The expectation-confirmation model (ECM) of IT continuance is a model for investigating continued information technology (IT) usage behavior. This paper reports on a study that attempts to expand the set of post-adoption beliefs in the ECM, in order to extend the application of the ECM beyond an instrumental focus. The expanded ECM, incorporating the post-adoption beliefs of perceived usefulness, perceived enjoyment and perceived ease of use, was empirically validated with data collected from an on-line survey of 811 existing users of mobile Internet services. The data analysis showed that the expanded ECM has good explanatory power (R 2 = 57.6% of continued IT usage intention and R 2 = 67.8% of satisfaction), with all paths supported. Hence, the expanded ECM can provide supplementary information that is relevant for understanding continued IT usage. The significant effects of post-adoption perceived ease of use and perceived enjoyment signify that the nature of the IT can be an important boundary condition in understanding the continued IT usage behavior. At a practical level, the expanded ECM presents IT product/service providers with deeper insights into how to address IT users' satisfaction and continued patronage.

The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

To better understand users’ technology utilisation behaviour, a construct named technology dependence is suggested; as well a technology dependence model is proposed and empirically tested. Based on the literature on marketing, information systems’ utilisation, and psychology, a comprehensive set of constructs and hypotheses are compiled with a methodology for testing them in this paper. A questionnaire was designed and data were collected from 255 users of smartphones in Korea, mainly consisting of students and academics. Structural equation modelling was then applied to analyse the data. The result indicated that engagement is the strongest indicator of technology dependence along with user satisfaction. User satisfaction is affected by engagement and responsiveness of the technology. And all three dimensions of interactivity, namely, control, communication, and responsiveness, are revealed to be significant indicators of engagement. Based on the findings, the model develops useful insights into the factors that influence technology dependence and provides new ideas in understanding technology utilisation.

Interactivity, engagement, and technology dependence: understanding users’ technology utilisation behaviour

Mobile apps for SME business sustainability during COVID-19 and onwards

The world of work and education is changing at a rapid pace, driven by continued technological disruption and automation. The future is uncertain and difficult to envisage. A futures thinking scenario planning approach is used in exploring and guiding education policy makers on how best to respond to the range of possible futures. The paper aims to discuss this issue.,This study utilizes elements of prior scenario planning methodologies to devise a practical model of preferred and plausible likely scenarios in the context of rapid and continuing technology disruption. Based on the notion of “impact and uncertainty,” two possible future alternatives of work and learning were developed. Incorporating elements of the possibility space scenario framework and a vignette approach of current emergent technologies, this paper assessed the usefulness of the preferred and likely outcomes.,While preferred future scenarios entailing collaborative styles such as human–machine cooperation, smart virtual active learning campuses and living knowledge learning environments may produce more desirable benefits for education stakeholders, the more likely plausible scenario is one based on continued disruptive technologies. Automation, artificial intelligence and the advent of 5G network technologies will drive customization and personalization in higher education delivery and revolutionize the work landscape in the immediate future. Universities will need to embrace and respond to these changes.,The paper gives insights into how universities can prepare their students for future of work and improve their employability. In addition, this author recommends ways in which HEIs can leverage these newer technologies to drive educational services and commercial value.

Scenario based approach to re-imagining future of higher education which prepares students for the future of work

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 c...

Information systems and performance: the role of technology, the task and the individual

The effect of Fair information practices and data collection methods on privacy-related behaviors: A study of Mobile apps

Organizations 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. Previous research shows that knowledge and perceived usefulness factors have direct effects on performance. However, the literature also recognizes that there may be different man–machine arrangements to carry out the tasks (level of automation). This study, using a multi-disciplinary approach, evaluates empirically whether the level of intervention moderates the effects of knowledge and perceived usefulness on performance. A questionnaire was used to collect data from 201 users in different organizations and different functional areas. The structural equations model was used for analysis. The results show that the degree of automation moderates the direct relationships. Thus, in structured and proceduralized environments, at high levels of automation, the relevance of knowledge of the task may decrease, and at low levels of intervention, the relevance of perceived usefulness may fall.

Performance in computer-mediated work: the moderating role of level of automation

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.,Data collected from ERP users were analysed using partial least squares.,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.,This study introduces migration theory to the IS literature as a basis for comprehensively explaining adaptation in organisational settings.,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.,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.

Individual adaptive performance in computer-mediated work: a migration perspective

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.

/pdf/understanding-continuance-usage-of-natural-gas-a-theoretical-5flju1p05f.pdf

Edgardo R. Bravo

Papers

Information systems and performance: the role of technology, the task and the individual

The effect of Fair information practices and data collection methods on privacy-related behaviors: A study of Mobile apps

Performance in computer-mediated work: the moderating role of level of automation

Individual adaptive performance in computer-mediated work: a migration perspective

Understanding Continuance Usage of Natural Gas: A Theoretical Model and Empirical Evaluation