Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

Authors

DOI:

https://doi.org/10.24136/oc.2021.034

Keywords:

mobile shopping app, mobile commerce platform, mobile payment service, Internet-enabled consumer device, consumer technological adoption, '

Abstract

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services.

Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences.

Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool.

Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.

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References

Anshari, M., Arine, M. A., Nurhidayah, N., Aziyah, H., & Salleh, M. H. A. (2021). Factors influencing individual in adopting eWallet. Journal of Financial Services Marketing, 26, 10?23. doi: 10.1057/s41264-020-00079-5.

DOI: https://doi.org/10.1057/s41264-020-00079-5
View in Google Scholar

Bailey, A. A., Pentina, I., Mishra, A. S., & Mimoun, M. S. B. (2020). Exploring factors influencing US millennial consumers? use of tap-and-go payment technology. International Review of Retail, Distribution and Consumer Research, 30, 143?163. doi: 10.1080/09593969.2019.1667854.

DOI: https://doi.org/10.1080/09593969.2019.1667854
View in Google Scholar

Barbu, C. M., Florea, D. L., Dabija, D. C., & Barbu, M. C. R. (2021). Customer experience in fintech. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1415?1433. doi: 10.3390/jtaer16050080.

DOI: https://doi.org/10.3390/jtaer16050080
View in Google Scholar

Bekken, G. (2019). The algorithmic governance of data driven-processing employment: evidence-based management practices, artificial intelligence recruiting software, and automated hiring decisions. Psychosociological Issues in Human Resource Management, 7(2), 25?30. doi: 10.22381/PIHRM7220194.

DOI: https://doi.org/10.22381/PIHRM7220194
View in Google Scholar

Bhattacharya, S., & Anand, V. (2019). What makes the Indian youths to engage with online retail brands: An empirical study. Global Business Review. Advance online publication. doi: 10.1177/0972150918822106.

DOI: https://doi.org/10.1177/0972150918822106
View in Google Scholar

Boardman, R., & McCormick, H. (2018). Shopping channel preference and usage motivations: exploring differences amongst a 50-year age span. Journal of Fashion Marketing and Management, 22, 270?284. doi: 10.1108/JFMM-04-2017-0036.

DOI: https://doi.org/10.1108/JFMM-04-2017-0036
View in Google Scholar

Brown, M. (2021). Artificial intelligence data-driven Internet of Things systems, real-time process monitoring, and sustainable industrial value creation in smart networked factories. Journal of Self-Governance and Management Economics, 9(2), 21?31. doi: 10.22381/jsme9220212.

DOI: https://doi.org/10.22381/jsme9220212
View in Google Scholar

Brusch, I., & Rappel, N. (2020). Exploring the acceptance of instant shopping ? an empirical analysis of the determinants of user intention. Journal of Retailing and Consumer Services, 54, 101936. doi: 10.1016/j.jretconser.2019.101936.

DOI: https://doi.org/10.1016/j.jretconser.2019.101936
View in Google Scholar

Camoiras-Rodriguez, Z., & Varela, C. (2020). The influence of consumer personality traits on mobile shopping intention. Spanish Journal of Marketing ? ESIC, 24, 331?353. doi: 10.1108/SJME-02-2020-0029.

DOI: https://doi.org/10.1108/SJME-02-2020-0029
View in Google Scholar

Campbell, E., Novak, A., & Novak Sedlackova, A. (2021). Algorithm-driven sensing devices and connected vehicle data in smart transportation networks. Contemporary Readings in Law and Social Justice, 13(1), 91?100. doi: 10.223 81/CRLSJ13120219.

DOI: https://doi.org/10.22381/CRLSJ13120219
View in Google Scholar

Chen, H.-J. (2018). What drives consumers? mobile shopping? 4Ps or shopping preferences? Asia Pacific Journal of Marketing and Logistics, 30, 797?815. doi: 10.1108/APJML-08-2017-0167.

DOI: https://doi.org/10.1108/APJML-08-2017-0167
View in Google Scholar

Cheong, H. J., Mohammed-Baksh, S., & Wright, L. T. (2019). U.S. consumer m-commerce involvement: using in-depth interviews to propose an acceptance model of shopping apps-based m-commerce. Cogent Business & Management, 6, 1. doi: 10.1080/23311975.2019.1674077.

DOI: https://doi.org/10.1080/23311975.2019.1674077
View in Google Scholar

Chi, V. T. M., Paramita, W., & Quan, T. H. M. (2021). Does customer experience always benefit company? Examining customers? epistemic motivation and interaction with service contexts. Australasian Marketing Journal. Advance online publication. doi: 10.1177/1839334921998867.

DOI: https://doi.org/10.1177/1839334921998867
View in Google Scholar

Cho, E., & Son, J. (2019). The effect of social connectedness on consumer adoption of social commerce in apparel shopping. Fashion and Textiles, 6, 14. doi: 10.1186/s40691-019-0171-7.

DOI: https://doi.org/10.1186/s40691-019-0171-7
View in Google Scholar

Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: a cross-country perspective utilizing the unified theory of acceptance and use of technology. Computers in Human Behavior, 86, 109?128. doi: 10.1016/j.chb.2018.04.017.

DOI: https://doi.org/10.1016/j.chb.2018.04.017
View in Google Scholar

Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: the role of espoused cultural values and perceived risk. Behaviour & Information Technology, 38, 42?64. doi: 10.1080/ 0144929X.2018.1513563.

DOI: https://doi.org/10.1080/0144929X.2018.1513563
View in Google Scholar

Chopdar, P. K., & Balakrishnan, J. (2020). Consumers response towards mobile commerce applications: S-O-R approach. International Journal of Information Management, 53, 102106. doi: 10.1016/j.ijinfomgt.2020.102106.

DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102106
View in Google Scholar

Cooper, H., Poliak, M., & Konecny, V. (2021). Computationally networked urbanism and data-driven planning technologies in smart and environmentally sustainable cities. Geopolitics, History, and International Relations, 13(1), 20?30. doi: 10.22381/GHIR13120212.

DOI: https://doi.org/10.22381/GHIR13120212
View in Google Scholar

Dabija, D. C., & Lung, L. (2019). Millennials versus Gen Z: online shopping behaviour in an emerging market. In S. A. Văduva, I. S. Fotea, L. P. Văduva, & R. Wilt (Eds.). Applied ethics for entrepreneurial success: recommendations for the developing world. 2018 Griffiths School of Management Annual Conference on Business, Entrepreneurship and Ethics (GMSAC). Cham: Springer International. 1?18. doi: https://doi.org/10.1007/978-3-030-17215-2_1.

DOI: https://doi.org/10.1007/978-3-030-17215-2_1
View in Google Scholar

Dahabiyeh, L., Najjar, M. S., & Agrawal, D. (2020). The effect of risk levels on technology adoption decision: the case of online games. Information Technology & People, 33, 1445?1464. doi: 10.1108/ITP-09-2019-0455.

DOI: https://doi.org/10.1108/ITP-09-2019-0455
View in Google Scholar

Dasgupta, S., & Gupta, B. (2019). Espoused organizational culture values as antecedents of internet technology adoption in an emerging economy. Information & Management, 56, 103142. doi: 10.1016/j.im.2019.01.004.

DOI: https://doi.org/10.1016/j.im.2019.01.004
View in Google Scholar

Davies, S. (2020). Interconnected sensor networks and decision-making self-driving car control algorithms in smart sustainable urbanism. Contemporary Readings in Law and Social Justice, 12(2), 88?96. doi: 10.22381/CRLSJ12220 2010.

DOI: https://doi.org/10.22381/CRLSJ122202010
View in Google Scholar

Dewi, C. K., Mohaidin, Z., & Murshid, M. A. (2020). Determinants of online purchase intention: a PLS-SEM approach: evidence from Indonesia. Journal of Asia Business Studies, 14, 281?306. doi: 10.1108/JABS-03-2019-0086.

DOI: https://doi.org/10.1108/JABS-03-2019-0086
View in Google Scholar

Dhiman, N., Arora, N., Dogra, N., & Gupta, A. (2020). Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research, 12, 363?388. doi: 10.1108/JIBR-05-2018-0158.

DOI: https://doi.org/10.1108/JIBR-05-2018-0158
View in Google Scholar

Eskridge, M. (2019). Falling in love with algorithmic compatibility in a digital dating landscape: sexually affective data, networked intimacy, and online gendered identity constructions. Journal of Research in Gender Studies, 9(2), 92?98. doi: 10.22381/JRGS92201910.

DOI: https://doi.org/10.22381/JRGS92201910
View in Google Scholar

Fazal-e-Hasan, S. M., Amrollahi, A., Mortimer, G., Adapa, S., & Balaji, M. S. (2021). A multi-method approach to examining consumer intentions to use smart retail technology. Computers in Human Behavior, 117, 106622. doi: 10.1016/j.chb.2020.106622.

DOI: https://doi.org/10.1016/j.chb.2020.106622
View in Google Scholar

Geamănu, M. (2011a). Determination of economic efficiency in terms of risk an uncertainly. Analele Universităţii Tibiscus, Seria Stiinţe Economice, 17, 1085?1089.
View in Google Scholar

Geamănu, M. (2011b). Economic efficiency and profitability. Studia Universitatis ?Vasile Goldiş? Arad. Economics Series, 21(2), 116?119.
View in Google Scholar

Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30, 1064?1086. doi: 10.1108/APJML-05-2017-0093

DOI: https://doi.org/10.1108/APJML-05-2017-0093
View in Google Scholar

Gibson, P. (2021). Internet of Things sensing infrastructures and urban big data analytics in smart sustainable city governance and management. Geopolitics, History, and International Relations, 13(1), 42?52. doi: 10.22381/GHIR13120 214.

DOI: https://doi.org/10.22381/GHIR13120214
View in Google Scholar

Ginevicius, R., Kliestik, T., Stasiukynas, A., & Suhajda, K. (2020). The impact of national economic development on the shadow economy. Journal of Competitiveness, 12(3), 39?55. doi: 10.7441/joc.2020.04.03.

DOI: https://doi.org/10.7441/joc.2020.04.03
View in Google Scholar

Gong, X., Liu, Z., Zheng, X., & Wu, T. (2018). Why are experienced users of WeChat likely to continue using the app? Asia Pacific Journal of Marketing and Logistics, 30, 1013?1039. doi: 10.1108/APJML-10-2017-0246.

DOI: https://doi.org/10.1108/APJML-10-2017-0246
View in Google Scholar

Graf-Vlachy, L., Buhtz, K., & König, A. (2018). Social influence in technology adoption: taking stock and moving forward. Management Review Quarterly, 68, 37?76. doi: 10.1007/s11301-017-0133-3.

DOI: https://doi.org/10.1007/s11301-017-0133-3
View in Google Scholar

Grant, E. (2021). Big data-driven innovation, deep learning-assisted smart process planning, and product decision-making information systems in sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(1), 9?19. doi: 10.22381/emfm16120211.

DOI: https://doi.org/10.22381/emfm16120211
View in Google Scholar

Gray-Hawkins, M., & Lăzăroiu, G. (2020). Industrial artificial intelligence, sustainable product lifecycle management, and Internet of Things sensing networks in cyber-physical smart manufacturing systems. Journal of Self-Governance and Management Economics, 8(4), 19?28. doi: 10.22381/JSM E8420202.

DOI: https://doi.org/10.22381/JSME8420202
View in Google Scholar

Groß, M. (2018). Mobile shopping loyalty: the salient moderating role of normative and functional compatibility beliefs. Technology in Society, 55, 146?159. doi: 10.1016/j.techsoc.2018.07.005.

DOI: https://doi.org/10.1016/j.techsoc.2018.07.005
View in Google Scholar

Groß, M., & Sohn, S. (2021). Understanding the consumer acceptance of mobile shopping: the role of consumer shopping orientations and mobile shopping touchpoints. International Review of Retail, Distribution and Consumer Research, 31, 36?58. doi: 10.1080/09593969.2020.1852096.

DOI: https://doi.org/10.1080/09593969.2020.1852096
View in Google Scholar

Ho, R. C., & Rezaei, S. (2018). Social media communication and consumers decisions: analysis of the antecedents for intended apps purchase. Journal of Relationship Marketing, 17, 204?228. doi: 10.1080/15332667.2018.1492322.

DOI: https://doi.org/10.1080/15332667.2018.1492322
View in Google Scholar

Johnson, A. (2020). Medical wearables and biosensor technologies as tools of Internet of Things-based health monitoring systems. American Journal of Medical Research, 7(1), 7?13. doi: 10.22381/AJMR7120201.

DOI: https://doi.org/10.22381/AJMR7120201
View in Google Scholar

Jung, J.-H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers? motivations and intentions. Computers in Human Behavior Reports, 1, 100008. doi: 10.1016/j.chbr.2020.100008.

DOI: https://doi.org/10.1016/j.chbr.2020.100008
View in Google Scholar

Kalinić, Z., Liébana-Cabanillas, F. J., Mu?oz-Leiva, F., & Marinković, V. (2020). The moderating impact of gender on the acceptance of peer-to-peer mobile payment systems. International Journal of Bank Marketing, 38, 138?158. doi: 10.1108/IJBM-01-2019-0012.

DOI: https://doi.org/10.1108/IJBM-01-2019-0012
View in Google Scholar

Kang, J.-W., & Namkung, Y. (2019). The information quality and source credibility matter in customers? evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189?198. doi: 10.1016/j. ijhm.2018.10.011.

DOI: https://doi.org/10.1016/j.ijhm.2018.10.011
View in Google Scholar

Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020). An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55, 102059. doi: 10.1016/j.jretconser.2020.102059.

DOI: https://doi.org/10.1016/j.jretconser.2020.102059
View in Google Scholar

Kim, J. J., Kim, I., & Hwang, J. (2021). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International Journal of Hospitality Management, 93, 102758. doi: 10.1016 /j.ijhm.2020.102758.

DOI: https://doi.org/10.1016/j.ijhm.2020.102758
View in Google Scholar

Kliestik, T., Belas, J., Valaskova, K., Nica, E., & Durana, P. (2021). Earnings management in V4 countries: the evidence of earnings smoothing and inflating. Economic Research-Ekonomska Istraživanja, 34(1), 1452?1470. doi: 10.1080/ 1331677X.2020.1831944.

DOI: https://doi.org/10.1080/1331677X.2020.1831944
View in Google Scholar

Konecny, V., Barnett, C., & Poliak, M. (2021). Sensing and computing technologies, intelligent vehicular networks, and big data-driven algorithmic decision-making in smart sustainable urbanism. Contemporary Readings in Law and Social Justice, 13(1), 30?39. doi: 10.22381/CRLSJ13120213.

DOI: https://doi.org/10.22381/CRLSJ13120213
View in Google Scholar

Kovacova, M., & Lewis, E. (2021). Smart factory performance, cognitive automation, and industrial big data analytics in sustainable manufacturing Internet of Things. Journal of Self-Governance and Management Economics, 9(3), 9?21. doi: 10.22381/jsme9320211.

DOI: https://doi.org/10.22381/jsme9320211
View in Google Scholar

Kovacova, M., & Lăzăroiu, G. (2021). Sustainable organizational performance, cyber-physical production networks, and deep learning-assisted smart process planning in Industry 4.0-based manufacturing systems. Economics, Management, and Financial Markets, 16(3), 41?54. doi: 10.22381/emfm16320 212.
View in Google Scholar

Lăzăroiu, G., Machová, V., & Kucera, J. (2020). Connected and autonomous vehicle mobility: socially disruptive technologies, networked transport systems, and big data algorithmic analytics. Contemporary Readings in Law and Social Justice, 12(2), 61?69. doi: 10.22381/CRLSJ12220207.

DOI: https://doi.org/10.22381/CRLSJ12220207
View in Google Scholar

Lăzăroiu, G., & Harrison, A. (2021). Internet of Things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management. Geopolitics, History, and International Relations, 13(2), 23?36. doi: 10.22381/GHIR13220212.

DOI: https://doi.org/10.22381/GHIR13220212
View in Google Scholar

Lăzăroiu, G., Kliestik, T., & Novak, A. (2021). Internet of Things smart devices, industrial artificial intelligence, and real-time sensor networks in sustainable cyber-physical production systems. Journal of Self-Governance and Management Economics, 9(1), 20?30. doi: 10.22381/jsme9120212.

DOI: https://doi.org/10.22381/jsme9120212
View in Google Scholar

Lewis, S. (2020). Wearable Internet of Things healthcare systems: smart biomedical sensors, wireless connected devices, and real-time patient monitoring. American Journal of Medical Research, 7(1), 55?60. doi: 10.22381 /AJMR7120208.

DOI: https://doi.org/10.22381/AJMR7120208
View in Google Scholar

Lewis, E. (2021). Smart city software systems and Internet of Things sensors in sustainable urban governance networks. Geopolitics, History, and International Relations, 13(1), 9?19. doi: 10.22381/GHIR13120211.

DOI: https://doi.org/10.22381/GHIR13120211
View in Google Scholar

Li, C.-Y., & Ku, Y.-C. (2018). The power of a thumbs-up: will e-commerce switch to social commerce? Information & Management, 55, 340?357. doi: 10.1016/j.i m.2017.09.001.

DOI: https://doi.org/10.1016/j.im.2017.09.001
View in Google Scholar

Li, C.-Y. (2019). How social commerce constructs influence customers? social shopping intention? An empirical study of a social commerce website. Technological Forecasting and Social Change, 144, 282?294. doi: 10.1016/j.t echfore.2017.11.026.

DOI: https://doi.org/10.1016/j.techfore.2017.11.026
View in Google Scholar

Liébana-Cabanillas, F., Japutra, A., Molinillo, S., Singh, N., & Sinha, N. (2020). Assessment of mobile technology use in the emerging market: analyzing intention to use m-payment services in India. Telecommunications Policy, 44, 102009. doi: 10.1016/j.telpol.2020.102009.

DOI: https://doi.org/10.1016/j.telpol.2020.102009
View in Google Scholar

Liu, Y., Li, Q., Edu, T., Jozsa, L., & Negricea, I. C. (2020). Mobile shopping platform characteristics as consumer behavior determinants. Asia Pacific Journal of Marketing and Logistics, 32, 1565?1587. doi: 10.1108/APJML-05-2019-0308.

DOI: https://doi.org/10.1108/APJML-05-2019-0308
View in Google Scholar

Loh, X.-M., Lee, V.-H., Tan, G. W.-H., Ooi, K.-B., & Dwivedi, Y. K. (2021). Switching from cash to mobile payment: what?s the hold-up? Internet Research, 31, 376?399. doi: 10.1108/INTR-04-2020-0175.

DOI: https://doi.org/10.1108/INTR-04-2020-0175
View in Google Scholar

Lyons, N., & Lăzăroiu, G. (2020). Addressing the COVID-19 crisis by harnessing Internet of Things sensors and machine learning algorithms in data-driven smart sustainable cities. Geopolitics, History, and International Relations, 12(2), 65?71. doi: 10.22381/GHIR12220209.

DOI: https://doi.org/10.22381/GHIR12220209
View in Google Scholar

Madan, K., & Yadav, R. (2018). Understanding and predicting antecedents of mobile shopping adoption: a developing country perspective. Asia Pacific Journal of Marketing and Logistics, 30, 139?162. doi: 10.1108/APJML-02-2017-0023.

DOI: https://doi.org/10.1108/APJML-02-2017-0023
View in Google Scholar

Mamun, A. A., Nawi, N. B. C., Nasir, N. A. B. M., & Fazal, S. A. (2020). Social media and consumer engagement: the case of Malaysian student entrepreneurs. Journal of Asia-Pacific Business, 21, 185?206. doi: 10.1080/10599231.2020.1 783972

DOI: https://doi.org/10.1080/10599231.2020.1783972
View in Google Scholar

Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for mobile shopping: a theoretical framework and empirical study. Journal of Retailing and Consumer Services, 42, 133?146. doi: 10.1016/j.jretc onser.2018.01.017.

DOI: https://doi.org/10.1016/j.jretconser.2018.01.017
View in Google Scholar

McLean, G. (2018). Examining the determinants and outcomes of mobile app engagement ? a longitudinal perspective. Computers in Human Behavior, 84, 392?403. doi: 10.1016/j.chb.2018.03.015.

DOI: https://doi.org/10.1016/j.chb.2018.03.015
View in Google Scholar

McLean, G., Osei-Frimpong, K., Al-Nabhani, K., & Marriott, H. (2020). Examining consumer attitudes towards retailers? m-commerce mobile applications ? an initial adoption vs. continuous use perspective. Journal of Business Research, 106, 139?157. doi: 10.1016/j.jbusres.2019.08.032.

DOI: https://doi.org/10.1016/j.jbusres.2019.08.032
View in Google Scholar

Nel, J., & Boshoff, C. (2019). Online customers? habit-inertia nexus as a conditional effect of mobile-service experience: a moderated-mediation and moderated serial-mediation investigation of mobile-service use resistance. Journal of Retailing and Consumer Services, 47, 282?292. doi: 10.1016/j.jretco nser.2018.12.003.

DOI: https://doi.org/10.1016/j.jretconser.2018.12.003
View in Google Scholar

Nel, J., & Boshoff, C. (2020). Status quo bias and shoppers? mobile website purchasing resistance. European Journal of Marketing, 54, 1433?1466. doi: 10.1108/EJM-02-2018-0144.

DOI: https://doi.org/10.1108/EJM-02-2018-0144
View in Google Scholar

Nica, E., Miklencicova, R., & Kicova, E. (2019). Artificial intelligence-supported workplace decisions: big data algorithmic analytics, sensory and tracking technologies, and metabolism monitors. Psychosociological Issues in Human Resource Management, 7(2), 31?36. doi: 10.22381/PIHRM7220195.

DOI: https://doi.org/10.22381/PIHRM7220195
View in Google Scholar

Nica, E., Stan, C. I., Lu?an (Petre), A. G., & Oa?a (Geambazi), R.-?. (2021). Internet of Things-based real-time production logistics, sustainable industrial value creation, and artificial intelligence-driven big data analytics in cyber-physical smart manufacturing systems. Economics, Management, and Financial Markets, 16(1), 52?62. doi: 10.22381/emfm16120215.

DOI: https://doi.org/10.22381/emfm16120215
View in Google Scholar

Nica, E., & Stehel, V. (2021). Internet of Things sensing networks, artificial intelligence-based decision-making algorithms, and real-time process monitoring in sustainable Industry 4.0. Journal of Self-Governance and Management Economics, 9(3), 35?47. doi: 10.22381/jsme9320213.

DOI: https://doi.org/10.22381/jsme9320213
View in Google Scholar

Nica, E. (2021). Urban big data analytics and sustainable governance networks in integrated smart city planning and management. Geopolitics, History, and International Relations, 13(2), 93?106. doi: 10.22381/GHIR13220217.

DOI: https://doi.org/10.22381/GHIR13220217
View in Google Scholar

Novak, A., Bennett, D., & Kliestik, T. (2021). Product decision-making information systems, real-time sensor networks, and artificial intelligence-driven big data analytics in sustainable Industry 4.0. Economics, Management, and Financial Markets, 16(2), 62?72. doi: 10.22381/emfm16220213.

DOI: https://doi.org/10.22381/emfm16220213
View in Google Scholar

Pandey, S., & Chawla, D. (2019). Engaging m-commerce adopters in India: exploring the two ends of the adoption continuum across four m-commerce categories. Journal of Enterprise Information Management, 32, 191?210. doi: 10.1108/JEIM-06-2018-0109.

DOI: https://doi.org/10.1108/JEIM-06-2018-0109
View in Google Scholar

Pantano, E., & Vannucci, V. (2019). Who is innovating? An exploratory research of digital technologies diffusion in retail industry. Journal of Retailing and Consumer Services, 49, 297?304. doi: 10.1016/j.jretconser.2019.01.019.

DOI: https://doi.org/10.1016/j.jretconser.2019.01.019
View in Google Scholar

Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47, 140?149. doi: 10.1016/j.jretconser.2018 .11.015.

DOI: https://doi.org/10.1016/j.jretconser.2018.11.015
View in Google Scholar

Patel, V., Das, K., Chatterjee, R., & Shukla, Y. (2020). Does the interface quality of mobile shopping apps affect purchase intention? An empirical study. Australasian Marketing Journal (AMJ), 28, 300?309. doi: 10.1016/j.ausmj.202 0.08.004.

DOI: https://doi.org/10.1016/j.ausmj.2020.08.004
View in Google Scholar

Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144. doi: 10.1016/j.i jinfomgt.2020.102144.

DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102144
View in Google Scholar

Phong, N. D., Khoi, N. H., & Nhat-Hanh Le, A. (2018). Factors affecting mobile shopping: a Vietnamese perspective. Journal of Asian Business and Economic Studies, 25, 186?205. doi: 10.1108/JABES-05-2018-0012.

DOI: https://doi.org/10.1108/JABES-05-2018-0012
View in Google Scholar

Robinson, R. (2020). Connected and autonomous transport systems: deep learning-based sensing technologies, data-driven mobilities, and intelligent vehicular networks. Contemporary Readings in Law and Social Justice, 12(2), 52?60. doi: 10.22381/CRLSJ12220206.

DOI: https://doi.org/10.22381/CRLSJ12220206
View in Google Scholar

Rodríguez-Torrico, P., San-Martín, S., & San José Cabezudo, R. (2020). The role of omnichannel tendency in digital information processing. Online Information Review, 44, 1347?1367. doi: 10.1108/OIR-08-2019-0272.

DOI: https://doi.org/10.1108/OIR-08-2019-0272
View in Google Scholar

Roy, S. K., Balaji, M. S., & Nguyen, B. (2020). Consumer-computer interaction and in-store smart technology (IST) in the retail industry: the role of motivation, opportunity, and ability. Journal of Marketing Management, 36, 299?333. doi: 10.1080/0267257X.2020.1736130.

DOI: https://doi.org/10.1080/0267257X.2020.1736130
View in Google Scholar

Sabir, S. S. (2020). Does product design stimulate customer satisfaction? Mediating role of affect. Asia Pacific Journal of Marketing and Logistics, 32, 1255?1268. doi: 10.1108/APJML-03-2019-0216.

DOI: https://doi.org/10.1108/APJML-03-2019-0216
View in Google Scholar

Saha, S. K., Duarte, P., Silva, S. C., & Zhuang, G. (2021). Supporting sustainability by promoting online purchase through enhancement of online convenience. Environment, Development and Sustainability, 23, 7251?7272. doi: 10.1007/s10668-020-00915-7.

DOI: https://doi.org/10.1007/s10668-020-00915-7
View in Google Scholar

Sarkar, S., Khare, A., & Sadachar, A. (2020). Influence of consumer decision-making styles on use of mobile shopping applications. Benchmarking: An International Journal, 27, 1?20. doi: 10.1108/BIJ-07-2018-0208.

DOI: https://doi.org/10.1108/BIJ-07-2018-0208
View in Google Scholar

Seeger, M. K., Kemper, J., & Brettel, M. (2019). How information processing and mobile channel choice influence product returns: an empirical analysis. Psychology and Marketing, 36, 198?213. doi: 10.1002/mar.21170.

DOI: https://doi.org/10.1002/mar.21170
View in Google Scholar

Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45, 52?63. doi: 10.1016/j.jretcons er.2018.08.008.

DOI: https://doi.org/10.1016/j.jretconser.2018.08.008
View in Google Scholar

Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191?205. doi: 10.1016/j.ijinfomgt.20 19.05.022.

DOI: https://doi.org/10.1016/j.ijinfomgt.2019.05.022
View in Google Scholar

Sion, G. (2019). Commodifying intimate relationships through geosocial networking mobile apps: data-driven dating, sexual sociality, and online body objectification. Journal of Research in Gender Studies, 9(2), 78?84. doi: 10.22 381/JRGS9220198.

DOI: https://doi.org/10.22381/JRGS9220198
View in Google Scholar

Siyal, A. W., Hongzhuan, C., & Gang, C. (2021). From consumer satisfaction to recommendation of mobile app-based services: an overview of mobile taxi booking Apps. SAGE Open. Advance online publication. doi: 10.1177/2158244 0211004179.

DOI: https://doi.org/10.1177/21582440211004179
View in Google Scholar

Sohn, S., & Groß, M. (2020). Understanding the inhibitors to consumer mobile purchasing intentions. Journal of Retailing and Consumer Services, 55, 102129. doi: 10.1016/j.jretconser.2020.102129.

DOI: https://doi.org/10.1016/j.jretconser.2020.102129
View in Google Scholar

Stefko, R., Bacík, R., Fedorko, R., Olearova, M., & Rigelsky, M. (2019). Analysis of consumer preferences related to the use of digital devices in the e-commerce dimension. Entrepreneurship and Sustainability Issues, 7(1), 25?33. doi: 10.97 70/jesi.2019.7.1(2).

DOI: https://doi.org/10.9770/jesi.2019.7.1(2)
View in Google Scholar

Stehel, V., Bradley, C., Suler, P., & Bilan, S. (2021). Cyber-physical system-based real-time monitoring, industrial big data analytics, and smart factory performance in sustainable manufacturing Internet of Things. Economics, Management, and Financial Markets, 16(1), 42?51. doi: 10.22381/emfm16120 214.

DOI: https://doi.org/10.22381/emfm16120214
View in Google Scholar

Talwar, S., Talwar, M., Kaur, P., & Dhir, A. (2020a). Consumers? resistance to digital innovations: a systematic review and framework development. Australasian Marketing Journal (AMJ), 28, 286?299. doi: 10.1016/j.ausmj.202 0.06.014.

DOI: https://doi.org/10.1016/j.ausmj.2020.06.014
View in Google Scholar

Talwar, M., Talwar, S., Kaur, P., Islam, A. K. M. N., & Dhir, A. (2020b). Positive and negative word of mouth (WOM) are not necessarily opposites: a reappraisal using the dual factor theory. Journal of Retailing and Consumer Services. Advance online publication. doi: 10.1016/j.jretconser.2020.102396.

DOI: https://doi.org/10.1016/j.jretconser.2020.102396
View in Google Scholar

Tarhini, A., Alalwan, A. A., Shammout, A. B., & Al-Badi, A. (2019). An analysis of the factors affecting mobile commerce adoption in developing countries: Towards an integrated model. Review of International Business and Strategy, 29, 157?179. doi: 10.1108/RIBS-10-2018-0092.

DOI: https://doi.org/10.1108/RIBS-10-2018-0092
View in Google Scholar

Throne, O., & Lăzăroiu, G. (2020). Internet of Things-enabled sustainability, industrial big data analytics, and deep learning-assisted smart process planning in cyber-physical manufacturing systems. Economics, Management, and Financial Markets, 15(4), 49?58. doi: 10.22381/EMFM15420205.

DOI: https://doi.org/10.22381/EMFM15420205
View in Google Scholar

Touzani, M., Charfi, A. A., Boistel, P., & Niort, M.-C. (2018). Connecto ergo sum! an exploratory study of the motivations behind the usage of connected objects, Information & Management, 55, 472?481. doi: 10.1016/j.im.2017.11.002.

DOI: https://doi.org/10.1016/j.im.2017.11.002
View in Google Scholar

Tueanrat, Y., Papagiannidis, S., & Alamanos, E. (2021). A conceptual framework of the antecedents of customer journey satisfaction in omnichannel retailing. Journal of Retailing and Consumer Services, 61, 102550. doi: 10.1016/j.jretc onser.2021.102550.

DOI: https://doi.org/10.1016/j.jretconser.2021.102550
View in Google Scholar

Tyrväinen, O., & Karjaluoto, H. (2019). A systematic literature review and analysis of mobile retailing adoption. Journal of Internet Commerce, 18, 221?247. doi: 10.1080/15332861.2019.1595364.

DOI: https://doi.org/10.1080/15332861.2019.1595364
View in Google Scholar

Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2020). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal (AMJ). Advance online publication. doi: 10.1016/j.ausmj.2020.01.002.

DOI: https://doi.org/10.1016/j.ausmj.2020.01.002
View in Google Scholar

Valaskova, K., Ward, P., & Svabova, L. (2021a). Deep learning-assisted smart process planning, cognitive automation, and industrial big data analytics in sustainable cyber-physical production systems. Journal of Self-Governance and Management Economics, 9(2), 9?20. doi: 10.22381/jsme9220211.

DOI: https://doi.org/10.22381/jsme9220211
View in Google Scholar

Valaskova, K., Durana, P., & Adamko, P. (2021b). Changes in consumers? purchase patterns as a consequence of the COVID-19 pandemic. Mathematics, 9(15), 1788. doi: 10.3390/math9151788.

DOI: https://doi.org/10.3390/math9151788
View in Google Scholar

Verkijika, S. F. (2020). An effective response model for understanding the acceptance of mobile payment systems. Electronic Commerce Research and Applications, 39, 100905. doi: 10.1016/j.elerap.2019.100905.

DOI: https://doi.org/10.1016/j.elerap.2019.100905
View in Google Scholar

Wells, R., Suler, P., & Vochozka, M. (2021). Networked driverless technologies, autonomous vehicle algorithms, and transportation analytics in smart urban mobility systems. Contemporary Readings in Law and Social Justice, 13(1), 60?70. doi: 10.22381/CRLSJ13120216.

DOI: https://doi.org/10.22381/CRLSJ13120216
View in Google Scholar

Zafar, A. U., Shen, J., Shahzad, M., & Islam, T. (2021). Relation of impulsive urges and sustainable purchase decisions in the personalized environment of social media. Sustainable Production and Consumption, 25, 591?603. doi: 10.1016/j.spc.2020.11.020.

DOI: https://doi.org/10.1016/j.spc.2020.11.020
View in Google Scholar

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2021-12-21

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Andronie, M., Lăzăroiu, G., Ștefănescu, R., Ionescu, L., & Cocoșatu, M. (2021). Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps. Oeconomia Copernicana, 12(4), 1033–1062. https://doi.org/10.24136/oc.2021.034

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