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Organizational Culture Content of the manufacturing companies in Austria and the Czech Republic

Journalism and Mass Communication 2014年第9期4卷 585-592页

作者： Zdenka Konecna Beate Huber Bmo University of Technology Bmo Czech Republic FH Wien-Studiengange der WKW Wien Austria

The main focus of this scientific article is organizational culture that represents very complicated and complex social phenomenon. Organizational culture is understood as the set of basic assumptions, values, standards, and artifacts, shared in the company in long-term horizon. The main objective of empirical research was to map organizational culture content in manufacturing companies in the Czech Republic and Austria. The content of organizational culture in the selected level of analysis was identified by means of qualitative methods--individual interviews and focus group discussions. With respect to specified objective, research was implemented in the sample of 10 companies in the Czech Republic and Austria. Data acquired by qualitative method of focus group were processed by means of content analysis. The main result of this part of empirical research was to describe the organizational culture content in the manufacturing companies operating in Austrian and Czech environment.

关键词： organizational culture company performance manufacturing companies Austria Czech Republic

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A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies

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Journal of Management Science and Engineering 2021年第4期6卷 435-448页

作者： Nan Zhu Chuanjin Zhu Ali Emrouznejad Western Business School Southwestern University of Finance and EconomicsChengdu610074China School of Statistics Southwestern University of Finance and EconomicsChengdu611130China Operations&Information Management Aston Business SchoolAston UniversityBirminghamUK

Data Envelopment Analysis(DEA)is a linear programming methodology for measuring the efficiency of Decision Making Units(DMUs)to improve organizational performance in the private and public ***,if a new DMU needs to be known its efficiency score,the DEA analysis would have to be re-conducted,especially nowadays,datasets from many fields have been growing rapidly in the real world,which will need a huge amount of *** the previous studies,this paper aims to establish a linkage between the DEA method and machine learning(ML)algorithms,and proposes an alternative way that combines DEA with ML(ML-DEA)algorithms to measure and predict the DEA efficiency of *** ML-DEA algorithms are discussed,namely DEA-CCR model combined with back-propagation neural network(BPNN-DEA),with genetic algorithm(GA)integrated with back-propagation neural network(GANN-DEA),with support vector machines(SVM-DEA),and with improved support vector machines(ISVM-DEA),*** illustrate the applicability of above models,the performance of Chinese manufacturing listed companies in 2016 is measured,predicted and compared with the DEA efficiency scores obtained by the DEA-CCR *** empirical results show that the average accuracy of the predicted efficiency of DMUs is about 94%,and the comprehensive performance order of four ML-DEA algorithms ranked from good to poor is GANN-DEA,BPNN-DEA,ISVM-DEA,and SVM-DEA.

关键词： Data envelopment analysis Machine learning Efficiency manufacturing companies

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服务化能否为制造企业带来竞争优势

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国民经济管理 2016年第1期

作者：周杰李小玉薛有志

分析了制造企业服务化影响竞争优势的内在机理和国际化企业内外部环境特征的调节作用，并以2011～2013年中国制造业上市公司为样本，从外部市场绩效与内部经营绩效两个层面，分别检验制造企业服务化对其行业相对绩效的影响以及本土化企... 详细信息

分析了制造企业服务化影响竞争优势的内在机理和国际化企业内外部环境特征的调节作用，并以2011～2013年中国制造业上市公司为样本，从外部市场绩效与内部经营绩效两个层面，分别检验制造企业服务化对其行业相对绩效的影响以及本土化企业与国际化企业服务化效果的差异。研究结果表明：制造企业进入服务领域，尤其是非标准契约型服务领域，会对企业外部市场绩效产生显著的积极影响，但是对企业内部经营绩效的影响相对较弱；相对于国际化企业，本土化制造企业进入服务领域产生了更突出的外部市场绩效；相对于本土化企业，国际化制造企业进入服务领域，尤其是非标准契约型服务领域，带来了更加突出的内部经营绩效。

关键词：服务化制造企业竞争优势本土化企业国际化企业 servitization manufacturing companies competitive advantage local companies international companies

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