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Technology Policy, Task Uncertainty and Organisational Performance

Published online by Cambridge University Press:  18 September 2015

Alan S. Dunk  and
Saeed J. Roohani
Alan S. Dunk
Affiliation:
School of Accounting, University of Western Sydney, Nepean, PO Box 10 Kingswood NSW 2747, Tel: +61 2 9685 9216, Email: [email protected]
Saeed J. Roohani
Affiliation:
Department of Accounting, Bryant College, 1150 Douglas Pike, Smithfield RI 02917-1284, USA Tel: 1 401 232 6168, Email: [email protected]
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Abstract

Factors influencing organisational performance have attracted attention, both in the literature and in practice, as a means of responding to increasing market competition. One factor that may enhance performance is a technology policy and a number of organisations have implemented such policies. Technology policy proponents argue that a society's capacity for sustained technological innovation is crucial to its economic well being. The primary purpose of the present paper is to investigate the extent to which organisational performance is influenced by the use of a technology policy. Since the literature suggests that task difficulty and task variability may influence this relationship, the paper also examines these relationships. The results suggest there is an association between technology policy and performance and that this relation is influenced by task difficulty, but not task variability. The relationship between technology policy and performance seems to greater when task difficulty is high than it is when task difficulty is low.

Keywords

• Technology policy• Organisational performance• Task difficulty• Task variability
Type
Research Article
Information
Journal of Management & Organization , Volume 4 , Issue 1 , January 1998 , pp. 1 - 13
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 1998

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References

REFERENCES

Alexander, JW and Randolph, WA (1985) ‘The Fit Between Technology and Structure As A Predictor of Performance in Nursing Subunits’ Academy of Management Journal Vol 28 No 4 pp 844–859Google ScholarPubMed
Allison, PD (1977) ‘Testing for Interaction in Multiple Regression’ American Journal of Sociology 07 pp 144–153CrossRefGoogle Scholar
Andros, DP, Cherrington, JO and Denna, EL (1992) ‘Reengineering Your Accounting, the IBM Way’ Financial Executive 07/August pp 28–31Google Scholar
Anthony, RA, Dearden, JD and Bedford, NT (1984) Management Control Systems Homewood: IrwinGoogle Scholar
Bernstein, JI and Nadiri, MI (1989) ‘Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality’ Review of Economic Studies Vol 56 pp 249–269CrossRefGoogle Scholar
Bohn, RE (1994) ‘Measuring and Managing Technological Knowledge’ Sloan Management Review Fall pp 61–73Google Scholar
Branscomb, LM (1992) ‘Does America Need A Technology Policy?’ Harvard Business Review 03/April pp 24–31Google Scholar
Bromwich, M (1990) ‘The Case for Strategic Management Accounting: The Role of Accounting Information for Strategy in Competitive Markets’ Accounting, Organizations and Society Vol 15 No 1/2 pp 27–46CrossRefGoogle Scholar
Brownell, P and Dunk, AS (1991) ‘Task Uncertainty and its Interaction with Budgetary Participation and Budget Emphasis: Some Methodological Issues and Empirical Investigation’ Accounting, Organizations and Society Vol 16 No 8 pp 693–703CrossRefGoogle Scholar
Carmines, EG and Zeller, RA (1982) Reliability and Validity Assessment Beverly Hills: SageGoogle Scholar
Cockburn, I and Griliches, Z (1988) ‘Industry Effects and Appropriability Measures in the Stock Market's Valuation of R&D and Patents’ American Economic Review Vol 78 No 2 pp 410–423Google Scholar
Coy, P (1992) ‘The New Realism in Office Systems: Computers Can't Take the Place of Good Management — But They Help’ Business Week 06 15 pp 128–133Google Scholar
Cronbach, LJ (1951) ‘Coefficient Alpha and the Internal Structure of Tests’ Psychometrika Vol 16 pp 297–334CrossRefGoogle Scholar
Daft, RL (1978) ‘A Dual-core Model of Organizational Innovation’ Academy of Management Journal 06 pp 193–210Google Scholar
Daft, RL (1983) Organization Theory and Design St Paul: WestGoogle Scholar
Daft, RL and Macintosh, NB (1981) ‘A Tentative Exploration Into the Amount and Equivocality of Information Processing in Organizational Work Units’ Administrative Science Quarterly Vol 26 pp 207–224CrossRefGoogle Scholar
Davis, LE (1983–1984) ‘Workers and Technology: The Necessary Joint Basis for Organizational Effectiveness' National Productivity Review Winter pp 7–14Google Scholar
Ettlie, JE (1983a) ‘Organizational Policy and Innovation Among Suppliers to the Food Processing Sector’ Academy of Management Journal Vol 26 No 1 pp 27–44Google Scholar
Ettlie, JE (1983b) ‘Performance Gap Theories of Innovation’ IEEE Transactions on Engineering Management 05 pp 39–52Google Scholar
Ettlie, JE and Bridges, WP (1982) ‘Environmental Uncertainty and Organizational Technology Policy’ IEEE Transactions on Engineering Management 02 pp 2–10Google Scholar
Galbraith, JR (1982) ‘Designing the Innovating Organizations' Organizational Dynamics Winter pp 3–24Google Scholar
Glaser, B and Strauss, A (1967) The Discovery of Grounded Theory: Strategies for Qualitative Research Hawthorn NY: AldineGoogle Scholar
Gold, B (1982) ‘Robotics, Programmable Automation, and International Competitiveness' IEEE Transactions on Engineering Management 11 pp 135–146Google Scholar
Govindarajan, V and Gupta, AK (1985) ‘Linking Control Systems to Business Unit Strategy: Impact on Performance’ Accounting, Organizations and Society Vol 10 No 1 pp 51–66CrossRefGoogle Scholar
Graen, G and Hui, C (1996) ‘Managing Changes in Globalizing Business: How to Manage Cross-cultural Business Partners’ Journal of Change Management Vol 9 No 3 pp 62–72CrossRefGoogle Scholar
Green, C and Ruhleder, K (1996) ‘Globalization, Borderless Worlds, and the Tower of Babel: Metaphors Gone Awry’ Journal of Change Management Vol 8 No 4 pp 55–68CrossRefGoogle Scholar
Gupta, AK & Wilemon, DL (1990) ‘Accelerating the Development of Technology-based New Products' California Management Review Winter pp 24–44Google Scholar
Harris, RG and Mowery, DC (1990) ‘Strategies for Innovation: An Overview’ California Management Review Spring pp 7–16Google Scholar
Hayes, RH and Abernathy, WJ (1980) ‘Managing Our Way to Economic Decline’ Harvard Business Review 07-August pp 67–77Google Scholar
Hayes, RH and Jaikumar, R (1988) ‘Manufacturing's Crisis: New Technologies, Obsolete Organizations' Harvard Business Review 09-October pp 77–85Google Scholar
Hirst, MK (1983) ‘Reliance on Accounting Performance Measures, Task Uncertainty, and Dysfunctional Behavior: Some Extensions’ Journal of Accounting Research Autumn pp 596–605CrossRefGoogle Scholar
Kaplan, RS (1983) ‘Measuring Manufacturing Performance: A New Challenge for Managerial Accounting Research’ The Accounting Review 10 pp 686–705Google Scholar
Kaplan, RS (1986) ‘Accounting Lag: The Obsolescence of Cost Accounting Systems’ California Management Review Winter pp 174–199Google Scholar
Kim, J-O and Mueller, CW (1983) Factor Analysis: Statistical Methods and Practical Issues Beverly Hills CA: SageGoogle Scholar
Klus, JP (1993) ‘New and Emerging Technologies: A Competitive Edge for National Success’ International Journal of Technology Management Vol 8 Nos 6/7/8 pp 454–464Google Scholar
Kompass Australia (1989) Prahran: Peter IsaacsonGoogle Scholar
Macintosh, NB (1981) ‘A Contextual Model of Information Systems’ Accounting, Organizations and Society Vol 6 pp 39–53CrossRefGoogle Scholar
Macintosh, NB (1985) The Social Software of Accounting and Information Systems Chichester: WileyGoogle Scholar
Maidique, MA and Patch, P (1982) ‘Corporate Strategy and Technology Policy’ in Tushman, ML and Moore, WL (eds) Readings in the Management of Innovation Marshfield: PitmanGoogle Scholar
Mansfield, E (1982) ‘How Economists See R&D’ Research Management Vol 25 No 1 pp 23–29CrossRefGoogle Scholar
McCutcheon, DM, Raturi, AS and Meredith, JR (1994) ‘The Customization—Responsiveness Squeeze’ Sloan Management Review Winter pp 89–99Google Scholar
Merchant, KA (1984) ‘Influences on Departmental Budgeting: An Empirical Examination of A Contingency Model’ Accounting, Organizations and Society Vol 9 No 3/4 pp 291–307CrossRefGoogle Scholar
Neter, J, Wasserman, W and Kutner, MH (1985) Applied Linear Statistical Models Homewood Illinois: IrwinGoogle Scholar
Nunnally, JC (1967) Psychometric Theory New York: McGraw-HillGoogle Scholar
Nunnally, JC (1981) Psychometric Theory New Delhi: Tata McGraw-HillGoogle Scholar
Oldham, GR and Hackman, JR (1980) ‘Work Design in the Organizational Context’ in Staw, BM and Cummings, LL (eds) Research in Organizational Behavior Greenwich: JAI PressGoogle Scholar
Pavitt, K (1990) ‘What We Know About the Strategic Management of Technology’ California Management Review Spring pp 17–26Google Scholar
Perrow, C (1967) ‘A Framework for the Comparative Analysis of Organizations’ American Sociological Review Vol 32 pp 194–208CrossRefGoogle Scholar
Perrow, C (1970) Organizational Analysis: A Sociological View Belmont CA: WadsworthGoogle Scholar
Perry, JL and Kraemer, KL (1980) ‘Chief Executive Support and Innovation Adoption’ Administration and Society 08 pp 158–177Google Scholar
Pfeffer, J (1994) ‘Competitive Advantage Through People’ California Management Review Winter pp 9–28Google Scholar
Reimann, BC (1982) ‘Organizational Competence As A Predictor of Long Run Survival and Growth’ Academy of Management Journal Vol 25 No 2 pp 323–334Google Scholar
Rothwell, R (1983) ‘Innovation and Firm Size: A Case for Dynamic Complementarity; Or, is Small Really So Beautiful?’ Journal of General Management Vol 8 pp 5–25CrossRefGoogle Scholar
Rothwell, R (1984) ‘The Role of Small Firms in the Emergence of New Technologies’ OMEGA Vol 12 No 1 pp 19–29CrossRefGoogle Scholar
Rothwell, R (1985) ‘Venture Finance, Small Firms and Public Policy in the UK’ Research Policy Vol 14 pp 253–265CrossRefGoogle Scholar
Rothwell, R (1992) ‘Successful Industrial Innovation: Critical Factors for the 1990s’ R&D Management Vol 22 No 3 pp 221–239Google Scholar
Rothwell, R (1994) ‘Issues in User-Producer Relations in the Innovation Process: The Role of Government’ International Journal of Technology Management Vol 9 Nos 5/6/7 pp 629–649Google Scholar
Rothwell, R and Dodgson, M (1991) ‘External Linkages and Innovation in Small and Medium-size Enterprises’ R&D Management Vol 21 No 2 pp 125–136Google Scholar
Russell, G, Antill, J and Cunningham, J (1978) ‘The Measurement of Masculinity and Androgyny: A Reply to Rowland (1977)’ Australian Psychologist 03 pp 41–50Google Scholar
Safizadeh, MH (1991) ‘The Case of Workgroups in Manufacturing Operations’ California Management Review Summer pp 61–82Google Scholar
Sharp, M (1989) ‘Corporate Strategies and Collaboration in the Case of Esprit and European Electronics' in Dodgson, M (ed) Technology Strategy and the Firm: Management and Public Policy New York: LongmanGoogle Scholar
Sims, HP, Szilagyi, AD and Keller, RT (1976) ‘The Measurement of Job Characteristics' Academy of Management Journal Vol 19 pp 195–212Google Scholar
Solomons, D (1965) Divisional Performance: Measurement and Control Homewood: IrwinGoogle Scholar
Southwood, KE (1978) ‘Substantive Theory and Statistical Interaction: Five Models’ American Journal of Sociology 03 pp 1154–1203CrossRefGoogle Scholar
Teece, DJ (1986) ‘Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing and Public Policy’ Research Policy Vol 15 pp 285–305CrossRefGoogle Scholar
Thomas, AB (1988) ‘Does Leadership Make A Difference to Organizational Performance?’ Administrative Science Quarterly Vol 33 pp 388–400CrossRefGoogle Scholar
Tiedman, HR (1972) Fundamentals of Psychological and Educational Measurement Springfield: ThomasGoogle Scholar
Tsui, AS and Barry, B (1986) ‘Interpersonal Affect and Rating Errors' Academy of Management Journal 09 pp 586–599Google Scholar
Tushman, ML (1979) ‘Work Characteristics and Subunit Communication Structure: A Contingency Analysis’ Administrative Science Quarterly 03 pp 82–97Google Scholar
Umanath, NS and Kim, KK (1992) ‘Task Structure Relationship of Information Systems Development Subunit: A Congruence Perspective’ Decision Sciences Journal Vol 23 No 4 pp 819–838CrossRefGoogle Scholar
Van de Ven, AH (1986) ‘Central Problems in the Management of Innovation’ Management Science 05 pp 590–607Google Scholar
Van de Ven, AH (1993) ‘A Community Perspective on the Emergence of Innovations’ Journal of Engineering and Technology Management Vol 10 pp 23–51CrossRefGoogle Scholar
Van de Ven, AH and Delbecq, AL (1974) ‘A Task Contingent Model of Work-unit Structure’ Administrative Science Quarterly 06 pp 183–97Google Scholar
Van De Ven, AH, Delbecq, AL and Koenig, R Jr, (1976) ‘Determinants of Coordination Modes Within Organizations’ American Sociological Review 04 pp 322–338Google Scholar
Venkatraman, N and Ramanujam, V (1986) ‘Measurement of Business Performance in Strategy Research: A Comparison of Approaches’ Academy of Management Review Vol 11 No 4 pp 801–814CrossRefGoogle Scholar
Venkatraman, N and Ramanujam, V (1987) ‘Measurement of Business Economic Performance: An Examination of Method Convergence’ Journal of Management Spring pp 109–122CrossRefGoogle Scholar
Whitman, M (1992) ‘Technology Policy: Is America on the Right Track?’ Harvard Business Review 05/June pp 140–156Google Scholar
Williams, JJ, Macintosh, NB and Moore, JC (1990) ‘Budget-related Behavior in Public Sector Organizations: Some Empirical Evience’ Accounting, Organizations and Society Vol 15 No 3 pp 221–246CrossRefGoogle Scholar
Withey, M, Daft, RL and Cooper, WH (1983) ‘Measures of Perrow's Work Unit Technology: An Empirical Assessment and A New Scale’ Academy of Management Journal Vol 26 No 1 pp 45–63Google Scholar
Zahra, SA and Covin, JG (1993) ‘Business Strategy, Technology Policy and Firm Performance’ Strategic Management Journal Vol 14 pp 451–478CrossRefGoogle Scholar