Linhao Han, Tao Wang, Yu Jia, Yinger Ye, Tianyuan Liu and Jiayu Lv
This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating…
Abstract
Purpose
This study investigates how role overload in the sharing economy leads to emotional exhaustion, which restricts value co-creation activity, and also investigates the moderating effect of perceived platform support.
Design/methodology/approach
Two experimental investigations and field research questionnaires were given to respondents with shared mobility industry expertise.
Findings
First, role overload detrimentally affects service providers' value co-creation behavior; second, emotional exhaustion acts as a mediator between role overload and value co-creation behavior; and finally, perceived platform support moderates the adverse effect of role overload on emotional exhaustion.
Originality/value
To the best of the authors' knowledge, this study is the first to explore the antecedents of value co-creation behavior from the service provider's perspective, extending the application of COR theory in a sharing economy context.
Research limitations
First, alternative mediators between role overload and emotional exhaustion were not identified. Second, other dimensions of role overload and their impacts were not examined. Lastly, this study did not explore broader perspectives beyond algorithms.
Practical implications
This study recommends that managers reduce role overload ex ante in terms of clarifying responsibilities and obligations, providing substantive resource support and rationalizing order allocation, respectively.
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Tao Wang, Linhao Han, Zhilin Yang and Yu Jia
The purpose of this study is to determine the dimensions of cultural differences, which are theoretically most relevant to contract functions in international marketing. Moreover…
Abstract
Purpose
The purpose of this study is to determine the dimensions of cultural differences, which are theoretically most relevant to contract functions in international marketing. Moreover, the contradiction between contract governance and opportunism is reconciled by exploring the boundary conditions of specific cultural differences.
Design/methodology/approach
The authors obtained 235 bilateral data provided by Chinese exporters and overseas distributors. The authors matched a secondary data set with the questionnaire data, which were analyzed by confirmatory factor analysis and a hierarchical moderation model.
Findings
The results demonstrate that while contract specificity is less successful in this area, contingency adaptability is useful in reducing opportunism. Moreover, as the national cultural differences regarding uncertainty avoidance, power distance or individualism-collectivism become more pronounced. One contractual dimension will be more effective at curbing opportunism, while the other will be less effective.
Research limitations/implications
Despite sample limitations, to the best of the authors’ knowledge, this paper is the first to theoretically identify the effect of cultural difference dimensions in contract governance, unlike past studies taking cultural differences as an aggregated variable. Furthermore, by exploring the boundary conditions of cultural differences, this paper effectively reconciles the conflicting findings on the relationship between contract governance and opportunism in various cultural context.
Practical implications
Exporters’ managers can design contingency adaptability to complement the limitations of contract specificity and consider cultural differences’ contingency effects.
Originality/value
First, the authors identify cultural differences dimensions related to contract governance, refining and emphasizing the research context. Second, comparing the efficacy of contract specificity and contingency adaptability in specific cultural context can show which contract is better at preventing opportunism.
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Linhao Ouyang, Zijian Zhang, Xiaoling Huang and Shi Xie
The purpose of this study is to restore the spatial distribution of overseas remittance businesses in Shantou during the 1940s. It explores various socioeconomic factors that…
Abstract
Purpose
The purpose of this study is to restore the spatial distribution of overseas remittance businesses in Shantou during the 1940s. It explores various socioeconomic factors that influenced the concentration of local remittance business investment in real estate. By reconstructing the spatial distribution of remittance business activities in Shantou, this study hopes to lay a foundation for further analysis of the business strategies of Chaoshan merchants.
Design/methodology/approach
This research draws on information from the published Swatow Guide, archival sources and cadastral maps to identify the location of remittance enterprises and the native place and overseas networks of property owners.
Finding
This study reveals that the spatial distribution of the remittance enterprises was determined by the native place origins of local property owners, and that the inflow of overseas Chinese capital contributed to real estate development in Shantou.
Research limitations/implications
Despite the limited access to Chinese official archives, this paper manages to identify several building blocks and neighbors in Shantou for spatial analysis.
Practical implications
This study is the first attempt to use the geographical information system (GIS) method in Chinese urban history research and hopes to establish a larger historical database of Shantou as a sample for comparison.
Originality/value
This investigation advances the spatial study of urban history and overseas Chinese remittances in the maritime society of South China.
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Xu Wang, Chunyan Dai and Linhao Bao
The purpose of this paper is to conduct a thorough study of the current research status and trends of Artificial Intelligence-Generated Content (AIGC), which is thriving and…
Abstract
Purpose
The purpose of this paper is to conduct a thorough study of the current research status and trends of Artificial Intelligence-Generated Content (AIGC), which is thriving and exerting significant influences on society, the economy and technology. This study will encompass both the ample opportunities and the array of emerging risks and challenges associated with AIGC. Furthermore, this paper seeks to propose practical optimization strategies to facilitate its continued development.
Design/methodology/approach
A total of 12,702 documents in Scopus, CNKI and Altmetric.com databases are analyzed in this paper. The visualization tools of CiteSpace and Netdraw are used to systematically analyze AIGC from macro, meso and micro perspectives based on bibliometric indicators. The analysis is combined with altmetrics indicators to identify hotspots in AIGC-related research and predict future development trends. Finally, substantive optimization suggestions for the development of AIGC are put forward.
Findings
Research has found that firstly, both domestic and international research in the field of AIGC is actively catching up with the pace of the era. Institutions and authors recognize the indispensability of collaboration, leading to the emergence of interdisciplinary cooperation trends. Secondly, at the thematic research level, both domestic and international studies cover the overall trends of AIGC, including technology, applications, challenges and coping strategies. However, international scholars tend to focus more on technological breakthroughs, while domestic researchers emphasize the formulation of national laws and regulations. Finally, through the analysis of hotspots and trends, it is predicted that future research will focus more on addressing the legal issues regarding the originality of AIGC, enhancing its interactivity, optimizing its applications, emphasizing ethical considerations and efficiently addressing major social issues such as pandemics using AIGC technology. Corresponding optimization strategies are proposed to ensure the development of AIGC is consistent with global consensus and values, creating a beneficial environment for its sustainable development.
Originality/value
Firstly, this paper integrates data from three databases and uses multiple software tools to conduct a comparative analysis of the research trends in AIGC from both domestic and international perspectives. Secondly, this paper not only analyzes the academic influence of AIGC-related research through bibliometric indicators but also combines altmetrics indicators to explore the public’s attitude toward AIGC. This method systematically reveals the overall development trends, leading institutions and researchers, thematic research areas, hotspot evolution and future development trends of AIGC-related research, providing theoretical references for subsequent scholars in AIGC research. Additionally, this paper helps governments, institutions and organizations to precisely and wisely formulate policies and investments, as well as to effectively comprehend the development trends of AIGC and promote the advancement of AIGC technology and applications.
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Xu Wang, Chunyan Dai, Yazhao Wang and Linhao Bao
This paper aims to conduct an in-depth analysis of the shortcomings of apps’ privacy policies and to propose improvement and optimization strategies, which are of great…
Abstract
Purpose
This paper aims to conduct an in-depth analysis of the shortcomings of apps’ privacy policies and to propose improvement and optimization strategies, which are of great significance for establishing a transparent and responsible privacy protection framework that ensures compliant collection and use of users’ information and effective protection of their privacy.
Design/methodology/approach
This paper obtained privacy policy texts for 100 shopping apps through Web crawlers and manual downloads. Based on the perspective of perceived usefulness, thematic analysis is conducted through the latent Dirichlet allocation topic model and comparison with existing policies. Based on the perspective of perceived ease of use, readability analysis is conducted through content analysis and formula calculation.
Findings
The apps privacy policies can be divided into seven themes. The authors benchmark these seven topics with the Personal Information Protection Law of the People’s Republic of China, the E-Commerce Law of the People’s Republic of China and the General Data Protection Regulation. It is found that there are omissions in the information collection and use and juvenile protection of the existing apps. Through the indicators’ readability analysis and calculation, it is found that the existing apps privacy policies have good performance in the readability indicators such as naming method, frame directory and so on. However, text personalization and text readability need to be improved and optimized.
Originality/value
At the theoretical level, this paper constructs a model from the dual perception perspectives of perceived usefulness and perceived ease of use and analyses the apps’ privacy policy texts at a fine-grained level. At the practical level, based on large-scale apps’ privacy policy text data, this paper conducts multi-dimensional research from theme analysis, authoritative law benchmarking analysis, content analysis and text readability calculation and analysis. At the same time, this paper identifies the current problems of apps’ privacy policies and puts forward countermeasure suggestions for their content improvement and optimization.