Exploring the Impact of Emerging Technologies on Business Models, Customer Behavior, and Workforce Implications
DOI:
https://doi.org/10.55885/jmap.v2i1.185Keywords:
Emerging Technologies, Business Models, Customer Behavior, Workforce ImplicationsAbstract
In this study, we investigate how new technologies affect traditional company structures, consumer habits, and the implications for the labor force. This research delves deeply into the potential of robots, blockchain, and AI to disrupt existing markets and pave the way for new forms of business and product development. The study used a qualitative strategy, which included a literature review and industry-specific case studies. According to the data and analysis, if you want to successfully adopt new technologies, you need to take a strategic approach that takes into account the wants and fears of your customers and employees while also opening the door to growth and innovation. This research emphasizes the value of learning about and catering to customers' individual preferences and requirements before investing in the creation of customer-centric technologies. In addition, it stresses the significance of businesses investing in retraining and development to equip their workforce with the skills necessary to adapt to new job roles, as well as working with the workforce to address concerns and meet their needs. Finally, to effectively utilize emerging technologies for growth and innovation, it is necessary to continually evaluate and adjust to the impact they are having on business models, customer behavior, and the workforceReferences
B. Rawat, D., Chaudhary, V., & Doku, R. (2020). Blockchain Technology: Emerging Applications and Use Cases for Secure and Trustworthy Smart Systems. Journal of Cybersecurity and Privacy, 1(1), 4–18. https://doi.org/10.3390/jcp1010002
Bryant, C., & Barnett, J. (2020). Consumer acceptance of cultured meat: An updated review (2018-2020). In Applied Sciences (Switzerland) (Vol. 10, Issue 15). MDPI AG. https://doi.org/10.3390/app10155201
Camarinha-Matos, L. M., Fornasiero, R., Ramezani, J., & Ferrada, F. (2019). Collaborative networks: A pillar of digital transformation. Applied Sciences (Switzerland), 9(24). https://doi.org/10.3390/app9245431
Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & de Felice, F. (2020). Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. In Sustainability (Switzerland) (Vol. 12, Issue 2). MDPI. https://doi.org/10.3390/su12020492
di Vaio, A., Boccia, F., Landriani, L., & Palladino, R. (2020a). Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario. Sustainability (Switzerland), 12(12). https://doi.org/10.3390/SU12124851
di Vaio, A., Boccia, F., Landriani, L., & Palladino, R. (2020b). Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario. Sustainability (Switzerland), 12(12). https://doi.org/10.3390/SU12124851
Duan, J., Zhang, C., Gong, Y., Brown, S., & Li, Z. (2020). A content‐analysis based literature review in blockchain adoption within food supply chain. In International Journal of Environmental Research and Public Health (Vol. 17, Issue 5). MDPI AG. https://doi.org/10.3390/ijerph17051784
Gu, S., Ślusarczyk, B., Hajizada, S., Kovalyova, I., & Sakhbieva, A. (2021). Impact of the covid-19 pandemic on online consumer purchasing behavior. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2263–2281. https://doi.org/10.3390/jtaer16060125
Haseeb, M., Hussain, H. I., Kot, S., Androniceanu, A., & Jermsittiparsert, K. (2019). Role of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. Sustainability (Switzerland), 11(14). https://doi.org/10.3390/su11143811
Hee Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 1–18. https://doi.org/10.3390/ijerph18010271
Ipsen, C., van Veldhoven, M., Kirchner, K., & Hansen, J. P. (2021). Six key advantages and disadvantages of working from home in europe during covid-19. International Journal of Environmental Research and Public Health, 18(4), 1–19. https://doi.org/10.3390/ijerph18041826
Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The Impact of Chatbots on Customer Loyalty: A Systematic Literature Review. In Journal of Theoretical and Applied Electronic Commerce Research (Vol. 17, Issue 1, pp. 212–229). MDPI. https://doi.org/10.3390/jtaer17010011
Moro-Visconti, R., Rambaud, S. C., & Pascual, J. L. (2020). Sustainability in FinTechs: An explanation through business model scalability and market valuation. Sustainability (Switzerland), 12(24), 1–24. https://doi.org/10.3390/su122410316
Paliwal, V., Chandra, S., & Sharma, S. (2020). Blockchain technology for sustainable supply chain management: A systematic literature review and a classification framework. In Sustainability (Switzerland) (Vol. 12, Issue 18). MDPI. https://doi.org/10.3390/su12187638
Parida, V., Sjödin, D., & Reim, W. (2019). Reviewing literature on digitalization, business model innovation, and sustainable industry: Past achievements and future promises. In Sustainability (Switzerland) (Vol. 11, Issue 2). MDPI. https://doi.org/10.3390/su11020391
Sima, V., Gheorghe, I. G., Subić, J., & Nancu, D. (2020). Influences of the industry 4.0 revolution on the human capital development and consumer behavior: A systematic review. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/SU12104035
Stefanakis, A. I. (2020). Constructed wetlands for sustainable wastewater treatment in hot and arid climates: Opportunities, challenges and case studies in the Middle East. In Water (Switzerland) (Vol. 12, Issue 6). MDPI AG. https://doi.org/10.3390/W12061665
Toader, D. C., Boca, G., Toader, R., Măcelaru, M., Toader, C., Ighian, D., & Rădulescu, A. T. (2020). The effect of social presence and chatbot errors on trust. Sustainability (Switzerland), 12(1). https://doi.org/10.3390/SU12010256
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