A Model for the Study of Knowledge Management Support Systems

Knowledge markets have been proposed as an organizational structure to promote knowledge exchange for increased organizational profitability and survivability. However, the economics and organizational behavior literatures in administered hierarchies suggest that knowledge markets and their component reward systems could suffer from a variety of abuses, inequities, and inefficiencies. These literatures, and the information systems investigations they have spawned, are parlayed into a model for knowledge management research

Ranking Factors by Importance in Factorial Survey Analysis

Factorial survey analysis is a statistical technique with a long history of use in decision-oriented organizational and information systems (IS) research. The technique produces a collection of standardized regression coefficients that help one to rank survey factors by importance. However, such rankings may be invalid because a researcher might not account for two related issues: unequal factor (i.e., dimension) manipulation effect sizes and the inherent multilevel structure of factorial survey data. We address these concomitant issues by demonstrating the ranking problem in simulated datasets, explaining the ranking problem’s underlying statistical causes, and justifying the use of remediating statistical methods. In particular, we focus on coding proportional to effect, a technique in which one consolidates corresponding dimension-level dummy (0, 1) variables into a single re-calibrated independent variable that is regressed on the dependent variable. One then uses the resulting standardized coefficients to rank the factors. We assess the advantages, disadvantages, and limitations of remediation techniques and offer suggestions for future information systems research

Information Systems and Health Care-II: Back to the Future with RFID: Lessons Learned - Some Old, Some New

Healthcare facilities face limited resources and expanding expenses. Emerging information technologies offer a means for healthcare to measure and control their resources and workflow processes, and ultimately improve patient care. The usefulness of one emerging information technology, Radio Frequency Identification (RFID), is examined in a proof of application study conducted at a Level-1 trauma unit. Results from the study suggest not only that RFID technology can assist in the measurement and ultimate control of workflow processes, but also that traditional and non-traditional IS practices are necessary for successful RFID implementation. Lessons learned about the idiosyncrasies of RFID implementation and the cleansing and analysis of RFID-generated data are reported

Assessing Information Technology Use over Time with Growth Modeling and Hierarchical Linear Modeling: A Tutorial

Time is an important factor in the use of information technology. However, traditional information systems research methods cannot adequately account for the dynamic nature of time-based relationships often found in longitudinal data. This shortcoming is problematic when investigating volatile relationships that evolve over time (e.g., information technology use across users, departments, and organizations). Educational, sociological, and management researchers study the influence of time using a rigorous multilevel method called growth modeling. We demonstrate the use of growth modeling in this tutorial, which is based on a semester-long study of an actual web-based university-level course content delivery system. The tutorial provides guidance on preliminary data tests, the construction and analysis of growth models using hierarchical linear modeling, and the interpretation of final results. The tutorial also describes other unique advantages of using growth modeling for IS research

Sensemaking and Success in the Transition from Community Colleges to University IS/CS/CE Programs

Increasing the enrollment of women, minority, and other underrepresented populations in undergraduate information systems and computing programs is an important social issue. We explore ways of attracting and retaining community college transfer students—an important source of underrepresented students —by examining their sensemaking efforts as they transition to four-year universities. We conducted a qualitative study to test sensemaking theory and develop recommendations for retaining community college transfer students in undergraduate information systems, computer science, and computer engineering programs

Web-based recruitment : effects of information, organizational brand, and attitudes toward a Web site on applicant attraction

Recruitment theory and research show that objective characteristics, subjective considerations, and critical contact send signals to prospective applicants about the organization and available opportunities. In the generating applicants phase of recruitment, critical contact may consist largely of interactions with recruitment sources (e.g., newspaper ads, job fairs, organization Web sites); however, research has yet to fully address how all 3 types of signaling mechanisms influence early job pursuit decisions in the context of organizational recruitment Web sites. Results based on data from 814 student participants searching actual organization Web sites support and extend signaling and brand equity theories by showing that job information (directly) and organization information (indirectly) are related to intentions to pursue employment when a priori perceptions of image are controlled. A priori organization image is related to pursuit intentions when subsequent information search is controlled, but organization familiarity is not, and attitudes about a recruitment source also influence attraction and partially mediate the effects of organization information. Theoretical and practical implications for recruitment are discussed

Latent-Curve Modeling of Continued-Use Intentions: Near- Versus Distant-Future

Intentions of continued technology use are often viewed as a stable construct assuming little-to-no variance across temporal distance. However, psychological research and declining social network memberships suggest this assumption may not be correct. We use latent-curve modeling to examine near- versus distant-future intentions to use information communication technologies. Our findings suggest that continued-use models that include the psychological construct of temporal distance fit the model better than those that assume a simpler view of time

Simulation modeling and analysis: A collateral application and exposition of RFID technology

RFID technology provides in-depth, real-time visibility into the status of assets throughout the supply chain. However, the deployment of RFID technology may have collateral value in the high-quality data generated by these assets. This study explores the potential value of RFID data for tactical and strategic purposes and the redesign of processes within supply chain through the deployment of simulation modeling and analysis. We present a simulation study conducted at a regional hospital for which data related to trauma patient movement was collected with an RFID-based system. We find that not only does this data serve as the basis for successful simulation modeling, but that RFID technology may address several data-related challenges previously identified in the simulation literature. © 2007 Production and Operations Management Society

Impact of computer-mediated communication media characteristics on information acquisition, attitude favorability, and intentions toward joining the Navy

Web site design involves anticipating and understanding receivers' reactions to various web site attributes and using this information to make web Sites more useful and satisfying for them. The study assessed objective and subjective characteristics via surveys of information technology experts and non-experts. Results from the study demonstrated associations between web Site attributes and user reactions in at least two ways. First, results demonstrate the importance of message content and form in explaining variance in perceived usefulness and perceived ease-of-use constructs. Second, the results indicate that experts and non-experts differ in their perceptions, overall evaluations, and satisfaction with web sites