Understanding Country Level Adoption of E-Commerce

Ahluwalia, Punit; Merhi, Mohammad I.

doi:10.4018/jgim.2020010101

Cited by 32 publications

(11 citation statements)

References 82 publications

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“…Besides the increase of company productivity or UKM, e-commerce could also expand the SME market and be able to compete in the international market. In China, e-commerce had increased by 120% per year over the past 10 years [11,12]. From the results of the study, there were several effects of e-commerce on small companies:…”

Section: Figure 3 Internet Use and Online Purchasesmentioning

confidence: 95%

E-Commerce Impact on Small Companies

Surya

Nugraha

2020

ICOBEST

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This study aims to determine how much influence e-commerce has on small companies. The type of research method used was descriptive method by examining the results of several studies. The results of this study were that e-commerce was able to increase the number of sales and expand market reach. Based on the results of the literature, it was found that the existence of e-commerce can increase the productivity of small companies

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Section: Figure 3 Internet Use and Online Purchasesmentioning

confidence: 95%

E-Commerce Impact on Small Companies

Surya

Nugraha

2020

ICOBEST

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“…Moreover, an example of that relevance is when individuals are reluctant to operate commercial transactions online because their culture has a higher level of uncertainty avoidance. (Ahluwalia & Merhi, 2020).…”

Section: E-commerce and Culturementioning

confidence: 99%

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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“…The epidemic is a severe test for the platform, and how to deal with and grasp the rebound in business demand after the epidemic will bring a new round of challenges to the platform. The epidemic will inevitably cause delays in shipments or disrupt cross-border sellers' replenishment plans, and some cross-border sellers may experience a crisis of out of stock (Ahluwalia & Merhi, 2020). Online education resources are rich, free from space constraints, and more flexible and online education has a large amount of learning data.…”

Section: Global Production Chain Processmentioning

confidence: 99%

Research on the Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on the Global Trade Economy Based on Big Data Analysis

et al. 2021

Journal of Organizational and End User Computing

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The coronavirus disease 2019 (COVID-19) epidemic that began in early 2020 quickly formed a global trend, bringing unprecedented shocks to many countries’ and even the global trade economy. Big data is the main feature of the Internet era, which has transformed the industrial development pattern of modern society and has now flourished in the field of trade economy; therefore, it is of great significance to apply the big data analysis technology to study the impact of the COVID-19 epidemic on the global trade economy. On the basis of summarizing and analyzing previous research works, this paper, expounded the research status and significance of the impact of the COVID-19 epidemic on the global trade economy, elaborated the development background, The study results of this paper provide a reference for further researches on the impact of the impact of the COVID-19 epidemic on the global trade economy based on big data analysis.

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Understanding Country Level Adoption of E-Commerce

Cited by 32 publications

References 82 publications

E-Commerce Impact on Small Companies

E-Commerce Impact on Small Companies

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

Research on the Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on the Global Trade Economy Based on Big Data Analysis

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