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Journal of Business Ethics

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03.02.2022 | Original Paper

How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment

verfasst von: Yuanyuan Zhou, Zhuoying Fei, Yuanqiong He, Zhilin Yang

Erschienen in: Journal of Business Ethics | Ausgabe 3/2022

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Abstract

Interactions between human beings and chatbots are gradually becoming part of our everyday social lives. It is still unclear how human–chatbot interactions (HCIs), compared to human–human interactions (HHIs), influence individual morality. Building on the dual-process theory of moral judgment, a secondary data analysis (Study 1), and two scenario-based experiments (Studies 2 and 3) provide sufficient evidence that HCIs (vs. HHIs) support utilitarian judgments (vs. deontological judgments), which reduce participants' donation amount. Study 3 further demonstrates that the negative effects of HCIs can be attenuated by inducing a social-oriented (vs. task-oriented) communication style in chatbots’ verbal language designs. These findings highlight the negative impacts of HCIs on relationships among human beings and suggest a practical intervention for nonprofit organization managers.

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Annisette, L. E., & Lafreniere, K. D. (2017). Social media, texting, and personality: A test of the shallowing hypothesis. Personality and Individual Differences, 115, 154–158.CrossRef

Ariza-Montes, A., Giorgi, G., Molina-Sánchez, H., & Pérez, J. F. (2020). The future of work in non-profit and religious organizations: Current and future perspectives and concerns. Frontiers in Psychology, 11, 623036.CrossRef

Arroyo, D. C., & Yilmaz, Y. (2018). An open for replication study: The role of feedback timing in synchronous computer-mediated communication. Language Learning, 68(4), 942–972.CrossRef

Broom, D. M. (2006). The evolution of morality. Applied Animal Behaviour Science, 100(1–2), 20–28.CrossRef

Brown, S. P. (1995). The moderating effects of in-supplier/out-supplier status on organizational buyer attitudes. Journal of the Academy of Marketing Science, 23(3), 170–181.CrossRef

Brscic, D., Kidokoro, H., Suehiro, T., & Kanda, T. (2015). Escaping from children’s abuse of social robots. In Proceedings of the ACM/IEEE international conference on human–robot interaction, 10th, Portland, OR, March 2–5 (pp. 59–66). ACM.

Castelo, N., Bos, M. W., & Lehmann, D. R. (2019). Task-dependent algorithm aversion. Journal of Marketing Research, 56(5), 809–825.CrossRef

Chaar, B. B., & Lee, J. (2012). Role of socioeconomic status on consumers’ attitudes towards DTCA of prescription medicines in Australia. Journal of Business Ethics, 105(4), 447–460.CrossRef

Chan, A. P. H., & Tung, V. W. S. (2019). Examining the effects of robotic service on brand experience: The moderating role of hotel segment. Journal of Travel and Tourism Marketing, 36(4), 458–468.CrossRef

Chan, K. W., Yim, C. K., & Lam, S. S. K. (2010). Is customer participation in value creation a double-edged sword? Evidence from professional financial services across cultures. Journal of Marketing, 74(3), 48–64.CrossRef

Chattaraman, V., Kwon, W., 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.CrossRef

Cui, R., Li, M., & Zhang, S. (2020). AI and procurement. Manufacturing and Service Operations Management. Available at SSRN. https://ssrn.com/abstract=3570967 or https://doi.org/10.2139/ssrn.3570967

Dabholkar, P. A., van Dolen, W. M., & de Ruyter, K. (2009). A dual-sequence framework for B2C relationship formation: Moderating effects of employee communication style in online group chat. Psychology and Marketing, 26(2), 145–174.CrossRef

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef

Deloitte. (2019a). Conversation starters: Conversational AI makes its business case. https://www2.deloitte.com/global/en/insights/focus/cognitive-technologies/conversational-artificial-intelligence-makes-its-business-case.html

Deloitte. (2019b). Can AI be ethical? Why enterprises shouldn’t wait for AI regulation. https://www2.deloitte.com/global/en/insights/focus/signals-for-strategists/ethical-artificial-intelligence.html

Deloitte. (2021). Conversational AI: Five vectors of progress. https://www2.deloitte.com/global/en/insights/focus/signals-for-strategists/the-future-of-conversational-ai.html

Diab, D. L., Pui, S., Yankelevich, M., & Highhouse, S. (2011). Lay perceptions of selection decision aids in US and non-US samples. International Journal of Selection and Assessment, 19(2), 209–216.CrossRef

Fischer, J. (2004). Social responsibility and ethics: Clarifying the concepts. Journal of Business Ethics, 52(4), 381–390.CrossRef

Gallier, C., Reif, C., & Römer, D. (2017). Repeated pro-social behavior in the presence of economic interventions. Journal of Behavioral and Experimental Economics, 69, 18–28.CrossRef

Gleichgerrcht, E., & Young, L. (2013). Low levels of empathic concern predict utilitarian moral judgment. PLoS ONE, 8(4), e60418.CrossRef

Greene, J. D., Morelli, S. A., Lowenberg, K., Nystrom, L. E., & Cohen, J. D. (2008). Cognitive load selectively interferes with utilitarian moral judgment. Cognition, 107(3), 1144–1154.CrossRef

Greene, J. D., Nystrom, L. E., Engell, A. D., Darley, J. M., & Cohen, J. D. (2004). The neural bases of cognitive conflict and control in moral judgment. Neuron, 44(2), 389–400.CrossRef

Greene, J. D., Sommerville, R. B., Nystrom, L. E., Darley, J. M., & Cohen, J. D. (2001). An fMRI investigation of emotional engagement in moral judgment. Science, 293(5537), 2105–2108.CrossRef

Hair, J. F. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate data analysis (3^rd ed.). Macmillan.

Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling.

Hayes, A. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1–22.CrossRef

He, Y., Zhang, J., Zhou, Y., & Yang, Z. (2019). Monkey see, monkey do?: The effect of construal level on consumers’ reactions to others’ unethical behavior. Journal of Business Ethics, 156(2), 455–472.CrossRef

Hecht, M., & Zitzmann, S. (2020). Sample size recommendations for continuous-time models: Compensating shorter time series with larger numbers of persons and vice versa. Structural Equation Modeling: A Multidisciplinary Journal, 28(2), 1–8.

Hermann, E. (2021). Leveraging artificial intelligence in marketing for social good—An ethical perspective. Journal of Business Ethics. https://doi.org/10.1007/s10551-021-04843-yCrossRef

Hertz, N., & Wiese, E. (2019). Good advice is beyond all price, but what if it comes from a machine? Journal of Experimental Psychology: Applied, 25(3), 386–395.

Higgins, E. T., Friedman, R. S., Harlow, R. E., Idson, L. C., Ayduk, O. N., & Taylor, A. (2001). Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. European Journal of Social Psychology, 31(1), 3–23.CrossRef

Hill, J., Randolph Ford, W., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245–250.CrossRef

Hoffman, G., Forlizzi, J., Ayal, S., Steinfeld, A., Antanitis, J., Hochman, G., ..., Finkenaur, J. (2015, March). Robot presence and human honesty: Experimental evidence. In 2015 10th ACM/IEEE international conference on human–robot interaction (HRI) (pp. 181–188). IEEE.

Hoffman, D. L., & Novak, T. P. (2018). Consumer and object experience in the internet of things: An assemblage theory approach. Journal of Consumer Research, 44(6), 1178–1204.CrossRef

Jami, A., Kouchaki, M., & Gino, F. (2021). I own, so I help out: How psychological ownership increases prosocial behavior. The Journal of Consumer Research, 47(5), 698–715.CrossRef

Janoff-Bulman, R., Sheikh, S., & Hepp, S. (2009). Proscriptive versus prescriptive morality: Two faces of moral regulation. Journal of Personality and Social Psychology, 96(3), 521–537.CrossRef

Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.CrossRef

Keeling, K., McGoldrick, P., & Beatty, S. (2010). Avatars as salespeople: Communication style, trust, and intentions. Journal of Business Research, 63(8), 793–800.CrossRef

Kim, S., & McGill, A. L. (2011). Gaming with Mr. slot or gaming the slot machine? Power, anthropomorphism, and risk perception. The Journal of Consumer Research, 38(1), 94–107.CrossRef

LaMothe, E., & Bobek, D. (2020). Are individuals more willing to lie to a computer or a human? Evidence from a tax compliance setting. Journal of Business Ethics, 167, 1–24.CrossRef

Laufer, D., Silvera, D. H., McBride, J. B., & Schertzer, S. M. B. (2010). Communicating charity successes across cultures: Highlighting individual or collective achievement? European Journal of Marketing, 44(9), 1322–1333.CrossRef

Lee, L., Piliavin, J. A., & Call, V. R. (1999). Giving time, money, and blood: Similarities and differences. Social Psychology Quarterly, 62(3), 276–290.CrossRef

Lemay, E. P., Jr., Ryan, J. E., & Teneva, N. (2021). Pursuing interpersonal value: An interdependence perspective. Journal of Personality and Social Psychology, 120(3), 716–744.CrossRef

Li, X., Chan, K. W., & Kim, S. (2019). Service with emoticons: How customers interpret employee use of emoticons in online service encounters. Journal of Consumer Research, 45(5), 973–987.CrossRef

Lockwood, P. L., Hamonet, M., Zhang, S. H., Ratnavel, A., Salmony, F. U., Husain, M., & Apps, M. A. (2017). Prosocial apathy for helping others when effort is required. Nature Human Behaviour, 1(7), 0131.CrossRef

Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629–650.CrossRef

Luangrath, A. W., Peck, J., & Barger, V. A. (2017). Textual paralanguage and its implications for marketing communications. Journal of Consumer Psychology, 27(1), 98–107.CrossRef

Luo, X., Qin, M. S., Fang, Z., & Qu, Z. (2021). Artificial intelligence coaches for sales agents: Caveats and solutions. Journal of Marketing, 85(2), 14–32.CrossRef

Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947.

Macdonnell, R., & White, K. (2015). How construals of money versus time impact consumer charitable giving. Journal of Consumer Research, 42(4), 551–563.

Markets and Markets. (2021). Conversational AI market by component (solutions and services), type (chatbots and IVA), technology (NLP and ASR), business function (sales and marketing, and operations), mode of integration, vertical, and region—Global Forecast to 2026. Markets and Markets. https://www.marketsandmarkets.com/Market-Reports/conversational-ai-market-49043506.html

Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019). Service robots rising: How humanoid robots influence service experiences and elicit compensatory consumer responses. Journal of Marketing Research, 56(4), 535–556.CrossRef

Mou, Y., & Xu, K. (2017). The media inequality: Comparing the initial human–human and human–AI social interactions. Computers in Human Behavior, 72, 432–440.CrossRef

Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(3), 209–234.CrossRef

Neumayr, M., & Handy, F. (2019). Charitable giving: What influences donors’ choice among different causes? VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 30(4), 783–799.CrossRef

Niculescu, A., van Dijk, B., Nijholt, A., Li, H., & See, S. L. (2013). Making social robots more attractive: The effects of voice pitch, humor and empathy. International Journal of Social Robotics, 5(2), 171–191.CrossRef

Önkal, D., Goodwin, P., Thomson, M., Gönül, S., & Pollock, A. (2009). The relative influence of advice from human experts and statistical methods on forecast adjustments. Journal of Behavioral Decision Making, 22(4), 390–409.CrossRef

Patrick, V. M., Lancellotti, M., & Hagtvedt, H. (2009). Getting a second chance: The role of imagery in the influence of inaction regret on behavioral intent. Journal of the Academy of Marketing Science, 37(2), 181–190.CrossRef

Pham, C., & Septianto, F. (2019). A smile—The key to everybody’s heart? The interactive effects of image and message in increasing charitable behavior. European Journal of Marketing, 54(2), 261–281.CrossRef

Rand, D. G., Greene, J. D., & Nowak, M. A. (2012). Spontaneous giving and calculated greed. Nature, 489(7416), 427–430.CrossRef

Reed, A., Aquino, K., & Levy, E. (2007). Moral identity and judgments of charitable behaviors. Journal of Marketing, 71(1), 178–193.CrossRef

Richins, M. L. (1997). Measuring emotions in the consumption experience. Journal of Consumer Research, 24(2), 127–146.CrossRef

Robiady, N. D., Windasari, N. A., & Nita, A. (2021). Customer engagement in online social crowdfunding: The influence of storytelling technique on donation performance. International Journal of Research in Marketing, 38(2), 492–500.CrossRef

Roy, R., & Naidoo, V. (2021). Enhancing chatbot effectiveness: The role of anthropomorphic conversational styles and time orientation. Journal of Business Research, 126, 23–34.CrossRef

Ryu, J., & Baylor, A. L. (2005). The psychometric structure of pedagogical agent persona. Technology, Instruction, Cognition and Learning, 2(4), 291.

Saine, R., Kull, A. J., Besharat, A., & Varki, S. (2019). I see me: The role of observer imagery in reducing consumer transgressions. Journal of Business Ethics, 168(4), 1–12.

Salvini, P., Ciaravella, G., Yu, W., Ferri, G., Manzi, A., Mazzolai, B., Laschi, C., Oh, S. R., & Dario, P. (2010). How safe are service robots in urban environments? Bullying a robot. In Proceedings of the 19th IEEE international symposium on robot and human interactive communication, Pisa, Italy, September 13–15 (pp. 1–7). IEEE.

Sands, S., Ferraro, C., Campbell, C., & Tsao, H. (2021). Managing the human–chatbot divide: How service scripts influence service experience. Journal of Service Management, 32(2), 246–264.CrossRef

Sanghera, B. (2016). Charitable giving and lay morality: Understanding sympathy, moral evaluations and social positions. The Sociological Review, 64(2), 294–311.CrossRef

Seele, P., Dierksmeier, C., Hofstetter, R., & Schultz, M. D. (2021). Mapping the ethicality of algorithmic pricing: A review of dynamic and personalized pricing. Journal of Business Ethics, 170(4), 697–719.CrossRef

Shechtman, N., & Horowitz, L. M. (2003, April). Media inequality in conversation: How people behave differently when interacting with computers and people. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 281–288).

Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115, 14–24.CrossRef

Singhapakdi, A., Vitell, S. J., & Kraft, K. L. (1996). Moral intensity and ethical decision-making of marketing professionals. Journal of Business Research, 36, 245–255.CrossRef

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220.CrossRef

Tezer, A., & Bodur, H. O. (2020). The green consumption effect: How using green products improves consumption experience. The Journal of Consumer Research, 47(1), 25–39.CrossRef

Tomasello, M., & Vaish, A. (2013). Origins of human cooperation and morality. Annual Review of Psychology, 64, 231–255.CrossRef

Traeger, M. L., Sebo, S. S., Jung, M., Scassellati, B., & Christakis, N. A. (2020). Vulnerable robots positively shape human conversational dynamics in a human–robot team. Proceedings of the National Academy of Sciences of USA, 117(12), 6370–6375.CrossRef

Van Esch, P., & Cui, Y. (2021). Does consumer promiscuity influence purchase intent? The role of artificial intelligence (AI), change seeking, and pride. Journal of the Association for Consumer Research. https://doi.org/10.1086/714503CrossRef

Van Esch, P., Cui, Y., & Jain, S. P. (2020). Stimulating or intimidating: The effect of AI-enabled in-store communication on consumer patronage likelihood. Journal of Advertising, 50(1), 63–80.CrossRef

Van Esch, P., Cui, Y., & Jain, S. P. (2021). The effect of political ideology and message frame on donation intent during the COVID-19 pandemic. Journal of Business Research, 125, 201–213.CrossRef

Venkatesh, V., Thong, J., & Xin, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.CrossRef

Wang, Z., Mao, H., Li, Y. J., & Liu, F. (2017). Smile big or not? Effects of smile intensity on perceptions of warmth and competence. Journal of Consumer Research, 43(5), 787–805.

Williams, K. C., & Spiro, R. L. (1985). Communication style in the salesperson–customer dyad. Journal of Marketing Research, 22(4), 434–442.CrossRef

Winterich, K. P., Mittal, V., & Aquino, K. (2013). When does recognition increase charitable behavior? Toward a moral identity-based model. Journal of Marketing, 77(3), 121–134.CrossRef

Xu, Z. X., & Ma, H. K. (2016). How can a deontological decision lead to moral behavior? The moderating role of moral identity. Journal of Business Ethics, 137(3), 537–549.CrossRef

Xu, Y., Shieh, C. H., van Esch, P., & Ling, I. L. (2020). AI customer service: Task complexity, problem-solving ability, and usage intention. Australasian Marketing Journal, 28(4), 189–199.CrossRef

Yi, D. T. (2010). Determinants of fundraising efficiency of nonprofit organizations: Evidence from US public charitable organizations. Managerial and Decision Economics, 31(7), 465–475.CrossRef

Zhang, Y., Lin, C., & Yang, J. (2019). Time or money? The influence of warm and competent appeals on donation intentions. Sustainability, 11(22), 6228.CrossRef

Zou, L. W., & Chan, R. Y. K. (2019). Why and when do consumers perform green behaviors? An examination of regulatory focus and ethical ideology. Journal of Business Research, 94, 113–127.CrossRef

Titel: How Human–Chatbot Interaction Impairs Charitable Giving: The Role of Moral Judgment
verfasst von: Yuanyuan Zhou
Zhuoying Fei
Yuanqiong He
Zhilin Yang
Publikationsdatum: 03.02.2022
Verlag: Springer Netherlands
Erschienen in: Journal of Business Ethics / Ausgabe 3/2022
Print ISSN: 0167-4544
Elektronische ISSN: 1573-0697
DOI: https://doi.org/10.1007/s10551-022-05045-w

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