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Detection of potential customers’ empathy behavior towards customers' reviews

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  • Hossain, Md Shamim
  • Rahman, Mst Farjana

Abstract

The aim of the current study is to identify potential customers' empathy behavior and their behavioral reactions based on appraisal and stimulus–organism–response (SOR) theories to customers' reviews of financial services firms using lexicon-based unsupervised learning techniques. After filtering, we obtained 30263 reviews from the Yelp dataset of financial service companies. We examined the connections between several sorts of emotional dimensions and different types of behavioral reactions of potential consumers using lexicon-based unsupervised machine learning methods. Our findings show that the various types of customer sentiment have a significant impact on potential customers' emotional experiences on social media platforms, prompting them to behave differently. Furthermore, potential consumers' reactions to the customers' reviews varied according to their seven emotional aspects. The study is the first to examine the impact of potential customers' empathetic behavioral reactions on customers' evaluations using lexicon-based unsupervised learning techniques.

Suggested Citation

  • Hossain, Md Shamim & Rahman, Mst Farjana, 2022. "Detection of potential customers’ empathy behavior towards customers' reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s0969698921004471
    DOI: 10.1016/j.jretconser.2021.102881
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    as
    1. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    2. Jitendra Kumar Rout & Kim-Kwang Raymond Choo & Amiya Kumar Dash & Sambit Bakshi & Sanjay Kumar Jena & Karen L. Williams, 2018. "A model for sentiment and emotion analysis of unstructured social media text," Electronic Commerce Research, Springer, vol. 18(1), pages 181-199, March.
    3. Geetha, M. & Singha, Pratap & Sinha, Sumedha, 2017. "Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis," Tourism Management, Elsevier, vol. 61(C), pages 43-54.
    4. Ngo, Liem Viet & Nguyen, Thi Nguyet Que & Tran, Nam The & Paramita, Widya, 2020. "It takes two to tango: The role of customer empathy and resources to improve the efficacy of frontline employee empathy," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    5. Zeelenberg, M. & Pieters, R., 2004. "Beyond valence in customer dissatisfaction : A review and new findings on behavioral responses to regret and disappointment in failed services," Other publications TiSEM 7bfb4aa9-cba7-4786-850d-1, Tilburg University, School of Economics and Management.
    6. Wu, Jia-Jhou & Chang, Sue-Ting, 2020. "Exploring customer sentiment regarding online retail services: A topic-based approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    7. Sun, Jia & Chen, Po-Ju & Ren, Lianping & Shih, Erin Hui-Wen & Ma, Caiwei & Wang, Han & Ha, Nhu-Hang, 2021. "Place attachment to pseudo establishments: An application of the stimulus-organism-response paradigm to themed hotels," Journal of Business Research, Elsevier, vol. 129(C), pages 484-494.
    8. Phoebe E Bailey & Brooke Brady & Natalie C Ebner & Ted Ruffman & Derek Isaacowitz, 2020. "Effects of Age on Emotion Regulation, Emotional Empathy, and Prosocial Behavior," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 75(4), pages 802-810.
    9. Kumar, Sushant & Dhir, Amandeep & Talwar, Shalini & Chakraborty, Debarun & Kaur, Puneet, 2021. "What drives brand love for natural products? The moderating role of household size," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    10. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    11. Sánchez-Franco, Manuel J. & Arenas-Márquez, Francisco J. & Alonso-Dos-Santos, Manuel, 2021. "Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    12. Moon, Sangkil & Jalali, Nima & Erevelles, Sunil, 2021. "Segmentation of both reviewers and businesses on social media," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    13. Meek, Stephanie & Wilk, Violetta & Lambert, Claire, 2021. "A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews," Journal of Business Research, Elsevier, vol. 125(C), pages 354-367.
    14. Zhao, Yan & Wen, Lingling & Feng, Xiangnan & Li, Ran & Lin, Xiaolin, 2020. "How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    15. Kamas, Linda & Preston, Anne, 2021. "Empathy, gender, and prosocial behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 92(C).
    16. Kimiagari, Salman & Asadi Malafe, Neda Sharifi, 2021. "The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    17. Lian, Jiunn-Woei, 2021. "Determinants and consequences of service experience toward small retailer platform business model: Stimulus–organism–response perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    18. Jang, SooCheong (Shawn) & Namkung, Young, 2009. "Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian-Russell model to restaurants," Journal of Business Research, Elsevier, vol. 62(4), pages 451-460, April.
    19. Qingliang Miao & Qiudan Li & Daniel Zeng, 2010. "Fine‐grained opinion mining by integrating multiple review sources," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2288-2299, November.
    20. Tran, Anh D. & Pallant, Jason I. & Johnson, Lester W., 2021. "Exploring the impact of chatbots on consumer sentiment and expectations in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    21. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    22. Zeelenberg, Marcel & Pieters, Rik, 2004. "Beyond valence in customer dissatisfaction: A review and new findings on behavioral responses to regret and disappointment in failed services," Journal of Business Research, Elsevier, vol. 57(4), pages 445-455, April.
    23. Septianto, Felix & Chiew, Tung Moi, 2018. "The effects of different, discrete positive emotions on electronic word-of-mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 1-10.
    24. Qingliang Miao & Qiudan Li & Daniel Zeng, 2010. "Fine-grained opinion mining by integrating multiple review sources," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(11), pages 2288-2299, November.
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    Cited by:

    1. Arenas Gaitán, Jorge & Ramírez-Correa, Patricio E., 2023. "COVID-19 and telemedicine: A netnography approach," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Pashchenko, Yana & Rahman, Mst Farjana & Hossain, Md Shamim & Uddin, Md Kutub & Islam, Tarannum, 2022. "Emotional and the normative aspects of customers’ reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    3. Md Shamim Hossain & Mst Farjana Rahman, 2023. "Customer Sentiment Analysis and Prediction of Insurance Products’ Reviews Using Machine Learning Approaches," FIIB Business Review, , vol. 12(4), pages 386-402, December.

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