Vehicle routing optimization with soft time windows in a fuzzy random environment

This paper is concerned with a vehicle routing problem with soft time windows (VRPSTW) in a fuzzy random environment. Two objectives are considered: (1) minimize the total travel cost and (2) maximize the average satisfaction level of all customers. After setting up the model for the VRPSTW in a fuzzy random environment, the fuzzy random expected value concept is used to deal with the constraints and its equivalent crisp model is derived. The global–local–neighbor particle swarm optimization with exchangeable particles (GLNPSO-ep) is employed to solve the equivalent crisp model. A case study is also presented to illustrate the effectiveness of the proposed approach.     

To agree or not to agree? A meta-analytical review of strategic consensus and organizational performance

The premise underlying most of the research on strategic consensus is that a higher degree of consensus has a positive impact on organizational performance. Empirical studies, however, have produced inconsistent results for the strength and direction of this relationship, as well as for the role of potential moderators. With this meta-analysis, we provide empirical support for a positive effect of strategic consensus on organizational performance, and offer evidence for the existence of several moderators of the aforementioned relationship, which we then discuss as fruitful avenues for future research. This study enhances our understanding of this important strategy process construct and benefits managerial practice by discussing means for improving the realization and implementation of strategies.     

Accounting, regulation and profitability: The case of PFI hospital refinancing

The refinancing of PFI (Private Finance Initiative) projects represents one of the most contentious aspects of Public Private Partnerships (PPPs) in the UK. The negative publicity associated with UK PFI refinancing deals is associated with several factors, including, evidence of massive private sector profit making, the failure of private sector financiers to share refinancing profits and, lastly, private sector frustration of adequate regulatory intervention in this area. Utilising a dynamic model of capital market and state interaction, this paper explains these outcomes as a function of effective private sector lobbying of bureaucratic state agencies to alter the structure of accounting, accountability and regulation with the goal of securing favourable profit and risk outcomes. These dynamics are illustrated with reference to the history of UK PFI refinancing and a case study of one of the projects where these gains reached extreme levels.     

Corporate governance and Asian companies

While prominent differences in corporate governance exist across the Asia Pacific region, there are common concerns about controlling shareholders expropriating wealth from minority shareholders at the expense of overall wealth creation, as well as about the roles and qualifications of managers in Asian companies. The contributors to this Special Issue of the Asia Pacific Journal of Management address these concerns and provide new evidence on their empirical relevance, as well as the factors conditioning that relevance. They also provide cautionary insight into the merits of specific proposals to reform Asian corporate governance. An important theme emerging from this Special Issue is that one needs to understand the institutional framework in which organizations operate in order to understand the rationale for and consequences of specific corporate governance models, as well as the likelihood that specific governance reforms will be adopted and prove effective. In this context, informal institutions are often more important than formal institutions. In addition to advancing our understanding and appreciation of the linkages between formal and informal institutions, corporate behavior, and performance, as well as the prospects for corporate governance reform, the papers in this Special Issue also suggest challenging and potentially fruitful areas for future research.     

Social protection 2.0: Exploring issues, evidence and debates in a globalizing world

This paper reviews the growing literature on social protection. While not new, the concept evolved remarkably in recent years. It is approached from a multitude of perspectives, and intersects with broader bodies of literature – particularly around public policy, pro-poor growth, rights, humanitarian strategies, and aid effectiveness – as well as feeding into specific programmatic issues (e.g. conditionality, targeting and transfer selection). This blend of challenges and approaches has often made debates elusive and polarized. The paper examines the evolution and definitions of social protection, and unbundles critical policy, institutional and implementation quandaries. Taken together, these considerations shape a set of context-specific models of social protection. The paper’s five core conclusions may help chart future directions for social protection research and practice.     

基于BP神经网络的CCI预测模型

将BP神经网络模型应用到消费者信心指数预测中,并建立了消费者信心指数的神经网络预测模型。将计算结果与真实值进行了验证,结果表明:CCI的计算值与真实值之间的相对误差为2.6%,且具有较好的相关性。     

Determinants of fruit and vegetable consumption in Malaysia: an ordinal system approach*

We examine the socio‐demographic determinants of fruit and vegetable consumption using household survey data from Malaysia. A bivariate ordered probability model is developed by the copula approach. Results for a system of fruit and vegetable servings per week indicate that education, age, ethnicity, income, location of residence, smoking status and health conditions are significant predictors of fruit and vegetable consumption in Malaysia. Policy implications are suggested.     

Market segmentation with choice-based conjoint analysis

Choice-based conjoint analysis has increased in popularity in recent years among marketing practitioners. The typical practice is to estimate choice-based conjoint models at the aggregate level, given insufficient data for individual-level estimation of part-worths. We discuss a method for market segmentation with choice-based conjoint models. This method determines the number of market segments, the size of each market segment, and the values of segment-level conjoint part-worths using commonly collected conjoint choice data. A major advantage of the proposed method is that current (incomplete) data collection approaches for choice-based conjoint analysis can still be used for market segmentation without having to collect additional data. We illustrate the proposed method using commercial conjoint choice data gathered in a new concept test for a major consumer packaged goods company. We also compare the proposed method with ana priori segmentation approach based on individual choice frequencies.     

Job Satisfaction and Quitting Intentions: A Structural Model of British General Practitioners

A structural model of job satisfaction and quitting intentions is estimated using data from a survey of general practitioners in the UK. Previous research has used reduced form models, making the interpretation of coefficients problematic. The use of a structural recursive model helps to clarify the relationships between intentions to quit, overall job satisfaction, domains of job satisfaction and personal and job characteristics. Job and personal characteristics have a direct effect on job satisfaction in addition to their indirect impact through job satisfaction domains. Job satisfaction domains have a direct effect on intentions to quit, in addition to their effect via overall job satisfaction. The structural approach provides a richer interpretation of the role and effect of job characteristics on job satisfaction and intentions to quit than is found in previous research. This is particularly relevant in some public sector labour markets, where the opportunity to alter wages to compensate for the relative advantages and disadvantages of jobs is limited because of national wage bargaining.     

关于VLL影像匹配的实验

VLL(Vertical Line Locus)法是一种常用的基于物方的影像匹配方法,本文以灰度数码航空影像为影像匹配的数据源,采用VLL算法进行影像匹配的实验,对VLL影像匹配算法的计算速度、算法的优势、缺陷及改进方案、匹配结果的精度等方面进行讨论。