• Abstract

    The long-term processes of the evolution of digitalization and automation have a great deal of impact, changing work forms, changing job profiles and vocations, and the digital economy playing a bigger role, which presents the difficulties for social policies. The aim of this systematic literature review is to give the essence of the current state of research on the impact of the Industrial 4.0 Transition on consumer behavior. A Web of Science search turned up 155 publications that satisfied the requirements for inclusion. The main goals were to identify the following primary drivers of consumer behavior as examined through the prism of the Industrial 4.0 Transition, the main obstacles and chances for creative teaching approaches pertaining to altering the workplace, and the primary categories of effects of the Revolution of Industrial 4.0 on consumer behavior. The results showed some crucial details for the main elements influencing consumer behavior like, data, technological advancement, online shopping, Internet of Things, the Internet, e-distribution, robotics, customized artificial intelligence, efficiency, intent to behave and mining of data.

  • References

    1. Agolla JE (2018) Human Capital in the Smart Manufacturing and Industry 4.0 Revolution. In Digital Transformation in Smart Manufacturing; Petrillo A, Cioffi R, Felice D, Fabio Eds.; IntechOpen: London, UK, 44:51. 10.5772/intechopen.73575
    2. Ahmed S, Taskin N, Pauleen DJ & Parker J (2017). Motivating Information Technology Professionals. The case of New Zealand. Australas. J. Inf. Syst., 21, 21. 10.3127/ajis.v21i0.1421
    3. Autor DH (2015) Why Are There Still So Many Jobs? The History and Future of Workplace Automation. J. Econ. Perspect, 29(3), 30. 10.1257/jep.29.3.3
    4. Banabic D (2018). Evolu¸tiatehnicii¸ sitehnologiilor de la prima la a patrarevolu¸tieindustrial㸠siimpactullor social. In Discurs de recep¸tieîn Academia Română; The Romanian Academy. Bucharest, Romania,
    5. Barata J, Da Cunha PR & Stal J (2018) Mobile supply chain management in the Industry 4.0 era. J. Enterp. Inf. Manag, 31, 173-192.https10.1108/JEIM-09-2016-0156
    6. Bejtkovský J, Rózsa Z & Mulyaningsih HD (2018) A phenomenon of digitalization and E-recruitment in business environment. Pol. J. Manag. Stud, 18, 58-68. 10.17512/pjms.2018.18.1.05
    7. Birkel H, Veile JW, Müller JM, Hartmann E & Voigt KI (2019). Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers. Sustainability, 11, 384. 10.3390/su11020384
    8. Byun S (2018) Evaluating Information Technology Systems Using Consumer Surveys. The Role of Personal Product Knowledge. J. Asian Financ. Econ. Bus., 5, 117, 125. 10.13106/jafeb.2018.vol5.no4.117
    9. Chandra S, Verma S, Lim WM, Kumar S & Donthu N, (2022). Personalization in personalized marketing. Trends and ways forward. Psychology & Marketing, 39, 1529-1562. 10.1002/mar.21670
    10. Charalampidis N (2019). The U.S. Labor income share and automation shocks. Econ. Inq. 58, 294-318. 10.1111/ecin.12829
    11. Chen S, Wei S, Zhang H & Gao Y (2019) Spatiotemporal Evolution of the Taiwanese-Funded Information Technology and Electronics Industry Value Chain in Mainland China. Sustainability, 11, 3214. 10.3390/su11113214
    12. Chiarvesio M & Romanello R (2018). Industry 4.0 Technologies and Internationalization. Insights from Italian Companies. Prog. Int. Bus. Res., 13, 357-378. 10.1108/S1745-886220180000013015
    13. Chivu-Draghia C & Antoce AO (2016). Consumer preferences regarding sources of information and use of technology for wine selection-a survey of millennials and generation X sample in Romania. Sci. Pap. Manag. Econ. Eng., 16, 65-74.
    14. Cotet GB, Carutasu NL & Chiscop F (2020). Industry 4.0 Diagnosis from an iMillennial Educational Perspective. Educ. Sci., 10-21. 10.3390/educsci10010021
    15. Cruz AC & Tavares LD (2016). Implementation of organizational climate survey for performance improvement and competitiveness of an information technology company. SistemasGestao, 11, 290-298. 10.20985/1980-5160.2016.v11n3.1119
    16. Da Silva VL, Kovaleski JL & Pagani RN (2018). Technology transfer in the supply chain oriented to industry 4.0. A literature review. Technol. Anal. Strat. Manag. 31, 546-562. 10.1080/09537325.2018.1524135
    17. Dalenogare LS, Benitez GB, Ayala NF & Frank AG (2018). The expected contribution of Industry 4.0 technologies for industrial performance. Int. J. Prod. Econ. 204, 383-394. 10.1016/j.ijpe.2018.08.019
    18. Dubé L, Du P, McRae C, Sharma N, Jayaraman S & Nie JY (2018). Convergent Innovation in Food through Big Data and Artificial Intelligence for Societal-Scale Inclusive Growth. Technol.Innov. Manag. Rev., 8, 49, 6. 10.22215/timreview/1139
    19. Eichhorst W, Hinte H, Rinne U & Tobsch V (2017). How Big is the Gig? Assessing the Preliminary Evidence on the Effects of Digitalization on the Labor Market. Manag. Rev., 28, 298-318. 10.5771/0935-9915-2017-3-298
    20. Fernández-Miranda SS, Marcos M, Peralta-Alvarez ME & Aguayo F (2017). The challenge of integrating Industry 4.0 in the degree of Mechanical Engineering. Procedia Manuf, 13, 1229-1236. 10.1016/j.promfg.2017.09.039
    21. Frank AG, Mendes G, Ayala NF & Ghezzi A (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms. A business model innovation perspective. Technol. Forecast. Soc. Chang, 141, 341, 35. 10.1016/j.techfore.2019.01.014
    22. Grudzewski F, Awdziej M, Mazurek G & Piotrowska K (2018). Virtual reality in marketing communication. The impact on the message, technology and offer perception.Empirical study. Econ. Bus. Rev., 4, 36-50. 10.18559/ebr.2018.3.4
    23. Hah H, Goldin D & Ha S (2019). Title Correction: The Association Between Willingness of Frontline Care Providers’ to Adaptively Use Telehealth Technology and Virtual Service Performance in Provider-to-Provider Communication: Quantitative Study. J. Med. Internet Res., 21, 17123.10.2196/15087
    24. Haseeb M, Sasmoko, Mihardjo LWW & Jermsittiparsert K (2019). Economic Impact of Artificial Intelligence. New Look for the Macroeconomic Assessment in Asia-Pacific Region. Int. J. Comput. Intell. Syst., 12, 1295-1310. 10.2991/ijcis.d.191025.001
    25. Hecklau F,Galeitzke M, Flachs S & Kohl H (2016). Holistic Approach for Human Resource Management in Industry 4.0. Procedia CIRP, 54, 1-6. 10.1016/j.procir.2016.05.102
    26. Hoßfeld S (2017). Optimization on Decision Making Driven by Digitalization. Econ. World, 5, 120-128. 110.17265/2328-7144/2017.02.004
    27. Jagatheesaperumal SK, Rahouti M, Ahmad K, Al-Fuqaha A & Guizani M, (2021) The duo of artificial intelligence and big data for industry 4.0. Applications, techniques, challenges, and future research directions. IEEE Internet of Things Journal, 9, 12861-12885. 10.1109/JIOT.2021.3139827
    28. Janˇcíková K & Milichovský F (2019). HR Marketing as a Supporting Tool of New Managerial Staff in Industry 4.0. Adm. Sci., 9, 60. 10.3390/admsci9030060
    29. Kagermann H, Helbig J, Hellinger A & Wahlster W (2013). Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0. Securing the Future of German Manufacturing Industry; Final Report of the Industrie 4.0 Working Group; Forschungsunion: Berlin, Germany, 19, 26.
    30. Kagermann H, Lukas WD & Wahlster W (2011). Industrie 4.0 Mitdem Internet der Dinge auf demWegzur 4. industriellen Revolution. VDI Nachr. 13, 2.
    31. Kiel D, Müller JM, Arnold C & Voigt KI (2017). Sustainable Industrial Value Creation: Benefits and Challenges of Industry 4.0. Int. J. Innov. Manag., 21, 1740015. 10.1142/S1363919617400151
    32. Kim J, Park HA & Chiu T (2012). Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention. J. Med. Internet Res., 14, 133.10.2196/jmir.2143
    33. Kinzel H (2017). Industry 4.0. Where does this leave the Human Factor? J. Urban Cult. Res., 15, 70-83. 10.14456/jucr.2017.14
    34. Kovacs G & Kot S (2016). New Logistics and Production Trends as the Effect of Global Economy Changes. Pol. J. Manag. Stud., 14, 115-126. 10.17512/pjms.2016.14.2.11
    35. Lee W & Shin S (2019). An empirical study of consumer adoption of Internet of Things services. Int. J. Eng. Technol. Innov., 9, 1-11.
    36. Lindh C, Nordman ER, Hånell SM, Safari A & Hadjikhani A (2020). Digitalization and International Online Sales. Antecedents of Purchase Intent. J. Int. Consum. Mark., 1-12. 10.1080/08961530.2019.1707143
    37. Lovric L (2012). Information-communication technology impact on labor productivity growth of EU developing countries. J. Econ. Bus., 30, 223-245.
    38. Malik PK, Sharma R, Singh R, Gehlot A, Satapathy SC, Alnumay WS, Pelusi D, Ghosh U & Nayak J (2021). Industrial Internet of Things and its applications in industry 4.0. State of the art. Computer Communications, 166, 125-139. 10.1016/j.comcom.2020.11.016
    39. Mehta S, Saxena T & Purohit N, (2020). The new consumer behavior paradigm amid COVID-19. permanent or transient?. Journal of health management, 22, 291-301. 10.1177/0972063420940834
    40. Müller JM, Buliga O & Voigt KI (2018). Fortune favors the prepared. How SMEs approach business model innovations in Industry 4.0. Technol. Forecast. Soc. Chang, 132, 2-17. 10.1016/j.techfore.2017.12.019
    41. Müller JM & Voigt KI (2018). Sustainable Industrial Value Creation in SMEs. A Comparison between Industry 4.0 and Made in China 2025. Int. J. Precis. Eng. Manuf. Technol, 5, 659-670. 10.1007/s40684-018-0056-z
    42. Ogutu SO, Okello JJ & Otieno DJ (2014). Impact of Information and Communication Technology-Based Market Information Services on Smallholder Farm Input Use and Productivity. The Case of Kenya. World Dev., 64, 311-321. 10.1016/j.worlddev.2014.06.011
    43. Pan M, Sikorski J, Kastner CA, Akroyd J, Mosbach S, Lau R & Kraft M (2015). Applying Industry 4.0 to the Jurong Island Eco-industrial Park. Energy Procedia, 75, 1536-1541. 10.1016/j.egypro.2015.07.313
    44. Pejic-Bach M, Bertoncel T & MeškoM,Krsti´c Ž (2020). Text mining of industry 4.0 job advertisements. Int. J. Inf. Manag., 50, 416-431. 10.1016/j.ijinfomgt.2019.07.014
    45. Porter ME & Heppelmann JE (2014). How smart, connected products are transforming competition. Harv. Bus. Rev., 92, 64-88.
    46. Qin J, Liu Y & Grosvenor R (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia CIRP, 52, 173-178. 10.1016/j.procir.2016.08.005
    47. Quinn J,Frias-Martinez V & Subramanian L (2014). Computational Sustainability and Artificial Intelligence in the Developing World. AI Mag., 35-36. 10.1609/aimag.v35i3.2529
    48. Ravina-Ripoll R, Domínguez JM, Del Rio M & Ángel M (2019). Happiness Management en la época de la Industria 4.0. Retos, 9, 189-202. 10.17163/ret.n18.2019.01
    49. Reynolds EB & Uygun Y (2017). Strengthening advanced manufacturing innovation ecosystems: The case of Massachusetts. Technol. Forecast. Soc. Chang, 136, 178-191. 10.1016/j.techfore.2017.06.003
    50. Rymarczyk J (2020). Technologies, opportunities, and challenges of the industrial revolution 4.0. theoretical considerations. Entrepreneurial business and economics review, 8, 185-198. 10.15678/EBER.2020.080110
    51. Saucedo-Martínez JA, Lara M, Marmolejo-Saucedo J, Salais-Fierro TE & Vasant P (2017). Industry 4.0 framework for management and operations. A review. J. Ambient. Intell. Humaniz. Comput, 9, 789-801. 10.1007/s12652-017-0533-1
    52. Schumacher A, Erol S & Sihn W (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, 161-166. 10.1016/j.procir.2016.07.040
    53. Schwab K, (2017). The fourth Industrial Revolution; World Economic Forum. Geneva, Switzerland.
    54. Sorgner A (2017). The Automation of Jobs. A Threat for Employment or a Source of New Entrepreneurial Opportunities? Foresight STI Gov., 11, 37-48. 10.17323/25002597.2017.3.37.48
    55. Stachova K, Papula J, Stacho Z & Kohnová L (2019). External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges. Sustainability, 11, 345. 10.3390/su11020345
    56. Sung TK (2018). Industry 4.0. A Korea perspective. Technol. Forecast. Soc. Chang, 132, 40-45. 10.1016/j.techfore.2017.11.005
    57. Tsai YT, Wang SC, Yan KQ & Chang CM (2017). Precise Positioning of Marketing and Behavior Intentions of Location-Based Mobile Commerce in the Internet of Things. Symmetry, 9, 139. 10.3390/sym9080139
    58. Wagner DN (2020). Economic patterns in a world with artificial intelligence. Evol. Inst. Econ. Rev., 17, 111-131. 10.1007/s40844-019-00157-x
    59. Wyrwicka M & Mrugalska B (2017). “Industry 4.0” Towards Opportunities and Challanges of Implementation. In Proceedings of the 24th International Conference on Production Research, Poznan, Poland, July, 30–3 August DEStech Publications. Lancaster, PA, USA; 382:387.
    60. Yan Y, Gupta S, Licsandru TC & Schoefer K (2022). Integrating machine learning, modularity and supply chain integration for Branding 4.0. Industrial Marketing Management, 104, 136-149. 10.1016/j.indmarman.2022.04.013
    61. Zhao S & Priporas CV (2017). Information technology and marketing performance within international market-entry alliances. Int. Mark. Rev., 34, 5-28. 10.1108/IMR-01-2016-0024

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2023 Malque Publishing

How to cite

Yadav, S., Kopare, A., Manjunath, H. R., & Mishra, A. (2024). Effects of the industrial 4.0 transition on consumer behavior: A systematic overview. Multidisciplinary Reviews, 6, 2023ss066. https://doi.org/10.31893/multirev.2023ss066
  • Article viewed - 9
  • PDF downloaded - 3