An empirical investigation of information systems success. An analysis of the factors affecting banking information systems success in Egypt.
AuthorHussein, Safaa A.
Taylor, W. Andrew
Information technology (IT)
Information system modelling
The University of Bradford theses are licenced under a Creative Commons Licence.
InstitutionUniversity of Bradford
DepartmentSchool of Management
MetadataShow full item record
AbstractInformation technology (IT) plays an important role in contemporary organisations and this role continues to expand in scope and complexity and affects business operations dramatically. Advances in the IT industry have caused major changes in every industry sector. The banking industry is no exception and it has undergone a dramatic change over the past few decades. With the coming of the information age, IS investments are becoming increasingly important to banks` survival, growth and prosperity. IS managers are under increasing pressure to justify the value and contribution of IS expenditure to the productivity, quality and competitiveness of the organisation. This study aims to propose a model which investigates the success of information systems in the banking industry in order to help bank managers to evaluate the success of their IS, to be able to develop these systems and to improve the performance of bank managers and employees. Given that the ultimate dependent variable for this research is individual impacts, DeLone and McLean (2003) updated IS success model is leveraged and extended in this research. The study proposes a research model which is guided by the decision to select a suitable number of key potential demographic and situational variables, in addition to the adoption of DeLone and McLean (2003) updated model. This model proposes that a variety of factors were found to affect IS success in general, however, from the socio-technical viewpoint, IS success should capture both technological and human elements. Therefore, an effective Banking Information System (BIS) typically requires an appropriate combination of both. As such, Thus, the technological dimensions (i.e. system, service and information quality) and the human dimensions (e.g. user satisfaction, perceived system benefits, user involvement, user training, age, education and system use) can be a good starting point when considering suitable constructs for measuring BIS success. The research methodology of this study involved interviews with BIS practitioners and professionals to shape and refine the research model. Further, questionnaire survey was employed to collect data from bank managers in Egyptian banks. Structural Equation Modelling (SEM) using Partial Least Square (PLS) was used to test the research model. Three research models were proposed according to age groups and initial results from PLS analysis reported different results in each research model. Findings indicated that system, information and service quality, level of training, age, length of system use, user involvement and top management support were the main predictors (success constructs) of user satisfaction and individual impacts in the three proposed research models. However, the relationships between these constructs varied according to each age group of managers. The study offers important academic and practical contributions. Firstly, as a contribution to research, the study serves to extend the DeLone and McLean (2003) IS success model by introducing some key human and situational dimensions and confirming certain links in that model with the context of banking industry. The contribution to practice is especially relevant for bank CIOs, software designers and developers looking for ways to improve BIS developments by providing them with directions regarding the BIS success dimensions that should be considered to encourage bank managers to adopt and be more satisfied with BIS which in turn influence their job performance.
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