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• W1203480594 abstract "We provide an analysis of innovation at SAP using bibliometric analysis of patents.A rotation and sort procedure was applied to the text.A frequent itemset analysis was performed using the word occurrence matrix.A blockmodeling algorithm was applied to explore relatedness between terms.We integrate text and network analysis tools to perform bibliometric analysis. Easily accessible patent databases and advances in technology have enabled the exploration of organizational innovation through the analysis of patent records. However, the textual content of patents presents obstacles to gleaning useful information. In this study, we develop an expert system framework that utilizes text and data mining procedures for analyzing innovation through textual patent data. Specifically, we use patent titles representing the innovation activity at one company (SAP) and perform a bibliometric analysis using our proposed framework. Enterprise software, of which SAP is a pioneering developer, must serve a wide assortment of functions for companies in many different industries. In addition, SAP's sole focus is on enterprise software and it is a market leader in the category with substantial patent activity over the last decade. Using our framework to analyze SAP's patent activity provides a demonstration of how our bibliometric analysis can summarize and identify trends in innovation in a large software company. Our results illustrate that SAP has a breadth of innovative activity spread over the three-tier software engineering architecture and a lack of topical repetition indicative of limited depth. SAP's innovation is also seen to emphasize data management and quickly integrate emerging technologies. Results of an analysis on any company following our framework could be used for a variety of purposes, including: to examine the scope and scale of innovation of an organization, to examine the influence of technological trends on businesses, or to gain insight into corporate strategy that could be used to aid planning, investment, and purchasing decisions." @default.
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• W1203480594 date "2015-12-01" @default.
• W1203480594 modified "2023-09-26" @default.
• W1203480594 title "A framework to explore innovation at SAP through bibliometric analysis of patent applications" @default.
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• W1203480594 doi "https://doi.org/10.1016/j.eswa.2015.08.007" @default.
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