Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance

Mariano Méndez-Suárez1, Abel Monfort1, Jose-Luis Hervas-Oliver2
1ESIC University – ESIC Business & Marketing School, Spain
2Universitat Politècnica de València, Spain

Tài liệu tham khảo

Aguado-Correa, 2023, Evaluation of non-financial information and its contribution to advancing the sustainable development goals within the Spanish banking sector, European Research on Management and Business Economics, 29, 10.1016/j.iedeen.2022.100211 Ajzen, 1980 Alcázar-Blanco, 2021, Generalized regression neuronal networks to predict the value of numismatic assets. Evidence for the walking liberty half dollar, European Research on Management and Business Economics, 27, 10.1016/j.iedeen.2021.100167 Anderson, 2001, A new method for non-parametric multivariate analysis of variance, Austral Ecology, 26, 32 Bamel, 2022, Managing the dark side of digitalization in the future of work: A fuzzy TISM approach, Journal of Innovation & Knowledge, 7, 10.1016/j.jik.2022.100275 Belanche, 2020, Service robot implementation: A theoretical framework and research agenda, Service Industries Journal, 40, 203, 10.1080/02642069.2019.1672666 Bogliacino, 2013, Job creation in business services: Innovation, demand, and polarisation, Structural Change and Economic Dynamics, 25, 95, 10.1016/j.strueco.2012.07.007 Boogaard, 2011, Social acceptance of dairy farming: The ambivalence between the two faces of modernity, Journal of Agricultural and Environmental Ethics, 24, 259, 10.1007/s10806-010-9256-4 Carayannis, 2014, Linking innovation, productivity, and competitiveness: Implications for policy and practice, Journal of Technology Transfer, 39, 199, 10.1007/s10961-012-9295-2 Cirillo, 2018, Technology and occupations in business cycles, Sustainability, 10, 1, 10.3390/su10020463 Clarke, 1993, Non-parametric multivariate analyses of changes in community structure, Australian Journal of Ecology, 18, 117, 10.1111/j.1442-9993.1993.tb00438.x Czaja, 2006, Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (create), Psychology and Aging, 21, 333, 10.1037/0882-7974.21.2.333 Dachs, 2014, Innovation, employment growth, and foreign ownership of firms: A European perspective, Research Policy, 43, 214, 10.1016/j.respol.2013.08.001 Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly: Management Information Systems, 13, 319, 10.2307/249008 de Graaf, 2013, Exploring influencing variables for the acceptance of social robots, Robotics and Autonomous Systems, 61, 1476, 10.1016/j.robot.2013.07.007 de Graaf, 2019, Why would I use this in my home? A model of domestic social robot acceptance, Human–Computer Interaction, 34, 115, 10.1080/07370024.2017.1312406 De Obesso Arias, 2023, Artificial intelligence to manage workplace bullying, Journal of Business Research, 160 Dinet, 2014, Exploratory investigation of attitudes towards assistive robots for future users, Travail Humain, 77, 105, 10.3917/th.772.0105 Febra, 2023, Reputation, return and risk: A new approach, European Research on Management and Business Economics, 29, 10.1016/j.iedeen.2022.100207 Fernández-Portillo, 2022, The role of innovation in the relationship between digitalisation and economic and financial performance. A company-level research, European Research on Management and Business Economics, 28, 10.1016/j.iedeen.2021.100190 Fornes, 2019, Ethics, responsibility, and sustainability in MBAs. Understanding the motivations for the incorporation of ERS in less traditional markets, 11, 7060 Geradts, 2019, Driving sustainability-oriented innovation building the right culture what sustainability- oriented innovation, MIT Sloan Management Review, 60, 1 Glikson, 2020, Human trust in artificial intelligence: Review of empirical research, Academy of Management Annals, 14, 627, 10.5465/annals.2018.0057 Gnambs, 2019, Are robots becoming unpopular? Changes in attitudes towards autonomous robotic systems in Europe, Computers in Human Behavior, 93, 53, 10.1016/j.chb.2018.11.045 Ha, 2022, Effects of digital public services on trades in green goods: Does institutional quality matter?, Journal of Innovation & Knowledge, 7, 10.1016/j.jik.2022.100168 Heerink, 2010, Assessing acceptance of assistive social agent technology by older adults: The almere model, International Journal of Social Robotics, 2, 361, 10.1007/s12369-010-0068-5 Heredia, 2022, How do digital capabilities affect firm performance? The mediating role of technological capabilities in the “new normal, Journal of Innovation & Knowledge, 7, 10.1016/j.jik.2022.100171 Hudson, 2017, People's attitudes to robots in caring for the elderly, International Journal of Social Robotics, 9, 199, 10.1007/s12369-016-0384-5 2018 Ivanov, 2019, What should robots do? A comparative analysis of industry professionals, educators and tourists, Information and Communication Technologies in Tourism, 2019, 249 Jankowska, 2021, Do clusters matter for foreign subsidiaries in the era of industry 4.0? The case of the aviation valley in Poland, European Research on Management and Business Economics, 27, 10.1016/j.iedeen.2021.100150 Kafetzopoulos, 2015, Relationship between quality management, innovation and competitiveness. Evidence from Greek companies, Journal of Manufacturing Technology Management, 26, 1177, 10.1108/JMTM-02-2015-0007 Kindt, 2005 Krak, 2020, Using visual analytics to develop human and machine-centric models: A review of approaches and proposed information technology, Computational Intelligence, June 2019, 1 Kruskal, 1964, Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis, Psychometrika, 29, 1, 10.1007/BF02289565 Kulviwat, 2007, Toward a unified theory of consumer acceptance technology, Psychology and Marketing, 24, 1059, 10.1002/mar.20196 Kuo, 2009, Age and gender factors in user acceptance of healthcare robots, 214 Lakshmi, 2020, Understanding the robotization landscape transformation: A centering resonance analysis, Journal of Innovation and Knowledge, 5, 59, 10.1016/j.jik.2019.01.005 La Rose, 2004, A social cognitive theory of internet uses and gratifications: Toward a new model of media attendance, Journal of Broadcasting & Electronic Media, 48, 358, 10.1207/s15506878jobem4803_2 Lee, 2012, The determinants of consumer attitude toward service innovation - The evidence of ETC system in Taiwan, Journal of Services Marketing, 26, 9, 10.1108/08876041211199689 Leung, 2020, Chatbot usage in restaurant takeout orders: A comparison study of three ordering methods, Journal of Hospitality and Tourism Management, 45, 377, 10.1016/j.jhtm.2020.09.004 Longoni, 2019, Resistance to medical artificial intelligence, Journal of Consumer Research, 46, 629, 10.1093/jcr/ucz013 Mair, 2018 Manyika, 2017, What the future of work will mean for jobs, skills, and wages Maradana, 2019, Innovation and economic growth in European economic area countries: The granger causality approach, IIMB Management Review, 31, 268, 10.1016/j.iimb.2019.03.002 Mariani, 2023, Artificial intelligence empowered conversational agents: A systematic literature review and research agenda, Journal of Business Research, 161 Medina, 2022, Innovation in the broadcasters’ business model: A bibliometric and review approach, European Research on Management and Business Economics, 28, 10.1016/j.iedeen.2022.100202 Méndez-Suárez, 2023, Negative word of mouth (NWOM) using compartmental epidemiological models in banking digital transformation, Contemporary Economics, 17, 77, 10.5709/ce.1897-9254.500 Méndez-Suárez, 2023, Why do companies employ prohibited unethical artificial intelligence practices?, IEEE Transactions on Engineering Management, 1, 10.1109/TEM.2023.3258686 Méndez-Suárez, 2019, Artificial intelligence modelling framework for financial automated advising in the copper market, Journal of Open Innovation: Technology, Market, and Complexity, 5, 1 Méndez-Suárez, 2023 Meyer-Waarden, 2022, Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles, Technovation, 109 Monfort, 2021, Economic impact of corporate foundations: An event analysis approach, Journal of Business Research, 122, 159, 10.1016/j.jbusres.2020.08.046 Montero Guerra, 2023, The impact of digital transformation on talent management, Technological Forecasting and Social Change, 188 Murata, 2019, Cross-cultural study about cyborg market acceptance: Japan versus Spain, European Research on Management and Business Economics, 25, 129, 10.1016/j.iedeen.2019.07.003 Nomura, 2017, Robots and gender, Gender and the Genome, 1, 18, 10.1089/gg.2016.29002.nom Nomura, 2008, Prediction of human behavior in human–Robot interaction using psychological scales for anxiety and negative attitudes toward robots, IEEE Transactions on Robotics, 24, 442, 10.1109/TRO.2007.914004 Nyagadza, 2022, Sustainable digital transformation for ambidextrous digital firms: Systematic literature review, meta-analysis and agenda for future research directions, Sustainable Technology and Entrepreneurship, 1, 10.1016/j.stae.2022.100020 Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., O’Hara, R. B., Simpson, G. L., ... & Wagner, H. (2019). Package ‘vegan’: Community Ecology Package. Version 2.5-6, https://CRAN.R-project.org/package=vegan. Önkal, 2009, The relative influence of advice from human experts and statistical methods on forecast adjustments, Journal of Behavioral Decision Making, 22, 390, 10.1002/bdm.637 Pan, 2022, The adoption of artificial intelligence in employee recruitment: The influence of contextual factors, The International Journal of Human Resource Management, 33, 1125, 10.1080/09585192.2021.1879206 Parlangeli, 2023, Gender role stereotypes at work in humanoid robots, Behaviour & Information Technology, 42, 316, 10.1080/0144929X.2022.2150565 Paule-Vianez, 2020, A bibliometric analysis of behavioural finance with mapping analysis tools, European Research on Management and Business Economics, 26, 71, 10.1016/j.iedeen.2020.01.001 Pietri, 2013, Recalibrating positive and negative weighting tendencies in attitude generalization, Journal of Experimental Social Psychology, 49, 1100, 10.1016/j.jesp.2013.08.001 Placek, 2022 Pradhan, 2018, Are innovation and financial development causative factors in economic growth? Evidence from a panel granger causality test, Technological Forecasting and Social Change, 132, 130, 10.1016/j.techfore.2018.01.024 2021 Rampersad, 2020, Robot will take your job: Innovation for an era of artificial intelligence, Journal of Business Research, 116, 68, 10.1016/j.jbusres.2020.05.019 Rice, 2019, What factors predict the type of person who is willing to fly in an autonomous commercial airplane?, Journal of Air Transport Management, 75, 131, 10.1016/j.jairtraman.2018.12.008 Salvine, 2011, TC spotlight: Benefits of human-robot interaction, IEEE Robotics and Automation Magazine, 18, 98, 10.1109/MRA.2011.943237 Sander, 2014, The rise of robotics Schermerhorn, 2008, Robot social presence and gender: Do females view robots differently than males?, 263 Schillo, 2021, Gender dimensions of digitalisation: A comparison of venture capital backed start-ups across fields, Technology Analysis and Strategic Management, 0, 1 Schwab, 2017 Scopelliti, 2005, Robots in a domestic setting: A psychological approach, Universal Access in the Information Society, 4, 146, 10.1007/s10209-005-0118-1 Shibata, 2009, Cross-cultural studies on subjective evaluation of a seal robot, Advanced Robotics, 23, 443, 10.1163/156855309X408826 Shin, 2011, Modeling the acceptance of socially interactive robotics: Social presence in human–robot interaction, Interaction StudiesInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems, 12, 430, 10.1075/is.12.3.04shi Smith A., & Anderson M. (2017). Automation in everyday life. In Pew research center, Washingtong, DC. https://policycommons.net/artifacts/617633/automation-in-everyday-life/1598468/. Song, 2020, Factors influencing consumers’ intention to adopt fashion robot advisors: Psychological network analysis, Clothing and Textiles Research Journal, 1 Turja, 2020, Robot acceptance model for care (RAM-care): A principled approach to the intention to use care robots, Information and Management, 57, 10.1016/j.im.2019.103220 Venkatesh, 2012, Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology, MIS Quarterly, 36, 157, 10.2307/41410412 Venkatesh, 2000, Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior, MIS Quarterly, 24, 115, 10.2307/3250981 Venkatesh, 2003, User acceptance of information technology: Toward a unified view, MIS Quarterly: Management Information Systems, 27, 425, 10.2307/30036540 Verheyen, 2020, Can we use conceptual spaces to model moral principles?, Review of Philosophy and Psychology Wickham, 2009 Windasari, 2022, Digital-only banking experience: Insights from gen Y and gen Z, Journal of Innovation & Knowledge, 7, 10.1016/j.jik.2022.100170 Winkler, 2020, Sara, the lecturer: improving learning in online education with a scaffolding-based conversational agent, 1 Wongsansukcharoen, 2023, Effect of innovations in human resource practices, innovation capabilities, and competitive advantage on small and medium enterprises’ performance in Thailand, European Research on Management and Business Economics, 29, 10.1016/j.iedeen.2022.100210 Wu, 2023, Role of artificial intelligence in marketing strategies and performance, Psychology & Marketing, 40, 484, 10.1002/mar.21737 Wurthmann, 2014, Business students’ attitudes toward innovation and intentions to start their own businesses, International Entrepreneurship and Management Journal, 10, 691, 10.1007/s11365-013-0249-4