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Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach (2022)
Journal Article
Weng, L., Zhang, Q., Lin, Z., Wu, L., & Zhang, J. (2023). Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach. Computer Communications, 15, 98-107. https://doi.org/10.1016/j.comcom.2022.11.011

The social recommender system can accurately recommend information to users, according to their interests based on the characteristics of their social network, however, the interaction between users has not been fully captured in the existing social... Read More about Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach.

Workplace loneliness, ego depletion and cyberloafing: Can leader problem-focused interpersonal emotion management help? (2022)
Journal Article
Yang, H., Lin, Z., Chen, X., & Peng, J. (2023). Workplace loneliness, ego depletion and cyberloafing: Can leader problem-focused interpersonal emotion management help?. Internet Research, 33(4), 1473-1494. https://doi.org/10.1108/intr-01-2021-0007

Purpose: This study aims to explore whether and how workplace loneliness leads to cyberloafing and the role of leader problem-focused interpersonal emotion management in buffering this relationship. Design/methodology/approach: Drawing on ego depleti... Read More about Workplace loneliness, ego depletion and cyberloafing: Can leader problem-focused interpersonal emotion management help?.

How does the combination of factors influence entrepreneurs’ decision-making logic? A qualitative comparative analysis (2022)
Journal Article
Xu, Y., Baranchenko, Y., Lin, Z., Wu, Q., & Arakpogun, E. (2022). How does the combination of factors influence entrepreneurs’ decision-making logic? A qualitative comparative analysis. Entrepreneurship Research Journal, https://doi.org/10.1515/erj-2021-0249

This study explores the different paths that lead to the effectuation and causation of entrepreneurial decision-making logic. Data were collected from a sample of 300 entrepreneurs in China in January and March 2018 and analyzed using crisp-set quali... Read More about How does the combination of factors influence entrepreneurs’ decision-making logic? A qualitative comparative analysis.

Using social media big data for tourist demand forecasting: A new machine learning analytical approach (2022)
Journal Article
Li, Y., Lin, Z., & Xiao, S. (2022). Using social media big data for tourist demand forecasting: A new machine learning analytical approach. Journal of digital economy, 1(1), 32-43. https://doi.org/10.1016/j.jdec.2022.08.006

This study explores the possibility of using a machine learning approach to analysing social media big data for tourism demand forecasting. We demonstrate how to extract the main topics discussed on Twitter and calculate the mean sentiment score for... Read More about Using social media big data for tourist demand forecasting: A new machine learning analytical approach.

Flexible versus Committed and Specific versus Uniform: Wholesale Price Contracting in A Supply Chain with Downstream Process Innovation (2022)
Journal Article
Yan, S., Xiong, Y., Lin, Z., & Zhou, Y. (2024). Flexible versus Committed and Specific versus Uniform: Wholesale Price Contracting in A Supply Chain with Downstream Process Innovation. International Transactions in Operational Research, 31(1), 346-369. https://doi.org/10.1111/itor.13159

If buyers are asymmetric in terms of their operating costs, researchers and managers broadly agree that the supplier can optimize her/his own profit by offering the more efficient buyer a higher price. In this paper, we develop a game theoretical mod... Read More about Flexible versus Committed and Specific versus Uniform: Wholesale Price Contracting in A Supply Chain with Downstream Process Innovation.

Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach (2022)
Journal Article
Filieri, R., Lin, Z., Li, Y., Lu, X., & Yang, X. (2022). Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach. Journal of Service Research, 25(4), 614-629. https://doi.org/10.1177/10946705221103937

Understanding consumer emotions arising from robot-customers encounters and shared through online reviews is critical for forecasting consumers’ intention to adopt service robots. Qualitative analysis has the advantage of generating rich insights fro... Read More about Customer Emotions in Service Robot Encounters: A Hybrid Machine-Human Intelligence Approach.

A Dynamic Case-based Reasoning System for Responding to Infectious Disease Outbreaks (2022)
Journal Article
Duan, J., Lin, Z., Jiao, F., Jiang, Y., & Chen, K. (2022). A Dynamic Case-based Reasoning System for Responding to Infectious Disease Outbreaks. Expert Systems with Applications, 204, Article 117628. https://doi.org/10.1016/j.eswa.2022.117628

Infectious diseases are a global public health problem, which requires timely and effective responses. This study proposes a novel model that contributes to the development of such responses. First, the problem scenario features of infectious disease... Read More about A Dynamic Case-based Reasoning System for Responding to Infectious Disease Outbreaks.

Service design for the destination tourism service ecosystem: A review and extension (2022)
Journal Article
Gao, Y., Zhang, Q., Xu, X., Jia, F., & Lin, Z. (2022). Service design for the destination tourism service ecosystem: A review and extension. Asia Pacific Journal of Tourism Research, 27(3), 225-245. https://doi.org/10.1080/10941665.2022.2046119

This paper aims to synthesize two emerging streams of literature in tourism, i.e., service design and destination ecosystem, and develops a conceptual framework for service design for the destination tourism service ecosystem (DTSE). We first collect... Read More about Service design for the destination tourism service ecosystem: A review and extension.

Government R&D subsidies and firm innovation performance: The moderating role of accounting information quality (2022)
Journal Article
Zuo, Z., & Lin, Z. (2022). Government R&D subsidies and firm innovation performance: The moderating role of accounting information quality. Journal of Innovation & Knowledge, 7(2), Article 100176. https://doi.org/10.1016/j.jik.2022.100176

The effects of government R&D subsidies can vary across recipient firms, depending on the various characteristics of a firm, potentially including the firm’s accounting information quality (AIQ). It has been well recognized that high AIQ helps to red... Read More about Government R&D subsidies and firm innovation performance: The moderating role of accounting information quality.

Time apart while together: A smart trip design for group travelers (2022)
Journal Article
Liao, Z., Zheng, W., & Lin, Z. (2022). Time apart while together: A smart trip design for group travelers. Annals of Tourism Research, 93, Article 103374. https://doi.org/10.1016/j.annals.2022.103374

Family or friends traveling in a group often have different preferences and some of which may conflict with each other. Existing smart tourism recommender systems have not adequately addressed this important issue. This study attempts to tackle the p... Read More about Time apart while together: A smart trip design for group travelers.

Search well and be wise: A machine learning approach to search for a profitable location (2022)
Journal Article
Han, S., Jia, X., Chen, X., Gupta, S., Kumar, A., & Lin, Z. (2022). Search well and be wise: A machine learning approach to search for a profitable location. Journal of Business Research, 144, 416-427. https://doi.org/10.1016/j.jbusres.2022.01.049

A good location is critical for the sales performance of a hotel or a restaurant. This study proposes a machine learning-based model for location selection that focuses on the estimation of sales potential of a prospective site and helps to overcome... Read More about Search well and be wise: A machine learning approach to search for a profitable location.