Evaluation of Barriers in the Adoption of E-Commerce Technology in SMEs

Yadav, Honey; Soni, Umang; Gupta, Shubham; Kumar, Girish

doi:10.4018/jeco.292472

Cited by 15 publications

(10 citation statements)

References 72 publications

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“…However, national culture also tends to influence the perception of e-commerce reliability. In that same sense, the results of Yadav, Soni, Gupta, and Kumar (2022) describe barriers and what prevents implementation in SMEs. Among these, lack of benchmarking and lack of management commitment are the most significant factors for implementing e-commerce.…”

Section: E-commerce and Culturementioning

confidence: 86%

Association between expansion level and regional culture: An e-commerce view

Gomes¹,

Hein²,

Kroenke³

2023

Connecting Expertise Multidisciplinary Development for the Future

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This study aims analysis the association between regional culture and Expansion Levels in e-commerce business. This study was designed through an archival approach, and the data has information on 3,065 e-commerce sellers with 100,000 customer purchase orders. We use the regional cultural dimensions of Hofstede et al. (2010) for electronic sellers and the averages of the cultural dimensions of their respective customers. Therefore, to describe the association, we use a machine learning technique, a decision tree, to predict the level of regionalization. The findings described the importance of the long-term orientation dimension. In all decision tree models, this dimension was the most important, as it was decisive for dividing e-commerce sellers into low and high Expansion Levels. Moreover, other dimensions were also relevant. For example, power distance was also highlighted in models that considered the characteristics of customers or sellers only. The sample is only limited to a small business that needs support to develop their sales. The implication of these results is based on how the expansion of e-commerce can be associated with cultural dimensions. And yet, it is noted that the characteristics of the customers were more important to predict the Expansion Level since it obtained the smallest error.

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Section: E-commerce and Culturementioning

confidence: 86%

Association between expansion level and regional culture: An e-commerce view

Gomes¹,

Hein²,

Kroenke³

2023

Connecting Expertise Multidisciplinary Development for the Future

View full text Add to dashboard Cite

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“…The result of DEMATEL is a diagraph showing interdependence among factors, which divide factors into cause and effect groups, with numbers showing strength of influence [50]. DEMATEL has been successfully applied to discover relationships and rankings among adoption factors in various different industries such as the manufacturing sector [51], healthcare [22], banking [52], and retailing [53].…”

Section: Exploring Relationships Among Factorsmentioning

confidence: 99%

Exploring the Relationships among Factors Influencing Healthcare Chatbot Adoption

Liou,

2024

Sustainability

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Technology has revolutionized various industries; notably, chatbots impact healthcare through the efficient streamlining of medical procedures, cost reductions, and improved accessibility to healthcare services. Consequently, understanding how to promote the adoption of healthcare chatbots has become crucial for enhancing the healthcare industry and medical service quality. Despite numerous studies identifying factors influencing healthcare chatbot adoption, there is a notable lack of empirical verification regarding their interrelationships, leading to a significant knowledge gap. Therefore, this study aims to address this gap by developing a decision-making model to analyze the relationships among key factors regarding three dimensions: technology, user, and society. The model begins by filtering out insignificant factors based on experts’ opinions. Subsequently, it employs DEMATEL (Decision Making Trial and Evaluation Laboratory) to construct a causal relationships graph and the ISM (interpretive structural modeling) method to categorize these factors into a hierarchical order. To mitigate uncertainties stemming from the topic’s complexity, this study utilizes fuzzy sets and Z-number theory in the assessment process. The findings reveal a predominance of causal factors within the technological dimension. Notably, the quality of information provided by chatbots stands out as the most influential causal factor. The insights from this study suggest implications for both enterprises and governments to boost chatbot adoption in society.

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“…There are also doubts about whether SMEs can take advantage of the benefits of accessing the global market through the Internet, given their limited capabilities in design, distribution, marketing, and post-sale support. While the Internet can be useful in accessing international design expertise, SMEs are not confident that they can command a premium on the prices of their goods unless they offer product innovations [ 65 ].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Evaluating the utilization of technological factors to promote e-commerce adoption in small and medium enterprises

Hossain

Dewan

Senin

et al. 2023

Electron Commer Res

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This study examined the technological factor's utilization to promote the e-commerce in small and medium sized enterprises in Bangladesh. The technological factors are, Information and communication adoption, Internet connectivity, and Business data management. The e-commerce adoption factors involve the strategic innovation, research and development activity, and Productivity growth. The electronic commerce is being widely adopted in Bangladesh in the time of covid-19 pandemic. In the adoption of e-commerce, prominent factors are the internet connectivity, which plays a major role and Business data management which has equal importance for SMEs. SMEs have limited access to data as compared to multinational industries. However, the data has equal importance for multinational and SMEs to improve the e-commerce business. The research collects data from 115 SMEs from Bangladesh relating to different fields. The random selection method has been advised to collect data from SMEs aged not less than five years. The data collected for this research is through the interested parties of small and medium sized enterprises in Bangladesh. The data of the research is interpreted and analyzed through statistical software SPSS.

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Evaluation of Barriers in the Adoption of E-Commerce Technology in SMEs

Cited by 15 publications

References 72 publications

Association between expansion level and regional culture: An e-commerce view

Association between expansion level and regional culture: An e-commerce view

Exploring the Relationships among Factors Influencing Healthcare Chatbot Adoption

Evaluating the utilization of technological factors to promote e-commerce adoption in small and medium enterprises

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