Text-Mining Approach for Evaluation of Affective Management Practices

Authors: Masaaki Saito, Qin Tang, Hiroyuki Umemuro

Abstract:

The purpose of this paper is to propose a text mining approach to evaluate companies- practices on affective management. Affective management argues that it is critical to take stakeholders- affects into consideration during decision-making process, along with the traditional numerical and rational indices. CSR reports published by companies were collected as source information. Indices were proposed based on the frequency and collocation of words relevant to affective management concept using text mining approach to analyze the text information of CSR reports. In addition, the relationships between the results obtained using proposed indices and traditional indicators of business performance were investigated using correlation analysis. Those correlations were also compared between manufacturing and non-manufacturing companies. The results of this study revealed the possibility to evaluate affective management practices of companies based on publicly available text documents.

Keywords: Affective management, Affect, Stakeholder, Text mining.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085243

References:

[1] H. Umemuro, "Affective technology, affecitve management, towards affective society," In Human-Computer Interaction, Part III, HCII, J.A. Jacko, Ed. Berlin Heidelberg, Springer, 2009, pp.683-692.
[2] S. Bahn, C. Lee, C.S. Nam, and M.H. Yun, "Incorporating affective customer needs for luxuriousness into product design attributeds," Hum. Factors Ergon. Manuf., vol. 19(2), 2009, pp.105-127.
[3] N. Millard, "Learning from the ÔÇÿwow- factor - how to engage customers through the design of effective affective customer experiences," BT Tech. J., vol. 24(1), 2006, pp.11-16.
[4] R. Cropanzano, K. James, and M.A. Konovsky, "Dispositional affectivity as a predictor of work attitudes and job performance," J. Organ.Behav.,vol 14, 1993, pp.595-606.
[5] A.M. Isen, K.A. Daubman, and G.P. Nowicki, "Positive affect facilities creative problem solving," J. Pers. Soc. Psychol., vol. 52, 1987, pp.1122-1131.
[6] W. Authayarat, H. Umemuro, K. Murata, and A. Jiamsanguanwong, "Development of affective management concept and scorecard," in Proc. 2011 Int. Conf. on Business, Engineering and Industrial
[7] M. Kida, How to Use the Text Mining: Applications for Business Research. Tokyo: Hakuto-Shobo Publishing Company, 2008 (in Japanese).
[8] M. Kida, "A Cognitive study on the Organizational Revolution of Asahi", Organ. Sci., vol. 39, pp. 79-92.
[9] E. Kloptchenko, T. Eklund, J. Karlsson, B. Back, H. Vanharanta, and A. Visa, "Combining data and text mining techniques for analyzing financial reports", Int. J. Intell. Syst. Account. Finance Manag, vol. 12, pp. 29-41.
[10] M. Clatworthy, and M. J. Jones, "Financial reporting of good news and bad news: evidences from accounting narratives", Account. Bus. Res., vol. 19, pp. 493-511.
[11] Y. Kitora, "Relationship between corporate posture toward disclosure as part of corporate social responsibility and disclosures on corporate websites: a text mining approach", Account. Progress, vol. 10, 28-42.
[12] Data Base of Social/Environmental Reports (n.d.). Retrieved February 7, 2011. From http://www.ecorepo.com/
[13] CSR Libarary.net (n.d.). Retrieved January 20, 2011, from http://csrtoshokan. net/
[14] A. Nakamura, Dictionary of Emotional Expression 13th ed. Tokyo: Tokyodo Shuppan, 2008 (in Japanese).
[15] Weblio Dictionary of Synonyms (n.d.). Retrieved January 31, 2011, from http://thesaurus.weblio.jp/
[16] Japan Company Hand Book for Job Hunting 2012. Tokyo: Toyo Keizai Inc., 2011 (in Japanese).