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Formulates and tests an integrated model of the determinants of end user computing (EUC) success. Assesses their effects on job satisfaction and the quality of work life. Tests the model using multiple regression analysis based on a sample of 177 (in the USA!). Claims a symbiotic relationship between EUC and the worker. Demonstrates that EUC success is influenced by the users′ computer experience, training and organizational level.

United States government statistics have shown that although women and minorities have made impressive gains in employment during 1980s, they continue to be underrepresented in positions of power and responsibility, especially at the senior management and executive positions. This trend has also been observed in the Information Systems (IS) field (Wilson, 1990). It has been reported that women and blacks encounter a glass ceiling that prevents them from reaching the top levels of IS positions (Johnson, 1990; Morrison and Glinow, 1990). A number of potential causes of this glass ceiling effect have been suggested:

In the last decade, information technology has proven to be the major enabler that has helped multinational corporations to integrate their worldwide operations. However, studies show that many of these foreign subsidiaries, especially in less‐developed countries, under‐utilize their information systems, thus not making a significant contribution in improving the performance of organizations. Previous research, which investigated the factors that motivated individuals in accepting information technology, were conducted in developed countries. Since less‐developed countries differ culturally from developed countries, it is important to identify the factors which motivate individuals in these countries to accept as well as use information technology. This study seeks to investigate this issue. A comprehensive questionnaire on microcomputer acceptance and its resulting impact was collected from 88 users in six banks in Nigeria. The results suggest that social pressure is an important factor affecting microcomputer usage.

Recent projections by social scientists indicate that by the year 2000 almost half the work force will be comprised of women. Information systems (IS) literature reports that women are underrepresented: only about one‐third of IS employees are female. This may suggest that IS women professionals may be engaging in practices that restrict their entry, promotion and retention. Attempts to examine the career success outcomes of men and women in IS using the human‐capital paradigm. Presents results, based on the survey responses of about 348 employees in the IS field, which suggest that significant gender differences exist. For instance, women were found, on average, to be somewhat younger and less experienced then were men in lower‐level positions and to receive lower salaries than do men even when age, work experience and job level were controlled. Moreover, women have fewer opportunities to interact with people outside their departmental boundaries. Discusses the relevance of these results and presents viable options for fostering the careers and improving the retention of women in the IS field.

As the increase in manufacturing competitiveness forces organizations to use more sophisticated and complex software, system performance depends on clever systems design, efficient planning and scheduling of the related processes. For these advanced manufacturing systems the dependence on human competence is greater. However, previous studies indicate that the human aspects for successfully implementing such systems have been neglected. The objective here is to test the hypotheses that system complexity is inversely related to performance, and that training of system operators, and the quality of the man/machine interface reduces the negative impact of system complexity. A sample of discreet manufacturing systems from 128 organizations was used to test these hypotheses empirically. Moderated multivariate regression indicates that man/machine interfaces are significant contributors to reducing the negative effect of systems complexity. With a lower level of significance, operator training has a similar impact. For complex manufacturing systems software, it behoves managers to insure that the man/machine interface provides the desirable features outlined in this study.

Shows how a survey of 216 plant managers is used to develop and test an integrated model of their turnover intentions. The model incorporates role stressors, task characteristics, job involvement, job satisfaction, and organizational commitment as predictors of intention to stay in the organization. The results provide moderate support for the proposed model and show that organizational commitment had a direct and positive effect on plant managers’ intention to stay with their organization. Indirect effects on intention to stay were found for job satisfaction, job involvement, task characteristics and role stressors. Results show that job satisfaction is considered the most important factor directly affecting organizational commitment, while job involvement also had a direct effect on organizational commitment. Role stressors were found to be the most disfunctional variables affecting satisfaction of the plant managers. The results also indicated that task characteristics play an important role in predicting job satisfaction, organizational commitment, and intention to stay. Presents implications for top management to improve job satisfaction, organization commitment and retention of plant managers.

Evidence suggests that retail investors who invest in individual stocks are, in the long run, largely outperformed by market indexes such as the MSCI World. While some turn to exchange traded funds (ETFs) to invest in such market indexes, few migrate completely to ETFs. This study aims to shed light on the rationale behind retail investors' partial and complete migration from stocks to ETFs.

Drawing from the pull-push-mooring framework, a qualitative study (N = 21) informs a quantitative study (N = 282) by following established mixed methods guidelines. This study develops propositions for partial and complete migration intention to ETFs.

Results reveal that perceived investment possibilities, perceived risk reduction, perceived administrative effort, perceived expensiveness and monetary loss costs influence the migration from stocks to ETFs. This study shows that three configurations of perceptions result in partial migration intention and one configuration results in complete migration intention.

This study explains why some migrate partially from stocks to ETFs and others migrate completely. Findings show that both migration behaviors are subject to the same perceptions, but the configurations that form the behaviors are different. While only some identified perceptions must be present for a partial migration, all of them must be present for a complete migration, as it requires retail investors to sell their stocks and accept the costs incurred to invest in ETFs instead.

Jarring events, be they global crises such as COVID-19 or technological events such as the Cambridge Analytica data incident, have bullwhip effects on billions of people's daily lives. Such “shocks” vary in their characteristics. While some shocks cause, for example, widespread adoption of information systems (IS) as diverse as Netflix and Teams, others lead users to stop using IS, such as Facebook. To offer insights into the multifaceted ways shocks influence user behavior, this study aims to assess the status quo of shock-related literature in the IS discipline and develop a taxonomy that paves the path for future IS research on shocks.

This study conducted a literature review (N = 70) to assess the status quo of shock-related research in the IS discipline. Through a qualitative study based on users who experienced shocks (N = 39), it confirmed the findings of previous literature in an illustrative IS research context. Integrating the findings of the literature review and qualitative study, this study informs a taxonomy of shocks impacting IS use.

This study identifies different ways that shocks influence user behavior. The taxonomy reveals that IS research could profit from considering environmental, private and work shocks and shedding light on positive shocks. IS research could also benefit from examining the urgency of shocks, as there are indications that this influences how and when individuals react to a specific shock.

Findings complement previous rational explanations for user behavior by showing technology use can be influenced by shocks. This study offers a foundation for forward-looking research that connects jarring events to patterns of technology use.

Presents an integrated framework that would help manufacturing managers to select IT applications (manufacturing management systems) that are best suited to a given process structure and the intended competitive priorities of a firm. The proposed framework is based on the premiss that the process of matching IT applications to competitive priorities involves identification of key manufacturing tasks underlying different priorities and the corresponding process structures. The theoretic‐deductive approach is used to link the three vital elements ‐ competitive priorities, process structures and IT applications ‐ in the following application areas: product design, demand management, capacity planning, inventory management, shopfloor systems, quality management and distribution.

Conceptual model in this paper combines existing scientific knowledge grounded in theories of planned behavior, diffusion of innovation and a unified theory of acceptance and use of technology, while aiming to identify relevant determinants of continuous use of e-learning by employees who used e-learning in the past year at their workplace.

The authors developed and empirically tested the positive impact of professional, personal, IT and environmental factors on the continued use of e-learning among 672 employees across different sectors using the structural equation modeling technique.

Research results suggest that the most powerful determinant of continuous use of e-learning are personal factors. Environmental influences and technological aspects also exhibit a positive and significant impact on the continuous use of e-learning. Research hypothesis related to the positive influence of professional factors on the continuous use of e-learning has not been empirically confirmed. Also, results demonstrated that continued use of e-learning contributes to better individual business performance.

The practical contribution is threefold: to companies, education institutions and human resource managers. For companies, identification of key determinants will lead to a better understanding of employees needs regarding continuous job improvements. The findings can be used by educational institutions to design e-learning programs according to results and real value to employees. On the other hand, human resource managers can benefit from this study in terms of getting concrete factors that motivate employees for continuous job improvement.

The research sheds light on the proposed integrated model that tests the post-adoption of the continuous use of e-learning within an organizational context.