Measurement biases in user involvement research

Considerable research has been conducted to demonstrate user involvement's effect on information system success. User involvement and system success typically have been measured by asking users for their perceptions of these variables. This paper reports on a field study conducted to investigate the possibility that this approach to measuring study variables tends to overstate the benefits of user involvement. The link of user involvement to user satisfaction is found to be significantly weaker when user involvement is assessed by systems analysts than when it is self reported. Further, this difference is found to be greater for systems with few users than for systems with many users. The findings suggest that common method variance and self-serving bias may have overstated the apparent benefits of user involvement in past research on information systems. Suggestions for future research are presented.     

The evolution and problems of model management research

Models are a key resource for organizational decision making. The diversity, complexity, and reusability of this resource result in the need for model management systems. The construction of a model management system involves a modeling task dimension and a design level dimension. The modeling task dimension consists of model formulation, model representation, and model processing. The design level dimension addresses the architectural requirements of a system from a user's standpoint and a computer system's standpoint.The numerous architectures suggested in the model management systems literature address isolated areas identified by these dimensions. The research surveyed in this paper indicates that the primary focus has been on the system view of model representation. Before model management systems can be widely used in organizations, model management researchers must explore systems that address all areas of the task and design level dimensions.In this paper, we identify and justify the necessary dimensions of model management research. Next, the existing model management research is critically reviewed. Finally, neglected research areas are discussed, and investigations necessary for the development of integrated model management systems are suggested.     

Measuring user attitudes in MIS research: a review

Management information system (MIS) user attitude measurement and research has been motivated by two distinct perspectives, termed the implementation perspective and the information perspective. A survey of the most significant work based on these perspectives is presented. The consensus of this work is that MIS attitudes are related to MIS use, broadly speaking. However, the usage-relevant components of user attitudes are as yet not well understood. More refined attitude concepts and measures are needed. One such concept, that of a user's channel disposition, is advanced as part of a suggested research direction.     

国际航运企业业绩评价实证研究

在提出国际航运企业业绩评价3C评价模式及其评价指标体系的基础上,运用熵权法的评价步骤,构建了国际航运企业业绩综合评价模型,结合数据的可获性,选取了15家国际班轮公司,展开企业业绩评价的实证研究,并得出了企业与专家认同的结论。     

社会化运作管理:一个正在兴起的研究领域

在信息化、智能化程度日益发达的社会环境中, 参与者之间的信息交互与社会行为开始显著影响整个运作管理系统.而随着与运作管理息息相关的社会经济活动的日益革新, 社会互动行为和社会因素的影响正在得到广泛的关注, 逐渐形成了一个新兴研究领域——社会化运作管理.社会化运作管理是指考虑人的社会性特征及社会影响因素的运作管理.本文从社会互动、社会价值观多元化及新经济形态的发展三个方面分析了运作管理中社会化现象产生的原因及影响, 阐明了研究和发展社会化运作管理的必要性和迫切性, 继而剖析了社会化运作管理的实现途径.在此基础上, 本文从社会学习、社会比较及社会影响等方面对社会化运作管理的理论研究进行了评述, 同时从社会化商务和共享经济角度对应用研究进行了分析, 并结合最新研究成果提出未来可行的研究方向.     

组织单元间的差异性对信息系统应用绩效影响

以组织信息处理理论(OIPT)为理论基础,从组织单元层面出发,提出中间利益的概念,建立了理论模型,研究组织单元间的差异性是如何通过中间利益对信息系统应用绩效产生影响,这种研究把前人从组织整体上研究信息系统应用绩效深入到组织单元层面.论文通过对22家应用信息系统的制造企业进行问卷调查,使用结构方程模型分析方法,通过实证分析,揭示了企业应用信息系统的绩效有所不同的原因,为企业提高信息化应用绩效奠定理论基础.     

基于Petri网的微博网络信息传播模型

微博网络中的信息传播模型是分析用户行为,找出传播路径,确定领袖人物,发现舆情热点等研究的基础。虽然多种不同角度的信息传播模型已经得到广泛研究,但缺乏对信息动态传播过程的直观描述。本文基于Petri网的结构和特征,针对微博网络信息传播过程,提出了一种简单直观的描述模型,该模型首先对微博网络的信息动态传播过程中的对象进行结构化描述。本文根据微博网络的用户结构关系,并利用Petri网的相关理论,形式化解释和定义信息传播基本对象,从而更加直接描述了微博网络中的转发、评论、回复等多种用户行为。在此基础上,本文利用Petri网能够描述信息流动问题的特征,结合颜色Petri网和时延Petri网,从Petri网系统的角度表示信息动态传播路径,并研究网络的动态性质和传播条件,使得信息传播模型更加真实地模拟信息传播情况。最后本文分析信息传播算例和新浪微博真实数据实验,验证了模型的有效性和可行性,为舆情态势分析以及用户行为的研究提供帮助和支持,同时也为其它社交网络信息传播的用户行为描述提供了新的思路。     

盗版威胁下信息产品在线销售模式选择研究

针对由信息产品制造商和在线平台组成的在线渠道供应链,将信息产品分为传统版本和数字版本,考虑数字盗版的威胁,构建了三种在线渠道合作模式：单一传统版本模式(S模式)、双版本分销模式(W模式)和双版本代销模式(A模式),对比分析了不同模式下在线渠道参与者的利润,力图为在线渠道参与者的决策提供参考。研究发现,若正版与盗版差异较小,或盗版监管力度不足,制造商和在线平台都倾向于采取单一传统版本模式;否则,采取双版本模式更优,当佣金比例适中时,制造商和在线平台在代销模式下可达到双赢。     

信息共享程度对物流外包激励契约的影响

本文分析了由供应商、制造商和第三方物流企业(3PLs)组成的物流外包系统,考虑了供应商和制造商信息共享程度的影响,建立了协同工作环境下的激励契约模型.结果表明,委托人偏好低努力水平时,信息共享对激励契约没有影响;委托人偏好高努力水平时,信息共享能更好的激励代理人选择委托人希望的行动.信息不共享时,3PLs只有提高对供应商努力水平的积极性;信息共享时,3PLs收入波动性增大,提高对供应商和对制造商的努力水平都能使其获得帕累托改进.本研究为物流成本在供应链成员中的分摊提供了理论依据,并提出了模型改进和研究建议.     

System dynamics: Portraying bounded rationality

This paper examines the linkages between system dynamics and the Carnegie School in their treatment of human decision making. It is argued that the structure of system dynamics models implicitly assumes bounded rationality in decision making and that recognition of this assumption would aid system dynamicists in model construction and in communication with other social science disciplines. The paper begins by examining Simon's ‘principle of bounded rationality’ which draws attention to the cognitive limitations on the information gathering and processing powers of human decision makers. Forrester's ‘Market Growth Model’ is used to illustrate the central theme that system dynamics models are portrayals of bounded rationality. Close examination of the model formulation reveals decision functions involving simple rules of thumb and limited information content. Finally, there is a discussion of the implications of Carnegie philosophy for system dynamics as it affects communication, model structuring, model analysis and future research.     

Digital Finance and FinTech: current research and future research directions

Since decades, the financial industry has experienced a continuous evolution in service delivery due to digitalization. This evolution is characterized by expanded connectivity and enhanced speed of information processing both at the customer interface and in back-office processes. Recently, there has been a shift in the focus of digitalization from improving the delivery of traditional tasks to introducing fundamentally new business opportunities and models for financial service companies. Digital Finance encompasses a magnitude of new financial products, financial businesses, finance-related software, and novel forms of customer communication and interaction—delivered by FinTech companies and innovative financial service providers. Against this backdrop, the research on finance and information systems has started to analyze these changes and the impact of digital progress on the financial sector. Therefore, this article reviews the current state of research in Digital Finance that deals with these novel and innovative business functions. Moreover, it gives an outlook on potential future research directions. As a conceptual basis for reviewing this field, the Digital Finance Cube, which embraces three key dimensions of Digital Finance and FinTech, i.e., the respective business functions, the technologies and technological concepts applied as well as the institutions concerned, is introduced. This conceptualization supports researchers and practitioners when orientating in the field of Digital Finance, allows for the arrangement of academic research relatively to each other, and enables for the revelation of the gaps in research.     

Evaluating basic research strategies

A model has been developed to describe the pharmaceutical research and drug innovation process. The model originally served to show the range of results that could arise from research in the field of infectious disease chemotherapy over a sustained period of time. The main goal of the model was to illuminate the risk/reward/time tradeoff faced by management in selecting a particular research strategy. The results obtained with this model were one of several considerations influencing the research strategy decision of CIBA-GEIGY in 1976 to adapt and strengthen its research effort in infectious disease chemotherapy.This model has so far been applied only for the comparative evaluation of infectious disease chemotherapy research strategies. However, there is no conceptual reason why it should be limited to this field of drug research or indeed to pharmaceutical research at all. This type of analysis should be applicable wherever clear, product-oriented research goals can be identified and defined, where some reasonable financial reward can be attached to achieving these goals, and where an assessment—albeit subjective—can be made of the likelihood of achieving these goals.     

Learning by exporting: A system-based review and research agenda

Over the past four decades, flourishing empirical research has attempted to establish the mechanisms and conditions underpinning improvements in exporters’ innovation and productivity via the learning-by-exporting (LBE) effect, and the domain has gained legitimacy and empirical credibility. However, the literature's findings are largely fragmented and require systematic review and analysis to draw definitive conclusions on the factors that influence the subsequent realization of learning from exporting. To fill this void, we critically examine the extant LBE research for the period 1984–2021. We systematically review 167 articles to develop a system-based taxonomy and conceptual model of LBE, which comprises five major components: system outputs (productivity and innovation), inputs (e.g., institutional factors and resources), firm-level capabilities (e.g., absorptive capacity and innovation persistence), managerial characteristics (e.g., entrepreneurship skills) and internationalization strategies. In doing so, we uncover paradoxical tensions within the system brought about by the conflicting roles of some components of the LBE system, such as firm-, industry- and country-level technological capabilities. Our review also reveals research gaps that open relevant opportunities for further research and conclusions that hold novel implications for managers and policymakers.     

质量成本各要素关系研究及模型建立

文章主要针对质量成本各组成部分间的关系以及质量成本与质量水平间的关系做深入分析研究。文章通过建立系统动力学仿真模型来研究不同质量水平下质量成本各组成部分间的关系;质量成本与质量水平的关系研究则利用灰色系统理论解决历史数据不足够多的情况下质量成本与质量水平间的关系,并通过灰色线性回归组合模型建立质量成本与质量水平间的关系模型。首先,文章分析讨论质量成本各组成部分间的三种关系模型;其次,为更进一步深入讨论不同质量水平下质量成本各组成部分间关系,文章建立质量成本各组成部分间的系统动力学模型;再次,文章采用灰色系统模型GM(1,1)与线性相关模型相组合的组合模型并结合新陈代谢处理方法建立一种更为优化的质量成本与质量水平间的关系模型;最后,文章通过案例研究证明质量成本灰色线性回归组合模型的准确性。     

基于多智能体的城市群政府合作建模与仿真——嵌入并反馈于一个异构性社会网络

以社会网络视阈下的城市群政府合作过程中的多期进化博弈为例,通过概念模型、数学模型和计算机模型的完整建模过程,在微观主体互动层面建立一个考虑个体成本收益差异的非对称进化博弈系统(并同时考虑全体博弈互动和部分博弈互动的交互),在宏观社会结构层面建立一个实现节点之间连接概率定制化的异构性社会网络模型(且同时考虑全局信息交互和局部信息交互的更替),并通过多智能体系统(特别是交互意愿变量的引入)实现了微观互动(博弈行为)和宏观涌现(网络结构)之间的双向反馈和动态交互.在构建模拟系统的基础上,设计并运行了一系列的实验方案,对仿真模型及模拟结果进行信度检验,并结合多次模拟实验样本数据的统计分析,考察全局交互比例,局部连接概率等网络结构变量、合作收益、惩罚措施等博弈参数变量、以及决策个性等主体属性变量对城市群政府博弈形势与合作水平的动态影响,为促进城市群政府合作和区域一体化进程提供决策依据和政策参考,也是政治学与公共行政学科计算实验研究的一次创新尝试.     

A bibliometric analysis of operations research and management science

Bibliometric analysis is the quantitative study of bibliographic material. It provides a general picture of a research field that can be classified by papers, authors and journals. This paper presents a bibliometric overview of research published in operations research and management science in recent decades. The main objective of this study is to identify some of the most relevant research in this field and some of the newest trends according to the information found in the Web of Science database. Several classifications are made, including an analysis of the most influential journals, the two hundred most cited papers of all time and the most productive and influential authors. The results obtained are in accordance with the common wisdom, although some variations are found.     

New developments in behavioral pricing research

Behavioral pricing extends traditional price theory by exploring consumers’ reactions to prices from a psychological perspective. With the constant and substantial evolution of this research field, we review the progress on the state of knowledge on consumers’ processing of price information and price behavior. To this end, we develop a framework to classify the advances made in behavioral pricing research during the past decade. We discuss conceptual developments, the contribution of the adoption of new theories, and new relationships and pricing phenomena. We show that several concepts have undergone conceptual developments (e.g., price search) while other concepts are new to the literature (e.g., participative pricing mechanisms). Regarding theoretical developments, the adoption of theories from other disciplines has contributed to enhance understanding of price-related effects. Finally, new pricing phenomena, such as the zero price effect or the placebo effect of price promotions, challenge the traditional view of consumers’ response to price information. Furthermore, a number of recent empirical findings contradict existing knowledge on price-related concepts and phenomena. Thus, it is of prime importance to integrate the latest findings with prior literature. From the key findings in the literature, we derive directions for future research.     

Technology Investment and Management Accounting Practice

Management accounting techniques and information are often accused of having many limitations that are likely to constrain investment in new technology. However, relatively little is known about the actual influence of management accounting practices on investment decisions. The empirical evidence of this research shows that new technology investment decisions are both highly complex and political. These decision attributes give rise to a protracted, circuitous, decision process that is very different from the rational model which dominates the capital budgeting literature. The research also shows that the management accounting system captures only a fraction of the information generated by this process and consequently has a relatively low influence on these investment decisions.     

Creative development of computerized information systems

Many observers of the data processing industry feel that the effectiveness of application systems has not increased as rapidly as that of the hardware on which they are implemented. The need for more creative approaches to information system development is proposed. This article examines those pressures on design personnel which stifle creativity, and provides suggestions for overcoming those pressures. The administrative processes used in scientific research and development are used as a model.     

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.