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Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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A COMPARATIVE STUDY OF OPERATIONS OF E-COMMERCE STARTUPS AND TRADITIONAL FAMILY BUSINESSES

Authors: Khushi Purohit & Dr. Jyoti Thakur;

A COMPARATIVE STUDY OF OPERATIONS OF E-COMMERCE STARTUPS AND TRADITIONAL FAMILY BUSINESSES

Abstract

The rapid growth of e-commerce startups has significantly transformed the way businesses operate, compete, and serve customers, while traditional family businesses continue to play a vital role in the economy through their long-established operational practices and strong customer relationships. This research paper aims to present a comparative study of the operational aspects of e-commerce startups and traditional family businesses, focusing on areas such as business models, supply chain management, marketing strategies, technology adoption, customer relationship management, and overall operational efficiency. The study is based on both primary and secondary data. Primary data has been collected through structured questionnaires and personal interviews with owners and managers of selected e-commerce startups and traditional family businesses, while secondary data has been sourced from journals, research papers, company reports, and online publications. A descriptive and comparative research design has been adopted to analyze the collected data systematically. The findings of the study reveal that e-commerce startups largely depend on technology-driven operations, digital marketing, and scalable business models, which enable them to reach a wider customer base and achieve faster growth. In contrast, traditional family businesses rely more on personal relationships, local market knowledge, and experience-based decision-making, which help them maintain customer loyalty and stability. However, traditional businesses face challenges related to limited technological adoption and scalability, whereas e-commerce startups often struggle with high competition and customer retention. The study concludes that both business models possess distinct operational strengths and weaknesses, and a balanced integration of modern technology with traditional business values can enhance operational efficiency and long-term sustainability.

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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
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