Entrepreneurial knowledge management model: a panacea for start-up failures in emerging markets

Knowledge is a very crucial and inevitable resource for new ventures to sustain competitive advantage. In this technology-driven dynamic world, the process of knowledge management of start-ups is not efficient enough to meet the competitive demands existing in the market. Huge differences exist between the knowledge management activities between the established firms and new firms. The process of knowledge management in start-ups is a relatively new and least explored area in entrepreneurship. The primary objective is to study the knowledge management process for start-ups through a qualitative approach; the secondary objective is to offer suggestions for knowledge acquisition and improving knowledge management in the start-ups; and the tertiary objective is to develop a model for effective knowledge management process for gaining sustainable competitive advantage. This paper is based on grounded theory. The authors of this study have collected data from ten entrepreneurs running start-ups in Chennai, an emerging market. NVivo 12 Plus qualitative software is used for analysing the data collected through the interview schedule. An entrepreneurial knowledge management model based on the insights and analysis from the interview schedule was developed, and suggestions were given regarding entrepreneurial knowledge management for start-ups.

Authors

Institutions

Publication Details

Journal
International Journal of Business Excellence
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbex.2025.147817
Primary Topic
Innovation and Socioeconomic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Entrepreneurial knowledge management model: a panacea for start-up failures in emerging markets

Vaneeta Aggarwal, Priyadarshini Jayaraj Perumal
International Journal of Business Excellence
Innovation and Socioeconomic Development
article

Entrepreneurial knowledge management model: a panacea for start-up failures in emerging markets

Vaneeta Aggarwal, Priyadarshini Jayaraj Perumal
article en

Abstract

Knowledge is a very crucial and inevitable resource for new ventures to sustain competitive advantage. In this technology-driven dynamic world, the process of knowledge management of start-ups is not efficient enough to meet the competitive demands existing in the market. Huge differences exist between the knowledge management activities between the established firms and new firms. The process of knowledge management in start-ups is a relatively new and least explored area in entrepreneurship. The primary objective is to study the knowledge management process for start-ups through a qualitative approach; the secondary objective is to offer suggestions for knowledge acquisition and improving knowledge management in the start-ups; and the tertiary objective is to develop a model for effective knowledge management process for gaining sustainable competitive advantage. This paper is based on grounded theory. The authors of this study have collected data from ten entrepreneurs running start-ups in Chennai, an emerging market. NVivo 12 Plus qualitative software is used for analysing the data collected through the interview schedule. An entrepreneurial knowledge management model based on the insights and analysis from the interview schedule was developed, and suggestions were given regarding entrepreneurial knowledge management for start-ups.

International Journal of Business ExcellenceVol. 36(4)
University of Madras (IN), Government Royapettah Hospital (IN)
Decent work and economic growth
Openalex Percentile: Top 64%
Innovation and Socioeconomic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.