Implementing Bounded Linear Programming and Analytical Network Process Fuzzy Models to Motivate Employees: a Case Study
Subject Areas : Business and MarketingAli Mostafaeipour 1 , Hasan Khademi Zare 2 , Tahere Aliheidari 3 , Ahmad Sedaghat 4
1 - Industrial Engineering Department, Yazd University, Yazd, Iran
2 - Industrial Engineering Department, Yazd University, Yazd, Iran
3 - Industrial Engineering Department, Yazd University, Yazd, Iran
4 - Austalian College in Kuwait.
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Abstract :
Anghelache, V., (2015). A possible explanatory model for the relationship between teaching motivation and job satisfaction. Procedia - Social and Behavioral Sciences 180, 235-240.
Armstrong, M., (1991). Personal Management Practice. 4th ed; kogan, 157-166.
Asghari, M., Nezhadali, S. (2016). Fuzzy Programming for Parallel Machines Scheduling: Minimizing Weighted Tardiness/Earliness and Flow time through Genetic Algorithm. Journal of Optimization in Industrial Engineering 19, 97-103.
Baay, P.E. , de Ridder, D. T.D., Eccles, J.S., van der Lippe, T., van AkenM.A.G., (2014). Self-control trumps work motivation in predicting job search behavior. Journal of Vocational Behavior 85, 443-451.
Babaesmailli, M., Arbabshirani, B., & Golmah, V. (2012). Integrating analytical network process and fuzzy logic to prioritize the strategies – A case study for tile manufacturing firm. Expert Systems with Applications 39(1), 925–935.
Baron, R. A., (1986). Behavior in organization: Allyn and Bacon, 2nd ed, 78-90.
Bassett- Jones, N. & Lloyd, G.C., (2005). Does Herzberg’s motivation theory have staying power. Journal of management development 24(10), 929-943.
Broadbridg, A. & Parsons, E., (2006). Job motivation and satisfaction: Unpacking the key factors for charity shop managers. Journal of Training and consumer services 13(2), 121-131.
Davis, K, Newstorn, J., (1989). Organizational behavior, 8th ed, McGraw-Hill, New York, USA. 215-249.
Eydi, A., Farughi, H., Abdi, F. (2016). A Hybrid Method Based on Fuzzy AHP and VIKOR for the Discrete Time-Cost-Quality Trade-off Problem. Journal of Optimization in Industrial Engineering 19, 105-116.
Faezy Razi, F. (2015). A Grey-Based Fuzzy ELECTRE Model for Project Selection. Journal of Optimization in Industrial Engineering 17, 57-66.
Freedman, S.M., Phillips J.S., (1985). The effects of situational performance constraints on intrinsic motivation and satisfaction. The roles of perceived competence and self-determination. Organizational Behavior and Human Decision Processes35, 397–416.
Furnham, M., Petrides, K.W., Jacgson, C.J. & Coter, T., (2002). Do personality factors predict job satisfaction? Personality and individual differences 33, 1325-1342.
Ghasemi, A., (2006). Analytical survey of motivation effects on productivity improvement of labor force. Master thesis, Zahedan University, Iran.
Ghasemi, A., Golkar, M.J., Eslami, M. (2015). A New Fuzzy Stabilizer Based on Online Learning Algorithm for Damping of Low-Frequency Oscillations. Journal of Optimization in Industrial Engineering 17, 1-10.
Goles, A., Kahya,E.,(2007). A Fuzzy model for competency- based employee evaluation and selection52, 143-161.
Habibi, R., (2005). Studying of the relation between job motivation and performance of the managements. Master thesis, Tehran University, Iran.
Hair, J.F., 1995. Multivariable data analysis with readings. Prentice Hall.
Hazaweyi, S.M.M. & Samadi, A., (2005). Studying of the effective factors on motivation of employees in Hamedan province in Iran. Health Management Journal, Spring and Summer, 13-26.
Hill, R. & Maslow, A.,(1984). The philosopher who Ranked Human Weed. International Management 29, 65-70.
Hossain, S., Mahmud, S., Hossain, M. (2016). Fuzzy Multi-Objective Linear Programming for Project Management Decision under Uncertain Environment with AHP Based Weighted Average Method. Journal of Optimization in Industrial Engineering 20, 53-60.
Hosseini, J., Dehghani, M., Mostafaeipour, A., (2015). Implementing Fuzzy Logic and AHP into the EFQM Model for Performance Improvement. Applied Soft Computing. (ISI Journal). Applied Soft Computing 36, 165-176.
Kabak, M., Burmaog˘lu & Kazancog˘lu, Y. (2012). A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications 39(3), 3516–3525.
Kazemzadeh, R. B.& Hashemi, M.,(2009).A study of job motivation factors in the organization based on the Herzberg theory and proposing two measurement models for motivation and hygienefactors: a case study of the oil an energy industrial development company. Sharif journal of Science and Technology 49, 25-37.
Lawrence, K., (1984). Motivating staff. Data processing. 26(9), 17-19.
Latham,G. & Yukle, G., (1978). A Review of Research on the Application of Good Setting in Organization. Academy of Management Journal 824-845.
Liu,D.R. & Shih,Y.Y., (2005). Integrating AHP and datamining for product recommendation based on customer lifetime value. Information and Management 42(3), 387-400.
Luthan, F., (1992).Organizational Behaviors. McGraw-Hill, New York, USA.
Makui, A., Gholamian, M.R., Mohammadi, S.E. (2016). A Hybrid Intuitionistic Fuzzy Multi-criteria Group Decision Making Approach for Supplier Selection. Journal of Optimization in Industrial Engineering 20, 61-73.
Mc Calley, L., (2006). From motivation and cognition theories to every day applications and back again: the case of product, integrated information and feedback. Energy Policy 34(2), 129-137.
Morel, R., (2001). How we motivate. Occupational health and safety 70(9), 26-37.
Naeli, M. A., (2003). Factor motivation theory at work. Journal of government management 20, 48-60.
Nilashi, M., Ahmadi, H., Ahani, A., Ravangard, R., Ibrahim, O. (2016). Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP).Technological Forecasting & Social Change 111, 244–264.
Raghuvanshi, V.S., (2002). Improvement in malaria service in a urban setting: role of staff motivation. Public Heath116(6), 374-378.
Rawolle, M., Wallis, M.S.V., Badham, R., Kehr, H.M., (2016). No fit, no fun: The effect of motive incongruence on job burnout and the mediating role of intrinsic motivation. Personality and Individual Differences 89, 65-68.
Recepoglu, E., (2014). Analyzing job motivation level of high school teachers in turkey. Procedia - Social and Behavioral Sciences 116, 2220-2225.
Robbins, S.P., (1991). Organizational Behavior, 5th –ed. Prentice-Hall, 458-472.
Ruthankoon, R.& Ogunlana, S.D., (2003). Testing Herzberg’s two-factor theory in the Thai construction industry engineering. Construction and Architectural Management8(5), 333-341.
Saaty, T.L., (1980). The analytic hierarchy process, McGraw-Hill, New York.
Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., & Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert Systems with Applications 39(1), 14–24.
Shah,R., Goldstein, S.M.,(2006). Use of structural equation modeling in operation management research: looking bake and forward. Journal of operations management24(2) 148-169
Tone, R.S., (2002). Human resource management. Brisbanei 294-377
Tabarsa, Gh. & Fallah, M., (2009). A study of the relationship between the quality of work life (QWL) and staff performance. Sharif Journal of Science and Technology 49, 107-119.
Tadic, S., Zecevic, S., Krstic, M., (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications 41, 8112-8128.
Tarokh, M.J.& Nazemi, E., (2006). Performance measurement in industrial organization. Journal of Industrial Engineering International2 (3), 54-69.
Uygun, O., Kacamak, H., Kahraman, U.A., (2015). An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Computers & Industrial Engineering 86, 137-146.
Vahdani, B., Mousavi, S.M., Mousakhani, M., Hashemi, H. (2016). Time Prediction Using a Neuro-Fuzzy Model for Projects in the Construction Industry. Journal of Optimization in Industrial Engineering 19, 97-103.
Wang, X., Liu, Z., Cai, Y., (2015). A rating based fuzzy analytic network process (F-ANP) model for evaluation of ship maneuver ability. Ocean Engineering 106, 39-46.
Yardakul, M., (2002). Measuring a manufacturing systems performance using saaty's system with feedback approach. Integrated Manufacturing Systems 13(1), 25-34.
Zarei, M., Fatemi, M.R., Mortazav, M.S., Pourebrahim, S., Ghoddousi, J. (2016). Selection of the optimal tourism site using the ANP andfuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island. Ocean & Coastal Management130, 179–187.
Zaim, S., Sevkli, M., Camgöz-Akdağ, H., Demirel, O., Delen, D. (2015). Use of ANP weighted crisp and fuzzy QFD for product development. Expert Systems with Applications41 (9), 4464–4474