促进电子商务发展的因素在拉脱维亚的使用程度

IF 0.5 Q3 AREA STUDIES
I. Jēkabsone, I. Gudele
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引用次数: 1

摘要

一些研究已经认识到,电子商务可以对任何类型的业务产生积极影响,使企业工作更快,更高效,更经济。考虑到企业对电子商务的使用程度不同,分析影响电子商务发展的因素对决策者制定相应的战略至关重要。本研究的目的是通过电子商务的使用程度来分析促进拉脱维亚电子商务发展的因素。研究的任务是:1)根据企业对电子商务的利用程度,对电子商务发展的影响因素的理论背景进行梳理;2)对欧盟电子商务发展影响因素的研究现状进行综述;3)根据各自企业使用电子商务的程度,分析拉脱维亚企业家在促进电子商务发展的因素背景下进行的调查结果。论文编制中采用的研究方法:对科学出版物和以往开展的研究成果进行分析,对拉脱维亚企业家的调查结果进行分析。调查结果分析使用描述性统计指标(集中趋势或位置指标-算术平均值,模式,中位数),变异性指标(分散指标-范围,标准差和平均值的标准误差),方差分析-方差分析。调查显示,充分利用电子商务机会的企业家和根本不利用电子商务机会的企业家对“社会因素”和“监管因素”这两组因素的评估存在显著差异。为了推广使用电子贸易的可能性,政府期望发展不同的培训和计划,以提高雇主和雇员在电子贸易方面的知识、技能和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Contributing to the Development of E-Commerce by the Degree of use in Latvia
Several studies have recognized that e-commerce can have a positive impact on any type of business, making enterprises work faster, more efficient and more economical. Taking into account different degrees of e-commerce use, it is important to analyse the factors contributing to the development of the e-commerce in respective enterprises, so decision-makers can develop the strategy accordingly. Purpose of the study is to analyse the factors contributing to the development of the e-commerce in Latvia by the degree of use of e-commerce. The tasks of the study: 1) to review theoretical background of factors contributing to the development of the e-commerce depending on the degree of use of e-commerce in the enterprise; 2) to review existing research of factors contribution to the development of the e-commerce in EU; 3) to analyse the results of conducted survey among Latvian entrepreneurs in context of factors contributing to the development of the e-commerce depending on the degree of use of e-commerce in the respective enterprises. Research methods used in preparation of the paper: scientific publication and previous conducted research results analysis, analysis of the results of the survey on Latvian entrepreneurs. Survey results are analysed using indicators of descriptive statistics (indicators of central tendency or location - arithmetic mean, mode, median), indicators of variability (indicators of dispersion - range, standard deviation and standard error of mean), analysis of variance - ANOVA are used. The survey showed that there are significant differences in the assessment of the groups of factors “Social factors” and “Regulatory factors” between entrepreneurs who take full advantage of e-commerce opportunities and those who do not use them at all. In order to promote the use of e-commerce possibilities, different trainings and programmes  are expected to be development to improve the  knowledge, skills and competences of  employers and employees  in the area of e-commerce.
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