Text-Mining Approach for Evaluation of Affective Management Practices
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.
[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).
[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).
@article{"International Journal of Business, Human and Social Sciences:64538", author = "Masaaki Saito and Qin Tang and Hiroyuki Umemuro", title = "Text-Mining Approach for Evaluation of Affective Management Practices", 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.", volume = "6", number = "12", pages = "3735-8", }