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
- P. Vivekananth, Navneet Sharma, Cyberbullying Detection Using Continuous Based Bag of Words with Machine Learning by Text Classification , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Harshaben Raghubhai Pankuta, Kusum R. Yadav, Evaluating the effectiveness of the Gyankunj Project: Teachers’ perceptions from Gujarat , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, The role of big data in transforming human resource analytics: A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Madhu Bala Sharma, Pooja Yadav, A survey of attitude and behavior of Indian equity investors towards cryptocurrencies: Using smart-PLS and systematic equation modeling (SEM) approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Mansi Harjivan Chauhan, Divyang D. Vyas, Advancements in sentiment analysis – A comprehensive review of recent techniques and challenges , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- R. Sudha, B Indira, M Kalidas, Kalluri Rama Krishna, M. Jithender Reddy, G.N.R. Prasad, E-commerce in the B2B market: solutions for the point of sale , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Divya R., Vanathi P. T., Harikumar R., An optimized cardiac risk levels classifier based on GMM with min- max model from photoplethysmography signals , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- M. Rajalakshmi, V. Sulochana, Enhancing deep learning model performance in air quality classification through probabilistic hyperparameter tuning with tree-structured Parzen estimators , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Aruljothi Rajasekaran, Jemima Priyadarsini R., ECDS: Enhanced Cloud Data Security Technique to Protect Data Being Stored in Cloud Infrastructure , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 9 10 11 12 13 14 15 16 17 18 > >>
You may also start an advanced similarity search for this article.

