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
Rights© 2009 Hussein, S. A. This work is licensed under a Creative Commons Attribution-Non-Commercial-Share-Alike License (http://creativecommons.org/licenses/by-nc-nd/2.0/uk).
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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Information but not consultation: Exploring employee involvement in SMEsWilkinson, Adrian; Dundon, T.; Grugulis, C. Irena (2007)Most research on Employee Involvement (EI) has focused on large or 'mainstream' organizations. By adopting those schemes which 'appear' to work well in larger organizations, then smaller firms assume there will be enhanced employee commitment beyond formal contractual requirements. The main question in this paper is whether EI schemes designed by management will suffice under the 2004 Information and Consultation of Employees (ICE) Regulations. It focuses on SMEs which tend to favour informal and direct EI, and it remains unclear how these methods will be played out under the new regulatory environment. Evidence from four case studies is presented here and it suggests that the ICE Regulations impose new challenges for smaller firms given their tendency to provide information rather than consult with employees. It also appears organizational factors, workplace relations history and the way processes are implemented at enterprise level may be far more important than size itself.
Does telehealth monitoring identify exacerbations of chronic pulmonary disease and reduce hospitalisations? An analysis of systems dataKargiannakis, M.; Fitzsimmons, D.A.; Bentley, C.L.; Mountain, Gail (2017-03-22)Background: The increasing prevalence and associated cost of treating chronic obstructive pulmonary disease (COPD) is unsustainable. Health care organizations are focusing on ways to support self-management and prevent hospital admissions, including telehealth-monitoring services capturing physiological and health status data. This paper reports on data captured during a pilot randomized controlled trial of telehealth-supported care within a community-based service for patients discharged from hospital following an exacerbation of their COPD. Objective: The aim was to undertake the first analysis of system data to determine whether telehealth monitoring can identify an exacerbation of COPD, providing clinicians with an opportunity to intervene with timely treatment and prevent hospital readmission. Methods: A total of 23 participants received a telehealth-supported intervention. This paper reports on the analysis of data from a telehealth monitoring system that captured data from two sources: (1) data uploaded both manually and using Bluetooth peripheral devices by the 23 participants and (2) clinical records entered as nursing notes by the clinicians. Rules embedded in the telehealth monitoring system triggered system alerts to be reviewed by remote clinicians who determined whether clinical intervention was required. We also analyzed data on the frequency and length (bed days) of hospital admissions, frequency of hospital Accident and Emergency visits that did not lead to hospital admission, and frequency and type of community health care service contacts—other than the COPD discharge service—for all participants for the duration of the intervention and 6 months postintervention. Results: Patients generated 512 alerts, 451 of which occurred during the first 42 days that all participants used the equipment. Patients generated fewer alerts over time with typically seven alerts per day within the first 10 days and four alerts per day thereafter. They also had three times more days without alerts than with alerts. Alerts were most commonly triggered by reports of being more tired, having difficulty with self-care, and blood pressure being out of range. During the 8-week intervention, and for 6-month follow-up, eight of the 23 patients were hospitalized. Hospital readmission rates (2/23, 9%) in the first 28 days of service were lower than the 20% UK norm. Conclusions: It seems that the clinical team can identify exacerbations based on both an increase in alerts and the types of system-generated alerts as evidenced by their efforts to provided treatment interventions. There was some indication that telehealth monitoring potentially delayed hospitalizations until after patients had been discharged from the service. We suggest that telehealth-supported care can fulfill an important role in enabling patients with COPD to better manage their condition and remain out of hospital, but adequate resourcing and timely response to alerts is a critical factor in supporting patients to remain at home.
Information quality assessment in e-learning systems.Neagu, Daniel; Cullen, Andrea J.; Alkhattabi, Mona A. (University of BradfordInformatics Research Institute, School of Computing, Informatics and Media, 2011-04-15)E-learning systems provide a promising solution as an information exchanging channel. Improved technology could mean faster and easier access to information but does not necessarily ensure the quality of this information. Therefore it is essential to develop valid and reliable methods of quality measurement and carry out careful information quality evaluations. Information quality frameworks are developed to measure the quality of information systems, generally from the designers¿ viewpoint. The recent proliferation of e-services, and e-learning particularly, raises the need for a new quality framework in the context of e-learning systems. The main contribution of this thesis is to propose a new information quality framework, with 14 information quality attributes grouped in three quality dimensions: intrinsic, contextual representation and accessibility. We report results based on original questionnaire data and factor analysis. Moreover, we validate the proposed framework using an empirical approach. We report our validation results on the basis of data collected from an original questionnaire and structural equation modeling (SEM) analysis, confirmatory factor analysis (CFA) in particular. However, it is difficult to measure information quality in an e-learning context because the concept of information quality is complex and it is expected that the measurements will be multidimensional in nature. Reliable measures need to be obtained in a systematic way, whilst considering the purpose of the measurement. Therefore, we start by adopting a Goal Question Metrics (GQM) approach to develop a set of quality metrics for the identified quality attributes within the proposed framework. We then define an assessment model and measurement scheme, based on a multi element analysis technique. The obtained results can be considered to be promising and positive, and revealed that the framework and assessment scheme could give good predictions for information quality within e-learning context. This research generates novel contributions as it proposes a solution to the problems raised from the absence of consensus regarding evaluation standards and methods for measuring information quality within an e-learning context. Also, it anticipates the feasibility of taking advantage of web mining techniques to automate the retrieval process of the information required for quality measurement. This assessment model is useful to e-learning systems designers, providers and users as it gives a comprehensive indication of the quality of information in such systems, and also facilitates the evaluation, allows comparisons and analysis of information quality.