طراحی و اعتبارسنجی مدل چابکی منابع انسانی در شرکت‌های متوسط و بزرگ‌ شهرک صنعتی آران‌وبیدگل

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری گروه مدیریت منابع انسانی، واحد ساوه، دانشگاه آزاد اسلامی، ساوه ایران

2 استادیار گروه مدیریت، واحد ساوه، دانشگاه آزاد اسلامی، ساوه، ایران، نویسنده مسئول

3 استادیار گروه مدیریت، دانشگاه پیام نور، تهران، ایران

چکیده

 یکی از ضرورت‌های سازمان زیست سازمانی در دورۀ معاصر، ایجاد سازمان‌های چابک و پرورش نیروهای متخصص و آموزش‌دیده در فضاهای شغلی مملو از مخاطرات است که قادر بوده با سرعت زیاد به تغییرات در زمان مقتضی پاسخ‌های مناسبی ارائه دهند. تحقیق حاضر با هدف طراحی و اعتبارسنجی مدل چابکی منابع انسانی در شرکت‌های متوسط و بزرگ‌ شهرک صنعتی آران‌وبیدگل انجام شد. این پژوهش به روش تلفیقی-اکتشافی (مدل برساخت ابزار گردآوری داده‌های تحقیق با تمرکز بر روش‌های کمّی) انجام شد. بر این اساس، با استفاده روش کیفی، اقدام به شناسایی، دسته‌بندی و مدل‌سازی عوامل، مفاهیم و مقولات مرتبط به چابکی منابع انسانی در قالب مدل پارادایمی نظریۀ داده‌بنیاد گردید و در بخش کمّی، مدل به‌دست‌آمده با استفاده از مدل‌سازی معادلات ساختاری (AMOS) اعتباریابی و آزمون گردید. پس از کدگذاری و طبقه‌بندی مفاهیم، مقولات و مضامین مصاحبه‌‌ها در قالب نرم‌افزار تحلیل داده‌های کیفی (MAXQDA)، 443 کد باز اولیه استخراج شد که این کدها به‌صورت محوری (154 مفهوم و 40 مقولۀ اصلی) در قالب مدل پارادایمی به یکدیگر پیوند یافتند: پدیدۀ محوری  شرایط علی، شرایط زمینه‌ای، عوامل مداخله‌گر، راهبردهای کنش، پیامدها. بررسی مدل عاملی تأییدی چابکی منابع انسانی نیز گویای آن بود که بارهای عاملی تمامی عوامل و مؤلفه‌های مدل بیشتر از محدوده‌های قابل قبول (4/0) بوده و عامل‌ها و شاخص‌های زیرمجموعۀ مدل چابکی منابع انسانی در شرکت‌های صنعتی آران‌وبیدگل، از وضعیت برازش و اعتبار لازم و مطلوبی برخوردارند.

کلیدواژه‌ها

عنوان مقاله [English]

Validation of the Human Resource Agility Model in Medium and Large Companies in Aran and Bidgol Industrial Town

نویسندگان [English]

  • Mehdi Rahemi Noushabadi 1
  • Maryam Majidi 2
  • Mohammad Mehtri Arani 3
1 PhD Student in Human Resource, Department of Management, Faculty of Humanities, Islamic Azad University, Saveh Branch, Saveh, Iran
2 Assistant Professor, Department of Management, Faculty of Humanities, Islamic Azad University, Saveh Branch, Saveh, Iran (Corresponding Author)
3 Assistant Professor, Faculty of Management, Payam Noor University, Tehran, Iran
چکیده [English]

Introduction
One of the most superior managerial strategies that enables organizations to respond effectively and continuously to environmental opportunities and threats is human resource agility. The core of human resource agility is the ability to change the capabilities and capacities of human resources and, in line with that, the training of human resources to fully master knowledge and skills. Therefore, creating agile organizations and cultivating skilled and trained personnel in high-risk work environments is of paramount importance. Despite the significance of agile human resources within organizations, a substantial portion of research in the realm of human resource agility has remained conceptual and theoretical. There is a notable deficiency of models and indicators for human resource agility as well as a lack of empirical research assessing agility in medium and large companies. Therefore, the present study aims to design and validate a human resource agility model in medium and large companies of the Aran and Bidgol Industrial Town.
Materials and Methods
This research employed a mixed-methods approach, combining exploratory research with a model of constructing a data collection tool that focused on quantitative methods. Through 15 semi-structured interviews with university experts, faculty members, and 15 deputy managers and directors from medium and large industrial companies in Aran and Bidgol (as the qualitative sample), the components of human resource agility were identified using a grounded theory paradigm model. The sample size was selected gradually and purposefully with theoretical saturation of the categories of human resources agility serving as the criterion for ending sampling. The data collection tool was a semi-structured interview. The data was analyzed using MAXQDA qualitative data analysis software and the coding procedures of Strauss and Corbin (2016). To ensure the credibility of the qualitative research, this study employed Lincoln and Guba's criteria. Reliability was achieved by using structured convergent interviewing, systematic data recording, coding, and interpretation procedures. Two interviewers conducted separate parallel interviews to strengthen the reliability of the data. The quantitative portion of the study utilized a survey-based model to ensure its validity. The sample size, determined by Morgan's table, consisted of 60 academic experts and 377 employees from various levels (small-scale, medium-level, and managerial) in medium and large companies located in Aran and Bidgol Industrial Town. After data collection and analysis, SPSS software and descriptive statistics such as frequency, percentage, and mean were used to describe the data. The research model was evaluated using structural equation modeling (SEM) with AMOS. The sampling process for the quantitative part of the study was a stratified random sampling. The validity of the research instrument was established through face validity (expert agreement on the indicators) and convergent validity, which confirmed the convergence of the different components of the human resource agility model.
Results and Findings
After completing the qualitative data collection process, the audio recordings of interviews with academic and non-academic experts (managers, deputy managers, and employees of industrial companies) were transcribed into a 124-page document (34,000 words). In this stage, two qualitative coders sequentially conducted open, axial, and selective coding to analyze both explicit and implicit themes in the interviews. After coding and categorizing the concepts, categories, and themes from the interviews using the MAXQDA qualitative data analysis software, an initial 443 open codes were extracted. These codes were then axially coded into 154 concepts and 40 main categories. The connections between the main categories and the known components of the grounded theory paradigmatic model are shown in Figure 1. 
Based on the descriptive findings from the analysis of the components and indicators related to the causal conditions for human resource agility in small and medium-sized enterprises in Aran and Bidgol Industrial Town, the index of 'providing human resources with access to job knowledge and information within the organizational access component was found to be unreliable according to the respondents' answers and had a mean score of 2.64, which was below the average of 3. Based on these findings, the index related to the causal conditions for creating human resource agility was excluded. Other indices related to contextual conditions, intervening variables, core phenomenon components, action strategies, and organizational agility outcomes had a higher average score than the theoretical mean of 3. To determine the status of the core phenomenon, causal conditions, contextual conditions, intervening variables, action strategies, and outcomes of human resource agility, a one-sample t-test was used given the normal distribution of the variables. Based on this test, all elements of the human resource agility paradigm model were found to be sufficiently desirable for creating human resource agility. To validate the factors identified using grounded theory regarding the various components of the human resource agility paradigm, structural equation modeling and confirmatory factor analysis were employed. The results from the independent analysis of each component of the human resource agility model as well as the overall model, in small and medium-sized enterprises in Aran and Bidgol Industrial Town, showed that the factor loadings of all considered factors and components exceeded the acceptable threshold of 0.4. This indicated that the factors and sub-indices of the human resource agility model in the industrial companies of Aran and Bidgol had a satisfactory fit and validity.
Conclusion
The results of this research demonstrated that agile human resources were equipped with resources and elements such as knowledge and learning, intelligence and competency, innovation and creativity, speed, adaptability, responsiveness, flexibility, resilience, foresight, and change orientation. In shaping these elements, the continuity and consistency of training for new organizational duties and responsibilities, providing comprehensive and universal training opportunities in human resources, diversifying training topics, and operationalizing the learning organization concept through multidisciplinary training (causal factors) have played a significant role. These factors, along with structural conditions such as flexible working hours, developing a trust-based environment, selecting multi-skilled and full-time employees with knowledge capabilities in a dynamic and professionally governed environment (contextual conditions), have had a significant impact. These conditions, in turn, have been mediated by improving welfare indicators, simplicity, diversity, and job redesign, tailoring performance management, organizing knowledge-based compensation systems in a proactive manner and by ensuring cohesive and integrated performance and group activities that ultimately lead to agility.

کلیدواژه‌ها [English]

  • agility
  • human resource agility
  • Aran and Bidgol industrial town
  • structural equation modeling
  • grounded theory

مراجع

 
آهنگ، فرحناز، غفاری، حسن، مهدی، محمد، و محمدی‌پور، سمانه. (1399). واکاوی پیشران‌های کلیدی مؤثر بر توسعۀ چابکی منابع انسانی در سازمان‌های نظامی. آینده‌پژوهی دفاعی، 5(18)، 63ـ۸۶. https://doi.org/10.22034/DFSR.2021.521717.1459
 اشتروس‌، انسلم و کوربین، جولیت (1395). مبانی پژوهش کیفی: فنون و مراحل تولید نظریۀ زمینه‌ای. ترجمۀ ابراهیم افشار. تهران: نشر نی.
بهرامیان، لیلا، ودادی، احمد، و غلامزاده، داریوش. (1401). ارائۀ مدل چابکی منابع انسانی در سازمان‌های دولتی با رویکرد کیفی. نظارت و بازرسی، 16(59)، ۹۱-114. https://doi.org/10.22034/SI.2021.98267
بودلایی، حسن، کنارودی، محمدحسین، عبادی، حامد، و بهمنی، اکبر. (1400). مدیریت دیجیتال منابع انسانی، رهیافتی برای خلق چابکی سازمانی در بخش دولتی در عصر اقتصاد دیجیتال (مورد مطالعه: شبکه بانک‌های دولتی کشور ایران). مدیریت دولتی، 13(4)، 766-785. https: //doi.org/10.22059/JIPA.2022.333338.3051
پابرجا، الهام. (1394). طراحی مدل ساختاری تفسیری چابکی منابع انسانی در معاونت توسعه و مدیریت منابع دانشگاه ولی‌عصر(عج) رفسنجان. پایان‌نامۀ کارشناسی ارشد رشته مدیریت ‌دولتی، دانشگاه ولی‌عصر(عج) رفسنجان.
تاش، مهیم، ساعدی، عبدالله، غفاری، حسین، پورانجنار، گلبهار، و آهنگ، فرحناز. (1400). واکاوی نقش واسطۀ ظرفیت جذب دانش در تأثیر فرهنگ نوآوری بر چابکی منابع انسانی. علوم و فنون مدیریت اطلاعات، 7(3)، 149ـ۱۷۲. https: //doi.org/10.22091/stim.2021.6528.1517
جامه‌ابریشمی، سلمان، میرمحمدصادقی، سید علیرضا، و علی یاری، شهرام. (1401). طراحی مدل چابکی آستان‌های مقدس در ایران مبتنی‌بر نقش منابع انسانی. مطالعات رفتار سازمانی، 11(44)، 125-163.
خاکی‌وطن، نفیسه، عباسیان، حسین، نوه‌ابراهیم، عبدالرحیم، و آراسته، حمیدرضا. (1400). بررسی وضعیت چابکی منابع انسانی در آموزش و پرورش. مدیریت مدرسه، 9(1)، 74-97.
خدابنده، ناهید، محمدی، نبی‌اله، درودی، هما و منصوری، علی (1397). مدل‌یابی چابک‌سازی منابع انسانی بر اساس رویکرد نظریه‌پردازی داده‌بنیاد (مطالعۀ موردی)، رهبری و مدیریت آموزشی، 12(3): 87-108.
حجازی، سید حمید، ایران‌زاده، سلیمان، و باقرزاده خواجه، مجید. (1401). ارائۀ الگوی مدیریت منابع انسانی جهت دستیابی به چابکی کسب و کارهای کوچک و متوسط الکترونیکی (مورد مطالعه: کسب‌وکارهای الکترونیکی در ایران). پژوهش‌های مدیریت عمومی، 15(56)، 255-۲۷۹. https: //doi.org/10.22111/JMR. 2021.37297.5368
دهقانی، حمیدرضا، رزقی رستمی، علیرضا، و مشعلی، بهزاد (1401). پیامدهای به‌کار‌گیری مدل انعطاف‌پذیری و چابکی منابع انسانی در سازمان بنادر و دریانوردی جمهوری اسلامی ایران. مدیریت نوآفرینی، 2(2)، -۷۸.
رستگار، عباسعلی، دهقان، احسان، و هوشمندی باقری، قره‌بلاغ. (1399). طراحی و تبیین مدل چابکی منابع انسانی در سازمان‌های پروژه‌محور. پژوهشنامه مدیریت اجرایی، 12(24)، 295-320. https: //doi.org/10.22080/jem.2021.18758.3195
روغنی ممقانی، عیسی، حقیقت‌منفرد، جلال، و جعفرنژاد، احمد. (1399). تبیین الگوی راهبرد چابکی در صنعت خودروسازی کشور بر مبنای سیاست‌های کلی اقتصاد مقاومتی. پژوهش‌های مدیریت راهبردی، 26(76)، 103-128. https: //doi.org/20.1001.1.22285067.1399.26.76.5.9
سلطانی، فاطمه، ناظم، فتاج، و ایمانی، محمدنقی. (1399). ارائۀ الگوی چابکی سازمانی براساس توسعۀ منابع انسانی در دانشگاه آزاد اسلامی استان تهران. نوآوری های مدیریت آموزشی، 15(3)، 1ـ22. https: //doi.org/20.1001.1.20081138.1399.15.3.1.1
عالی، علی، ضیاءالدینی، محمد، و هادوی‌نژاد، مصطفی. (1400الف). توسعه و تحول مدل چابکی نیروی انسانی. مجلۀ مدیریت توسعه و تحول، شمارۀ 45، 87-۱۰۱. https: //doi.org/100.1.1.258954.1400.02.25.5.8.
عالی، علی، ضیاءالدینی، محمد، و هادوی‌نژاد، مصطفی. (1400ب). ارائۀ الگوی چابکی و توسعۀ منابع انسانی در بانک مسکن با استفاده از روش ترکیبی فراتحلیل و دیمتل فازی. آموزش و توسعۀ منابع انسانی، 8(31)، 20-50. https: //doi.org/10.52547/istd.31473.8.31.20
قویدل، تکتم، و اسماعیلی شاد، بهرنگ. (1397). شناسایی مؤلفه‌های چابکی سازمانی جهت طراحی الگوی دستیابی به چابکی در ادارۀ تأمین اجتماعی. مهندسی فرایندها، 5(11)، 1-16.
مدهوشی، مهرداد، هادی تبار، جواد. (1397). تدوین چارچوب بومی چابکی سازمانی در شرکت‌های دانش‌بنیان با رویکرد مدل‌سازی ساختاری- تفسیری ism. مدیریت بهره‌وری، 11(44): 7-34.
Alhadid, A. Y. (2016). The effect of organization agility on organization performance. International review of management and business research, 5(1), 273
Akkaya, B., & Tabak, A. (2020). The link between organizational agility and leadership: A research in science parks. Academy of Strategic Management Journal, 19(1), 1-17.
Azuara, V. (2015). A human resource perspective on the development of workforce agility. Thesis PHD, School of Business and Management, Pepperdine University.
Breu, K., Hemingway, C.J., Strathern, M., & Bridger, D. (2002). Workforce agility: the new employee strategy for the knowledge economy. Journal of Information Technology, 17(1), 21-31. https: //doi.org/10.1080/02683960110132070
Chan, F. K., & Thong, J. Y. (2009). Acceptance of agile methodologies: A critical review and conceptual framework. Decision Support Systems, 46(4), 803-814.
Chung, S., Lee, K. Y., & Kim, K. (2014). Job performance through mobile enterprise systems: The role of organizational agility, location independence, and task characteristics. Information & Management, 51(6), 605-617.
Dove, R.(2001), Knowledge Management Response Ability, Paradigm Shift International. Available in http://www.parshift.com.
Doz, Y. (2020). Fostering strategic agility: How individual executives and human resource practices contribute.HumanResourceManagementReview, 30(1),100693. https: //doi.org/10.1016/j.hrmr.2019.1006 93
Dyer, L., Shafer, R.A., (1998). From Human Resource Strategy to rganizational Effectiveness: Lessons from Research on Organizational Agility. Center for Advanced Human Resource Studies. Ithaca, NY. https: //doi.org/10.1002/hrm.20059
Goldman, S. L., Nagel, R. N., & Preiss, K. (1995). Agile competitors and virtual organizations: strategies for enriching the customer (Vol. 8). New York: Van Nostrand Reinhold.
Jesse, N. (2019). Agility eats Legacy the Long Good-bye. IFAC Papers OnLine, 154-158. Available online at www.sciencedir ect.com. https: //doi.org/10.1016/j.ifacol.2019.12.464
Junita, A. (2021). Agile HR Strategies: Prerequisite of Business Competitiveness in a Dynamic Environment. ICISPE, Semarang, Indonesia, March 2021. http: //dx.doi.org/10.4108/eai.9-10-2020.2304778
Hopp, W. J., & Oyen, M. P. (2004). Agile workforce evaluation: a framework for cross-training and coordination. Iie Transactions, 36(10), 919-940 .
Khan, Z., Soundararajan. V., Shoham. A.(2020). Global post-merger agility, transactive memory systems and human resource management practices. Human Resource Management Review, 30(1), 100697. https: //doi.org/10.1016/j.hrmr.2019.100697
Lee, K., Woo, H.G. & Joshi, K. (2017). Pro-innovation culture, ambidexterity and new product development performance: Polynomial regression and response surface analysis. European Management Journal, 35(2): 249-260. https: //doi.org/10.1016/J.EMJ.2016.05.002.
Lin, C.-T., Chiu, H., & Chu, P.-Y. (2006). Agility index in the supply chain. International Journal of Production Economics, 100(2), 285-299. https: //doi.org/10.1016/j.ijpe.2004.11.013.
Liu, S. Chan, F.T.S. Yang, J. & Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43: 98-111. https: //doi.org/10.1016/j.ijinfomgt.2018.07.010.
Maskell, B. (2001). The age of agile manufacturing. Supply Chain Management: An International Journal, 6(1): 5-11. https: //doi.org/10.1108/13598540110380868.
Melián-Alzola, L., Domínguez-Falcón, C. and Martín-Santana, J. D. (2020) .The role of the human dimension in organizational agility: an empirical study in intensive care units. Personnel Review, Vol. 49, No. 9, 1945-1964. https: //doi.org/10.1108/PR-08-2019-0456
Meredith, S., Francis, D. (2000), Journey towards agility: the agile wheel explored. The TQM Magazine, 12(2), 137-143. https: //doi.org/10.1108/09544780010318398
Munteanu, A. I. , Bibu, N. , Nastase, M., Critache, N., & Matis, C.(2020). Analysis of Practices to Increase theWorkforce Agility and to Develop a Sustainable and Competitive Business. Sustainability, 12, 3545, pages 1-14. https: //doi.org/10.3390/su12093545
Oldham, G. R. & Cummings, A. (1996). Employee creativity: personal and contextual factors. Academy of Management Journal, 39(3), 607-34. https: //doi.org/10.2307/256657
Sandra, D. J. V. V. (2017). Proactive and Adaptive Agility among Empoyees, Renate siebes. Preefschriftmaken .nl, ISBN: 978-94-90791-58-2.
Sharifi, H., & Zhang, Z. (2001). Agile manufacturing in practice-Application of a methodology. International Journal of Operations & Production Management, 21(5/6), 772-794. https: //doi.org/10.1108/01443570110390462
Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37(5), 445-460. https: //doi.org/10.1016/j.ergon.2007.01.007
Stewart, G. L., & Brown, K. G. (2019). Human resource management. John Wiley & Sons. Forurth Edition.
Stekelenburg, J. V. (2016). Exploring Organizational Agility And The Added Value Of Human Resources: Creating Organizational Agility By Using Individual Competencies And Organizational Practices. Unpublished Master's Thesis, Tilburg University, Tilburg, Netherlands
Storme, M., Suleyman, O., Gotlib, M., & Lubart, T. (2020). Who is agile ? An investigation of the psychological antecedents of workforce agility. Global Business and Organizational Excellence, 39(6), 28-38.
Tan, F. T. C., Tan, B., Wang, W., & Sedera, D. (2017). Enabled operational agility: An interdependencies perspective. Information & Management, 54(3), 292-303.
Tamtam, F., Tourabi, A. (2020). A framework for measuring workforce agility: Fuzzy logic approach applied in a Moroccan manufacturing company. Advances in Science. Technology and Engineering Systems Journal, 5(3), 411-418.
Tessarini, G. & Saltorato, P. (2021) Workforce Agility: A systematic Literature Review and a Research Agenda Proposal. Innovar, 31(81). In press. https: //doi.org/10.15446/innovar.v31n81.95582.
Wright, P. M. & Dyer, L., (2000). People in the E-Business: New challenges, new solutions (CAHRS Working Paper #00-11). Ithaca, NY: Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource Studies.
Ulrich, D., & Yeung, A. (2019). Agility: The new response to dynamic change. Strategic HR Review, 18(4): 161-167.
Vidotto, J. D. F., Ferenhof, H. A., Selig, P. M., & Bastos, R. C. (2017). A human capital measurement scale. Journal of Intellectual Capital, 18(2): 316-329 https: //doi.org/10.1108/JIC-08-2016-0085
References  
Ahang, Fa., Ghafari, H., Mehdi, M, Mohammadpour, S (2020). Investigating the drivers of human resource agility development in military organizations, Journal Defensive Future Studies, 5 (18), 63-86. [In Persian] https://doi.org/10.22034/DFSR.2021.521717.1459.
Akkaya, B., & Tabak, A. (2020). The link between organizational agility and leadership: A research in science parks. Academy of Strategic Management Journal, 19(1), 1-17.
Alhadid, A. Y. (2016). The effect of organization agility on organization performance. International review of management and business research, 5(1), 273
Ali, A., Ziaodin, M., & Hadavi-Nejad, M. (2022). Development and evolution of the human resources agility model.  Journal of Management Development and Transformation, 45, 87-101. [In Persian]. https: //doi.org/100.1.1.258954.1400.02.25.5.8.
Ali, A., Ziaodin, M., & Hadavi-Nejad, M. (2022). Presenting a model of agility and human resource development in Bank Mesken using a combined meta-analysis and fuzzy DEMATEL method. 8(31), 20-50. [In Persian]. https: //doi.org/10.52547/istd.31473.8.31.20.
Azuara, V. (2015). A human resource perspective on the development of workforce agility. Thesis PHD, School of Business and Management, Pepperdine University.
Bahamian, L, Vedadi, A, Gholamzadeh, D (2022). Presenting a qualitative approach of model of human resource agility in governmental organizations, Supervision & Inspection, 16 (59), 91-114. [In Persian] https://doi.org/10.22034/SI.2021.98267.
Boudlaie, H, Kenarroodi, M, Ebadi, H, Bahmani, A (2021). Digital Human Resource Management: An Approach to Creating Organizational Agility in the Public Sector in the Digital Economy Era (A Study on the Public Sector Banking Network in Iran), Public Administration, 13 (4), 766 – 785. [In Persian]. https: //doi.org/10.22059/JIPA.2022.333338.3051.   
Breu, K., Hemingway, C.J., Strathern, M., & Bridger, D. (2002). Workforce agility: the new employee strategy for the knowledge economy. Journal of Information Technology, 17(1), 21-31. https: //doi.org/10.1080/02683960110132070
Chan, F. K., & Thong, J. Y. (2009). Acceptance of agile methodologies: A critical review and conceptual framework. Decision Support Systems, 46(4), 803-814.
Chung, S., Lee, K. Y., & Kim, K. (2014). Job performance through mobile enterprise systems: The role of organizational agility, location independence, and task characteristics. Information & Management, 51(6), 605-617.
Corbin, J,. Strauss, A   (2008). Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory, Translated by Ebrahim Afshar, Tehran: Ney Publishing.
Dehqani, H., Razghi Rostami, A., & Meshali, B. (2022). The consequences of applying the human resource flexibility and agility model in the Islamic Republic of Iran Ports and Maritime Organization. Innovation Management, 2(2), 69-78. [In Persian].
Dove, R. (2001), Knowledge Management Response Ability,Paradigm Shift International.Available in http://www.parshift.com.
Doz, Y. (2020). Fostering strategic agility: How individual executives and human resource practices contribute.HumanResourceManagementReview, 30(1),100693. https: //doi.org/10.1016/j.hrmr.2019.1006 93
Dyer, L., Shafer, R.A., (1998). From Human Resource Strategy to rganizational Effectiveness: Lessons from Research on Organizational Agility. Center for Advanced Human Resource Studies. Ithaca, NY. https: //doi.org/10.1002/hrm.20059
 Educational Management Innovations, 15(3), 1-22. [In Persian]. https://doi.org/20.1001.1.20081138.1399.15.3.1.1.
Ghavidal, T., & Esmaeili Shad, B. (2018). Identifying the components of organizational agility to design a model for achieving agility in the Social Security Administration. Process Engineering, 5(11), 1-16. [In Persian].
Goldman, S. L., Nagel, R. N., & Preiss, K. (1995). Agile competitors and virtual organizations: strategies for enriching the customer (Vol. 8). New York: Van Nostrand Reinhold.
Hejazi, S, Iranzaded, S, Bagherzadeh Khajeh, M (2022). Provide a Human Resource Management Model to Achieve Small and Medium e-business Agility (Case Study: Electronic Business in Iran), Public Management Reserches, 15 (65), 255 – 279. [In Persian]. https: //doi.org/10.22111/JMR. 2021.37297.5368.
Hopp, W. J., & Oyen, M. P. (2004). Agile workforce evaluation: a framework for cross-training and coordination. Iie Transactions, 36(10), 919-940.
Jameh Abrishmi, S, Mirmohammad Sadeghi, A, Ali Yari, Sh (2022). Designing an Agility Model for Holy Astans in Iran Based on the Role of Human Resources, organizational Behavior Studies Quarterly, 4 (11), 125-163. [In Persian].
Jesse, N. (2019). Agility eats Legacy the Long Good-bye. IFAC Papers OnLine, 154-158. Available online at www.sciencedir ect.com. https: //doi.org/10.1016/j.ifacol.2019.12.464
Junita, A. (2021). Agile HR Strategies: Prerequisite of Business Competitiveness in a Dynamic Environment. ICISPE, Semarang, Indonesia, March 2021. http: //dx.doi.org/10.4108/eai.9-10-2020.2304778
Khakivatan, N, Abbasian, H, Navehebrahim, A, ARASTEH,  HAMID REZA (2021), Study The Agility of Human Resources in the Education, Journal of School administration, 9 (1), 74-97. [In Persian].
Khan, Z., Soundararajan. V., Shoham. A. (2020). Global post-merger agility, transactive memory systems and human resource management practices. Human Resource Management Review, 30(1), 100697. https: //doi.org/10.1016/j.hrmr.2019.100697
Khodabandeh, N., Mohammadi, N., Doroudi, H., & Mansouri, A. (2018). A data-driven theoretical modeling of human resources agility (A case study). Quarterly Journal of Educational Leadership & Administration, 12(3), 87-108. [In Persian].
Lee, K., Woo, H.G. & Joshi, K. (2017). Pro-innovation culture, ambidexterity and new product development performance: Polynomial regression and response surface analysis. European Management Journal, 35(2): 249-260. https: //doi.org/10.1016/J.EMJ.2016.05.002.
Lin, C.-T., Chiu, H., & Chu, P.-Y. (2006). Agility index in the supply chain. International Journal of Production Economics, 100(2), 285-299. https: //doi.org/10.1016/j.ijpe.2004.11.013.
Liu, S. Chan, F.T.S. Yang, J. & Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43: 98-111. https: //doi.org/10.1016/j.ijinfomgt.2018.07.010.
Madehooshi, M., & Hadi Tebar, J. (2018). Developing a domestic framework for organizational agility in knowledge-based companies with a structural-interpretive modeling approach. Productivity Management, 11(44), 7-34. [In Persian].
Maskell, B. (2001). The age of agile manufacturing. Supply Chain Management: An International Journal, 6(1): 5-11. https: //doi.org/10.1108/13598540110380868.
Melián-Alzola, L., Domínguez-Falcón, C. and Martín-Santana, J. D. (2020). The role of the human dimension in organizational agility: an empirical study in intensive care units. Personnel Review, Vol. 49, No. 9, 1945-1964. https: //doi.org/10.1108/PR-08-2019-0456
Meredith, S., Francis, D. (2000), Journey towards agility: the agile wheel explored. The TQM Magazine, 12(2), 137-143. https: //doi.org/10.1108/09544780010318398
Munteanu, A. I., Bibu, N., Nastase, M., Critache, N., & Matis, C. (2020). Analysis of Practices to Increase theWorkforce Agility and to Develop a Sustainable and Competitive Business. Sustainability, 12, 3545, pages 1-14. https: //doi.org/10.3390/su12093545
Oldham, G. R. & Cummings, A. (1996). Employee creativity: personal and contextual factors. Academy of Management Journal, 39(3), 607-34. https: //doi.org/10.2307/256657
Pabarja, E. (2015). Design of an Interpretive Structural Model for Human Resource Agility in the Deputy of Development and Human Resources Management at Vali-e-Asr University of Rafsanjan. Master's Thesis, Public Administration, Vali-e-Asr University of Rafsanjan. [In Persian].
Rastgar, A, Dehghan, E, Bagheri Garbollagh, H (2020).  Designing and Explanation of Human Resources Agility Model in Project-Based Organizations, Journal of Executive Management, 12 (24), 295 – 320. [In Persian]. https: //doi.org/10.22080/jem.2021.18758.3195.
Roghaani Mamgani, E., Haghighat-Manfed, J., & Ja'farnjad, A. (2021). Explaining the agility strategy model in the country's automotive industry based on the general policies of a resistant economy. Strategic Management Research, 26(76), 103-128. [In Persian]. https: //doi.org/20.1001.1.22285067.1399.26.76.5.9.
Sandra, D. J. V. V. (2017). Proactive and Adaptive Agility among Empoyees, Renate siebes. Preefschriftmaken .nl, ISBN: 978-94-90791-58-2.
Sharifi, H., & Zhang, Z. (2001). Agile manufacturing in Practice-Application of a methodology. International Journal of Operations & Production Management, 21(5/6), 772-794.      https: //doi.org/10.1108/01443570110390462
Sherehiy, B., Karwowski, W., & Layer, J. K. (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37(5), 445-460.               https: //doi.org/10.1016/j.ergon.2007.01.007
Soltani, F., Nazm, F., & Eimani, M.N. (2021). Presenting a model of organizational agility based on human resource development at Azad University of Tehran province.
Stekelenburg, J. V. (2016). Exploring Organizational Agility And The Added Value Of Human Resources: Creating Organizational Agility By Using Individual Competencies And Organizational Practices. Unpublished Master's Thesis, Tilburg University, Tilburg, Netherlands
Stewart, G. L., & Brown, K. G. (2019). Human resource management. John Wiley & Sons. Forurth Edition.
Storme, M., Suleyman, O., Gotlib, M., & Lubart, T. (2020). Who is agile ? An investigation of the psychological antecedents of workforce agility. Global Business and Organizational Excellence, 39(6), 28-38.
Tamtam, F., Tourabi, A. (2020). A framework for measuring workforce agility: Fuzzy logic approach applied in a Moroccan manufacturing company. Advances in Science. Technology and Engineering Systems Journal, 5(3), 411-418.
Tan, F. T. C., Tan, B., Wang, W., & Sedera, D. (2017). Enabled operational agility: An interdependencies perspective. Information & Management, 54(3), 292-303.
Tash, M, Saedi, A, Ghaffari, H, Pouranjenar, G, Ahang, F (2021) Journal of Sciences and Techniques of Information Management, 7 (4), 149-172. [In Persian]. https: //doi.org/10.22091/stim.2021.6528.1517.
Tessarini, G. & Saltorato, P. (2021) Workforce Agility: A systematic Literature Review and a Research Agenda Proposal. Innovar, 31(81). In press. https: //doi.org/10.15446/innovar.v31n81.95582.
Ulrich, D., & Yeung, A. (2019). Agility: The new response to dynamic change. Strategic HR Review, 18(4): 161-167.
Vidotto, J. D. F., Ferenhof, H. A., Selig, P. M., & Bastos, R. C. (2017). A human capital measurement scale. Journal of Intellectual Capital, 18(2): 316-329 https: //doi.org/10.1108/JIC-08-2016-0085
Wright, P. M. & Dyer, L., (2000). People in the E-Business: New challenges, new solutions (CAHRS Working Paper #00-11). Ithaca, NY: Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource Studies.

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