IS A POSITIVE DIVERSITY CLIMATE AN ANTECEDENT OF ORGANIZATIONAL REPUTATION? AN EMPLOYEE PERSPECTIVE
Yıl 2020,
Proceedings of The Third Economics, Business And Organization Research (EBOR) Conference, 178 - 190, 31.12.2020
Uzeyir Fıdan
,
Volkan Yuncu
Kaynakça
- Abualigah, L. M., Khader, A. T., & Hanandeh, E. S. (2018). A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Engineering Applications of Artificial Intelligence, 73, 111-125.
- Arnau, V., Mars, S., & Marín, I. (2005). Iterative cluster analysis of protein interaction data. Bioinformatics, 21(3), 364-378.
- Aydın, E. & Ozeren, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda, BMIJ, (2018), 6(3): 650-670 doi: http://dx.doi.org/10.15295/bmij.v6i3.393
- Bear, Stephen & Rahman, Noushi & Post, Corinne. (2010). The Impact of Board Diversity and Gender Composition on Corporate Social Responsibility and Firm Reputation. Journal of Business Ethics. 97. 207-221. 10.1007/s10551-010-0505-2.
- Bishop, C. M. (1995). Neural networks for pattern recognition. Oxford university press.
- Brammer, S., Millington, A. and Pavelin, S. (2009), Corporate Reputation and Women on the Board. British Journal of Management, 20: 17-29. https://doi.org/10.1111/j.1467-8551.2008.00600.x
- Chun, R. (2005). Corporate reputation: meaning and measurement. International Journal of Management Reviews, 7(2), 91–109.
- Cian, L., Cervai, S., (2014), Under the reputation umbrella: An integrative and multidisciplinary review for corporate image, projected image, construed image, organizational identity, and organizational culture, Corporate Communications: An International Journal, 19 (2): 182-199.
- Filatotchev, I. and S. Toms (2003). ‘Corporate governance, strategy and survival in a declining industry: a study of UK cotton textile companies’, Journal of Management Studies, 40,
- Fombrun, C. (1996). Reputation: Realizing Value from the Corporate Image. Cambridge, MA: Harvard Business School Press.
- Fombrun, C. J.; Ponzi, L. J.; Newburry, W. (2015). Stakeholder tracking and analysis: The RepTrak® system for measuring corporate reputation. Corporate Reputation Rewiew, 18(1).
- Gardberg, N. A. and C. J. Fombrun (2002). ‘The Global Reputation Quotient Project: first steps towards a cross- nationally valid measure of corporate reputation’, Corporate Reputation Review, 4, pp. 303–307.
- Gerard George, Linus Dahlander, Scott D. Graffin, and Samantha Sim, 2016: Reputation and Status: Expanding the Role of Social Evaluations in Management Research. AMJ, 59, 1–13, https://doi.org/10.5465/amj.2016.4001
- Harrison, D. A., K. H. Price, J. H. Gavin and A. T. Florey (2002). ‘Time, teams, and task performance: changing effects of surface- and deep-level diversity on group functioning’, Academy of Management Journal, 45, pp. 1029–1045.
- Holmes, O., Jiang, K., Avery, D. R., McKay, P. F., Oh, I.-S., & Tillman, C. J. (2020). A Meta-Analysis Integrating 25 Years of Diversity Climate Research. Journal of Management. https://doi.org/10.1177/0149206320934547
- McKay, P., Avery, D., Tonidandel, S., Morris, M., Hernandez, M. and Hebl, M. (2007), “Racial differences in employee retention: are diversity climate perceptions the key?”, Personnel Psychology, Vol. 60 No. 1, pp. 35-62.
- Kishor, D. R., & Venkateswarlu, N. B. (2016). A novel hybridization of expectation-maximization and K-means algorithms for better clustering performance. International Journal of Ambient Computing and Intelligence (IJACI), 7(2), 47-74.
- Miller, Toyah & Triana, María. (2009). Demographic Diversity in the Boardroom: Mediators of the Board Diversity - Firm Performance Relationship. Journal of Management Studies. 46. 10.1111/j.1467-6486.2009.00839.x.
- Money, Kevin & Saraeva, Anastasiya & Garnelo-Gomez, Irene & Pain, Stephen & Hillenbrand, Carola. (2017). Corporate Reputation Past and Future: A Review and Integration of Existing Literature and a Framework for Future Research. Corporate Reputation Review. 20. 10.1057/s41299-017-0034-3.
- Mor Barak, M. E., Cherin, D. A., & Berkman, S. (1998). Organizational and Personal Dimensions in Diversity Climate: Ethnic and Gender Differences in Employee Perceptions. The Journal of Applied Behavioral Science, 34(1), 82–104. https://doi.org/10.1177/0021886398341006
- Newburry, W. Dimensions, Contexts, and Levels: A Flourishing Reputation Field with Further Advancement to Come. Corp Reputation Rev 20, 183–185 (2017). https://doi.org/10.1057/s41299-017-0026-3
- Owen, D. M., Rentero, C., Rossy, J., Magenau, A., Williamson, D., Rodriguez, M., & Gaus, K. (2010). PALM imaging and cluster analysis of protein heterogeneity at the cell surface. Journal of biophotonics, 3(7), 446-454.
- Pelleg, D., & Moore, A. W. (2000, June). X-means: Extending k-means with efficient estimation of the number of clusters. In Icml (Vol. 1, pp. 727-734). pp. 895–920.
- Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of marketing research, 20(2), 134-148.
- Randel, A. E. and K. S. Jaussi (2003). ‘Functional background identity, diversity and individual performance in cross- functional teams’, Academy of Management Journal, 46, pp. 763–774.
- Rindova, V.P., and L.L. Martins. 2012. Show me the money: A multidimensional perspective on reputation as an intangible asset. In The oxford handbook of corporate reputation, ed. M.L. Barnett, and T.G. Pollock, 16–33. Oxford, UK: Oxford University Press.
- Schultz, M. (2017). Corporate Reputation From Within. Corporate Reputation Review, 20(3-4), 171–172. https://doi.org/10.1057/s41299-017-0037-0
- Tan, P. N., Steinbach, M., & Kumar, V. (2013). Data mining cluster analysis: basic concepts and algorithms. Introduction to data mining, 487-533.
- Walker, K. (2010). A systematic review of the corporate reputation literature: Definition, measurement, and theory. Corporate Reputation Review. 12(4).
- Wartick, S.L., (2002), Measuring corporate reputation definition and data, Business & Society, 41 (4): 371-392.
- Whetten, D. A., Mackey, A., (2002), A social actor conception of organizational identity and its implications for the study of organizational reputation, Business & Society, 41 (4): 393-414.
IS A POSITIVE DIVERSITY CLIMATE AN ANTECEDENT OF ORGANIZATIONAL REPUTATION? AN EMPLOYEE PERSPECTIVE
Yıl 2020,
Proceedings of The Third Economics, Business And Organization Research (EBOR) Conference, 178 - 190, 31.12.2020
Uzeyir Fıdan
,
Volkan Yuncu
Öz
The purpose of this paper is to fill the gap in the reputation literature on employee views of organizational reputation by taking employees’ perceptions of workplace diversity climate as the antecedents of perceived organizational reputation, thereby making a perceived organizational reputation profile extraction. 403 respondents participated in the empirical research assessing employees’ perceptions of organizational discrimination, workplace diversity and organizational reputation. To reveal the hidden relationships among the three scales, obtained data was analyzed utilizing cluster analysis. Focusing on assessing the reputation of an organization from employees’ perspective, this study is the first attempt to investigate the effect of employees’ perceptions of workplace diversity climate on their perceptions of organizational reputation. As well as enhancing the theoretical framework to assess the employee views of organizational reputation, this study aims at modelling employee perceptions multi-dimensionally through data mining techniques. It was observed that a positive diversity climate that is directly experienced in the workplace has a pronounced effect on employee’s organizational reputation perceptions.
Kaynakça
- Abualigah, L. M., Khader, A. T., & Hanandeh, E. S. (2018). A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Engineering Applications of Artificial Intelligence, 73, 111-125.
- Arnau, V., Mars, S., & Marín, I. (2005). Iterative cluster analysis of protein interaction data. Bioinformatics, 21(3), 364-378.
- Aydın, E. & Ozeren, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda, BMIJ, (2018), 6(3): 650-670 doi: http://dx.doi.org/10.15295/bmij.v6i3.393
- Bear, Stephen & Rahman, Noushi & Post, Corinne. (2010). The Impact of Board Diversity and Gender Composition on Corporate Social Responsibility and Firm Reputation. Journal of Business Ethics. 97. 207-221. 10.1007/s10551-010-0505-2.
- Bishop, C. M. (1995). Neural networks for pattern recognition. Oxford university press.
- Brammer, S., Millington, A. and Pavelin, S. (2009), Corporate Reputation and Women on the Board. British Journal of Management, 20: 17-29. https://doi.org/10.1111/j.1467-8551.2008.00600.x
- Chun, R. (2005). Corporate reputation: meaning and measurement. International Journal of Management Reviews, 7(2), 91–109.
- Cian, L., Cervai, S., (2014), Under the reputation umbrella: An integrative and multidisciplinary review for corporate image, projected image, construed image, organizational identity, and organizational culture, Corporate Communications: An International Journal, 19 (2): 182-199.
- Filatotchev, I. and S. Toms (2003). ‘Corporate governance, strategy and survival in a declining industry: a study of UK cotton textile companies’, Journal of Management Studies, 40,
- Fombrun, C. (1996). Reputation: Realizing Value from the Corporate Image. Cambridge, MA: Harvard Business School Press.
- Fombrun, C. J.; Ponzi, L. J.; Newburry, W. (2015). Stakeholder tracking and analysis: The RepTrak® system for measuring corporate reputation. Corporate Reputation Rewiew, 18(1).
- Gardberg, N. A. and C. J. Fombrun (2002). ‘The Global Reputation Quotient Project: first steps towards a cross- nationally valid measure of corporate reputation’, Corporate Reputation Review, 4, pp. 303–307.
- Gerard George, Linus Dahlander, Scott D. Graffin, and Samantha Sim, 2016: Reputation and Status: Expanding the Role of Social Evaluations in Management Research. AMJ, 59, 1–13, https://doi.org/10.5465/amj.2016.4001
- Harrison, D. A., K. H. Price, J. H. Gavin and A. T. Florey (2002). ‘Time, teams, and task performance: changing effects of surface- and deep-level diversity on group functioning’, Academy of Management Journal, 45, pp. 1029–1045.
- Holmes, O., Jiang, K., Avery, D. R., McKay, P. F., Oh, I.-S., & Tillman, C. J. (2020). A Meta-Analysis Integrating 25 Years of Diversity Climate Research. Journal of Management. https://doi.org/10.1177/0149206320934547
- McKay, P., Avery, D., Tonidandel, S., Morris, M., Hernandez, M. and Hebl, M. (2007), “Racial differences in employee retention: are diversity climate perceptions the key?”, Personnel Psychology, Vol. 60 No. 1, pp. 35-62.
- Kishor, D. R., & Venkateswarlu, N. B. (2016). A novel hybridization of expectation-maximization and K-means algorithms for better clustering performance. International Journal of Ambient Computing and Intelligence (IJACI), 7(2), 47-74.
- Miller, Toyah & Triana, María. (2009). Demographic Diversity in the Boardroom: Mediators of the Board Diversity - Firm Performance Relationship. Journal of Management Studies. 46. 10.1111/j.1467-6486.2009.00839.x.
- Money, Kevin & Saraeva, Anastasiya & Garnelo-Gomez, Irene & Pain, Stephen & Hillenbrand, Carola. (2017). Corporate Reputation Past and Future: A Review and Integration of Existing Literature and a Framework for Future Research. Corporate Reputation Review. 20. 10.1057/s41299-017-0034-3.
- Mor Barak, M. E., Cherin, D. A., & Berkman, S. (1998). Organizational and Personal Dimensions in Diversity Climate: Ethnic and Gender Differences in Employee Perceptions. The Journal of Applied Behavioral Science, 34(1), 82–104. https://doi.org/10.1177/0021886398341006
- Newburry, W. Dimensions, Contexts, and Levels: A Flourishing Reputation Field with Further Advancement to Come. Corp Reputation Rev 20, 183–185 (2017). https://doi.org/10.1057/s41299-017-0026-3
- Owen, D. M., Rentero, C., Rossy, J., Magenau, A., Williamson, D., Rodriguez, M., & Gaus, K. (2010). PALM imaging and cluster analysis of protein heterogeneity at the cell surface. Journal of biophotonics, 3(7), 446-454.
- Pelleg, D., & Moore, A. W. (2000, June). X-means: Extending k-means with efficient estimation of the number of clusters. In Icml (Vol. 1, pp. 727-734). pp. 895–920.
- Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of marketing research, 20(2), 134-148.
- Randel, A. E. and K. S. Jaussi (2003). ‘Functional background identity, diversity and individual performance in cross- functional teams’, Academy of Management Journal, 46, pp. 763–774.
- Rindova, V.P., and L.L. Martins. 2012. Show me the money: A multidimensional perspective on reputation as an intangible asset. In The oxford handbook of corporate reputation, ed. M.L. Barnett, and T.G. Pollock, 16–33. Oxford, UK: Oxford University Press.
- Schultz, M. (2017). Corporate Reputation From Within. Corporate Reputation Review, 20(3-4), 171–172. https://doi.org/10.1057/s41299-017-0037-0
- Tan, P. N., Steinbach, M., & Kumar, V. (2013). Data mining cluster analysis: basic concepts and algorithms. Introduction to data mining, 487-533.
- Walker, K. (2010). A systematic review of the corporate reputation literature: Definition, measurement, and theory. Corporate Reputation Review. 12(4).
- Wartick, S.L., (2002), Measuring corporate reputation definition and data, Business & Society, 41 (4): 371-392.
- Whetten, D. A., Mackey, A., (2002), A social actor conception of organizational identity and its implications for the study of organizational reputation, Business & Society, 41 (4): 393-414.