Effects of innovation management system standardization on firms: evidence from text mining annual reports

被引：0
作者：
Gaizka Garechana
Rosa Río-Belver
Iñaki Bildosola
Marisela Rodríguez Salvador
机构：
[1] University of the Basque Country UPV/EHU,Technology Foresight Management (TFM) Group, Department of Industrial Engineering
[2] University of the Basque Country UPV/EHU,Technology Foresight Management (TFM) Group, Department of Industrial Engineering
[3] University of the Basque Country UPV/EHU,Technology Foresight Management (TFM) Group, Automatic Control and System Engineering Department
[4] Tecnológico de Monterrey,Escuela de Ingeniería y Ciencias
来源：
Scientometrics | 2017年 / 111卷
关键词：
UNE 166002; Innovation management; Text mining; Sentiment analysis; Management standards;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.
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页码：1987 / 1999
页数：12
相关论文
共 65 条
[1]  
Anderson S(1999)Why firms seek ISO 9000 certification: Regulatory compliance or competitive advantage? Production and Operations Management 8 28-43
[2]  
Back B(2001)Comparing numerical data and text information from annual reports using self-organizing maps International Journal of Accounting Information Systems 2 249-269
[3]  
Toivonen J(2010)On the predictive ability of narrative disclosures in annual reports European Journal of Operational Research 202 789-801
[4]  
Vanharanta H(2010)Making words work: Using financial text as a predictor of financial events Decision Support Systems 50 164-175
[5]  
Visa A(1996)Innovative genius: a framework for relating individual and organizational intelligences to innovation Academy of Management Review 21 1081-1111
[6]  
Balakrishnan R(2012)Beyond the numbers: mining the annual reports for hidden cues indicative of financial statement fraud Intelligent Systems in Accounting, Finance and Management 19 75-89
[7]  
Qiu XY(2015)Use of web mining in studying innovation Scientometrics 102 653-671
[8]  
Srinivasan P(2012)Relationship between quality management practices and innovation Journal of Operations Management 30 295-315
[9]  
Cecchini M(2004)Combining data and text mining techniques for analysing financial reports Intelligent Systems in Accounting, Finance & Management 12 29-41
[10]  
Aytug H(2006)Do stock market investors understand the risk sentiment of corporate annual reports? SSRN Electronic Journal 29 143-165
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