Journal of Systems and Information Technology

Alshare, Khaled A.; Alomari, Mohammad Kamel; Lane, Peggy L.; Freeze, Ronald D.

2019 Journal of Systems and Information Technology

doi: 10.1108/jsit-08-2018-0108

Expert systems (ES) design emulates expertise with the intention that the ES be used by non-experts. This study aims to predict end-user intention and use of ES by proposing a research model that extends the basic components of the unified theory of acceptance and use of technology (UTAUT) by including additional relevant factors to ES, including the expert domain, perceived relevance, reliability, quality of ES and management support, which directly and indirectly influence the end-user intention to use an expert system.Design/methodology/approachA structural equation model (SEM), using LISREL, was used to test the measurement and structural models using a sample of 205 end-users of expert systems in the USA. These users of expert systems come from a variety of domains. The factors include both internal and external factors for the individual level of analysis design of this study.FindingsThe results showed behavioral intention had the strongest effect on usage, followed by perceived relevance. With respect to the factors that impact intention, perceived relevance had the strongest total effect, followed by attitude. For attitude, effort expectancy had the strongest total effect, followed by management support and perceived relevance.Research limitations/implicationsThe results of this study should assist decision-makers in planning training and communications about the use of expert systems so that the expert systems will be used as intended.Originality/valueThe originality of this work resides in the addition of external factors to the UTAUT model that helps provide advice to practitioners in the support needed to insure expert system implementation success.

Anthony Jnr., Bokolo; Abdul Majid, Mazlina; Romli, Awanis

2019 Journal of Systems and Information Technology

doi: 10.1108/jsit-10-2017-0083

The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility.Design/methodology/approachData were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool.FindingsResults from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool.Research limitations/implicationsThe sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems.Practical implicationsPractically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth.Social implicationsThis study presents how case-oriented agents aid educational institutions in going green for environmental responsibility. Socially, this research provides the strategies for green practice improvement in educational institutions toward environmental responsibility.Originality/valueThe eco-responsibility decision support tool provides a Web-based platform for promoting ecological protection by supporting the measuring of practitioners’ current green practices for environmental responsibility. Thus, research findings from this study are expected to help decision-makers generate useful insights into environment-friendly strategies to be implemented in educational institutions. Lastly, the statistical tests adopted in this paper can be used to gauge the feasibility of information system application in future.

Ali, Mazen; Wali, Esra; Al-Hinai, Yousef; Kurnia, Sherah

2019 Journal of Systems and Information Technology

doi: 10.1108/jsit-10-2017-0085

Most studies of mobile commerce (MC) adoption by individuals have focused on the influence of a set of factors at a single point in time, and thus, cannot capture the process by which the individuals progress from simple to sophisticated MC adoption. This paper aims to enhance the current understanding of MC adoption by using a process approach to investigate MC adoption progression among individuals and the factors influencing their decisions to adopt different MC activities of varying complexity levels over time.Design/methodology/approachA qualitative research design was used. Data were collected through a series of semi-structured face-to-face interviews with 22 users of mobile devices to understand how they progressed in MC adoption over time and the factors influencing their decisions to adopt different levels of MC activities. The data were analyzed using qualitative data analysis techniques.FindingsThe findings showed reciprocal influences between individuals’ perceptions and MC adoption. As individuals adopted and gained experience with basic MC activities, their perceptions of MC improved over time, leading to the adoption of more advanced MC activities.Originality/valueThis research proposes a novel process approach and an innovative MC Adoption Maturity model to explain MC adoption progression over a time dimension. The model includes three levels of MC adoption maturity and explains adoption progression from one level to the next. The concept of MC adoption maturity will enable researchers to understand changes in users’ experiences and perceptions throughout adoption maturity progression.

Salonen, Ville; Karjaluoto, Heikki

2019 Journal of Systems and Information Technology

doi: 10.1108/jsit-06-2017-0042

The purpose of this paper seeks to develop a motivation-based complementary framework for temporally dynamic user preferences to facilitate optimal timing in web personalisation. It also aims to highlight the benefits of considering user motivation when addressing issues in temporal dynamics.Design/methodology/approachThrough theory, a complementary framework and propositions for motivation-based temporal dynamics for further testing are created. The framework is validated by feeding back findings, whereas some of the propositions are validated through an experiment.FindingsThe suggested framework distinguishes two ways (identifying/learning and shifting) of using a motive-based approach to temporal dynamics in web personalisation. The suggested outcomes include enhanced timing in matching current preferences and improved conversion. Validation measures predominantly support both the framework and the tested propositions. The theoretical basis for the approach paves a path towards refined psychological user models; however, currently on a complementary level.Research limitations/implicationsWhile the framework is validated through feeding back findings, and some of the propositions are validated through basic experimentation, further empirical testing is required.Practical implicationsA generalised approach for complementing personalisation procedures with motivation-based temporal dynamics is offered, with implications for both user modelling and preference matching.Originality/valueThis paper offers novel insights to web personalisation by considering the in-depth effects of user motivation.

Nayak, Bishwajit; Bhattacharyya, Som Sekhar; Krishnamoorthy, Bala

2019 Journal of Systems and Information Technology

doi: 10.1108/jsit-08-2018-0109

This study aims to explore the impact of the adoption of wearable technology products for Indian health insurance firms. It identifies the key dynamic capabilities that health insurance firms should build to manage big data generated by wearable technology so as to attain a competitive advantage.Design/methodology/approachA qualitative exploratory study using in-depth personal interviews with 53 Indian health insurance experts was conducted with a semi-structured questionnaire. The data were coded using holistic and pattern codes and then analyzed using the content analysis technique. The findings were based on the thematic and relational intensity analysis of the codes.FindingsAn empirical model was established where all the propositions were strongly established except for the moderate relationship between wearable technology adoption and product innovation. The study established the nature of the interaction of variables on technology policy, organizational culture, strategic philosophy, product innovation, knowledge management and customer service quality with wearable technology adoption and also ascertained its influence on firm performance and competitive advantage.Research limitations/implicationsFrom a dynamic capabilities perspective, this study deliberates on wearable technology adoption in the health insurance context. It also explicates the relationship between the variables on technology policy, organizational culture, strategic philosophy, product innovation, knowledge management and customer service quality with wearable technology adoption on firm performance.Originality/valueThis study is one of the first studies to add the context of wearable technology and health insurance to the existing body of knowledge on dynamic capabilities and sustainable competitive advantage for the service sector. It would help existing and prospective players in adopting or setting up appropriate business models.