A business intelligence approach using web search tools and online data reduction techniques to examine the value of product-enabled services
作者：
Highlights：
• We suggest an intuitive business intelligence approach using online textual data.
• We found a difference in service value articulation by Canadian and EU R&D firms.
• Canadian firms focus on market share, service quality and customer satisfaction.
• EU firms focus on product modernization and optimization of customer time/efforts.
• Canadian firms’ focus on collaboration and co-creation aims at product innovation.
摘要
•We suggest an intuitive business intelligence approach using online textual data.•We found a difference in service value articulation by Canadian and EU R&D firms.•Canadian firms focus on market share, service quality and customer satisfaction.•EU firms focus on product modernization and optimization of customer time/efforts.•Canadian firms’ focus on collaboration and co-creation aims at product innovation.
论文关键词：Product-enabled services,Service value attributes,Principal component analysis,K-means clustering,Latent semantic analysis,Online textual data
论文评审过程：Available online 10 June 2015, Version of Record 24 June 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.006
