Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

Perceived usefulness, perceived ease of use, and user acceptance of information technology

Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.

User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

A key concern in Information Systems (IS) research has been to better understand the linkage between information systems and individual performance. The research reported in this study has two primary objectives: (1) to propose a comprehensive theoretical model that incorporates valuable insights from two complementary streams of research, and (2) to empirically test the core of the model. At the heart of the new model is the assertion that for an information technology to have a positive impact on individual performance, the technology: (1) must be utilized and (2) must be a good fit with the tasks it supports. This new model is moderately supported by an analysis of data from over 600 individuals in two companies. This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology. It also suggests that task-technology fit when decomposed into its more detailed components, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.

https://www.jstor.org/stable/pdfplus/249689.pdf

Task-technology fit and individual performance

We develop and test a theoretical model to investigate the assimilation of enterprise systems in the post-implementation stage within organizations. Specifically, this model explains how top management mediates the impact of external institutional pressures on the degree of usage of enterprise resource planning (ERP) systems. The hypotheses were tested using survey data from companies that have already implemented ERP systems. Results from partial least squares analyses suggest that mimetic pressures positively affect top management beliefs, which then positively affects top management participation in the ERP assimilation process. In turn, top management participation is confirmed to positively affect the degree of ERP usage. Results also suggest that coercive pressures positively affect top management participation without the mediation of top management beliefs. Surprisingly, we do not find support for our hypothesis that top management participation mediates the effect of normative pressures on ERP usage, but instead we find that normative pressures directly affect ERP usage. Our findings highlight the important role of top management in mediating the effect of institutional pressures on IT assimilation. We confirm that institutional pressures, which are known to be important for IT adoption and implementation, also contribute to post-implementation assimilation when the integration processes are prolonged and outcomes are dynamic and uncertain.

/pdf/assimilation-of-enterprise-systems-the-effect-of-4bilo1zpw7.pdf

Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management

The aim of this research essay is to examine the structural nature of theory in Information Systems. Despite the importance of theory, questions relating to its form and structure are neglected in comparison with questions relating to epistemology. The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory. A taxonomy is proposed that classifies information systems theories with respect to the manner in which four central goals are addressed: analysis, explanation, prediction, and prescription. Five interrelated types of theory are distinguished: (1) theory for analyzing, (2) theory for explaining, (3) theory for predicting, (4) theory for explaining and predicting, and (5) theory for design and action. Examples illustrate the nature of each theory type. The applicability of the taxonomy is demonstrated by classifying a sample of journal articles. The paper contributes by showing that multiple views of theory exist and by exposing the assumptions underlying different viewpoints. In addition, it is suggested that the type of theory under development can influence the choice of an epistemological approach. Support is given for the legitimacy and value of each theory type. The building of integrated bodies of theory that encompass all theory types is advocated.

/pdf/the-nature-of-theory-in-information-systems-29dmwomevf.pdf

The nature of theory in information systems

Many EDI researchers and practitioners have recognized the importance of high penetration levels for the success of EDI. Unfortunately, such penetration is partly impeded by the resistance of small companies to become EDI capable. To investigate this issue, we identify three major factors that influence the EDI adoption practices of small firms. These factors are: organizational readiness (because of the low levels of IT sophistication and resource availability of small firms), external pressures to adopt (because of the weak market positions of small firms and the network nature of the technology), and perceived benefits (because of the limited impact that IT has on small firms due to under-utilization and lack of integration). By combining the anticipated effects of these factors, we developed a framework of EDI adoption by small businesses. The applicability of this framework is empirically demonstrated using the results of seven case studies. Lastly, recommendations are made for the development of successful EDI partner expansion plans. These include the development of a long term EDI partner expansion plan from the very beginning, the individual assessment of each partner's EDI preparedness level, and the selection of appropriate influence tactics to expedite adoption by small partners. Specifically, it is suggested that EDI initiators pursue promotional efforts to improve partners' perceptions of EDI benefits, provide financial and technological assistance to partners with low organizational readiness, and carefully select and enact influence strategies to reduce resistance.

Electronic data interchange and small organizations: adoption and impact of technology

This paper is the first test of a parsimonious model that posits three factors as determinants of the adoption of electronic data interchange (EDI):readiness, perceived benefits, andexternal pressure. To construct the model, we identified and organized the factors that were found to be influential in prior EDI research. By testing all these factors together in one model, we are able to investigate their relative contributions to EDI adoption decisions. Senior purchasing managers, chosen for their experience with EDI and proximity to the EDI adoption decision, were surveyed and their responses analyzed using structural equation modeling. All three determinants were found to be significant predictors of intent to adopt EDI, with external pressure and readiness being considerably more important than perceived benefits. We show that the constructs in this model can be categorized into three levels:technological, organizational, andinterorganizational. We hypothesize that these categories of influence will also be determinants of the adoption of other emerging forms of interorganizational systems (IOS). 1

Research Report: Empirical Test of an EDI Adoption Model

A laboratory experiment was conducted to assess the influence of graphical and color-enhanced information presentation on decision quality, decision-making time and user perceptions of information systems attributes. The experimental design examined the main and interaction effects of report format, color, and individual differences field dependence/independence among the subjects. The findings indicate that the claims made about the benefits of color-enhanced reports are subject to qualification. Even though color influenced decision-making quality in general, and to some extent color was more beneficial for graphical than tabular reports, its most significant impact was on the performance of field-dependents. The decision-making quality of field-dependents with color-enhanced reports was 73% better than field-dependents who did not have such reports. There were no performance differences between subjects who used tabular and graphical reports. This outcome is explained by taking into consideration the underlying nature of the task given to the subjects and how the reports were organized to support this task. This finding suggests that proponents of graphical presentation must qualify their claims to environments where there is a clearly defined rationale for the potential benefits of graphical report usage.

An Experimental Evaluation of Graphical and Color-Enhanced Information Presentation

This article presents the results of a study which analyzes skills perceived as useful by information systems (IS) managers and systems analysts in IS organizations of different levels of maturity. These IS skills were examined under two major subgroups of generalist/managerial and specialist/technical skills as well as under more detailed categories of organizations, people, society, systems, computers, and models skills. Generalist, i.e., organizational and people skills, were rated highest. Based on these rankings, which deviated little between managers and analysts and across the maturity spectrum, recommendations concerning graduate IS curriculum are suggested.

Impact of organizational maturity on information system skill needs

A laboratory experiment was conducted to assess the influence of color and information presentation differences on user perceptions and decision making under varying time constraints. Three different information presentations were evaluated: tabular, graphical, and combined tabular-graphical. Tabular reports led to better decision making and graphical reports led to faster decision making when time constraints were low. The combined report, which integrated the advantages associated with both tabular and graphical presentation, was the superior report format in terms of performance ad was rated very highly by decision makers. Color led to improvements in decision making; this was especially pronounced when high time constraints were present.

Albert S. Dexter

Papers

Electronic data interchange and small organizations: adoption and impact of technology

Research Report: Empirical Test of an EDI Adoption Model

An Experimental Evaluation of Graphical and Color-Enhanced Information Presentation

Impact of organizational maturity on information system skill needs

An investigation of the effectiveness of color and graphical information presentation under varying time constraints