How AI encourages consumers to share their secrets? The role of anthropomorphism, personalisation, and privacy concerns and avenues for future research
暂无分享,去创建一个
[1] Nripendra P. Rana,et al. Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness , 2021, Eur. J. Inf. Syst..
[2] Nripendra P. Rana,et al. Drivers of circular economy for small and medium enterprises: Case study on the Indian state of Tamil Nadu , 2022, Journal of Business Research.
[3] Cinthia B. Satornino,et al. Artificial intelligence: The light and the darkness , 2021 .
[4] Xingyang Lv,et al. Anthropomorphism and customers’ willingness to use artificial intelligence service agents , 2021, Journal of Hospitality Marketing & Management.
[5] C. Flavián,et al. Examining the effects of robots' physical appearance, warmth, and competence in frontline services: The Humanness‐Value‐Loyalty model , 2021, Psychology & Marketing.
[6] Nripendra P. Rana,et al. Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review , 2021, Information Systems Frontiers.
[7] Yogesh K. Dwivedi,et al. 'Okay google, what about my privacy?': User's privacy perceptions and acceptance of voice based digital assistants , 2021, Comput. Hum. Behav..
[8] T. Fernandes,et al. Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption , 2021 .
[9] Julien Cloarec. The personalization–privacy paradox in the attention economy , 2020 .
[10] Emma L. Slade,et al. A meta-analysis of the factors affecting eWOM providing behaviour , 2020, European Journal of Marketing.
[11] Yogesh Kumar Dwivedi,et al. The impact of social media on consumer acculturation: Current challenges, opportunities, and an agenda for research and practice , 2020, Int. J. Inf. Manag..
[12] Charles F. Hofacker,et al. Dystopia and utopia in digital services , 2020 .
[13] Claas Christian Germelmann,et al. Alexa, Can I Trust You? Exploring Consumer Paths to Trust in Smart Voice-Interaction Technologies , 2020, Journal of the Association for Consumer Research.
[14] L. Coote,et al. Beyond concern: socio-demographic and attitudinal influences on privacy and disclosure choices , 2020 .
[15] Yogesh Kumar Dwivedi,et al. Elucidation of IS project success factors: an interpretive structural modelling approach , 2019, Ann. Oper. Res..
[16] Dhruv Grewal,et al. How artificial intelligence will change the future of marketing , 2019, Journal of the Academy of Marketing Science.
[17] Paul A. Pavlou,et al. Technology-enabled interactions in digital environments:a conceptual foundation for current and future research , 2019, Journal of the Academy of Marketing Science.
[18] Arun Rai,et al. Explainable AI: from black box to glass box , 2019, Journal of the Academy of Marketing Science.
[19] Elena Karahanna,et al. The future of technology and marketing: a multidisciplinary perspective , 2019, Journal of the Academy of Marketing Science.
[20] Lu Lu,et al. Consumers acceptance of artificially intelligent (AI) device use in service delivery , 2019, Int. J. Inf. Manag..
[21] J. Hulland,et al. Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing , 2019, Journal of the Academy of Marketing Science.
[22] Laura Serviere Munoz,et al. Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications , 2019, Journal of Marketing Management.
[23] Grzegorz Mazurek,et al. Perception of privacy and data protection in the context of the development of artificial intelligence , 2019, Journal of Management Analytics.
[24] Yogesh Kumar Dwivedi,et al. Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda , 2019, Int. J. Inf. Manag..
[25] Andreas M. Kaplan,et al. A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence , 2019, California Management Review.
[26] Lu Lu,et al. Developing and validating a service robot integration willingness scale , 2019, International Journal of Hospitality Management.
[27] Emi Moriuchi. Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty , 2019, Psychology & Marketing.
[28] Russell W. Belk,et al. Servant, friend or master? The relationships users build with voice-controlled smart devices , 2019, Journal of Marketing Management.
[29] Dimitrios Buhalis,et al. Real-time co-creation and nowness service: lessons from tourism and hospitality , 2019, Journal of Travel & Tourism Marketing.
[30] Nadia Magnenat Thalmann,et al. Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking , 2019, Marketing Letters.
[31] Yogesh Kumar Dwivedi,et al. Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model , 2017, Information Systems Frontiers.
[32] Yogesh Kumar Dwivedi,et al. Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor , 2019, Comput. Hum. Behav..
[33] Irina V. Kozlenkova,et al. Online relationship marketing , 2019, Journal of the Academy of Marketing Science.
[34] Venkatesh Shankar,et al. How Artificial Intelligence (AI) is Reshaping Retailing , 2018, Journal of Retailing.
[35] D. Hoffman,et al. Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects , 2018, Journal of the Academy of Marketing Science.
[36] Jan H. Kietzmann,et al. Artificial Intelligence in Advertising , 2018, Journal of Advertising Research.
[37] Yogesh Kumar Dwivedi,et al. Predicting changing pattern: building model for consumer decision making in digital market , 2018, J. Enterp. Inf. Manag..
[38] N. Epley,et al. A Mind like Mine: The Exceptionally Ordinary Underpinnings of Anthropomorphism , 2018, Journal of the Association for Consumer Research.
[39] V. Ramaswamy,et al. Offerings as Digitalized Interactive Platforms: A Conceptual Framework and Implications , 2018, Journal of Marketing.
[40] Paul R. Daugherty,et al. Collaborative Intelligence: Humans and AI Are Joining Forces , 2018 .
[41] Yogesh Kumar Dwivedi,et al. Digital Payments Adoption: An Analysis of Literature , 2017, I3E.
[42] Yogesh Kumar Dwivedi,et al. Social media in marketing: A review and analysis of the existing literature , 2017, Telematics Informatics.
[43] Menno D. T. de Jong,et al. The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review , 2017, Telematics Informatics.
[44] Arne De Keyser,et al. “Service Encounter 2.0”: an investigation into the roles of technology, employees and customers , 2017 .
[45] Yogesh Kumar Dwivedi,et al. Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique , 2017 .
[46] Yogesh Kumar Dwivedi,et al. Use of Social Media in Citizen-Centric Electronic Government Services: A Literature Analysis , 2017, Int. J. Electron. Gov. Res..
[47] Hongwei Liu,et al. Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making , 2017, Inf. Manag..
[48] Anita Pansari,et al. Customer engagement: the construct, antecedents, and consequences , 2017 .
[49] Mihaela Popescu,et al. Big data analytics and the limits of privacy self-management , 2017, New Media Soc..
[50] Kelly D. Martin,et al. The role of data privacy in marketing , 2016, Journal of the Academy of Marketing Science.
[51] Amy L. Ostrom,et al. Domo Arigato Mr. Roboto , 2017 .
[52] Zied Mani,et al. Drivers of consumers’ resistance to smart products , 2017 .
[53] Yogesh Kumar Dwivedi. Affiliate marketing: An overview and analysis of emerging literature , 2017 .
[54] Iryna Pentina,et al. Exploring privacy paradox in information-sensitive mobile app adoption: A cross-cultural comparison , 2016, Comput. Hum. Behav..
[55] Charlie C. Chen,et al. Intention to disclose personal information via mobile applications: A privacy calculus perspective , 2016, Int. J. Inf. Manag..
[56] N. Pappas. Marketing strategies, perceived risks, and consumer trust in online buying behaviour , 2016 .
[57] Mehmet Emin Mutlu,et al. On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants , 2016 .
[58] Heng Xu,et al. Individuals’ Attitudes Towards Electronic Health Records: A Privacy Calculus Perspective , 2016 .
[59] Ashutosh Dixit,et al. Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing , 2015, Journal of the Academy of Marketing Science.
[60] Yongqiang Sun,et al. Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences , 2015, Comput. Hum. Behav..
[61] Maik Eisenbeiss,et al. The Importance of Trust for Personalized Online Advertising , 2015 .
[62] D. Mahr,et al. Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness , 2015 .
[63] G. Loewenstein,et al. Privacy and human behavior in the age of information , 2015, Science.
[64] Yogesh Kumar Dwivedi,et al. Profiling Existing Research on Social Innovation in the Public Sector , 2014, Inf. Syst. Manag..
[65] Hamid Reza Peikari,et al. The determinants of individuals' perceived e-security: Evidence from Malaysia , 2014, Int. J. Inf. Manag..
[66] James Y. L. Thong,et al. Internet Privacy Concerns: An Integrated Conceptualization and Four Empirical Studies , 2013, MIS Q..
[67] Yogesh Kumar Dwivedi,et al. Theories and Theoretical Models for Examining the Adoption of e-Government Services , 2012 .
[68] Matthew L. Jensen,et al. Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers , 2012, J. Assoc. Inf. Sci. Technol..
[69] Yogesh Kumar Dwivedi,et al. Reflecting on E-Government Research: Toward a Taxonomy of Theories and Theoretical Constructs , 2011, Int. J. Electron. Gov. Res..
[70] Mary Beth Rosson,et al. The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing , 2011, Decis. Support Syst..
[71] Ritu Agarwal,et al. Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion , 2009, MIS Q..
[72] K. Dautzenberg,et al. Customer acceptance of RFID technology: Evidence from the German electronic retail sector , 2009 .
[73] J. Cacioppo,et al. On seeing human: a three-factor theory of anthropomorphism. , 2007, Psychological review.
[74] Kai Lung Hui,et al. Overcoming Online Information Privacy Concerns: An Information-Processing Theory Approach , 2007, J. Manag. Inf. Syst..
[75] Adam N. Joinson,et al. Development of measures of online privacy concern and protection for use on the Internet , 2007, J. Assoc. Inf. Sci. Technol..
[76] Tamara Dinev,et al. An Extended Privacy Calculus Model for E-Commerce Transactions , 2006, Inf. Syst. Res..
[77] C. Nass,et al. Machines and Mindlessness , 2000 .
[78] I. Ajzen. The theory of planned behavior , 1991 .