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1 – 10 of 437Xiang Gong, Kem Z.K. Zhang, Chongyang Chen, Sesia J. Zhao and Matthew K.O. Lee
The advancements of mobile technologies and devices have greatly facilitated the extension of online services from web to mobile environments. Drawing on the categorization…
Abstract
Purpose
The advancements of mobile technologies and devices have greatly facilitated the extension of online services from web to mobile environments. Drawing on the categorization theory, the purpose of this paper is to explore the impact of perceived entitativity on users’ web-mobile service extension behavior. The research model considers how perceived entitativity serves as a category cue to link the category- and piecemeal-based processing and shape users’ adoption of extended mobile services.
Design/methodology/approach
An online survey (n=552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.
Findings
The results offer two major findings. First, performance expectancy, perceived controllability and subjective norm are important antecedents of users’ usage intention. Second, perceived entitativity has three types of effects on usage intention: it exerts a direct and positive influence on usage intention; it indirectly facilitates usage intention through increasing PE and perceived controllability; and it moderates the relationship between subjective norm and usage intention.
Originality/value
This study contributes to the literature by taking into account the interplay of category- and piecemeal-based processing to understand consumers’ web-mobile service extension behavior.
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Xiang Gong, Kem Z.K. Zhang, Chongyang Chen, Christy M.K. Cheung and Matthew K.O. Lee
Drawing on the control agency theory and the network effect theory, the purpose of this paper is to examine the effect of privacy assurance approaches, network externality and…
Abstract
Purpose
Drawing on the control agency theory and the network effect theory, the purpose of this paper is to examine the effect of privacy assurance approaches, network externality and technology complementarity on consumers’ self-disclosure in mobile payment (MP) applications. The authors identify four types of privacy assurance approaches: perceived effectiveness of privacy setting, perceived effectiveness of privacy policy, perceived effectiveness of industry self-regulation and perceived effectiveness of government legislation. The research model considers how these privacy assurance approaches influence privacy concerns and consumers’ self-disclosure in MP applications under boundary conditions of network externality and technology complementarity.
Design/methodology/approach
An online survey with 647 sample users was conducted to empirically validate the model. The target respondents were current consumers of a popular MP application. The empirical data were analyzed by a structural equation modeling approach.
Findings
The empirical results reveal several major findings. First, privacy assurance approaches can effectively decrease privacy concerns, which ultimately formulates consumers’ self-disclosure in MP applications. Second, network externality and technology complementarity weaken the effect of perceived effectiveness of privacy setting on privacy concerns. Third, network externality and technology complementarity strengthen the relationship between perceived effectiveness of government legislation and privacy concerns, while they have non-significant interaction effect with perceived effectiveness of privacy policy and industry self-regulation on privacy concerns.
Practical implications
MP providers and stakeholders can harness the efficacy of privacy assurance approaches in alleviating privacy concerns and promoting consumers’ self-disclosure in MP applications.
Originality/value
The authors’ work contributes to the information privacy literature by identifying effective privacy assurance approaches in promoting consumers’ self-disclosure in MP applications, and by highlighting boundary conditions of these privacy assurance approaches.
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The engagement–addiction dilemma has been commonly observed in the information technology (IT) industry. However, this issue has received limited research attention in the…
Abstract
Purpose
The engagement–addiction dilemma has been commonly observed in the information technology (IT) industry. However, this issue has received limited research attention in the information system (IS) discipline. Drawing on the stimulus–organism–response (SOR) framework, this study explores the engagement–addiction dilemma in the use of mobile games and highlights the impacts of game design features, namely, mobile user interface and mobile game affordance.
Design/methodology/approach
The research model was empirically validated using a longitudinal survey data from 410 mobile game users in China.
Findings
The empirical results offer several key findings. First, mobile user interface and mobile game affordance positively affect telepresence and social presence, which lead to meaningful engagement and mobile game addiction. Second, a high-quality of mobile user interface positively moderates the effects of mobile game affordance on telepresence and social presence.
Originality/value
This study contributes to the literature by theorizing and empirically testing the impacts of game design features on the engagement-addiction dilemma.
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Xiang Gong, Kem Z.K. Zhang, Chongyang Chen, Christy M.K. Cheung and Matthew K.O. Lee
Drawing on the social learning theory, the purpose of this paper is to examine the antecedents and consequences of users’ excessive online social gaming. Specifically, the authors…
Abstract
Purpose
Drawing on the social learning theory, the purpose of this paper is to examine the antecedents and consequences of users’ excessive online social gaming. Specifically, the authors develop a model to propose that observational learning and reinforcement learning mechanisms together determine excessive online social gaming, which further foster adverse consequences.
Design/methodology/approach
The model is empirically validated by a longitudinal survey among users of a popular online social game: Arena of Valor. The empirical data are analyzed using component-based structural equation modeling approach.
Findings
The empirical results offer two key findings. First, excessive online social gaming is determined by observational learning factors, i.e. social frequency and social norm, and reinforcement learning factors, i.e. perceived enjoyment and perceived escapism. Second, excessive online social gaming leads to three categories of adverse consequences: technology-family conflict, technology-work conflict and technology-person conflict. Meanwhile, technology-family conflict and technology-work conflict further foster technology-person conflict.
Originality/value
This study contributes to the literature by developing a nomological framework of excessive online social gaming and by extending the social learning theory to excessive technology use.
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Wei Wu, Qianwen Yang, Xiang Gong and Robert M. Davison
Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing…
Abstract
Purpose
Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.
Design/methodology/approach
A survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.
Findings
The empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.
Originality/value
This study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.
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Wei Wu and Xiang Gong
Crowdworkers' sustained participation is critical to the success and sustainability of the online crowdsourcing community. However, this issue has not received adequate attention…
Abstract
Purpose
Crowdworkers' sustained participation is critical to the success and sustainability of the online crowdsourcing community. However, this issue has not received adequate attention in the information systems research community. This study seeks to understand the formation of crowdworker sustained participation in the online crowdsourcing community.
Design/methodology/approach
The research model was empirically tested using online survey data from 212 crowdworkers in a leading online crowdsourcing community in China.
Findings
The empirical results provide several key findings. First, there are two different types of sustained participation: continuous participation intention (CPI) and increased participation intention (IPI). Second, extrinsic motivation and intrinsic motivation positively influence crowdworker CPI and IPI. Third, community commitment negatively moderates the effects of extrinsic motivation on CPI and IPI, while it positively moderates the effects of intrinsic motivation on CPI and IPI.
Originality/value
This study has significant implications for research on online crowdsourcing community and provides practical guidance for formulating persuasive measures to promote crowdworker sustained participation in the community.
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Kem Z.K. Zhang, Xiang Gong, Chongyang Chen, Sesia J. Zhao and Matthew K.O. Lee
Drawing from the spillover effect literature, the purpose of this paper is to investigate the spillover effect in consumers’ web-mobile payment extension behavior. The authors…
Abstract
Purpose
Drawing from the spillover effect literature, the purpose of this paper is to investigate the spillover effect in consumers’ web-mobile payment extension behavior. The authors figure out two categories of factors associated with the spillover effect: relevant schema and schematic fit. Cognitive trust and emotional trust in web payment are used to capture relevant schema, while perceived similarity and perceived business tie are proposed to denote schematic fit in the web-mobile payment extension context.
Design/methodology/approach
An online survey (n =552) was conducted to empirically test the model. The data were analyzed by structural equation modeling approach.
Findings
The results show that relevant schema and schematic fit factors positively influence perceived value of mobile payment (MP), which facilitates consumers’ behavioral intention of MP.
Originality/value
This study contributes to the extant literature by theoretically identifying the key factors of the spillover effect and empirically investigating its role during the web-mobile service extension process.
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Ruihe Yan and Xiang Gong
Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online…
Abstract
Purpose
Building upon uncertainty reduction theory, this work aims to explore how four uncertainty reduction factors (i.e. online property review, online textual description, online visual description and online instant messenger) mitigate property quality uncertainty and property fit uncertainty, which further influence Airbnb use intention.
Design/methodology/approach
This work tests the proposed research model using a structural equation modeling approach with 335 Airbnb users.
Findings
The findings reveal that the online property review, online textual description, online visual description and online instant messenger can efficiently mitigate property quality uncertainty and property fit uncertainty, which ultimately influence Airbnb use intention.
Research limitations/implications
This study provides useful insights on mitigating property uncertainty in the peer-to-peer (P2P) accommodation platforms. Researchers are encouraged to investigate the boundary conditions that influence the effectiveness of uncertainty reduction strategies in alleviating property uncertainty.
Practical implications
P2P accommodation service providers are suggested to take actionable uncertainty reduction strategies to mitigate property uncertainty in online P2P accommodation platforms.
Originality/value
First, this study advances research on P2P accommodation by identifying two key types of property uncertainty, namely, property quality uncertainty and property fit uncertainty. Second, this study extends research on P2P accommodation by proposing contextualized passive, active and interactive uncertainty reduction strategies in mitigating property uncertainty. Third, this study extends uncertainty reduction theory to the P2P accommodation context. Fourth, this study enriches uncertainty reduction theory by verifying the mediating effects of property quality uncertainty and property fit uncertainty.
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Yang Li, Ran Tan and Xiang Gong
This study aims to investigate the psychological mediating mechanisms through which omnichannel integration affects customer word-of-mouth (WOM) behaviors in omnichannel retailing.
Abstract
Purpose
This study aims to investigate the psychological mediating mechanisms through which omnichannel integration affects customer word-of-mouth (WOM) behaviors in omnichannel retailing.
Design/methodology/approach
Guided by prior omnichannel retailing studies, the authors identify taxonomy of customer WOM behaviors with three archetypes, namely, face-to-face WOM, online store WOM, and social media WOM. Then, the authors draw on social exchange theory (SET) to explain how omnichannel integration influences customer WOM behaviors through the mediating roles of perceived personal preference fit and perceived social relatedness. The authors empirically tested the model using structural equation modeling and multiple mediation analysis with a field survey of 335 omnichannel customers.
Findings
Perceived personal preference fit positively influences face-to-face WOM and social media WOM, whereas perceived social relatedness is positively associated with face-to-face WOM, online store WOM, and social media WOM. Furthermore, transactional integration and relational integration positively affect perceived personal preference fit, whereas relational integration has a positive effect on perceived social relatedness. Finally, perceived personal preference fit mediates the effects of transactional integration and relational integration on face-to-face WOM and social media WOM. Perceived social relatedness mediates the effects of relational integration on face-to-face WOM, online store WOM, and social media WOM.
Originality/value
The authors' study advances the omnichannel retailing literature by proposing a taxonomy of customer WOM behaviors in omnichannel retailing and identifying the mediating mechanisms through which omnichannel integration influences customer WOM behaviors.
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Ruihe Yan, Kem Zikun Zhang and Xiang Gong
Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and…
Abstract
Purpose
Listing popularity indicates the public’s interest in a listing on peer-to-peer (P2P) accommodation platforms. Although listing popularity is crucial to the survival and development of the P2P accommodation platform, this issue has received limited attention in the tourism management discipline. Drawing upon the heuristic-systematic model and uncertainty reduction theory, this study aims to examine the impacts of host and property attributes on listing popularity.
Design/methodology/approach
The model was empirically validated using a data set of 6,828 listings on a popular P2P accommodation platform called Airbnb. This study chooses a hierarchical regression analysis to perform the model validation.
Findings
The findings reveal that host self-disclosure, host reputation and host identity verification are key host attributes in promoting listing popularity. Meanwhile, property visual description, property photo verification and property visual appeal are important property attributes in facilitating listing popularity.
Research limitations/implications
The study adds useful insights on understanding on determinants of listing popularity. Future researchers are recommended to empirically verify the underlying psychological mechanism by which host attributes and property attributes influence listing popularity.
Practical implications
The P2P accommodation platform should promote the listing popularity by taking advantage of the host attributes and providing property attributes.
Originality/value
First, to the best of the authors’ knowledge, this study is one of the few studies to explore the formation of the listing popularity. Second, this study examines how the host and property attributes promote the listing popularity through the heuristic and systematic information processing modes.
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