بهبود فرایندهای نظام مدیریت استعداد در پرتو سرمایه اجتماعی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت، مدیریت منابع انسانی، دانشکده مدیریت و اقتصاد، دانشگاه سیستان و بلوچستان، زاهدان، ایران

2 کارشناسی ارشد مدیریت، دانشکده مدیریت و اقتصاد، دانشگاه سیستان و بلوچستان، زاهدان، ایران.

چکیده

جذب، نگهداری و حفظ سرمایه‌های انسانی، مهم‌ترین دغدغه‌ی مدیران در سازمان‌های کنونی است. از طرفی وجود سرمایه اجتماعی در هر مجموعه‌ای منجر به ایجاد فضای آرام، حمایتی و ارتقاء احساس تعلق افراد به یکدیگر خواهد شد. این پژوهش، باهدف بررسی نقش حمایتی سرمایه اجتماعی در بهبود و موفقیت فرایندهای مدیریت استعداد در بین کارکنان کارخانه‌ی سیمان خاش اجرا گردید. روش تحقیق از حیث هدف، کاربردی و از حیث شیوه‌ی جمع‌آوری داده‌ها توصیفی – همبستگی می‌باشد. جامعه‌ی آماری این پژوهش شامل کلیه کارکنان کارخانه سیمان خاش به تعداد 274 نفر بود که بر طبق جدول مورگان 160 نفر با روش نمونه‌گیری تصادفی ساده انتخاب شدند. داده‌های جمع‌آوری‌شده با روش حداقل مربعات جزئی و نرم‌افزار پی اِل اس (PLS) تحلیل شد. نتایج تحقیق بیانگر این بود که سرمایه اجتماعی نقش مثبت و مؤثری بر فرایندهای مدیریت استعداد دارد و با بهبود سرمایه اجتماعی، اجرای نظام مدیریت استعداد با موفقیت بیشتری همراه خواهد بود.

کلیدواژه‌ها


عنوان مقاله [English]

Improving Talent Management System Processes by Social Capital

نویسندگان [English]

  • Mohsen Yaghoubi 1
  • Abdolbaset Piri YousefAbadi 2
1 Ph.D Candidate of Management, Human Resources Management, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran.
2 Master of Public Administration graduate of the University of Sistan and Baluchestan. , Zahedan, Iran.
چکیده [English]

                                    
   
Introduction 
  Talent management can be described as the process through which organizations anticipate their talents needs and is the critical factor in the success of organizations, as well as one of the most important and challenging challenges of human capital in the 21st century which has a growing trend. Despite many studies of talent management in recent years, existing knowledge about this concept is limited in countries with developing economies. On the other hand, most articles in this field are conceptual and few empirical studies have been done. As a result, investigating talent management using an empirical approach, in a private context (Khash Cement Company), is important that the present study addresses.
One of the ways organizations use to maintain talents is the creation of cohesion and communication between the workforce in the organization, which in the field of management and social science is called social capital. In the absence of social capital, other assets of the organization, including human capital, loses its effectiveness and rushes through the paths of cultural and economic development, ruggedness and difficulty.
In this research, the role of social capital in improving talent management is experimentally investigated.
Theoretical framework
Social capital values people's relationships and often this logical relationship is lost in HR management. It is expected that social relationships will enhance identity and cognition, and network structures will facilitate the talent management process in the organization. Considering the existing models related to talent management, in this research, the following dimensions are considered as components of talent management (Ahmadi et al., 2012): Recruitment, The system of evaluation and discovery of talents, Development and improvement, Retention. Moreover, social capital consisted three dimensions named: relational, cognitive, and structural  (Nahapiet & Ghoshal, 1998)
Methodology
The research method is applied and the technique of data analysis is descriptive-correlational. The statistical population of this research included all employees of Khash Cement Factory, which was 274 people. According to Morgan table, 160 people were selected by simple random sampling.
Data Analysis and Findings
In this research, the second-generation method of structural equation modeling (e.g. partial least squares method (PLS)) is used.
Fittness of measurement model
Fit the model is examining the difference between the proposed model and the actual model. In order to measure the fittness of the model, factor loadings of the measurement model were first calculated and all were more than 0.5 that are suitable.
1) Cronbach's alpha  and Combined Reliability
The PLS method uses a more modern benchmark than alpha, known as Combined Reliability (CR). The values for both criteria in this study was higher than 0.7, which indicates that the model is reliable.
2) Convergent Validity
The second criterion is fitness of measurement model. This criterion (AVE) represents the average of the variance shared between each structure with its own indices, and the greater the correlation, the greater is the fitness. The mean value of the extracted variance (AVE) is always greater than 0.5 and the combined value of the combined reliability (CR) is greater than AVE, so convergent validity is also confirmed.
3) Divergent Validity
The third measurement criterion of fitting of the measurement model is discriminant validity. It uses correlation matrix (Fornell-Larcker). This matrix is the ratio of a structure to its indexes in comparison of its structure with other structures. This matrix has acceptable divergent validity if the numbers in the original diameter are greater than the values below its original diameter. The results of this matrix confirmed the suitable divergent validity.
Fittness of the structural model
1)Z significant coefficients (t-values)
The first criterion for measuring the relationship between structures is in the significant t-values. Significant coefficients indicate whether the research hypotheses are meaningful or not? Path coefficients of the variables are outside the absolute magnitude range of 1.96, so at the level of 95% confidence, the relationships between the variables is significant and research hypotheses are confirmed.
2)R2 criterion
A measure used to connect the measurement part and the structural part of the structural equation modeling and indicates the effect that an exogenous variable has on an intrinsic variable. Except two dimensions (evaluation and absorption), R2 values were above 0.67 that are considered strong.
3)Q2 criterion
This criterion, determines the predictive power of the model in the model's intrinsic structures. The values of this criterion for most variables are higher than 0.35 and represent the strong predictive power of the model.
Overall Model fit (The goodness of Fit (GOF))
In Partial Least Squares, this criterion is the most important index of model fit, and by this criterion, the fit of the general model of structural equations is controlled.
The results show that the value of this criterion is higher than 0.36 which indicates the overall and robust fit of the model (the success of the model tested in the prediction of latent variables).
Testing research hypotheses
After reviewing the fitting of the structural and overall measurement model, the researcher is allowed to test the hypotheses and report the research findings.
Discussion and Conclusion
The purpose of this study was to investigate the role of social capital in talent management systems in Khash Cement Company. The role of social capital as a influential factor for describing the relative success of the companies is confirmed by a large number of scientists. The results of this research also show that the improvement of social capital in the organization influences the development of talent management process. The existence of social capital in an organization and the effective interaction among individuals will improve talent management (attraction, assessment and discovery of talent, development, training, and retention).
However, to generalize the results of talent management studies from one country or context to another, it is necessary to pay attention to conditions such as economical and social circumstances.

کلیدواژه‌ها [English]

  • Social Capital
  • Talent Management
  • employees
  • Cement Factory

1-Ahmadi, A., Farahani, A., Bahmani Choubasti, A., & Shahbazi, M. (2012). The Role of Social Capital In Developing Talent Management in Physical Education Organization. Sport Management Studies, 4(13), 237-260 (in Persian).

2-Ballout, H. I. (2007). Career success: The effects of human capital, person-environment fit and organizational support. Journal of Managerial Psychology, 22(8), 741-765.

3-Cappelli, P., & Keller, J. (2014). Talent management: Conceptual approaches and practical challenges. Annu. Rev. Organ. Psychol. Organ. Behav., 1(1), 305-331.

4-Chabault, D., Hulin, A., & Soparnot, R. (2012). Talent management in clusters. Organizational Dynamics, 4(41), 327-335.

5-Coleman, J. S. (1988). Social capital in the creation of human capital. American journal of sociology, 94, S95-S120.

6-Collings, D. G., & Mellahi, K. (2009). Strategic talent management: A review and research agenda. Human Resource Management Review, 19(4), 304-313.

7-Collings, D. G., Scullion, H., & Vaiman, V. (2011). European perspectives on talent management. European Journal of International Management, 5(5), 453-462.

8-Davari, A., & Rezazadeh, A. (2015). Structural equation modeling with PLS. Tehran: Jahad Daneshgahi Organization (in Persian).

9-Davoudi, S., Yaghoubi, N. M., & Imani, A. (2018). Designing a Comprehensive Model of Talent Identification and Replacement of the Higher Education System in Sistan and Baluchestan Province. Public Management Research, 10(38), 251-276 (in Persian).

10-Davoudi, S. A., Imani, A., Yazdani, B., & Yaghoubi, N. (2017). Identifying and Explaining the Components and Driving Factors Affecting Talent and Succession in the Higher Education System of Sistan and Balouchestan Province using the Mick Mac Method Social-cultural Strategy Journal, 6(24), 235-261 (in Persian).

11-Deghati, A., Mohammadi, M., & Yaghoubi, M. (2017). Identifying the Base of Attraction of Human Force in Medical Science University of Birjand City. Public Management Research, 10(37), 157-175 (in Persian).

12-Dries, N. (2013). The psychology of talent management: A review and research agenda. Human Resource Management Review, 23(4), 272-285.

13-Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.

14-Gallardo-Gallardo, E., & Thunnissen, M. (2016). Standing on the shoulders of giants? A critical review of empirical talent management research. Employee Relations, 38(1), 31-56.

15-Gibb, S., & Zhang, S. (2017). Guanxi influence and talent management in Chinese organisations; evidence from the real estate sector. Human Resource Development International, 20(1), 79-98.

16-Glaister, A. J., Karacay, G., Demirbag, M., & Tatoglu, E. (2018). HRM and performance—The role of talent management as a transmission mechanism in an emerging market context. Human Resource Management Journal, 28(1), 148-166.

17-Gold, J., Oldroyd, T., Chesters, E., Booth, A., & Waugh, A. (2016). Exploring talenting: talent management as a collective endeavour. European Journal of Training and Development, 40(7), 513-533.

18-Kim, S., Mori, I., & Rahim, A. R. A. (2018). Cultural values matter: Attractiveness of Japanese companies in Malaysia. International Journal of Cross Cultural Management, 18(1), 87-103.

19-Krause, D. R., Handfield, R. B., & Tyler, B. B. (2007). The relationships between supplier development, commitment, social capital accumulation and performance improvement. Journal of operations management, 25(2), 528-545.

20-Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.

21-Latukha, M. O. (2018). Can Talent Management Practices Be Considered as a Basis for Sustainable Competitive Advantages in Emerging‐Market Firms? Evidence from Russia. Thunderbird International Business Review, 60(1), 69-87.

22-Lin, N. (2002). Social capital: A theory of social structure and action (Vol. 19): Cambridge university press.

23-Mahadevan, J., & Kilian-Yasin, K. (2017). Dominant discourse, orientalism and the need for reflexive HRM: Skilled Muslim migrants in the German context. The International Journal of Human Resource Management, 28(8), 1140-1162.

24-Makarius, E. E., & Srinivasan, M. (2017). Addressing skills mismatch: Utilizing talent supply chain management to enhance collaboration between companies and talent suppliers. Business Horizons, 60(4), 495-505.

25-McDonnell, A., Collings, D. G., Mellahi, K., & Schuler, R. (2017). Talent management: a systematic review and future prospects. European Journal of International Management, 11(1), 86-128.

26-Mensah, J. K. (2015). A “coalesced framework” of talent management and employee performance: For further research and practice. International Journal of Productivity and Performance Management, 64(4), 544-566.

27-Mensah, J. K. (2018). Talent Management and Employee Outcomes: A Psychological Contract Fulfilment Perspective. Public Organization Review, 1-20.

28-Muratbekova‐Touron, M., Kabalina, V., & Festing, M. (2018). The phenomenon of young talent management in Russia—A context‐embedded analysis. Human Resource Management, 57(2), 437-455.

29-Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of management review, 23(2), 242-266.

30-Nayak, S., Bhatnagar, J., & Budhwar, P. (2018). Leveraging Social Networking for Talent Management: An Exploratory Study of Indian Firms. Thunderbird International Business Review.

31-Oppong, N. Y., & Gold, J. (2016). Developing local managers in the Ghanaian mining industry: an indigenous talent model. Journal of Management Development, 35(3), 341-359.

32-Painter‐Morland, M., Kirk, S., Deslandes, G., & Tansley, C. (2018). Talent Management: The Good, the Bad, and the Possible. European Management Review.

33-Phillips, D. R., & Roper, K. O. (2009). A framework for talent management in real estate. Journal of Corporate Real Estate, 11(1), 7-16.

34-Schiemann, W. A. (2014). From talent management to talent optimization. Journal of World Business, 49(2), 281-288.

35-Son, J., Park, O., Bae, J., & Ok, C. (2018). Double-edged effect of talent management on organizational performance: the moderating role of HRM investments. The International Journal of Human Resource Management, 1-29.

36-Sparrow, P. R., & Makram, H. (2015). What is the value of talent management? Building value-driven processes within a talent management architecture. Human Resource Management Review, 25(3), 249-263.

37-Stahl, G. K., Björkman, I., Farndale, E., Morris, S. S., Paauwe, J., Stiles, P., . . . Wright, P. M. (2007). Global talent management: How leading multinationals build and sustain their talent pipeline. INSEAD faculty and research working papers, 24.

38-Swailes, S., Downs, Y., & Orr, K. (2014). Conceptualising inclusive talent management: Potential, possibilities and practicalities. Human Resource Development International, 17(5), 529-544.

39-Tahmasbi, R., Gholipoor, A., & Javaherizadeh, E. (2012). Talent Management: Explain, Identify and the Rank Influencing Factors on Recruitment and Retention of Academic talent. Management Researches, 5(17), 5-26 (in Persian).

40-Tavassoli, G., & Mousavi, M. (2005). The concept of capital in classica and new theories with an emphasis on social capital theories. Journal of Social Sciences Letter, 26(26), 1-32 (in Persian).

41-Thunnissen, M., Boselie, P., & Fruytier, B. (2013). A review of talent management:‘infancy or adolescence?’. The International Journal of Human Resource Management, 24(9), 1744-1761.

42-Thunnissen, M., & Buttiens, D. (2017). Talent management in public sector organizations: a study on the impact of contextual factors on the TM approach in Flemish and Dutch public sector organizations. Public Personnel Management, 46(4), 391-418.

43-Tlaiss, H. A., Martin, P., & Hofaidhllaoui, M. (2017). Talent retention: evidence from a multinational firm in France. Employee Relations, 39(4), 426-445.

44-Van Heugten, P., Heijne-Penninga, M., Paans, W., & Wolfensberger, M. (2016). Characteristics of highly talented international business professionals defined: Qualitative study among international business professionals. European Journal of Training and Development, 40(2), 58-73.

45-Vosburgh, R. M. (2017). Closing the academic-practitioner gap: Research must answer the “SO WHAT” question. Human Resource Management Review.

46-Wang, L., & Cotton, R. (2018). Beyond Moneyball to social capital inside and out: The value of differentiated workforce experience ties to performance. Human Resource Management, 57(3), 761-780.