信息的价值问题与价值论信息主义

信息的价值问题可以从信息的有用性和信息对不同群体的利益偏向性两个方面去加以分析.主要源于信息价值的第一种含义,当信息的价值被过度强调时.就会导致"价值论信息主义",它是一种从"有用性"上对信息的崇拜和"信息万能论".     

借鉴EGAEI法改进政府信息公开评价的思考

政府信息公开是维护公民知情权,建设透明政府,促进依法行政的关键。随着《中华人民共和国政府信息公开条例》的实施,我国政府信息公开继续深入推进,但仍存在许多问题。确立科学的评价尺度,运用恰当的评价方法,完善政府信息公开评价,既可以准确反映我国政府信息公开的工作实绩和发展水平,又能对今后的工作起到积极导向作用。针对现有政府信息公开及其评价中的问题,借鉴电子政务测评EGAEI法,以期对改进现有政府信息公开评价有所裨益。     

基于银企联盟的供应链风险防范研究

在供应链管理中,供应链的风险防范是很重要的问题。通过供应链核心企业与银行构建银企联盟,使银行参与到供应链中,在为供应链提供金融支持的同时,构建供应链新的信息通路,加大信息沟通和信息共享,增强企业的互信,提升供应链及其企业的信用水平,防范供应链风险的发生。     

现代信息技术手段与大学生英语自主学习

学习策略在外语学习中起着重要作用,学生学习的主动性和自主性是当前大学英语教学中比较受关注的问题。大学英语教学模式的改革证明了现代信息技术在外语教学中的应用必将引起教学思想、教学内容、教学模式、教学方法和手段的革新,同时,也为外语学习者自主学习的实现提供了新的条件和手段。     

Internal Infrastructural Impacts on RFID Perceptions and Commitment: Knowledge,Operational Procedures,and Information‐Processing Standards

For many firms, radio frequency identification (RFID) suggests not only a new alternative to existing tracking methods but also a means to a range of previously cost‐prohibitive internal control and supply chain coordination innovations. In any event, and even in light of possible external pressures to adopt, the full potential of RFID for an individual firm must ultimately be viewed in consideration with the infrastructural capabilities of that firm. Furthermore, because adoption decisions are fundamentally based on managerial perceptions, it is critical to consider how certain forms of infrastructure provide the necessary transparency into other infrastructural characteristics to augment such decisions. We use multisource survey data in this work to consider several elements that contribute to this infrastructure and subsequently to perceptions of RFID benefit and actual commitment to adoption. Results demonstrate that the complementary effects of these infrastructural capabilities significantly impact both perceptions of and commitments to RFID.     

Dancing with the Devil: Partnering with Industry but Publishing in Academia*

We believe that partnering with industry can lead to research that is relevant, rigorous, and refreshing. Our experiences show that the potential benefits of partnering with industry are enormous, but that this is not an easy route for academics interested in operations research modeling or empirical methods. The need for grounded business research is greater now than ever, and, while academics have made great progress, there are still numerous opportunities to demonstrate the relevance of our research. We discuss how to establish industry contacts, identify fruitful academic—industry projects, and publish the resulting research.     

The FAIRSERV Model: Consumer Reactions to Services Based on a Multidimensional Evaluation of Service Fairness

The current dominant conceptualization of consumer reactions to services is the SERVQUAL model. This article proposes the FAIRSERV model as an alternative or additional conceptualization of consumer reactions to services. FAIRSERV involves seeing service evaluation through the lens of organizational fairness (justice) theory applied to the relationship between the service consumer and the service provider. FAIRSERV is premised on the claim that, especially in relational service contexts, consumers are interested in service fairness as well as service quality (service favorableness) as represented by SERVQUAL. Service fairness or justice is a multidimensional construct based on equity theory. In this article, the FAIRSERV model is tested with the SERVQUAL model in the context of information system services. The two models are used to predict service satisfaction and repatronage intention. The FAIRSERV model appears to add a significant new set of predictors of service satisfaction and repatronage intention that should be considered in the future by service providers.     

Implications of Success and Persistence for Public Sector Performance

Public sector organizations collect vast amounts of information that often goes unused. Information may serve a symbolic role to imply that decision makers are using rational decision processes, or it may be collected to rationalize a preconceived decision and develop or maintain public support. Over-collection of irrelevant information or under-analysis of existing information for decision implications leads to excessive public information costs with limited public benefit. The study discusses the role systematic information misalignment plays in the public sector and considers its implications for public agency performance. The concept is evaluated using examples from the National Aeronautics and Space Administration.

Strategic Decisions of New Technology Adoption under Asymmetric Information: A Game‐Theoretic Model*

In this paper we explore strategic decision making in new technology adoption by using economic analysis. We show how asymmetric information affects firms' decisions to adopt the technology. We do so in a two‐stage game‐theoretic model where the first‐stage investment results in the acquisition of a new technology that, in the second stage, may give the firm a competitive advantage in the product market. We compare two information structures under which two competing firms have asymmetric information about the future performance (i.e., postadoption costs) of the new technology. We find that equilibrium strategies under asymmetric information are quite different from those under symmetric information. Information asymmetry leads to different incentives and strategic behaviors in the technology adoption game. In contrast to conventional wisdom, our model shows that market uncertainty may actually induce firms to act more aggressively under certain conditions. We also show that having better information is not always a good thing. These results illustrate a key departure from established decision theory.     

Confirmatory Factor Analysis of the End‐User Computing Satisfaction Instrument: Replication within an ERP Domain*

Over the past decade, organizations have made significant investments in enterprise resource planning (ERP) systems. The realization of benefits from these investments depends on supporting effective use of information technology (IT) and satisfying IT users. User satisfaction with information systems is one of the most important determinants of the success of those systems. Drawing upon a sample of 407 end users of ERP systems and working within the framework of confirmatory factor analysis (CFA), this study examines the structure and dimensionality, and reliability and validity of the end‐user computing satisfaction (EUCS) instrument posited by Doll and Torkzadeh (1988) . In response to Klenke's (1992) motion to cross‐validate management information system (MIS) instruments and to retest the end user computing satisfaction instrument using new data, this study's results, consistent with previous findings, confirm that the EUCS instrument maintains its psychometric stability when applied to users of enterprise resource planning application software. Implications of these results for practice and research are provided.