The necessary alignment between technology innovation effectiveness and operational effectiveness
Ricardo Santa
School of Law and Business, Charles Darwin University, Casuarina Campus, Darwin NT
Mario Ferrer
Faculty of Business and Informatics, Central Queensland University, Rockhampton QLD
Phil Bretherton
School of Law and Business, Charles Darwin University, Casuarina Campus, Darwin NT
Paul Hyland
Queensland University of Technology, Brisbane QLD
PP: 155
Abstract
Organisations are increasingly investing in complex technological innovations such as enterprise information systems with the aim of improving the operations of the business, and in this way gaining competitive advantage. However, the implementation of technological innovations tends to have an excessive focus on either technology innovation effectiveness (also known as system effectiveness), or the resulting operational effectiveness; focusing on either one of them is detrimental to the long-term enterprise benefits through failure to achieve the real value of technological innovations.
The lack of research on the dimensions and performance objectives that organisations must be focusing on is the main reason for this misalignment. This research uses a combination of qualitative and quantitative, three-stage methodological approach.
Initial findings suggest that factors such as quality of information from technology innovation effectiveness, and quality and speed from operational effectiveness are important and significantly well correlated factors that promote the alignment between technology innovation effectiveness and operational effectiveness.
Keywords
technological innovation, system effectiveness, operational effectiveness, information systems alignment, performance objectives
Article Text
Innovative organisations are those that are able to use innovation to improve their practices, processes, systems or services (Tidd et al 2001). Organisations are faced with competitive pressures to improve efficiency and productivity through technological innovation (Ifandoudas & Chapman 2006). In addition, organisations need to respond to market changes through product or service innovation as performance improvement is derived, in large measure, from innovation (Tidd et al 2001).
Many service organisations are investing substantial resources in technological innovation such as enterprise information systems (EIS) to reengineer their processes, but the extent to which these technology innovations assist organisation to improve the operational performance is not yet well understood (Mabert et al 2003).
... continues ...
References
Baroudi JJ, Olson MH and Ives B (1986) An Empirical study of the impact of user involvement on system usage and information satisfaction, Communications of the ACM 29(3): 232-238.
Berthon P, Pitt L, Ewing M and Carr CL (2002) Potential research space in MIS: A framework for envisioning and evaluating research replication, extension, and generation, Information Systems Research 13(4): 416-427.
Bokhari RH (2005) The relationship between system usage and user satisfaction: A metaanalysis, Journal of Enterprise Information Management 18(1/2): 211-234.
Chen LD, Soliman KS, Mao E and Frolick MN (2000) Measuring user satisfaction with data warehouses: An exploratory study, Information & Management 37: 103-110.
Cotteleer M (2001) Operational performance following ERP implementation, Harvard University Press, Cambridge MA.
Davenport T (1998) Putting the enterprise into the enterprise system, Harvard Business Review 76(4): 121-131.
Davenport T (2000) Mission critical: Realizing the promise of Enterprise Systems, Harvard Business School Press, Boston MA.
DeLone W and McLean E (2003) The DeLone and McLean model of information system success: A ten-year update, Journal of Management Information Systems 19(4): 9-30.
Doll WJ and Torkzadeh G (1988) The measurement of end-user computing satisfaction, MIS Quarterly 12: 259-274.
Downing CE (1999) System usage behavior as a proxy for user satisfaction: An empirical investigation, Information & Management 35: 203-216.
Gash D and Orlikowski W (1991) Changing frames: Understanding technological change in organizations, Working paper, Sloan School of Management 3368-92, Massachusetts Institute of Technology.
Hair JF, Anderson RE, Tatham RL and Black WC (1998) Multivariate data analysis, Prentice Hall, Englewood Cliffs NJ.
Hammer M and Champy J (1993) Reengineering the corporation: A manifesto for business revolution, Nicholas Brealey, San Francisco CA; Allen & Unwin, London.
Heeks R (2005) Health information systems: Failure, success and improvisation, Medical Informatics 75: 125-137.
Hill T (2005) Operations management, Palgrave Macmillan, New York.
Ifandoudas P and Chapman R (2006) 'Strategic ICT implementation within SMEs for business Improvement: The COSTWORTH project'. Paper presented to 6th Intl CINet Conference, Brighton.
Jamieson K and Hyland P (2004) 'IS failure: Just too much information?' Paper presented to 8th World Multi-Conference on Systemics, Cybernetics and Informatics, Orlando FL.
Kueng P (2000) Process performance measurement system: A tool to support process-based organisations, Total Quality Management and Business Excellence 11(1): 67-85.
Kueng P (2002) Performance measurement systems in the service sectors: The potential of IT is not yet utilised, International Journal of Business Performance Management 4(1): 95-114.
Kvale S (1996) Interviews: An introduction to qualitative research interviewing, Sage Publications, London.
Mabert VA, Soni A and Venkataramanan MA (2003) Enterprise resource planning: Managing the implementation process, European Journal of Operation Research 146: 302-314.
March JG and Simon A (1993) Organizations 2nd edn, Blackwell, Cambridge.
Masini A (2003) 'The ERP paradox: An empirical investigation of the impact of enterprise systems on operational effectiveness', PhD thesis, Institut Europeen d'Administration des Affaires, France.
Mcafee A (2002) The impact of enterprise information technology adoption on operational performance: An empirical investigation, Production and Operations Management 11(1): 33-53.
Mohmood MA, Burn JM, Gemoets LA and Jacquez C (2000) Variables affecting information technology end-user satisfaction: A meta-analysis of the empirical literature, International Journal of Human-Computer Studies 52: 751-771.
Nielsen J (2005) Critical success factors for implementing ERP system. In Qualitative Case Studies on Implementation of Enterprise Wide Systems, Idea Group Inc. pp.211-231.
Norman A, Ngai EWT and Cheng TCE (2002) A critical review of end-user Information System satisfaction research and a new research framework, Omega The International Journal of Management Science 30: 451-478.
O'Neill P and Sohal A (1998) Business process reengineering: Application and success - an Australian study, International Journal of Operations & Production Management 18(9/10): 832-864.
Orlikowski W and Gash D (1994) Technological frames: Making sense of information technology in organizations, ACM Transactions on Information Systems TOIS 12(2): 174-207.
Pitt LF, Watson RT and Kavan CV (1995) Service quality: A measure of information systems effectiveness, MIS Quarterly 19(2): 173-188.
Porter M (1996) What is strategy? Harvard Business Review Nov/Dec.
Rai A, Lang S and Welker R (2002) Assessing the validity of IS success models: An empirical test and theoretical analysis, Information System Research 13(1): 50-69.
Romano K (2003) 'The influence of organisational culture, leadership, and structure on operational effectiveness in the aerospace industry', Doctoral thesis, School of Advanced Studies, University of Phoenix.
Russell RS and Taylor BW (2005) Operations management - Quality and competitiveness in a global environment 5th edn, John Wiley, Hoboken NJ.
Sarantakos S (2005) Social research 3rd edn, Palgrave Macmillan, New York.
Seddon P (1997) A respecification and extension of the DeLone and McLean model of IS success, Information System Research 8(3): 240-253.
Seddon S and Kiew M-Y (1994) 'A partial test and development of DeLone and McLean's model of IS success'. Paper presented to International Conference on Information Systems, Atlanta GA.
Sekaran U (2003) Research methods for business 4th edn, John Wiley & Sons, New York.
Slack N (1991) The manufacturing advantage, Mercury Books, London.
Slack N, Chambers S and Johnston R (2004) Operations management 4th edn, Pearson Education.
Somers TM, Nelson K and Karimi J (2003) Confirmatory factor analysis of the end-user computing satisfaction instrument: Replication within an ERP domain, Decision Sciences 34(3): 595-621.
Teece D, Pisano G and Shuen A (1997) Dynamic capabilities and strategic management. Strategic Management Journal 8(7): 509-533.
Tidd J, Bessant J and Pavitt K (2001) Managing Innovation, John Wiley, New York.
Wheelwright SC and Bowen H (1996) The challenge of manufacturing advantage. Production and Operations Management 5(1): 59-77.
White G (1996) A survey and taxonomy of strategy-related performance measures for manufacturing, International Journal of Operations and Production Management 16(3): 42-61.
Yin R (2003) Case study research: Design and methods 3rd edn, Applied Social Research Methods Series Vol. 5, Sage Publications, Thousand Oaks.
Zviran M and Pliskin N (2005) Measuring user satisfaction and perceived usefulness in the ERP context, Journal of Computer Information Systems 45(3): 43-52.

eContent Home




