In this paper, we present a new extreme point algorithm to solve a mathematical program with linear complementarity constraints without requiring the upper level objective function of the problem to be concave. Furthermore, we introduce this extreme point algorithm into piecewise sequential quadratic programming (PSQP) algorithms. Numerical experiments show that the new algorithm is efficient in practice.

In a haystack-type representation of a heterogeneous population that is evolving according to a payoff structure of a prisoner’s dilemma game, migration is modeled as a process of ‘swapping’ individuals between heterogeneous groups of constant size after a random allocation fills the haystacks, but prior to mating. Migration is characterized by two parameters: an exogenous participation-in-migration cost (of search, coordination, movement, and arrangement-making) which measures the migration effort, and an exogenous technology—of coordinating and facilitating movement between populated haystacks and the colonization of currently unpopulated haystacks—which measures the migration intensity. Starting from an initially heterogeneous population that consists of both cooperators and defectors, a scenario is postulated under which ‘programmed’ migration can act as a mechanism that brings about a long-run survival of cooperation.

Despite substantial prior research on new product success, there are still high failure rates. Why might this be the case? This paper argues that (1) the most important determinants of new product success involve managerial behavior and therefore a need exists to examine the influence of innovation orientation of human resource management (IO-HRM) on these determinants, and (2) these relationships are moderated by the type of innovation, product versus service. Data from 275 product innovation projects suggest that IO-HRM is a significant predictor of not only new product success but also its prime determinants: the proficiency of development activities, product advantage, marketing synergy, and top management support. Further, the linkage between IO-HRM and new product success and marketing synergy is found to be stronger in service than in product innovation projects.

In this paper, we investigate the dynamic multicast routing problem and briefly discuss the common dynamic multicast routing algorithm called Least Load Multicast Routing (LLMR). We propose two new multicast routing algorithms called Least Load Multicast Routing with Maximum Occupied Circuits (LLMRMOC) and Least Load Multicast Routing with Minimum Measured Blocking Time (LLMRMMBT), both of which are based on LLMR. Simulation results show that these algorithms, compared with LLMR, not only produce a smaller network revenue loss, but also result in smaller call blocking probabilities for all classes of traffic. The moderate gain in the network performance comes only a slight additional cost. The implementation issues of the proposed algorithms are also discussed.

Sniping agents are increasingly being deployed to assist bidders in acquiring items in online auctions. This paper reviews the extant auction literature and proposes an overarching sniping agent design framework that could potentially increase the commercial viability of snipping agents. For better alignment between the functions of sniping agents and the needs of human bidders, we review existing literature based on three fundamentals: (1) knowledge about human bidder behavior, (2) awareness of the product(s) desired by a bidder, and (3) an understanding of the research on bidding agents and auction design. The output of this review is the explicit consideration of iterative combinatorial auction agent design, fuzzy set representation of the bidder’s preferences and dynamic derivation of bidding strategies according to the progress of ongoing auctions.

This paper considers the component assignment problem (CAP) of finding the optimal assignment of n available components to n positions in a system such that the system reliability is maximized. To solve the CAP, an important type of problems in reliability, we propose a Birnbaum-importance based genetic local search (BIGLS) algorithm in which a local search using the Birnbaum importance is embedded into the genetic algorithm. This paper presents comprehensive numerical tests to compare the performance of the BIGLS with a general genetic algorithm and a Birnbaum-importance based two-stage heuristic. The testing results show that the BIGLS is robust (with respect to its random operations) and effective, and outperforms two benchmark methods in terms of solution quality. It demonstrates the effectiveness of embedding the Birnbaum importance in the local search under the genetic evolutionary mechanism.

This paper analyzes the deposit-takingmarket in Hong Kong prior to the deregulation ofinterest rates in 1994. We argue that bankingregulations, in the forms of branching restrictionsand interest-rate ceilings, had created amonopsonistic market for short-term bank deposits. Asa result, banks in Hong Kong had earned asubstantially wider interest-rate margin than banks inother Asia-Pacific countries and the United States. We provide procedures to estimate the economicsignificance of the foregone interest and find themonopsonistic rent to be in the order of 1% of theGross Domestic Product of Hong Kong for the period1987 through 1994.

In this paper, we address an empirical question: is there evidence to substantiate the assumption that the post-war liberalization of world trade has actually led to a significant increase in the world GDP? In our attempt to answer that question, time series data in the Penn World Table 6.1 are aggregated across countries to obtain a measure of world trade and output, and the total number of GATT/WTO member countries is employed as an explanatory variable to account for the impact of multilateral trade agreements, such as the Kennedy Round, Tokyo Round, and the Uruguay Round, on the trade-growth nexus. We then examine the relationship between world trade and the post-war GDP per worker across the world through the multivariate cointegration and error correction modeling and the Granger causality test. The results suggest that, at the global level, the post-war liberalization of multilateral trade has promoted both GDP and trade activities. There is also evidence that supports the export-led growth hypothesis in the world economy.

Two simple and tight delay lower bounds are derived for packet satellite protocols with memoryless packet arrival process and single copy transmission. One bound is for protocols with contention‐free reservation and the other is for protocols with contention‐based reservation. The derivation indicates that for minimum delay, a protocol should strive to maintain a balance between transmitting packets immediately and making reservations before transmissions.

In this paper, a new analytical model for performance analysis of output-buffered Banyan networks is proposed. In this model, we consider not only the number of packets stored in a buffer, but also the state of the buffer's Head of Line (HOL) packet (“new” or “blocked”). Simulations are used to verify the model's accuracy. The analytical results show that the maximum throughput decreases when the switch size increases, and that the throughput increases as the buffer size increases. When the buffer size is large enough, say 10, the maximum throughput is close to saturation. The maximum normalized delay increases almost linearly with the increase in buffer size.

In this paper a barrier function method is proposed for approximating a solution of the nonconvex quadratic programming problem with box constraints. The method attempts to produce a solution of good quality by following a path as the barrier parameter decreases from a sufficiently large positive number. For a given value of the barrier parameter, the method searches for a minimum point of the barrier function in a descent direction, which has a desired property that the box constraints are always satisfied automatically if the step length is a number between zero and one. When all the diagonal entries of the objective function are negative, the method converges to at least a local minimum point of the problem if it yields a local minimum point of the barrier function for a sequence of decreasing values of the barrier parameter with zero limit. Numerical results show that the method always generates a global or near global minimum point as the barrier parameter decreases at a sufficiently slow pace.

This article examines the effect of organizational forms on corporate dividend decisions by exploring the differences in dividend payout ratios between mutual and stock property–liability (P–L) insurers in the US. Our large sample evidence suggests: (1) mutual insurers tend to have a lower dividend payout ratio than stock insurers and the observed difference is about 4% points, holding other factors constant; (2) mutual insurers tend to adjust dividend payout ratios toward their long-run target levels more slowly than stock firms. These results are consistent with the capital constraints and/or greater agency costs of equity in mutual insurers.

In recent years, fierce market competition has increased the need for incorporating manufacturing flexibility into product styling. The product styling platform approach proposed in this paper offers an insight into how this challenge can be dealt with by transforming an existing product fashion into an intangible styling module with the view to refreshing its appeal. This paper addresses the important issues of how the approach can be turned into a robust applicational tool to facilitate the design of product families to satisfy diverse customer needs. The paper investigates the nature and quantification of modular styling. By capturing and analysing design experts’ opinions on product styling, the evolution of a fashion can be quantified in the form of a schema of diffusion styles. The study has also led to the development of the ideas of “Prompt Time Market Segmentation Grid” and the “Active Style Diagnosis”. The concepts are applied in an “Active Product Styling Platform” with scalable and expandable capabilities to enhance the effectiveness of conventional product styling practices. This approach can also help the formation of product style families and facilitate the development of products particularly in a mass customisation environment.

To properly implement and use electronic commerce systems companies need to evaluate considerable amount of information from their business environment in activities such as environmental scanning. This information is needed both for strategic management and for operational decisions. However, the relevant information may be difficult to find and interpret due to information overload and the fact that the information may be in many locations. Fortunately, most of the information is on the Web (Internet, extranets). To overcome the search problem, especially in large organizations, one should consider the use of software agents. This paper presents an overview for the utilization of such agents today and in the future by describing a prototype system designed for information monitoring and collection from Web sources for the pulp and paper industry. The paper also describes the use of other agents that can supplement the system in specific electronic commerce application areas. Finally, some implementation issues are discussed.

While it is known that information exchange (IE) in a value chain improves resource coordination, scant attention has been paid to two issues. The first issue is the effect of relative bargaining strengths of the parties on whether and how IE will be implemented. The second issue is whether a resource-based costing system is adequate to motivate the implementation of information exchange. In this paper, we model a value chain consisting of a manufacturer and a retailer, where the retailer gets (private) demand information that has the potential of improving the manufacturer’s resource decisions. In this model, it is always beneficial for the value chain to implement IE. We show that in a monopsony or in a bilateral monopoly when the retailer has sufficient bargaining power, IE can be implemented if and only if the wholesale price compensates him for the loss of the information rent that he would get without IE. Using this model as the benchmark, we also examine other settings where the retailers have less bargaining power due to competition or size. In such settings, even though the retailers are better informed, the manufacturer can implement the IE regime costlessly and appropriate the information rent partially or fully. In effect, the manufacturer benefits both by improved resource coordination and by reduced payment for information rent. In all these settings, we find the retailer will not be motivated to adopt IE solely by a resource-based costing and pricing system.

A new venture is likely to be perceived as either an opportunity or a risk. People also vary in their subjective judgment of the probability of a new venture’s success. From an affective approach, this study investigates how people’s feelings about the outcomes of a venture affect their subjective judgment on the value and probability of founding a new business. It was found that an entrepreneur’s hope of creating a successful new venture significantly increases the attractiveness and perceived success likelihood of the new venture. Those who show less fear of failure and lower surprise for the success tend to view a new venture as an opportunity. Those who show less anger, regret, and higher contempt of failure and lower surprise of success as well as lower trait sadness judge a higher subjective probability for the success of founding a new firm. These findings reveal entrepreneurs’ initiatives in economic activities. Positive and negative implications are discussed, particularly for entrepreneurial activities in China.

This paper studies options on the minimum/maximum of two average prices. We provide a closed-form pricing formula for the option with geometric averaging starting at any time before maturity. We show overwhelming numerical evidence that the variance reduction technique with the help of the above closed-form solution dramatically improves the accuracy of the simulated price of an option with arithmetic averaging. The proposed options are found widely applicable in risk management and in the design of incentive contracts. The paper also discusses some parity relationships within the family of average-rate options and provides the upper and lower bounds for the proposed options with arithmetic averaging.

This article examines the degree of autonomy of Hong Kong’s Airport Authority (AA). Traditionally, airport management in Hong Kong was the responsibility of the government’s Civil Aviation Department. The AA was established in 1995 to manage the new international airport at Chek Lap Kok which opened in 1998. It was expected to run as a commercial enterprise but, because of its strategic importance, there was concern that it should not become an independent empire detached from government control. As a hybrid type of organization, the AA has moved steadily towards full commercialization. The government has also put its privatization on the agenda. Its transformation may have some implications for the redefinition of the future autonomy boundaries of public corporations in Hong Kong.

The creation and ongoing management of a large economic model can be greatly simplified if the model is managed in separate smaller pieces defined, e.g. by region or commodity. For this purpose, we define an extension of Dantzig–Wolfe decomposition for the variational inequality (VI) problem, a modeling framework that is widely used for models of competitive or oligopolistic markets. The subproblem, a collection of independent smaller models, is a relaxed VI missing some “difficult” constraints. The subproblem is modified at each iteration by information passed from the last solution of the master problem in a manner analogous to Dantzig–Wolfe decomposition for optimization models. The master problem is a VI which forms convex combinations of proposals from the subproblem, and enforces the difficult constraints. A valid stopping condition is derived in which a scalar quantity, called the “convergence gap,” is monitored. The convergence gap is a generalization of the primal-dual gap that is commonly monitored in implementations of Dantzig–Wolfe decomposition for optimization models. Convergence is proved under conditions general enough to be applicable to many models. An illustration is provided for a two-region competitive model of Canadian energy markets.

This article presents a theory of government expenditure and identifies how an inefficient government budget is shaped by its initial size and allocation. Assuming that the parties in the legislative body agree with the optimal size of a government budget but have conflict of interests over its allocation, we show that, if the initial budget size is sufficiently large and the initial allocation is sufficiently unequal, in equilibrium the budget size is greater than what it would be had the initial budget size been sufficiently small.

Two empirical questions concerning the equity and housing have been studied extensively: (1) Are the price and return serially correlated, and (2) What is the optimal weight of housing in the portfolio? The answer to the second question crucially depends on the cross-correlation of assets. This paper complements the literature by building a simple dynamic general equilibrium with fully rational agents, and obtain closed form solutions for the implied auto- and cross-correlations. The length of time horizon, as well as the persistence of economic shock matter. Implications and future research directions are then discussed.

We consider the problem of choosing a level of the public good for an economy in which agents have continuous and single-peaked preferences (Black, 1948). We show that a solution satisfyingstrategy-proofness andcontinuity if and only if it is an augmented median-voter solution. Anaugmented median-voter solution is described in terms of 2ⁿ parameters (which satisfy an antimonotonicity condition) as follows:n+1 of them are selected according to an increasing order of the peaks; the outcome is the median of thesen+1 parameters and then peaks. This result establishes a formal connection between strategy-proofness and a generalized notion of median voter. (Similar median formulas were used by Moulin (1980) to describe smaller classes of solutions.) We provide an interpretation of these 2ⁿ parameters in terms of the following properties:anonymity, voter sovereignty, unanimity, andPareto efficiency.

Mobile health services have become increasingly important for people, especially for the elderly. Despite the potential benefits, there are challenges and barriers for the elderly in adopting mobile health services. Drawing upon the dual factor model, we investigate the enablers and the inhibitors of the elderly mobile health service adoption behaviour. We also address two typical characteristics of elderly users—technology anxiety and dispositional resistance to change—to understand the antecedents of the enablers and the inhibitors. The hypothesized model is empirically tested using data collected from a field survey of 204 customers of a large elderly service providing company in China. The key findings include: (1) resistance to change influences perceived usefulness but does not influence perceived ease of use and adoption intention; (2) technology anxiety is negatively associated with perceived ease of use but positively associated with resistance to change; (3) dispositional resistance to change is negatively associated with perceived ease of use but positively associated with resistance to change. Implications for research and practice are discussed.

A notion of the positive spatial association is introduced in this paper to analyze spatial dependence of Boolean models with the focus on estimating the long-range spatial dependence. The explicit tail estimates for probabilities of simultaneous damage to two distant spatial regions are obtained using the regular variation method, and the long-range spatial covariance for the Boolean models with heavy-tailed grains is shown to decay at the power-law rate that is smaller than the tail decay rate of grains. Examples and applications to spatial reliability modeling are also discussed.

Abstact

The emergence and widespread use of collaborative technologies for distributed project management has opened up opportunities for off-shore outsourcing and collaborative development. However, most tools and techniques for project management focus on on-site, long term relationships and sourcing strategies at a time when inter-organizational relationships are becoming more dynamic and geographically dispersed. This paper uses grounded theory to analyze data on virtual teams' projects. The analysis uncovers “effects” in the way in which distributed projects are managed. These effects relate to coordination, communication and adaptation to distributed electronic work environments. Following an analysis of these electronic collaboration “effects”, a model for distributed project management is presented.

Penalty function is an important tool in solving many constrained optimization problems in areas such as industrial design and management. In this paper, we study exactness and algorithm of an objective penalty function for inequality constrained optimization. In terms of exactness, this objective penalty function is at least as good as traditional exact penalty functions. Especially, in the case of a global solution, the exactness of the proposed objective penalty function shows a significant advantage. The sufficient and necessary stability condition used to determine whether the objective penalty function is exact for a global solution is proved. Based on the objective penalty function, an algorithm is developed for finding a global solution to an inequality constrained optimization problem and its global convergence is also proved under some conditions. Furthermore, the sufficient and necessary calmness condition on the exactness of the objective penalty function is proved for a local solution. An algorithm is presented in the paper in finding a local solution, with its convergence proved under some conditions. Finally, numerical experiments show that a satisfactory approximate optimal solution can be obtained by the proposed algorithm.

We study the following linear classification problem in signal processing: Given a set Bof n black point and a set W of m white points in the plane (m = O(n)), compute a minimum number of lines L such that in the arrangement of L each face contain points with the same color (i.e., either all black points or all white points). We call this the Minimum Linear Classification (MLC) problem. We prove that MLC is NP-complete by a reduction from the Minimum Line Fitting (MLF) problem; moreover, a C-approximation to MLC implies a C-approximation to the MLF problem. Nevertheless, we obtain an O(log n)-factor algorithm for MLC and we also obtain an O(log Z)-factor algorithm for MLC where Z is the minimum number of disjoint axis-parallel black/white rectangles covering B and W.

Modern business process management expands to cover the partner organisations’ business processes across organisational boundaries, and thereby supports organisations to coordinate the flow of information among organisations and link their business processes. With collaborative business processes, organisations can create dynamic and flexible collaborations to synergically adapt to the changing conditions, and stay competitive in the global market. Due to its significant potential and value, collaborative business processes are now turning to be an important issue of contemporary business process management, and attracts lots of attention and efforts from both academic and industry sides. In this paper, we review the development of B2B collaboration and collaborative business processes, provide an overview of related issues in managing collaborative business processes, and discuss some emerging technologies and their relationships to collaborative business processes. Finally, we introduce the papers that are published in this special issue.

Let G= (V, E) be a graph without isolated vertices. A set S⊂V is a paired-dominating set if it dominates V and the subgraph induced by S,〈S〉, contains a perfect matching. The paired-domination number γ_p(G) is defined to be the minimum cardinality of a paired-dominating set S in G. In this paper, we present a linear-time algorithm computing the paired-domination number for trees and characterize trees with equal domination and paired-domination numbers.

Workflow technology has recently been employed not only within businesses but also as a framework for implementing e-services over the Internet. Such e-services typically require collaborative enactment of workflows across multiple organizations. In this paper, we propose the use of workflow views as a fundamental support mechanism for the interoperability of multiple workflows across business organizations. We present a meta-model of workflow views and their semantics using a cross-organization workflow example based on a supply-chain e-service. We also formulate an interoperation model of workflow views and its consistency criteria. Finally, this paper presents an implementation of the model based on XML and contemporary Web services technologies, with adaptation to our E-ADOME workflow engine.

We offer an institution-based view to the classic inquiry on the relationship between family business and firm performance, which has been dominated by traditional theories such as agency theory and the resource-based view. Specifically, we argue that institutions define family business characteristics such as ownership concentration and family management, and also affect the performance of family business. Our research contributes to a reconciliation of prior inconsistent findings and calls further attention to the embedded nature of family business in institutions.

The connected dominating set plays an important role in ad hoc wireless networking. Many constructions for approximating the minimum connected dominating set have been proposed in the literature. In this paper, we propose a new one with Steiner tree, which produces approximation solution within a factor of 6.8 from optimal. This approximation algorithm can also be implemented distributedly.

SFAS No. 115 modified classification of debt and equity securities held by firms and also modified the reporting format for unrealised gains/losses on security transactions (URGL). This study investigates whether implementation of SFAS No. 115 improved information content of earnings and earnings components of commercial banks. Improvement in the information content is measured by comparing the association between equity returns and earnings and earnings components of the post-adoption period of SFAS No. 115 with the pre-adoption period.

The test results indicate that the association of equity returns with earnings components and aggregate earnings is significantly stronger in the post-adoption period compared to the pre-adoption period. The improvement is especially evident for the components of URGL and non-interest revenues. These results suggest that information provided by earnings components is considered more value relevant for investment decision after implementation of SFAS No. 115. Findings on non-interest revenues indicate that revenues from banking activities other than lending also play an important role in the commercial banks' profitability.

Innovations associated with information and communication technology (ICT) have opened up new opportunities for the global economy and ushered in the age of e-commerce. Our objective in this research is to explore the role of Internet-based selling technology, which acts as technology infrastructure for B2C e-commerce growth at the country level. This study proposes the use of a new hybrid growth theory approach as the theoretical basis for examining exogenous and endogenous factors that influence e-commerce growth over time. We estimate three different models to evaluate their explanatory capabilities. We investigate a panel-corrected feasible generalized least squares regression that incorporates the direct effects of country-level variables. We also specify an endogeneity-adjusted two-stage least squares model and estimate it with an embedded technology adoption function in a simultaneous equation model. This permits the analysis of the relevance of IT infrastructure, as well as reverse causality between e-commerce growth and Internet-based selling technology. We test these models using archival data for four different regions, based on either 24 or 42 countries around the world, depending on the data requirements of the models. Our empirical tests evaluate quasi-production environmental inputs, in which technology determines the environment of production of e-commerce services. Our main finding is that both endogenous variables (e.g., Internet user penetration, capital invested in telecommunication) and exogenous variables (international openness) drive the GDP-normalized level of B2C e-commerce revenues over time. A second main finding is that it is useful to include an embedded technology adoption function in a modeling specification for growth, since growth is founded on the availability of relevant IT infrastructure that is made possible by the availability of venture capital. In addition, B2C e-commerce revenue growth and venture capital also contribute to the adoption of Internet-based selling technology. We discuss our overall approach for the interpretation of the strength of our main findings, as well as the policy implications, and why our hybrid growth theory approach is useful.

Fostering and maintaining buyer–supplier relationships is a fundamental premise of many channel initiatives. Indeed, these relationships may culminate in significant performance enhancements and competitive advantage. Yet these relationships may also result in competitively harmful events such as partner opportunism. Despite this potential competitive erosion, there is a lack of studies examining the interplay between the drivers and deterrents of opportunism. By building on transaction cost economics and social capital theory, we examine, via a sample of 400 manufacturing firms in China, how the interplay between drivers (relationship-specific investments and behavioral uncertainty) and deterrents (inter-firm social capital) of opportunism affect partner opportunism in buyer–supplier exchanges. The significance of this interplay between the drivers and deterrents sheds new light on how a firm can leverage social capital to curb the harmful effects of opportunism.

Group Support Systems (GSS) technology, extensively applied in decision-making contexts, is now seeing increased application in the educational sector. Previous work has suggested that GSS applications can have significant positive effects on both the process and the outcome of collaborative learning. This study extends this work to examine the effects of process (high/low) and content (high/low) facilitation restrictiveness on GSS-supported collaborative learning. Our results indicate that content facilitation restrictiveness has no significant bearing on student learning. Process facilitation restrictiveness, on the other hand, is more influential, with knowledge acquisition by students requiring a low restrictive environment.

The present study intended to explore role of intra-organizational coordination in policy implementation in urban Bangladesh. In doing so, an attempt was also made to investigate why and how problems of intra-organizational coordination take place in policy implementation. The study was basically based on empirical data gathered during 2003–2004. The available data substantiated that intra-organizational coordination is an important factor for policy implementation. Problems of coordination within organization in urban Bangladesh take place owing to lack of institutionalized rules and regulation and problematic financial management. Once coordination within organization is problematic, policy implementation is hampered which resulted in delay in project completion, increase of cost and unsatisfactory public service delivery.

Despite the proliferation of Internet retailing and the relative novelty and complexity of this phenomenon, very little theory-guided qualitative research has been conducted to improve our understanding of the adoption of Internet retailing project by SMEs. This study presents a theoretical framework for analyzing the adoption of Internet retailing for SMEs. Organizational readiness (IT sophistication, financial resources, and customer readiness), perceived benefits of Internet retailing, and environmental factors are proposed to be the key drivers of adoption of Internet retailing. This research was designed using a qualitative approach through in-depth case studies selected from firms in Hong Kong where there is a proliferation of SMEs. The contextual meaning and practical manifestation of the key adoption factors were captured through the case studies. Our findings provide preliminary support for the proposed research framework, and contribute towards a better conceptual and practical understanding of the main factors driving SMEs to adopt Internet retailing. Contrary to popular belief, customer readiness for Internet shopping was not found to be a significant factor influencing SMEs' decision to adopt Internet retailing.

To market important products to families successfully, salespeople must understand how couples behave in concert to resolve conflict across major decisions. The authors develop a model of spousal fairness and test it with a study of multi-period family purchase decision making. The results show that a spousal sense of fairness serves as a mechanism for contemporary couples to harmonize conflict over time in family decisions. Specifically, spouses’ perceived fairness mediates the relationship between spousal prior influence and spousal decision behavior in subsequent decisions. Spouses also consider their partner’s perceptions of fairness when taking action to restore fairness. Moreover, the effects of perceived fairness are moderated by spousal traits of empathy, egalitarianism, and empowerment in a gendered pattern.

This paper examines the demand and supply of annual and multi-year insurance contracts with respect to protection against a catastrophic risk in a competitive market. Insurers who offer annual policies can cancel policies at the end of each year and change the premium in the following year. Multi-year insurance has a fixed annual price for each year and no cancellations are permitted at the end of any given year. Homeowners are identical with respect to their exposure to the hazard. Each homeowner determines whether or not to purchase an annual or multi-year contract so as to maximize her expected utility. The competitive equilibrium consists of a set of prices where homeowners who are not very risk averse decide to be uninsured. Other individuals demand either single-year or multi-year policies depending on their degree of risk aversion and the premiums charged by insurers for each type of policy.

This paper studies the impact of land supply elasticity and land use regulation. For sufficiently adverse shocks constrained entrepreneurs liquidate their assets for debt repayment. This effect can spillover to the residential property market. A crisis occurs when households are forced to default on their mortgages as well. While both converting costs and land use regulation tend to magnify the effect of adverse shock, the former generates an asymmetric effect between a positive and a negative shock on the land market, and the latter tends to raise the likelihood of a crisis, by raising the threshold value of liquidation.

Decision making in virtual teams is gaining momentum due to globalization, mobility of employees, and the need for collective and rapid decision making by members who are in different locations. These factors resulted in a proliferation of virtual team software support tools for decision making, the latest of which is social software (also known as collaboration 2.0), which includes tools such as wikis, blogs, microblogs, discussion forums, and social networking platforms. This paper describes the potential use of collaboration 2.0 software for improving the process and the specific tasks in virtual group decision making. The paper proposes a framework for exploring the fitness between social software and the major activities in the group decision making process and how such tools can be successfully adopted. Specifically, we use a fit-viability model to help assessing whether social software fit a decision task and what organizational factors are important for such tools to be effective. Representative research issues related to the use of such tools are also presented.

Due to the complexity of economic system and the interactive effects between all kinds of economic variables and foreign trade, it is not easy to predict foreign trade volume. However, the difficulty in predicting foreign trade volume is usually attributed to the limitation of many conventional forecasting models. To improve the prediction performance, the study proposes a novel kernel-based ensemble learning approach hybridizing econometric models and artificial intelligence (AI) models to predict China’s foreign trade volume. In the proposed approach, an important econometric model, the co-integration-based error correction vector auto-regression (EC-VAR) model is first used to capture the impacts of all kinds of economic variables on Chinese foreign trade from a multivariate linear analysis perspective. Then an artificial neural network (ANN) based EC-VAR model is used to capture the nonlinear effects of economic variables on foreign trade from the nonlinear viewpoint. Subsequently, for incorporating the effects of irregular events on foreign trade, the text mining and expert’s judgmental adjustments are also integrated into the nonlinear ANN-based EC-VAR model. Finally, all kinds of economic variables, the outputs of linear and nonlinear EC-VAR models and judgmental adjustment model are used as input variables of a typical kernel-based support vector regression (SVR) for ensemble prediction purpose. For illustration, the proposed kernel-based ensemble learning methodology hybridizing econometric techniques and AI methods is applied to China’s foreign trade volume prediction problem. Experimental results reveal that the hybrid econometric-AI ensemble learning approach can significantly improve the prediction performance over other linear and nonlinear models listed in this study.

Using a sample of 21,608 firm-years from 34 countries during 1998–2004, this study evaluates the impact of voluntary adoption of the International Financial Reporting Standards (IFRS) on a firm’s implied cost of equity capital. We find that the implied cost of equity capital is significantly lower for the full IFRS adopters than for the non-adopters even after controlling for potential self-selection bias and firm-specific and country-level factors that are known to affect the implied cost of capital. This result holds irrespective of institutional infrastructure determining a country’s governance and enforcement mechanisms. We also find that the implied cost of equity capital decreases with the efficacy of institutional infrastructure. Moreover, we provide evidence that the cost of capital-reducing effect of IFRS adoption is greater when IFRS adopters are from countries with weak institutional infrastructures than when they are from countries with strong infrastructures. The above results are robust to a battery of sensitivity checks.

In this paper, we are concerned with the nondifferentiable multiobjective programming problem with inequality constraints. We introduce four new classes of generalized d-type-I functions. By utilizing the new concepts, Antczak type Karush-Kuhn-Tucker sufficient optimality conditions, Mond-Weir type and general Mond-Weir type duality results are obtained for non-differentiable and multiobjective programming.

This paper presents an algorithm for finding a global minimum of a multimodal, multivariate and nondifferentiable function. The algorithm is a modification to the new version of the Price’s algorithm given in Brachetti et al. [J. Global Optim. 10, 165–184 (1997)]. Its distinguishing features include: (1) The number-theoretic method is applied to generate the initial population so that the points in the initial population are uniformly scattered, and therefore the algorithm could explore uniformly the region of interest at the initial iteration; (2) The simplified quadratic approximation with the three best points is employed to improve the local search ability and the accuracy of the minimum function value, and to reduce greatly the computational overhead of the algorithm. Two sets of experiments are carried out to illustrate the efficiency of the number-theoretic method and the simplified quadratic model separately. The proposed algorithm has also been compared with the original one by solving a wide set of benchmark problems. Numerical results show that the proposed algorithm requires a smaller number of function evaluations and, in many cases, yields a smaller or more accurate minimum function value. The algorithm can also be used to deal with the medium size optimization problems.

This paper implements a comprehensive study on the long run post-issue operating performance of more than 700 initially public offerings (IPOs) in the Japanese over-the-counter market (JASDAQ) from 1991 to 2001. Empirical results document dramatic and continuing operating underperformance that are robust to industry or mean reversion adjustment. The diagnostic tests for behavioral explanations further uncover the salient decline of market expectations by various measures over the post issuing years, as well as the upsurge in company expansion around the offering years followed by the striking dwindle soon afterwards. These findings jointly shed light on the systematic over-optimism of market investors and managers at the time of IPO events. The multiple regression analysis also demonstrates robust evidence that is favorable for the hypotheses of “Windows of Opportunity” and market timing. In contrast, we do not find that there are significant associations between changes in alternative insider ownership and the evolution of operating performance. We suggest the explanations based on the agency problem theory are not effective in explaining the long run operating underperformance of JASDAQ IPOs.

This paper combines copula functions with GARCH-type models to construct the conditional joint distribution, which is used to estimate Value-at-Risk (VaR) of an equally weighted portfolio comprising crude oil futures and natural gas futures in energy market. Both constant and time-varying copulas are applied to fit the dependence structure of the two assets returns. The findings show that the constant Student t copula is a good compromise for effectively fitting the dependence structure between crude oil futures and natural gas futures. Moreover, the skewed Student t distribution has a better fit than Normal and Student t distribution to the marginal distribution of each asset. Asymmetries and excess kurtosis are found in marginal distributions as well as in dependence. We estimate VaR of the underlying portfolio to be 95% and 99%, by using the Monte Carlo simulation. Then using backtesting, we compare the out-of-sample forecasting performances of VaR estimated by different models.

Measures of economic performance, such as accounting earnings, working capital and cash flows, have been evaluated in tests of relative explanatory power of regressions of market returns on earnings, working capital and cash flows. We employ a different test. Using Basu’s (J Finance 663–682, 1977) investment trading strategy, we measure portfolio returns based on these three accounting measures of earnings. The objective is to ascertain whether investment performance also supports the findings of the explanatory power studies that accounting earnings is the premier measure of performance. The evidence does not support this conclusion. Our findings are at variance with prior conclusions that accounting earnings is more useful than cash flow. The Basu trading strategy is effective for all three measures. Excess market returns are observed for all three measures, even when controlled for risk and for low priced stocks. But accounting earnings portfolios do not dominate working capital or cash flow portfolios. In fact, the raw returns to cash flow portfolios are marginally (statistically) larger than accounting earnings portfolios. Economically, a dollar invested in a portfolio using accounting earnings to select the stock would have an accumulated value of $22.73 while the same dollar investment using cash flow instead of accounting earnings would accumulate a value of $33.94 over the same 16 years starting with the second quarter of 1988 and concluding at the end of the first quarter of 2004. Thus, our results have implications for the studies of explanatory power of different measures of earnings and their comparison in the US and other markets.

Project portfolio selection is one of the most important decision-making problems for most organizations in project management and engineering management. Usually project portfolio decisions are very complicated when project interactions in terms of multiple selection criteria and preference information of decision makers (DMs) in terms of the criteria importance are taken into consideration simultaneously. In order to solve this complex decision-making problem, a multi-criteria project portfolio selection problem considering project interactions in terms of multiple selection criteria and DMs’ preferences is first formulated. Then a genetic algorithm (GA)-based nonlinear integer programming (NIP) approach is used to solve the multi-criteria project portfolio selection problem. Finally, two illustrative examples are presented for demonstration and verification purposes. Experimental results obtained indicate that the GA-based NIP approach can be used as a feasible and effective solution to multi-criteria project portfolio selection problems.

This study, based on a sample of 1869 observations from 1989 to 1993 for non-regulated U.S. firms, examines the association between investment opportunity set (IOS), free cash flows (FCF) and debt, and also tests whether firm size acts as a moderating variable on this association. The results show that there is a significantly positive association between FCF and debt for low IOS firms, which provide support to Jensen's (1986) “control hypothesis”. The results also show that the positive association between debt and high FCF for low IOS firms is more pronounced for large firms, suggesting that the firm size serves as a moderating variable on the association.

Unlike free-standing companies, joint ventures involve more complex governance structures and organizational systems. Because of interpartner dependence in the managerial process, it is more difficult for joint ventures to configure their strategies with environmental dynamics. Without such configuration, however, joint ventures will suffer from operational instability and resource misallocation. This study assesses the strategic response of joint ventures to a dynamic environment. Based on a survey of top managers in international joint ventures (IJVs) in China, it is found that managerial perceptions of increased environmental complexity and hostility are positively related to an Analyzer strategy. Proactive and Defensive strategies are either negatively or non-significantly linked with perceived environmental dynamics. Further, the Analyzer strategy is associated with superior performance for IJVs in the context of an emerging economy.

Asset management has long been considered as an important issue in enterprises. With the maturing of the Radio Frequency Identification (RFID) technology, automated management of assets (particularly for mobile ones) in an enterprise using RFID becomes practical. We have developed a RFID-based Asset Management System (RAMS) for a large telecommunication enterprise and this paper details how we maintain the whole life-cycle of assets from their acquisition, transfer, maintenance, audit taking, to retirement. Our system also displays spatial information of assets on an electronic geographical map using Web-based Geographical Information System (WebGIS) technology. Further asset security is improved by automated notification of asset movement and malfunction alarm through Short Message System (SMS). To improve the sending time of the alarm SMSs that have high priority, we also develop a Maximum Position First (MPF) speed-up algorithm for their scheduling. Our initial deployment shows that our system can improve the availability of assets and reduce the asset management cost dramatically.

We study the following linear classification problem in signal processing: Given a set B of n black point and a set W of m white points in the plane (m=O(n)), compute a minimum number of lines L such that in the arrangement of L each face contain points with the same color (i.e., either all black points or all white points). We call this the Minimum Linear Classification (MLC) problem. We prove that MLC is NP-complete by a reduction from the Minimum Line Fitting (MLF) problem; moreover, a C-approximation to Minimum Linear Classification implies a C-approximation to the Minimum Line Fitting problem. Nevertheless, we obtain an O(log _n)-factor algorithm for MLC and we also obtain an O(log _Z)-factor algorithm for MLC where Z is the minimum number of disjoint axis-parallel black/white rectangles covering B and W.

In the e-world where many of us live and work, virtual work arrangements will become increasingly commonplace. This paper reports on an exploratory study into the way in which consultants can ply their trade virtually with clients whom they never meet. US-located e-consultants provided advice to Hong Kong-located web site developers on the interface and content aspects of a website that was being developed for an international audience. Extensive analyses of the communication between the consultants and developers is undertaken, in parallel with an analysis of survey data obtained from the two sets of stakeholders. Lessons are drawn for future research and practice.

The community of practice (CoP) concept has grown in popularity, yet remains under-studied. In particular, we have not developed a sufficient understanding of the individual outcomes associated with CoP engagement. This paper offers a fresh research model that identifies three practice-based concepts described in the CoP literature—shared repertoire, joint enterprise, and mutual engagement—and links them to individual learning outcomes. Survey measures are developed using a card sorting procedure, a research model is pilot tested using survey data collected from 53 graduate students in a large Canadian university, and then the model is field-tested using interview and survey data collected from 59 employees in a non-profit organization. The paper offers a new set of distinct CoP measures, and examines how they are associated with learning. A discussion of practical implications and future research directions is provided.

This paper presents a dynamic model of elections, government formation, and legislation in a parliamentary democracy with proportional representation in which the policy chosen in one period becomes the status quo for the next period. The electorate votes strategically by taking into account the likely governments that parties would form based on their representation and the policies they would choose as a function of the status quo. The status quo thus affects both the election outcomes and the bargaining power of the parties during government formation. A formateur party therefore has incentives to strategically position the current policy to gain an advantage in both the next election and the subsequent bargaining over government formation and policy choice. These incentives can give rise to centrifugal forces that result in policies that are outside the Pareto set of the parties.

This paper confirms that a regime-switching model out-performs a linear VAR model in terms of understanding the system dynamics of asset returns. Impulse responses of REIT returns to either the federal funds rate or the interest rate spread are much larger initially but less persistent. Furthermore, the term structure acts as an amplifier of the impulse response for REIT return, a stabilizer for the housing counterpart under some regime, and, perhaps surprisingly, almost no role for the stock return. In contrast, GDP growth has very marginal effect in the impulse response for all assets.

This study addresses the moderating role of empowerment on the relationship between leader–member exchange (LMX) quality and subordinates’ organizational citizenship behavior (OCB). Using hierarchical multilevel analyses, we found that LMX is positively related to OCB. Likewise, we found that team-level empowerment climate is positively related to individual-level feelings of empowerment, which, in turn, positively moderate the positive effect of LMX on OCB.

As remote work arrangements have gained in popularity, workforce dispersion has become increasingly widespread. Little research to date has examined how physical distance influences leader–follower communication effectiveness or leader performance. Building on top of transformational leadership theory, this paper explores how perceived leader performance is influenced by leadership style, physical distance, and communication effectiveness between leaders and followers. A survey of 138 followers, reporting to a total of 41 leaders, was conducted and data were analyzed at the individual follower-level using the Partial Least Squares (PLS) technique. Our model explained 45% of the variance in communication effectiveness and 67% of the variance in perceived leader performance. Consistent with past empirical findings, transformational leadership was associated more strongly with perceived leader performance than transactional contingent reward leadership. Communication effectiveness was also a strong predictor of leader performance, and furthermore acted as a mediator of leadership behavior on performance. Surprisingly, distance had no influence on either communication effectiveness or perceived leader performance. Implications for theory and practice are discussed.

This study investigates the relationship between emotional display rule perceptions and job performance. Building on theories of emotional labor and ego-depletion, we cast employees’ positive and negative affective states at work as crucial moderators. Results obtained in a sample of 245 frontline service employees and their 63 immediate supervisors from a retail firm in China demonstrate that display rule perceptions were positively related with task and contextual performance among employees experiencing little positive affective states at work, but not among employees experiencing highly positive affect. Moreover, display rule perceptions were positively associated with one aspect of contextual performance (voluntary learning) among employees with little negative affect, whereas highly negative affect buffered this linkage. Taken together, this study highlights performance consequences of employees’ display rule perceptions and uncovers key boundary conditions for these relationships.

The consumer satisfaction literature has not, for the mos part, integrated individual values into the product evaluation process. Yet a comprehensive understanding of consumer satisfaction can best be attained by including both consumer and product factors. To demonstrate the usefulness of including individual values, this research focuses on one consumer value, namely, materialism. The authors empirically explore how this individual value is linked to consumers’ evaluations of products they have purchased. Using surveys, the authors collected data from a sample of college students (n=211) and a sample of adults (n=270). Across these two studies, using divergent samples and products, they find consistent evidence that materialism is negatively related to product satisfaction in product categories with high potential for status signaling, but unrelated to product satisfaction in product categories with lower potential for status signaling. The consumption goals that produce these product evaluations are empirically addressed

Semiconductor enterprises should continue to provide more capacity to meet the demands of the highly competitive semiconductor markets. Photolithography is usually the bottleneck process with the most expensive equipment in a semiconductor wafer fabrication system. Usually, photolithography area controls the performance of whole semiconductor manufacturing system. To improve the performances of the photolithography area with dynamic dispatching combination rules, a dynamic scheduling method based on Kohonen neural network (KNN) was proposed in this paper. A dynamic scheduling framework is also proposed. The method has been integrated into the dynamic scheduling framework. A KNN-based sample learning algorithm for selecting best combination rules is presented. Finally, the results of simulation experiments indicate that the proposed method is effective and feasible in real-time scheduling of semiconductor fabrication system under both closed-loop release policy and open-loop release policy.

Following an indigenous approach, the relationship of the relational orientation of Chinese employees with their innovative behavior is evaluated in China with a cross-level design. Based on relevant research and theorizing, relational orientation is tapped by two core elements, face and renqing (compassion for others). As expected, relational orientation is positively related to fear of failure, but negatively related to innovative behavior. The positive relationship between relational orientation and fear of failure, and the negative relationship between fear of failure and innovative behavior, are weaker when innovative climate is high. Theoretical and applied implications of the findings are discussed.

Contracting out generates competition and market discipline that is expected help reduce cost and improve the quality of the services. Several problems were detected in contract management of the Hong Kong Housing Authority and they were related to decision-making, monitoring, evaluation and the system of accountability. An examination based on the ‘principal-agent’ perspective reveals several pitfalls of contracting out in the public sector. A lack of coordination, eagerness to cut costs by accepting the lowest tender bids, improper project supervision, and inadequate manpower resulted in serious problems. This paper suggests a more careful approach to the award of contracts, monitoring and quality assurance as well as the inculcation of a spirit of trust and cooperation between the principal and agent, instead of the customary adversarial approach.

In the time of knowledge economy, competency among enterprises is focused on the competency of human resources. Employee turnover risk is becoming an important facet influencing the stability and development of enterprises. After analyzing employee turnover risk factors that could threaten enterprise production and operations, we proposed a multi-level model of the evaluation system for employee turnover risk based on the analysis of factors influencing employee turnover risk. A decision support system is proposed for employee turnover risk management using message processing mechanisms and software combination technology and system integration. Data, information and knowledge needed in the system come from enterprises’ internal application systems and external systems. The structure and components of the system which is based on Web Services are presented. We also proposed an analytic system based on knowledge management. At last, strategies to effectively manage employee turnover risk are proposed.

Energy is a scarce resource in wireless networks. Network coding has been proposed recently as a means to reduce the number of transmissions and energy consumption. In this paper, we introduce timing control into network coding to further enhance its performance. It is found that when bandwidth is sufficient, the extra delay introduced by waiting for additional data to perform network coding will increase the number of codings without affecting system throughput. Both delay and throughput suffers when bandwidth is insufficient. An adaptive energy-efficient timing control algorithm called AEETC is proposed which can automatically adjust local node’s transmission behavior on the basis of the network traffic conditions. Simulation results demonstrate that AEETC increases network coding by 7% to 60% for light network load and is able to provide good performance in terms of delay, throughput and the number of successful codings.

There are few studies on how the perception of supervisors by their subordinates contributes to high-quality leader-member exchange (LMX). We thus propose that the trust perception of supervisors by their subordinates can help explain the development of high-quality LMX. Furthermore, the trust perception may interact with supervisor-rated emotional intelligence to influence the quality of LMX, and, consequently, work performance. Using a longitudinal study on a sample of 285 supervisor-subordinate dyads from a manufacturing firm in China, we found that (1) supervisor-rated emotional intelligence of subordinates (Time 1) positively predicts the quality of LMX (Time 2); (2) this relationship is stronger when subordinates highly trust their supervisors (Time 1); (3) LMX (Time 2) positively predicts work performance (Time 3); and (4) LMX (Time 2) fully mediates the interactive effect of emotional intelligence (Time 1) and trust in the supervisor (Time 1) on work performance (Time 3).

This paper examines the welfare effects of inter-jurisdictional coordination of property taxes. Coordination in terms of compression, harmonization and radial changes of tax structure is considered. It is found that property tax coordination via uniform radial adjustments of taxes is in general welfare-superior to the other two types of tax changes. However, when there is a large disparity of initial tax rates between jurisdictions, harmonization of property taxes may lead to a larger welfare improvement.

Using monthly data for 160 stocks covering January 1977 to December 1991, we find that both the Historical Mean and the Industry Mean Models dominate the Global Mean and the Single Index Models. In theex-ante portfolio selection, the Historical Model dominates all other models when evaluated against the benchmark of the Global Minimum Variance Portfolio but a combination of historical correlation structure and Bayes-Stein Shrinkage expected returns dominates other models when the Optimal Tangency Portfolio is used as a benchmark for evaluation.

This paper contrasts the socio-cultural systems underpinning employment relations in the West and in the Overseas Chinese case. The analysis centres on the norm of reciprocity which, whilst taken as a universal phenomena, exhibits significant cross-cultural variation. Western employment relations are characterised by a model of impersonal rational economic exchange in which individuals engage in a utility calculus. Chinese employment relations remain more fully embedded in the wider socio-cultural system of which reciprocity is a vital and integral part. Employment relations are sustained by a personalistic tacit moral order. The implications for managing employment relations in changing and multi-cultural situations are discussed. The sustainabilty of the different employment relations systems are also discussed.

A general equilibriumm model of a foreign multinational enterprise's decisions on establishing a wholly-owned subsidiary or forming a joint venture is built on firm-specific knowledge and plant-specific knowledge when there are intraindustry and interindustry technology spillovers. The welfare effects of a host developing country under closed economies, unrestricted foreign direct investment, and the policy of minimum local ownership requirements are compared. A developing country's worry is confirmed: Introduction of competition from foreign firms may not improve the welfare of the host country. However, the minimum local ownership requirement is Pareto-superior to a closed economy.

This study argues that the government-relationship building efforts by foreign invested enterprises (FIEs) depend on the perceived level of regulatory uncertainties, which, in turn, is conditioned by the institutional distances between their home and host countries.

The regulatory antecedents (regulatory complexity and enforcement uncertainty) to government-relationship building by foreign-invested enterprises and the moderating effects of institutional distance (regulative and cultural distances) in the context of the large transition economy of China are examined using a sample of 424 foreign-invested enterprises.

The results show that they tend to actively engage in government-relationship building when regulatory uncertainties (complexity and enforcement uncertainties) are high. The moderating analyses reveal the strengthening effects of regulative distances on the relationship between regulatory uncertainties and government-relationship building and the mixed effects of cultural distance.

This article systematically examines the fundamental changes that have taken place in China's labour-management system since China embarked on its economic reforms in 1978. The system was, from the 1950s onwards, characterized by what were called the ‘three old irons’, i.e. life-time employment (the ‘iron rice bowl’), centrally administered wages (the ‘iron wage’), and state-controlled appointment and promotion of managerial staff (the ‘iron chair’). This study reviews the degree to which the reform process is breaking these ‘three old irons’ and is arguably replacing them with a ‘hybrid’ human resource management model, albeit with ‘Chinese characteristics’, that reflects the influence of foreign multinational corporations (MNCs) that have invested in China.

In this paper, we first discuss a class of inverse dominant problems under weighted l_∞ norm, which is how to change the original weights of elements with bounds in a finite ground set so that a given set becomes a weakly dominant set with respect to a given collection of subsets under the new weights and the largest change of the weights is minimum. This model includes a large class of improvement problems in combinatorial optimization. We propose a Newton-type algorithm for the model. This algorithm can solve the model in strongly polynomial time if the subproblem involved is solvable in strongly polynomial time. In the second part of the paper, we improve the complexity bound for Radzik’s Newton-type method which is designed to solve linear fractional combinatorial optimization problems. As Radzik’s method is closely related to our algorithm, this bound also estimates the complexity of our algorithm.

Computer supported teams are capturing the attention of academics and practitioners as organisations increasingly put them into practice as virtual teams. The practical relevance of current research into computer supported teams could be increased if greater attention is paid to organisational challenges as they form the context within which virtual teamwork takes place. A model of organisational challenges mapped against processes of adaptation is developed to highlight principle factors affecting virtual teams. A sample of current research groups studying computer-supported teams is plotted onto this map to reveal the extent to which current research addresses these contextual factors. From this map insights are distilled with respect to what is known and is not known about virtual teams. This paper concludes with specific research needs in the study of virtual teams.

To accommodate the criterion-referenced student group project assessment approach, this paper proposes a fuzzy group Multi-Criteria Decision Making (MCDM) model. The proposed model can be used to solve student group project assessment problem in particular and generic MCDM problems in general, where the criteria used are often different and can be scored with multiple preference formats. The proposed fuzzy group MCDM model supports seven different preference formats, including preference ordering, utility vector, linguistic term vector, selected subset, fuzzy selected subset, fuzzy preference relation, and normal preference relation. It has been firstly used in the context of Information Systems (IS) student group project assessment.

Using a sample of non-U.S. borrowers from 40 countries during 1997 through 2005, this paper investigates the effect of the voluntary adoption of International Financial Reporting Standards (IFRS) on price and nonprice terms of loan contracts and loan ownership structure in the international loan market. Our results reveal the following. First, banks charge lower loan rates to IFRS adopters than to non-adopters. The difference in loan rates in excess of a benchmark rate between the two groups is about 20 basis points for all loans and nearly 31 basis points for London Interbank Offered Rate (LIBOR)-based loans. Second, banks impose more favorable nonprice terms on IFRS adopters, particularly less restrictive covenants. We also provide evidence suggesting that banks are more willing to extend credit to IFRS adopters through larger loans and longer maturities. Finally, IFRS adopters attract significantly more foreign lenders participating in loan syndicates than non-adopters.

This paper studies one managerial decision problem of the auction sites: how to combine penalties with commissions? It is shown that when there exists secondary auction market, the auction whose penalty is a linear function of the seller’s commission will be more efficient than the auction with only commissions but no penalties. It has also been proven that using this strategy can maximize the expected revenue for the seller, the auction site and their total expected revenues.

In recent years, debt relief has once again been pushed to the forefront of political and economic interest. The general consensus is that with less debt burden poor countries suffering from debt overhang will be able devote more resources towards investment thereby promoting their own growth and thus benefit their creditors in the long run. An open question is which mechanism is best to relieve debt burden. In this paper, we adopt experimental methods to study the effectiveness and efficiency of debt forgiveness and debt buyback. We find that creditors tend to reduce more debt under Forgiveness than Buyback. Debtors under Forgiveness are not significantly more reciprocal than under Buyback. After controlling for the amount of debt relief, creditors are significantly worse off under Forgiveness whereas debtors are indifferent between the two schemes. From the viewpoint of promoting debt relief, debt forgiveness appears to be a more effective tool to achieve this goal. Nevertheless, if one is to maximize the overall efficiency, debt buyback is superior to debt forgiveness in making best of each relief dollar.

This paper empirically investigatesthe effects on air fares, passenger volume, andconsumer surplus of four major alliances in NorthAtlantic aviation markets. The four alliances areBritish Airways/USAir, Delta/Sabena/Swissair,KLM/Northwest, and Lufthansa/United Airlines. We findthat equilibrium passenger volume increased by some36,000 passengers annually and equilibrium air faresdecreased by an average of $41 on the routes servedby the allying carriers, and that consumers weregenerally better off due to the alliances.

More resources are spent on maintaining software than for its development. Maintenance costs for large scale software systems can amount to somewhere between 40 and 67% of the total system life cycle cost. It is therefore important to manage maintenance costs, and to balance costs with benefits. Frequently this task is approached, at least in the literature, merely as a software cost estimation problem. Unfortunately, the creation of effort estimation models for maintenance – a primary requisite for cost calculation – has not yet been satisfactorily addressed. At the same time, project managers do not estimate costs first, but instead prioritize maintenance projects, trying to determine which projects to carry out (first) within their fixed budgets and resource capabilities. This essentially means that “cost estimation” is done qualitatively first before formal cost estimation techniques are employed. Recognizing the problems associated with standard, regression based estimation models, and focusing on the needs of software project managers, this research studied the process of project prioritization as an expert problem solving and decision making task, through concurrently taken (“think aloud”) protocols. Analysis of these protocols revealed that experts rarely make use of formal mathematical models to determine project priorities or resource needs, such as COCOMO or FPA, although project size is a key determinant of a project's priority. Instead, estimators qualitatively consider cost or value, urgency, and difficulty of a maintenance task, then prioritize projects accordingly, followed by a decision concerning further treatment of the problem. The process employs case based reasoning and the use of heuristics. While different experts may use different strategies, there exists great overlap in their overall prioritization procedure.

IDEF1X has provided a formal framework for consistent modeling of the data necessary for the integration of various functional areas in computer integrated manufacturing (CIM). The basic idea has been extensively applied in current manufacturing industry. Imprecise and uncertain information, however, is generally involved in many engineering activities. It is especially true for constructing intelligent manufacturing systems. This paper provides extensions to the IDEF1X, which makes it possible to represent fuzzy information.

Knowledge sharing has been the focus of research for more than a decade and it is widely recognized that it can contribute to the success of an organisation. However, in comparison with other countries, relatively little work on this topic has been done in the Chinese context. Knowledge sharing is particularly interesting to study in the Chinese context at the individual level, given the unique social and cultural characteristics of this environment. In this paper, we develop a theoretical model to explain how personal factors would affect people’s intention to share their knowledge. The Theory of Reasoned Action and Social Exchange Theory are used in this paper, as are the time dimension of national culture, face, and guanxi. A survey methodology is used to test the model. Face and guanxi orientation both exert a significant effect on the intention to share knowledge. Theoretical and practical implications, as well as directions for future research, are discussed.

Using extensive intraday transaction and institutional ownership data of Japan, this study investigates the question of whether institutional ownership increases the extent to which equity prices reflect information about the firms’ fundamentals (the degree of price informativeness) and the roles played by various types of institutional investors. The results indicate that the presence of institutional investors, especially foreign institutions, increase the amount of information aggregated in the stock prices. Such relation is robust to various liquidity measures, possible presence of endogeneity in the ownership structure, and alternative measures of price informativeness.

Real estate programs are ranked based upon page counts of articles published in three major real estate journals. The page counts are employed to capture many variations in the length of articles. For each author, his/her most recent affiliation is used to evaluate the school competitiveness of current faculty members rather than a perceived school reputation of the past. In this study, we find that top-tier schools in real estate research are not necessarily the most famous schools in economics and finance; progressive universities specializing in real estate research hold the top ranks. Furthermore, school competitiveness has changed substantially in the United States. The changes are mainly because of a mobility of faculty members. The results also show that U.S. institutions dominate research in real estate.

Many organizations use business policies to govern their business processes, often resulting in huge amounts of policy documents. As new regulations arise such as Sarbanes-Oxley, these business policies must be modified to ensure their correctness and consistency. Given the large amounts of business policies, manually analyzing policy documents to discover process information is very time-consuming and imposes excessive workload. In order to provide a solution to this information overload problem, we propose a novel approach named Policy-based Process Mining (PBPM) to automatically extracting process information from policy documents. Several text mining algorithms are applied to business policy texts in order to discover process-related policies and extract such process components as tasks, data items, and resources. Experiments are conducted to validate the extracted components and the results are found to be very promising. To the best of our knowledge, PBPM is the first approach that applies text mining towards discovering business process components from unstructured policy documents. The initial research results presented in this paper will require more research efforts to make PBPM a practical solution.

This study seeks to the answer the question of how an individual would trade off between listing fee (i.e., cost of listing an auction item) and transaction probability (i.e., the chance that a product will be sold). Applying the trade-off decision-making paradigm into the auction context, we examine a seller’s choice of online auction outlet and subsequent starting price strategies when facing the trade-off between transaction probability and listing fee. Results from a set of laboratory experiments suggest that a seller would be willing to incur a high cost in exchange for a higher transaction prospect. Furthermore, if the expected transaction probability is high, a seller is more likely to set a high starting price despite incurring a high listing fee. The implications for theory and practice are discussed.

Researchers have suggested that both the contract and the process of inter-firm cooperation are important for its success. However, empirical knowledge of the inter-firm cooperation process is very limited. Drawing on extant literature on cooperation and competition and social exchange theory, we propose an action pattern model which describes the cooperating process in a parsimonious and systematic way. Twelve case studies were conducted on architect-contractor cooperation dyads in Hong Kong to explore the cooperation process using the lens of the action pattern model. Results gave rich anecdotal accounts of the three key parameters of the model: action acquiescence as a lubricant to deal with unspecified contractual situations, action simplicity as a signaling device to partners, and action reciprocity as a reward and punishment tactic. The implications of the action pattern model are discussed.

LetE be a finite set, ℱ be a family of subsets ofE and¯C be a capacity vector for all elements ofE. For eachF∈ℱ, define thecapacity ofF as the minimum capacity occurring inF. The problem which we discuss in this paper is how to change the vector¯C as little as possible so that a givenF₀∈8o has the maximum capacity. This model contains inverse maximum capacity spanning tree problem, inverse maximum capacity path problem and etc. as its special cases. We transform the problem into the minimum weight cut set problem and show that this problem can be solved efficiently if an efficient algorithm for finding minimum weight cut set of ℱ is available.

In this paper, we introduce a new class of generalized convex function, namely, α-pseudo-univex function, by combining the concepts of pseudo-univex and α-invex functions. Further, we establish some relationships between vector variational-like inequality problems and vector optimization problems under the assumptions of α-pseudo-univex functions. Results obtained in this paper present a refinement and improvement of previously known results.

Many previous studies on insider trading are based ondata in the U.S. capital market and conclude thatinsiders can earn abnormal profits. This paperexamines abnormal price performance associated withinsider trading in the Hong Kong stock market. We findthat abnormal profits associated with insider tradingare all concentrated on small firms. Trading volumedoes matter in determining the magnitude of thoseabnormal profits. Our results show that insiders ofmedium-sized and large firms do not earn abnormalprofits. Finally, it is found that outsiders who mimicthe information of insider trades associated withmedium-sized and large firms cannot earn abnormalprofits.

This paper investigates the determinants of government size at the provincial level in China. We employ the panel data model as a platform for empirical analysis and control for endogeneity in the study. Our study shows that openness to trade and foreign direct investment (FDI) may curtail government expansion, and that the provincial-level public sector is characterized by economies of scale. This study also documents that Wagner’s law does not hold true for China. Moreover, both expenditure decentralization and revenue decentralization contribute to the expansion of China’s government.

Inner reserves, which allow banks to report a higher or lower earnings at managerial discretion, bring into focus the ability of the market to make an informed judgment of banks' performance. This study examines the market response to the disclosure and elimination of inner reserves by Hong Kong banks resulting from a change in the regulatory reporting system. Test results show that despite a significant increase in the variability of bank earnings in the post-compared to the pre-disclosure period, there is no evidence of a significant increase in banks' systematic risk in the post-disclosure period. Earnings-returns association is significantly stronger in the post- than in the pre-disclosure period, indicating an improvement in the value relevance of reported earnings. Disclosure of inner reserve transfer is found to provide incremental information over reported earnings over a short disclosure window. These results suggest that the increased value relevance of earnings outweighs the costs of inner reserve cancellation, thus supporting greater reporting transparency for Hong Kong banks.

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.

As cooperation in a networked manner increases via various inter-organizational information systems (IOISs), it is important to choose appropriate IOISs for different types of organizations in the network environment. In this study, we analyzed customer-supplier relationships among organizations in five industries using social network analysis (SNA) methods and empirical data, aiming to help organizations strategically choose appropriate IOISs. Three types of customer-supplier networks were identified based on the network centralization comparison rate: customer-centric, supplier-centric and balanced networks. Based on the empirical findings in our analysis, we then propose strategies about how to choose appropriate IOISs for the firms in these networks and discuss the pros and cons of the choices. To the best of our knowledge, this is the first empirical research that applied SNA methods to study customer-supplier networks in the context of inter-organizational information systems.