An empirical investigation of habitual usage and past usage on technology acceptance evaluations and continuance intention

Affective memories and perceived value: motivators and inhibitors of the data search-access process

Purpose

As an emerging tool for data discovery, data retrieval systems fail to effectively support users' cognitive processes during data search and access. To uncover the relationship between data search and access and the cognitive mechanisms underlying this relationship, this paper examines the associations between affective memories, perceived value, search effort and the intention to access data during users' interactions with data retrieval systems.

Design/methodology/approach

This study conducted a user experiment for which 48 doctoral students from different disciplines were recruited. The authors collected search logs, screen recordings, questionnaires and eye movement data during the interactive data search. Multiple linear regression was used to test the hypotheses.

Findings

The results indicate that positive affective memories positively affect perceived value, while the effects of negative affective memories on perceived value are nonsignificant. Utility value positively affects search effort, while attainment value negatively affects search effort. Moreover, search effort partially positively affects the intention to access data, and it serves a full mediating role in the effects of utility value and attainment value on the intention to access data.

Originality/value

Through the comparison between the findings of this study and relevant findings in information search studies, this paper reveals the specificity of behaviour and cognitive processes during data search and access and the special characteristics of data discovery tasks. It sheds light on the inhibiting effect of attainment value and the motivating effect of utility value on data search and the intention to access data. Moreover, this paper provides new insights into the role of memory bias in the relationships between affective memories and data searchers' perceived value.

Online Recommendation Systems: Factors Influencing Use in E-Commerce

The increasing use of artificial intelligence (AI) to understand purchasing behavior has led to the development of recommendation systems in e-commerce platforms used as an influential element in the purchase decision process. This paper intends to ascertain what factors affect consumers’ adoption and use of online purchases recommendation systems. In order to achieve this objective, the Unified Theory of Adoption and Use of Technology (UTAUT 2) is extended with two variables that act as an inhibiting or positive influence on intention to use: technology fear and trust. The structural model was assessed using partial least squares (PLS) with an adequate global adjustment on a sample of 448 users of online recommendation systems. Among the results, it’s highlighted the importance of the inhibiting role of technology fear and the importance that users attach to the level of perceived trust in the recommendation system are highlighted. The performance expectancy and hedonic motivations have the greatest influence on intention to use these systems. Based on the results, this work provides a relevant recommendation to companies for the design of their e-commerce platforms and the implementation of online purchase recommendation systems.

Habit

Most IS studies considered post-adoption behavior as a cognitive process but rarely took a habitual perspective. The present study developed a research model to investigate the antecedents and effects of users' habit in the context of social networking websites (SNW). It used a two-stage survey and partial least squares (PLS) analysis to test the model. It found that a user's habit of using an SNW is developed through his prior usage, enjoyment, social interaction ties, and satisfaction, and that his habit consequently affects his online self-presentation desire and actual continued usage of SNW. The model accounts for 46.5% of the variance in SNW habit, and 33.5% of the variance in SNW continuance usage, respectively. This is one of the first studies that integrate the essential construct of habit with traditional cognitive, affective, and intentional factors into an SNW continuance model. The findings not only contribute to the theoretical development of IS continuance, but also provide insights for SNW practitioners to understand users' habit and develop sustainable strategies accordingly.

Acceptance of post-adoption unanticipated is usage

Information Systems (IS), as social artifacts, are open to interpretation during use. This flexibility creates opportunities for individuals to use systems in unanticipated ways to better fit particular tasks. Yet such unanticipated usage is counter to the use of IS as vehicles for managerial control and ensuring consistency in transaction processing across organizations. To effectively manage this tension a structured appreciation of post-adoption IS usage in its social context is required. Through a case study of users in a large Australian accommodation chain we develop a taxonomy of system usage, exploring unanticipated usage to meet workplace demands, its underlying motivations, implications for transaction processing consistency and ultimately operational and/or managerial decision making.