Organisations require good performance from individuals to achieve their objectives. In view of the growing presence of technology, it becomes necessary to understand performance in the context of information systems. However, the research streams that study performance (e.g. industrial psychology or the impact of technology on performance) focus primarily on a single component (the individual or the technology). The systemic perspective, for its part, considers all three components (technology, the individual and the task) and their relationships in order to explain performance. From this perspective, this article develops a research model where individual (knowledge of the task and the technology), task (ease) and technology (usefulness and ease) factors determine performance. Links are also established between these factors. Data were collected from 246 individuals and the results show that the proposed links are significant. This research highlights that management should take into account all three components to boost performance. The study emphasises in which factors of these components special care should be taken. The lack of improvement in performance after the introduction of an information system may not be solved merely by tackling the features of the technology but also by simplifying the tasks or reviewing the users’ knowledge gaps.

Previous studies on the impact of technology on performance (usefulness) have looked at the Information System (IS) in its role as supplier of information (informating role) and thus they have studied the influence of information quality and system quality on usefulness. However, an IS also has a role in the automation of tasks (automating role), which these studies do not take into account. Accordingly, this paper proposes a factor model that (1) includes explicitly both roles; (2) considers that informating and automating roles mediate the relation between these technological factors (information quality and system quality) and usefulness and (3) includes a system’s level of intervention (i.e. the degree to which technology participates in carrying out the tasks) as an additional factor that determines usefulness. Using a questionnaire, data were gathered on 229 Enterprise Resource Planning system users from different organisations and functional areas and structural equations model was used for analysis. Results show that information quality explains usefulness through both roles. System’s level of intervention explains usefulness through the automating role and system quality explains usefulness through the informating role. The factors’ differentiated effects through each role may help managers to establish more effective criteria and priorities in the various stages of an IS’s life cycle.

Purpose: In dynamic environments, employees should respond to changing demands carrying out actions to achieve proper knowledge of the information systems (IS) that they use (individual adaptation). However, few studies have investigated the determinants of this behaviour. This study proposes and empirically evaluates a cognitive-attitudinal model grounded in migration theory, which considers push, pull and mooring factors.Design/methodology/approach: Data collected from ERP users were analysed using partial least squares.Findings: Coherent with migration theory, the results show that the individual adapts influenced by push factors (dissatisfaction with their current command of the IS), pull factors (expected benefits from improving their command) and mooring factors (attitude to the adaptation process). Also, inertia and cost of adaption impact on attitude.Research limitations/implications: This study introduces migration theory to the IS literature as a basis for comprehensively explaining adaptation in organisational settings.Practical implications: The results suggest that management should: exhibit the instrumental benefits of a solid command of the IS; show the current gap in employee knowledge to revert it and, introduce changes to move employees out of their comfort zone to encourage ongoing learning and reduce resistance.Originality/value: While previous studies have focused on the implementation stage and the emotional factors to explain adaptation, this study intends to bridge this gap by investigating cognitive-attitudinal factors that trigger the intention to adapt in the post-adoption stage. The findings of this study are useful to researchers in adaptation behaviour, and to managers to promote IS learning for their staff.

The adoption of natural gas increased notably last years, and there is some recognition that it improves the quality of life of inhabitants. While initial acceptance is an essential first step, the continued use is relevant to the long-term success of any technology. However, the literature on energy has focused on adoption and has devoted less attention to models that explain continuance usage. Accordingly, this study developed a model to explain continuance usage, grounded in Expectation-Confirmation Model (ECM). Unlike adoption models, confirmation of previous expectations and satisfaction with the experience of use have a relevant role in this phenomenon. Data was gathered through a questionnaire to 435 users of the service in a Latin American metropolis, and structural equations model was used for analysis. The results show that constructs of the ECM (perceived usefulness, disconfirmation, and satisfaction) influences on continuance intention. While the price impacts as expected, it is surprising that environmental consciousness strongly impacts the intention. These results may be useful for public agents to foster more comprehensive policies (beyond traditional: price and access), which include environmental and safety issues to consolidate the use of this energy source. Energy companies should develop strategies to manage consumer expectations and loyalty programs based on a high level of satisfaction.