Journal of Systems and Information Technology

Abdul Rahim, Noor Fareen; Abbasi, Ghazanfar Ali; Iranmanesh, Mohammad; Christopher, Nwakaji; Amran, Azlan

2023 Journal of Systems and Information Technology

doi: 10.1108/jsit-09-2020-0166

Despite the fact that the success of e-government services is contingent on their continuous usage, the continuance intention to use e-government services has received extremely little scholarly attention. This study aims to investigate the determinants of the residents’ continuous intention to use e-government services.Design/methodology/approachThe research model was developed based on the integration of technology continuance theory along with trust, transparency and habit constructs. The authors adopted a survey approach to collect the data. The data were collected using an online questionnaire from 260 residents of Penang in Malaysia.FindingsResults revealed that transparency has a positive effect on both perceived usefulness and trust. Contrary to earlier studies on e-government, perceived ease of use was found to have no significant relationship with residents' perceived usefulness. Similarly, the results also demonstrated that habit was not significantly related to users’ continuous intention to use e-government services. This study also applied importance-performance analysis map analysis and discovered that perceived usefulness has the highest impact on continuous intention to use e-government services, whereas satisfaction was found to have the least effect.Originality/valueThis study used an integrative framework and presented an in-depth knowledge of the basic aspects that contribute to the post-adoption usage process and resident satisfaction, trust and attitude towards e-government services.

Baltruschat, Lilly Marie; Jaiman, Vikas; Urovi, Visara

2023 Journal of Systems and Information Technology

doi: 10.1108/jsit-09-2022-0225

Blockchain systems have been proposed as a solution for exchanging electronic health records (EHR) because they enable data sharing in decentralised networks. This paper aims to analyse the user acceptability of blockchain technology in enabling EHR exchange and to formulate practical implications for increasing user acceptability.Design/methodology/approachA technology acceptance model [extended Unified Theory of Acceptance and Use of Technology (UTAUT) model] was used as a framework to measure the effects of 13 factors. The authors conducted a survey and analysed data from 214 participants using partial least square path modelling.FindingsThe acceptance of blockchain for EHR sharing is positively influenced by performance expectancy, social influence and perceived trust. Effort expectancy and facilitating conditions do not influence acceptance. The UTAUT model explains the variance in acceptance at 58.4%. Self-efficacy influences effort expectancy, incentives influence facilitating conditions and security predicts perceived trust.Practical implicationsThree implications are drawn: (1) Users need to clearly understand system’s purpose, functions, security mechanism and environmental impacts. (2) Users are incentivised to share health data via a blockchain solution if the technology offers personalising options and health information. (3) Health personnel can socially impact patients to use blockchain-based solutions.Originality/valueStudies have shown that blockchain technology is a valuable solution for exchanging EHR. The novelty of this work is to identify how and why patients may accept this emerging technology for EHR exchange.

Contreras Pinochet, Luis Hernan; Santos, Stefani da Silva; Pardim, Vanessa Itacaramby; de Souza, Cesar Alexandre

2023 Journal of Systems and Information Technology

doi: 10.1108/jsit-03-2022-0064

This study aims to investigate the effects of nomophobia in the organizational environment, and the authors developed a research model consisting of the construct's loneliness, depression and anxiety. The growing competitiveness of the market and the need of many companies regarding the availability of employees demand attention.Design/methodology/approachThe authors surveyed 454 Brazilian respondents and used covariance-based structural equation modeling to analyze the survey results. The model’s hypotheses proved significant, confirming the relationships proposed by the theoretical model.FindingsLoneliness and depression, rather than anxiety, explained the influence of nomophobia on individuals’ ability to communicate when inserted in the professional context. Individuals were most likely to have high nomophobia incorporate psychological traits that involve emotional instability, and could benefit from the connection between people in a social group.Practical implicationsThis study confirms that nomophobia can be a situational phobia evoked by the unavailability of a smartphone or by the idea of not having it, not being able to use it or losing it, even within the business context.Social implicationsThe increase in loneliness and depression indicates a deficiency in the face of the smartphone’s benefits.Originality/valueThis paper provides contributions that seek to understand the effect of symptoms from smartphones in the workplace, also indicating that users may cause vulnerability. Companies can prevent vulnerability by creating policies prohibiting their use in the organization’s context and developing healthy habits that do not lead to addiction.

Singh, Shubham; Hong, Paul C.; Jagani, Sandeep

2023 Journal of Systems and Information Technology

doi: 10.1108/jsit-07-2022-0181

This paper aims to examine the role of technology-enabled leadership (TEL) in achieving performance-enhancement outcomes. This empirical investigation is from a dynamic capabilities perspective.Design/methodology/approachA conceptual framework presents a general model with an overarching dynamic capabilities theory. The research model defines key variables – macroeconomic turbulence (MET), TEL, analytics-based responsiveness (ABR), knowledge-driven innovation (KDI) and performance enhancement outcomes (PEOs). Empirical tests of eight hypotheses are conducted using an original survey instrument based on the respondents (n = 203).FindingsIn response to MET, TEL is crucial in implementing ABR in strategic planning aspects and KDI in operational dimensions. In turn, ABR and KDI are key mediating variables that achieve a desirable level of PEOs.Research limitations/implicationsDespite the limitations associated with survey-based research, the findings suggest robust analytical results. For example, the alternative model suggests that MET negatively moderates the positive impact of TEL on ABR, while KDI positively moderates the positive impact of ABR on PEOs.Practical implicationsOutstanding firms demonstrate both TEL and data-savvy decision-making processes. Knowledge-intensive innovation allows firms to achieve multiple performance outcomes that help firms survive and thrive in challenging market environments.Social implicationsThere has been a growing concern about how firms use customers’ data in choosing their business practices. Customers are concerned about privacy and data security issues if firms misuse the data while pursuing profit-based goals. However, this empirical investigation confirms that business analytics improve firm performance (e.g. firm productivity enhancements), ultimately benefiting the customers. Providing relevant data to firms has potentially positively enhanced customer services and thus benefits societal well-being.Originality/valueUsing an original survey instrument, this research empirically tests a research model that defines the complex paths between TEL and competitive performance outcomes.