Perceived Usefulness, Perceived Ease of Use, and User

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 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.

Information Systems Success: The Quest for the Dependent Variable

Previous research indicates that perceived usefulness is a major determinant and predictor of intentions to use computers in the workplace. In contrast, the impact of enjoyment on usage intentions has not been examined. Two studies are reported concerning the relative effects of usefulness and enjoyment on intentions to use, and usage of, computers in the workplace. Usefulness had a strong effect on usage intentions in both Study 1, regarding word processing software (β=.68), and Study 2, regarding business graphics programs (β=.79). As hypothesized, enjoyment also had a significant effect on intentions in both studies, controlling for perceived usefulness (β=.16 and 0.15 for Studies 1 and 2, respectively). Study 1 found that intentions correlated 0.63 with system usage and that usefulness and enjoyment influenced usage behavior entirely indirectly through their effects on intentions. In both studies, a positive interaction between usefulness and enjoyment was observed. Together, usefulness and enjoyment explained 62% (Study 1) and 75% (Study 2) of the variance in usage intentions. Moreover, usefulness and enjoyment were found to mediate fully the effects on usage intentions of perceived output quality and perceived ease of use. As hypothesized, a measure of task importance moderated the effects of ease of use and output quality on usefulness but not on enjoyment. Several implications are drawn for how to design computer programs to be both more useful and more enjoyable in order to increase their acceptability among potential users.

Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1

In an era of revolutionary new developments in basic information technology, innovation in its employment among organizations is increasingly crucial to competitive survival and success. The Information Systems (IS) unit within the business is largely responsible for meeting this challenge. Yet, current theory explains little about IS innovation and its role in organizational innovation in general. We suggest some needed foundations. IS innovations are posited to be of three types: Type I innovations confined to the IS task; Type II innovations supporting administration of the business; and Type III innovations imbedded in the core technology of the business. Diffusion among organizations is conjectured to occur by means of a communication circuit in which each IS unit is linked to its professional and business environments. Systematic differences in adoption and evolution patterns among IS innovation types are expected. Three specific IS innovations—data administration, the information center, and materi...

https://www.jstor.org/stable/pdfplus/2661474.pdf

Information systems innovation among organizations

We offer a revised institutional view of how new technology for information systems (IS) comes to be applied and diffused among organizations. Previous research argues that early adoption of a technological innovation is based on local, rational organizational choice, while later adoption is institutionalized and taken for granted. We suggest that institutional processes are engaged from the beginning. Specifically, a diverse interorganizational community creates and employs an organizing vision of an IS innovation that is central to its early, as well as later, diffusion. This vision serves key functions in interpretation, legitimation, and the organization and mobilization of economic roles and exchanges. The development and influence of an organizing vision is determined by a variety of institutional forces. Among these forces, the community's discourse serves as the developmental engine. Other factors—business commerce, the IS practitioners' world view, the motivating business problematic, the core te...

The Organizing Vision in Information Systems Innovation

Software maintenance management

Although organizational innovation with information technology is often carefully considered, bandwagon phenomena indicate that much innovative behavior may nevertheless be of the "me too" variety. In this essay, we explore such differences in innovative behavior. Adopting a perspective that is both institutional and cognitive, we introduce the notion of mindful innovation with IT. A mindful firm attends to an IT innovation with reasoning grounded in its own organizational facts and specifics. We contrast this with mindless innovation, where a firm's actions betray an absence of such attention and grounding. We develop these concepts by drawing on the recent appearance of the idea of mindfulness in the organizational literature, and adapting it for application to IT innovation. We then bring mindfulness and mindlessness together in a larger theoretical synthesis in which these apparent opposites are seen to interact in ways that help to shape the overall landscape of opportunity for organizational innovation with IT. We conclude by suggesting several promising new research directions.

Innovating mindfully with information technology

Failures in the implementation of management information systems “MIS's” can be attributed in part to a lack of managerial “involvement” and “appreciation.” The concepts of involvement and appreciation are defined, and their measurement in a real-world research setting is presented. The testing of several hypotheses in this setting indicates that managers who involve themselves with the MIS will appreciate the system, and that managers who are uninvolved will be unappreciative.

https://www.jstor.org/stable/pdfplus/2629678.pdf

E. Burton Swanson

Papers

Information systems innovation among organizations

The Organizing Vision in Information Systems Innovation

Software maintenance management

Innovating mindfully with information technology

Management Information Systems: Appreciation and Involvement