Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Sma...Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.展开更多
Since the 1980s, the defect of same professions and same products between large and small enterprisces, and, among the samll and medium - sized enterprises(SME), has lowered the competitive force of China’s industry ...Since the 1980s, the defect of same professions and same products between large and small enterprisces, and, among the samll and medium - sized enterprises(SME), has lowered the competitive force of China’s industry as a whole, restrained the SME from a good development way. WTO and economic globalization bring more opportunities and condition than challenges to SME for its restructuring. According to this thesis, most of the SME should enter into the specialization and coordination system in which large enterprises is dominator, more than now SME should enter into the international specialization and coordination system, and others would choose the model of "aggregation". In the last part of this paper, the author makes a comparative analysis Of three models conducting representatively in Shenzhen, Wenzhou and "Suxichang" (south Jiangsu province). The author stresses that Naming should comprehensively use the advantage of" Shenzhen model" and" Suxichang model" for reference.展开更多
Considering the important changes in the Swiss energy sector, especially in renewable energy(RE)technologies, new revenue possibilities for small and medium sized enterprises(SMEs) emerge. However, the adaption of RE-...Considering the important changes in the Swiss energy sector, especially in renewable energy(RE)technologies, new revenue possibilities for small and medium sized enterprises(SMEs) emerge. However, the adaption of RE-technologies for Swiss enterprises relies on tangible financial returns, based on complex calculations. This article analyses business opportunities(BOs) of eight Swiss SMEs considering the net present value of RE-investments in an uncertain economic environment. We identify two profitable BOs for Swiss SMEs and three which are not profitable. Further, the article demonstrates that the profitability of such investments remains mostly positive even under economic uncertainties. Surprisingly the profitability does not change significantly if the SME receives a subsidy or not. The support instrument of the Swiss Government has not a ponderous impact on the decision to invest in RE-technologies or not. Therefore, the article emphasizes the importance of including SME in the Swiss attempt to decentralize the energy market.展开更多
文摘Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.
文摘Since the 1980s, the defect of same professions and same products between large and small enterprisces, and, among the samll and medium - sized enterprises(SME), has lowered the competitive force of China’s industry as a whole, restrained the SME from a good development way. WTO and economic globalization bring more opportunities and condition than challenges to SME for its restructuring. According to this thesis, most of the SME should enter into the specialization and coordination system in which large enterprises is dominator, more than now SME should enter into the international specialization and coordination system, and others would choose the model of "aggregation". In the last part of this paper, the author makes a comparative analysis Of three models conducting representatively in Shenzhen, Wenzhou and "Suxichang" (south Jiangsu province). The author stresses that Naming should comprehensively use the advantage of" Shenzhen model" and" Suxichang model" for reference.
文摘Considering the important changes in the Swiss energy sector, especially in renewable energy(RE)technologies, new revenue possibilities for small and medium sized enterprises(SMEs) emerge. However, the adaption of RE-technologies for Swiss enterprises relies on tangible financial returns, based on complex calculations. This article analyses business opportunities(BOs) of eight Swiss SMEs considering the net present value of RE-investments in an uncertain economic environment. We identify two profitable BOs for Swiss SMEs and three which are not profitable. Further, the article demonstrates that the profitability of such investments remains mostly positive even under economic uncertainties. Surprisingly the profitability does not change significantly if the SME receives a subsidy or not. The support instrument of the Swiss Government has not a ponderous impact on the decision to invest in RE-technologies or not. Therefore, the article emphasizes the importance of including SME in the Swiss attempt to decentralize the energy market.
