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Article
Publication date: 28 September 2021

Aihui Chen, Jinlin Wan and Yaobin Lu

A rash of security incidents in ride-sharing have made discovering the mechanisms to repair consumers' trust essential for the information technology (IT)-enabled…

Abstract

Purpose

A rash of security incidents in ride-sharing have made discovering the mechanisms to repair consumers' trust essential for the information technology (IT)-enabled ride-sharing platforms. The purpose of this paper is to explore how the two response strategies (i.e. security policies [SPs] and apologies) of platforms repair passengers' trust and whether the two implementation approaches of SPs (i.e. pull and push) lead to different results in repairing passengers' trust in the platforms.

Design/methodology/approach

A field survey based on a real scenario (n = 238) and an experiment (n = 245) were conducted to test the hypotheses empirically. Structural equation modeling and one-way analysis of variance (ANOVA) are employed in the data analyses.

Findings

This study finds that (1) both SPs and apologies aid in repairing trust; (2) repaired trust fully mediates the influence of SPs on continuance usage and partially mediates the influence of apologies on continuance usage; (3) security polices and the three dimensions of apologies play different roles in repairing trust and retaining passengers and (4) both pull-based and push-based SPs can repair the violated trust; however, the effect of the pull approach is greater than that of the push approach.

Practical implications

The findings provide guidelines for ride-sharing platforms in taking appropriate actions to repair users' trust after security incidents.

Originality/value

The findings reveal the mechanism of trust repairing in the fields of ride-sharing and extend the contents of the trust theory and pull–push theory.

Details

Industrial Management & Data Systems, vol. 122 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 29 October 2019

Yanhong Chen, Yaobin Lu, Sumeet Gupta and Zhao Pan

Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of…

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Abstract

Purpose

Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of this paper is to investigate customer online browsing experience and its antecedents (i.e. information quality and social interaction) and consequences (i.e. urge to buy impulsively and continuous browsing intention) in the context of SSW.

Design/methodology/approach

A survey questionnaire was distributed to visitors of online SSW to collect data, and partial least squares technology was used to test the research model.

Findings

The results of this study reveal that three types of web browsing, namely, utilitarian browsing, hedonic browsing and social browsing, take place in a SSW. The unique factors of SSW, namely, the quality of user generated contents and social interaction are critical for facilitating customers’ browsing experiences. Furthermore, the findings reveal that hedonic browsing experience is found to be the most salient factor influencing customers’ urge to buy impulsively and continuance intention.

Practical implications

The findings suggest that practitioners, such as designers and managers of SSW should give special attention to the benefits of browsing activity to convert web browsers into impulse purchasers and increase customers’ loyalty. Moreover, they should focus on improving the quality of user generated content and pay more attention to support and encourage social interaction to enhance browsing experiences on a SSW.

Originality/value

Existing studies about browsing behavior mostly focus on traditional online e-commerce website. This study represents the first step toward understanding browsing activity on SSW. Moreover, prior studies mainly focused on utilitarian and hedonic browsing experience; however, there is a lack of research on social browsing experience. The current study attempts to fill this research gap.

Details

Information Technology & People, vol. 33 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 5 April 2021

Aihui Chen, Ying Yu and Yaobin Lu

The peer-to-peer (P2P) accommodation-sharing market has developed rapidly on the strength of information technology in recent years. Matching providers and customers in an…

Abstract

Purpose

The peer-to-peer (P2P) accommodation-sharing market has developed rapidly on the strength of information technology in recent years. Matching providers and customers in an information technology (IT)-enabled platform is a key determinant of both parties' experiences and the healthy development of the platform. However, previous research has not sufficiently explained the mechanism of provider–customer matching in accommodation sharing, especially at the psychological level. Based on field cognitive style theory, this study examines how the match and mismatch affect customers' online and offline satisfaction and whether a significant difference exists between online and offline satisfaction under different matching patterns.

Design/methodology/approach

The authors test the proposed theoretical model using 122 provider–customer dyad data collected through a field study.

Findings

The results suggest that customers' online and offline satisfaction under match is significantly higher than that under mismatch. In addition, customers' online satisfaction is significantly higher than their offline satisfaction under mismatch, but there is no significant difference between the two under match. The perceived price fairness also plays a moderating role in the case of mismatch.

Originality/value

In summary, these findings provide a novel understanding about the matching patterns and their outcomes in the accommodation-sharing context and expand the contents and applications of field cognitive style theory and matching theory. This study will help these IT-enabled platforms to provide personalized matching services at the psychological level, thereby enhancing user experience and corporate competitiveness. 10; 10;

Details

Information Technology & People, vol. 35 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 21 August 2020

Zhao Pan, Yaobin Lu, Sumeet Gupta and Qian Hu

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve…

Abstract

Purpose

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve sustainable competitive advantage. The purpose of this paper is to investigate what and how the user attitude to change influences members' behavioral support for incremental technological change in mobile social media service.

Design/methodology/approach

Using the tripartite model of attitude, this study examines the influence of the cognitive aspect (empowerment with change), affective aspect (arousal with change) and behavioral aspect (habit to change) of attitude toward change on members' behavioral support for incremental technological change. Drawing on the commitment to change theory, we assessed the underlying mechanism by which attitudes toward change influences behavioral support for incremental technological change through the two components of commitment to change (i.e. affective and normative commitment to change). We tested the model using structural equation modeling on the data collected from the popular mobile social media services in China.

Findings

Our results indicate that the effect of empowerment with change, arousal with change and habit to change varies with different dimensions of commitment to change and significant influence of commitment to change on members' behavioral support for incremental technological change.

Practical implications

The findings of this study contribute to better insights for services providers for implementing incremental technological change strategies.

Originality/value

This study contributes to the theory of incremental technological changes by empirical examination of the impacts of users' attitudes toward change on members' behavioral support for incremental technological change in mobile social media. The paper extends the commitment to change theory with the discussion of the mediating effect of commitment to change in the continuing members' behavioral support for incremental technological change in mobile social media.

Article
Publication date: 4 June 2018

Yunfan Lu, Chengqi Guo, Yaobin Lu and Sumeet Gupta

This paper aims to examine and highlight the influence of perceived restrictiveness on online communication, and in relation, the reduction of uncertainty in purchasing decisions.

Abstract

Purpose

This paper aims to examine and highlight the influence of perceived restrictiveness on online communication, and in relation, the reduction of uncertainty in purchasing decisions.

Design/methodology/approach

By testing statistical associations between such variables as uncertainty, perceived restrictiveness and online communications, the authors are to establish the prevalence of a phenomenon with quantitative methods that collect survey data from more than 500 real customers of a popular Chinese e-commerce site – Taobao.com.

Findings

The findings show that the perceived restrictiveness of a shopping website has a significantly role in motivating individuals to engage with each other by initiating online communication that leads to information acquirement and exchange. In addition, online communication that takes place between buyers and sellers, or among buyers, is found to be an important factor in the process of making purchasing decisions by customers.

Originality/value

This paper adds significance to the extant academic literature as well as assists the appropriate e-commerce vendors in assessing the determinants of customer’s purchasing behavior in the context where online shopping platforms do not support buyers’ desired decision options. It further reconciles and supplements the findings of the previous e-commerce-related studies that focus on the website characteristics only without bringing in the role of customer’s perceived restrictiveness.

Details

Nankai Business Review International, vol. 9 no. 2
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 30 October 2019

Qian Chen, Yaobin Lu and Yeming Gong

Many service organizations use brand apps as an important mobile-end service channel and expect to increase brand app use through customer recommendations. The purpose of…

Abstract

Purpose

Many service organizations use brand apps as an important mobile-end service channel and expect to increase brand app use through customer recommendations. The purpose of this paper is to explore the internal mechanism of brand app recommendation from the cross-channel perspective.

Design/methodology/approach

Based on value–satisfaction–loyalty (VSL) framework, this study examines how brand app’s unique cross-channel features influence customer recommendations, and the effect of involvement in the framework. The authors conduct a research survey in airline industry and questionnaires are developed and distributed to respondents who have experiences with air travel and have used the corresponding airlines’ brand apps. Finally, the authors collect 399 valid questionnaires to test the research model.

Findings

The results show that brand app usability mediates the relationship between offline service satisfaction and brand app satisfaction, which finally leads to brand app recommendation. Brand app usability and satisfaction significantly affect involvement, which also lead to brand app recommendation.

Originality/value

This study distinguishes the features of brand apps from those of ordinary apps and fills the research gap in the internal mechanism of app recommendation from the integrated cross-channel perspective. Besides, this study extends the VSL value in the context of brand app use. Based on the results, this study also provides the practical suggestions of enhancing offline service quality and brand app usability to increase brand app recommendation.

Details

Information Technology & People, vol. 33 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 24 May 2022

Yanting Zhu, Yaobin Lu, Sumeet Gupta, Jinqiang Wang and Peng Hu

Consumers interacting with smart wearable devices is on the rise in the current health-AI market, which offers a great opportunity for companies to execute interactive…

Abstract

Purpose

Consumers interacting with smart wearable devices is on the rise in the current health-AI market, which offers a great opportunity for companies to execute interactive marketing. However, this opportunity is mainly reliant on consumers' use of smart wearable devices. This paper aims to develop a model considering health and privacy factors to elucidate consumers' use of smart wearable devices for unleashing their full potential in interactive marketing.

Design/methodology/approach

The authors collected 250 samples via an online survey to validate the smart wearable devices usage model that elucidates factors that stimulate consumer usage, including privacy concerns, health consciousness and consumer innovativeness. The authors used structural equation modeling and multi-group analysis to test the hypotheses.

Findings

Privacy concerns of consumers have a negative effect on smart wearable devices usage, while health consciousness positively impacts consumers' usage of smart wearable devices. Consumer innovativeness indirectly affects smart wearable devices usage via effort expectancy. Experienced consumers are less sensitive to the performance expectancy but more affected by effort expectancy regarding smart wearable devices.

Originality/value

The present study contributes to the literature stream of health-AI usage by unraveling the impacts of privacy concerns and health consciousness and examining the moderating role of prior experience. The findings suggest marketers in the health-AI industry should endeavor to build transparent and sound privacy protection mechanisms and promote smart wearable devices by fostering health awareness of potential consumers.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 29 December 2021

Jinqiang Wang, Yaobin Lu, Si Fan, Peng Hu and Bin Wang

The purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial…

Abstract

Purpose

The purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial intelligence (AI). Because of unequal resource allocation, constraints on the intelligent transformation of SMEs in central China are different from those in economically and technologically well-developed coastal provinces. Hence, the authors focus on SMEs in central China to identify drivers of and barriers to intelligent transformation.

Design/methodology/approach

The interview data were collected from 66 SMEs across 20 industries in central China. To verify the validity of the data collection method, the authors used two methods to control for retrospective bias: multi-level informants and enterprises' AI project application materials (Wei and Clegg, 2020). The final data were validated without conflicts. Next, the authors cautiously followed a two-step approach recommended by Venkatesh et al. (2010) and used NVivo 11.0 to analyze the collected text data.

Findings

SMEs in central China are enthusiastic about intelligent transformation while facing both internal and external pressures. SMEs need to pay attention to both internal (enterprise development needs, implementation cost, human resources and top management involvement) and external factors (external market pressure, convenience of AI technology and policy support) and their different impacts on intelligent transformation. However, constrained by limited resources, SMEs in central China have been forced to take a step-by-step intelligent transformation strategy based on their actual needs with the technological flexibility method in the short term.

Originality/value

Considering the large number of SMEs and their importance in promoting China's economic development and job creation (SME Bureau of MIIT, 2020), more research on SMEs with limited resources is needed. In the study, the authors confirmed that enterprises should handle “social responsibility” carefully because over-emphasizing it will hinder intelligent transformation. However, firms should pay attention to the role of executives in promoting intelligent transformation and make full use of policy support to access more resources.

Details

International Journal of Emerging Markets, vol. 17 no. 4
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 18 February 2021

Jinlin Wan, Yaobin Lu and Sumeet Gupta

Dashang refers to a reward given voluntarily to street performers in return for their performance. Some social media platforms have created a way to integrate this as a…

Abstract

Purpose

Dashang refers to a reward given voluntarily to street performers in return for their performance. Some social media platforms have created a way to integrate this as a function, referred to as the dashang feature, to allow users to reward live performers online as well. Over the last few years, this function has become extremely popular among social media users, as it recreates the nostalgic experience of watching street performances. Platforms now consider it indispensable, as it has become a source of substantial revenue (commission on rewards earned by performers). However, not all users reward performers. For each user who pays, there are many more who lurk on the platform. This study examines the reasons for these differences using the Big Five personality perspective and justice theory.

Design/methodology/approach

We develop an empirical model using the Big Five theory and justice theory and test it using empirical data collected through a survey of WeChat users.

Findings

The results indicate that distributive justice, interpersonal justice and informational justice are essential factors in relation to social media users' use of the dashang feature. It is also found that personality type affects these three factors.

Originality/value

This study makes three key contributions. First, it examines the factors that influence users' voluntary use of the dashang feature using the lenses of the Big Five theory and justice theory. Second, this study extends previous results on perceived justice to examine use of the dashang feature in social media. Third, this study applies these theories to the study of consumer behavior by exploring the role of user characteristics in social media use.

Details

Information Technology & People, vol. 35 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 6 March 2017

Jinlin Wan, Ling Zhao, Yaobin Lu and Sumeet Gupta

Mobile appstores have fast sprung up during the last few years. The large number of apps in these appstores results in increased search effort for the customer as well as…

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Abstract

Purpose

Mobile appstores have fast sprung up during the last few years. The large number of apps in these appstores results in increased search effort for the customer as well as fierce competition leading to poorer revenues for both appstores as well as developers. Therefore, appstores allow developers to resort to bundling apps so as to increase the revenues and improve customer loyalty. Since an app-bundle is a mix of two or more apps, it may induce both positive and negative emotions simultaneously in the consumer. The purpose of this paper is to examine the effectiveness of app-bundling strategy from consumers’ perspective, and help developers design app-bundles.

Design/methodology/approach

Based on ambivalence theories, this research investigate different antecedents and influence of positive attitude and negative attitude on purchase behavior, and derives seven key app-bundles attributes through an exploratory study. The data were collected from 930 consumers of app-bundles in China and analyzed using SEM approach.

Findings

The findings indicate that positive attitude and negative attitude are two separate concepts and the identified seven app-bundling attributes have distinct effect on shaping consumers’ positive and negative attitude.

Originality/value

This study makes three key contributions to theory and practice. First, this study identifies the specific attributes of app-bundles using exploratory study. Second, this study addresses the challenges involved in examining bundles using ambivalence theory. In doing so, it characterizes attitude as positive and negative and treats them as separate constructs. Third, as called forth by previous studies, this study establishes the co-existence of positive attitude and negative attitude.

Details

Information Technology & People, vol. 30 no. 1
Type: Research Article
ISSN: 0959-3845

Keywords

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