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

Author

Listed:
  • Mihai Andronie

    (Spiru Haret University, Romania)

  • George Lãzãroiu

    (Institute of Smart Big Data Analytics, United States; Spiru Haret University, Romania)

  • Roxana ?tefãnescu

    (Spiru Haret University, Romania)

  • Lumini?a Ionescu

    (Spiru Haret University, Romania)

  • Mãdãlina Coco?atu

    (The National University of Political Studies and Public Administration, Romania)

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.

Suggested Citation

  • Mihai Andronie & George Lãzãroiu & Roxana ?tefãnescu & Lumini?a Ionescu & Mãdãlina Coco?atu, 2021. "Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps," Oeconomia Copernicana, Institute of Economic Research, vol. 12(4), pages 1033-1062, December.
    • Handle: RePEc:pes:ieroec:v:12:y:2021:i:4:p:1033-1062
    DOI: 10.24136/oc.2021.034
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    References listed on IDEAS

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    Cited by:

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    2. Elvira Nica & Gheorghe H. Popescu & Milos Poliak & Tomas Kliestik & Oana-Matilda Sabie, 2023. "Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks," Mathematics, MDPI, vol. 11(9), pages 1-25, April.
    3. Dong-Kyu Kim & Chulhwan Choi & Sung-Un Park, 2023. "Relationship Between Sports Policy, Policy Satisfaction, and Participation Intention During COVID-19 in Korea," SAGE Open, , vol. 13(4), pages 21582440231, December.
    4. Dan-Cristian Dabija & Luiela Magdalena Csorba & Florin-Lucian Isac & Sergiu Rusu, 2023. "Managing Sustainable Sharing Economy Platforms: A Stimulus–Organism–Response Based Structural Equation Modelling on an Emerging Market," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    5. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    6. Pop, Rebeka-Anna & Hlédik, Erika & Dabija, Dan-Cristian, 2023. "Predicting consumers' purchase intention through fast fashion mobile apps: The mediating role of attitude and the moderating role of COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    7. Balcerzak, Adam P. & Zinecker, Marek & Skalický, Roman & Rogalska, Elżbieta & Doubravský, Karel, 2023. "Technology-oriented start-ups and valuation: A novel approach based on specific contract terms," Technological Forecasting and Social Change, Elsevier, vol. 197(C).

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    More about this item

    Keywords

    mobile shopping app; mobile commerce platform; mobile payment service; Internet-enabled consumer device; consumer technological adoption;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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