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Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis

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  • Chong Li

    (Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian 116024, China)

  • Yingqi Li

    (Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian 116024, China)

Abstract

The development and application of emerging technologies pose many social risks, which raise public concerns. Various factors influence the public risk perception of emerging technologies, and a systematic and accurate understanding of these factors plays a vital role in promoting the sustainable development of emerging technologies. Considerable inconsistency and ambiguity exist in the influence of relevant factors on the public risk perception of emerging technologies in existing studies, which need to be explored systematically and comprehensively through meta-analysis. This study constructs an analytical framework of “technology–psychology–society” and conducts a meta-analysis of 272 papers, including 449 correlations and 191,195 samples. The results show that perceived benefit, knowledge, innovativeness, trust, and social influence have significant negative effects on risk perception. Perceived cost has a significant positive effect on risk perception. Gender and cultural dimensions of power distance, uncertainty avoidance, individualism–collectivism, and masculinity–femininity have moderating effects on the relationship between relevant factors and risk perception; the type of emerging technology, age, and the cultural dimension of long-term/short-term orientation do not have moderating effects. Based on the above findings, this study proposes corresponding suggestions from the perspectives of R&D, application, and management of emerging technologies.

Suggested Citation

  • Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3939-:d:1076052
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    1. George Gaskell & Nick Allum & Wolfgang Wagner & Nicole Kronberger & Helge Torgersen & Juergen Hampel & Julie Bardes, 2004. "GM Foods and the Misperception of Risk Perception," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 185-194, February.
    2. Ortwin Renn & Christina Benighaus, 2013. "Perception of technological risk: insights from research and lessons for risk communication and management," Journal of Risk Research, Taylor & Francis Journals, vol. 16(3-4), pages 293-313, April.
    3. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2018. "The moderating role of device type and age of users on the intention to use mobile shopping applications," Technology in Society, Elsevier, vol. 53(C), pages 79-90.
    4. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).
    5. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    6. Midgley, David F & Dowling, Grahame R, 1978. "Innovativeness: The Concept and Its Measurement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 4(4), pages 229-242, March.
    7. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    8. Hyun-Sun Ryu & Kwang Sun Ko, 2020. "Sustainable Development of Fintech: Focused on Uncertainty and Perceived Quality Issues," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    9. Schmidthuber, Lisa & Maresch, Daniela & Ginner, Michael, 2020. "Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    10. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    11. Kayode Odusanya & Olu Aluko & Banita Lal, 2022. "Building Consumers’ Trust in Electronic Retail Platforms in the Sub-Saharan Context: an exploratory study on Drivers and Impact on Continuance Intention," Information Systems Frontiers, Springer, vol. 24(2), pages 377-391, April.
    12. Michael Siegrist, 2000. "The Influence of Trust and Perceptions of Risks and Benefits on the Acceptance of Gene Technology," Risk Analysis, John Wiley & Sons, vol. 20(2), pages 195-204, April.
    13. Caroline Lancelot Miltgen & Ales Popovic & Tiago Oliveira, 2013. "Determinants of end-user acceptance of biometrics: Integrating the “Big 3” of technology acceptance with privacy context," Post-Print hal-01116141, HAL.
    14. Gerlach, Johannes M. & Lutz, Julia K.T., 2021. "Digital financial advice solutions – Evidence on factors affecting the future usage intention and the moderating effect of experience," Journal of Economics and Business, Elsevier, vol. 117(C).
    15. Yuan Tang & Yu-Tao Yang & Yun-Fei Shao, 2019. "Acceptance of Online Medical Websites: An Empirical Study in China," IJERPH, MDPI, vol. 16(6), pages 1-22, March.
    16. Wouter Poortinga & Nick F. Pidgeon, 2005. "Trust in Risk Regulation: Cause or Consequence of the Acceptability of GM Food?," Risk Analysis, John Wiley & Sons, vol. 25(1), pages 199-209, February.
    17. Meena Kumari Pradhan & Jungjoo Oh & Hwansoo Lee, 2018. "Understanding Travelers’ Behavior for Sustainable Smart Tourism: A Technology Readiness Perspective," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    18. Ha-Won Jang & Soo-Bum Lee, 2020. "Serving Robots: Management and Applications for Restaurant Business Sustainability," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    19. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    20. Radwan Moh'd Al-Dwairi & Murad Al Azzam, 2019. "Influences and Intention of Consumer's Online Shopping Decision: Jordan as a Case," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 11(1), pages 40-53, January.
    21. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    22. Wannasiri Bhuasiri & Hangjung Zo & Hwansoo Lee & Andrew P. Ciganek, 2016. "User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand," Information Technology for Development, Taylor & Francis Journals, vol. 22(4), pages 672-695, October.
    23. Lingming Chen & Md. Salamun Rashidin & Fei Song & Yi Wang & Sara Javed & Jian Wang, 2021. "Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model," SAGE Open, , vol. 11(2), pages 21582440211, June.
    24. Rodríguez-Entrena, Macario & Salazar-Ordóñez, Melania & Sayadi, Samir, 2013. "Applying partial least squares to model genetically modified food purchase intentions in southern Spain consumers," Food Policy, Elsevier, vol. 40(C), pages 44-53.
    25. Safeer Ullah Khan & Xiangdong Liu & Ikram Ullah Khan & Cheng Liu & Muhammad Imran Rasheed, 2020. "Assessing the Investors' Acceptance of Electronic Stock Trading in a Developing Country: The Mediating Role of Perceived Risk Dimensions," Information Resources Management Journal (IRMJ), IGI Global, vol. 33(1), pages 59-82, January.
    26. Muhammad Fazal Ijaz & Jongtae Rhee, 2018. "Constituents and Consequences of Online-Shopping in Sustainable E-Business: An Experimental Study of Online-Shopping Malls," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    27. Hyeon Mo Jeon & Hye Jin Sung & Hyun Young Kim, 2020. "Customers’ acceptance intention of self-service technology of restaurant industry: expanding UTAUT with perceived risk and innovativeness," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 533-551, December.
    28. Zhongxiang Feng & Jingyu Li & Xiaoqin Xu & Amy Guo & Congjun Huang & Xu Jiang, 2021. "Take-Over Intention during Conditionally Automated Driving in China: Current Situation and Influencing Factors," IJERPH, MDPI, vol. 18(21), pages 1-16, October.
    29. Mario Arias-Oliva & Jorge de Andrés-Sánchez & Jorge Pelegrín-Borondo, 2021. "Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households," Mathematics, MDPI, vol. 9(4), pages 1-19, February.
    30. Linda Ferrari, 2022. "Farmers' attitude toward CRISPR/Cas9: The case of blast resistant rice," Agribusiness, John Wiley & Sons, Ltd., vol. 38(1), pages 175-194, January.
    31. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    32. Yong Liu & Meng Wang & Danyu Huang & Qiang Huang & Hua Yang & Zhigang Li, 2019. "The impact of mobility, risk, and cost on the users’ intention to adopt mobile payments," Information Systems and e-Business Management, Springer, vol. 17(2), pages 319-342, December.
    33. Eloy Gil-Cordero & Juan Pedro Cabrera-Sánchez & Manuel Jesús Arrás-Cortés, 2020. "Cryptocurrencies as a Financial Tool: Acceptance Factors," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
    34. Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, à ngel F., 2020. "Acceptance and use of big data techniques in services companies," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    35. Andrews, Lynda & Bianchi, Constanza, 2013. "Consumer internet purchasing behavior in Chile," Journal of Business Research, Elsevier, vol. 66(10), pages 1791-1799.
    36. Paul Slovic & Baruch Fischhoff & Sarah Lichtenstein, 1982. "Why Study Risk Perception?," Risk Analysis, John Wiley & Sons, vol. 2(2), pages 83-93, June.
    37. Hasan, Rajibul & Shams, Riad & Rahman, Mizan, 2021. "Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri," Journal of Business Research, Elsevier, vol. 131(C), pages 591-597.
    38. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    39. Michael Siegrist & George Cvetkovich, 2000. "Perception of Hazards: The Role of Social Trust and Knowledge," Risk Analysis, John Wiley & Sons, vol. 20(5), pages 713-720, October.
    40. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P. & Algharabat, Raed, 2018. "Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 125-138.
    41. Henry H. Willis, 2007. "Guiding Resource Allocations Based on Terrorism Risk," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 597-606, June.
    42. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    43. Terje Aven & Ortwin Renn, 2009. "On risk defined as an event where the outcome is uncertain," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 1-11, January.
    44. Peng Liu & Run Yang & Zhigang Xu, 2019. "Public Acceptance of Fully Automated Driving: Effects of Social Trust and Risk/Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 326-341, February.
    45. Mumtaz Abdul Hameed & Steve Counsell, 2014. "Establishing Relationships Between Innovation Characteristics And It Innovation Adoption In Organisations: A Meta-Analysis Approach," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-41.
    46. Teresa Brell & Ralf Philipsen & Martina Ziefle, 2019. "sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 342-357, February.
    47. Jian Mou & Dong-Hee Shin & Jason F. Cohen, 2017. "Trust and risk in consumer acceptance of e-services," Electronic Commerce Research, Springer, vol. 17(2), pages 255-288, June.
    48. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    49. Hiba Alhassany & Faisal Faisal, 2018. "Factors influencing the internet banking adoption decision in North Cyprus: an evidence from the partial least square approach of the structural equation modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 4(1), pages 1-21, December.
    50. Senyo, PK & Osabutey, Ellis L.C., 2020. "Unearthing antecedents to financial inclusion through FinTech innovations," Technovation, Elsevier, vol. 98(C).
    51. Zapan Barua & Wang Aimin & Xu Hongyi, 2018. "A perceived reliability-based customer satisfaction model in self-service technology," The Service Industries Journal, Taylor & Francis Journals, vol. 38(7-8), pages 446-466, June.
    52. Ronald Baganzi & Antonio K. W. Lau, 2017. "Examining Trust and Risk in Mobile Money Acceptance in Uganda," Sustainability, MDPI, vol. 9(12), pages 1-22, December.
    53. Hye Jin Sung & Hyeon Mo Jeon, 2020. "Untact: Customer’s Acceptance Intention toward Robot Barista in Coffee Shop," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    54. Juthamon Sithipolvanichgul & Charlie Chen & Judy Land & Peter Ractham, 2021. "Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors," Energies, MDPI, vol. 14(7), pages 1-15, March.
    55. Shweta Pandey & Deepak Chawla, 2020. "Exploring Factors That Drive Adoption of Various Categories of M-commerce: An Emerging Market Study," Global Business Review, International Management Institute, vol. 21(2), pages 526-546, April.
    56. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou & Levente Kovács, 2020. "Evaluation and Classification of Mobile Financial Services Sustainability Using Structural Equation Modeling and Multiple Criteria Decision-Making Methods," Sustainability, MDPI, vol. 12(4), pages 1-34, February.
    57. Ahmet Bulent Ozturk & Khaldoon Nusair & Fevzi Okumus & Dipendra Singh, 2017. "Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework," Information Systems Frontiers, Springer, vol. 19(4), pages 753-767, August.
    58. Jinxin Pan & Shuai Ding & Desheng Wu & Shanlin Yang & Jun Yang, 2019. "Exploring behavioural intentions toward smart healthcare services among medical practitioners: a technology transfer perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5801-5820, September.
    59. Liébana-Cabanillas, Francisco & Molinillo, Sebastian & Ruiz-Montañez, Miguel, 2019. "To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 266-276.
    60. Jinyuan Guo & Jiabao Lin & Lei Li, 2021. "Building users’ intention to participate in a sharing economy with institutional and calculative mechanisms: an empirical investigation of DiDi in China," Information Technology for Development, Taylor & Francis Journals, vol. 27(4), pages 645-669, October.
    61. Ali Siddiq Alhakami & Paul Slovic, 1994. "A Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1085-1096, December.
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