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Digital Transformation in Entrepreneurship: Challenges and Opportunities for Small Businesses

Authors: Julio Cesar, Conceicao de Melo;

Digital Transformation in Entrepreneurship: Challenges and Opportunities for Small Businesses

Abstract

Digital transformation, once limited to large corporations, has become an accessible reality for micro and small businesses. The adoption of digital tools enables these businesses to make data-driven strategic decisions, optimize processes, and improve customer experiences. The effective use of Big Data provides a competitive advantage, as technologies like Google Analytics, CRM, and marketing automation allow for the analysis of consumer trends and the personalization of offers.owever, digitalization requires a solid online presence, with optimized websites and the use of e-commerce and digital payment platforms such as Pix. Additionally, the automation of financial processes, inventory control, and customer service results in efficiency gains. Despite the benefits,significant obstacles remain: a lack of technical knowledge, resistance to change, and limited financial resources. However, with technological advancements and the availability of training programs and consulting services, many entrepreneurs have overcome these challenges. A study by Mandviwalla and Flanagan (2021)demonstrated how digitalization was crucial for the survival of small businesses during the pandemic.Other studies, such as those by Sestino et al. (2020)and Chen et al. (2021), highlight the role of emerging technologies like IoT and Big Data, as well as the importance of government support. Ultimately,digital transformation offers a strategic opportunity for small businesses to remain competitive in an ever-evolving market, being essential for growth,innovation, and adaptation to new demands.Indexed Terms- Digital Transformation, SmallBusinesses, Big Data, Automation, Competitiveness.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green