..., this study deconstructs enterprise digital transformation into six characteristics and measures these characteristics using data from listed industrial companies between 2016 and 2020. Various machine learning methods, such as cluster analysis and Bayesian networks, are applied to explore the complex impact...

... with implemented supply chain management systems (Wang and Sedera, 2011). Supply chain risk management Cluster analysis Value Survey Attitude Expectation confirmation theory Supply chain risk management (SCRM) has emerged as an issue of critical importance for today’s globalised supply chains...

... empirically examined. This study clarifies this issue. Supply chain management Environmental uncertainty Power regimes Strategic planning Cluster analysis Our research methods included, first, data collection by a survey, followed by cluster analysis to classify the power circumstances...

... to local markets; competition with other regions is limited; most companies provide services; and few goods producing industries (Porter, 2003). © Emerald Group Publishing Limited 2010 Cluster analysis Managers Decision making Location decisions are some of the most costly...

... supply chain. A case is provided which demonstrates how a logistics company can provide customized service designs for specific target markets and customers. Automotive industry Distribution channels and markets Channel relationships Cluster analysis Charles V. Trappey can be contacted...

... the sample does not necessarily coincide. The firms that answered the questionnaire represent the total population in terms of size (sales volume and number of employees) and sector. © Emerald Group Publishing Limited 2010 Information systems Outsourcing Managers Factor analysis Cluster...

... and four inputs. The non‐parametric DEA estimations are compared with a parametric stochastic frontier approach. The cluster analysis is used to identify three different farm business groups according to their performance. Findings The average technical, scale, allocative and economic efficiencies...

... and Taiwan to explore and compare the similarities and differences of motivations, implementations and certification benefits among these countries. Survey data have been analyzed using the multivariate statistical methods and techniques such as factor analysis, cluster analysis, Kruskal‐Wallis test, etc...