慈善营销中契合度、熟悉度和产品性质对消费者响应的影响

本文通过实验设计,探讨了慈善营销中产品与慈善组织的契合度、消费者对慈善组织的熟悉度以及产品性质对消费者响应的影响,并得出了结论:契合度、熟悉度和产品性质对消费者响应存在主效应,契合度与熟悉度之间、契合度与产品性质之间存在交互效应。根据研究结论,作者针对企业选择合作伙伴、开展慈善营销提出了相应的启示。     

NATURE OF PROBLEM ILL-STRUCTUREDNESS: IMPLICATIONS FOR PROBLEM FORMULATION AND SOLUTION

The distinction between ill-structured and well-structured decision problems is extended in this paper to include the degree of familiarity that a decision maker has with the initial state of the problem, its desired state, and appropriate transformations for resolving the problem. It is shown that problem ill-structuredness may result from inadequate information regarding any of these components and that the nature of problem ill-structuredness has important implications for problem formulation and solution. A decision tree is presented which represents strategies for either reformulating primary problems of each class of ill-structuredness to a more readily solved form, or solving the problem as initially formulated.     

Modeling and solution of practical management problems through netforms

This paper shows some useful schemes to graphically depict netform models of practical inventory problems. We begin with a simple inventory problem and then progress to more comprehensive representations of an inventory system by network and netform model techniques. Some text books mention that very basic inventory problems may be modeled as networks. But they usually offer very little instruction in the actual development of a network inventory model, and invariably conclude that network models can't accommodate the complications of the vast majority of realworld inventory problems. Further, they completely fail to convey the modeling power available to more general netform (network-related formulation) techniques. As text books catch up to the recent innovations now being applied in practical settings, this deficiency will change. Our purpose is to introduce the fundamental ideas and to provide an understanding of the possibilities inherent in these model innovations. We begin from first principles, so that no prior familiarity with network model representations is necessary to follow the exposition. Because of a heavy reliance on pictorial illustrations (another of the unique advantages of networks and netforms), we have also avoided the use of complex mathematical notation, and develop the key concepts by informal discussion.     

中国企业集团概念的演化：背离与回归

通过回顾中国企业集团的发展过程,了解企业集团概念在中国的变化及影响,分析中国企业集团发展面临的问题与挑战,指出现在应该恢复“企业集团”的原本含义,即明确企业集团作为一种法人联合体而不是法人这样一个根本特征,在此基础上不仅各种相关的分歧可以得到统一,更重要的是由此带来的各种问题可以得到防止或者解决。     

An Empirical Investigation of the Effects of Decision Aids on Problem-Solving Processes*

Despite the growing number of investigations examining decision support systems (DSS), relatively few empirical studies have evaluated the effects of DSS on problem-solving processes. This study uses protocol analysis to investigate the impact of a specific decision aid on problem-solving processes in a semi-structured problem. Results indicate that decision aids influence the problem-solving processes of decision makers. The effect of a decision aid is found to be contingent on familiarity with the decision aid, task familiarity, and the interaction of these two factors. Suggestions for incorporating interaction effects and problem-solving processes into future examinations are proposed.     

E-commerce: the role of familiarity and trust

Familiarity is a precondition for trust, claims Luhmann [28: Luhmann N. Trust and power. Chichester UK: Wiley, 1979. (translation from German)], and trust is a prerequisite of social behavior, especially regarding important decisions. This study examines this intriguing idea in the context of the E-commerce involved in inquiring about and purchasing books on the Internet. Survey data from 217 potential users support and extend this hypothesis. The data show that both familiarity with an Internet vendor and its processes and trust in the vendor influenced the respondents’ intentions to inquire about books, and their intentions to purchase them. Additionally, the data show that while familiarity indeed builds trust, it is primarily people’s disposition to trust that affected their trust in the vendor. Implications for research and practice are discussed.     

Unpacking Team Familiarity: The Effects of Geographic Location and Hierarchical Role

Examination of team productivity finds that team familiarity, i.e., individuals' prior shared work experience, can positively impact the efficiency and quality of team output. Despite the attention given to team familiarity and its contingencies, prior work has focused on whether team members have worked together, not on which team members have worked together, and under what conditions. In this paper, I parse overall team familiarity to consider effects of geographic location and the hierarchical roles of team members. Using data on all software‐development projects completed over 3 years at a large Indian firm in the global outsourced software services industry, I find that team familiarity gained when team members work together in the same location has a significantly more positive effect on team performance compared with team familiarity gained while members were collaborating in different locations. Additionally, I find that hierarchical team familiarity (a manager's experience with front‐line team members) and horizontal team familiarity (front‐line team members' experience gained with one another) have differential effects on project team performance. These findings provide insight into the relationship between team experience and team performance.     

A review on Ecological Engineering based Engineering Management

Engineering achievements have improved the quality of human life, provided creature comforts, and expanded the human domain to unprecedented levels. When enjoying all these achievements, human beings are coming to realize that the more invasion of the nature, the more environmental problems. Under the context of sustainable development, it is certain that effective Engineering Management calls for an ecological concept. The basic claim of this paper is that Engineering Management should be based on Ecological Engineering, which is an essential requirement of effective Engineering Management. At the same time, Ecological Engineering shall serve as the base of Engineering Management, which is commanded by the characteristics of Ecological Engineering. To date, there are only scattered studies focused on Engineering Management using the ecological concept. Moreover, there is no systematic concept of Ecological Engineering based Engineering Management (EMEE). In this paper, a thorough review of EMEE is presented. Our goals are to clarify this concept, promote this promising thought, summarize past research, and identify issues for future research to create impacts on the practice of Engineering Management.     

车间作业计划编制问题的统一描述与应用——介绍车间作业计划编制体系的概念

提出车间作业计划编制体系的概念以统一描述车间作业计划问题,车间计划问题在内容上由计划类型、计划期、期量标准和编制方法四方面组成,在形式上与生产类型、生产组织形式和资源负荷能力相关,内容与形式的统一揭示了车间作业计划编制问题的一般规律,特别地,在一个飞机装配车间结合计划编制体系的概念,迅速确定了装配作业计划问题的界限,并提出用Petri网求解计划问题的新方法,它与各种经验方法相比,便于计算机模拟与实现。     

基于交叉评价策略的DEA全局协调相对效率排序模型

在DEA(数据包络分析)研究领域,建构在交叉效率概念基础上的现有决策单元排序方法仅以定义的方式给出了用于决策单元排序的交叉效率评价值。对于这种方法构建方式,分别基于管理学的效率概念和多属性决策理论,分析指出其中的交叉效率评价值从本质上讲既与效率的管理学概念不符,也与决策单元的优劣不存在理性逻辑联系。为克服现有决策单元排序方法所存在的上述问题,基于交叉评价策略和效率的管理学概念内涵给出了DEA全局协调相对效率的新概念,在此基础上利用优化理论给出了可以用于决策单元优劣排序的DEA全局协调相对效率测度模型,并通过理论分析和数值案例验证解释了该模型相对于现有决策单元排序方法所拥有的比较优势。     

Organizational Resilience: A Valuable Construct for Management Research?

Recently, the concept of resilience has gained new momentum in organization studies. It is held to be a very promising concept to explain how organizations can survive and thrive amidst adversity or turbulence. However, findings from an earlier review about resilience in the organizational and business context show that, although empirical research on the concept has increased, there is still a need for more clarity in terms of its measurement. The aim of this paper is to present a systematic review of the organizational resilience construct that covers both conceptual and operational issues. We discuss why researchers criticize resilience for being fuzzy and move on to identify and analyse existing literature under the lens of construct development and taxonomies. With this study, we aim to point out conceptual problems for future researchers to address conceptual clarity and to develop a clearer, more parsimonious concept. We conclude with a suggestion about future measurement.     

Cross-docking: State of the art

Cross-docking is a logistics strategy in which freight is unloaded from inbound vehicles and (almost) directly loaded into outbound vehicles, with little or no storage in between. This paper presents an overview of the cross-docking concept. Guidelines for the successful use and implementation of cross-docking are discussed and several characteristics are described that can be used to distinguish between different cross-dock types. In addition, this paper presents an extensive review of the existing literature about cross-docking. The discussed papers are classified based on the problem type that is tackled (ranging from more strategic or tactical to more operational problems). Based on this review, several opportunities to improve and extend the current research are indicated.     

Social Influence,Risk and Benefit Perceptions,and the Acceptability of Risky Energy Technologies: An Explanatory Model of Nuclear Power Versus Shale Gas

Risky energy technologies are often controversial and debates around them are polarized; in such debates public acceptability is key. Research on public acceptability has emphasized the importance of intrapersonal factors but has largely neglected the influence of interpersonal factors. In an online survey (N = 948) with a representative sample of the United Kingdom, we therefore integrate interpersonal factors (i.e., social influence as measured by social networks) with two risky energy technologies that differ in familiarity (nuclear power vs. shale gas) to examine how these factors explain risk and benefit perceptions and public acceptability. Findings show that benefit perceptions are key in explaining acceptability judgments. However, risk perceptions are more important when people are less familiar with the energy technology. Social network factors affect perceived risks and benefits associated with risky energy technology, hereby indirectly helping to form one's acceptability judgment toward the technology. This effect seems to be present regardless of the perceived familiarity with the energy technology. By integrating interpersonal with intrapersonal factors in an explanatory model, we show how the current “risk–benefit acceptability” model used in risk research can be further developed to advance the current understanding of acceptability formation.     

A multi-objective particle swarm for a flow shop scheduling problem

Flow shop problems as a typical manufacturing challenge have gained wide attention in academic fields. In this paper, we consider a bi-criteria permutation flow shop scheduling problem, where weighted mean completion time and weighted mean tardiness are to be minimized simultaneously. Since a flow shop scheduling problem has been proved to be NP-hard in strong sense, an effective multi-objective particle swarm (MOPS), exploiting a new concept of the Ideal Point and a new approach to specify the superior particle's position vector in the swarm, is designed and used for finding locally Pareto-optimal frontier of the problem. To prove the efficiency of the proposed algorithm, various test problems are solved and the reliability of the proposed algorithm, based on some comparison metrics, is compared with a distinguished multi-objective genetic algorithm, i.e. SPEA-II. The computational results show that the proposed MOPS performs better than the genetic algorithm, especially for the large-sized problems.     

Social system needs assessment

Needs assessment is an integral part of most comprehensive planning procedures. The needs assessment strategy presented in this article is appropriate for use when the problems and needs of social systems are to be considered. It is based on the logic of systems theory and especially on the concept of open systems and system networks.     

Novel quadratic programming approach for time series clustering with biomedical application

Fundamental problems in data mining mainly involve discrete decisions based on numerical analyses of data (e.g., class assignment, feature selection, data categorization, identifying outlier samples). These decision-making problems in data mining are combinatorial in nature and can naturally be formulated as discrete optimization problems. One of the most widely studied problems in data mining is clustering. In this paper, we propose a new optimization model for hierarchical clustering based on quadratic programming and later show that this model is compact and scalable. Application of this clustering technique in epilepsy, the second most common brain disorder, is a case point in this study. In our empirical study, we will apply the proposed clustering technique to treatment problems in epilepsy through the brain dynamics analysis of electroencephalogram (EEG) recordings. This study is a proof of concept of our hypothesis that epileptic brains tend to be more synchronized (clustered) during the period before a seizure than a normal period. The results of this study suggest that data mining research might be able to revolutionize current diagnosis and treatment of epilepsy as well as give a greater understanding of brain functions (and other complex systems) from a system perspective. This work was partially supported by the NSF grant CCF 0546574 and Rutgers Research Council grant-202018.     

Trojan Horses or Local Allies: Host-country National Managers in Developing Market Subsidiaries

We investigate a multinational corporation's (MNC) decision to appoint host-country national (HCN) managers to foreign subsidiaries based on the institutional context of and familiarity with the host country. HCN managers are commonly associated with specialized knowledge, superior responsiveness, and higher legitimacy. Yet, we argue that local familiarity of HCNs can also be perceived as risky or harmful by MNC parents. We analyze how formal and informal institutions affect the trade-off between positive effects and potential costs associated with HCN managers (“Local allies” vs. “Trojan horses”). We find that legal institutions protect foreign MNCs from potential costs, encourage the use of HCNs and reinforce their benefits. Corruption and corruption distance, however, increase perceived costs associated with HCN managers up to a point at which they outweigh their perceived benefits.     

Egoist's dilemma: a DEA game

This paper deals with problems of consensus-making among individuals or organizations with multiple criteria for evaluating their performance when the players are supposed to be egoistic; in the sense that each player sticks to his superiority regarding the criteria. We analyze this situation within the framework or concept developed in data envelopment analysis (DEA). This leads to a dilemma called the `egoist's dilemma'. We examine this dilemma using cooperative game theory and propose a solution. The scheme developed in this paper can also be applied to attaining fair cost allocations as well as benefit–cost distributions.