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The public sector use of the internet of Things (IoT) technology is an emerging field with a potential for a variety of institutional applications in the fields of information gathering and policy implementation to establish resilience for modern society. In this context, we aim to investigate the success factors which can positively influence the continuous usage intention of IoT service with the mediation effect of perceived public value.

A conceptual model based on the strong literature and theoretical background is tailored to provide factors for IoT services success in the public sector. A quantitative survey was conducted through 381 citizens using IoT services to validate the proposed conceptual model using structural equation modeling approach in order to examine the influence of identified constructs on the continuous usage intention.

The results highlighted that the proposed model successfully accounted for about 59% perceived variance in public value creation and 63% perceived variance in citizens' continuous usage intention. IoT services success is best dignified by the perceptions of citizens who use the services, therefore, this study identifies the positive role of digital society affinity in context of social sustainability and it climaxes that the real value of IoT in public sector comes from establishment of services on top of the service delivery and that's where the public value is going to be created.

The use of IoT technology in public services will fetch much benefit to the citizens as well as to the government. The study findings are significant in identifying good practices for generating public value in digital society affinity.

The integrated conceptual model explores the driving factors of citizens' inclination towards IoT technology in a social context. Through this study, we can analyze the role of perceived public value in enhancing the citizens' engagement with IoT services. The government policymakers and ICT managers take help from this study to designing IoT public services with making the government more responsive to citizens.

This study examines the role of continuous trust (i.e., a trust that develops over time as a result of continuous usage interactions) in determining customers' intention to continue using online product recommendations (OPRs).

Based on information system (IS), continuance model, and continuous trust, we propose that continuous trust will influence customers’ intention to continue OPRs’ use directly and indirectly via their satisfaction and usefulness of the OPRs. The research model is tested using data collected via an online survey from 626 existing users of OPRs in 15 different countries.

The empirical results revealed that continuous trust is shown to be a significant predictor of customers’ intention to continue OPRs use for future purchases. Additionally, the customers’ perceived confirmation and continuous trust positively influence their perceived usefulness and satisfaction with the OPRs, which subsequently influence customers’ OPRs continuous usage intention.

The saliency of continuous trust and usefulness of OPRs present e-retailers with potential fruitful areas to shape future usage of OPRs. In addition, e-retailers must understand that improving the OPR usefulness on its own may not lead to OPRs continuous usage until OPRs trustworthiness is not continually improved. OPRs itself may be convenient and useful, but trustworthy OPRs will pay stronger dividends for customer satisfaction and OPRs’ continuous usage.

The incorporation of continuous trust into the IS continuance model offers a new theoretical lens and an alternative explanation for the OPR continuous usage intention. This study stands in contrast to the large majority of research concerning initial trust and OPRs adoption, in that it focuses on continuous trust (as opposed to initial trust) and on a customers’ OPRs continuous usage intention as opposed to the initial adoption decision.

This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design.

Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions.

A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors.

Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers.

A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data.

Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants.

AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.

A lack of reliable and effective communication tools poses major barriers impeding the performance of construction projects consisting of diverse participants. Although some construction project teams (CPTs) begin to apply social media (SM) as an available approach for project management the entire mechanism of SM adoption in this specific context remains understudied. Therefore, this study aims to adopt a CPT's lens to investigate the critical antecedents and associated effects underlying SM adoption in the construction industry.

Based on the technology–organization–environment (TOE) theory, a conceptual model was proposed and tested by empirical data collected from 159 CPTs in China. Structural equation modeling technique was employed for data analysis.

The results demonstrate that all the five extracted TOE-based antecedents including two technological factors (i.e. compatibility and expected cost), one organizational factor (i.e. top management support) and two environmental factors (i.e. project partner collaboration and project fit) are crucial to the adoption of SM in CPTs. Besides, SM acceptance is found to mediate the relationships between organizational and environmental factors and SM use. Moreover, SM use significantly predicts the communication effectiveness of CPTs.

A questionnaire study based on cross-sectional data from China may only unveil the logic of SM adoption in the context of Chinese construction industry within a shorter time interval. It is recommended that future research could develop longitudinal studies among various construction practitioners in different countries to further specify and generalize the current findings.

This paper provides a comprehensive understanding of SM adoption in the construction industry by exploring the preadoption antecedents and postadoption effects from the perspective of project teams. The empirical findings advance the current web-based project management literature and afford new insights for construction practitioners into better managing SM application to reap its full capabilities in projects.

The present study aims to probe into the determinants of mobile wallet adoption by millennials with the assistance of extended technology acceptance model.

The data was collected from the students studying professional courses in leading private universities in the north region of India. Keeping in view of the objective and hypotheses, the Partial Least Square Structural Equation Modeling (PLS -SEM) technique was used to test the proposed model.

The tested model brings into notice the imperative observation, which clearly outlines that there are all significant relationships, which can be observed herein. To explicitly state: perceived ease of use (PEOU) has a significant positive relationship with the perceived usefulness followed by PEOU also shares a significant positive relationship with the behavioral intention, and lastly trust as a variable under study establishes a significant positive relationship with actual use (AU).

Implications for the banking industry are to ensure the safety and privacy (financial information) confidential.

The present study contributes to the literature of mobile wallet in the developing nations.

The purpose of this paper is to investigate the online learning experience (LE) of massive open online courses (MOOCs) among the students in India using the lens of community of inquiry (CoI) model and two additional contextual factors.

The study conducted a survey using a structured questionnaire among the undergraduate and postgraduate students to examine the LE of MOOCs using the CoI framework and contextual variables – technical barrier (TB) and hedonic motivation (HD). The primary data were analyzed with the partial least squares structural equation modeling technique.

The results show that teaching presence (TP) influences cognitive presence (CP) and social presence (SP). SP influences CP. It is also found that TP, SP and CP influence the LE of MOOCs. It is found that TB negatively influences LE but is not significant and HD significantly influences LE positively for MOOCs.

This study has a few limitations as it is a cross-sectional study in India, which surveyed undergraduate and postgraduate MOOCs learners, and caution needs to be taken while generalizing the outcomes. Further studies can be conducted across other countries considering demographic factors like age, gender, income groups, education and profession.

This research highlights the antecedents influencing the LE of MOOC learners using the CoI framework which will help the MOOC designers and marketers to apprehend the factors influencing LE. The results of this research will help them formulate suitable strategies in the design and delivery of MOOCs to improve the LE of learners.

This unique research investigates and empirically validates the CoI framework to understand LE of MOOC learners in India. This research extends the CoI framework by adding contextual factors – TB and HD in the context of a developing country.

The COVID-19 pandemic has introduced new challenges for auditors to provide high-quality audits. These challenges pose interesting questions about the ability of auditors to obtain audit evidence and ensure appropriate conclusions. In response to these questions, this paper aims to examine how self-efficacy affects the auditors’ effort and performance during COVID-19 and how remote audit proficiency helps them respond to these challenges, as reflected in more effort and high-quality performance.

To test the hypotheses, this study used a quantitative approach in which 193 Saudi auditors were surveyed and partial least squares structural equation modeling was used to analyze the data.

The authors demonstrated that self-efficacy is positively associated with the perceived audit effort and performance during the COVID-19 crisis. The results also showed that remote audit proficiency plays a significant role during COVID-19 as it can help auditors exert more effort and perform audit activities effectively. This study also found that remote audit mediates the association between self-efficacy and both effort and performance during COVID-19. These results are also asserted under several robust analyses.

To the best of the authors’ knowledge, these findings provide the first evidence on the effect of COVID-19 on auditors and have implications for both theory and practice.

The purpose of this paper is to explore and validate the adoption lifecycle phases and perform the mapping of factors influencing the decision making process for enterprise application integration (EAI) adoption on the adoption lifecycle phases in two local government authorities (LGAs).

A case study based research approach using interviews with the decision makers is utilised to investigate the less acknowledged phenomena like EAI adoption. This approach assists in examining the phenomenon in its natural setting, examining the in‐depth complexities and processes, and providing considerable flexibility during interviews and observations.

According to the empirical findings, the factors influencing EAI adoption and the adoption lifecycle phases are appropriate for studying the research context. The analysis and study of the factors and adoption lifecycle phases is made carefully and specifically to fit and be compatible within the context of LGAs. As a result, it is apparent from the empirical findings that most of the factors influence the decision making process for EAI adoption on each phase of the adoption lifecycle in the case organisations with exception to few factors.

The combination of theoretical discussions, analysis of the literature and empirical research presented in this paper illustrates the start of research on EAI adoption in LGAs. However, the theoretical and empirical data collected are confined to the limited context of two LGAs within the region of England. The structure of LGAs varies in different parts of the UK. In the light of the reflections and the research limitations of this paper it is recommended that further work could usefully be pursed to validate the adoption lifecycle phases and perform the mapping of the factors at each phase of the adoption lifecycle in the context of other types of LGAs, different cities and countries.

From a conceptual and empirical point of view, none of the existing EAI adoption studies investigated the mapping of the factors influencing EAI adoption on the adoption lifecycle phases. In doing so, the authors consider this as a literature void and report that it is important to understand and manage the EAI adoption process in LGAs. The mapping of factors process is substantial as it may enhance the analysis of EAI adoption process in LGAs and further facilitate the decision makers in realising the importance of EAI adoption factors.

The paper first aims to analyse the role and functionality of geocollaborative portals in assisting collaborative trip planning processes and then it seeks to develop and test a model for measuring the multi‐dimensionality of customer value perceived by system users.

Primary data are collected from students assigned to use Yahoo! Trip Planner for collaboratively designing an hypothetical trip. A two step approach of an exploratory factor analysis and confirmatory factor analysis was used for testing the model measuring the types of customer value derived from the system use.

Findings provide evidence of the existence of both “give” (risk, time and effort to use the system) and “get” (functional, social and emotional) customer values.

Findings are limited to the demographics of the students' sample, while future research should also try to replicate the study in other contexts (e.g. cultures, type of trips and destinations).

The findings provide useful information about the value dimensions that can affect customer behaviour in using and preferring a particular geocollaborative portal, which in turn give useful guidance on how to design and develop the functionality and services of such systems.

The paper contributes to the fields related to the role of geocollaborative portals in supporting collaborative decision processes and the types of customer value deriving from and motivating technology use. The paper also contributes to the field related to user toolkits developed to assist customers in designing and customising products/services.