Assessing the impact of the information technology on organisational systems: a power holding company

The impacts of information technology on work have been one of the most talked issues over the recent years and it has received a lot of attention. Organisations with significant investments on information technology are concerned about the impacts of their investments on the individual and his/her performance and also how this impact will be measured. Information system executives have increasingly been required to justify technology investment in terms of technology acceptance and user productivities. In this paper, an integrated instrument is applied in order to study the impacts of information technology applications on individual work in four dimensions: task productivity, task innovation, customer satisfaction and management control. The impact of IT applications on individual work in these four dimensions represents the satisfaction of end users and if the obtained statistical results of this impact are uniform, the best conclusion will be met which reveals the homogeneity of the used resources in the system. The actual case study of this paper which is a power holding company, showed the uniform impact of IT applications in all departments with respect to the four stated dimensions. In fact, all statistical results such as regression analysis confirm the homogeneity of the system in terms of IT applications and human resources used in all departments.

[1]  Rahat H. Bokhari,et al.  The relationship between system usage and user satisfaction: a meta-analysis , 2005, J. Enterp. Inf. Manag..

[2]  Ali Azadeh,et al.  An empirical study of the end-user satisfaction with information systems using the Doll and Torkzadeh instrument , 2009, Int. J. Bus. Inf. Syst..

[3]  Bejjar Mohamed Ali,et al.  The Impact of Information Systems on user Performance: An Exploratory Study , 2013 .

[4]  Jean Harvey,et al.  Service Delivery Processes: New Technology and Design , 2013 .

[5]  Ann S. Marucheck,et al.  A Study of the Impact of an Integrated Information Technology on the Time Utilization of Information Workers , 1992 .

[6]  Ruth A. Palmquist.  The impact of information technology on the individual , 1992 .

[7]  Purnendu Mandal,et al.  Evaluating the impact of IT investments: use of a multi-period profit-linked productivity measurement model , 2012, Int. J. Bus. Inf. Syst..

[8]  Ali Azadeh,et al.  A hybrid GA-ant colony approach for exploring the relationship between IT and firm performance , 2009, Int. J. Bus. Inf. Syst..

[9]  Jon B. Woodroof,et al.  Satisfaction/dissatisfaction: are users predisposed? , 2003, Inf. Manag..

[10]  R. P. Mohanty,et al.  An empirical study of information technology infrastructure capability and its impact on digitally enabled customer management processes in life insurance companies , 2013, Int. J. Bus. Inf. Syst..

[11]  W. Doll,et al.  The development of a tool for measuring the perceived impact of information technology on work , 1999 .

[12]  J. Harvey,et al.  Service quality and service productivity management practices , 1996 .

[13]  Harley Shaiken,et al.  Work Transformed: Automation and Labor in the Computer Age , 1985 .

[14]  A. Azadeh,et al.  An integrated Delphi/VAHP/DEA framework for evaluation of information technology/information system (IT/IS) investments , 2009 .

[15]  Vikas Jain,et al.  Performance impacts of is at the individual level: An integrated model , 2006, ECIS.

[16]  Vikas Jain,et al.  Realising IT value: post adoptive IS usage and performance impacts at individual level , 2013, Int. J. Bus. Inf. Syst..

[17]  Roger McHaney,et al.  A validation of the end-user computing satisfaction instrument in Taiwan , 2002, Inf. Manag..

[18]  Saeid Khajeh dangolani.  The Impact of Information Technology in Banking System (A Case Study in Bank Keshavarzi IRAN) , 2011 .

[19]  Maziyar Ghasemi,et al.  The impact of information technology (it) on modern accounting systems , 2011 .

[20]  Sarandis Mitropoulos,et al.  A simulation-based approach for IT and business strategy alignment and evaluation , 2012, Int. J. Bus. Inf. Syst..

[21]  William J. Doll,et al.  Confirmatory factor analysis and factorial invariance of the impact of information technology instrument , 2005 .

[22]  Shoshana Zuboff,et al.  In the Age of the Smart Machine: The Future of Work and Power , 1989 .

[23]  Mo Adam Mahmood,et al.  A Comprehensive Model for Measuring the Potential Impact of Information Technology on Organizational Strategic Variables , 1991 .

[24]  Zoran Perunovic,et al.  Impact of information technology on vendor objectives, capabilities, and competences in contract electronic manufacturing , 2012 .

[25]  Shoshana Zuboff.  In the Age of the Smart Machine , 1988 .

[26]  Vijay Sethi,et al.  Development of measures to assess the extent to which an information technology application provides competitive advantage , 1994 .

[27]  Chui Young Yoon,et al.  The effect factors of end-user task performance in a business environment: Focusing on computing competency , 2009, Comput. Hum. Behav..

[28]  Jafar Razmi,et al.  Assessing the impact of information technology on firm performance considering the role of intervening variables: organizational infrastructures and business processes reengineering , 2007 .

[29]  Sheue-Ling Hwang,et al.  An integrated framework for continuous improvement on user satisfaction of information systems , 2006, Ind. Manag. Data Syst..

[30]  A. Azadeh,et al.  End-user training programs planning model based on Information Technology and Information Systems (IT/IS) impact on individual work , 2006, 2006 IEEE International Conference on Industrial Technology.

[31]  Kevin W. Kobelsky,et al.  The impact of information technology on performance in the not-for-profit sector , 2014, Int. J. Account. Inf. Syst..

[32]  Abbas Keramati,et al.  Assessing the impact of information technology on firm performance using canonical correlation analysis , 2010, Int. J. Bus. Inf. Syst..

[33]  Panagiotis Trivellas,et al.  The Impact of Management Information Systems ’ Effectiveness on Task Productivity the Case of the Greek Banking Sector , 2022 .

[34]  Toni M. Somers,et al.  Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument: Replication within an ERP Domain , 2003, Decis. Sci..

[35]  Jungwoo Lee,et al.  Measures of perceived end-user computing skills , 2003, Inf. Manag..

[36]  Kenneth L. Kraemer,et al.  The Impact of Information Technology on Middle Managers , 1993, MIS Q..

[37]  Ali Azadeh,et al.  An integrated multivariate approach for optimisation of IT/IS investment in conventional power plants , 2010, Int. J. Bus. Inf. Syst..