The quality of group tacit knowledge

Organizational knowledge creation theory explains the process of making available and amplifying knowledge created by individuals as well as crystallizing and connecting it to an organization’s knowledge system. What individuals get to know in their (working) lives benefits their colleagues and, eventually, the wider organization. In this article, we briefly review central elements in organizational knowledge creation theory and show a research gap related to the quality of tacit knowledge in a group. We advance organizational knowledge creation theory by developing the concept of “quality of group tacit knowledge.” Based on this concept, we further develop a comprehensive model explaining different levels of tacit knowledge quality that a group can achieve. Finally, we discuss managerial implications resulting from our model and outline imperatives for future theory building and empirical research.     

Information Systems Knowledge: Foundations, Definitions, and Applications

A key component of research within information systems is the use of valid instruments to measure numerous aspects of technology, organizations, and people. Validated instruments exist for many different variables and more are available all the time. Knowledge of a particular domain is an integral part of working competently, effectively, and successfully within that domain (N.M. Degele, World Futures, 50, 743–755, 1997). Therefore, this paper will describe the rationale for the development of an instrument to measure the information systems knowledge of individuals. This rationale is rooted in several streams of research, such as absorptive capacity and certainty of knowledge, and focuses on three main questions: why measure knowledge of information systems, how to measure this knowledge, and what to actually measure. The definitions of knowledge and information systems knowledge are developed and refined through an analysis of the literature covering the philosophical, psychological, and educational aspects of knowledge. The resulting models of knowledge and specifically information systems knowledge are then applied to research streams within the information systems discipline as well as practitioner-oriented needs.     

Understanding the social practices of systems developers

Abstract. The aim of this paper is to explore some of the ways in which we think about the development of information systems by drawing upon arguments articulated within the philosophy of science and the sociology of technology. It argues that many of these approaches operate on the basis of a reified and sociologically restricted view of technology. Drawing upon recent work in the sociology of technology the paper proposes a more thorough-going analysis of the social practice of information systems development and discusses examples from knowledge engineering and requirements analysis to illustrate its argument.     

Exploring the role of customer relationship management (CRM) systems in customer knowledge creation

This study explores how customer relationship management (CRM) systems support customer knowledge creation processes [48], including socialization, externalization, combination and internalization. CRM systems are categorized as collaborative, operational and analytical. An analysis of CRM applications in three organizations reveals that analytical systems strongly support the combination process. Collaborative systems provide the greatest support for externalization. Operational systems facilitate socialization with customers, while collaborative systems are used for socialization within an organization. Collaborative and analytical systems both support the internalization process by providing learning opportunities. Three-way interactions among CRM systems, types of customer knowledge, and knowledge creation processes are explored.     

Information - organization - decision: Some strange loops

Acceptance of the theoretical foundations of Management Information Systems (MIS) has remained surprisingly high in the past twenty years, whereas information processing technologies have been improving at an incredible rate. This stability appears to be because the MIS model is based on the cybernetic model of organizations. We see, however, a conceptual crisis due in the development of more and more complex information systems and increased questioning of the deficiencies of organizational models based on cybernetic theory. This is particularly highlighted by the problems encountered in introducing the “bounded rationality paradigm” of H.A. Simon into the model.In this paper, we propose a new model that should be better adapted to contempory technology. This model allows both order and disorder to be included, while incorporating the concept of “organizational memory,” to improve the representation of a complex organizational information system with an action and process aspect.     

Expert systems for knowledge management: crossing the chasm between information processing and sense making

Based on insights from research in information systems, information science, business strategy and organization science, this paper develops the bases for advancing the paradigm of AI and expert systems technologies to account for two related issues: (a) dynamic radical discontinuous change impacting organizational performance; and (b) human sense-making processes that can complement the machine learning capabilities for designing and implementing more effective knowledge management systems.     

Security lapses and the omission of information security measures: A threat control model and empirical test

Organizations and individuals are increasingly impacted by misuses of information that result from security lapses. Most of the cumulative research on information security has investigated the technical side of this critical issue, but securing organizational systems has its grounding in personal behavior. The fact remains that even with implementing mandatory controls, the application of computing defenses has not kept pace with abusers’ attempts to undermine them. Studies of information security contravention behaviors have focused on some aspects of security lapses and have provided some behavioral recommendations such as punishment of offenders or ethics training. While this research has provided some insight on information security contravention, they leave incomplete our understanding of the omission of information security measures among people who know how to protect their systems but fail to do so. Yet carelessness with information and failure to take available precautions contributes to significant civil losses and even to crimes. Explanatory theory to guide research that might help to answer important questions about how to treat this omission problem lacks empirical testing. This empirical study uses protection motivation theory to articulate and test a threat control model to validate assumptions and better understand the “knowing-doing” gap, so that more effective interventions can be developed.     

Cheating husbands and other stories: A case study of knowledge,action, and communication

The relationship between knowledge and action is a fundamental one: a processor in a computer network (or a robot or a person, for that matter) should base its actions on the knowledge (or information) it has. One of the main uses of communication is passing around information that may eventually be required by the receiver in order to decide upon subsequent actions. Understanding the relationship between knowledge, action, and communication is fundamental to the design of computer network protocols, intelligent robots, etc. By looking at a number of variants of thecheating husbands puzzle, we illustrate the subtle relationship between knowledge, communication, and action in a distributed environment. Yoram Moses received a B.Sc. in mathematics from the Hebrew University, Jerusalem, in 1981, and a Ph.D. in computer science from Stanford University in 1986. He will be spending the 1985/6 school year as a post-doctoral fellow at MIT. His major research interests are distributed systems, artificial intelligence, and the methodological foundations of computer science. Danny Dolev received a B.Sc. in physics from the Hebrew University Jerusalem in 1971, an M.Sc. in applied mathematics from the Weizmann Institute of Science, Israel in 1973, and a Ph.D. in computer science from the Weizmann Institute of Science in 1979. After two years as a post-doctoral fellow at Stanford and a year as a visiting scientist at IBM, he joined the Hebrew University, Jerusalem, in 1982. His major research interests are distributed computing, reliability of distributed systems, and algorithms. Joe Halpern received a B.Sc. in mathematics from the University of Toronto in 1975, and a Ph.D. in mathematics from Harvard University in 1981. In between, he spent two years as the head of the mathematics department at Bawku Secondary School, in Ghana. After a year as a visiting scientist at MIT, he joined IBM in 1982. His major research interests are reasoning about knowledge, distributed computing, and logics of programs.The work of this author was supported in part by DARPA contract N00039-82-C-0250     

信息系统开发中的知识转移研究综述

知识管理已经成为信息系统领域的研究热点,其中一个重点就是知识转移。论文对信息系统开发过程中知识转移研究文献从因素研究、开发方法、外包、动态知识流、知识分离与集成等方面进行了综述,分析了该领域的研究现状、存在的问题。未来应从知识管理的视角研究ISD开发过程,把需求分析等活动上升到知识分析的高度,使知识管理研究贯穿信息系统的整个生命周期中,及时全面地发现用户深层次的需求,为开发过程改进提供理论基础。     

Integrated planning information systems: Context, design requirements, and prospects

This research contributes to the theoretical basis for appropriate design of computer-based, integrated planning information systems. The research provides a framework for integrating relevant knowledge, theory, methods, and technology. Criteria for appropriate system design are clarified. The requirements for a conceptual system design are developed based on “diffusion of innovation” theory, lessons learned in the adoption and use of existing planning information systems, current information-processing technology (including expert system technology), and methodology for evaluation of mitigation strategies for disaster events. Research findings focus on the assessment of new information systems technology. Chief among these findings is the utility of case-based reasoning for discovering and formalizing the meta rules needed by expert systems, the role of the “diffusion of innovation” theory in establishing design criteria, and the definition of client interests served by integrated planning information systems. The work concludes with the selection of a prototyping exercise. The prototype is developed in a forthcoming technical paper (Masri & Moore, 1994).     

Understanding the effect of knowledge management strategies on knowledge management performance: A contingency perspective

The universalistic perspective research on employing a unidimensional knowledge management (KM) strategy has yielded conflicting findings and recommendations in different contexts. This study proposes a contingency model for investigating the effects of KM strategies on KM performance to resolve these contradictions. Drawing on the knowledge-based view (KBV) of the firm, which identifies knowledge type and origin as two key KM dimensions, this study first defines four KM strategies: external codification, internal codification, external personalization, and internal personalization. A multiple contingency model of KM strategy is then developed based on a technology–organization–environment framework. This study proposes that the effectiveness of each KM strategy depends on both external and internal contextual conditions, namely, environmental knowledge intensity and organizational information systems (IS) maturity. To test and validate the contingency model, we analyze data from 141 firms to explain the effects of KM strategies on KM performance. Our results reveal three KM strategies, not including the internal personalization strategy, which have a significant association with KM performance in their hypothesized contexts. This study expands KM strategy research by theoretically developing an advanced contingency model aligned with external and internal contexts and by providing valuable practical suggestions to managers for selecting a KM strategy based on multiple contingencies related to the external and internal conditions of a firm.     

Recommender Systems Research: A Connection-Centric Survey

Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in recommender systems grew out of information retrieval and filtering, the topic has steadily advanced into a legitimate and challenging research area of its own. Recommender systems have traditionally been studied from a content-based filtering vs. collaborative design perspective. Recommendations, however, are not delivered within a vacuum, but rather cast within an informal community of users and social context. Therefore, ultimately all recommender systems make connections among people and thus should be surveyed from such a perspective. This viewpoint is under-emphasized in the recommender systems literature. We therefore take a connection-oriented perspective toward recommender systems research. We posit that recommendation has an inherently social element and is ultimately intended to connect people either directly as a result of explicit user modeling or indirectly through the discovery of relationships implicit in extant data. Thus, recommender systems are characterized by how they model users to bring people together: explicitly or implicitly. Finally, user modeling and the connection-centric viewpoint raise broadening and social issues—such as evaluation, targeting, and privacy and trust—which we also briefly address.     

SweetWiki: A semantic wiki

Everyone agrees that user interactions and social networks are among the cornerstones of “Web 2.0”. Web 2.0 applications generally run in a web browser, propose dynamic content with rich user interfaces, offer means to easily add or edit content of the web site they belong to and present social network aspects. Well-known applications that have helped spread Web 2.0 are blogs, wikis, and image/video sharing sites; they have dramatically increased sharing and participation among web users. It is possible to build knowledge using tools that can help analyze users’ behavior behind the scenes: what they do, what they know, what they want. Tools that help share this knowledge across a network, and that can reason on that knowledge, will lead to users who can better use the knowledge available, i.e., to smarter users. Wikipedia, a wildly successful example of web technology, has helped knowledge-sharing between people by letting individuals freely create and modify its content. But Wikipedia is designed for people—today's software cannot understand and reason on Wikipedia's content. In parallel, the “semantic web”, a set of technologies that help knowledge-sharing across the web between different applications, is starting to gain attraction. Researchers have only recently started working on the concept of a “semantic wiki”, mixing the advantages of the wiki and the technologies of the semantic web. In this paper we will present a state-of-the-art of semantic wikis, and we will introduce SweetWiki, an example of an application reconciling two trends of the future web: a semantically augmented web and a web of social applications where every user is an active provider as well as a consumer of information. SweetWiki makes heavy use of semantic web concepts and languages, and demonstrates how the use of such paradigms can improve navigation, search, and usability.     

Questions and Information: Contrasting Metaphors

This article examines metaphors for question asking, information and knowledge in the context of knowledge management. Metaphors discussed include: information is a resource, knowledge is a product, a good question is an irritant, and questions are the enemies of authority. The analysis draws on current theories of metaphor from the cognitive sciences as a basis for understanding the conceptual entailments of these terms for the MIS field. Churchman's inquiring systems are discussed as an example of a question-centric approach to knowledge management. The article concludes that a greater emphasis on inquiry would offer a beneficial perspective for practices concerned with information quality and knowledge management.     

Understanding moderating effects of collectivist cultural orientation on the knowledge sharing attitude by email

This paper investigates the moderating effects of collectivist cultural orientation introduced in the information systems and knowledge management (KM) literature to fully understand the important factors and relationships in knowledge sharing in the online learning environment. Social norms and collectivist cultural orientation are hypothesized as direct and moderating factors to the system users’ (or learners’) attitude toward sharing knowledge by email. An empirical test of large student samples (n = 566) with multiple cultural backgrounds in the most diverse university was implemented by PLS. The test confirmed that collectivist cultural orientation moderates the effects of social norms on the attitude toward sharing knowledge by email. Furthermore, the test results show that group norms are stronger than the instructor or classmate norms. Theoretical and practical implications of these findings for online learning and KM are discussed in the paper.     

Critical success factors revisited: success and failure cases of information systems for senior executives

The literature suggests the existence of critical success factors (CSFs) for the development of information systems that support senior executives. Our study of six organizations gives evidence for this notion of CSFs. The study further shows an interesting pattern, namely that companies either “get it right”, and essentially succeed on all CSFs, or “get it completely wrong”, that is, fall short on each of the CSFs. Among the six cases for which data were collected through in-depth interviews with company executives, three organizations seemed to manage all the CSFs properly, while two others managed all CSFs poorly. Only one organization showed a mixed scorecard, managing some factors well and some not so well. At the completion of the study, this organization could neither be judged as a success, nor as a failure. This dichotomy between success and failure cases suggests the existence of an even smaller set of “meta-success” factors. Based on our findings, we speculate that these “meta-success” factors are “championship”, “availability of resources”, and “link to organization objectives”.     

Bureaucratic factors in the adoption of gis by public organizations: Preliminary evidence from public administrators and planners

Among the goals of the National Center for Geographic Information and Analysis is the development of programs to transfer knowledge about GIS to public organizations. Achievement of this goal depends on a number of factors, among them technical, financial, and political conditions, as well as bureaucratic structures that influence the adoption of new innovations generally, and GIS specifically. In this paper, I argue that because of organizational reliance on “standard operating procedures” on the one hand, and professional training and socialization on the other, public organizations tend to favor the status quo, while public administrators screen out the geographical components of professional tasks and rely on nongeographic information systems. This argument is based on a theoretical understanding of bureaucracy, organizational decision-making, and the search for information used by organizations in the decision-making process. I provide support for this argument based on a study of the use of geographic information by public administrators and planners, as evidenced by the presence of maps, within the professional publications of the American Society for Public Administration and the American Institute of Certified Planners/American Planning Association.     

A continental philosophy perspective on knowledge management

Abstract.  Knowledge management is the computer's contribution to management 'science' and claims to be the successor of various trends in the business world, including, but not necessarily limited to information resources management, business process reengineering, management information systems and organizational memory. A number of definitions have been proposed for it. The very concept of knowledge used by knowledge management writers, however, is based on a dubious epistemology. This paper looks at the concept of knowledge from a continental perspective. With this perspective, we question whether what is being managed is, in fact, knowledge, and whether management will get business what it wants anyway.     

A Coalgebraic Semantics for Epistemic Programs

This paper gives a fresh look at my previous work on “epistemic actions” and information updates in distributed systems, from a coalgebraic perspective. I show that the “relational” semantics of epistemic programs, given in [BMS2] in terms of epistemic updates, can be understood in terms of functors on the category of coalgebras and natural transformations associated to them. Then, I introduce a new, alternative, more refined semantics for epistemic programs: programs as “epistemic coalgebras”. I argue for the advantages of this second semantics, from a semantic, heuristic, syntactical and proof-theoretic point of view. Finally, as a step towards a generalization, I show these concepts make sense for other functors, and that apparently unrelated concepts, such as Bayesian belief updates and process transformations, can be seen to arise in the same way as our “epistemic actions”.