ORIGINAL_ARTICLE
Process Capability Studies in an Automated Flexible Assembly Process: A Case Study in an Automotive Industry
Statistical Process Control (SPC) methods can significantly increase organizational efficiency if appropriately used. The primary goal of process capability studies is to obtain critical information about processes to render them even more effective. This paper proposes a comprehensive framework for proper implementation of SPC studies, including the design of the sampling procedure and intervals as well as process capability indices. Some of the most essential process capability indices in the literature were reviewed to develop a methodology to utilize process capability indices within the SPC framework. The current study presents an efficiency-oriented criterion designed for measuring SPC implementation productivity. The framework is applied to the windshield installation process of an Iranian automobile assembly line. The process was sampled in various sessions. Results verify that the implemented SPC framework could successfully improve the process and that the proposed framework could significantly address bottleneck in the process and enhance the quality level of the process from satisfactory to excellent according to the reference values of process capability indices. Managerial insights are also drawn from results.
https://ijms.ut.ac.ir/article_76611_67e7d580498335bfef8b197caf51779e.pdf
2021-01-01
1
37
10.22059/ijms.2020.222198.672415
Statistical Process Control
Process Capability Indices
Automobile Assembly Facility
Windshield installation process.
Bakhtiar
Ostadi
bostadi@modares.ac.ir
1
Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran
LEAD_AUTHOR
Mohammadreza
Taghizadeh Yazdi
mrtaghizadeh@ut.ac.ir
2
Department of Industrial Management, Faculty of Management, University of Tehran, Iran
AUTHOR
Abdolkarim
Mohammadi Balani
a_mohammadi@modares.ac.ir
3
Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran
AUTHOR
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ORIGINAL_ARTICLE
Product Positioning as a Moderator for Halal Cosmetic Purchase Intention
Consumers have been spoiled by the quality of Halal products available on the market. However, existing literature has lacked recognition for consumer Halal cosmetic products. Therefore, this study enhances the body of knowledge about consumer attitude and intention to purchase Halal cosmetic products. Specifically, this article will discuss the moderating effect positioning has on attitude with purchase intention and subjective norms and purchase intention. While this study focuses on cosmetic products, it will also help to clarify situations of less favourable attitudes for Halal cosmetics compared to Halal food products. The study analyses a total of 359 valid questionnaires using partial least squares structural equation modelling. The analyses reveal that attitude and subjective norms have positive relationships with purchase intention for cosmetic products. This study confirms a significant relationship for baseline variables of Theory of Reason Action with consumer purchase intention. Product positioning is significantly prominent as a moderator in assessing the influence of attitude on consumer purchase intention. Halal cosmetic products have been well positioned in the market. In general, the findings provide a consumer perspective for Halal cosmetic product positioning that influences the purchase intention and moderates its relationship with attitude. Research limitations/implications – The study only focus on the consumers of Halal cosmetics by empirically validating the role of attitude and positioning on the prediction of purchase intention. Additionally, it proves the moderating role of positioning in the relationship between attitude and purchase intention. Thus, the perspective of consumers from other industries might provide different results. Practical implications – The study proves the importance of Halal positioning in influencing consumers attitudes towards Halal cosmetic products. Thus, marketing practitioners should leverage on a Halal positioning strategy to achieve competitive advantage.
https://ijms.ut.ac.ir/article_76603_e9abbf9f37c42a53eed0ff0f88669b18.pdf
2021-01-01
39
60
10.22059/ijms.2020.279978.673617
consumer behaviour
Halal cosmetics positioning
Attitude
subjective norms
Nor Rahimy
Khalid
norrahimykhalid@yahoo.com
1
Commerce Department, Politeknik Nilai, Bandar Enstek 71760, Labu Negeri Sembilan Malaysia.
AUTHOR
Che Aniza
Che Wel
aniza@ukm.edu.my
2
Faculty of Economics and Management, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Malaysia.
LEAD_AUTHOR
Suraya Akmar
Mokhtaruddin
surayaakmar76@gmail.com
3
Commerce Department, Politeknik Ungku Omar, 31400 Ipoh, Perak Malaysia
AUTHOR
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64
ORIGINAL_ARTICLE
Manager Optimism Based on Environmental Uncertainty and Accounting Conservatism
It is expected that more accounting conservation (environmental uncertainty) reduces manager optimism. Prior research, however, has struggled to establish this relation empirically. Moreover, some evidence points to the possibility that the manager optimism is lower for firms with more accounting conservation. In this paper, the author examine the link between accounting conservation, environmental uncertainty, and manager optimism, as well as the link between accounting conservation, manager optimism, and the cost of capital. First, it is established that more accounting conservation could lead to a decrease in manager optimism. Second, I tried to show that manager optimism changes the cost of capital in the accounting conservation quintile. Consistent with a negative relationship between accounting conservation and manager optimism, and with the dominating effect of managers' optimism , the article documented a positive association between managers' optimism and the cost of capital for firms whose shares trade in low accounting conservation.
https://ijms.ut.ac.ir/article_77471_3a2ad50924f92de2efaa7ebcc2a050b3.pdf
2021-01-01
61
86
10.22059/ijms.2020.290260.673811
Environmental uncertainty
Accounting Conservatism
Manager Optimism
Mohsen
Rashidi
rashidi.m@lu.ac.ir
1
Assistant Professor in accounting, Faculty of Economics and Administrative Sciences, Lorestan University, Iran
LEAD_AUTHOR
Adner, R., & Levinthal, D. A. (2004). What is not a real option: Considering boundaries for the application of real options to business strategy. Academy of Management Review, 29 (1), 74–85.
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5
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7
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8
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9
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10
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Manager Optimism Based on Environmental Uncertainty and Accounting Conservatism 85
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ORIGINAL_ARTICLE
A DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the target market determination. Real time decision making is a crucial task for obtaining competitive advantage. Decision Support Systems (DSSs) can be an appropriate process for taking real time decisions. DSSs are classified as information system based computational systems helping in decision making supporting business decision making and facilitate data collection and processing within market analysis. In this paper, different markets exist that are supplied by a producer. The producers need to find out which markets provide more profits for more marketing focuses. All consumers’ transactions are recorded in databases as unstructured data. Then, neural network is employed for large amount of data processing. Outputs are inserted to an economic producer behaviour mathematical model and integrated with a proposed dynamic program to find the optimal chain of markets. The sensitivity analysis is performed using pricing concept. The applicability of the model is illustrated in a numerical example.
https://ijms.ut.ac.ir/article_76601_8a1751103fa4fe71718ddf6a7519c5b8.pdf
2021-01-01
87
106
10.22059/ijms.2020.269091.673397
Information Technology (IT)
Decision Support Systems (DSS)
Perceptron Neural Network
Dynamic programming (DP)
Hamed
Fazlollahtabar
hfazl@iust.ac.ir
1
Department of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran
LEAD_AUTHOR
Aragon-Correa, J. A., Matıas-Reche, F., & Senise-Barrio, M. E. (2004). Managerial discretion and corporate commitment to the natural environment. Journal of Business Research, 57, 964–975.
1
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5
Boshkoska, B. M., Liu, S., Zhao, G., Fernandez, A., Gamboa, S., Pino, M.D., Zarate, P., Hernandez, J. & Chen, H. (2019). A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. Computers in Industry, 110, 64-80.
6
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7
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Clemens, B., & Douglas, T. J. (2006). Does coercion drive firms to adopt ‘voluntary’ green initiatives? Relationships among coercion, superior firm resources, and voluntary green initiatives. Journal of Business Research, 59, 483–491.
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A DSS-Based Dynamic Programming for Finding Optimal Marke … 105
11
systems. Journal of Manufacturing Systems, 52(Part A), 110-120.
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14
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15
Jallat, F., & Ancarani, F. (2008). Yield management, dynamic pricing and CRM in telecommunications. Journal of Services Marketing, 22(6), 465-478.
16
Johnson, J. P. (2020). The agency and wholesale models in electronic content markets. International Journal of Industrial Organization, 69, 102581. https://doi.org/10.1016/j.ijindorg.2020.102581.
17
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18
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20
Murgia, M., Pinna, A., Gottardo, P., & Bosetti, L. (2019). The impact of large orders in electronic markets. International Review of Economics & Finance, 59, 174-192.
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106 (IJMS) Vol. 14, No. 1, Winter 2021
22
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23
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24
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Zhai, Z., Martínez, J. F., Beltran, V., Martínez, N.L., Zhai, Z., Martínez, J.F., Beltran, V., & Martínez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170, 105256, https://doi.org/10.1016/j.compag.2020.105256.
31
ORIGINAL_ARTICLE
Who is an Ideal Organizational Leader in Iran? Examining the Content, Structure, and Consequences of Iranian Implicit Leadership Theories (IILTS)
Implicit Leadership Theories (ILTs) are individuals’ perceptions of the traits and behaviors characterizing leaders. Four studies investigated the reliabilities and different types of validities for a scale developed to measure Iranian Implicit leadership Theories (IILTs). Study 1 used a qualitative method to extract the implicit theories of ideal leadership after interviewing 27 experts. The IILTs are represented by a first-order eight-factor model (Inspiring, Supportive, Accountable, Emotionally Mature, Decisive, Self-protective, Deceptive and Narrow-minded), and a second-order two-factor model (Prototypes and Anti-prototypes). In Study 2, exploratory factor analysis was used to identify the factor structure and further refine and examine the internal consistencies of the discovered factors. The analysis proved the factor structure of IILTs. Study 3 tested the convergent and discriminant validities of the developed scale for IILTs, and the results supported the validity of the developed scale. Study 4 investigated incremental and criterion validities via using two variables of LMX and job satisfaction. These studies provide convergent evidence that IILTs is a valid scale to be used in research. Ultimately, future research venues and practical implications are discussed.
https://ijms.ut.ac.ir/article_77625_6fffaa3516d85af0db6911ee1b3a09b7.pdf
2021-01-01
107
140
10.22059/ijms.2020.290291.673813
Implicit Leadership Theories
Iran
prototypes
Anti-prototypes
Categorization theory
Mohammad Sadegh
Sharifirad
ili_teacher@yahoo.com
1
Department of Management, Faculty of Humanities and Social Sciences, Ardakan University, Ardakan, Iran
LEAD_AUTHOR
A’yuninnisa, R. N. A., Haqqi, M. F. H., Rusli, N. B., & Puteri, N. (2020). Indonesian implicit leadership theory: Typical and positive leadership prototypes for Indonesian millennials. Asian Journal of Social Sciences and Management Studies, 7(1), 1-7.
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50
ORIGINAL_ARTICLE
Solving a Two-Period Cooperative Advertising Problem Using Dynamic Programming
Cooperative advertising is a cost-sharing mechanism in which a part of retailers' advertising investments are financed by the manufacturers. In recent years, investment among advertising options has become a difficult marketing issue. In this paper, the cooperative advertising problem with advertising options is investigated in a two-period horizon in which the market share in the second period depends on the decisions made in the first period. The problem is solved for two cases of the absence and presence of cooperative advertising contract, and the results are compared. The solution to the problem is presented using the concepts of the Nash equilibrium, Stackelberg game, stochastic games, and dynamic programming. The computational results using numerical examples show that if the cooperative advertising contract is offered in the win-win condition, the players’ profit will increase significantly.
https://ijms.ut.ac.ir/article_76602_c58b84c2cba960ed6e4addc57c595a7a.pdf
2021-01-01
141
161
10.22059/ijms.2020.278729.673594
Cooperative advertising
Game theory
stochastic games
advertising options
Saeed
Alaei
s.alaei@khatam.ac.ir
1
Department of Industrial Engineering, Khatam University, Tehran, Iran
LEAD_AUTHOR
Neda
Manavizadeh
n.manavi@khatam.ac.ir
2
Department of Industrial Engineering, Khatam University, Tehran, Iran
AUTHOR
Masoud
Rabbani
mrabani@ut.ac.ir
3
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AUTHOR
Alaei, S., Alaei, R., & Salimi, P. (2014). A game theoretical study of cooperative advertising in a single-Manufacturer-two-retailers supply chain. The International Journal of Advanced Manufacturing Technology, 74(1-4), 101-111. Alaei, S., & Setak, M. (2016). Supply chain coordination via two-way cooperative advertising contract considering competing retailers. Scientia Iranica, 23(5), 2330-2340. Aust, G., & Buscher, U. (2014a). Cooperative advertising models in supply chain management: A review. European Journal of Operational Research, 234(1), 1-14. Aust, G., & Buscher, U. (2014b). Vertical cooperative advertising in a retailer duopoly. Computers & Industrial Engineering, 72, 247-254. Bergen, M., & John, G. (1997). Understanding cooperative advertising participation rates in conventional channels. Journal of Marketing Research, 34(3), 357-369. Berger, P. D. (1972). Vertical cooperative advertising ventures. Journal of Marketing Research, 9(3), 309-312. Brennan, L. (1988). How retailers are putting it all together. Sales and Marketing Management, 5, 62-65. Chen, T. H. (2011). Coordinating the ordering and advertising policies for a single-period commodity in a two-level supply chain. Computers & Industrial Engineering, 61(4), 1268-1274. Chutani, A., & Sethi, S. P. (2012). Cooperative advertising in a dynamic retail market oligopoly. Dynamic Games and Applications, 2(4), 347-375.
1
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2
160 (IJMS) Vol. 14, No. 1, Winter 2021
3
Giri, B. C., & Sharma, S. (2014). Manufacturer's pricing strategy in a two-level supply chain with competing retailers and advertising cost dependent demand. Economic Modelling, 38, 102-111. He, Y., Liu, Z., & Usman, K. (2014). Coordination of cooperative advertising in a two-period fashion and textiles supply chain. Mathematical Problems in Engineering, 2014, 1-10.
4
He, Y., Wang, H., Guo, Q., & Xu, Q. (2019). Coordination through cooperative advertising in a two-period consumer electronics supply chain. Journal of Retailing and Consumer Services, 50, 179-188. Hong, X., Xu, L., Du, P., & Wang, W. (2015). Joint advertising, pricing and collection decisions in a closed-loop supply chain. International Journal of Production Economics, 167, 12-22. Jørgensen, S., Taboubi, S., & Zaccour, G. (2001). Cooperative advertising in a marketing channel. Journal of Optimization Theory and Applications, 110(1), 145-158. Jørgensen, S., & Zaccour, G. (2003). A differential game of retailer promotions. Automatica, 39(7), 1145-1155. Jørgensen, S., & Zaccour, G. (2014). A survey of game-theoretic models of cooperative advertising. European Journal of Operational Research, 237(1), 1-14. Karray, S., & Hassanzadeh-Amin, S. (2015). Cooperative advertising in a supply chain with retail competition. International Journal of Production Research, 53(1), 88-105. Karray, S., Martín-Herrán, G., & Sigué, S. P. (2017). Cooperative advertising for competing Manufacturers: The impact of long-term promotional effects. International Journal of Production Economics, 184, 21-32. Karray, S., & Zaccour, G. (2007). Effectiveness of coop advertising programs in competitive distribution channels. International Game Theory Review, 9(2), 151–167. Lieb, R. (2012). Co-op advertising: Digital’s lost opportunity? Report, Interactive Advertising Bureau, Local Search Association. Martín-Herrán, G., & Sigué, S. P. (2017). An integrative framework of cooperative advertising: Should manufacturers continuously
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Solving a Two-Period Cooperative Advertising Problem Using Dynamic Programming 161
6
support retailer advertising? Journal of Business research, 70, 67-73. Nash Jr, J. F. (1950). The bargaining problem. Econometrica: Journal of the Econometric Society, 18(2), 155-162. Von Stackelberg, H. (1934). Marktform und gleichgewicht. Springer. SeyedEsfahani, M. M., Biazaran, M., & Gharakhani, M. (2011). A game theoretic approach to coordinate pricing and vertical co-op advertising in Manufacturer–retailer supply chains. European Journal of Operational Research, 211(2), 263-273. Xiao, T., Yan, X., & Zhao, J. (2010). Coordination of a supply chain with advertising investment and allowing the second ordering. Technology and Investment, 1(3), 191-200.
7
Xu, Q., Xu, B., Bo, Q., & He, Y. (2019). Coordination through cooperative advertising in a two-period supply chain with retail competition. Kybernetes, 48(6), 1175-1194. Yang, J., Xie, J., Deng, X., & Xiong, H. (2013). Cooperative advertising in a distribution channel with fairness concerns. European Journal of Operational Research, 227(2), 401-407. Zhang, H., & Zhong, S. (2011, December). Co-op advertising analysis within a supply chain based on the product life cycle. Seventh International Conference on Computational Intelligence and Security, CIS 2011, Sanya, Hainan, China, December 3-4, 2011 (pp. 1456-1460). Zhao, L., Zhang, J., & Xie, J. (2016). Impact of demand price elasticity on advantages of cooperative advertising in a two-tier supply chain. International Journal of Production Research, 54(9), 2541-2551. Zhou, E., Zhang, J., Gou, Q., & Liang, L. (2015). A two period pricing model for new fashion style launching strategy. International Journal of Production Economics, 160, 144-156.
8
ORIGINAL_ARTICLE
Determination of Financial Failure Indicators by Gray Relational Analysis and Application of Data Envelopment Analysis and Logistic Regression Analysis in BIST 100 Index
Financial failure prediction models have been developed by using Logistic Regression (LR) analysis from traditional statistical methods and Data Envelopment Analysis (DEA), which is a mathematically based nonparametric method over the financial reports of the companies traded in The Istanbul Stock Exchange National 100 Index (BIST 100) between the years 2014-2016. In the development of these models, the variables included in the model are as important as the method applied. For this reason, the gray relational analysis method has been considered in determining the indicators that affect the financial situation of the companies. As a result of the analysis, it was determined that the LR model, which is one of the prediction models, has a higher rate of prediction power than the data envelopment analysis in predicting the financial failure of the companies. However, DEA is also an easy and fast method for predicting financial failures, and is recommended to companies on the indicators that they need to improve in order to be successful. As a result of the study, it has been found that both methods are feasible in the prediction of financial failure, but these methods also have different advantages and disadvantages.
https://ijms.ut.ac.ir/article_77046_fc458eeb91bca3c44d683055469ace3b.pdf
2021-01-01
163
187
10.22059/ijms.2020.299263.673998
Financial failure
Gray Relational Analysis
Data Envelopment Analysis
Logistic regression
Ebru
Nurcan
ebrunurcan@gmail.com
1
Department of Business Administration, Faculty of Economics and Administrative Sciences, Akdeniz University, Antalya, Turkey
LEAD_AUTHOR
Can
Deniz Köksal
candeniz@akdeniz.edu.tr
2
Department of Business Administration, Faculty of Economics and Administrative Sciences, Akdeniz University, Antalya, Turkey
AUTHOR
Aktaş, R. (1997). Mali başarısızlık (işletme riski) tahmin modelleri. Ankara: Türkiye İş Bankası Kültür Yayınları.
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Altan, M., & Candoğan, M. A. (2014). Bankaların finansal performanslarının değerlemesinde geleneksel ve gri ilişki analizi: Katılım bankalarında karşılaştırılmalı bir uygulama. Selçuk Üniversitesi İktisadi ve İdari Bilimler Fakültesi Sosyal ve Ekonomik Araştırmalar Dergisi, 14(27), 374-396.
2
Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23(4), 589-609.
3
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7
Chen, M. (2011). Predicting corporate financial distress based on integration of decision tree classification and logistic regression. Expert Systems with Applications, 38(9), 11261-11272.
8
Cielen, A., Peeters, L., & Vanhoof, K. (2004). Bankruptcy prediction using a data envelopment analysis. European Journal of Operational Research, 154(2), 526-532.
9
Feng, C., & Wang, R. (2000) Performance evaluation for airlines including the consideration of financial ratios. Journal of Air Transport Management, 6(3), 133-142.
10
Huang, C., Dai, C., & Guo, M. (2015). A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection. Applied Mathematics and Computation, 251(C), 431-441.
11
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13
Jawabreh, O. A., Rawashdeh, A. F., & Senjelawi, O. (2017). Using Altman's z-score model to predict the financial failure of hospitality companies-case of jordan. International Journal of Information, Business and Management, 9(2), 144-160.
14
Kuo, Y., Yang, T., & Huang G. W. (2008). The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering, 55(1), 80-93.
15
Küçükönder, H., Efe, E., Akyol, E., Şahin, M., & Üçkardeş, F. (2004). Çok değişkenli istatistiksel analizlerin hayvancılıkta kullanımı. In 4th National Animal Science Congress, (pp.550-555). Isparta, Turkey: (Oral proceedings book).
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Li, Z., Crook, J., & Andreeva, G. (2014). Chinese companies distress prediction: An application of data envelopment analysis. Journal of the Operational Research Society, 65, 466-479.
17
Li, Z., Crook, J., & Andreeva, G. (2017). Dynamic prediction of financial distress using malmquist DEA, Expert Systems with Applications, 80, 94-105.
18
Manaseer, R. S., & Oshaibat, D. S. (2018). Validity of Altman z score model to predict financial failure: Evidence from Jordan. International Journal of Economics and Finance, 10(8), 181-189.
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Mellahi, K., & Wilkinson, A. (2004). Organizational failure: A critique of recent research and a proposed integrative framework. International Journal of Management Reviews, 5(6), 21-41.
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Min, J. H., & Lee, Y. C. (2008). A practical approach to credit scoring. Expert Systems with Applications, 35, 1762-177.
21
Monelos, L. P., Sanchez, P. C., & Lopez, R. M. (2011). DEA as a business failure prediction tool application to the case of Galician SMEs. Contaduría y Administración, 59(2), 65-96.
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25
Özdemir, S. F. (2011). Finansal başarısızlık ve finansal tablolara dayalı tahmin yöntemleri. Ankara: Siyasal Kitabevi.
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29
Premachandra, I., Chen, Y., & Watson, J. (2011) DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment. Omega, 39, 620-626.
30
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37
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42
ORIGINAL_ARTICLE
Mathematical Modeling for a Flexible Manufacturing Scheduling Problem in an Intelligent Transportation System
This paper presents a new mathematical model for a production system through a scheduling problem considering a material handling system as an intelligent transportation system by automated guided vehicles (AGVs). The traditional systems cannot respond to the changes and customer’s demands and for this reason, a flexible production system is used. Therefore, for this purpose, automated transportation systems are used for more flexibility in production. Thus, several AGVs are considered to perform various jobs among different machines and warehouses. In this production system, there are possibilities of failure and breakdown of AGVs and machines simultaneously. A modified rate is considered for determining the maintenance duration time as a percentage of the setup time when the maintenance time is dependent on the total setup time of machines and the total transfer jobs time of AGVs. Hence, we consider the probability of breakdown of AGVs and machines simultaneously and show the effect of these problems. The objective function is to minimize the maximum completion time (i.e., makespan or Cmax), the tardiness penalty, and the total transportation cost bearing in mind that the impact of new constraints with mathematical innovation on how failure and repair time are affected by the entire production scheduling. The proposed model belongs to mixed-integer linear programming (MILP). Finally, several small-sized problems are generated and solved by the CEPLEX solver of GAMS software to show the efficiency of the proposed model.
https://ijms.ut.ac.ir/article_77191_f1c4c59163990cfffe594c3f0d7f76f6.pdf
2021-01-01
189
208
10.22059/ijms.2020.261618.673203
Flexible job shop scheduling
Automated guided vehicle
Tardiness
Makespan
Ali
Jahed
alijahed.ie@gamil.com
1
School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
AUTHOR
Reza
Tavakkoli Moghaddam
tavakoli@ut.ac.ir
2
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
LEAD_AUTHOR
Chaudhry, I. A., Mahmood, S., & Shami, M. (2011). Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms. Journal of Central South University of Technology, 18(5), 1473.
1
Corréa, A. I., Langevin, A., & Rousseau, L. M. (2007). Scheduling and routing of automated guided vehicles: A hybrid approach. Computers & operations research, 34(6), 1688-1707.
2
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ORIGINAL_ARTICLE
Iran`s Intra-Industry Trade Based on a Schumpeterian Factor Endowment Model
The role of intra-industry trade has been emphasized in international commerce since the 1960s. Innovation and government size, which affect goods and services production and government presence in international commerce, have also been highlighted since then. This study examines the influence of these two factors on international trade and estimates their effects in linear and logistic transformation models from the years 2000 to 2016 using HS four-digit codes. This research focuses on 20 main import and export industries of Iran and selected commercial partners. The authors estimate the model using the bidirectional panel data method and analyze the data using Stata 15 software. Results indicate that in both models there is a U-shaped relationship (non-linear) between innovation and intra-industry trade. However, government size increases intra-industry trade in these models. Linder variables decrease intra-industry trade but GDP per capita increases intra-industry trade. Other control variables (geographical distance and membership in economic organizations) show the expected impact on intra-industry trade.
https://ijms.ut.ac.ir/article_76604_323c3d9f5587ad83a0cc5da9992ab780.pdf
2021-01-01
209
243
10.22059/ijms.2020.290967.673831
Intra-industry trade
Innovation
Government Size
Panel-Data
Schumpeterian Model
Zahra
Najafi
najafi.29@gmail.com
1
Department of Economics,University of Payame Noor, Tehran, Iran
LEAD_AUTHOR
Majid
Sameti
sameti.majid.ui@gmail.com
2
Associate Professor of Economics, Faculty of Economic, University of Isfahan, Isfahan, Iran.
AUTHOR
Karim
Azarbaiejani
azarbaiejani@yahoo.co.in
3
Professor of Economics, Faculty of Economic, University of Isfahan, Isfahan, Iran.
AUTHOR
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ORIGINAL_ARTICLE
The Effects of Corporate Characteristics on Managerial Entrenchment
The present study aims to assess the relationship between some corporate factors and managerial entrenchment in companies listed on the Tehran Stock Exchange during 2011-2017. Panel data regression models were used to test the hypotheses. The obtained results indicated that four corporate factors, namely real earnings management, predictable earnings management, institutional ownership, and board independence, have a significant relationship with the managerial entrenchment. In this study, the mixed index of managerial entrenchment is calculated using the principal component analysis based on four governance mechanisms of the percentage of shares available to the CEO, CEO duality, CEO compensation logarithm, and CEO tenure. This process has made the present study distinct from the previous ones, in which individual indexes were used for evaluating the entrenchment.
https://ijms.ut.ac.ir/article_77670_2b9a9b4ed01878ff93a55b141d98408e.pdf
2021-01-01
245
272
10.22059/ijms.2020.293765.673878
Corporate governance
managerial entrenchment
Earnings management
Mahdi
Salehi
mehdi.salehi@um.ac.ir
1
Faculty of Accounting, Ferdowsi University of Mashhad, Mashhad, Iran
AUTHOR
Mahmoud
Lari Dashtbayaz
m.lari@um.ac.ir
2
Faculty of Accounting, Ferdowsi University of Mashhad, Mashhad, Iran
LEAD_AUTHOR
Masoud
Mohtashami
m.mohtashami5867@gmail.com
3
Islamic Azad University, Qaenat Branch, Qaenat, Iran
AUTHOR
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