Senior executives' use of information technology

https://doi.org/10.1016/S0950-5849(01)00197-5Get rights and content

Abstract

There is a paucity of literature focusing on the ingredients for effective top management, i.e. senior executives, use of Information Technology (IT). In practice, many senior executives argue that they do not see a connection between what IT does and their tasks as executives. Based on the Technology Acceptance Model (TAM), a research model was developed and tested to assess the factors that influence the use of IT by senior executives. A dedicated system supporting the task of a senior executive, an Executive Information System (EIS), was used as the IT tool under review. A large number of external variables were identified and hypothesized, influencing the core elements of TAM. To test the research model using structural equation modeling, cross-sectional data was gathered from eighty-seven senior executives drawn from twenty-one European-based multinationals. The results supported the core TAM and found only a small number of antecedent variables influencing actual use, either directly or indirectly. In addition to identifying the external factors, three of these key variables are under managerial control. They can be used to design organizational or managerial interventions that increase effective utilization of IT.

Introduction

The primary task of senior executives is to manage and control their business. As Mintzberg [28] indicates “In almost every serious study of managerial work the formal information — in other words, information capable of being processed in a computer — does not play a dominant role. Oral information — much of it too early or too ‘soft’ to formalize, such as gossip and hearsay — and even nonverbal information forms a critical part of every serious managerial job”. Davenport [8] argues as one of his ‘information facts of life’ that “managers prefer to get information from people rather than computers; people add value to raw information by interpreting it and adding context”. One could assume, therefore, that it would be in the interests of senior executives to receive adequate information for decision-making rather than be knowledgeable about Information Technology (IT), the main management information tool. Also, one could argue that senior executives need not be involved with how IT is used in an organization, but rather with its deployment.

Senior executives are constantly being told that IT is the key to the success of the business, yet the so-called IT productivity paradox leads managers to believe that investments in IT are reaching unprecedented levels with no commensurate increase in productivity. To measure whether IT investments deliver value, we must assume the technology is being adopted and properly used. Few organizations get full value from their IT investments, either because people have not learned how to use technology well or because managers have not been taught how to manage its benefits [31]. A reason for the poor return on IT investments could be the lack of senior executive involvement in using IT and its applications. Consequently, they have not been able to experience the benefits at first hand. As a result, attitudes remain unchanged.

It could be argued when investigating the acceptance and use of IT that senior executives do not warrant special attention, especially because they form only a small percentage of the total user population. However, recent studies indicate that these individuals should be treated differently [16], [22], [36]. What distinguishes senior executives' work in particular is the willingness to adopt and use IT, the role model position, the confidentiality and integrity of the information they have access to, and their external orientation, and, hence, the IT tools they require. Senior executives as a rule have limited time to make themselves familiar with all features of any of the information technologies. They are basically indifferent regarding the IT tool as long as they receive the information they need for their decision-making process. It is therefore likely that past studies aimed at assessing the factors that influence end-user adoption of IT, will not hold per se for these executives. Also, their position and role in the organization and the nature of their duties and social/organizational relationship differs from the other members of the company.

In spite of the interest in IT in recent years, little is known about the forces that influence its use or the factors determining senior executive resistance to IT [41].Most research of IT acceptance and use does not distinguish senior executives as a separate group. Moreover, to date, most studies use generic tools as word processors or e-mail systems as IT tools under review. This study sought to identify key factors and relationships likely to influence the use of IT by senior executives, in which IT is restricted to the role of a dedicated tool for senior executives, in other words an Executive Information System (EIS). An EIS was introduced as a support tool for senior executives at the beginning of the eighties. To make effective use of an EIS, managers must accept it, learn how to interact directly with aspects of the hardware and software, and adapt it to their requirements.

The study had a number of objectives:

  • 1.

    What are the major factors that influence senior executives' use of IT, and in particular an EIS?

  • 2.

    Which of these factors influence the actual use of an EIS, either directly or indirectly through user beliefs and attitude?

  • 3.

    Is there a parsimonious model to predict senior executives' use of IT?

Grounded in a well-established theory, the study used a heterogeneous sample of multinational companies that can be expected to have ample experience with IT. Investigating the antecedents of IT acceptance and use will help in identifying what interventions are required to increase the use of IT. Effective and increased use of managerial IT tools will give senior executives improved access to better information, leading in turn to more effective decision-making in their jobs.

The remainder of this paper is organized as follows. Section 2 begins with an elucidation of the Technology Acceptance Model. This will be followed by the research model and hypotheses, which are based on the TAM. Then the methodology of the study is described, followed by the results of our analysis. Section 2 introduces a practical application of the results. Finally, the paper ends with a discussion and conclusion.

Section snippets

The Technology Acceptance Model

Different models have been used over the last ten to twenty years as a basis for investigating the acceptance and use of IT. The most salient models include the Innovation diffusion theory [29], [33], the Theory of Reasoned Action (TRA, [3], [13]), and the TAM, [9], [11]. Of these models, the TAM (Fig. 1), originally developed by Davis [9] to predict computer-usage behavior, has emerged as a powerful model. The goal of TAM is to provide an explanation of general determinants of computer

Research model and hypotheses

The focus of this study is exclusively on senior executives and their use of an EIS. In the available literature on TAM studies, a few studies [1], [16], [20], [21], [22], [23] targeted senior executives, next to other user groups, in their user populations. Based on the original TAM the theoretical research model is presented in (Fig. 2). The major difference with the original TAM is the exclusion of one variable-behavioral intention to use — from the research model. The constituent TAM model

Sample and procedure

This section describes the research method used to test the research model and hypotheses. The research approach seeks to justify its appropriateness in the context of the study. The following characteristics describe the research process. The study used descriptive and exploratory methods to investigate and evaluate the factors influencing executives' use of IT, as well as an explanatory method to achieve a parsimonious model for investigating relationships between different aspects of the

Measurement model

Initial screening indicated that the data were normally distributed, outliers were not detected, and the sample size was slightly above the recommended value [17]. Furthermore, initial data screening led to four constructs being dropped from the model to be tested, due to variance and correlation concerns. The dependent variable, system use, indicated a major concern. A significant negative correlation exists between the usage frequency and the usage amount for the population under review.

Practical application

Based upon the results of the study, a new model was built that can predict how senior executives will use IT. The model should help to identify what interventions are required to increase the use of IT. Effective and increased use of managerial IT tools will give senior executives improved access to better information, leading in turn to more effective decision-making in their jobs. In the evaluation on which variables and relationships, described in Table 4, should be included in the model,

Discussion

To our knowledge, no previous study has ever targeted the combination of senior executives, a dedicated IT tool for these managers, factors influencing IT use, and the application of a robust theoretical model. In this study, a research model was used to identify key factors and relationships likely to influence the acceptance and usage of IT by senior executives. The results support the theory that the link between the two beliefs and attitude as well as between attitude and actual usage is

Conclusion

The study results provide support for the core TAM model as an adequate and parsimonious conceptualization of acceptance behavior and the salience of usefulness and ease of use beliefs. However, where TAM assumes that the influence of external variables on use is channeled through the two beliefs, this research study also found variables that directly influence attitude and use. Perhaps the most significant finding is the key role perceived fun/enjoyment plays as an external variable in

Acknowledgements

This article is based on a PhD dissertation study conducted by the first author. A full copy of the thesis is available through his personal web site (www.guuspijpers.com).

Guus G.M. Pijpers is the Chief Information Officer (CIO) at Philips Electronics in Eindhoven, the Netherlands. Previously he worked as an Information Manager, IT Auditor and Management Consultant at Akzo Nobel, KPMG and Philips Electronics, respectively. He received his Ph.D. in Management Science and Computer Science from Eindhoven University of Technology, the Netherlands, in 2001. He holds a Master Degree in Management Science and a Master Degree in Computer Science from the Open University,

References (44)

  • W.W. Chin

    Issues and opinions on structural equation modeling

    MIS Quarterly

    (1998)
  • D.R. Compeau et al.

    Computer self-efficacy: development of a measure and initial test

    MIS Quarterly

    (1995)
  • T.H. Davenport

    Saving IT's soul: human-centered information management

    Harvard Business Review

    (1994)
  • F.D. Davis

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

    MIS Quarterly

    (1989)
  • F.D. Davis et al.

    User acceptance of computer technology: a comparison of two theoretical models

    Management Science

    (1989)
  • F.D. Davis et al.

    Extrinsic and intrinsic motivation to use computers in the workplace

    Journal of Applied Social Psychology

    (1992)
  • M. Fishbein et al.

    Belief, attitude, intention, and behavior: an introduction to theory and research

    (1975)
  • D. Gefen et al.

    Structural equation modeling and regression: guidelines for research practice

    Communications of the Association for Information Systems

    (2000)
  • N.A. Gershenfeld

    When things start to think

    (1999)
  • J.F. Hair et al.

    Multivariate data analysis with readings

    (1998)
  • J. Hartwick et al.

    Explaining the role of user participation in information system use

    Management Science

    (1984)
  • Cited by (102)

    • Acceptance of text-mining systems: The signaling role of information quality

      2020, Information and Management
      Citation Excerpt :

      Perceived usefulness has a positive effect on usage intentions. Previous studies emphasize how top management support can increase the incorporation of technology into business processes, which facilitates system adoption and usage [37,61–64]. Furthermore, top management support has a critical influence on market orientations [65,66], such that it can highlight the importance of being responsive to customers’ needs.

    • Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking

      2016, Journal of Business Research
      Citation Excerpt :

      Gender is one of the most studied consumer demographics in the electronic services context. The earlier literature suggests that men perceive online business activities as less risky (Garbarino & Strahilevitz, 2004) and view mobile commerce more positively than women (Pijpers, Bemelmans, Heemstra, & van Montfort, 2001). Some studies show a predominance of men among users of mobile banking services (Garbarino & Strahilevitz, 2004; Laukkanen & Pasanen, 2008).

    • The assimilation of RFID technology by Chinese companies: A technology diffusion perspective

      2015, Information and Management
      Citation Excerpt :

      Hence, competition intensity likely plays a role in RFID assimilation in China. According to Wong [72], [49], since 1979, China's economic reforms toward a market economy have promoted more trade and encouraged more foreign direct investment (FDI). These incremental trades and FDIs contribute to China's economic growth.

    View all citing articles on Scopus

    Guus G.M. Pijpers is the Chief Information Officer (CIO) at Philips Electronics in Eindhoven, the Netherlands. Previously he worked as an Information Manager, IT Auditor and Management Consultant at Akzo Nobel, KPMG and Philips Electronics, respectively. He received his Ph.D. in Management Science and Computer Science from Eindhoven University of Technology, the Netherlands, in 2001. He holds a Master Degree in Management Science and a Master Degree in Computer Science from the Open University, the Netherlands. His work, interests and research focuses on the use of information and Information Technology by higher management levels in an organization as well as the adoption, use, and effects of e-business on business processes and organizational entities.

    Theo M.A. Bemelmans is already more than 20 years full professor at the Eindhoven University of Technology. Before he was invited for a chair in Management Information Systems, he worked as a controller and information manager at Oce Van der Grinten, a large international firm in copying machinery and services. Actually, he also acts part time as a quality manager in a highly qualified auditing agency for large governmental systems (The Expertise Center at The Hague).

    Fred J. Heemstra is a full professor in Management Science and Computer Science at the Open University, the Netherlands. From 1994 until 2000 he was the Dean of the department of Economics, Business and Public Administration. Previously he worked at Twente University, Eindhoven University of Technology, Polytech Brabant and as a management consultant at Infoligic and Vreelandgroup. Heemstra holds a Master Degree and a PhD degree in Industrial Engineering from Eindhoven University of Technology. His work, interests and research focuses on Management of IT, particularly IT Risk Management, Software Management, IT Cost Benefit Management, Software Cost Estimation and Control, Software Quality Management, Software Requirement Management, IT Project Management and Information Economics.

    Kees A.G.M. van Montfort is an associate professor at the Free University in Amsterdam, the Netherlands. His lectures and research are in the field of applied statistics and research methodology.

    1

    Tel.: +31-40-247-2290; fax: +31-40-243-2612.

    2

    Tel.: +31-45-576-2589; fax: +31-45-576-2103.

    3

    Tel.: +31-20-444-6028; fax: +31-20-444-6020.

    View full text