Using Lucas Experimental Method to Investigate the Relationship between Exchange Rate Overshooting and Business Cycles in Iran
Subject Areas :
Industrial Management
Rahim Ghasemie
1
,
Amirabas Saminia
2
,
Mohamad Hasan Hemati
3
,
Abolfazl Kaviri Bidgoli
4
1 - Assistant Prof, Faculty of Human Sciences, Persian Gulf University, Bushehr, Iran
2 - Ph.D. Student in Industrial Management, Faculty of Human Sciences, Persian Gulf University, Bushehr, Iran
3 - Ph.D. Student in Industrial Management, Faculty of Human Sciences, Persian Gulf University, Bushehr, Iran
4 - MS Student in Industrial management, university of Shiraz, Iran
Received: 2016-05-09
Accepted : 2016-11-09
Published : 2016-12-10
Keywords:
Abstract :
Among the current production management issues, the ability to handle the unexpected changes, survive the unexpected threats in the business market and suitable use of environmental fluctuation as an opportunity are the most challenges of the production organizations. This ability is agility. The first step to achieve the agility is to measure the current agility level of organization. As each organization has its own structure, culture, strategies, and goals, the agility differs from one organization to others. Furthermore, the required agility level differs from one organization to another regarding the competitive environment in which they compete. In this paper, a model presented in order to measure the agility level in Shiraz municipality waste management organization. Based on this goal, first through the comprehensive literature review, different agility model studied and relevant dimensions and components of agility measurement model extracted using the meta-synthesis method. The main criteria and the principal components of these models include Agility drivers, agility enablers, key capabilities, agility strategies, required agility level, agility goals, and results. Then all levels of the model (three levels) have been Finalized using Focus Group method and the agility measurement tools designed according to the third level of a model (Guide tips). Finally, the agility level of Shiraz municipal waste management organization measured and results show a moderate level of agility in this organization.
References:
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Meade. L.M. & Sarkis. J. (1999). Analyzing Organizational Project alternatives for agile manufacturing processes: An analytical network approach, IJOPR, 37(2), 241-261.
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Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organizations: an introduction. International Journal of Production Economic, 62(1), 7–22.
Shahae, Behnam., & Rajabzade, Ali. (2005). Dimension of organizational agility in government agencies with the approach of information technology. International conference of communication & information. Iran.
Sherehiy, B., Karwowski, W., & Layer. J. K (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37, 445-460.
Swafford, P. M. Ghosh, S. & Murthy, N. (2006). the antecedents of supply chain agility of a firm: Scale development and model testing, Journal of Operations Management, 24. 170-188.
Vinodh, S., & Devadsan, S.Y. (2011). Twenty criteria based agility assessment using fuzzy logic approach. International Journal of Production Adv. manufacturing Technology, 54, 1219-1231.
Youssef Sarhadi, M., Gunasekaran, A. (1999).Agile manufacturing: The Drive Concepts and Attributes, International Journal of Economics, 62, 33-43.
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Zimmer, L. (2006). Qualitative meta-synthesis: a question of dialoguing with texts. Journal of advanced nursing, 53(3), 311-318.
_||_
Ashkzari, M. (2009). Agile Organization. Industrial engineering Faculty, Science & industryuniversity.15(1).
Chenail, R. J., & Weiss, A. D. (2007). Utilizing qualitative Meta synthesis to conduct systematic reviews of primary healthcare research. Workshop presented at the 21stannual primary care Research Method & Statistics conference, San Antonio, TX.
Ching-T. L., Hero, C., & Yi-Hong, T. (2006). Agility evaluation using fuzzy logic , Int. J. Production Economics, 1(1), 353-368.
Chiu, H., Chu,Po, Y,. & Lin, T. (2006). Agility index in the supply chain. Journal of production economics, 3(1), 285-299.
Christopher, M. (2000). The Agile supply chain: Competing in volatile Markets, Industrial Marketing Management, 29, 37 –44.
Feyzabadi, Javad. (2009). Explaining and evaluating a Model for strategic behavior of supply chain in industries with complex production (Doctoral dissertation). Tehran University, Tehran.
Gunasekaran, A. (1999). Agile manufacturing: A framework for research and development. International Journal of Production Economics, 62, 87-105.
Hormozi, A.M. (2001).Agile manufacturing: The next logical step, Emerald Journal, 8(2), 132-143.
Hoyt, J. (1996). Ph.D. Thesis, An empirical test of five enablers of agility in Manufacturing Organizations, The University of Texas at Arlington, USA.
Jafarnejad, A., & Zarei, A. (2005). Investigating internal organizational factors to design a model to transform current organization to agile ones. Management culture Journal, 3(67), 10-86.
Khaki, Gh. (2007). Method of research with approach of dissertation writing. Tehran: Baztab publication.
Lau, H.C.W., & Wong. E.T.T. (2001). Application of Information Technology in Agile Manufacturing, Agile Manufacturing: The 21th Century Competitive Strategy. Elsevier Science, 205-228.
Lin, C. T., Chiu, H. , Chu, P. Y. (2006). Agility index in the supply chain, International Journal of Production Economics100 (2). 285-99.
Meade. L.M. & Sarkis. J. (1999). Analyzing Organizational Project alternatives for agile manufacturing processes: An analytical network approach, IJOPR, 37(2), 241-261.
Ngai, E.W, Chau, D.C, & Chan, T.L.A. (2010). Information technology, operational, and management competencies for supply chain agility: findings from case studies, journal of strategic information systems, 17(3), 1-18.
Sandelowski, M. & Barroso, J. (2007). Handbook for Synthesizing Qualitative Research. New York: Springer.
Sarmad, Z., & Bazargan, A., & Hejazi, A. (2008). Method of research in the behavioral science. Tehran: Agah publication.
Sharifi, H., & Zhang, Z. (1999). A methodology for achieving agility in manufacturing organizations: an introduction. International Journal of Production Economic, 62(1), 7–22.
Shahae, Behnam., & Rajabzade, Ali. (2005). Dimension of organizational agility in government agencies with the approach of information technology. International conference of communication & information. Iran.
Sherehiy, B., Karwowski, W., & Layer. J. K (2007). A review of enterprise agility: Concepts, frameworks, and attributes. International Journal of Industrial Ergonomics, 37, 445-460.
Swafford, P. M. Ghosh, S. & Murthy, N. (2006). the antecedents of supply chain agility of a firm: Scale development and model testing, Journal of Operations Management, 24. 170-188.
Vinodh, S., & Devadsan, S.Y. (2011). Twenty criteria based agility assessment using fuzzy logic approach. International Journal of Production Adv. manufacturing Technology, 54, 1219-1231.
Youssef Sarhadi, M., Gunasekaran, A. (1999).Agile manufacturing: The Drive Concepts and Attributes, International Journal of Economics, 62, 33-43.
Zhang, Z., Sharifi, H.)2000(. A methodology for achieving agility in manufacturing organizations, International Journal of Operations & Production Management, 20(4), 496–512.
Zhang, D. (2011). Toward theory building in agile manufacturing strategies-case studies of an agility taxonomy. International Journal of Economics, 131,312-313.
Zimmer, L. (2006). Qualitative meta-synthesis: a question of dialoguing with texts. Journal of advanced nursing, 53(3), 311-318.
