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Article

Muhammad Ashraf, Jamil Ahmad, Wareesa Sharif, Arslan Ali Raza, Muhammad Salman Shabbir, Mazhar Abbas and Ramayah Thurasamy

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Online Information Review, vol. 44 no. 4
Type: Research Article
ISSN: 1468-4527

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Article

Erhan Pişirir, Erkan Uçar, Oumout Chouseinoglou and Cüneyt Sevgi

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

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Article

Sara H. Hsieh and Crystal T. Lee

Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the…

Abstract

Purpose

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.

Design/methodology/approach

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

Findings

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.

Originality/value

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.

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Article

Roktim Sarmah, Neeraj Dhiman and Honey Kanojia

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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).

Research limitations/implications

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

Originality/value

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

Details

Journal of Indian Business Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4195

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Article

Rajasshrie Pillai and Brijesh Sivathanu

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Educational Management, vol. 34 no. 3
Type: Research Article
ISSN: 0951-354X

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Article

Marianna Sigala

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…

Abstract

Purpose

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.

Design/methodology/approach

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

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.

Research limitations/implications

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).

Practical implications

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.

Originality/value

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.

Details

Marketing Intelligence & Planning, vol. 28 no. 4
Type: Research Article
ISSN: 0263-4503

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Article

Chia‐Hui Yen and Hsi‐Peng Lu

The purpose of this study is to integrate expectancy disconfirmation theory (EDT) to explore cognitive beliefs and affect influencing an individual's intention to…

Abstract

Purpose

The purpose of this study is to integrate expectancy disconfirmation theory (EDT) to explore cognitive beliefs and affect influencing an individual's intention to repurchase in online marketplaces.

Design/methodology/approach

The paper used EDT to conduct an empirical study and data were collected from a total of 303 bidders of online auctions. A structural equation modeling (SEM) was used to assess the relationships of the research model.

Findings

The findings show that bidders' disconfirmation of online auctions is positively associated with their satisfaction, which in turn is positively associated with their repurchase intentions.

Practical implications

Both bidders' expectation of policy and auctioneers' performance of policy are important determinants of disconfirmation. Auctioneers need to recognize the distinctive roles of information policy in selling and bidding rules. Besides, neither bidders' expectation of sellers' reputation nor their expectation of service quality has a significant relationship with disconfirmation. This finding implies that in a mature e‐commerce environment bidders pay more attention to the sellers' performance than their prior expectation.

Originality/value

This study, which aims to shed light on bidder behavior in online auctions, is the first study that has applied an EDT‐based model to investigate the determinants of repurchase intention in online auctions.

Details

Internet Research, vol. 18 no. 1
Type: Research Article
ISSN: 1066-2243

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Article

Muhammad Mustafa Kamal and Marinos Themistocleous

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Transforming Government: People, Process and Policy, vol. 3 no. 2
Type: Research Article
ISSN: 1750-6166

Keywords

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Article

Susan Stead, Gaby Odekerken-Schröder and Dominik Mahr

This article investigates the role of schemas in shaping customer experiences in new servicescapes, across the customer journey. The authors take a customer perspective…

Abstract

Purpose

This article investigates the role of schemas in shaping customer experiences in new servicescapes, across the customer journey. The authors take a customer perspective that reveals how schematic information processing takes place at four pyramidal levels—event, touchpoint, encounter and concrete activities—that in turn lead to customer responses.

Design/methodology/approach

The study introduces a novel ethnographic schema elicitation technique (ESET), which enables unraveling schemas at the touchpoint level across the customer journey of a European grocery store that recently launched a new SST innovation. This tailored approach provides fine-grained insights into customer experiences at the moment they occur.

Findings

The conceptual framework unravels schematic information processing, as illustrated with an empirical study. The activation of different schemas and their modification is highlighted in rich qualitative data.

Research limitations/implications

Innovative service offerings require customers to adapt their existing behaviors. Understanding this highly individual process, which requires schema modification, could be furthered by longitudinal in-depth research.

Practical implications

By understanding schematic information processing, managers and policymakers can develop better strategies for activating sustainability or health-conscious schemas that guide customer behavior in positive directions.

Originality/value

By applying ESET to new self-service technology, the authors provide valuable insights for service managers and retailers. They show the particular need for prudence in changing schemas in ways that avoid negative cognitive, emotional or behavioral responses.

Details

Journal of Service Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-5818

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Article

Yanni Liu, Dongsheng Liu, Yufei Yuan and Norm Archer

The purpose of this paper is to investigate users’ continuous adoption behaviors on mobile game playing from the perspective of situational habit formation.

Abstract

Purpose

The purpose of this paper is to investigate users’ continuous adoption behaviors on mobile game playing from the perspective of situational habit formation.

Design/methodology/approach

Based on the literature research, a continuous adoption model for situational mobile game is proposed. And the research model is assessed based on data gathered from a sample of 226 mobile game players by employing the structural equation model methodology.

Findings

The results show that situational cues represented by availability, perceived ease of use and diversion lead to repeated performance that can be represented by flow experience and satisfaction in the situational mobile game playing context. But only flow experience and diversion influence continuous usage directly. Additionally diversion, as a critical situational variable, not only indirectly affects continuous usage intention through flow experience, but also directly affects continuous usage intention for situational mobile game playing.

Originality/value

Mobile game adoption has been studied from different perspectives, but most research is based on the technology acceptance model. They could not explain the common fact that young people tend to be highly motivated by mobile games and can be regarded as pro-active mobile game players, but many people play mobile games only when they are bored and need a diversion. So this study attempts to illustrate the phenomena to fill the gaps.

Details

Information Technology & People, vol. 31 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

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