Outsourcing: decision-making methods and criteria during design and engineering

Research to date for decision-making on outsourcing has almost exclusively focussed on strategic and operational levels. Consequently, we know relatively little about decision-making on outsourcing during design and engineering, i.e. the tactical level; that also means that the characteristics of design and engineering – incomplete and inaccurate information and progressive availability of data – are not incorporated in existing frameworks and methods at that level. To fill this gap, a first-of-its-kind framework, based on an extensive appraisal of the literature, is validated; to that purpose, a Delphi survey was undertaken gauging the opinions of two homogeneous groups of academic and industry experts. The analysis of the survey affirms the assumptions made about the role of the progressive availability of data during decision-making on outsourcing. The results from this study should not only inform further research into decision-making during design and engineering but potentially the framework might also have validity for purchasing at the tactical level and strategic decision-making on outsourcing.     

A Simulation of Partial Information Use in Decision Making: Implications for DSS Design

Information matrices are often the output produced by a decision support system. These matrices are a common method for expressing a decision situation under different decision-making scenarios. The decisions involved in designing a decision support system to generate the information matrix are important and involve several cost and benefit components. A designer needs guidance in making effective design decisions in this context. Such guidance can be provided by considering the relationships among specific design decisions, costs, and benefits. The general objective of this study is to provide a comprehensive framework for this purpose. This study is the first to develop and present a comprehensive cost-benefit framework for evaluating design decisions for a variety of scenarios. The specific objective of this research is to provide guidance regarding the number of available information dimensions to incorporate in a computer-based decision aid. Simulation experiments are conducted with a completely specified model based on the cost-benefit framework (including needed assumptions) to evaluate how many information dimensions to include for a specific information matrix size to achieve a balance between information use costs and decision quality. Based upon extensive simulation analyses for a hypothetical decision maker, the practical guideline found for designers is to include only the top half of the relevant information dimensions in any specific decision support system. Over a large number of repeating choice decisions, the savings in cognitive effort and information gathering costs clearly offset relatively minor losses in decision quality.     

A Transaction‐Efficiency Analysis of an Internet Retailing Supply Chain in the Music CD Industry*

The emergence of the Internet may have fundamentally altered the mechanisms underlying information exchanges between sellers and end consumers. However, little attention has been given to the impact these mechanisms have on the efficiency of supply chain operations. This paper begins to address this deficiency in the literature by evaluating supply chain transaction efficiency effects from Internet purchases by consumers. It develops and empirically tests a theoretical framework examining the role Internet purchases have in establishing transaction‐efficiency levels in product exchanges involving sellers, placed at different supply chain echelons, and consumers. The theoretical framework integrates the transaction‐cost and internet economics, inter‐organizational information systems, and supply chain management literatures. Empirical testing, via structural equation modeling, is based on archival data in the Internet music CD market. The results show that Internet‐mediated purchases by consumers allow for greater transaction efficiencies when inventory ownership is postponed farther upstream in the supply chain and supply chain echelons are disintermediated. The results also indicate that channel structure configuration, defined by the supply chains' Internet retailing echelon, moderates these transaction efficiency effects.     

基于犹豫模糊语言信息的前景决策方法

本文首先回顾了模糊信息下前景理论研究的现状,发现犹豫模糊语言这一决策中常见的信息表达形式在前景理论框架中的研究被忽略,同时犹豫模糊环境下的前景决策方法具有一定的应用背景;基于此,本文考虑到决策者在实际决策过程中惯用的信息表达以及面对收益和损失时不同的风险态度,试图在犹豫模糊语言环境下构造新的前景理论决策框架,建立基于犹豫模糊语言信息的前景决策方法,并给出具体的决策步骤;最后通过算例分析展示了该方法的实际应用过程,并与犹豫模糊语言环境下的期望效用决策结果进行对比,说明了该方法更符合实际决策情景。     

An experimental study of the value of information

The value that is placed on information by managers, who are the users of information systems, is an important construct in all aspects of systems design, development and evaluation. This study uses a multidimensional attribute approach to assess the value of information and reports on tests of hypotheses related to differences that have been assumed to exist among managers in various functional areas and at various hierarchical levels in a business firm. The results generally fail to confirm the existence of such differences.     

DDP—Managerial opportunities and consequences

Applications of DDP are examined via two case studies to determine how the technology was used by management to aid decision-making; the level of management involvement in the MIS (Management Information Systems) design process and the nature of the relationship between managers and data processing departments were also considered. The study showed that because the technology was largely under end user control, better tailored information systems resulted and system output was more directly used by middle and top managers. This only occurred, however, if certain moderators, such as computing and modelling skills, were present in functional departments. DDP also offers opportunities for better relationships with data processing departments but the consequences include the need for better management training and functional support groups for systems implementation. A conceptual model is presented as a theoretical framework to guide organisations when using DDP.     

Fitting Management Control Systems to Competitive Advantage

Recent publications suggest that existing management accounting and control systems prevent business unit managers realising their desired competitive advantage. Although the concept of competitive advantage has already been thoroughly discussed in strategy literature, it has not yet been integrated in the management accounting and management control frameworks. Only a limited number of researchers have concentrated on contingency research in this area. Contingency theory simply states that organization structure, process and management control systems are contingent upon various internal and external factors, such as industry, technology, size, culture and strategy (Anthony and Young, 1988; Anthony et al., 1992). This article is an attempt to identify and investigate the management control – strategy relationship. We report the results of our exploratory field research in 18 companies (32 business units). Based on our results, we formulate some hypotheses on the observed characteristics of the management control process in case of low-cost strategy, differentiation strategy in a standard product environment and differentiation strategy for customized products (make to order, engineer to order).     

Data Mining for Network Intrusion Detection: A Comparison of Alternative Methods*

Intrusion detection systems help network administrators prepare for and deal with network security attacks. These systems collect information from a variety of systems and network sources, and analyze them for signs of intrusion and misuse. A variety of techniques have been employed for analysis ranging from traditional statistical methods to new data mining approaches. In this study the performance of three data mining methods in detecting network intrusion is examined. An experimental design (3times2x2) is created to evaluate the impact of three data mining methods, two data representation formats, and two data proportion schemes on the classification accuracy of intrusion detection systems. The results indicate that data mining methods and data proportion have a significant impact on classification accuracy. Within data mining methods, rough sets provide better accuracy, followed by neural networks and inductive learning. Balanced data proportion performs better than unbalanced data proportion. There are no major differences in performance between binary and integer data representation.     

Computerization of a medium-sized hospital without an internal DP department

The conventional approach to computerization in a large hospital is to establish an internal data processing (DP) department and DP professionals then begin to develop computer-based information systems (CBIS). For medium-sized hospitals, however, this approach is doubtful. The limitation of financial resources and the lack of skilled systems professionals force the medium-sized hospital to consider different approaches. In this paper, we present a conceptual framework for the computerization of a medium-sized hospital based upon the viewpoint of top management. Based on the conceptual framework presented, a PC-based application software package has been developed, tested, and implemented at Cheng-Ching Hospital in Taiwan. Our study shows that a medium-sized hospital can initiate and conduct computerization in very short time with low cost and without an internal DP department.     

The Design of a Knowledge-Based Decision Support System to Support the Information Analyst in Determining Requirements

Decision support system (DSS) researchers and designers continue to look for unstructured organizational tasks where there is a critical need for intelligent computer-based support. One such decision task is information requirements determination. Requirements determination is recognized as the most crucial phase of the systems development life cycle. Unfortunately, most methodologies and CASE tools focus only on how to specify the requirements once they are determined. There is very little computer support for the process of determining requirements. This paper discusses the conceptual design and development of a knowledge-based DSS to support information analysts in the critical decision task of determining requirements for the design of effective information systems. The expert modeling support system has the expertise to assist the analyst in studying the organization as a whole and in modeling the system under study in the context of the overall organization's goals and needs. The focus of the paper is on the problems associated with building the knowledge base component of the intelligent decision support system. A prototype implementation of the system is described.     

Medical informatics. The future is here

Informatics is an indispensable discipline for leaders and managers--of patients, facilities, and organizations--because the most important assets of those organizations are their information processing technologies, and the key skills are those that help them to manage information. Managers and executives will increasingly need to anticipate trends in information management technologies that could affect their business. In health care, computer-based patient records, integration engines, online analytical processing systems, telemedicine, expert systems, and the Internet have become vital to having the competitive advantage. Those who do not understand the promise and limitations of these technologies and the need for strong leadership to establish standards for data and transaction systems will not lead their organizations well.     

信息技术资源和信息技术能力的互补性及其绩效影响

信息技术资源和信息技术能力之间的关系是明确信息技术价值实现机理的基础。本文基于资源基础理论、竞争战略理论和核心能力理论,构建了信息技术资源、信息技术能力、信息系统支持企业竞争战略、信息系统支持企业核心能力和企业绩效之间关系的理论模型,研究信息技术资源和信息技术能力在信息技术价值实现过程中的互补性以及其对企业绩效的影响机理。利用层次回归分析方法对296份中国企业的实际调查数据进行了数据分析和模型拟合。研究结果表明信息技术资源和信息技术能力在信息技术价值实现过程中具有互补性,而且两者之间的互补性通过信息系统支持企业竞争战略和信息系统支持企业核心能力等中介变量间接影响企业绩效。     

新创企业高管团队的团队过程与战略决策绩效 ——认知的调节作用

新创企业的成败很大程度上取决于战略决策绩效,具有决策权力的高管团队在创业情境下的认知和行为过程对战略决策绩效具有重要影响。本文结合创业研究和高管团队研究的现有成果,以122家新创企业为研究对象,从内部团队过程和外部团队过程两个维度考察高管团队的团队过程对战略决策绩效的影响,并从认知的视角分析新创企业高管团队认知需要和认知能力对团队过程与决策绩效关系的调节作用。研究结果表明,新创企业高管团队的内部团队过程和外部团队过程与决策的质量和满意度均有显著的正相关关系,且认知需要和认知能力对这种关系具有调节作用,在认知需要和认知能力较高的情况下,内、外部团队过程对决策质量和满意度的正向影响更强。     

数智赋能:信息系统研究的新跃迁

在大数据和人工智能技术飞速进步及其与社会经济活动的融合持续深化的同时,数据治理,高阶智能以及数智赋能正在成为数字经济发展的关注焦点,进而引发信息系统研究的新跃迁。本文首先刻画了我国信息系统研究的阶段演化框架,讨论研究的“造”与“用”视角、主题跃迁、价值创造特点、方法论范式等。接着,通过凝练对于大数据的认识,揭示管理决策要素转变,探讨了现阶段信息系统研究的若干前沿方向,包括“大数据驱动”研究方法论范式、智能方法创新、人机融合行为等方面的研究进展,并概述了相应的建模思路和求解路径。最后,从数据、算法、赋能的层面,阐释数智化新跃迁的新特征、新挑战、新课题,以期为我国信息系统学界提供前沿探索和研究创新的启发。     

风险环境下企业信息系统项目控制对绩效的影响机制研究:基于项目经理和用户代表的双重视角

虽然当前项目管理水平不断提高,但是企业信息系统项目实施的成功率仍然不容乐观。项目干系人缺乏准确的相互认知和角色定位,以及风险与控制的关系无法有效处理是导致项目绩效偏低的重要原因。为了从不同视角探索风险和控制对企业信息系统项目绩效的共同作用,通过对65位项目经理和63位用户代表所经历的128个项目的调查,利用结构方程模型进行实证分析,并采用层次回归分析技术进行检验。实证结果表明,正式控制和非正式控制对信息系统项目绩效都具有积极的影响,但是项目经理认为正式控制具有更加重要的作用,而用户代表认为非正式控制的作用更为显著。此外,项目经理和用户代表均认为组织风险和技术风险会减弱正式和非正式控制对绩效的有效作用。因此在控制方式的选择和组合上不仅要基于项目自身的特点,而且要基于干系人的角色。同时,信息系统项目绩效并非单纯由成功或失败因素所决定,而是取决于两类因素的均衡程度。研究结论为信息系统项目的风险控制提供了全新的理论依据和决策支持。     

PRODUCT AND SERVICE QUALITY: THE ANTECEDENTS OF CUSTOMER LOYALTY IN THE AUTOMOTIVE INDUSTRY

Prior literature has examined product quality and service quality separately as antecedents of customer loyalty. In the context of the automotive industry, we present a framework that examines the simultaneous impact of product and service quality on consumers' purchase intentions. The framework is operationalized as several hypotheses that posit relationships between service quality, service satisfaction, product quality, and customer loyalty. The hypotheses are tested using three sources of data: (i) archival data on product quality and customer purchases, (ii) consumersíresponses to a survey instrument, and (iii) Consumer Reports. Results indicate general support for main hypotheses proposed.     

THE DOLLARS AND SENSE OF SIMULATION

This paper deals with the economics of computer simulation applied to problems in the operations management/industrial engineering area. First, the material in the literature dealing with the economics of simulation is summarized. However, the amount of information available on the economics of simulation is very small. A number of hypotheses are presented for this paucity of material. Since many managers operate in an environment in which costs and benefits are relevant to their decision-making process, the lack of data on the economics of simulation may be a barrier to the utilization of the technique. In an attempt to improve this situation, a framework for the collection and specification of the economics of simulation modeling projects is proposed as a method of urging management scientists to begin to collect and publish data on the economics of simulation projects.     

电子商务市场特征对产品创新影响的实证研究

根据电子商务价值理论,电子商务企业进行产品创新能有效提升或创造客户价值,但电子商务市场环境因素可能会影响电子商务企业的产品创新,而已有关于产品创新的研究大多聚焦于传统市场。依据电子商务客户价值、从众行为、多重创新、组织学习和信息过载等理论,以电子商务市场的两个主要特征市场信息和竞争强度为前导变量,构建它们对于电子商务企业产品创新倾向和电子商务企业绩效的影响模型,并提出变量间关系假设。通过收集中国最大B2C平台天猫商城内309家电子商务企业的数据,应用多元回归分析方法实证检验电子商务市场特征对产品创新的影响。研究结果表明,电子商务企业产品创新正向影响企业绩效;市场信息促进电子商务企业产品创新,但其效用受竞争强度的反向调节;竞争强度显著加强电子商务企业的产品创新倾向且不会影响企业创新绩效,因为在当前电子商务发展阶段和电子商务市场特性的作用下,产品创新能获得熊彼得租金,主导产品创新的是竞争脱离效应而非熊彼得效应。本研究结论对电子商务企业实践具有一定的指导意义。