Liang Ma

Dr. Liang Ma


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 August 2018 in Online Information Review
Verified
Journal Article
Closed access
LMLiang Ma
Liang Ma
XZXin Zhang
Xin Zhang
XDXiao Yan Ding
Xiao Yan Ding
Purpose: The rise of social media has gained increasing attention in recent years; however, few studies have focused on social media users’ specific behavior and subjective well-being. To fill this research gap, the purpose of this paper is to develop an integrated model to investigate factors that affect social media user’s share intention and the relationship between user’s share intention and subjective well-being. Design/methodology/approach: Structural equation model is used in this study. A field survey with 398 WeChat users is conducted to test the research model and hypotheses. Findings: The empirical results show that: utilitarian value, hedonic value, user satisfaction and information source credibility are important factors affecting users’ share intention; users’ share intention positively affects user’s subjective well-being; moderating effects show that relative significance positively moderates the relationship between utilitarian value and users’ share intention; and users’ demographic characteristics differences actually exist in users’ share intention. Originality/value: First, the authors clear that factors affect social media users’ share intention from the perspective of customer-perceived value. The results deepen our understanding about the factors that affect WeChat users’ share intention. Second, the authors focus on the effect of users’ specific behavior on users’ subjective well-being and found that users’ share intention is one of the important aspects that affect user’s subjective well-being. More importantly, the authors tested users’ characteristic differences in social media users’ share intention, which have previously received limited attention.

29 April 2021 in Journal of Enterprise Information Management
Verified
Journal Article
Closed access
LMLiang Ma
Liang Ma
XZXin Zhang
Xin Zhang
GWGaoshan Wang
Gaoshan Wang
Purpose: Enterprise social media (ESM) are frequently used in enterprises for daily operation. Although many researchers have attempted to understand the antecedents and consequences of ESM use, the integrated model, boundary conditions and mechanism of the impact of ESM use on performance are still unclear. This study fill this research gap by adopting a grounded theory approach to study how ESM use affects employee performance.Design/methodology/approach: Choosing representative cases, the authors collected interview data and analyzed the data using open coding, axial coding and selective coding.Findings: The results showed four main categories including ESM use, work efficiency, emotional maintenance and work performance, as well as 14 sub-categories. This paper also constructs a model of the impact of ESM use on work performance. In addition, results showed that ESM use affects employees' work performance through work efficiency and emotional maintenance, and frequency of use and individual characteristics may moderate this process.Originality/value: This study’s results contribute to the existing ESM literature by finding the integrated model, boundary conditions and mechanism of the impact of ESM use on performance. The authors also contributed to the social media literature by finding 14 sub-categories and four main categories including ESM use, work efficiency, emotional maintenance and work performance. The conclusion of this paper provides guidance and reference for the use and management of internal social media in enterprises.

LMLiang Ma
Liang Ma
XZXin Zhang
Xin Zhang
XDXiaoyan Ding
Xiaoyan Ding
GWGaoshan Wang
Gaoshan Wang
A major challenge confronting online retailers is that of stimulating consumer online purchase intention. Many studies have explored the factors that affect consumer purchase behavior; however, few have described the underlying mechanism that links the online shopping experience to social ties and the effect of their strength on purchase intentions. This study adapted the stimuli–organism–response (S–O–R) model to analyze the effects of the online shopping experience on customer involvement and online purchase intention under conditions of weak and strong social ties. Two quasi-experiments were conducted to test the research model and hypotheses. The results showed that online shopping experience had a positive effect on customer involvement, and this involvement in turn had a positive effect on online purchase intention in the strong-tie group and the weak-tie group. Cognitive and affective involvement played partial mediating roles between the online shopping experience and online purchase intention in the weak-ties group and full mediating roles in the strong-ties group. The effects of online shopping experience on customer involvement and online purchase intention differed between the two tie strength groups. The implications of these findings for researchers and practitioners are discussed.

29 April 2021 in Internet Research
Verified
Journal Article
Closed access
LMLiang Ma
Liang Ma
XZXin Zhang
Xin Zhang
GWGaoshan Wang
Gaoshan Wang
GZGe Zhang
Ge Zhang
Purpose: The purpose of the present study is to build a research model to study how the use of different enterprise social media platforms affects employees' relationship capital, and the moderating role of innovation culture is also examined.Design/methodology/approach: Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an electronic commerce company in China that uses different social media platforms, generating 301 valid responses for analysis.Findings: First, private social media used for work-related purposes can contribute to employees' relationship capital, and public social media QQ used for work-related purposes can contribute to employees' communication quality. WeChat used for social-related purposes has a positive effect on employees' information exchange. Second, innovation culture acts as a positive moderator between work-related media use and employees' information exchange, while innovation culture acts as a negative moderator between social-related WeChat use and employees' information exchange. Third, innovation culture acts as a positive moderator between work-related QQ use and employees' trust, while innovation culture acts as a negative moderator between social-related QQ use and employees' trust.Originality/value: First, this paper contributes to the information system (IS) social media literature by studying the effect of the use of different enterprise social media platforms used for different purposes on employees' relationship capital. Second, the authors contribute to relationship capital theory by clarifying that use of public and private social media platforms for social- and work-related purposes is an important driver of the formation of employees' relational capital. Third, the present study also contributes to enterprise social media literature by confirming that innovation culture acts as a different moderator between use of different enterprise social media platforms and employees' relationship capital.

14 September 2023 in Internet Research
Verified
Journal Article
Closed access
LMLiang Ma
Liang Ma
XZXin Zhang
Xin Zhang
PYPeng Yu
Peng Yu
Purpose: One of the most important challenges confronting enterprise managers is that of controlling employees' social cyberloafing. The use of enterprise social media entails opportunities for cyberloafing. However, previous research on how enterprise social media use affects cyberloafing is rather limited. Using the job demands-resources (JD-R) model, this paper proposes a research model to investigate the relationship between enterprise social media usage and employees' social cyberloafing behavior.Design/methodology/approach: Structural equation modeling was performed to test the research model and hypotheses. Surveys were conducted in an online platform in China, generating 510 employees' data for analysis.Findings: First, both public social media and private social media used for work-related and social-related purposes have a positive effect on employees' job engagement. Further, job engagement has a negative effect on employees' social cyberloafing. Second, the use of public social media for work-related and social-related purposes has no effect on employees' emotional exhaustion. However, work-related private social media usage has a negative effect on employees' emotional exhaustion, and social-related private social media usage has a positive effect on employees' emotional exhaustion. Further, employees' emotional exhaustion has a positive effect on employees' social cyberloafing. Third, there are significant differences in the effects of enterprise social media on employees' social cyberloafing between male and female employees.Originality/value: First, this paper contributes to the social cyberloafing literature by establishing a relationship between enterprise social media usage and social cyberloafing in relation to the dual influence mechanism. Second, it contributes to the JD-R model by clarifying how the use of enterprise social media with different motivations affects social cyberloafing through a mediation mechanism, namely, an enabling mechanism and a burden mechanism. Third, this paper also contributes to the social cyberloafing literature by revealing the boundary condition, namely gender, between enterprise social media use and employees' social cyberloafing.

25 January 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ZXZhang Xin
Zhang Xin
LMLiang Ma
Liang Ma
WZWang Zhanyou
Wang Zhanyou
XHXing Hua
Xing Hua
The worldwide rise of shared bicycle use has changed the way people travel. Here we analyze shared bicycle use from the perspective of the theory of planned behavior, and propose a model to investigate factors influencing shared bicycle usage in China. A total of 211 shared bicycle users selected from 28 provinces throughout China completed a self-reported survey. Structural equation modelling (SEM) was used to delineate the pathway from shared bicycle usage. The SEM model demonstrated that: (1) shared bicycle use intention was significantly associated with four variables, namely travel attitude(β = 0.491, t = 24.569), social norms(β = 0.149, t = 6.771), travel habits(β = 0.146, t = 7.226) and perceived behavioral control (β = 0.190, t = 11.110); (2) shared bicycle use behavior was significantly affected by shared bicycle use intention(β = 0.406, t = 15.936), and also by travel habits(β = 0.320, t = 11.921); (3) shared bicycle use behavior was also affected by demographic variables (gender, age) and situational factors (distance). The conclusions of this study provide useful data for operators of bicycle services and government policy makers.