| تعداد نشریات | 63 |
| تعداد شمارهها | 2,268 |
| تعداد مقالات | 18,694 |
| تعداد مشاهده مقاله | 58,236,992 |
| تعداد دریافت فایل اصل مقاله | 29,909,133 |
Identifying the Effective Factors in the Change Management Model in the Automotive Industry Based on the General Policies of the Industry in the Fourth-Generation Industrial Revolution | ||
| International Journal of Digital Content Management | ||
| مقاله 12، دوره 3، شماره 5، شهریور 2022، صفحه 269-289 اصل مقاله (645.8 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22054/dcm.2022.67769.1088 | ||
| نویسندگان | ||
| Hamid Zahedi1؛ Mehrdad Matani* 2؛ Mehrara Asadollah3؛ Yousef Gholipoor Kanani2 | ||
| 1PhD Candidate, Public Administration, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran. | ||
| 2Assistant Professor of Management, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran. | ||
| 3Assistant Professor, Department of Industrial Engineering, Ghaemshahr Branch, Islamic Azad University, Ghaemshahr, Iran. | ||
| چکیده | ||
| Purpose: The main purpose of this study is to present a change management model in the automotive industry based on general industry policies in the fourth-generation industrial revolution. Method: To achieve this goal, first the effective factors and indicators affecting change management are identified based on the data model of the foundation and then these factors and indicators are categorized. Given that the purpose of this research is exploratory, the use of the grounded theory research method and semi-structured interviews with experts and professors led to the development of research model criteria. Findings: Based on the interviews and previous studies, the factors affecting the management of change in internal and external categories have been identified. Finally, change management strategies have been identified in three components: selecting acceptable managers, using consultants and expert staff, and creating a sense of empathy and trust. Conclusion: The use of expert managers and appropriate leaders causes change management to be implemented productively. Ultimately, these strategies result in increased survival under the components of greater brand acceptance and profitability. Change management strategies have been identified in three components: selecting acceptable managers, using consultants and expert staff, and creating a sense of empathy and trust. Changes are more about the individual's feelings than emotions and are technical, and associating them with change is the most difficult stage of change | ||
| کلیدواژهها | ||
| Change Management؛ Automotive Industry؛ Fourth-Generation Industrial Revolution؛ Smart Factory | ||
| مراجع | ||
|
Acharya, A., Singh, S.K., Pereira, V. and Singh, P. (2018), “Big data, knowledge co-creation and decision making in fashion industry”, International Journal of Information Management, 42, pp. 90-101.
Aditi, M. Sanjaya Singh Gaur, Elisa Giacosa, (2019) "Combining organizational change China’s regional metal industry: a meta- frontier approach. Resour. Policy.
Akter, S., Wamba, F.S., Gunasekaran, A., Dubey, R. and Childe, S.J. (2016), “How to improve firm performance using big data analytics capability and business strategy alignment?”,
Alaloul, W. Liew, M. Zawawi, N. Kennedy, I. (2020). Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain Shams Engineering Journal, 11: 225-230.
Alqudaha, Ikrema H.A Adolfo Carballo-Penelaa, Emilio Ruzo-Sanmartína(2022). High-performance human resource management practices and readiness for change: An integrative model including affective commitment, employees’ performance, and the moderating role of hierarchy culture, European research on management and business economics 28, Published by Elsevier España, S.L.U. on behalf of AEDEM
Aref, A., Jafarnejad, A., Kiani, A. (2020). Provide an appropriate framework (combined indicators) to assess the readiness of enterprises and industrial estates to implement the basic components of the Fourth Industrial Revolution and investment development. Investment Knowledge Quarterly, 8: 23-48. [in Persian]
Arnold, D., Voigt, K. I., How the industrial internet of things changes business models in different manufacturing industries. International Journal of Innovation Management. 20(8) (2016).
Asadi, Ma. (2020). The Fourth Industrial Revolution and the Digital Economy: The Drivers of Sustainable Economic Growth. Comprehensive Portal of Humanities, 3: 1-19. [in Persian]
Ben Moussa, N., & El Arbi, R. (2020). The impact of human resources information systems on individual innovation capability in Tunisian companies: The moderating role of affective commitment. European Research on Manag
Benjamin, M. Peter, W. (2011), Continuous organizational development (COD), Industrial andnCommercial. International Journal of Production Economics, 182, pp. 113-131.
Brenner M. (2008), It’s all about people: change management’s greatest lever, Business Strategy Series, 9 (3), pp. 132-137.
Burke, W.; (2008), Organization change: Theory and practice. Thousand Oaks, CA: Sage.
Davenport, T.H. (2012), “The human side of big data and high-performance analytics”, International Institute for Analytics, pp. 1-13.
De Sousa J, A. B. L., Jabbour, C. J. C., Godinho Filho, M., & Roubaud, D. (2018). Industry 4.0 and the circular economy: a proposed research agenda and original roadmap for sustainable operations. Annals of Operations Research, 270(1-2), 273-286
Demers C. (2009), Organizational change theories, SAGE Publications, USA, 1st edition
Feng, C., Huang, J.-B., Wang, M., (2018). Analysis of green total- factor productivity in China’s regional metal industry: a meta- frontier approach. Resour. Policy.
Ferchaud, F., Peyrard, C., Léonard, J., Gréhan, E., Mary, B. (2020). Large Variations in N2O Fluxes from Bioenergy Crops According to Management Practices and Crop Type. Atmosphere. 11, 675.
Gerlitz, H. Design Management as a Domain of Smart and Sustainable Enterprise: Business Modelling for Innovation and Smart Growth in Industry 4.0. Entrepreneurship and Sustainability Issues. 3(3) (2016) 244-268.
Haghi.S, Sippl. F, Zink. L, Reinhart, G. (2021), A Methodology for Flexible Configuration of Change Management Processes, an Institute for Machine Tools and Industrial Management, Technical University of Munich, Boltzmannstr. 15, Garching 85748, Germany
Hermann, T., Otto, B. (2016). Design principles for industry 4.0 scenarios. in Proceedings of the Annual Hawaii International Conference on System Sciences. 2016.
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (3rd ed.). New York, NY: McGraw-Hill.
Hossein, A.T.T., Singh, S.K., Farouk, S. and Sohal, A.S. (2016), “Knowledge sharing enablers, processes and firm innovation capability”, Journal of Workplace Learning, 8, pp. 484-495.
House, R. J., Dorfman, P. W., Javidan, M., Hanges, P. J., & Sully de Luque, M. F. (2013). Strategic leadership across cultures: GLOBE study of CEO leadership behavior and effectiveness in 24 countries. Thousand Oaks, CA: SAGE.
Ibarra, D. Ganzarain, J. Igartua, J. (2018). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 22: 4-10.
Ivanaj, S., Ivanaj, V., Mclntyre, J., Da Costa, N.G., 2017. Multinational enterprises’ strategic dynamics and climate change: drivers, barriers and impacts of necessary organizational change. J. Clean. Prod. 166, pp. 1521–1524.
Kotter, J.P., Schlesinger, L.A., 2008. Choosing strategies for change. Harvard Bus. Rev.nmanagement and organizational ambidexterity using data transformation", Management Decision.
Lozano, R., Haartman, R., 2018. Reinforcing the holistic perspective of sustainability: analysis of the importance of sustainability drivers in organizations. Corp. Soc. Responsibility. Environ. Manag. 25 (4), pp. 508–522.
Matusik, G. Hollenbeck, J. Mitchell, R. (2021), Latent Change Score Models for the Study of Development and Dynamics in Organizational Research, sage journal, 12
Maximilian Meißnera, Georg Jacobsa, Patrick Jaglaa , Jonathan Sprehea,(2021) Model based systems engineering as enabler for rapid engineering change management a Institute for Machine Elements and , issueSystems Engineering at RWTH Aachen University
Mousavi, M., Amiri, F. (2021). Marketing research in the Fourth Industrial Revolution, the use of metadata analysis and "machine learning" to provide value to the customer. Journal of Modern Marketing Research, 4: 37-54.
Orji, I. (2019). Examining barriers to organizational change for sustainability and drivers of sustainable performance in the metal manufacturing industry, Resources, Conservation & Recycling. 140, pp. 102-114.
Saifulina, N., Carballo-Penela, A., & Ruzo-Sanmartin, E. (2021). The antecedents of employees’ voluntary proenvironmental behavior at work in developing countries: The role of employee affective commitment and organizational support. Business Strategy & Development, 1–15.
Shahabi, V., Adel, A., Faezi, F., Mirfeiz, F. (2022) Modeling the Impact of the Fourth Industrial Revolution on the Banking Service Supply Chain Using the System Dynamics Approach and the Fuzzy Dimmatle Technique. International Business Management Quarterly, 13: 67-89. [in Persian]
Sharif M. & Scandura T (2014). Do perceptions of ethical conduct matter during organizational change? Journal of Business Ethics, In press
Sharma, D., & Siddiqui, L. (2020). Banking 4.0: ‘The Influence of Artificial Intelligence on the Banking Industry & How AI Is Changing the Face of Modern Day Banks’. International Journal of Management, 11(6).
Sima, V. Gheorghe, I. Subic, J. Nnacu, D. (2020). Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review, Sustainability, 12: 1-28.
Singh, D. and Delios, A. (2017), “Corporate governance, board networks and growth strategies”, Journal of World Business, 52(5), pp. 615-627.
Thoben, S. A., Wuest, T. (2017). Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International Journal of Automation Technology. 11(1), 4-16.
Wang, T., Olivier, D. F., & Chen, P. (2020). Creating individual and organizational readiness for change: Conceptualization of system readiness for change in school education. International Journal of Leadership in Education, 00(00), 1–25. Doi
Wilkesmann, M., & Wilkesmann, U. (2018). Industry 4.0–organizing routines or innovations? VINE Journal of Information and Knowledge Management Systems
Zhang Junwei,P Matthijs Bal,Muhammad Naseer Akhtar,Lirong Long,Yong Zhang,Zixiang Ma(2019)., high-performance work system and employee performance: the mediating roles of social exchange and thriving and the moderating effect of employee proactive personality, , Asia Pacific Journal of Human Resourcees, https://doi.org/10.1111/1744-7941.12199 | ||
|
آمار تعداد مشاهده مقاله: 736 تعداد دریافت فایل اصل مقاله: 596 |
||