Educational Development of Judishapur

Educational Development of Judishapur

Designing a change model for developing human resource training in technology transfer in learning organizations using a metaheuristic framework

Document Type : Original Article

Authors
Elham Moghadam nia 1
Abbas Toloei ashlaghi 2
Mohammad ali Afshar kazemi 3
1 PhD, Technological Management Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 Faculty member, Faculty of Management and Economics, Industrial Management Department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 Faculty member, Faculty of Management, Industrial Management Department, Tehran Center Branch, Islamic Azad university, Tehran, Iran.
10.22118/edc.2020.249401.1538
Abstract
Trained human resources as the main factor in technology transfer, and education development as a supporting system play a major role in successful technology implementation. In order to achieve par excellence, organizations should develop proper educational capabilities as a competitive advantage, and education development in technology transfer helps these organizations to have a superior performance. The aim of the present study is to present an optimized change model resulting from education development in technology transfer of human resources in learning organizations. This study is descriptive in method and applied in purpose. In this study, system configuration for optimizing the model was done by MATLAB. After running the software program, the learning organization which trains human resources by technology transfer was analyzed by encoding and formulating the model using particle swarm optimization (PSO) algorithm. The results showed that different scenarios were optimized by PSO algorithm in search of solution space to train human resources by technology transfer. In technology transfer, by optimizing human resource training (professional production forces, technicians, skilled workers, and regular workers), the expenses of the learning organizations can be reduced over time. Paying attention to human resource training contributes to fruitful technology transfer function. 

Highlights

Appiah-Adu K, Okpattah B, Djokoto J(2016). Technology transfer, outsourcing, capability and performance: A comparison of foreign and local firms in Ghana, Technology in Society, doi: 10.1016.2016.Vol.6,No.2,Pp.18-30.

Bak,o (2012). Universities: can they be considered as learning organizations. Apreliminary micro-level perspective. The learning organization. Vol.19,No.2.Pp163-172

  1. Chemat, M.K. Khan (2011). Applications of ultrasound in food technology: processing, preservation and extraction, Ultrason. Sonochem.Vol.5,No.4,Pp813–835.

Choon, M.S. Battistella, C., De Toni, A(2015). Inter-organisational technology/knowledge transfer: a framework from critical literature review. The Journal of Technology Transfer,doi:10.1007/S 10961-015-9418-7,Vol.8,No.3,Pp1-40

Girard, C.; Sobczak(2013), A. Towards a Model of Corporate and Social Stakeholder Engagement: Analyzing the Relations between a French Mutual Bank and Its Members. J. Bus. Ethics. Vol.107,No.3,Pp 215–225.

Howlett, M.; Kim, J.; Weaver(2008), P. Assessing Instrument Mixes through Program-and Agency-Level Data: Methodological Issues in Contemporary Implementation Research. Rev. Policy Res.Vol.8 ,No.23, Pp129–151.

Kang, I., Jee, H.S., & Shin, M.M. (2018). Affective Policy Performance Evaluation Model : A Case of an International Trade .Policy Implementation.Vol.9,No.6,Pp45-60

Kang, I, Shin.M.M.Lee,I.(2014). Service Evaluasion Model for Medical Tour Service.Hosp Tour .Res.Vol3,No.38, Pp506-527.

Kennedy, J. Eberhart, R. (2002). Particle swarm optimization, Proceedings of IEEE International. Conference Networks on Neural .Vol.19,No.42,Pp67-80.

Krause.J.J (2010), A survey of swarm algorithms applied to discrete optimization problems, in: X.-S.Z. Yang (Ed.), Swarm Intelligence and Bio-InspiredComputation: Theory and Applications,Vol.7,No.4,Pp97-127.

Leeuw, F. The Carrot.(2008): Subsidies as a Tool of Government-Theory and Practice. In Carrots, Sticks, and Sermons: Policy Instruments and Their Evaluation; Bemelmans-Videc. Vol.9,No.2,Pp7-18.

Liao, S. H., & Hu, T. C. (2007). Knowledge transfer and competitive advantage on environmental uncertainty: An empirical study of the Taiwan's industry. Technovation,Vol.7,No.27, Pp402-411.

Lyon, T.; Maxwell, J(2009). Environmental Public Voluntary Programs Reconsidered. Policy Stud.Vol.5,No.35, Pp723–750.

Martin KD, Cullen JB.(2010) Continuities and extensions of ethical climate theory: A metaanalysis review. Journal of Business Ethics,Vol.8,No.69,Pp175- 194.

Oshri, I., Kotlarsky, J., & Willcocks, L. P. (2015). The Handbook of Global Outsourcing

and Offshoring. UK: Palgrave Macmillan.Vol.3,No.8,Pp78-90.

Rist, R.C., Vedung, E., Eds.(2007); Transaction Publishers.Brunswick, NJ, USA, Vol.8,No.6,Pp77–102.

Sapuan SM, Megat Ahmad MMH, Hamouda AMS (2012). Modeling the technology transfer process in the petroleum industry:Evidence from Libya. Mathematical and Computer Modelling.Vol.9,No.55,Pp 451-470.

Singh, L. Joseph, K. & Johnson, D (2015). Technology, Innovations & Economic

Development: Essays in Honour.New Dehli, India: Sage Publications. Vol.8,No.3,Pp89-102.

Waroonkun, T. (2007). Modelling international technology transfer in Thai construction projects, Griffith University-Gold Coast Campus,Vol.17,No.6,Pp90-110.

Zhenhua, G. & Yao, S. (2015). Intellectual Property Rights Protection, Technology  Innovation and Technology Transfer: From the Perspective of Developing Countries. Industrial Economics Research, Vol.3,No.7,Pp7-30.

 

Keywords
Technology transfer
production factors
Metaheuristic algorithm
Human resource training
Learning organizations

  1. Appiah-Adu K, Okpattah B, Djokoto J(2016). Technology transfer, outsourcing, capability and performance: A comparison of foreign and local firms in Ghana, Technology in Society, doi: 10.1016.2016.Vol.6,No.2,Pp.18-30.

    Bak,o (2012). Universities: can they be considered as learning organizations. Apreliminary micro-level perspective. The learning organization. Vol.19,No.2.Pp163-172

    1. Chemat, M.K. Khan (2011). Applications of ultrasound in food technology: processing, preservation and extraction, Ultrason. Sonochem.Vol.5,No.4,Pp813–835.

    Choon, M.S. Battistella, C., De Toni, A(2015). Inter-organisational technology/knowledge transfer: a framework from critical literature review. The Journal of Technology Transfer,doi:10.1007/S 10961-015-9418-7,Vol.8,No.3,Pp1-40

    Girard, C.; Sobczak(2013), A. Towards a Model of Corporate and Social Stakeholder Engagement: Analyzing the Relations between a French Mutual Bank and Its Members. J. Bus. Ethics. Vol.107,No.3,Pp 215–225.

    Howlett, M.; Kim, J.; Weaver(2008), P. Assessing Instrument Mixes through Program-and Agency-Level Data: Methodological Issues in Contemporary Implementation Research. Rev. Policy Res.Vol.8 ,No.23, Pp129–151.

    Kang, I., Jee, H.S., & Shin, M.M. (2018). Affective Policy Performance Evaluation Model : A Case of an International Trade .Policy Implementation.Vol.9,No.6,Pp45-60

    Kang, I, Shin.M.M.Lee,I.(2014). Service Evaluasion Model for Medical Tour Service.Hosp Tour .Res.Vol3,No.38, Pp506-527.

    Kennedy, J. Eberhart, R. (2002). Particle swarm optimization, Proceedings of IEEE International. Conference Networks on Neural .Vol.19,No.42,Pp67-80.

    Krause.J.J (2010), A survey of swarm algorithms applied to discrete optimization problems, in: X.-S.Z. Yang (Ed.), Swarm Intelligence and Bio-InspiredComputation: Theory and Applications,Vol.7,No.4,Pp97-127.

    Leeuw, F. The Carrot.(2008): Subsidies as a Tool of Government-Theory and Practice. In Carrots, Sticks, and Sermons: Policy Instruments and Their Evaluation; Bemelmans-Videc. Vol.9,No.2,Pp7-18.

    Liao, S. H., & Hu, T. C. (2007). Knowledge transfer and competitive advantage on environmental uncertainty: An empirical study of the Taiwan's industry. Technovation,Vol.7,No.27, Pp402-411.

    Lyon, T.; Maxwell, J(2009). Environmental Public Voluntary Programs Reconsidered. Policy Stud.Vol.5,No.35, Pp723–750.

    Martin KD, Cullen JB.(2010) Continuities and extensions of ethical climate theory: A metaanalysis review. Journal of Business Ethics,Vol.8,No.69,Pp175- 194.

    Oshri, I., Kotlarsky, J., & Willcocks, L. P. (2015). The Handbook of Global Outsourcing

    and Offshoring. UK: Palgrave Macmillan.Vol.3,No.8,Pp78-90.

    Rist, R.C., Vedung, E., Eds.(2007); Transaction Publishers.Brunswick, NJ, USA, Vol.8,No.6,Pp77–102.

    Sapuan SM, Megat Ahmad MMH, Hamouda AMS (2012). Modeling the technology transfer process in the petroleum industry:Evidence from Libya. Mathematical and Computer Modelling.Vol.9,No.55,Pp 451-470.

    Singh, L. Joseph, K. & Johnson, D (2015). Technology, Innovations & Economic

    Development: Essays in Honour.New Dehli, India: Sage Publications. Vol.8,No.3,Pp89-102.

    Waroonkun, T. (2007). Modelling international technology transfer in Thai construction projects, Griffith University-Gold Coast Campus,Vol.17,No.6,Pp90-110.

    Zhenhua, G. & Yao, S. (2015). Intellectual Property Rights Protection, Technology  Innovation and Technology Transfer: From the Perspective of Developing Countries. Industrial Economics Research, Vol.3,No.7,Pp7-30.

     

Educational Development of Judishapur
Volume 12, Issue 2
Quarterly Journal of Summer 2021
Autumn 2021
Pages 657-665