Analysis of organizational culture and e-commerce adoption in the context of top management perspectives
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.61Keywords:
E-commerce adoption, Small and Medium Enterprises (SMEs), Technological readiness, Business performance, Third-party platformsDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Objectives: The aim of this study is to examine the factors influencing e-commerce adoption (ECA) among SMEs and evaluate its impact on their business performance. The research employs a mixed-methods approach, combining quantitative surveys and qualitative interviews with small and medium enterprises (SMEs) owners and managers across diverse industries and geographical locations.Abstract
Methods: The analysis involved collecting and scrutinizing data from various organizations to provide a quantitative understanding of the relationship between organizational culture and ECA perceptions among top management. The factorability of the collected data was tested using the Bartlett’s test of sphericity and the Kaiser-Meyer-Olkin (KMO) test, which are commonly used to assess the appropriateness of data for factor analysis.
Findings: This work underscores the importance of acknowledging the role of culture in ECA and emphasizes the significance of further research and strategies for fostering a culture that promotes and supports e-commerce within enterprises. Finally, barriers of ECA and Influencing and user satisfaction factors are identified and the conceptual framework of factors influencing ecommerce adoption in SMEs (Service sector) of ASSAM is developed.
Novelty: Applying these tests specifically to the context of ECA in SMEs is a novel application.
How to Cite
Downloads
Similar Articles
- S. Sindhu, L. Arockiam, A lightweight selective stacking framework for IoT crop recommendation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Saarumathi R, Ritha W, Impregnable inventory stewardship for a closed loop supply chain besides energy usage, defective production and green investment manoeuvring pentagonal fuzzy number , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- B. R. JAIPAL, POPULATION STRUCTURE OF NILGAI (BOSELAPHUS TRAGOCAMELUS) IN THE SEMI ARID REGION OF THE THAR DESERT , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- Nitin Bhone, Nilesh Diwakar, S. S. Chinchanikar, Multi-response optimization for AISI M7 Hard Turning Using the utility concept , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Purnendu B. Acharjee, Bhupaesh Ghai, Muniyandy Elangovan, S. Bhuvaneshwari, Ravi Rastogi, P. Rajkumar, Exploring AI-driven approaches to drug discovery and development , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Rajeev P. R., K. Aravinthan, A novel approach for metrics-based software defect prediction using genetic algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- M. Prabhu, A. Chandrabose, Optimization based energy aware scheduling in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Virendra Chavda, Bhavesh J. Parmar, Urvi Zalavadia, Assessment of Omni channel retailing characteristics and its effect on consumer buying intention , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Murugaraju P, A. Edward William Benjamin, Efficacy of multimedia courseware in achievement in Mathematics , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
<< < 36 37 38 39 40 41 42 > >>
You may also start an advanced similarity search for this article.

