کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
508813 865448 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using online textual data, principal component analysis and artificial neural networks to study business and innovation practices in technology-driven firms
ترجمه فارسی عنوان
با استفاده از داده های متنی آنلاین، تجزیه و تحلیل مولفه های اصلی و شبکه های عصبی مصنوعی برای مطالعه فعالیت های تجاری و نوآوری در شرکت های فن آوری مبتنی بر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Combination of web search techniques, principal component, correlation, K-means cluster and self-organizing map analysis.
• A business intelligence method using online textual data to generate insights about firms’ involvement in co-creation and product-enabled services.
• A strong relationship between firms’ degree of involvement in co-creation activities, the articulation of their service value attributes and the perception of their innovativeness.
• Stronger customer integration through appropriate product-enabled services could enhance the benefits for both customers and firms.
• Open source software-driven firms are an example of best practices in terms of co-creation and new product-enabled service development.

In this paper we introduce a method that combines principal component analysis, correlation analysis, K-means clustering and self organizing maps for the quantitative semantic analysis of textual data focusing on the relationship between firms’ co-creation activities, the perception of their innovation and the articulation of the attributes of their product-enabled services. Principal component analysis was used to identify the components of firms’ value co-creation activities and service value attributes; correlation analysis was used to examine the relationship between the degree of involvement in specific co-creation activities, the online articulation of firms’ service value attributes and the perception of their innovativeness. K-means and self organizing map (SOM) are used to cluster firms with regards to their involvement in co-creation and new service development, and, additionally, as complementary tools for studying the relationship between co-creation and new service development.The results show that, first, there is a statistically significant relationship between firms’ degree of involvement in co-creation activities and the degree of articulation of their service value attributes; second, the relationship should be considered within the context of firms’ innovation activities; third, OS Software-driven firms are the best example in terms of co-creation and new product-enabled service development, i.e. the collaborative principles built in their customer participation platforms should be adopted by other (non-software) firms interested in enhancing their innovation capacity through involvement in co-creation and new product-enabled service development.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 74, December 2015, Pages 16–28
نویسندگان
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