Determining Consumer Purchase Intentions Based on Innovative Work Behavior: A Qualitative Study Within the Framework of The Uncanny Valley Theory
DOI:
https://doi.org/10.5281/zenodo.18148404Anahtar Kelimeler:
Uncanny Valley Theory- Innovative Work Behavior- Purchase Intention- Digital MarketingÖzet
Advances in artificial intelligence technologies have led to the widespread use of human-like systems in marketing communications. Applications such as virtual influencers, chatbots, and humanoid robots are becoming increasingly realistic to facilitate consumer interaction. However, these applications can cause discomfort among consumers, especially after a certain level of realism is achieved. This phenomenon is explained in literature as the ‘uncanny valley’ effect. This study aims to examine the effects of interactions between information technology sector employees and human-like digital entities on their purchase intentions and innovative work behaviors within the framework of the Uncanny Valley Theory. The research was conducted with IT sector employees in an internal customer role. These participants also have the potential to represent external customer behavior as users of products and services. The research findings reveal that innovative work behavior is a complex process that influences consumer purchase intentions. Innovative products consider not only the functionality of the product but also human-like qualities such as reliability, emotionality, practicality of use and social acceptance. Therefore, the findings obtained because of this study not only fill the gap in the literature but also comprehensively address the behavioral effects from both the internal customer (employee) and external customer (consumer) perspectives.
Referanslar
Armstrong, J. S. (1970). How to avoid exploratory research. Journal of Advertising Research, 10(4), 27-30.
Bae, S., Jung, T., Cho, J., Kwon, O. (2024). Effects of meta-human characteristics on user acceptance: from the perspective of uncanny valley theory. Behaviour & Information Technology, 1-18.
Bartneck, C., Kanda, T., Ishiguro, H., Hagita, N. (2009). My robotic doppelgänger—A critical look at the uncanny valley. In Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication (pp. 269–276). IEEE.
Bartneck, C., Kulić, D., Croft, E., Zoghbi, S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1, 71–81.
Berg, B. L. and Lune, H. (2015). Sosyal bilimlerde nitel araştırma yöntemleri. (Çev. Aydın H.). Konya: Eğitim Yayınevi.
Braun, R. and Dickmann, J. S. (2019). The impact of the uncanny valley on consumer behavior: How mind attribution of humanoid robots impacts product evaluations [Master’s thesis, Copenhagen Business School].
Büyükbeşe, T. and Doğan, Ö. (2022). Dijital liderliğin yenilikçi iş davranışı ve iş performansı üzerine etkisi. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD), 14(26), 173–186.
Büyüköztürk, S., Gelincik, A., Demirtürk, M., Kocaturk, E., Colakoğlu, B., Dal, M. (2012). Omalizumab markedly improves urticaria activity scores and quality of life scores in chronic spontaneous urticaria patients: A real life survey. The Journal of Dermatology, 39(5), 439-442.
Cascio, W. F. and Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349-375.
Choi, J., H. J. Lee, H. W. Kim. 2017. “Examining the Effects of Personalized app Recommender Systems on Purchase Intention: A Self and Social-Interaction Perspective.” Journal of Electronic Commerce Research 18 (1): 73–102.
Correa Gonzalez, J. (2022). Human-likeness realism of digital assistants’ interface: Effects on customer experience, trust in digital assistants and purchase intention [Doctoral dissertation, Open Access Te Herenga Waka-Victoria University of Wellington].
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
De Jong, J. P. and Den Hartog, D. N. (2007). How leaders influence employees’ innovative behaviour. European Journal of Innovation Management, 10(1), 41–64.
De Jong, J. P. and Den Hartog, D. N. (2010). Measuring innovative work behaviour. Creativity and Innovation Management, 19(1), 23–36
Di Natale, A. F., Simonetti, M. E., La Rocca, S., Bricolo, E. (2023). Uncanny valley effect: A qualitative synthesis of empirical research to assess the suitability of using virtual faces in psychological research. Computers in Human Behavior Reports, 10, 100288.
El Hedhli, K., H. Zourrig, A. Al-Khateeb, I. Alnawas. 2023. “Stereotyping Human-Like Virtual Influencers in Retailing: Does Warmth Prevail Over Competence?” Journal of Retailing and Consumer Services 75: 103459.
Erdinç, E. D. and Soydaş, A. U. (2024). Tekinsiz Vadi Teorisi bağlamında yapay zeka etkileyicileri. Selçuk İletişim, 17(1), 1–38.
Ghazizadeh, M., Lee, J. D., Boyle, L. N. (2012). Extending the technology acceptance model to assess automation. Cognition, Technology & Work, 14, 39-49.
Gutuleac, R., Baima, G., Rizzo, C., Bresciani, S. (2024). Will virtual influencers overcome the uncanny valley? The moderating role of social cues. Psychology & Marketing.
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y., De Visser, E. J., Parasuraman, R. (2011). A meta-analysis of factors affecting trust in human-robot interaction. Human factors, 53(5), 517-527.
Ho, C. C. and MacDorman, K. F. (2010). Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, 26(6), 1508–1518.
Ho, C. C. and MacDorman, K. F. (2017). Measuring the uncanny valley effect: Refinements to indices for perceived humanness, attractiveness, and eeriness. International Journal of Social Robotics, 9, 129–139.
Jang, H., Jin, E., Bright, L., Wilcox, G. (2023). Sponsored by a robot? How the human likeness of virtual influencers influences purchase intentions towards sponsored products. Journal of AI, Robotics & Workplace Automation, 2(3), 215–227.
Janssen, O. (2000). Job demands, perceptions of effort–reward fairness and innovative work behaviour. Journal of Occupational and Organizational Psychology, 73(3), 287–302.
Kambar, R. (2016). Tüketici Yenilikçiliği ve Ürün İlgileniminin Marka Sadakati Üzerindeki Etkisi, (Yayınlanmış Doktora Tezi). Kocaeli Üniversitesi Sosyal Bilimler Enstitüsü, Kocaeli.
Kätsyri, J., Förger, K., Mäkäräinen, M., Takala, T. (2015). A review of empirical evidence on different uncanny valley hypotheses: Support for perceptual mismatch as one road to the valley of eeriness. Frontiers in Psychology, 6, 390.
Kim, B., de Visser, E., Phillips, E. (2022). Two uncanny valleys: Re-evaluating the uncanny valley across the full spectrum of real-world human-like robots. Computers in Human Behavior, 135, 107340.
Kim, W., Y. Ryoo, S. Lee, J.A. Lee. (2023). Chatbot advertising as a double-edged sword: The roles of regulatory focus and privacy concerns. Journal of Advertising 52, no. 4: 504–22.
Kim, W., Ryoo, Y., Choi, Y. K. (2024). That uncanny valley of mind: when anthropomorphic AI agents disrupt personalized advertising. International Journal of Advertising, 1-30.
Kumar, P. and Jhawar, A. (2024). Avatar–human interaction: Bibliometric review and future research avenues through the theory–context–methods lens. International Journal of Human–Computer Interaction, 1–15.
Lazarus, R. S. and Folkman, S. (1984). Stress, appraisal, and coping. Springer publishing company.
Lou, C., Kiew, S. T. J., Chen, T., Lee, T. Y. M., Ong, J. E. C., Phua, Z. (2023). Authentically fake? How consumers respond to the influence of virtual influencers. Journal of Advertising, 52(4), 540-557.
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.
MacDorman, K. F. and Chattopadhyay, D. (2016). Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Cognition, 146, 190-205.
Mara, M., Appel, M., Gnambs, T. (2022). Human-like robots and the uncanny valley. Zeitschrift für Psychologie.
Merriam, S. B. (2015). Qualitative research: Designing, implementing, and publishing a study. In Handbook of research on scholarly publishing and research methods (pp. 125-140). IGI Global.
Miles, M. B. and Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. sage.
Mori, M. (1970). The uncanny valley. Energy, 7(4), 33-35.
Mori, M., MacDorman, K. F., Kageki, N. (2012). The uncanny valley [From the field]. IEEE Robotics & Automation Magazine, 19(2), 98–100.
Moustakas, C. (1994). Phenomenological research methods. sage.
Nass, C. and Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of social issues, 56(1), 81–103.
Nissen, A. and Jahn, K. (2021). Between anthropomorphism, trust, and the uncanny valley: A dual-processing perspective on perceived trustworthiness and its mediating effects on use intentions of social robots. In Proceedings of the 54th Hawaii International Conference on System Sciences (pp. 360–369).
Pan, S., Qin, Z., Zhang, Y. (2024). More realistic, more better? How anthropomorphic images of virtual influencers impact the purchase intentions of consumers. Journal of Theoretical and Applied Electronic Commerce Research, 19(4), 3229–3252.
Pavlidou, P. (2021). The Uncanny Valley: The Human-Likeness of Chatbots and Its Paradoxical Impact on Consumers’ Purchase Intention in E-Commerce (Doctoral dissertation, Master’s Thesis, Tilburg University).
Poushneh, A. and Gearhart, R. S. (2025). Semi‐human artificial intelligence: The effect of search modality (text vs. voice) on perceived eeriness and consumers' purchase intention. Journal of Consumer Behaviour.
Saygin, A. P., Chaminade, T., Ishiguro, H., Driver, J., Frith, C. (2012). The thing that should not be: Predictive coding and the uncanny valley in perceiving human and humanoid robot actions. Social Cognitive and Affective Neuroscience, 7(4), 413–422.
Schuler, R. S. (1982). An integrative transactional process model of stress in organizations. Journal of Organizational Behavior, 3(1), 5-19.
Scott, S. G. and Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607.
Seymour, M., Yuan, L. I., Dennis, A., Riemer, K. (2021). Have we crossed the uncanny valley? Understanding affinity, trustworthiness, and preference for realistic digital humans in immersive environments. Journal of the Association for Information Systems, 22(3), 9.
Sohn, K. and Kwon, O. (2020). Technology acceptance theories and factors influencing artificial intelligence-based intelligent products. Telematics and Informatics, 47, 101324.
Song, S. W. and Shin, M. (2022). Uncanny valley effects on chatbot trust, purchase intention, and adoption intention in the context of ECommerce: the moderating role of avatar familiarity. International Journal of Human–Computer Interaction, 1–16.
Song, S. W. and Shin, M. (2024). Uncanny valley effects on chatbot trust, purchase intention, and adoption intention in the context of e-commerce: The moderating role of avatar familiarity. International Journal of Human–Computer Interaction, 40(2), 441-456.
Song, Y., Wang, L., Zhang, Z., Hikkerova, L. (2024). AI or human: How endorser shapes online purchase intention? Computers in Human Behavior, 158, 108300.
Spears, N. and S. N. Singh. 2004. “Measuring Attitude toward the Brand and Purchase Intentions.” Journal of Current Issues & Research in Advertising 26 (2):53–66.
Sun, Y. and Xiao, C. (2024). Uncanny valley curve or linear relationship? The different influences of robots’ human-likeness on mind perception and visuospatial perspective-taking. International Journal of Human–Computer Interaction, 1–13.
Thaler, M., Schlögl, S., Groth, A. (2020, September). Agent vs. avatar: Comparing embodied conversational agents concerning characteristics of the uncanny valley. In 2020 IEEE International Conference on Human-Machine Systems (ICHMS) (pp. 1–6). IEEE.
Thomas, V. L. and K. Fowler. 2021. “Close Encounters of the AI Kind: Use of AI Influencers as Brand Endorsers.” Journal of Advertising 50, no. 1: 11–25.
Tong, A., Sainsbury, P., Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International journal for quality in health care, 19(6), 349-357.
Ulusal, E. and Yüreğir, O. (2020). Yenilikçi iş davranışını belirleyen faktörlerin ağırlıklandırılması. Endüstri Mühendisliği Dergisi, 31(0), 17–31.
Venkatesh, V. and Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118-144.
West, M. A. (1989). Innovation amongst health care professionals. Social Behaviour, 4, 173–184.
West, M. A. andFarr, J. L. (1989). Innovation at work: Psychological perspectives. Social Behaviour, 4, 15–30.
Yam, K. C., Bigman, Y., Gray, K. (2021). Reducing the uncanny valley by dehumanizing humanoid robots. Computers in Human Behavior, 125, 106945.
Yapraklı, Ş. and Gül, B. (2021). Tüketici yenilikçiliği, algılanan risk ve ürün ilgileniminin online satın alma davranışı üzerindeki etkisi. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9(5), 1507-1534.
Yuan, F. and Woodman, R. W. (2010). Innovative behavior in the workplace: The role of performance and image outcome expectations. Academy of Management Journal, 53(2), 323–342.
Zhang, Y. and Wang, X. (2025). The effect of virtual anchor appearance on purchase intention: a perceived warmth and competence perspective. Journal of Product & Brand Management, 34(1), 84-103.
Zhu, Y. (2024). The Interaction of Influencer Types, Advertising Appeals and Product Types on Consumer Purchase Intention from the Perspective of HSM Theory. Academic Journal of Humanities & Social Sciences, 7(5), 113-122.
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