A Nash equilibrium based decision-making method for performance evaluation: a case study
暂无分享,去创建一个
Atefeh Amindoust | Javid Jouzdani | Reza Maddahi | Mansour Abedian | Atefeh Amindoust | J. Jouzdani | Reza Maddahi | Mansour Abedian
[1] N. Anbazhagan,et al. An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm , 2015, Appl. Soft Comput..
[2] Samuel Yousefi,et al. An integrated Taguchi loss function–fuzzy cognitive map–MCGP with utility function approach for supplier selection problem , 2018, Neural Computing and Applications.
[3] Ashkan Hafezalkotob,et al. A Nash bargaining model for flow shop scheduling problem under uncertainty: a case study from tire manufacturing in Iran , 2018 .
[4] David Otley,et al. Performance Management: A Framework for Management Control Systems Research , 1999 .
[5] Niu Xiaohui,et al. Predicting the protein solubility by integrating chaos games representation and entropy in information theory , 2014, Expert Systems with Applications.
[6] Fang Wu,et al. Utilizing customer knowledge in innovation: antecedents and impact of customer involvement on new product performance , 2016 .
[7] Shuo-Yan Chou,et al. A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes , 2008, Eur. J. Oper. Res..
[8] Hung-Yuan Chen,et al. Optimizing product form attractiveness using Taguchi method and TOPSIS algorithm: A case study involving a passenger car , 2014, Concurr. Eng. Res. Appl..
[9] Yongjun Li,et al. A Shapley value index on the importance of variables in DEA models , 2010, Expert Syst. Appl..
[10] José L. Zayas-Castro,et al. Office-based and home-care for older adults in primary care: A comparative analysis using the Nash bargaining solution , 2020 .
[11] Sheng-Syan Chen,et al. New product strategies and firm performance: CEO optimism , 2018 .
[12] Sanjay K. Prasad,et al. Impact of bargaining power on supply chain profit allocation: a game-theoretic study , 2019, Journal of Advances in Management Research.
[13] C. Petit,et al. Adoption and use of Flash Profiling in daily new product development: a testimonial , 2015 .
[14] J. Nash. Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.
[15] Elia Daniele,et al. Application of Game Theory and Evolutionary Algorithm to the Regional Turboprop Aircraft Wing Optimization , 2019 .
[16] Hong Chen,et al. Performance changes analysis of industrial enterprises under energy constraints , 2018, Resources, Conservation and Recycling.
[17] Meilita Tryana Sembiring,et al. Balanced scorecard in the integration of corporate strategic planning and performance: a literature review , 2020, IOP Conference Series: Materials Science and Engineering.
[18] Lauro Osiro,et al. A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics , 2018 .
[19] M. Salavati,et al. A structural equation modelling to investigate and analyze the relationships among new product development, disruptive innovation, fuzzy-front end, knowledge management, and team vision , 2015 .
[20] Sérgio Pereira dos Santos,et al. Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment , 2012 .
[21] Arnold Tukker,et al. Product services for a resource-efficient and circular economy - A review , 2015 .
[22] Lincoln C. Wood,et al. Green hospital design: integrating quality function deployment and end-user demands , 2016 .
[23] Hongmei Shan,et al. A Strategic Perspective Analysis for Improving Operational Inefficiency of E-commerce Based on Integrated BSC and Super-SBM Model , 2019, ICMSS 2019.
[24] Alireza Arshadi Khamseh,et al. An optimization model of three-player payoff based on fuzzy game theory in green supply chain , 2019, Comput. Ind. Eng..
[25] Antonella Basso,et al. How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums , 2017, Omega.
[26] Fahimeh Aliakbari Nouri,et al. Developing the framework of sustainable service supply chain balanced scorecard (SSSC BSC) , 2019, International Journal of Productivity and Performance Management.
[27] J. Nash,et al. Essays on Game Theory , 1997 .
[28] Arun Kumar Sangaiah,et al. A study for project risk management using an advanced MCDM-based DEMATEL-ANP approach , 2018, J. Ambient Intell. Humaniz. Comput..
[29] K. Pathak,et al. A BSC-ANP approach to organizational outsourcing decision support-A case study , 2018, Journal of Business Research.
[30] S. G. J. Naini,et al. Designing a mixed performance measurement system for environmental supply chain management using evolutionary game theory and balanced scorecard: A case study of an auto industry supply chain , 2011 .
[31] Rabikar Chatterjee,et al. R&D, Marketing Innovation, and New Product Performance: A Mixed Methods Study , 2017 .
[32] Ying Wang,et al. A game-theoretic strategic mechanism to control brand counterfeiting , 2018 .
[33] Ali Emrouznejad,et al. Finding the optimal combination of power plants alternatives: A multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method , 2018, Journal of Cleaner Production.
[34] Seok-Hee Lee,et al. Design of a piston forging process using a hybrid Taguchi method and multiple criteria decision-making , 2017 .
[35] James E. Goldman,et al. Integration of COBIT, balanced scorecard & SSE-CMM as a strategic information security management (ISM) framework , 2009 .
[36] Luis Martínez-López,et al. Balanced scorecard-based analysis about European energy investment policies: A hybrid hesitant fuzzy decision-making approach with Quality Function Deployment , 2019, Expert Syst. Appl..
[37] Seyed Amin Seyed Haeri,et al. Airports evaluation and ranking model using Taguchi loss function, best-worst method and VIKOR technique , 2017 .
[38] Hosna Pakizehkar,et al. The Application of Integration of Kano's Model, AHP Technique and QFD Matrix in Prioritizing the Bank's Substructions , 2016 .
[39] Carlo Alberto Magni,et al. Investment Decisions and Sensitivity Analysis: NPV-Consistency of Rates of Return , 2018, Eur. J. Oper. Res..
[40] Arun Kumar Sangaiah,et al. Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem , 2020, Soft Comput..
[41] G. Dominici. Game Theory as a Marketing Tool: Uses and Limitations , 2011 .
[42] Euijong Lee,et al. A Nash equilibrium based decision-making method for internet of things , 2019 .
[43] Erik Hernandez,et al. Selective Smooth Fictitious Play: An approach based on game theory for patrolling infrastructures with a multi-robot system , 2014, Expert Syst. Appl..
[44] Ali Nazari,et al. Modeling the correlation between Charpy impact energy and chemical composition of functionally graded steels by artificial neural networks , 2012, Neural Computing and Applications.
[45] Cristiano Busco,et al. The causal relationships between performance drivers and outcomes , 2012 .
[46] Yongjun Li,et al. Allocating the fixed cost: an approach based on data envelopment analysis and cooperative game , 2019, Ann. Oper. Res..
[47] E. Roghanian,et al. Designing a performance measurement system for supply chain using balanced scorecard, path analysis, cooperative game theory and evolutionary game theory: A Case Study , 2015 .
[48] Ling Qin,et al. A game-theoretic approach for channel security against active time-varying attacks based on artificial noise , 2019, FNC/MobiSPC.
[49] Minhong Wang. A KPI-Based Approach to Performance-Oriented Workplace e-Learning , 2018 .
[50] Hao-Chen Huang,et al. Designing a knowledge-based system for strategic planning: A balanced scorecard perspective , 2009, Expert Syst. Appl..
[51] Prasanta Kumar Dey,et al. Combined quality function deployment and logical framework analysis to improve quality of emergency care in Malta. , 2016, International journal of health care quality assurance.
[52] R. Kaplan,et al. strategic learning & the balanced scorecard , 1996 .
[53] Truong Xuan Do,et al. Techno-economic analysis of fry-drying and torrefaction plant for bio-solid fuel production , 2018 .
[54] Rupesh Kumar Pandey,et al. Multi-performance optimization of bone drilling using Taguchi method based on membership function , 2015 .
[55] Rida Laraki,et al. Mathematical Foundations of Game Theory , 2019, Universitext.
[56] Christian Homburg,et al. The contingent roles of R&D–sales versus R&D–marketing cooperation in new-product development of business-to-business firms , 2017 .
[57] Taho Yang,et al. Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method , 2011 .
[58] Darek Haftor,et al. Salesforce management factors for successful new product launch , 2016 .
[59] Heesup Han,et al. Customer retention in the medical tourism industry: Impact of quality, satisfaction, trust, and price reasonableness , 2015 .
[60] Alexandre B. Lopes,et al. The Knowing-Doing Gap: How Smart Companies Turn Knowledge into Action , 1999 .
[61] Mike P. Papazoglou,et al. Design for customization : A new paradigm for product-service system development , 2017 .
[62] Panagiotis Chytas,et al. A proactive balanced scorecard , 2011, Int. J. Inf. Manag..
[63] Nathalie Bénet,et al. BSC inside a strategic management control package , 2019, Journal of Applied Accounting Research.
[64] Kai Ma,et al. A Bayesian Game Approach for Noncooperative Pricing Among Multiple Utility Companies in Smart Grid , 2018, IEEE Access.
[65] Sanjay Sharma,et al. An integrative supplier selection model using Taguchi loss function, TOPSIS and multi criteria goal programming , 2013, J. Intell. Manuf..
[66] Kaitlin Carlson. Value impacts of energy efficiency retrofits on commercial office buildings in Toronto, Canada , 2018 .
[67] Chris Develder,et al. Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility , 2019, Renewable Energy.
[68] Ding-Hong Peng,et al. An improved Taguchi multi-criteria decision-making method based on the hesitant fuzzy correlation coefficient and its application in quality evaluation , 2020, Journal of Ambient Intelligence and Humanized Computing.
[69] Mark Taylor,et al. Game theory modelling of retail marketing discount strategies , 2019, Marketing Intelligence & Planning.
[70] Heeseok Lee,et al. Corporate strategies, environmental forces, and performance measures: a weighting decision support system using the k-nearest neighbor technique , 2003, Expert Syst. Appl..
[71] Zahari Taha,et al. Fuzzy-based Taguchi method for multi-response optimization of product form design in Kansei engineering: a case study on car form design , 2016 .
[72] Peter C. Brewer,et al. ADAPTING THE BALANCED SCORECARD TO SUPPLY CHAIN MANAGEMENT. , 2001 .
[73] Luis E. Quezada,et al. A method for designing a strategy map using AHP and linear programming , 2014 .
[74] Serhat Yüksel,et al. Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach , 2019, Energy.
[75] Yongjun Li,et al. Supplier evaluation based on Nash bargaining game model , 2014, Expert Syst. Appl..
[76] William F. Lucas,et al. An Overview of the Mathematical Theory of Games , 1972 .
[77] Nicklas Holmberg,et al. IS Education Revisited: Reflections on a BSc Program in Business Information Systems Design , 2019, 2019 5th International Conference on Information Management (ICIM).
[78] Metin Dagdeviren,et al. Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm , 2010, Expert Syst. Appl..