基于TAM-VCE模型的客户网上参与产品开发意愿

本研究根据客户网上参与产品开发的特点,基于Davis的TAM模型,增加了沟通、工作相关性、结果可见性、有趣性感知四个外部变量,构建了TAM-VCE模型,用于研究客户网上参与产品开发意愿的影响因素.采用问卷调查方法对该模型进行检验,结果表明有用性感知、易用性感知和有趣性感知是客户对VCE使用态度的三个决定因素.其中易用性感知、沟通、工作相关性和结果可见性对有用性感知有直接影响,并为正相关关系.此研究结果有助于企业设计出客户更易于接受的网上参与平台,提高产品开发成功率.     

考虑战略顾客行为时的供应链性能分析与协调

动态定价策略的广泛应用使得越来越多的顾客具有了战略性,战略顾客会根据产品在销售期内的价格路径确定最优购买时机,零售商则根据顾客的购买行为确定订货数量和销售价格.研究了双方静态博弈时的理性预期均衡解和零售商进行数量承诺时的情形.研究表明:理性预期均衡时的最优销售价格、最优存货数量和最优期望利润分别小于标准报童模型的情形;数量承诺时的最优存货数量小于理性预期均衡时的最优存货数量;最优期望利润则大于理性预期均衡时的最优期望利润,并且在一定条件下可能会大于标准报童模型的最优期望利润,战略顾客行为的存在对零售商可能有利.最后分析了在分散式供应链中如何利用收入分享契约和数量折扣契约实现供应链协调.     

客户档案知识的挖掘方法研究

本文分析客户档案的内容、挖掘方式、挖掘的作用,提出客户档案动态集成的处理方案,应用实践表明这些思想和方法是行之有效的.     

Heuristic methods for the analysis of managerial problems

Problem analysis is a critical element of managerial problem solving that has not been included in or explicated by traditional stage models of the process. This paper argues that an analysis stage is needed to develop the implications of a problem's definition and to direct the selection and pursuit of solution strategies. Problem analysis is a beuristic activity. The paper explains and applies seven heuristic methods of analysis to a classic management case, generating a richer understanding and broader set of solution alternatives. Strategies for future research on problem analysis are discussed.     

Nature and role of customer satisfaction in the solution business

The paper focuses on the solution business. Here we argue that the strategy can only lead a company to perform better if it encompasses a direct and positive effect on satisfaction with a supplier’s consulting capabilities. Hence we introduce the concept of consulting satisfaction, identify antecedents and analyze its consequences. To do so, we apply a mixed-methods approach. Content analysis from open interviews with company professionals yields a list of antecedents of consulting satisfaction used to devise a set of hypotheses. The latter was translated into a questionnaire based measurement instrument in order to first collect and then analyze data from a larger sample survey. Since three of the antecedents could not be supported by our study, possible explanations are presented. With our approach we tap new dimensions of solutions research. First, we inaugurate research on buying behavior within the field of solutions. Second, we stress the role of capabilities in this field and extend service–profit chain thinking. And third, we present consulting satisfaction as a lever to translate the S-D logic of marketing into more practical applications. To our knowledge this is a novel insight and can help industry decision makers better prepare for the solution business.     

零售业回报计划感知价值对客户忠诚的影响

以零售业为背景,将回报计划感知价值作为态度忠诚(信任和承诺)和行为忠诚(重复购买意图、正面口碑意图及合作意图)的主要影响因素,建立了概念模型并用结构方程模型方法检验,结果表明:回报计划感知价值与态度忠诚呈显著的正相关关系;回报计划感知价值与行为忠诚中的重复购买意图呈显著的正相关关系,而与合作意图及口碑意图并无直接关系.     

The acceptance and accuracy of decision analysis methods

This paper reports a field experiment which compared two approaches to decision analysis, called cases and criteria scaling, in terms of their acceptance to users and their predictive features. The case method simulates decisions likely to occur in practice. Each decision is described by particular values of the decision criteria. Experts consider the values of criteria present in each decision and make a judgment. Regression is used to correlate the criteria values with the judgments. The regression equation provides the prediction model. The criteria scaling method decomposes the decision task. Experts weight each criterion and specify how decisions change across levels of each criterion. The predictive model is made up of the sum of each criterion weight multiplied by the criterion-predictor functional relationship. Both methods were applied to build models which predicted the demands for nursing time, using patient severity indicators, for two hospital units. The case method had considerable predictive accuracy and had favorable participant reactions. Predictions made by criteria scaling overestimated needs and this method was viewed as inaccurate and hard to understand by participants. The implications of these findings are discussed.     

On the use of multivariate regression methods for longest path calculations from earned value management observations

This paper explores the use of multivariate regression methods for project schedule control within a statistical project control framework. These multivariate regression methods monitor the activity level performance of an ongoing project from the earned value management/earned schedule (EVM/ES) observations that are made at a high level of the work breakdown structure (WBS). These estimates can be used to calculate the longest path in the project and to produce warning signals for project schedule control. The effort that is spent by the project manager is thereby reduced, since a drill-down of the WBS is no longer required for every review period. An extensive computational experiment was set up to test and compare four distinct multivariate regression methods on a database of project networks. The kernel principal component regression method, when used with a radial base function kernel, was found to outperform the other presented regression methods.     

Energy analysis: A review of methods and applications

The paper describes the aims and applications of energy analysis, emphasising its role as a complement to conventional financial analysis. It is shown to provide useful insights in applications such as forecasting price rises due to a fuel price rise, calculating the net costs of fuel obtained from unconventional sources, forecasting energy demand and evaluating energy conservation schemes. Although the field is still young, and most activity is in compiling reliable data bases, its systems approach and methods promise to make it a useful tool for evaluating patterns of resource uses.     

The use of economic appraisal in transportation analysis

This paper surveys the use of economic appraisal techniques in the field of transportation. After surveying the history of such approaches, a critical assessment is offered of the most recent contributions to the debate, centering on the 1977 Leitch Report. The limited room for manoeuvre in making local assessments is highlighted: national policy considerations are seen as frequently dominating the local choice. While most of the debate on the ‘inadequacies’ of cost-benefit have focussed on ‘intangible’ items, the author argues for a much closer look at the ‘hard’ data on the value of time-savings and accident costs. Some of the Leitch committee's proposals are found wanting in this respect. In the wider context, a plea is made for the use of common criteria for assessing projects throughout the entire transport sector. Only in this way can misallocation of resources be minimised.     

RFM customer analysis for product-oriented services and service business development: an interventionist case study of two machinery manufacturers

Journal of Management and Governance - This study examines how original equipment manufacturers (OEMs) can segment their product-oriented services customers with the help of a recency, frequency,...     

A potential use of data envelopment analysis for the inverse classification problem

We propose a methodology that uses data envelopment analysis (DEA) for solving the inverse classification problem. An inverse classification problem involves finding out how predictor attributes of a case can be changed so that the case can be classified into a different and more desirable class. For a binary classification problem and non-negative decision-making attributes, we show that under the assumption of conditional monotonicity, and convexity of classes, DEA can be used for inverse classification problem. We illustrate the application of our proposed methodology on a hypothetical and a real-life bankruptcy prediction data.     

异质成本分配模型的公理体系及分配方法

在建立成本分配问题数学模型的基础上,提出了异质成本分配模型的公理体系,将异质 成本分配规则应满足的公理性质分为基本公理性质、一般公理性质和特殊公理性质三类;通过 案例研究,深入分析了产出规模不变性、需求单调性、比例性和上限性等公理性质的强制性,并 对EANS 方法、Aumann2Shapley 值法、Friedman2Moulin 序列方法和Shapley2Shubik 方法等典型的 异质成本分配方法对公理性质的满足情况进行了全面讨论,通过严格的数学证明,得出了有价 值的结论.     

Propensity to adopt technological innovations: the impact of personal characteristics and organizational context

This study investigated how personal characteristics and organizational context are associated with strategic decision makers' intentions to adopt technological innovations. Positive significant relationships were found between hospital top managers' intentions to adopt potential innovations and risk propensity, self-efficacy, perceived organizational strategy, perceived information processing capacity, and perceived resource availability. The impact of personal and organizational factors on intentions to adopt, implications of our results, and future research directions are discussed.     

The quality and use of regulatory analysis in 2008

This article assesses the quality and apparent use of regulatory analysis for economically significant regulations proposed by federal agencies in 2008. A nine-member research team used a six-point (0-5) scale to evaluate regulatory analyses according to criteria drawn from Executive Order 12866 and Office of Management and Budget Circular A-4. Principal findings include: (1) the average quality of regulatory analysis, though not high, is somewhat better than previous regulatory scorecards have shown; (2) quality varies widely; (3) biggest strengths are accessibility and clarity; (4) biggest weaknesses are analysis of the systemic problem and retrospective analysis; (5) budget or "transfer" regulations usually receive low-quality analysis; (6) a minority of the regulations contain evidence that the agency used the analysis in significant decisions; (7) quality of analysis is positively correlated with the apparent use of the analysis in regulatory decisions; and (8) greater diffusion of best practices could significantly improve the overall quality of regulatory analysis.     

A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature

Journal of Management and Governance - Studies on the adoption of innovations in organizations are abundant and have introduced many different factors that are likely to influence adoption...     

On the adoption of technological innovations in industry: Superficial models and complex decision processes

Attention is directed first to the external as well as the internal contexts within which prospective innovations are evaluated. Turning to the actual decision-making processes, a review of the evaluational bases for decision is followed by consideration of how these lead to actual decisions and often to subsequent revisions of the original decisions. The final section is concerned with some common shortcomings of prevailing approaches to evaluating the post-installation effects of technological innovations in industry. It also offers some suggestions for improving such efforts and for using such improvements to enhance the effective appraisal of future innovations.     

Managing provider networks through expert systems: use of patterns of treatment to address overutilization

Among the most important contributors to rising health care costs is excess utilization of services. Sophisticated clinical criteria, encoded as an expert system in software, allow identification of probable excess utilization in large claims data sets. These systems can be used to adjudicate claims, resulting in direct cost savings, or to profile physicians and other providers, facilitating creation and maintenance of networks. These systems are used by traditional payers to promote quality, control costs, and enhance competitiveness and are beginning to be used by nontraditional payers, such as physician groups and hospital-based networks.     

Implications of selected production planning functions: Impact analysis through simulation

When capacity differences are minimized through an efficient algorithm, and integration of capacity planning with any production planning system is performed, it affects some elements of production planning functions. In the reverse way, some elements of production planning and management techniques also affect the effectiveness of capacity planning. These happen because capacity planning processes, production planning processes and production management techniques are not standalone sub-systems, rather these are totally dependent on each other. This paper aims at determining and formulating the effects of some of the selected elements of capacity and production planning functions on each other. This study is conducted using simulation in object-oriented SIMPLE+ + system.     

Examining the role of cross-cultural factors in the international market on customer engagement and purchase intention

Customer engagement (CE) refers to an organization's effort to develop relationships with individual customers through personalized interactions using multiple available channels. The goal of such CE is to gain new customer and to retain loyal customers. In the last decade there have been many studies on CE, particularly in the domestic or local market context, which lack generalizability. Also, there is only limited research on CE in the international market context focusing on the cross-cultural aspects of customers. Thus, there is clearly a research gap. Therefore, the aim of this study is to examine the role of cross-cultural factors in the international market on CE and their influence on customer purchase intention. After reviewing existing theories and literature, a conceptual model was developed. Later, the model was validated using structural equation modeling with a sample of 432 customers of different countries in Asia and Europe. The study found that there is a significant impact of cross-cultural factors in the international market on customer engagement, which in turn impacts customers' purchase intention in the international market. This study also proposes and examines a rival model to determine the efficiency of the proposed model.