Examining Post-Adoptive Change of Enterprise System Implementations: A Socio-Technical Perspective

The implementation of a new enterprise system is a major change event for end-users. Since organisations need to modify their processes and structures to align with the enterprise system, users must learn and understand the new system as well as engage with it in their work practices. Past research has largely focused on the initial organisational adoption of an enterprise system. However, there has been little research concerning the change process in the post-adoption stage. This research addresses this gap by drawing on the punctuated socio-technical information system change (PSIC) model to explain the change through critical events, gaps between socio-technical components, responses to gaps, and outcomes. The research question is: How do socio-technical changes unfold in an enterprise system implementation? The study employs a qualitative interpretive case study method. The results reveal that changes in the structure of work following enterprise system implementation affect organisational performance, the social system, and individual work practices. This research contributes to a better understanding of technical and social changes and their impacts in the post-adoption of enterprise system implementation. The findings may assist organisations in providing appropriate resources and support for successful enterprise system implementation.

Putting Sense and Mind into Your Enterprise Systems: A Qualitative Study of IS Assimilation in Large Public Organizations in India

The purpose of this paper is to investigate the information systems (IS) assimilation level of an enterprise system in the post-implementation phase, through the lens of IS governance mechanisms and IS support structures, impacted by the socio-cognitive processes. The research follows a qualitative approach and builds on semi-structured interviews with enterprise system stakeholders in large public sector organizations in India. The study posits that high levels of IS governance mechanisms and high levels of IS support structures lead to a high level of IS assimilation only in the presence of higher level socio-cognitive processes. A not-so-higher level of socio-cognitive fabric results in low or moderate IS assimilation levels in spite of high levels of IS governance and/or IS support structures. Despite close to a couple of decades of IS research on enterprise systems, IS assimilation is still an enigma for practitioners and academicians. The generalizability of the results of this study may be applicable to any public organization in a developing country, like India, which are using enterprise system solutions but are yet to reap the potential benefits. The results present a way forward for practitioners to ensure optimal resources and focus for the triad- IS governance, IS support structures and socio-cognitive processes.

How do ambidextrous leadership and self-efficacy influence employees' enterprise system use: an empirical study of customer relationship management system context

PurposeBased on leadership and self-efficacy theories, this study investigates how team-level ambidextrous leadership influences employees' enterprise system (ES) use via their self-efficacy.Design/methodology/approachThis study collected data from a cross-sectional survey including 218 employees working in 56 workgroups in a Chinese financial institution. The authors used a cross-level mediation analysis to test the research model.FindingsThe authors find that ambidextrous leadership influences employees' creative self-efficacy and performance self-efficacy and further improves employees' ES use. Moreover, creative self-efficacy mediates the relationship between ambidextrous leadership and explorative use, whereas performance self-efficacy mediates the relationship between ambidextrous leadership and both explorative and exploitative use.Originality/valueThis study first examines the relationships among ambidextrous leadership, self-efficacy and employees' ES use by developing a cross-level model. Furthermore, by considering ambidextrous leadership as an important team-level factor, this study extends a deeper understanding of ambidexterity theory of leadership in the ES context. In addition, our study extends self-efficacy theory by examining the mediating roles of the two types of self-efficacy (i.e. performance self-efficacy and creative self-efficacy) on ambidextrous leadership–ES use relationship.

The Influence of ES-CSF Profile Configurations and Human Capital on Organizational Performance

Critical Success Factors (CSF) for a successful enterprise system (ES) implementation have been widely studied at the level of individual firms. However, firms may (unintendedly) end up forming groups (clusters) whose members look alike in terms of the CSF that they emphasize during the ES implementation. The objective of this study is to identify such clusters, analyze the differences in organizational performance and ES benefits among them, and explore whether human capital amplifies the effects of the CSF-based cluster membership. Data were collected from a sample of 125 Mexican firms that have implemented ES. The data analysis indicates the presence of three distinct clusters that differ in organizational performance and ES benefits, with performance indicators being greater for high-human-capital-level firms across the clusters. The findings suggest that ES deployments are complex phenomena subject to institutional forces that shape the CSF configurations that firms emphasize. Different CSF configurations, in turn, determine whether firms profit (or not) from their ES investments.

Predicting development based on a model of reflexive connections

The purpose of the article is to develop an approach to quality forecasting of industrial enterprises. This article intends to understand how to take into account in predicting relationship, behavior and interaction of economic agents that affect the efficiency of the enterprise. The result of the work is a reflexive approach to forecasting the development of an industrial enterprise, which focuses on prediction considering the complex interaction of economic agents in industrial activities as subjects of reflection with appropriate ranks. The approach based on the proposed model, which taking into account the reflective relationships between the industrial enterprise system and the components of the external environment, in which the industrial enterprise and other economic agents (or groups of economic agents) are considered as systems and trajectories. Depending on the trajectories of the components of the environment can be predicted development of industrial enterprises and management measures developed for correction. As components of the external environment, the trajectories of which must be taken into account when reflexively forecasting the development of an industrial enterprise are offered: the market of raw materials; groups of competitors; consumer groups; supplier groups; financial market; labor market. The model of taking into account the reflective connections between the system of the industrial enterprise and the components of the external environment is implemented in the PowerSim simulation package.