| 研究生: |
陳俞君 Chen, Yu-Chun |
|---|---|
| 論文名稱: |
以刻板印象內容模型探討服務失敗情境中線上虛擬客服虛擬形象與溝通風格一致性對顧客的影響 How Avatar–Communication Style Match Shapes Customer Perception and Intention in Service Failures: A Stereotype Content Model Perspective |
| 指導教授: |
侯建任
Hou, Jian-Ren |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 工業與資訊管理學系 Department of Industrial and Information Management |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 76 |
| 中文關鍵詞: | 服務補救 、刻板印象內容模型 、虛擬形象化身 、溝通風格 、一致性 |
| 外文關鍵詞: | Service Recovery, Avatars, Communication Style, Stereotype Content Model(SCM), Consistency |
| 相關次數: | 點閱:21 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
隨著人工智慧與機器學習技術的發展,聊天機器人廣泛應用於服務產業,並在COVID-19疫情期間加速普及。企業透過虛擬客服提升效率,應用於產品推薦、故障排除和顧客投訴處理等,然而,針對服務失敗情境下,聊天機器人虛擬形象的選擇及溝通風格設計,其對於顧客的影響,目前仍缺乏深入的研究探討。
本研究以刻板印象內容模型(Stereotype Content Model, SCM)探討聊天機器人虛擬形象與溝通風格的一致性對顧客感知的影響,並進一步分析其對補救滿意度、品牌形象、品牌態度、再購意圖及轉換意圖的表現。研究共回收276份有效樣本,並以多變量變異數分析與結構方程模型進行分析驗證。
研究結果部分假說獲得支持。動物形象化身顯著提升能力感知,與原假設方向相反,可能因其視覺新鮮感與正向特質,超出顧客原先預期;社交導向風格則有效提升溫暖感知,但任務導向風格未顯著影響能力感知,推測可能是由於在服務失敗情境下,對話時間較短、回覆節奏快,因此侷限了任務溝通風格展現高階能力。
此外,一致性的效果並未獲得支持,顯示顧客在服務失敗補救情境中,對虛擬形象與溝通風格間的一致性敏感度不高,可能與其認知資源有限或更專注於問題是否被妥善解決有關。
針對行為分析,結果顯示,溫暖與能力感知皆正向影響補救滿意度與品牌形象,並且影響品牌態度與轉換意圖。再購意圖方面,品牌形象是再購意圖的主要驅動因素,補救滿意度則未達顯著水準,這表示,在服務失敗的情境下,僅單靠補救行為難以促成顧客再次光顧,唯有建立深層品牌形象方能提升長期選擇意願。
With the advancement of AI and machine learning, chatbots have been widely adopted in the service industry, especially during the COVID-19 pandemic. Companies use virtual customer service agents to improve operational efficiency in areas such as product recommendations, troubleshooting, and complaint handling. However, the impact of chatbot avatar and communication style on customer perception in service failure contexts remains underexplored.
This study applies the Stereotype Content Model (SCM) to examine how the consistency between chatbot avatar and communication style affects customer perception, and how these perceptions influence recovery satisfaction, brand image, brand attitude, repurchase intention, and switching intention. A total of 276 valid responses were collected and analyzed using multivariate analysis of variance (MANOVA) and structural equation modeling (SEM).
Findings partially support the hypotheses. Animal-like avatars unexpectedly enhanced perceived competence, while social-oriented communication styles significantly improved perceived warmth. The effect of avatar–style consistency was not supported. Warmth and competence perceptions positively influenced recovery satisfaction and brand image, which further affected brand attitude and switching intention. Brand image, rather than recovery satisfaction, was the main driver of repurchase intention, highlighting the importance of building a strong brand image in service recovery efforts.
何淑熏(Shu-Hsun He)(2002)。從性別差異觀點探析餐飲業顧客的正面與負面回應。國立陽明交通大學學位論文。
Aggarwal, P., & McGill, A. L. (2007). Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products. Journal of Consumer Research, 34(4), 468–479. https://doi.org/10.1086/518544
Aggarwal, P., & McGill, A. L. (2012). When Brands Seem Human, Do Humans Act Like Brands? Automatic Behavioral Priming Effects of Brand Anthropomorphism. Journal of Consumer Research, 39(2), 307–323. https://doi.org/10.1086/662614
Antón, C., Camarero, C., & Carrero, M. (2007). The mediating effect of satisfaction on consumers’switching intention. Psychology & Marketing, 24(6), 511–538. https://doi.org/10.1002/mar.20171
Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, 85, 183–189. https://doi.org/10.1016/j.chb.2018.03.051
Bai, S., Yu, D., Han, C., Yang, M., Gupta, B. B., Arya, V., Panigrahi, P. K., Tang, R., He, H., & Zhao, J. (2024). Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation: Insights from the high-evoked automated social presence. Technological Forecasting and Social Change, 204, 123395. https://doi.org/10.1016/j.techfore.2024.123395
Banks, M. R., Willoughby, L. M., & Banks, W. A. (2008). Animal-Assisted Therapy and Loneliness in Nursing Homes: Use of Robotic versus Living Dogs. Journal of the American Medical Directors Association, 9(3), 173–177. https://doi.org/10.1016/j.jamda.2007.11.007
Borau, S., Otterbring, T., Laporte, S., & Fosso Wamba, S. (2021). The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI. Psychology & Marketing, 38(7), 1052–1068. https://doi.org/10.1002/mar.21480
Chattaraman, V., Kwon, W.-S., Gilbert, J. E., & Ross, K. (2019). Should AI-Based, conversational digital assistants employ social- or task-oriented interaction style? A task-competency and reciprocity perspective for older adults. Computers in Human Behavior, 90, 315–330. https://doi.org/10.1016/j.chb.2018.08.048
Chebat, J.-C., & Kollias, P. (2000). The Impact of Empowerment on Customer Contact Employees’ Roles in Service Organizations. Journal of Service Research, 3(1), 66–81. https://doi.org/10.1177/109467050031005
Chiu, C., Chang, C., Cheng, H., & Fang, Y. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761–784. https://doi.org/10.1108/14684520910985710
Chong, T., Yu, T., Keeling, D. I., & de Ruyter, K. (2021). AI-chatbots on the services frontline addressing the challenges and opportunities of agency. Journal of Retailing and Consumer Services, 63, 102735. https://doi.org/10.1016/j.jretconser.2021.102735
Cretu, A. E., & Brodie, R. J. (2007). The influence of brand image and company reputation where manufacturers market to small firms: A customer value perspective. Industrial Marketing Management, 36(2), 230–240. https://doi.org/10.1016/j.indmarman.2005.08.013
Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864–886. https://doi.org/10.1037/0033-295X.114.4.864
Ericsson, K. A., & Charness, N. (1994). Expert performance: Its structure and acquisition. American Psychologist, 49(8), 725–747. https://doi.org/10.1037/0003-066X.49.8.725
Festinger, L. (1957). A theory of cognitive dissonance (pp. xi, 291). Stanford University Press.
Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in Cognitive Sciences, 11(2), 77–83. https://doi.org/10.1016/j.tics.2006.11.005
Fortune Business Insights. (2020). Chatbot market size, share & industry insights by component (platform/software development kit and services), by deployment (cloud and on-premises), by application (website, contact centers, social media and mobile application), by industry (banking, financial services and insurance (BFSI), retail and ecommerce, information technology (IT) and telecom, media and entertainment, healthcare and others) and regional forecast, 2020–2027. https://www.fortunebusinessinsights.com/chatbot-market-104673
Følstad, A., & Brandtzaeg, P. B. (2020). Users’ experiences with chatbots: Findings from a questionnaire study. Quality and User Experience, 5(1), 3. https://doi.org/10.1007/s41233-020-00033-2
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Go, E., & Sundar, S. S. (2019). Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions. Computers in Human Behavior, 97, 304–316. https://doi.org/10.1016/j.chb.2019.01.020
Gong, L., & Nass, C. (2007). When a Talking-Face Computer Agent is Half-Human and Half-Humanoid: Human Identity and Consistency Preference. Human Communication Research, 33(2), 163–193. https://doi.org/10.1111/j.1468-2958.2007.00295.x
Grönroos, C. (2011). A service perspective on business relationships: The value creation, interaction and marketing interface. Industrial Marketing Management, 40(2), 240–247. https://doi.org/10.1016/j.indmarman.2010.06.036
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6
Han, H., Kim, W., & Hyun, S. S. (2011). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry. International Journal of Hospitality Management, 30(3), 619–629. https://doi.org/10.1016/j.ijhm.2010.11.006
Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention. European Journal of Marketing, 37(11/12), 1762–1800. https://doi.org/10.1108/03090560310495456
Hino, H. (2017). Does switching-intention result in a change in behaviour? Exploring the actual behavioural shopping patterns of switching-intended customers. British Food Journal, 119(12), 2903–2917. https://doi.org/10.1108/BFJ-12-2016-0622
Holloway, B. B., Wang, S., & Parish, J. T. (2005). The role of cumulative online purchasing experience in service recovery management. Journal of Interactive Marketing, 19(3), 54–66. https://doi.org/10.1002/dir.20043
Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The Influence of Avatars on Online Consumer Shopping Behavior. Journal of Marketing, 70(4), 19–36. https://doi.org/10.1509/jmkg.70.4.019
Hooi, R., & Cho, H. (2014). Avatar-driven self-disclosure: The virtual me is the actual me. Computers in Human Behavior, 39, 20–28. https://doi.org/10.1016/j.chb.2014.06.019
Huang, R., & Ha, S. (2020). The effects of warmth-oriented and competence-oriented service recovery messages on observers on online platforms. Journal of Business Research, 121, 616–627. https://doi.org/10.1016/j.jbusres.2020.04.034
Janson, A. (2023). How to leverage anthropomorphism for chatbot service interfaces: The interplay of communication style and personification. Computers in Human Behavior, 149, 107954. https://doi.org/10.1016/j.chb.2023.107954
Jung, J., Kim, S. J., & Kim, K. H. (2020). Sustainable marketing activities of traditional fashion market and brand loyalty. Journal of Business Research, 120, 294–301. https://doi.org/10.1016/j.jbusres.2020.04.019
Keaveney, S. M. (1995). Customer Switching Behavior in Service Industries: An Exploratory Study. Journal of Marketing, 59(2), 71–82. https://doi.org/10.1177/002224299505900206
Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: Communication style, trust, and intentions. Journal of Business Research, 63(8), 793–800. https://doi.org/10.1016/j.jbusres.2008.12.015
Keller, K. L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1–22. https://doi.org/10.2307/1252054
Kelley, S. W., & Davis, M. A. (1994). Antecedents to Customer Expectations for Service Recovery. Journal of the Academy of Marketing Science, 22(1), 52–61. https://doi.org/10.1177/0092070394221005
Kervyn, N., Fiske, S. T., & Malone, C. (2012). Brands as intentional agents framework: How perceived intentions and ability can map brand perception. Journal of Consumer Psychology, 22(2), 166–176. https://doi.org/10.1016/j.jcps.2011.09.006
Kim, C., Galliers, R. D., Shin, N., Ryoo, J.-H., & Kim, J. (2012). Factors influencing Internet shopping value and customer repurchase intention. Electronic Commerce Research and Applications, 11(4), 374–387. https://doi.org/10.1016/j.elerap.2012.04.002
Komunda, M., & Osarenkhoe, A. (2012). Remedy or cure for service failure? Business Process Management Journal, 18(1), 82–103. https://doi.org/10.1108/14637151211215028
Kudeshia, C., & Kumar, A. (2017). Social eWOM: Does it affect the brand attitude and purchase intention of brands? Management Research Review, 40(3), 310–330. https://doi.org/10.1108/MRR-07-2015-0161
Kull, A. J., Romero, M., & Monahan, L. (2021). How may I help you? Driving brand engagement through the warmth of an initial chatbot message. Journal of Business Research, 135, 840–850. https://doi.org/10.1016/j.jbusres.2021.03.005
Kuo, Y.-F., & Wu, C.-M. (2012). Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions. International Journal of Information Management, 32(2), 127–138. https://doi.org/10.1016/j.ijinfomgt.2011.09.001
Leo, X., & Huh, Y. E. (2020). Who gets the blame for service failures? Attribution of responsibility toward robot versus human service providers and service firms. Computers in Human Behavior, 113, 106520. https://doi.org/10.1016/j.chb.2020.106520
Levesque, T. J., & McDougall, G. H. G. (2000). Service Problems and Recovery Stratégies: An Experiment. Canadian Journal of Administrative Sciences / Revue Canadienne Des Sciences de l’Administration, 17(1), 20–37. https://doi.org/10.1111/j.1936-4490.2000.tb00204.x
Liang, L. J., Choi, H. C., & Joppe, M. (2018). Exploring the relationship between satisfaction, trust and switching intention, repurchase intention in the context of Airbnb. International Journal of Hospitality Management, 69, 41–48. https://doi.org/10.1016/j.ijhm.2017.10.015
Liang, S., Li, R., Lan, B., Chu, Y., Zhang, M., & Li, L. (2024). Untouchable them: The effect of chatbot gender on angry customers. Journal of Research in Interactive Marketing, 18(6), 1099–1135. https://doi.org/10.1108/JRIM-02-2023-0061
Lien, C.-H., Wen, M.-J., Huang, L.-C., & Wu, K.-L. (2015). Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review, 20(4), 210–218. https://doi.org/10.1016/j.apmrv.2015.03.005
Lii, Y.-S., Chien, C. S., Pant, A., & Lee, M. (2013). The challenges of long-distance relationships: The effects of psychological distance between service provider and consumer on the efforts to recover from service failure. Journal of Applied Social Psychology, 43(6), 1121–1135. https://doi.org/10.1111/jasp.12077
Liu, F., Li, J., Mizerski, D., & Soh, H. (2012). Self‐congruity, brand attitude, and brand loyalty: A study on luxury brands. European Journal of Marketing, 46(7/8), 922–937. https://doi.org/10.1108/03090561211230098
Martin, A., Wessel, M., & Alexander, B. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427–445. https://doi.org/10.1007/s12525-020-00414-7
Maxham, J. G. (2001). Service recovery’s influence on consumer satisfaction, positive word-of-mouth, and purchase intentions. Journal of Business Research, 54(1), 11–24. https://doi.org/10.1016/S0148-2963(00)00114-4
McNicholas, J., & Collis, G. M. (2000). Dogs as catalysts for social interactions: Robustness of the effect. British Journal of Psychology, 91(1), 61–70. https://doi.org/10.1348/000712600161673
Miller, E. K., & Cohen, J. D. (2001). An Integrative Theory of Prefrontal Cortex Function. Annual Review of Neuroscience, 24(Volume 24, 2001), 167–202. https://doi.org/10.1146/annurev.neuro.24.1.167
Miller, J. L., Craighead, C. W., & Karwan, K. R. (2000). Service recovery: A framework and empirical investigation. Journal of Operations Management, 18(4), 387–400. https://doi.org/10.1016/S0272-6963(00)00032-2
Mitchell, A. A., & Olson, J. C. (1981). Are Product Attribute Beliefs the Only Mediator of Advertising Effects on Brand Attitude? Journal of Marketing Research, 18(3), 318–332. https://doi.org/10.1177/002224378101800306
Nayeem, T., Murshed, F., & Dwivedi, A. (2019). Brand experience and brand attitude: Examining a credibility-based mechanism. Marketing Intelligence & Planning, 37(7), 821–836. https://doi.org/10.1108/MIP-11-2018-0544
Nickel, K., & Meyer, C. (2025). Why Female Virtual Conversational Agents Exhibit Greater Social Presence: Insights From the Stereotype Content Model. Journal of Consumer Behaviour, 24(3), 1358–1372. https://doi.org/10.1002/cb.2475
Odendaal, J. S. J., & Meintjes, R. A. (2003). Neurophysiological Correlates of Affiliative Behaviour between Humans and Dogs. The Veterinary Journal, 165(3), 296–301. https://doi.org/10.1016/S1090-0233(02)00237-X
O’Haire, M. (2010). Companion animals and human health: Benefits, challenges, and the road ahead. Journal of Veterinary Behavior, 5(5), 226–234. https://doi.org/10.1016/j.jveb.2010.02.002
Ozkan Tektas, O. (2017). Perceived justice and post-recovery satisfaction in banking service failures: Do commitment types matter? Service Business, 11(4), 851–870. https://doi.org/10.1007/s11628-016-0333-2
Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096. https://doi.org/10.1016/j.jretconser.2020.102096
Park, J.-Y., & Jang, S. (Shawn). (2014). Why do customers switch? More satiated or less satisfied. International Journal of Hospitality Management, 37, 159–170. https://doi.org/10.1016/j.ijhm.2013.11.007
Peng, C., van Doorn, J., Eggers, F., & Wieringa, J. E. (2022). The effect of required warmth on consumer acceptance of artificial intelligence in service: The moderating role of AI-human collaboration. International Journal of Information Management, 66, 102533. https://doi.org/10.1016/j.ijinfomgt.2022.102533
Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research, 126, 23–34. https://doi.org/10.1016/j.jbusres.2020.12.051
Ruan, Y., & Mezei, J. (2022). When do AI chatbots lead to higher customer satisfaction than human frontline employees in online shopping assistance? Considering product attribute type. Journal of Retailing and Consumer Services, 68, 103059. https://doi.org/10.1016/j.jretconser.2022.103059
Ryu, K., Han, H., & Kim, T.-H. (2008). The relationships among overall quick-casual restaurant image, perceived value, customer satisfaction, and behavioral intentions. International Journal of Hospitality Management, 27(3), 459–469. https://doi.org/10.1016/j.ijhm.2007.11.001
Salesforce.(2020). State of service: Fourth edition. https://www.salesforce.com/news/stories/4th-state-of-service/
Schweikhart, S. B., Strasser, S., & Kennedy, M. R. (1993). Service Recovery in Health Services Organizations. Journal of Healthcare Management, 38(1), 3.
Šerić, M., Ozretić-Došen, Đ., & Škare, V. (2020). How can perceived consistency in marketing communications influence customer–brand relationship outcomes? European Management Journal, 38(2), 335–343. https://doi.org/10.1016/j.emj.2019.08.011
Sheth, J. (1976, January 1). Buyer-Seller Interaction: A Conceptual Framework. Jagdish Sheth. https://www.jagsheth.com/consumer-behavior/buyer-seller-interaction-a-conceptual-framework/
Siu, N. Y.-M., Zhang, T. J.-F., & Kwan, H.-Y. (2014). Effect of corporate social responsibility, customer attribution and prior expectation on post-recovery satisfaction. International Journal of Hospitality Management, 43, 87–97. https://doi.org/10.1016/j.ijhm.2014.08.007
Song, M., Du, J., Xing, X., & Mou, J. (2022). Should the chatbot “save itself” or “be helped by others”? The influence of service recovery types on consumer perceptions of recovery satisfaction. Electronic Commerce Research and Applications, 55, 101199. https://doi.org/10.1016/j.elerap.2022.101199
Spears, N., & Singh, S. N. (2004). Measuring Attitude toward the Brand and Purchase Intentions. Journal of Current Issues & Research in Advertising, 26(2), 53–66. https://doi.org/10.1080/10641734.2004.10505164
Spreng, R. A., Harrell, G. D., & Mackoy, R. D. (1995). Service recovery: Impact on satisfaction and intentions. Journal of Services Marketing, 9(1), 15–23. https://doi.org/10.1108/08876049510079853
Srivastava, K., & Sharma, N. K. (2013). Service Quality, Corporate Brand Image, and Switching Behavior: The Mediating Role of Customer Satisfaction and Repurchase Intention. Services Marketing Quarterly, 34(4), 274–291. https://doi.org/10.1080/15332969.2013.827020
Tam, K.-P., Lee, S.-L., & Chao, M. M. (2013). Saving Mr. Nature: Anthropomorphism enhances connectedness to and protectiveness toward nature. Journal of Experimental Social Psychology, 49(3), 514–521. https://doi.org/10.1016/j.jesp.2013.02.001
Tronvoll, B. (2011). Negative emotions and their effect on customer complaint behaviour. Journal of Service Management, 22(1), 111–134. https://doi.org/10.1108/09564231111106947
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application (JITTA), 11(2). https://aisel.aisnet.org/jitta/vol11/iss2/2
van Dolen, W. M., Dabholkar, P. A., & de Ruyter, K. (2007). Satisfaction with Online Commercial Group Chat: The Influence of Perceived Technology Attributes, Chat Group Characteristics, and Advisor Communication Style. Journal of Retailing, 83(3), 339–358. https://doi.org/10.1016/j.jretai.2007.03.004
Wang, S., Yan, Q., & Wang, L. (2023). Task-oriented vs. social-oriented: Chatbot communication styles in electronic commerce service recovery. Electronic Commerce Research. https://doi.org/10.1007/s10660-023-09741-1
Webster, C., & Sundaram, D. S. (1998). Service consumption criticality in failure recovery. Journal of Business Research, 41(2), 153–159. https://doi.org/10.1016/S0148-2963(97)00004-0
Westerman, D., Tamborini, R., & Bowman, N. D. (2015). The effects of static avatars on impression formation across different contexts on social networking sites. Computers in Human Behavior, 53, 111–117. https://doi.org/10.1016/j.chb.2015.06.026
Wölfl, S., Feste, J. M., & Peters, L. (2019). Is Somebody There? Anthropomorphic Website Design and Intention to Purchase from Online Stores. AMCIS 2019 Proceedings. https://aisel.aisnet.org/amcis2019/human_computer_interact/human_computer_interact/18
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The Behavioral Consequences of Service Quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177/002224299606000203
Zhou, C., & Chang, Q. (2024). Informational or emotional? Exploring the relative effects of chatbots’ self-recovery strategies on consumer satisfaction. Journal of Retailing and Consumer Services, 78, 103779. https://doi.org/10.1016/j.jretconser.2024.103779
Zogaj, A., Mähner, P. M., Yang, L., & Tscheulin, D. K. (2023). It’s a Match! The effects of chatbot anthropomorphization and chatbot gender on consumer behavior. Journal of Business Research, 155, 113412. https://doi.org/10.1016/j.jbusres.2022.113412