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30/11/2024
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Nguyen, T. K. C., Truong, T. T. D., & Nguyen, M. A. (2024). Examining farmers’ intention to use drone applications in agricultural production. Journal of International Economics and Management, 24(3), 59-76. https://doi.org/10.38203/jiem.024.3.0094
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Examining farmers’ intention to use drone applications in agricultural production
Main Article Content
Abstract
Digitalization in agriculture involves the integration of technological innovations across the entire supply chain, from production through distribution to consumption. This paper examines drone applications and farmers’ intentions to use them in an emerging economy. This study uses correlation analysis and structural equation modeling to analyze the data collected from 414 Vietnamese farmers. The empirical results indicate that drone compatibility and speed positively impact farmers’ desires and anticipated emotions, whereas risks negatively influence both desires and emotions. These findings also show that farmers’ desires and emotions towards drones have pushed their intentions to use them. Notably, the environmental friendliness of drones plays a moderating role in strengthening the relationship between farmers’ desires, emotions, and intentions. Surprisingly, drone complexity does not have a significant impact on leading farmers’ desires and emotions. These findings contribute to a deeper understanding of the factors influencing the adoption of digital technologies in agriculture and provide valuable insights for policymakers and stakeholders seeking to promote the integration of drones into agricultural practices.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Keywords
Digitalization, Environmental protection, Innovation, Agricultural production, Drone application
References
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Amar, J., Raabe, J. and Roggenhofer, S. (2019), Customer First: Personalizing the Customer-Care Journey, McKinsey & Company, New York.
Bagozzi, R.P. (2007), “The legacy of the technology acceptance model and a proposal for a paradigm shift”, Journal of the Association for Information Systems, Vol. 8 No. 4, pp. 244-254.
Boateng, H., Adam, D.R., Okoe, A.F. and Anning-Dorson, T. (2016), “Assessing the determinants of internet banking adoption intentions: a social cognitive theory perspective”, Computers in Human Behavior, Vol. 65, pp. 468-478.
Chen, C.F. and Tsai, D. (2007), “How destination image and evaluative factors affect behavioral intentions?”, Tourism Management, Vol. 28 No. 4, pp. 1115-1122.
Chi, N.T.K. (2024), “Agriculture innovation: the important effects of certification and technology innovation”, Journal of Agribusiness in Developing and Emerging Economies, Vol. ahead-of-print No. ahead-of-print.
Chi, N.T.K., Phong, L.T. and Hanh, N.T. (2023), “The drone delivery services: an innovative application in an emerging economy”, The Asian Journal of Shipping and Logistics, Vol. 39 No. 2, pp. 39-45.
Cox, D.F. and Rich, S.U. (1964), “Perceived risk and consumer decision-making - The case of telephone shopping”, Journal of Marketing Research, Vol. 1 No. 4, pp. 32-39.
Das, U., Ansari, M.A. and Gosh, S. (2022), “Effectiveness and upscaling potential of climate smart agriculture interventions: farmers’ participatory prioritization and livelihood indicators as its determinants”, Agricultural Systems, Vol. 203, 103515.
Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance”, MIS Quarterly, Vol. 13 No. 3, pp. 319-340.
Dutta, G. and Goswami, P. (2020), “Application of drone in agriculture: a review”, International Journal of Chemical Studies, Vol. 8 No. 5, pp. 181-187.
Ellenberg, A., Kontsos, A., Bartoli, I. and Pradhan, A. (2014), “Masonry crack detection application of an unmanned aerial vehicle”, in Issa, R. and Flood, I. (Eds.), Computing in Civil and Building Engineering, American Society of Civil Engineers, Florida, pp. 1788-1795.
Fishbein, M. and Ajzen, I. (1977), “Belief, attitude, intention, and behavior: an introduction to theory and research”, Philosophy and Rhetoric, Vol. 10 No. 2, pp. 130-132.
Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39-50.
Goodchild, A. and Toy, J. (2018), “Delivery by drone: an evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry”, Transportation Research Part D: Transport and Environment, Vol. 61, pp. 58-67.
Hair, J., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, 7th Edition, Prentice Hall, New Jersey.
Hair, Jr.J.F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V.G. (2014), “Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research”, European Business Review, Vol. 26 No. 2, pp. 106-121.
Hamdi, A., Salim, F. and Kim, D.Y. (2020), “Drotrack: high-speed drone-based object tracking under uncertainty”, in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom.
Hwang, J. and Kim, H. (2021), “The effects of expected benefits on image, desire, and behavioral intentions in the field of drone food delivery services after the outbreak of COVID-19”, Sustainability, Vol. 13 No. 1, 117.
Hwang, J., Kim, W. and Kim, J.J. (2020), “Application of the value-belief-norm model to environmentally friendly drone food delivery services: the moderating role of product involvement”, International Journal of Contemporary Hospitality Management, Vol. 32 No. 5, pp. 1775-1794.
Hwang, J., Kim, J.J. and Lee, K.W. (2021), “Investigating consumer innovativeness in the context of drone food delivery services: its impact on attitude and behavioral intentions”, Technological Forecasting and Social Change, Vol. 163, 120433.
Hwang, J., Lee, J.S. and Kim, H. (2019), “Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: the moderating role of gender and age”, International Journal of Hospitality Management, Vol. 81, pp. 94-103.
Horng, J.S., Liu, C.H., Chou, H.Y. and Tsai, C.Y. (2012), “Understanding the impact of culinary brand equity and destination familiarity on travel intentions”, Tourism Management, Vol. 33 No. 4, pp. 815-824.
Klauser, F. and Pedrozo, S. (2017), “Big data from the sky: popular perceptions of private drones in Switzerland”, Geographica Helvetica, Vol. 72 No. 2, pp. 231-239.
Lee, D. (2019), “Effects of key value co-creation elements in the healthcare system: focusing on technology applications”, Service Business, Vol. 13 No. 2, pp. 389-417.
Lee, H.L., Chen, Y., Gillai, B. and Rammohan, S. (2016), Technological Disruption and Innovation in Last-Mile Delivery. White Book, Graduate School of Stanford Business, California.
Lee, S.M. and Lee, D. (2020), ““Untact”: a new customer service strategy in the digital age”, Service Business, Vol. 14 No. 1, pp. 1-22.
Lee, S. and Olson, D. (2010), Convergenomics: Strategic Innovation in the Convergence Era, 1st Edition, Gower, Burlington.
Lee, G., Suzuki, A. and Vu, H.N. (2019), “The determinants of detecting veterinary drug residues: evidence from shrimp farmers in southern Viet Nam”, Aquaculture Economics & Management, Vol. 23 No. 2, pp. 135-157.
Leone, L., Perugini, M. and Ercolani, A.P. (1999), “A comparison of three models of attitude–behavior relationships in the studying behavior domain”, European Journal of Social Psychology, Vol. 29 No. 2‐3, pp. 161-189.
López-Nicolás, C., Molina-Castillo, F.J. and Bouwman, H. (2008), “An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models”, Information & Management, Vol. 45 No. 6, pp. 359-364.
Luppicini, R. and So, A. (2016), “A technoethical review of commercial drone use in the context of governance, ethics, and privacy”, Technology in Society, Vol. 46, pp. 109-119.
Mathew, A.O., Jha, A.N., Lingappa, A.K. and Sinha, P. (2021), “Attitude towards drone food delivery services - Role of innovativeness, perceived risk, and green image”, Journal of Open Innovation: Technology, Market, and Complexity, Vol. 7 No. 2, 144.
Miranda, V.R., Rezende, A., Rocha, T.L., Azpúrua, H., Pimenta, L.C. and Freitas, G.M. (2022), “Autonomous navigation system for a delivery drone”, Journal of Control, Automation and Electrical Systems, Vol. 33 No. 1, pp. 141-155.
Moon, J.W. and Kim, Y.G. (2001), “Extending the TAM for a world-wide-web context”, Information and Management, Vol. 38, pp. 217-230.
Nam, V.H. and Luu, H.N. (2022), “How do human resource management practices affect innovation of small-and medium-sized enterprises in a transition economy?”, Journal of Interdisciplinary Economics, Vol. 34 No. 2, pp. 228-249.
Ngoc, A.M., Hung, K.V. and Tuan, V.A. (2017), “Towards the development of quality standards for public transport service in developing countries: analysis of public transport users’ behavior”, Transportation Research Procedia, Vol. 25, pp. 4560-4579.
Osakwe, C.N., Hudik, M., Říha, D., Stros, M. and Ramayah, T. (2022), “Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: does risks matter?”, Journal of Retailing and Consumer Services, Vol. 65, 102865.
Perugini, M. and Bagozzi, R.P. (2004), “The distinction between desires and intentions”, European Journal of Social Psychology, Vol. 34 No. 1, pp. 69-84.
Pham, T.P., Chi, N.T.K., Truong, T.A. and Vu, N.H. (2023), “Inquiries into farmers’ perception of biodiversity in Vietnam: a systematic analysis”, Forum for Social Economics, 2288793.
Puri, V., Nayyar, A. and Raja, L. (2017), “Agriculture drones: a modern breakthrough in precision agriculture”, Journal of Statistics and Management Systems, Vol. 20 No. 4, pp. 507-518.
Rejeb, A., Abdollahi, A., Rejeb, K. and Treiblmaier, H. (2022), “Drones in agriculture: a review and bibliometric analysis”, Computers and Electronics in Agriculture, Vol. 198, 107017.
Ren, X. and Cheng, C. (2020), “Model of third-party risk index for unmanned aerial vehicle delivery in urban environment”, Sustainability, Vol. 12 No. 20, 8318.
Renduchintala, A., Jahan, F., Khanna, R. and Javaid, A.Y. (2019), “A comprehensive micro unmanned aerial vehicle (UAV/drone) forensic framework”, Digital Investigation, Vol. 30, pp. 52-72.
Retamal, M. (2017), “Product-service systems in Southeast Asia: business practices and factors influencing environmental sustainability”, Journal of Cleaner Production, Vol. 143, pp. 894-903.
Rigdon, E.E., Sarstedt, M. and Ringle, C.M. (2017), “On comparing results from CB-SEM and PLS-SEM: five perspectives and five recommendations”, Marketing: ZFP–Journal of Research and Management, Vol. 39 No. 3, pp. 4-16.
Rogers, E. (1983), Diffusion of Innovations, 3rd Edition, The Free Press, New York.
Rogers, E.M., Singhal, A. and Quinlan, M.M. (2019), “Diffusion of innovations”, in Stacks, D.W., Salwen, M.B. and Eichhorn, K.C. (Eds.), An Integrated Approach to Communication Theory and Research, 3rd Edition, Routledge, New York, pp. 415-434.
Rose, V. (2013), “OLR research report. Summary of Connecticut gun laws”, Connecticut General Assembly, Office of Legislative Research, Available at https://www.cga.ct.gov/2013/rpt/pdf/2013-R-0001.pdf (Accessed 02 March, 2023).
Sah, B., Gupta, R. and Bani-Hani, D. (2021), “Analysis of barriers to implement drone logistics”, International Journal of Logistics Research and Applications, Vol. 24 No. 6, pp. 531-550.
Soffronoff, J., Piscioneri, P. and Weaver, A. (2016), “Public perception of drone delivery in the United States”, Report No. RARC-WP-17-001, US Postal Service Office of Inspector General, USA.
Sun, Y. (2021), “Case based models of the relationship between consumer resistance to innovation and customer churn”, Journal of Retailing and Consumer Services, Vol. 61, 102530.
Suzuki, A., Vu, H.N. and Sonobe, T. (2014), “Willingness to pay for managerial training: a case from the knitwear industry in Northern Vietnam”, Journal of Comparative Economics, Vol. 42 No. 3, pp. 693-707.
Tan, M. and Teo, T.S. (2000), “Factors influencing the adoption of Internet banking”, Journal of the Association for Information Systems, Vol. 1 No. 1, 5.
Taylor, J.W. (1974), “The role of risk in consumer behavior: a comprehensive and operational theory of risk taking in consumer behavior”, Journal of Marketing, Vol. 38 No. 2, pp. 54-60.
Tsai, Y.T. and Tiwasing, P. (2021), “Customers’ intention to adopt smart lockers in last-mile delivery service: a multi-theory perspective”, Journal of Retailing and Consumer Services, Vol. 61, 102514.
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478.
Vijayasarathy, L.R. (2004), “Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model”, Information & Management, Vol. 41 No. 6, pp. 747-762.
Xu, J.D. (2016), “Retaining customers by utilizing technology-facilitated chat: mitigating website anxiety and task complexity”, Information & Management, Vol. 53 No. 5, pp. 554-569.
Xu, Y., Shieh, C.H., van Esch, P. and Ling, I.L. (2020), “AI customer service: task complexity, problem-solving ability, and usage intention”, Australasian Marketing Journal, Vol. 28 No. 4, pp. 189-199.
Yi, J., Yuan, G. and Yoo, C. (2020), “The effect of the perceived risk on the adoption of the sharing economy in the tourism industry: the case of Airbnb”, Information Processing & Management, Vol. 57 No. 1, 102108.
Yoo, W., Yu, E. and Jung, J. (2018), “Drone delivery: factors affecting the public’s attitude and intention to adopt”, Telematics and Informatics, Vol. 35 No. 6, pp. 1687-1700.
Zhu, D.S., O’Neal, G.S., Lee, Z.C. and Chen, Y.H. (2009), “The effect of trust and perceived risk on consumers’ online purchase intention”, 2009 International Conference on Computational Science and Engineering, Vol. 4, pp. 771-776.
Amar, J., Raabe, J. and Roggenhofer, S. (2019), Customer First: Personalizing the Customer-Care Journey, McKinsey & Company, New York.
Bagozzi, R.P. (2007), “The legacy of the technology acceptance model and a proposal for a paradigm shift”, Journal of the Association for Information Systems, Vol. 8 No. 4, pp. 244-254.
Boateng, H., Adam, D.R., Okoe, A.F. and Anning-Dorson, T. (2016), “Assessing the determinants of internet banking adoption intentions: a social cognitive theory perspective”, Computers in Human Behavior, Vol. 65, pp. 468-478.
Chen, C.F. and Tsai, D. (2007), “How destination image and evaluative factors affect behavioral intentions?”, Tourism Management, Vol. 28 No. 4, pp. 1115-1122.
Chi, N.T.K. (2024), “Agriculture innovation: the important effects of certification and technology innovation”, Journal of Agribusiness in Developing and Emerging Economies, Vol. ahead-of-print No. ahead-of-print.
Chi, N.T.K., Phong, L.T. and Hanh, N.T. (2023), “The drone delivery services: an innovative application in an emerging economy”, The Asian Journal of Shipping and Logistics, Vol. 39 No. 2, pp. 39-45.
Cox, D.F. and Rich, S.U. (1964), “Perceived risk and consumer decision-making - The case of telephone shopping”, Journal of Marketing Research, Vol. 1 No. 4, pp. 32-39.
Das, U., Ansari, M.A. and Gosh, S. (2022), “Effectiveness and upscaling potential of climate smart agriculture interventions: farmers’ participatory prioritization and livelihood indicators as its determinants”, Agricultural Systems, Vol. 203, 103515.
Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance”, MIS Quarterly, Vol. 13 No. 3, pp. 319-340.
Dutta, G. and Goswami, P. (2020), “Application of drone in agriculture: a review”, International Journal of Chemical Studies, Vol. 8 No. 5, pp. 181-187.
Ellenberg, A., Kontsos, A., Bartoli, I. and Pradhan, A. (2014), “Masonry crack detection application of an unmanned aerial vehicle”, in Issa, R. and Flood, I. (Eds.), Computing in Civil and Building Engineering, American Society of Civil Engineers, Florida, pp. 1788-1795.
Fishbein, M. and Ajzen, I. (1977), “Belief, attitude, intention, and behavior: an introduction to theory and research”, Philosophy and Rhetoric, Vol. 10 No. 2, pp. 130-132.
Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39-50.
Goodchild, A. and Toy, J. (2018), “Delivery by drone: an evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry”, Transportation Research Part D: Transport and Environment, Vol. 61, pp. 58-67.
Hair, J., Black, W.C., Babin, B.J. and Anderson, R.E. (2010), Multivariate Data Analysis, 7th Edition, Prentice Hall, New Jersey.
Hair, Jr.J.F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V.G. (2014), “Partial least squares structural equation modeling (PLS-SEM): an emerging tool in business research”, European Business Review, Vol. 26 No. 2, pp. 106-121.
Hamdi, A., Salim, F. and Kim, D.Y. (2020), “Drotrack: high-speed drone-based object tracking under uncertainty”, in 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, United Kingdom.
Hwang, J. and Kim, H. (2021), “The effects of expected benefits on image, desire, and behavioral intentions in the field of drone food delivery services after the outbreak of COVID-19”, Sustainability, Vol. 13 No. 1, 117.
Hwang, J., Kim, W. and Kim, J.J. (2020), “Application of the value-belief-norm model to environmentally friendly drone food delivery services: the moderating role of product involvement”, International Journal of Contemporary Hospitality Management, Vol. 32 No. 5, pp. 1775-1794.
Hwang, J., Kim, J.J. and Lee, K.W. (2021), “Investigating consumer innovativeness in the context of drone food delivery services: its impact on attitude and behavioral intentions”, Technological Forecasting and Social Change, Vol. 163, 120433.
Hwang, J., Lee, J.S. and Kim, H. (2019), “Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: the moderating role of gender and age”, International Journal of Hospitality Management, Vol. 81, pp. 94-103.
Horng, J.S., Liu, C.H., Chou, H.Y. and Tsai, C.Y. (2012), “Understanding the impact of culinary brand equity and destination familiarity on travel intentions”, Tourism Management, Vol. 33 No. 4, pp. 815-824.
Klauser, F. and Pedrozo, S. (2017), “Big data from the sky: popular perceptions of private drones in Switzerland”, Geographica Helvetica, Vol. 72 No. 2, pp. 231-239.
Lee, D. (2019), “Effects of key value co-creation elements in the healthcare system: focusing on technology applications”, Service Business, Vol. 13 No. 2, pp. 389-417.
Lee, H.L., Chen, Y., Gillai, B. and Rammohan, S. (2016), Technological Disruption and Innovation in Last-Mile Delivery. White Book, Graduate School of Stanford Business, California.
Lee, S.M. and Lee, D. (2020), ““Untact”: a new customer service strategy in the digital age”, Service Business, Vol. 14 No. 1, pp. 1-22.
Lee, S. and Olson, D. (2010), Convergenomics: Strategic Innovation in the Convergence Era, 1st Edition, Gower, Burlington.
Lee, G., Suzuki, A. and Vu, H.N. (2019), “The determinants of detecting veterinary drug residues: evidence from shrimp farmers in southern Viet Nam”, Aquaculture Economics & Management, Vol. 23 No. 2, pp. 135-157.
Leone, L., Perugini, M. and Ercolani, A.P. (1999), “A comparison of three models of attitude–behavior relationships in the studying behavior domain”, European Journal of Social Psychology, Vol. 29 No. 2‐3, pp. 161-189.
López-Nicolás, C., Molina-Castillo, F.J. and Bouwman, H. (2008), “An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory models”, Information & Management, Vol. 45 No. 6, pp. 359-364.
Luppicini, R. and So, A. (2016), “A technoethical review of commercial drone use in the context of governance, ethics, and privacy”, Technology in Society, Vol. 46, pp. 109-119.
Mathew, A.O., Jha, A.N., Lingappa, A.K. and Sinha, P. (2021), “Attitude towards drone food delivery services - Role of innovativeness, perceived risk, and green image”, Journal of Open Innovation: Technology, Market, and Complexity, Vol. 7 No. 2, 144.
Miranda, V.R., Rezende, A., Rocha, T.L., Azpúrua, H., Pimenta, L.C. and Freitas, G.M. (2022), “Autonomous navigation system for a delivery drone”, Journal of Control, Automation and Electrical Systems, Vol. 33 No. 1, pp. 141-155.
Moon, J.W. and Kim, Y.G. (2001), “Extending the TAM for a world-wide-web context”, Information and Management, Vol. 38, pp. 217-230.
Nam, V.H. and Luu, H.N. (2022), “How do human resource management practices affect innovation of small-and medium-sized enterprises in a transition economy?”, Journal of Interdisciplinary Economics, Vol. 34 No. 2, pp. 228-249.
Ngoc, A.M., Hung, K.V. and Tuan, V.A. (2017), “Towards the development of quality standards for public transport service in developing countries: analysis of public transport users’ behavior”, Transportation Research Procedia, Vol. 25, pp. 4560-4579.
Osakwe, C.N., Hudik, M., Říha, D., Stros, M. and Ramayah, T. (2022), “Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: does risks matter?”, Journal of Retailing and Consumer Services, Vol. 65, 102865.
Perugini, M. and Bagozzi, R.P. (2004), “The distinction between desires and intentions”, European Journal of Social Psychology, Vol. 34 No. 1, pp. 69-84.
Pham, T.P., Chi, N.T.K., Truong, T.A. and Vu, N.H. (2023), “Inquiries into farmers’ perception of biodiversity in Vietnam: a systematic analysis”, Forum for Social Economics, 2288793.
Puri, V., Nayyar, A. and Raja, L. (2017), “Agriculture drones: a modern breakthrough in precision agriculture”, Journal of Statistics and Management Systems, Vol. 20 No. 4, pp. 507-518.
Rejeb, A., Abdollahi, A., Rejeb, K. and Treiblmaier, H. (2022), “Drones in agriculture: a review and bibliometric analysis”, Computers and Electronics in Agriculture, Vol. 198, 107017.
Ren, X. and Cheng, C. (2020), “Model of third-party risk index for unmanned aerial vehicle delivery in urban environment”, Sustainability, Vol. 12 No. 20, 8318.
Renduchintala, A., Jahan, F., Khanna, R. and Javaid, A.Y. (2019), “A comprehensive micro unmanned aerial vehicle (UAV/drone) forensic framework”, Digital Investigation, Vol. 30, pp. 52-72.
Retamal, M. (2017), “Product-service systems in Southeast Asia: business practices and factors influencing environmental sustainability”, Journal of Cleaner Production, Vol. 143, pp. 894-903.
Rigdon, E.E., Sarstedt, M. and Ringle, C.M. (2017), “On comparing results from CB-SEM and PLS-SEM: five perspectives and five recommendations”, Marketing: ZFP–Journal of Research and Management, Vol. 39 No. 3, pp. 4-16.
Rogers, E. (1983), Diffusion of Innovations, 3rd Edition, The Free Press, New York.
Rogers, E.M., Singhal, A. and Quinlan, M.M. (2019), “Diffusion of innovations”, in Stacks, D.W., Salwen, M.B. and Eichhorn, K.C. (Eds.), An Integrated Approach to Communication Theory and Research, 3rd Edition, Routledge, New York, pp. 415-434.
Rose, V. (2013), “OLR research report. Summary of Connecticut gun laws”, Connecticut General Assembly, Office of Legislative Research, Available at https://www.cga.ct.gov/2013/rpt/pdf/2013-R-0001.pdf (Accessed 02 March, 2023).
Sah, B., Gupta, R. and Bani-Hani, D. (2021), “Analysis of barriers to implement drone logistics”, International Journal of Logistics Research and Applications, Vol. 24 No. 6, pp. 531-550.
Soffronoff, J., Piscioneri, P. and Weaver, A. (2016), “Public perception of drone delivery in the United States”, Report No. RARC-WP-17-001, US Postal Service Office of Inspector General, USA.
Sun, Y. (2021), “Case based models of the relationship between consumer resistance to innovation and customer churn”, Journal of Retailing and Consumer Services, Vol. 61, 102530.
Suzuki, A., Vu, H.N. and Sonobe, T. (2014), “Willingness to pay for managerial training: a case from the knitwear industry in Northern Vietnam”, Journal of Comparative Economics, Vol. 42 No. 3, pp. 693-707.
Tan, M. and Teo, T.S. (2000), “Factors influencing the adoption of Internet banking”, Journal of the Association for Information Systems, Vol. 1 No. 1, 5.
Taylor, J.W. (1974), “The role of risk in consumer behavior: a comprehensive and operational theory of risk taking in consumer behavior”, Journal of Marketing, Vol. 38 No. 2, pp. 54-60.
Tsai, Y.T. and Tiwasing, P. (2021), “Customers’ intention to adopt smart lockers in last-mile delivery service: a multi-theory perspective”, Journal of Retailing and Consumer Services, Vol. 61, 102514.
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), “User acceptance of information technology: toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478.
Vijayasarathy, L.R. (2004), “Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model”, Information & Management, Vol. 41 No. 6, pp. 747-762.
Xu, J.D. (2016), “Retaining customers by utilizing technology-facilitated chat: mitigating website anxiety and task complexity”, Information & Management, Vol. 53 No. 5, pp. 554-569.
Xu, Y., Shieh, C.H., van Esch, P. and Ling, I.L. (2020), “AI customer service: task complexity, problem-solving ability, and usage intention”, Australasian Marketing Journal, Vol. 28 No. 4, pp. 189-199.
Yi, J., Yuan, G. and Yoo, C. (2020), “The effect of the perceived risk on the adoption of the sharing economy in the tourism industry: the case of Airbnb”, Information Processing & Management, Vol. 57 No. 1, 102108.
Yoo, W., Yu, E. and Jung, J. (2018), “Drone delivery: factors affecting the public’s attitude and intention to adopt”, Telematics and Informatics, Vol. 35 No. 6, pp. 1687-1700.
Zhu, D.S., O’Neal, G.S., Lee, Z.C. and Chen, Y.H. (2009), “The effect of trust and perceived risk on consumers’ online purchase intention”, 2009 International Conference on Computational Science and Engineering, Vol. 4, pp. 771-776.