Integrating Knowledge through Information Trading: Examining the Relationship between Boundary Spanning Communication and Individual Performance*

With the global penetration of Internet technologies, individuals may now cross organizational boundaries to communicate efficiently with others regardless of time and space. Thus, when looking for help in solving work tasks, knowledge workers may just as easily contact individuals in rival firms across the globe as a coworker sitting at the next desk. As a result, management faces questions such as (1) How should firms manage employees' knowledge‐sourcing activities when they span both intra‐organizational and extra‐organizational boundaries, and (2) What is the relationship between different knowledge‐sourcing activities and individual performance? Grounded in the knowledge‐based view of the firm, we investigate these questions using data from Europe's largest information technology (IT) services and management consulting company. Our results provide evidence that organizations should support boundary spanning and knowledge sourcing from both internal and external sources. Results suggest (1) a positive relationship between boundary spanning communication and creativity and general performance, and (2) a negative relationship between a reliance on colocated coworkers as knowledge sources and creativity.     

APPLICATION OF A PRODUCTIVITY MODEL FOR COMPUTER SYSTEMS*

The performance evaluation of computer systems as they impact on final user requirements for services is a complex task. A management-oriented approach to the issue based on conventional economic theory was described in a previous report as an outgrowth of a joint university-industry research project. In this sequel we report our experience in estimating, testing, and applying this conceptual model.     

Understanding Patterns of Publishing Activity in Academic Research Occupations*

While it is widely understood that faculty in various disciplines tend to publish at different rates and in different forms, knowledge of these differences is too limited to facilitate systematically differentiated performance appraisal and reward systems. In this study, theory concerning knowledge production system characteristics as influences on individual performance is applied to academic research occupations using a classification scheme developed by Biglan [4]. Regression analysis is applied to a general (industry-wide) sample of United States faculty, with publishing patterns as performance measures. Each dimension of the classification scheme is found to have predictive validity. Output patterns are consistent with a conceptualization of research occupations in terms of (1) transformational/technological processes, (2) research mission, and (3) input/subject matter characteristics. The results offer a basis for generating disciplinary publishing norms and differentiated reward systems.     

Replication of Measures in Information Systems Research: The Case of IS SERVQUAL*

The Information Systems (IS) discipline should recognize potential pitfalls in replication of research studies. This response to a note appearing in this issue by Van Dyke, Prybutok, and Kappelman (1999) aims to serve two purposes. First, this note will address the problems we have with the Van Dyke et al. (1999) attempted replication of our own previous work. Second, we hope it serves to establish more generally an awareness in the IS field for the potential to create and accept the “illusion of replicability” when this has not really been established.     

Evaluating and Refining Expert Critiquing Systems: A Methodology*

Expert critiquing systems are a rapidly growing class of intelligent decision support systems that apply artificial intelligence techniques to criticize a user's proposed solution to a problem. Critic programs now exist in the medical, engineering, programming, knowledge acquisition, word processing, and other domains. Critic refinement is a nontrivial activity that, even when done well, consumes a sizable fraction of the complete effort to build and deploy a critiquing system. To ease that effort, it is important to adopt a rigorous approach that allows one to reproducibly measure the degree of success of the current critic version and to predict which refinements will improve the critic further. The current article presents one such approach with actual case studies that illustrate its usage and elaborate selected aspects of the refinement process.