Are Individual Differences Germane to the Acceptance of New Information Technologies?

Persuading users to adopt new information technologies persists as an important problem confronting those responsible for implementing new information systems. In order to better understand and manage the process of new technology adoption, several theoretical models have been proposed, of which the technology acceptance model (TAM) has gained considerable support. Beliefs and attitudes represent significant constructs in TAM. A parallel research stream suggests that individual difference factors are important in information technology acceptance but does not explicate the process by which acceptance is influenced. The objective of this paper is to clarify this process by proposing a theoretical model wherein the relationship between individual differences and IT acceptance is hypothesized to be mediated by the constructs of the technology acceptance model. In essence then, these factors are viewed as influencing an individual's beliefs about an information technology innovation; this relationship is further supported by drawing upon extensive research in learning. The theoretical model was tested in an empirical study of 230 users of an information technology innovation. Results confirm the basic structure of the model, including the mediating role of beliefs. Results also identify several individual difference variables that have significant effects on TAM's beliefs. Theoretical contributions and practical implications that follow are discussed.     

Explaining information technology usage: A test of competing models

While much of the prior information technology (IT) research has attempted to explain users’ acceptance of new IT, recent research has focused on IT continuance or continued usage. The technology acceptance model (TAM) and the expectation–disconfirmation theory (EDT) are currently the dominant referent theoretical frameworks explaining user acceptance and continuance of IT, respectively. However, no study to date has yet empirically compared the relative ability of the two competing theories in explaining IT continuance intention. This paper fills this gap in the literature by comparing the explanatory ability of the two models via a longitudinal study of computer-based tutorial usage. Our findings confirm that both models have good explanatory power with the TAM providing a better prediction of intention. An integrated model, combining TAM and EDT, provided a marginally better explanatory power.     

Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis

As key components of Davis's technology acceptance model (TAM), the perceived usefulness and perceived ease-of-use instruments are widely accepted among the MIS research community as tools for evaluating information system applications and predicting usage. Despite this wide acceptance, a series of incremental cross-validation studies have produced conflicting and equivocal results that do not provide guidance for researchers or practitioners who might use the TAM for decision making. Using a sample of 902 “initial exposure” responses, this research conducts: (1) a confirmatory factor analysis to assess the validity and reliability of the original instruments proposed by Davis, and (2) a multigroup invariance analysis to assess the equivalence of these instruments across subgroups based on type of application, experience with computing, and gender. In contrast to the mixed results of prior cross-validation efforts, the results of this confirmatory study provide strong support for the validity and reliability of Davis's sixitem perceived usefulness and six-item ease-of-use instruments. The multigroup invariance analysis suggests the usefulness and ease-of-use instruments have invariant true scores across most, but not all, subgroups. With notable exemptions for word processing applications and users with no prior computing experience, this research provides evidence that the item-factor loadings (true scores) are invariant across spread sheet, database, and graphic applications. The implications of the results for managerial decision making are discussed.     

A conceptual model for the process of IT innovation adoption in organizations

In this paper, we develop a conceptual model for IT innovation adoption process in organizations. The model utilizes Diffusion of Innovation (DOI) theory, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and a framework that contains characteristics of innovation, organization, environment, chief executive officer (CEO) and user acceptance. The model presents IT adoption as a sequence of stages, progressing from initiation to adoption-decision to implementation. The study presents a model with an interactive process perspective which considers organizational level analysis until acquisition of technology and individual level analysis for the user acceptance of IT.     

Building a Model of Technology Preference: The Case of Channel Choices

Intention theories, such as the Theory of Reasoned Action, the Theory of Planned Behavior, and the Technology Acceptance Model (TAM), have been widely adopted to explain information system usage. These theories, however, do not explicitly consider the availability of alternative systems that users may have access to and may have a preference for. Recent calls for advancing knowledge in technology acceptance have included the examination of selection among competing channels and extending the investigation beyond adoption of a single technology. In this study, we provide a theoretical extension to the TAM by integrating preferential decision knowledge to its constructs. The concept of Attitude‐Based Preference and Attribute‐Based Preference are introduced to produce a new intention model, namely the Model of Technology Preference (MTP). MTP was validated in the context of alternative behaviors in adopting two service channels: one a technology‐based online store and the other a traditional brick‐and‐mortar store. A sample of 320 responses was used to run a structural equation model. Empirical results show that MTP is a powerful predictor of alternative behaviors. Furthermore, in the context of service channel selection, incorporating preferential decision knowledge into intention models can be used to develop successful business strategies.     

User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model

Building on recent unique, yet potentially complementary, approaches to understanding the formation of user perceptions about technology (Venkatesh, 1999; Venkatesh & Speier, 1999), the present work reanalyzes the data from both studies to develop an integrated model of technology acceptance. The integrated model specifically examines the influence of pre‐training and training environment interventions (termed user acceptance enablers) to understand how user perceptions are formed prior to system implementation. The model is then further extended and tested using longitudinal data in a field setting. The results indicate that the integrated model emerged as a better predictor of user behavior when compared to the existing models.     

Acceptance of automation manufacturing technology in China: an examination of perceived norm and organizational efficacy

Abstract

With a shift to more automation technology, social acceptance of technology plays an important role in the manufacturing sector. To what extent this occurs, and affects the adoption of technology, has been less researched, but is important in deciding how such technology is introduced, and the nature of the shift from labour-intensive manufacturing to automation. This research applies the revised technology acceptance model (TAM) to examine the impact of social and individual antecedents on the acceptance of automation manufacturing technology. Survey data are collected from 258 Chinese manufacturers. Results suggest that perceived norms significantly affect organizational intention to use automation manufacturing technology both directly and via perceived usefulness; organizational efficacy explains the intention to use via mediating effect of perceived usefulness and perceived ease of use. This research is one of the first extending and applying TAM from individuals to organizations.     

Public Perceptions of the Risks and Benefits of Technology1

This study attempted to verify and extend previous research on people's perceptions of the risks and benefits of technology and their judgments concerning the acceptability of technology safety regulations. The study addressed several limitations of prior work, in that: (1) it was the first “expressed-preference” study to collect data from large, representative samples of Americans; (2) the research design made “person,” rather than “technology,” the unit of statistical analysis; and (3) the study employed an expanded set of independent variables, including three qualitative benefit characteristics. The results confirmed several major conclusions of prior expressed-preference research, the most important being that members of the public tend to define “risks,”“benefits,” and “acceptability” in a complex, multidimensional manner; and that their definitions differ significantly from those used by professional risk-managers and other technical experts in quantitative assessments of risk and acceptability. The results also indicated that people's stances toward technology regulation tend to cut across traditional sociodemographic lines.     

Technology Acceptance Model 3 and a Research Agenda on Interventions

Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre‐ and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations.     

Preparing for business model change: the “pre-stage” finding

The purpose of this paper is to investigate managers’ initiatives in the context of an emergent technology and their effect on the business models of firms. Building on four case studies of organizations interested in using an emergent technology for commercial purposes, this study applies a process-based framework of business model change. The main finding is that managers’ initiatives occur in the context of a “pre-stage” of potential business model change, which includes processes of experimenting and learning. The pre-stage finding gives a better understanding of when change initiatives affect a business model and when they do not, allowing managers to adopt a more proactive behaviour and guide their organizations towards effective business model change. The main contribution of this paper is to suggest the inclusion of the pre-stage idea in research and practice, since it is an intermediary step in the process of business model change that has been overlooked.     

Understanding the Role of Individual Innovativeness in the Acceptance of IT‐Based Innovations: Comparative Analyses of Models and Measures*

As new technological innovations are rapidly introduced and changed, identifying an individual characteristic that has a persistent effect on the acceptance decisions across multiple technologies is of substantial value for the successful implementation of information systems. Augmenting prior work on individual innovativeness within the context of information technology, we developed a new measure of adopter category innovativeness (ACI) and compared its effectiveness with the existing measure of personal innovativeness in IT (PIIT). Further, we examined two alternative models in which the role of individual innovativeness was theorized differently—either as a moderator of the effects the perceived innovation characteristics of usefulness, ease of use, and compatibility have on future use intention (moderator model) or as a direct determinant of the innovation characteristics (direct determinant model). To ensure the generalizability of the study findings, two field studies (N= 634) were conducted, each of which examined the two models (moderator and direct determinant) and measured individual innovativeness using the two measures (ACI and PIIT). Study 1 surveyed the online buying practices of 412 individuals, and Study 2 surveyed personal digital assistant adoption of 222 healthcare professionals. Across the markedly different adoption contexts, the study results consistently show that individual innovativeness is a direct determinant of the innovation characteristics, and the two measures share many commonalities. The new measure offers some additional utilities not found in the PIIT measure by allowing individuals to be directly classified and mapped into adopter categories. Implications are drawn for future research and practice.     

Technology Use and Performance: A Field Study of Broker Workstations*

Organizations invest in technology with the expectation that it will contribute to performance, and members of the organization must use technology for it to make a contribution. For this reason, it is important for managers and designers to understand and predict system use. This paper develops a model of workstation use in a field setting where the use of the system is an integral part of the user's job. The model is based on the Technology Acceptance Model (TAM), which we extended to include social norms, user performance, and two control variables. Brokers and sales assistants in the privateclient group of a major investment bank provided data to test our extended model. The core perception variables in TAM do not predict use in this study. Social norms and one's job requirements are more important in predicting use than workers' perceptions about ease of use and usefulness. The paper discusses the implications of these findings and suggests directions for future research.     

A Model of the Antecedents of Perceived Ease of Use: Development and Test*

The Technology Acceptance Model (TAM) has been widely used to predict user acceptance and use based on perceived ease of use and usefulness. However, in order to design effective training interventions to improve user acceptance, it is necessary to better understand the antecedents and determinants of key acceptance constructs. In this research, we focus on understanding the determinants of perceived ease of use. Data from three experiments spanning 108 subjects and six different systems supported our hypothesis that an individual's perception of a particular system's ease of use is anchored to her or his general computer self-efficacy at all times, and objective usability has an impact on ease of use perceptions about a specific system only after direct experience with the system. In addition to being an important research issue in user acceptance research, understanding antecedents of perceived ease of use is also important from a practical standpoint since several systems in which millions of dollars are invested are rejected because of poor user interfaces. Moreover, the actual underlying problem might be low computer self-efficacy of the target user group. In such cases, training interventions aimed at improving computer self-efficacy of users may be more effective than improved interface design for increasing user acceptance.     

Continued usage of technology versus situational factors: An empirical analysis

Mainstream technology management literature suggests that research on continued usage of technology is largely based on two perspectives, namely (i) a forward-looking perspective that underpins the technology acceptance model (TAM), and (ii) a retrospective perspective that is based on the expectation disconfirmation theory (EDT). We propose an extended framework to re-examine continued usage of technology by combining these two perspectives and incorporating individual, social and environmental factors as additional variables. Our study, in the context of users’ continued usage of e-learning tools, reveals that in addition to user satisfaction and perceived usefulness, self-efficacy, system service support and social pressure are significant factors that affect continued usage of technology. Our findings enrich the theoretical framework of continued usage of technology, and provide e-learning developers with managerial insights on how to entice learners to continue using their e-learning tools.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

FIELD EXPERIMENTS WHICH COMPARED THE EFFECTIVENESS OF DESIGN METHODS*

The influence of “method” on the design of services was investigated in three organizational settings. Models of “Systems,”“Behavioral,” and “Heuristic” design approaches were used to plan several service programs. These plans were compared using measures of their “quality,”“acceptance,” and “innovation.” Service plans designed by the Systems approach were found to have high quality (p < .05), and service plans designed by the Behavioral approach were found to be innovative (p < .05). These findings are employed to provide guides to select a Design Method and to suggest some research issues.     

From primacy to purpose commitment: How emerging profit-with-purpose corporations open new corporate governance avenues

This paper aims at contributing to corporate governance theory by developing a model of governance that takes into account a recent legal innovation: the introduction of purpose-driven legal business forms in the corporate law of several countries. Current debates in such theory oppose models that grant “primacy” (i.e., ultimate control rights) to different constituencies. The resulting uncertainty proves problematic in the face of new, urgent social and environmental stakes that are difficult to represent in traditional governance bodies. Newly adopted profit-with-purpose corporate forms' introduction of a “purpose” in corporate contracts renews these debates. We show that through the “purpose commitment” model it enables, the distribution of control rights in the governance system is decoupled from the objectives assigned to the corporation. This new approach renews the formal role of management, and corporations’ accountability to society. We explore the theoretical, practical, and political consequences of this new model.     

The wider implications of business-model research

Business-model research has struggled to develop a clear footprint in the strategic management field. This introduction to the special issue on the wider implications of business-model research argues that part of this struggle relates to the application of five different perspectives on the term “business model,” which creates ambiguity about the conceptual boundaries of business models, the applied terminology, and the potential contributions of business-model research to strategic management literature. By explicitly distinguishing among these five perspectives and by aligning them into one overarching, comprehensive framework, this paper offers a foundation for consolidating business-model research. Furthermore, we explore the connections between business-model research and prominent theories in strategic management. We conclude that business-model research is not necessarily a “theory on its own” and that it can be more fruitfully understood as a theoretical mechanism for combining different literature streams. As such, business-model research is positioned as a central connecting component in the further development of the strategic management field.     

Startups internationalizing in quest of a business model: The global prospecting of process niche firms

This paper examines technology startups whose initial offering is not a tangible product or service, but rather a technology used in the production process of goods and services of other firms. These “process niche firms,” as we call them, represent an emerging and increasingly common feature of the digitized economy. As part of their search for a suitable business model – be it products, services, and/or outright licensing of intellectual property – process niche firms engage in early internationalization in order to gain relevant market knowledge and identify possible business partners. A framework is derived to examine the internationalization pattern of such firms. The paper draws on four illustrative case studies providing insight into how such process niche firms “prospect” in foreign markets prior to deciding on the business model that suits them best. Early in their life cycle, process niche firms may decide to locate their headquarters in a different country in closer proximity to relevant markets and partners, as their high knowledge intensity and dearth of tangible assets makes them highly movable. Later in their development, process niche firms will likely evolve into other types of firms, depending on the business model they ultimately choose and the process that they follow.