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We develop a two-period, five-stage game model with sharing utility to analyze how a manufacturer competes with a sharing economy platform that facilitates sharing of the manufacturer's product from both a long-run and a short-run perspective. We use the subgame perfect Nash equilibrium to reveal how the manufacturer chooses its long-run (period-1) price to foster an owner base (a collection of the period-1 product buyers) that in turn affects its short-run (period-2) competition with the sharing economy platform (hereafter, platform for short). Analytical results show that (1) in the short run, an increase in the owner base has a negative (non-monotonic) impact on the profitability of the manufacturer (platform) while an increase in sharing utility negatively (positively) affects the profitability of the manufacturer (platform); (2) in the long run, the existence of the platform could be irrelevant for, pose a threat to, or benefit the manufacturer contingent upon different levels of sharing utility; (3) in the long run, a win-win scenario is attainable for both the manufacturer and platform when sharing utility is high enough. The managerial implication of this research is that the manufacturer and platform should collaborate to improve sharing utility to a sufficiently high level by enhancing the sense of community belonging, fostering benefits from sharing activities, and addressing sustainability concerns, thereby achieving a win-win result.
Fei Ye; Debing Ni; Kevin W. Li. Competition between manufacturers and sharing economy platforms: An owner base and sharing utility perspective. International Journal of Production Economics 2021, 234, 108022 .
AMA StyleFei Ye, Debing Ni, Kevin W. Li. Competition between manufacturers and sharing economy platforms: An owner base and sharing utility perspective. International Journal of Production Economics. 2021; 234 ():108022.
Chicago/Turabian StyleFei Ye; Debing Ni; Kevin W. Li. 2021. "Competition between manufacturers and sharing economy platforms: An owner base and sharing utility perspective." International Journal of Production Economics 234, no. : 108022.
As a widely used inventory management technique, multiple criteria ABC analysis is an effective way to classify inventory items into prioritized classes. Various methods have been proposed to solve the problem of multiple criteria ABC analysis. However, the information provided by experts or experienced managers is typically taken without any doubt in existing research. Little attention has been paid to the accuracy of the furnished sample classifications. To close the gap, this paper proposes a model to accommodate the possibility of misclassifications in the given information. The maximum likelihood method is used to estimate the parameters in the model. To avoid local optimum, grid search is implemented when the initial estimation is set. Odds are used to identify potential misclassifications in the given sample data. The proposed method is validated with both simulated and real-life data sets. The results show that the proposed method has a better performance in terms of classification accuracy and can learn the classification rules of experts from the training set and apply them to classify new items.
Zeyu Zhang; Kevin W. Li; Xiaolei Guo; Jun Huang. A probability approach to multiple criteria ABC analysis with misclassification tolerance. International Journal of Production Economics 2020, 229, 107858 .
AMA StyleZeyu Zhang, Kevin W. Li, Xiaolei Guo, Jun Huang. A probability approach to multiple criteria ABC analysis with misclassification tolerance. International Journal of Production Economics. 2020; 229 ():107858.
Chicago/Turabian StyleZeyu Zhang; Kevin W. Li; Xiaolei Guo; Jun Huang. 2020. "A probability approach to multiple criteria ABC analysis with misclassification tolerance." International Journal of Production Economics 229, no. : 107858.
This article addresses the issue of selecting Financial Strategies in Multi-National companies (F.S.M.). The F.S.M. typically has to consider multiple factors involving multiple stakeholders and, hence, can be handled by applying an appropriate Multi-Criteria Group Decision-Making (M.C.G.D.M.) approach. To address this issue, we develop an M.C.G.D.M. framework to tackle the F.S.M. problem. To handle inherent uncertainty in business decisions as reflected by linguistic reasoning, we embark on constructing a Linguistic Pythagorean Fuzzy (L.P.F.) M.C.G.D.M. framework that is capable of tackling both uncertain decision information and linguistic variables. The proposed approach extends the combinative distance-based assessment (C.O.D.A.S.) method into the L.P.F. environment, and processes decision input expressed as Pythagorean fuzzy sets (P.F.S.) and pure linguistic variables (rather than converting linguistic information into fuzzy numbers). The developed L.P.F.-C.O.D.A.S. technique aggregates the L.P.F. information and is applied to the F.S.M. problem with uncertain linguistic information. A comparative analysis is carried out to compare the results obtained from the proposed L.P.F.-C.O.D.A.S. approach with those from other extensions of C.O.D.A.S. Furthermore, a sensitivity analysis is conducted to check the impact of changes in a distance threshold parameter on the ranking results.
Jinming Zhou; Kevin W. Li; Tomas Baležentis; Dalia Streimikiene. Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies. Economic Research-Ekonomska Istraživanja 2020, 33, 974 -998.
AMA StyleJinming Zhou, Kevin W. Li, Tomas Baležentis, Dalia Streimikiene. Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies. Economic Research-Ekonomska Istraživanja. 2020; 33 (1):974-998.
Chicago/Turabian StyleJinming Zhou; Kevin W. Li; Tomas Baležentis; Dalia Streimikiene. 2020. "Pythagorean fuzzy combinative distance-based assessment with pure linguistic information and its application to financial strategies of multi-national companies." Economic Research-Ekonomska Istraživanja 33, no. 1: 974-998.
This article investigates a socially responsible supply chain under the cap-and-trade mechanism. Stylized centralized and decentralized models are established to characterize corporate social responsibility (CSR) in this supply chain. Analytical results reveal that the centralized case always achieves a higher socially responsible channel profit than the two decentralized models, but whether the centralized case achieves a higher pure channel profit than the decentralized scenarios depends on how heavier the weight is placed on CSR: when the weight is modest, the centralized model attains a higher pure channel profit, while a heavier weight on CSR leads to a higher pure channel profit for the two decentralized cases. We further examine how the CSR concern level and a government-set carbon cap-and-trade policy affect the operations of this socially responsible supply chain.
Zhi-Chao Zhang; Kevin W. Li; Zhi Liu; Jun Huang. Pricing decisions in a socially responsible supply chain under carbon cap-and-trade regulation. IFAC-PapersOnLine 2019, 52, 331 -336.
AMA StyleZhi-Chao Zhang, Kevin W. Li, Zhi Liu, Jun Huang. Pricing decisions in a socially responsible supply chain under carbon cap-and-trade regulation. IFAC-PapersOnLine. 2019; 52 (13):331-336.
Chicago/Turabian StyleZhi-Chao Zhang; Kevin W. Li; Zhi Liu; Jun Huang. 2019. "Pricing decisions in a socially responsible supply chain under carbon cap-and-trade regulation." IFAC-PapersOnLine 52, no. 13: 331-336.
Despite increasingly frequent business interactions between China and the West, negotiations with Chinese remain a great challenge to most Westerners. Sino-Western discrepancies in cultural values and social norms lead to massive misunderstandings and inevitable conflicts in business negotiations. Grounded on the Politeness Theory (Brown and Levinson in Politeness: some universals in language usage, Cambridge University Press, New York, 1987), this study aims to better predict Chinese negotiation behaviors from an indigenous perspective by exploring the impact of face on Chinese conflict handling strategies. With a sample of 608 Chinese business representatives, this research demonstrates the significant effect of perceived fellowship-, moral-, competence- and autonomy-face threats on Chinese conflict management styles in business negotiations. It is found that Chinese do not always act as politely and agreeably as expected when bargaining with their business partners, especially in a conflict context. Based on their perceptions of face threats induced by various conflict issues, they may adopt different strategies, ranging from competing, collaborating, compromising, accommodating to avoiding, to negotiate with their counterparts. In addition, it is confirmed that both a contextual antecedent (guanxi) and an individual trait (public self-consciousness) will significantly influence Chinese representatives’ face threat perceptions and, subsequently, determine how they will behave in business negotiations.
Zhuo-Jia Zhao; Hung-Hsin Chen; Kevin W. Li. Management of Interpersonal Conflict in Negotiation with Chinese: A Perceived Face Threat Perspective. Group Decision and Negotiation 2019, 29, 75 -102.
AMA StyleZhuo-Jia Zhao, Hung-Hsin Chen, Kevin W. Li. Management of Interpersonal Conflict in Negotiation with Chinese: A Perceived Face Threat Perspective. Group Decision and Negotiation. 2019; 29 (1):75-102.
Chicago/Turabian StyleZhuo-Jia Zhao; Hung-Hsin Chen; Kevin W. Li. 2019. "Management of Interpersonal Conflict in Negotiation with Chinese: A Perceived Face Threat Perspective." Group Decision and Negotiation 29, no. 1: 75-102.
For a two-period closed-loop supply chain (CLSC) consisting of a manufacturer and a retailer, Stackelberg game analyses are conducted to examine pricing and warranty decisions under two warranty models depending on who offers warranty for new and remanufactured products and the corresponding benchmark models with a warranty for new products only. Next, we identify the conditions under which warranty for remanufactured products is offered and investigate how this warranty affects the CLSC operations. Subsequently, comparative studies are carried out to examine equilibrium decisions, profitability and consumer surplus of the CLSC between the two warranty models. Analytical results show that offering warranty for remanufactured products does not affect new product pricing in period 2, but influences the pricing of new products in period 1 and remanufactured products in period 2, thereby enhancing remanufacturing, individual and channel profitability, and consumer surplus. Compared to the retailer warranty for remanufactured products, the manufacturer warranty can attain a more equitable profit distribution. If the warranty cost advantage of the manufacturer (retailer) is significant relative to that of the retailer (the manufacturer), the manufacturer (retailer) arises as a natural choice to offer warranty for remanufactured products as this decision enhances both profitability and consumer surplus.
Juan Tang; Bang-Yi Li; Kevin W. Li; Zhi Liu; Jun Huang. Pricing and warranty decisions in a two-period closed-loop supply chain. International Journal of Production Research 2019, 1 -17.
AMA StyleJuan Tang, Bang-Yi Li, Kevin W. Li, Zhi Liu, Jun Huang. Pricing and warranty decisions in a two-period closed-loop supply chain. International Journal of Production Research. 2019; ():1-17.
Chicago/Turabian StyleJuan Tang; Bang-Yi Li; Kevin W. Li; Zhi Liu; Jun Huang. 2019. "Pricing and warranty decisions in a two-period closed-loop supply chain." International Journal of Production Research , no. : 1-17.
From a water footprint perspective, this paper adopts Gross Domestic Product (GDP) as the influencing factor to construct a lexicographical optimization framework for optimizing water resources allocation under equity and efficiency considerations. This approach consists of a lexicographic allocation of water footprints (LAWF) model and an input-output capacity of water footprints (IOWF) model. The proposed methodology is then applied to allocate water resources in the Yangtze River Economic Belt (YREB) by employing the 2013 cross-sectional data in the area. The results show that: (1) The LAWF scheme signifies reductions in water footprints in each of the YREB administrative units, thereby significantly strengthening their IOWFs. (2) IOWFs are affected by industrial attributes and natural endowments, and the impact tends to vary across different industries and regions. (3) Policy suggestions are proposed to effectively enhance the IOWFs of the weakest industries across the three YREB regions to exploit their natural endowments.
Gang Liu; Weiqian Wang; Kevin W. Li. Water Footprint Allocation under Equity and Efficiency Considerations: A Case Study of the Yangtze River Economic Belt in China. International Journal of Environmental Research and Public Health 2019, 16, 743 .
AMA StyleGang Liu, Weiqian Wang, Kevin W. Li. Water Footprint Allocation under Equity and Efficiency Considerations: A Case Study of the Yangtze River Economic Belt in China. International Journal of Environmental Research and Public Health. 2019; 16 (5):743.
Chicago/Turabian StyleGang Liu; Weiqian Wang; Kevin W. Li. 2019. "Water Footprint Allocation under Equity and Efficiency Considerations: A Case Study of the Yangtze River Economic Belt in China." International Journal of Environmental Research and Public Health 16, no. 5: 743.
This study investigates product design and its impact on the operations of a two-echelon closed-loop supply chain (CLSC). Research findings reveal that remanufacturing does not necessarily enhance the profitability of the supplier or the manufacturer, but adjusting product-design strategies helps to curb loss if profitability suffers. An environmental impact analysis identifies an interval for the base unit remanufacturing cost, within which remanufacturing is beneficial. We then obtain the condition under which the environmental impact can be mitigated by product design. These results shed insights for supply chain managers in their operational decisions and policy-makers in properly regulating remanufacturing activities.
Zhi Liu; Kevin W. Li; Bang-Yi Li; Jun Huang; Juan Tang. Impact of product-design strategies on the operations of a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review 2019, 124, 75 -91.
AMA StyleZhi Liu, Kevin W. Li, Bang-Yi Li, Jun Huang, Juan Tang. Impact of product-design strategies on the operations of a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review. 2019; 124 ():75-91.
Chicago/Turabian StyleZhi Liu; Kevin W. Li; Bang-Yi Li; Jun Huang; Juan Tang. 2019. "Impact of product-design strategies on the operations of a closed-loop supply chain." Transportation Research Part E: Logistics and Transportation Review 124, no. : 75-91.
This paper investigates a three-echelon closed-loop supply chain (CLSC) consisting of a manufacturer, a distributor, and a retailer, where the retailer exhibits fairness concerns. Cooperative and non-cooperative game theoretic analyses are employed to characterize interactions among different parties. Analytical results confirm the conventional wisdom: with the retailer’s fairness concerns, the channel profits under the decentralized and partial-coalition models underperform that under the centralized model. To find an appropriate profit allocation scheme to coordinate the supply chain system with fairness concerns, we resort to the cooperative game theory. To this end, we first derive the characteristic function form of the cooperative game based on the equilibrium profits under centralized, decentralized and different partial-coalition models. Subsequently, we propose three coordination mechanisms based on the Shapley value, nucleolus solution, and equal satisfaction to allocate surplus profit. The three mechanisms are then evaluated by using numerical experiments. We further examine how the retailer’s fairness concerns affect profit allocation under the three mechanisms. The key innovation is to incorporate the retailer’s fairness concerns into the coordination of a three-echelon CLSC. Our contributions are twofold: First, cooperative game-theoretic mechanisms are put forward to coordinate the three-echelon CLSC with a fairness-minded retailer. Second, we investigate how the retailer’s fairness concerns affect the CLSC members’ pricing decision and surplus profit allocation. Our studies confirm that the resulting profit allocation schemes satisfy both individual and collective rationality and fall in the core of the cooperative game, thereby making the grand coalition stable and suggesting viable options to coordinate the CLSC system. Further analyses reveal that different coordination mechanisms benefit the three CLSC members differently. These research findings help CLSC managers to understand what options are available and identify possible pathways for them to foster cooperation and achieve equitable allocation of surplus profit.
Xiao-Xue Zheng; Zhi Liu; Kevin W. Li; Jun Huang; Ji Chen. Cooperative game approaches to coordinating a three-echelon closed-loop supply chain with fairness concerns. International Journal of Production Economics 2019, 212, 92 -110.
AMA StyleXiao-Xue Zheng, Zhi Liu, Kevin W. Li, Jun Huang, Ji Chen. Cooperative game approaches to coordinating a three-echelon closed-loop supply chain with fairness concerns. International Journal of Production Economics. 2019; 212 ():92-110.
Chicago/Turabian StyleXiao-Xue Zheng; Zhi Liu; Kevin W. Li; Jun Huang; Ji Chen. 2019. "Cooperative game approaches to coordinating a three-echelon closed-loop supply chain with fairness concerns." International Journal of Production Economics 212, no. : 92-110.
This paper develops a lexicographic optimization model to allocate agricultural and non-agricultural water footprints by using the land area as the influencing factor. An index known as the water-footprint-land density (WFLD) index is then put forward to assess the impact and equity of the resulting allocation scheme. Subsequently, the proposed model is applied to a case study allocating water resources for the 11 provinces and municipalities in the Yangtze River Economic Belt (YREB). The objective is to achieve equitable spatial allocation of water resources from a water footprint perspective. Based on the statistical data in 2013, this approach starts with a proper accounting for water footprints in the 11 YREB provinces. We then determined an optimal allocation of water footprints by using the proposed lexicographic optimization approach from a land area angle. Lastly, we analyzed how different types of land uses contribute to allocation equity and we discuss policy changes to implement the optimal allocation schemes in the YREB. Analytical results show that: (1) the optimized agricultural and non-agricultural water footprints decrease from the current levels for each province across the YREB, but this decrease shows a heterogeneous pattern; (2) the WFLD of 11 YREB provinces all decline after optimization with the largest decline in Shanghai and the smallest decline in Sichuan; and (3) the impact of agricultural land on the allocation of agricultural water footprints is mainly reflected in the land use structure of three land types including arable land, forest land, and grassland. The different land use structures in the upstream, midstream, and downstream regions lead to the spatial heterogeneity of the optimized agricultural water footprints in the three YREB segments; (4) In addition to the non-agricultural land area, different regional industrial structures are the main reason for the spatial heterogeneity of the optimized non-agricultural water footprints. Our water-footprint-based optimal water resources allocation scheme helps alleviate the water resources shortage pressure and achieve coordinated and balanced development in the YREB.
Gang Liu; Lu Shi; Kevin Li. Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt. Sustainability 2018, 10, 3556 .
AMA StyleGang Liu, Lu Shi, Kevin Li. Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt. Sustainability. 2018; 10 (10):3556.
Chicago/Turabian StyleGang Liu; Lu Shi; Kevin Li. 2018. "Equitable Allocation of Blue and Green Water Footprints Based on Land-Use Types: A Case Study of the Yangtze River Economic Belt." Sustainability 10, no. 10: 3556.
Junsong Bian; Xiaolei Guo; Kevin W. Li. Decentralization or integration: Distribution channel selection under environmental taxation. Transportation Research Part E: Logistics and Transportation Review 2018, 113, 170 -193.
AMA StyleJunsong Bian, Xiaolei Guo, Kevin W. Li. Decentralization or integration: Distribution channel selection under environmental taxation. Transportation Research Part E: Logistics and Transportation Review. 2018; 113 ():170-193.
Chicago/Turabian StyleJunsong Bian; Xiaolei Guo; Kevin W. Li. 2018. "Decentralization or integration: Distribution channel selection under environmental taxation." Transportation Research Part E: Logistics and Transportation Review 113, no. : 170-193.
Zaiwu Gong; Ning Zhang; Kevin W. Li; Luis Martínez; Wei Zhao. Consensus decision models for preferential voting with abstentions. Computers & Industrial Engineering 2018, 115, 670 -682.
AMA StyleZaiwu Gong, Ning Zhang, Kevin W. Li, Luis Martínez, Wei Zhao. Consensus decision models for preferential voting with abstentions. Computers & Industrial Engineering. 2018; 115 ():670-682.
Chicago/Turabian StyleZaiwu Gong; Ning Zhang; Kevin W. Li; Luis Martínez; Wei Zhao. 2018. "Consensus decision models for preferential voting with abstentions." Computers & Industrial Engineering 115, no. : 670-682.
This paper examines a two-echelon supply chain with an upstream supplier (she) and a downstream manufacturer (he) transacting an intermediate product via direct bilateral contracting and futures market channels with differentiated productivities. A game model is established to examine the dual-channel supply chain operations. Analytical results reveal that downstream productivity improvement (DPI) through the bilateral interaction is necessary and sufficient for the supply chain members to trade in the bilateral channel in addition to the futures market. We show that when the price in the futures market increases, the manufacturer would purchase less from the futures market and more from the supplier, which not only increases the supplier's expected profit but also increases her risk (variance of the profit) in equilibrium. Furthermore, when the bilateral channel exhibits stronger DPI, the manufacturer obtains a higher expected profit and bears a higher risk, but the supplier enjoys a higher expected profit without incurring any additional risk.
Debing Ni; Kevin W. Li; Xiang Fang. Two‐echelon supply chain operations under dual channels with differentiated productivities. International Transactions in Operational Research 2017, 27, 1013 -1032.
AMA StyleDebing Ni, Kevin W. Li, Xiang Fang. Two‐echelon supply chain operations under dual channels with differentiated productivities. International Transactions in Operational Research. 2017; 27 (2):1013-1032.
Chicago/Turabian StyleDebing Ni; Kevin W. Li; Xiang Fang. 2017. "Two‐echelon supply chain operations under dual channels with differentiated productivities." International Transactions in Operational Research 27, no. 2: 1013-1032.
Peng Ma; Kevin W. Li; Zhou-Jing Wang. Pricing decisions in closed-loop supply chains with marketing effort and fairness concerns. International Journal of Production Research 2017, 55, 6710 -6731.
AMA StylePeng Ma, Kevin W. Li, Zhou-Jing Wang. Pricing decisions in closed-loop supply chains with marketing effort and fairness concerns. International Journal of Production Research. 2017; 55 (22):6710-6731.
Chicago/Turabian StylePeng Ma; Kevin W. Li; Zhou-Jing Wang. 2017. "Pricing decisions in closed-loop supply chains with marketing effort and fairness concerns." International Journal of Production Research 55, no. 22: 6710-6731.
Purpose The purpose of this paper is to propose a novel prospect-based two-sided matching decision model for matching supply and demand of technological knowledge assisted by a broker. This model enables the analyst to account for the stakeholders’ psychological behaviours and their impact on the matching decision in an open innovation setting. Design/methodology/approach The prospect theory and grey relational analysis are used to develop the proposed two-sided matching decision framework. Findings By properly calibrating model parameters, the case study demonstrates that the proposed approach can be applied to real-world technological knowledge trading in a market for technology (MFT) and yields matching results that are more consistent with the reality. Research limitations/implications The proposed model does not differentiate the types of knowledge exchanged (established vs novel, tacit vs codified, general vs specialized) (Ardito et al., 2016, Nielsen and Nielsen, 2009). Moreover, the model focuses on incorporating psychological behaviour of the MFT participants and does not consider their other characteristics. Practical implications The proposed model can be applied to achieve a better matching between technological knowledge suppliers and users in a broker-assisted MFT. Social implications A better matching between technological knowledge suppliers and users can enhance the success of open innovation, thereby contributing to the betterment of the society. Originality/value This paper furnishes a novel theoretical model for matching supply and demand in a broker-assisted MFT. Methodologically, the proposed model can effectively capture market participants’ psychological considerations.
Yong Liu; Kevin W. Li. A two-sided matching decision method for supply and demand of technological knowledge. Journal of Knowledge Management 2017, 21, 592 -606.
AMA StyleYong Liu, Kevin W. Li. A two-sided matching decision method for supply and demand of technological knowledge. Journal of Knowledge Management. 2017; 21 (3):592-606.
Chicago/Turabian StyleYong Liu; Kevin W. Li. 2017. "A two-sided matching decision method for supply and demand of technological knowledge." Journal of Knowledge Management 21, no. 3: 592-606.
Although medical waste usually accounts for a small fraction of urban municipal waste, its proper disposal has been a challenging issue as it often contains infectious, radioactive, or hazardous waste. This article proposes a two-level hierarchical multicriteria decision model to address medical waste disposal method selection (MWDMS), where disposal methods are assessed against different criteria as intuitionistic fuzzy preference relations and criteria weights are furnished as real values. This paper first introduces new operations for a special class of intuitionistic fuzzy values, whose membership and non-membership information is cross ratio based ]0, 1[-values. New score and accuracy functions are defined in order to develop a comparison approach for ]0, 1[-valued intuitionistic fuzzy numbers. A weighted geometric operator is then put forward to aggregate a collection of ]0, 1[-valued intuitionistic fuzzy values. Similar to Saaty’s 1–9 scale, this paper proposes a cross-ratio-based bipolar 0.1–0.9 scale to characterize pairwise comparison results. Subsequently, a two-level hierarchical structure is formulated to handle multicriteria decision problems with intuitionistic preference relations. Finally, the proposed decision framework is applied to MWDMS to illustrate its feasibility and effectiveness.
Wuyong Qian; Zhou-Jing Wang; Kevin W. Li. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations. International Journal of Environmental Research and Public Health 2016, 13, 896 .
AMA StyleWuyong Qian, Zhou-Jing Wang, Kevin W. Li. Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations. International Journal of Environmental Research and Public Health. 2016; 13 (9):896.
Chicago/Turabian StyleWuyong Qian; Zhou-Jing Wang; Kevin W. Li. 2016. "Medical Waste Disposal Method Selection Based on a Hierarchical Decision Model with Intuitionistic Fuzzy Relations." International Journal of Environmental Research and Public Health 13, no. 9: 896.
This article proposes a goal programming framework for deriving intuitionistic fuzzy weights from intuitionistic preference relations (IPRs). A new multiplicative transitivity is put forward to define consistent IPRs. By analyzing the relationship between intuitionistic fuzzy weights and multiplicative consistency, a transformation formula is introduced to convert normalized intuitionistic fuzzy weights into multiplicative consistent IPRs. By minimizing the absolute deviation between the original judgment and the converted multiplicative consistent IPR, two linear goal programming models are developed to obtain intuitionistic fuzzy weights from IPRs for both individual and group decisions. In the context of multicriteria decision making with a hierarchical structure, a linear program is established to obtain a unified criterion weight vector, which is then used to aggregate local intuitionistic fuzzy weights into global priority weights for final alternative ranking. Two numerical examples are furnished to show the validity and applicability of the proposed models.
Yibin Zhang; Kevin W. Li; Zhou-Jing Wang. Prioritization and Aggregation of Intuitionistic Preference Relations: A Multiplicative-Transitivity-Based Transformation from Intuitionistic Judgment Data to Priority Weights. Group Decision and Negotiation 2016, 26, 409 -436.
AMA StyleYibin Zhang, Kevin W. Li, Zhou-Jing Wang. Prioritization and Aggregation of Intuitionistic Preference Relations: A Multiplicative-Transitivity-Based Transformation from Intuitionistic Judgment Data to Priority Weights. Group Decision and Negotiation. 2016; 26 (2):409-436.
Chicago/Turabian StyleYibin Zhang; Kevin W. Li; Zhou-Jing Wang. 2016. "Prioritization and Aggregation of Intuitionistic Preference Relations: A Multiplicative-Transitivity-Based Transformation from Intuitionistic Judgment Data to Priority Weights." Group Decision and Negotiation 26, no. 2: 409-436.
Kevin W. Li; Zhou-Jing Wang; Xiayu Tong. Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices. European Journal of Operational Research 2016, 250, 628 -638.
AMA StyleKevin W. Li, Zhou-Jing Wang, Xiayu Tong. Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices. European Journal of Operational Research. 2016; 250 (2):628-638.
Chicago/Turabian StyleKevin W. Li; Zhou-Jing Wang; Xiayu Tong. 2016. "Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices." European Journal of Operational Research 250, no. 2: 628-638.
This paper presents a quadratic-program-based framework for group decision making with incomplete intuitionistic preference relations (IPRs). The framework starts with introducing a notion of additive consistency for incomplete IPRs, followed by a two-stage quadratic program model for estimating missing values in an incomplete IPR. The first stage aims to minimize inconsistency of the completed IPR and control hesitation margins of the estimated judgments within an acceptable threshold. The second stage is to find the most suitable estimates without changing the inconsistency level. Subsequently, a parameterized formula is proposed to transform normalized interval fuzzy weights into additively consistent IPRs. Two quadratic programs are developed to generate interval fuzzy weights from a complete IPR. The first model obtains interval fuzzy weight vectors by minimizing the squared deviation between the two sides of the transformation formula. By optimizing the parameter value, the second model finds the best weight vector based on the optimal solutions of the first model. A procedure is then developed to solve group decision problems with incomplete IPRs. A numerical example and a group selection problem for enterprise resource planning software products are provided to demonstrate the proposed models.
Zhoujing Wang; Kevin W. Li. Group decision making with incomplete intuitionistic preference relations based on quadratic programming models. Computers & Industrial Engineering 2016, 93, 162 -170.
AMA StyleZhoujing Wang, Kevin W. Li. Group decision making with incomplete intuitionistic preference relations based on quadratic programming models. Computers & Industrial Engineering. 2016; 93 ():162-170.
Chicago/Turabian StyleZhoujing Wang; Kevin W. Li. 2016. "Group decision making with incomplete intuitionistic preference relations based on quadratic programming models." Computers & Industrial Engineering 93, no. : 162-170.
A strategic analysis is conducted to incorporate corporate social responsibility (CSR) considerations into managerial incentive design in a duopoly where each firm comprises an owner and a manager. Consumer surplus is adopted to represent the firms’ CSR concerns and a CSR-related incentive is introduced to accommodate both profit and consumer surplus. Bertrand and Cournot competition modes are discussed with the firms’ products being complementary, independent, or substitutable. We first examine the equilibrium of CSR-related incentive design and, then, analyze how CSR-related incentives affect the firms’ profitability and CSR performance, measured by consumer surplus and social welfare.
Junsong Bian; Kevin W. Li; Xiaolei Guo. A strategic analysis of incorporating CSR into managerial incentive design. Transportation Research Part E: Logistics and Transportation Review 2016, 86, 83 -93.
AMA StyleJunsong Bian, Kevin W. Li, Xiaolei Guo. A strategic analysis of incorporating CSR into managerial incentive design. Transportation Research Part E: Logistics and Transportation Review. 2016; 86 ():83-93.
Chicago/Turabian StyleJunsong Bian; Kevin W. Li; Xiaolei Guo. 2016. "A strategic analysis of incorporating CSR into managerial incentive design." Transportation Research Part E: Logistics and Transportation Review 86, no. : 83-93.