مسئولیت پذیری اجتماعی شرکت‌های معدنی سنگ آهن استان یزد | ||
| کاوش‌های مدیریت بازرگانی | ||
| مقاله 11، دوره 13، شماره 25، شهریور 1400، صفحه 297-329 اصل مقاله (1.51 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/bar.2021.12792.3264 | ||
| نویسندگان | ||
| محسن عسکری1؛ علیرضا ناصرصدرآبادی* 2؛ سیدحیدر میرفخرالدینی3؛ علی مروتی شریف آبادی4 | ||
| 1دانشجوی دکتری مدیریت صنعتی، دانشکده اقتصاد،مدیریت وحسابداری، دانشگاه یزد | ||
| 2استادیار بخش مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد | ||
| 3دانشیار بخش مدیریت صنعتی، دانشکده اقتصاد، مدیریت و حسابداری، دانشگاه یزد | ||
| 4دانشیار بخش مدیریت صنعتی، دانشکده اقتصاد، مدیریت وحسابداری، دانشگاه یزد | ||
| چکیده | ||
| گسترش و توسعة روزافزون مؤسسات و سازمانهای مختلف و افزایش شدید رقابت میان آنان سبب شده است که آنها برای بقای خود تنها به منافع سازمانی خود بیندیشند و بعضا به مسئولیت اجتماعی خود توجهی ندارند. هدف مقاله حاضر شناسایی و رتبهبندی عوامل موثر بر مسئولیت پذیری اجتماعی شرکت‌های معدنی سنگ آهن می باشد. به منظور تحقق این هدف، ابتدا از طریق مصاحبه با گروه‌های خبره از 9 شرکت معدنی سنگ آهن استان یزد، شاخصها و ابعاد با روش تحلیل محتوا استخراج گردید. ابعاد شامل ایمنی و سلامت، قانونی، اخلاقی، زیست محیطی، نوع دوستی و اقتصادی می باشد. با استفاده از مدلسازی ساختاری تفسیری (ISM) به بررسی ابعاد پرداخته شد و سپس با استفاده از تکنیک نگاشت شناختی فازی ارتباط شاخصها مشخص شده که شاخص‌های « تلاش برای کاهش آسیب رساندن به محیط زیست»، «تلاش برای کاهش گازهای سمی و گلخانه ای»، «افزایش رضایت و انگیزش در کارکنان»، «توسعه و ارتقای دانش و فرهنگ جامعه» و «ارائه اطلاعات واقعی در مورد کار و ضررهای ناشی از آن» دارای بالاترین وزن در مدل رتبهبندی قرار گرفتند. سپس با نرم افزار FCMAPPER رتبهبندی شاخصها صورت پذیرفت. در پایان با روش میک مک شدت تاثیر شاخصها بر یکدیگر از طریق نرم افزار مربوطه محاسبه گردید که شاخص‌های «حمایت از اقدامات داوطلبانه کارکنان در فعالیت‌های اجتماعی»، «تلاش برای کاهش گازهای سمی و گلخانه‌ای» و «شفافیت در قراردادها با پیمانکاران» در گروه شاخص‌های تاثیر گذار قرار گرفتند. | ||
| کلیدواژه‌ها | ||
| مسئولیت اجتماعی شرکت؛ تحلیل محتوا؛ نگاشت شناختی فازی؛ مدلسازی ساختاری تفسیری | ||
| عنوان مقاله [English] | ||
| Identifying, explaining, and ranking the factors affecting the social responsibility of iron ore mining companies in Yazd Province | ||
| نویسندگان [English] | ||
| Mohsen Askari1؛ Alireza Naser Sadrabadi2؛ Seyed Heydar Mirfakhredini3؛ Ali Morovati Sharifabadi4 | ||
| 1Ph.D. Student of industrial management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| 2Assistant Professor and Faculty Member of Industrial Management Department, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| 3Associate Professor and member of the faculty of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| 4Associate Professor and member of the faculty of Industrial Management, Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran | ||
| چکیده [English] | ||
| Introduction: The growth and development of various institutions and organizations as well as a rising trend in competitions among these entities have made them reflect on their organizational interests to survive in the business world. Due to the rising importance of our global interdependence, some concepts like corporate social responsibility (CSR) have a significant role in this dynamic and flourishing industry composed of lodging, transportation, and so on. Accordingly; any small decisions or actions occurring in one of these centers, regardless of their direct effects on the desired sectors, can gradually have direct and indirect, hidden and obvious as well as tangible and intangible impacts on every sector in the society and, consequently, lead to a series of actions and reactions at all levels. Studies have shown that social responsibility is one of the best tools for gaining public legitimacy and competitive advantage. According to this, social responsibility means the responsibility or commitment of a person or organization to social concepts such as individuals or the physical environment around them. Thus, the purpose of this study is to identify, explain and rank the factors affecting the corporate social responsibility (CSR) of the iron ore mining companies in Yazd Province. Methodology: A combination of qualitative and quantitative methods was employed in this study. The research procedure started with studying the theoretical foundations to identify the factors affecting the CSR ranking of the iron ore mining companies in Yazd Province, Iran. Accordingly, attempts were made to review the most important factors and indicators affecting the CSR ranking by the explanation of some selected experts and through the study and review of the resources available in this area, including the existing models and theories in this field. The Corporate Social Responsibility (CSR) indicators and dimensions were extracted using the content analysis of the interviews with the expert groups from a total number of nine iron ore mining companies in Yazd Province, Iran. Then, the dimensions were analyzed using interpretive structural modeling (ISM). The relations among the indicators were also determined via a Fuzzy Cognitive Map, and, subsequently, they were ranked through an FC Mapper. In the end, the intensity of the impact of the indicators on one another was calculated through the Mic Mac technique. Results and Discussion: At the first step of the study, a qualitative research methodology was implemented through meetings and interviews with the selected experts of the iron ore mining companies of Yazd Province. The concepts associated with CSR were explained, the key statements based on the identifiers (codes) were registered, and they were consequently introduced as open codes. Regarding the content analysis, after the review of the open codes, the statements with overlapping concepts and meanings were incorporated, and then the dimensions were identified as the axial codes. After that, the content analysis was performed of the interviews with the expert groups from a total number of nine iron ore mining companies. The analyzed dimensions included safety and health as well as legal, ethical, environmental, philanthropic, and economic aspects. The dimensions were analyzed by interpretive structural modeling (ISM) at five levels. At the first level, there was the economic dimension. The second level was for the environmental and philanthropic dimensions. At the third level, there was the ethical dimension. The fourth level belonged to safety and health, and the fifth level was the legal dimension. So, the relations among the indicators were determined via a fuzzy cognitive map. Creating an FCM model requires inputs that come from the experience and knowledge of experts in the field. In FCM models, the accumulated experiences of individuals with update knowledge in the field, for which the model was drawn, are integrated, and cause-and-effect relationships are established among the factors that make up the system. Subsequently, they were ranked through an FC Mapper. The factors ranked the highest were "striving to reduce harm to the environment", "striving to reduce toxic and greenhouse gases", "increasing employee satisfaction and motivation", "developing and promoting community knowledge and culture" and "providing real-time information about the work and the disadvantages resulting from it”. In the end, the severity of the effects of the variables on one another was also calculated through MicMac. Accordingly, the indicators of “Supporting voluntary involvement of employees in social activities”, “Efforts to reduce toxic and greenhouse gases”, and “Transparency in signing contracts with contractors” were considered as effective ones. Also, the dichotomous indicators with very high capacity to become key actors within the system included “Respect for contractual obligations” and “Increase in employee satisfaction and motivation”. The indicators influenced were “Attention to employees’ working conditions”, “Provision of factual information about work and its resulting damage,” “Efforts to reduce damage to the environment,” “Development and promotion of community knowledge and culture” as well as “Attention to customer satisfaction”. The remaining indicators were placed in the independent group. Conclusion: This research can be beneficial to governments, researchers and organizations because it helps them to understand the indicators based on corporate social responsibility so as to be persuaded to fulfill their commitment to the society. | ||
| کلیدواژه‌ها [English] | ||
| Corporate social responsibility, Content analysis, Fuzzy cognitive mapping, Interpretive structural modeling | ||
| مراجع | ||
|
Ardalan, M.R., Ghanbari, S., Beheshti-Rad, R, Navidi, P. (2015). Investigation of the relationship between social capital, social responsibility, and organizational
Educational Measurement and Evaluation Studies, 109-132.
Asayesh, F., Feizpour, M.A. (2014). Development in Iran and its comparison with countries in the region: Vision Document. Journal of Parliament and Strategy, 21(78), 85-119.
Bakhshi, H., Jalaeian, V. (2016). Content Analysis Guide, Academic Center for Education, Culture, and Reserach, First Ed.
Hasas-Yeganeh, Y., Barzegar, G. (2013). Developing components and indicators of corporate social responsibility and its current status in Iran. Quarterly Journal of Social-Cultural Development Studies, 2 (1), 209-234.
Seyyedjavadain, R., Hashemi, M., Mahmoudain, O. (2016). Providing a model to explain corporate social responsibility of oil and gas companies using interpretive structural modeling. Governmental Management, 75-92.
Salehi-Omran, I., Fatemi, A., Hassanzadeh Barani Kord, S. (2012). Examining the importance of corporate social responsibility indicators in industrial centers and universities. Higher Education in Iran, 1-35.
Senowbar, N., Baz-Mohammadi, S. (2017). Applications of analytical methods of gray relation entropy in corporate social responsibility ranking: Evidence of Iranian pharmaceutical companies. Industrial Management Studies, 15 (44), 51-74.
Fayyazi-Azad, A., Rahmati, M.H., Khannifar, H. (2016). Designing a model for factors affecting social responsibility in Iran’s National Oil Company. Social Capital Management, 4 (2), 181-197.
Ghasemi-Hosseinabadi, F. (2016). Corporate social responsibility and how to measure it. Bi-Monthly of Applied Studies in Science Management and Development, 1 (2).
Nowrouzi, M.R., Danaeefard, H., Asghar-Fani, A., Hasanzadeh, A. (2014). Theoretical processing of corporate social responsibility based on grounded theory. Improved Management, 8 (26).
Aluchna, M. (2010). Corporate social responsibility of the top ten; examples taken from the Warsaw Stock Exchange. Social Responsibility Journal, 6 (4), 611-626.
Castka, P & Balzarova, A, M (2007). "ISO 26000 and Supply Chains – on the Diffusion of the Social Responsibility Standards". International Journal of Production Economics. Vol. 111, pp. 274-286.
Davis, K. (1975), Five Propositions for Social Responsibility, Business Horizons
Freeman, R. E. (1998), “A stakeholder theory of the modern corporation”, in Pincus, L. B. (Ed.), Perspectives in business ethics, McGraw-Hill, Singapore.
Gao, Y. (2011) CSR in an emerging country: a content analysis of CSR reports of listed companies, Baltic Journal of Management, 6, 2011, 263-291.
Harrison, Jeffrey & Freeman, R. (1999). Stakeholders, social responsibility, and performance: Empirical evidence and theoretical perspectives. The Academy of Management Journal. 42. 479-487. 10.2307/256971.
Hirigoyen, G., & Poulain-Rehm, T. (2014). The corporate social responsibility of family businesses: An international approach.International Journal of Financial Studies, 2, 240-265.
John, M. & et al. 2006. Corporate Social Responsibility: The 3C-SR Model. International Journal of Social Economics.33:5-6.
Kitzmueller, M., & Shimshack, J. (2012). Economic perspectives on corporate social responsibility. Journal of Economic Literature, 50(1),51 - 84.
Kosko, B. (1988). Hidden patterns in combined and adaptive knowledge networks, International Journal of Approximate Reasoning, Vol. 2, no. 4, pp. 377
Lantos, G. P. (2001) “The boundaries of strategic corporate social responsibility”, Journal of Consumer Marketing, Vol. 18 No. 7, pp. 595-630.
Laura Albareda; Josep M. Lozano and Tamyko Ysa (2007), "Public Policies on Corporate Social Responsibility: The Role of Governments in Europe", Journal of Business Ethics, No. 74, PP.391-407.
Levitt, T. (1958) “The Dangers of Social Responsibility”, Harvard Business Review, Vol. 33 No. 5, pp. 41-50.
Mills, M. B. and M. Huberman (1994), Qualitative Data Analysis: Sourcebook of New Methods, London: Sage Publications Ltd.
Norman, W. & MacDonald, C. (2009). Getting to the bottom of triple bottom- line. Business Ethics Quarterly March, 1(1): 1-19.
Rodriguez-Repiso, L. (2005). Indicators of Success for IT Projects.Case Study. MSc Systems Engineering with IT Applications. Cardiff University.
Selden, L. (2005). “On grounded theory - with some malice”. Journal of Documentation, 61(1), 114-129.
Valmohammadi, C. (2014). Impact of corporate social responsibility practices on organizational performance: an ISO 26000 perspective. Social Responsibility Journal, 10(3),455 -479.
Wood, D.J. (1991) Corporate Social Performance Revisited. The Academy of Management Review, 16, 691-718. | ||
|
آمار تعداد مشاهده مقاله: 542 تعداد دریافت فایل اصل مقاله: 422 |
||