Information Systems Research

Công bố khoa học tiêu biểu

Sắp xếp:  
Application of Social Cognitive Theory to Training for Computer Skills
Information Systems Research - Tập 6 Số 2 - Trang 118-143 - 1995
Deborah Compeau, Christopher A. Higgins
While computer training is widely recognized as an essential contributor to the productive use of computers in organizations, very little research has focused on identifying the processes through which training operates, and the relative effectiveness of different methods for such training. This research examined the training process, and compared a behavior modeling training program, based on Social Cognitive Theory (Bandura [Bandura, A. 1977. Self-efficacy: Toward a unifying theory of behavioral change. Psych. Rev. 84(2) 191–215; Bandura, A. 1978. Reflections on self-efficacy. Adv. Behavioral Res. Therapy 1 237–269; Bandura, A. 1982. Self-efficacy mechanism in human agency. Amer. Psychologist 372 122–147; Bandura, A. 1986. Social Foundations of Thought and Action. Prentice-Hall, Englewood Cliffs, NJ.]), to a more traditional, lecture-based program. According to Social Cognitive Theory, watching others performing a behavior, in this case interacting with a computer system, influences the observers' perceptions of their own ability to perform the behavior, or self-efficacy, and the expected outcomes that they perceive, as well as providing strategies for effective performance. The findings provide only partial support for the research model. Self-efficacy exerted a strong influence on performance in both models. In addition, behavior modeling was found to be more effective than the traditional method for training in Lotus 1-2-3, resulting in higher self-efficacy and higher performance. For WordPerfect, however, modeling did not significantly influence performance. This finding was unexpected, and several possible explanations are explored in the discussion. Of particular surprise were the negative relationships found between outcome expectations and performance. Outcome expectations were expected to positively influence performance, but the results indicated a strong negative effect. Measurement limitations are presented as the most plausible explanation for this result, but further research is necessary to provide conclusive explanations.
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research - Tập 13 Số 2 - Trang 205-223 - 2002
Marios Koufaris
In this study, we consider the online consumer as both a shopper and a computer user. We test constructs from information systems (Technology Acceptance Model), marketing (Consumer Behavior), and psychology (Flow and Environmental Psychology) in an integrated theoretical framework of online consumer behavior. Specifically, we examine how emotional and cognitive responses to visiting a Web-based store for the first time can influence online consumers' intention to return and their likelihood to make unplanned purchases. The instrumentation shows reasonably good measurement properties and the constructs are validated as a nomological network. A questionnaire-based empirical study is used to test this nomological network. Results confirm the double identity of the online consumer as a shopper and a computer user because both shopping enjoyment and perceived usefulness of the site strongly predict intention to return. Our results on unplanned purchases are not conclusive. We also test some individual and Web site factors that can affect the consumer's emotional and cognitive responses. Product involvement, Web skills, challenges, and use of value-added search mechanisms all have a significant impact on the Web consumer. The study provides a more rounded, albeit partial, view of the online consumer and is a significant steptowards a better understanding of consumer behavior on the Web. The validated metrics should be of use to researchers and practitioners alike.
From Peer Production to Productization: A Study of Socially Enabled Business Exchanges in Open Source Service Networks
Information Systems Research - Tập 19 Số 4 - Trang 475-493 - 2008
Joseph Feller, Patrick Finnegan, Brian Fitzgerald, Jeremy Hayes
Peer production phenomena such as open source software (OSS) have been posited as a viable alternative to traditional production models. However, community-based development often falls short of creating software “products” in the sense that consumers understand. Our research identifies an emerging business network archetype in the OSS sector, the open source service network (OSSN), which seeks to address the “productization” challenge. To do so, OSSNs must overcome the problems associated with exchanging resources between firms. We demonstrate that OSSNs overcome exchange problems by primarily relying on social, rather than legal, mechanisms; similar to the OSS communities from which they emerged. This is made possible because OSSNs use IT infrastructures that provide high visibility for primary value-creating activities. The research utilizes a multimethod theory-building approach, deriving a model from extant research, refining the model through qualitative case study analysis, and further refining the model through quantitative analysis of survey data. The paper reveals the manifestation of social mechanisms in OSSNs and how these are used for coordinating and safeguarding exchanges between firms. Specifically, we illustrate the primary importance of a shared macroculture (goals and norms) and collective sanctions for punishing firms who violate these goals/norms. Furthermore, our research highlights the interplay between digital and social networks within OSSNs, demonstrating that the use of social mechanisms is inherently dependent upon the underlying IT infrastructure.
How Is the Mobile Internet Different? Search Costs and Local Activities
Information Systems Research - Tập 24 Số 3 - Trang 613-631 - 2013
Anindya Ghose, Avi Goldfarb, Sang Pil Han
We explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less “Internet-like”: search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.
Research Commentary: The Next Wave of Nomadic Computing
Information Systems Research - Tập 13 Số 4 - Trang 377-388 - 2002
Kalle Lyytinen, Youngjin Yoo
A nomadic information environment is a heterogeneous assemblage of interconnected technological, and social, and organizational elements that enable the physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale, along with their mutual interdependencies. By using a framework that organizes research topics in nomadic information environments at the individual, team, organizational, and inter organizational levels and is comprised of both service and infrastructure development, we assess the opportunities and challenges for IS research. These deal with the design, use, adoption, and impacts of nomadic information environments. We conclude by discussing research challenges posed by nomadic information environments for information systems research skills and methods. These deal with the need to invent novel research methods and shift our research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes.
Cognitive Fit: An Empirical Study of Information Acquisition
Information Systems Research - Tập 2 Số 1 - Trang 63-84 - 1991
Iris Vessey, Dennis F. Galletta
From a broad perspective, our research can be viewed as investigating the fit of technology to task, the user's view of the fit between technology and task, and the relative importance of each to problem-solving or decision-making performance. The technology investigated in this research is the mode of information presentation. Although there has been a considerable amount of research into problem solving using graphs and tables, until recently the circumstances in which each is more effective have been largely unresolved. Recent research has suggested that performance benefits accrue when cognitive fit occurs, i.e., when factors such as the problem representation and problem solving tools match the characteristics of the task. In this paper, we investigate the effects of the basic paradigm of cognitive fit and extensions to the paradigm in a laboratory experiment that examined the nature of subjects' mental representations as well as problem-solving performance. The experiment, using 128 MBA students in two identical, repeated measures designs, produced the following results: • Performance improved markedly for symbolic tasks when the problem representation matched the task. Performance effects also resulted from matching specific problem-solving skills to the problem representation and the task, and to a lesser extent when the skills matched the task alone. • The incremental effects of matching skills to the problem representation and/or the task were small compared with the primary effects of cognitive fit-that of matching problem representation to task. • A large proportion of problem solvers have insight into the concept of supporting tasks with certain types of problem representation and vice versa. • Participants preferred to use tables rather than graphs; they also preferred to solve symbolic rather than spatial problems. Finally, the problem representation more significantly influenced the mental representation than did task conceptualization. This research suggests that providing decision support systems to satisfy individual managers' desires will not have a large effect on either the efficiency or the effectiveness of problem solving. Designers should, instead, concentrate on determining the characteristics of the tasks that problem solvers must address, and on supporting those tasks with the appropriate problem representations and support tools. Sufficient evidence now exists to suggest that the notion of cognitive fit may be one aspect of a general theory of problem solving. Suggestions are made for extending the notion of fit to more complex problem-solving environments.
Information Systems Success: The Quest for the Dependent Variable
Information Systems Research - Tập 3 Số 1 - Trang 60-95 - 1992
William DeLone, Ephraim R. McLean
A large number of studies have been conducted during the last decade and a half attempting to identify those factors that contribute to information systems success. However, the dependent variable in these studies—I/S success—has been an elusive one to define. Different researchers have addressed different aspects of success, making comparisons difficult and the prospect of building a cumulative tradition for I/S research similarly elusive. To organize this diverse research, as well as to present a more integrated view of the concept of I/S success, a comprehensive taxonomy is introduced. This taxonomy posits six major dimensions or categories of I/S success—SYSTEM QUALITY, INFORMATION QUALITY, USE, USER SATISFACTION, INDIVIDUAL IMPACT, and ORGANIZATIONAL IMPACT. Using these dimensions, both conceptual and empirical studies are then reviewed (a total of 180 articles are cited) and organized according to the dimensions of the taxonomy. Finally, the many aspects of I/S success are drawn together into a descriptive model and its implications for future I/S research are discussed.
A Respecification and Extension of the DeLone and McLean Model of IS Success
Information Systems Research - Tập 8 Số 3 - Trang 240-253 - 1997
Peter B. Seddon
DeLone and McLean's (DeLone, W. H., E. R. McLean. 1992. Information systems success: The quest for the dependent variable. Inform. Systems Res. 3(1) 60–95.) comprehensive review of different information system success measures concludes with a model of “temporal and causal” interdependencies between their six categories of IS Success. After working with this model for some years, it has become apparent that the inclusion of both variance and process interpretations in their model leads to so many potentially confusing meanings that the value of the model is diminished. Because of the confusion that this overloading of meanings can cause, this paper presents and justifies a respecified and slightly extended version of DeLone and McLean's model.
Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry
Information Systems Research - Tập 16 Số 1 - Trang 61-84 - 2005
Kevin Zhu, Kenneth L. Kraemer
Grounded in the innovation diffusion literature and the resource-based theory, this paper develops an integrative research model for assessing the diffusion and consequence of e-business at the firm level. Unlike the typical focus on adoption as found in the literature, we focus on postadoption stages, that is, actual usage and value creation. The model thus moves beyond dichotomous “adoption versus nonadoption” and accounts for the “missing link”—actual usage—as a critical stage of value creation. The model links technological, organizational, and environmental factors to e-business use and value, based on which a series of hypotheses are developed. The theoretical model is tested by using structural equation modeling on a dataset of 624 firms across 10 countries in the retail industry. To probe deeper into whether e-business use and value are influenced by economic environments, two subsamples from developed and developing countries are compared. The study finds that technology competence, firm size, financial commitment, competitive pressure, and regulatory support are important antecedents of e-business use. In addition, the study finds that, while both front-end and back-end capabilities contribute to e-business value, back-end integration has a much stronger impact. While front-end functionalities are becoming commodities, e-businesses are more differentiated by back-end integration. This is consistent with the resource-based theory because back-end integration possesses the value-creating characteristics of resources (e.g., firm specific, difficult to imitate), which are strengthened by the Internet-enabled connectivity. Our study also adds an international dimension to the innovation diffusion literature, showing that careful attention must be paid to the economic and regulatory factors that may affect technology diffusion across different countries.
A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study
Information Systems Research - Tập 14 Số 2 - Trang 189-217 - 2003
Wynne W. Chin, Barbara L. Marcolin, Peter R. Newsted
The ability to detect and accurately estimate the strength of interaction effects are critical issues that are fundamental to social science research in general and IS research in particular. Within the IS discipline, a significant percentage of research has been devoted to examining the conditions and contexts under which relationships may vary, often under the general umbrella of contingency theory (cf. McKeen et al. 1994, Weill and Olson 1989). In our survey of such studies, the majority failed to either detect or provide an estimate of the effect size. In cases where effect sizes are estimated, the numbers are generally small. These results have led some researchers to question both the usefulness of contingency theory and the need to detect interaction effects (e.g., Weill and Olson 1989). This paper addresses this issue by providing a new latent variable modeling approach that can give more accurate estimates of interaction effects by accounting for the measurement error that attenuates the estimated relationships. The capacity of this approach at recovering true effects in comparison to summated regression is demonstrated in a Monte Carlo study that creates a simulated data set in which the underlying true effects are known. Analysis of a second, empirical data set is included to demonstrate the technique's use within IS theory. In this second analysis, substantial direct and interaction effects of enjoyment on electronic-mail adoption are shown to exist.
Tổng số: 16   
  • 1
  • 2