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This paper investigates the effects of intelligent logistics policies briefings (ILPBs), which are a kind of special press conference, on the shareholder value of the 149 listed logistics companies in China. For macro factors, we find that ILPBs will result in a positive stock market reaction, and the mean abnormal return on the event day is 0.728%. For micro factors, an ILPB has a more positive impact on the market value of larger enterprises. The business types do not affect the degree of market reaction. For the characteristics of policy briefings, the market reaction will be more positive as the proportion of the intelligent logistics content in the conference increases. Policy briefings with two different topics will result in more positive stock market reactions than those with one. Finally, we compare the market reactions of ILPBs with those of official policies.
Weihua Liu; Siyu Wang; Yanjie Liang; Rui Jin. Effect of intelligent logistics policy briefings on shareholder value: evidence from Chinese logistics companies. International Journal of Logistics Research and Applications 2021, 1 -24.
AMA StyleWeihua Liu, Siyu Wang, Yanjie Liang, Rui Jin. Effect of intelligent logistics policy briefings on shareholder value: evidence from Chinese logistics companies. International Journal of Logistics Research and Applications. 2021; ():1-24.
Chicago/Turabian StyleWeihua Liu; Siyu Wang; Yanjie Liang; Rui Jin. 2021. "Effect of intelligent logistics policy briefings on shareholder value: evidence from Chinese logistics companies." International Journal of Logistics Research and Applications , no. : 1-24.
As supply chains become more complex and multi-tiered, managing corporate social responsibility (CSR) of lower-tier suppliers is more challenging and draws increasing attention. In this paper, we develop a game theory model with a multi-tier supply chain, which consists of a Tier 0 buyer, a direct Tier 1 supplier and an indirect Tier 2 supplier. To reduce the CSR violations of Tier 2 supplier, the Tier 0 buyer can either provide funding to the Tier 1 supplier (delegation strategy) or fund the Tier 2 supplier directly (control strategy). We theoretically analyze the optimal strategy under two different supply chain leaderships: Tier 1 leads Tier 2, and Tier 2 leads Tier 1, and further discuss the impact of supply chain leadership. Unlike empirical studies arguing that delegation is more effective when the Tier 1 leads Tier 2, we find that when the funding factor is uniform among suppliers (exogenous), the control strategy is more likely to ensure a lower violation probability than the delegation strategy. Besides, when the loss of Tier 0 buyer due to violations in Tier 2 is relatively small, the buyer may adopt the strategy with a higher violation probability to maximize his profit. In addition, we also consider information asymmetry between the Tier 0 buyer and Tier 2 supplier, and find that the buyer is more inclined to choose the delegation strategy if he is more uncertain about the Tier 2 supplier. Finally, we explore four model extensions and show that the main results are robust.
Weihua Liu; Wanying Wei; Tsan-Ming Choi; Xiaoyu Yan. Impacts of Leadership on Corporate Social Responsibility Management in Multi-Tier Supply Chains. European Journal of Operational Research 2021, 1 .
AMA StyleWeihua Liu, Wanying Wei, Tsan-Ming Choi, Xiaoyu Yan. Impacts of Leadership on Corporate Social Responsibility Management in Multi-Tier Supply Chains. European Journal of Operational Research. 2021; ():1.
Chicago/Turabian StyleWeihua Liu; Wanying Wei; Tsan-Ming Choi; Xiaoyu Yan. 2021. "Impacts of Leadership on Corporate Social Responsibility Management in Multi-Tier Supply Chains." European Journal of Operational Research , no. : 1.
Purpose This study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field. Design/methodology/approach A multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized. Findings First, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects. Originality/value Compared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.
Weihua Liu; Jiahui Zhang; Siyu Wang. Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China. Industrial Management & Data Systems 2021, ahead-of-p, 1 .
AMA StyleWeihua Liu, Jiahui Zhang, Siyu Wang. Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China. Industrial Management & Data Systems. 2021; ahead-of-p (ahead-of-p):1.
Chicago/Turabian StyleWeihua Liu; Jiahui Zhang; Siyu Wang. 2021. "Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China." Industrial Management & Data Systems ahead-of-p, no. ahead-of-p: 1.
The smart supply chain innovation (SSCI) has become the key way for enterprises to enhance their competitiveness. Therefore, it is very important for the current supply chain enterprises to choose a reasonable innovation path. Through the literature review method, this paper summarizes the four main evaluation indicators of path selection for smart supply chain innovation, which are technical indicators, organizational environment indicators, operational efficiency indicators, risk prevention and control indicators. According to the characteristics of evaluation index, the improved Fuzzy Entropy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is proposed. This method considers the situation that the original data contains both interval value and fixed value data. Firstly, the standardized decision matrix is constructed, and then the optimal index weight is established by Fuzzy Entropy method. Secondly, this paper calculates the weighted decision matrix by using the method of sub item weighting of hierarchical indicators. Finally, the improved TOPSIS method is used to determine the relative closeness of each scheme. According to the weighted decision matrix, the innovation path index of the smart supply chain (SSC) is further calculated. We use the actual case of a company to analyze the evaluation method for three different SSCI paths. This paper provides a reference for the path selection of SSCI from the aspects of theory and practice.
Weihua Liu; Siyu Wang; Jingkun Wang. Evaluation method of path selection for smart supply chain innovation. Annals of Operations Research 2021, 1 -27.
AMA StyleWeihua Liu, Siyu Wang, Jingkun Wang. Evaluation method of path selection for smart supply chain innovation. Annals of Operations Research. 2021; ():1-27.
Chicago/Turabian StyleWeihua Liu; Siyu Wang; Jingkun Wang. 2021. "Evaluation method of path selection for smart supply chain innovation." Annals of Operations Research , no. : 1-27.
In a two-tier supply chain consisting of a smart logistics platform and a smart logistics provider, for value-added service innovation in logistics, there are usually two innovation modes: collaborative innovation (CI) in the supply chain and independent innovation by the provider. In this study, we research the strategic choice of the platform about whether to co-innovate with the provider when the platform requires the provider to innovate new value-added services. By building a two-tier supply chain game model, this study focuses on the influence of leadership and smart level on the platform's CI strategy. This study obtains many interesting findings. Firstly, we give the cost thresholds for the platform to choose CI under different relationships, with higher thresholds under the provider-led relationship compared to Nash and platform-led relationships, the platform is most likely to choose CI under the provider-led relationship, while most difficult to choose under Nash relationship. Secondly, we find that under Nash and platform-led relationships, the platform's participation in the CI will lead to an increase in both parties' profits, so that the CI can be achieved, but under the provider-led relationship, there may be a situation where the platform's profits increase and the provider’s profits decrease when the two parties co-innovate, and since under this relationship it is easiest for the platform to choose to participate in the CI, the platform can choose a cost-sharing contract to solve this problem and achieve CI. Thirdly, with the same leadership, the higher the smart level of the provider is, the more incentive the platform is to participate in CI. If the smart level of the provider is very low or the smart level of the platform is very high, the platform will never participate in CI, regardless of the leadership.
Weihua Liu; Shangsong Long; Yanjie Liang; Jinkun Wang; Shuang Wei. The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation. Annals of Operations Research 2021, 1 -43.
AMA StyleWeihua Liu, Shangsong Long, Yanjie Liang, Jinkun Wang, Shuang Wei. The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation. Annals of Operations Research. 2021; ():1-43.
Chicago/Turabian StyleWeihua Liu; Shangsong Long; Yanjie Liang; Jinkun Wang; Shuang Wei. 2021. "The influence of leadership and smart level on the strategy choice of the smart logistics platform: a perspective of collaborative innovation participation." Annals of Operations Research , no. : 1-43.
The rapid development of information technology has promoted the digital transformation of the service supply chain. Members can collect, store, and transform the value of data to gain profits. Due to the different roles during the service delivery, service integrators (SIs) and service providers (SPs) transform the data value from different sources, which leads to the demand and supply-driven data, respectively. As the leader of service supply chain, the SI may show altruistic behavior and share the data value with SPs. This study constructs a service supply chain consisting of two SPs and one SI and establishes five analytical models. Several important conclusions are obtained. First, the demand-driven data value leads to a decrease in the SI's optimal pricing and the SP's optimal value-added service level, leading to the “paradox of demand-driven data value”. Second, supply-driven data value leads to the increase in SI and SPs’ optimal decisions, and SI can get higher expected utility at no cost, achieving the "free-riding effect". Finally, there is a "transmission effect" among the altruistic behavior, demand-driven and supply-driven data value. When the parameters meet certain condition, customers can obtain an "optimal purchasing area" and obtain higher-level value-added service at a lower price.
Di Wang; Weihua Liu; Yanjie Liang; Shuang Wei. Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior. Annals of Operations Research 2021, 1 -22.
AMA StyleDi Wang, Weihua Liu, Yanjie Liang, Shuang Wei. Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior. Annals of Operations Research. 2021; ():1-22.
Chicago/Turabian StyleDi Wang; Weihua Liu; Yanjie Liang; Shuang Wei. 2021. "Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior." Annals of Operations Research , no. : 1-22.
This special issue explores original practices and applications in Smart Supply Chains (SSCs) and Intelligent Logistics Services (ILSs), inviting academics to contribute a better understanding of SSCs and ILSs in tandem with advanced OR methods. This editorial summarizes discussions and major findings from the featured papers in SSCs and ILSs, including the studies exploring the impacts of government policy, process optimization, system design, and the choice of strategies and so on.
Weihua Liu; J. George Shanthikumar; Paul Tae-Woo Lee; Xiang Li; Li Zhou. Special issue editorial: Smart supply chains and intelligent logistics services. Transportation Research Part E: Logistics and Transportation Review 2021, 147, 102256 .
AMA StyleWeihua Liu, J. George Shanthikumar, Paul Tae-Woo Lee, Xiang Li, Li Zhou. Special issue editorial: Smart supply chains and intelligent logistics services. Transportation Research Part E: Logistics and Transportation Review. 2021; 147 ():102256.
Chicago/Turabian StyleWeihua Liu; J. George Shanthikumar; Paul Tae-Woo Lee; Xiang Li; Li Zhou. 2021. "Special issue editorial: Smart supply chains and intelligent logistics services." Transportation Research Part E: Logistics and Transportation Review 147, no. : 102256.
This study empirically examines the impact of the intelligent logistics transformation (ILT) announcement on companies' shareholder value. The market model is used to estimate abnormal return. ILT inspires a significantly positive average (median) market response on the announcement day. There is a strong relationship between the announcing firm features like industry features and abnormal returns. The announcement features like investment direction of ILT also affect the market response. In addition, an interesting finding is that firms with worse prior financial performance than the industry level will receive a more positive market response when they conduct ILT by establishing an information platform.
Weihua Liu; Jiahui Zhang; Jiahe Hou; Siyu Wang. Effect of intelligent logistics transformation announcements on shareholder value: Evidence from Chinese listed firms. Managerial and Decision Economics 2021, 42, 1194 -1219.
AMA StyleWeihua Liu, Jiahui Zhang, Jiahe Hou, Siyu Wang. Effect of intelligent logistics transformation announcements on shareholder value: Evidence from Chinese listed firms. Managerial and Decision Economics. 2021; 42 (5):1194-1219.
Chicago/Turabian StyleWeihua Liu; Jiahui Zhang; Jiahe Hou; Siyu Wang. 2021. "Effect of intelligent logistics transformation announcements on shareholder value: Evidence from Chinese listed firms." Managerial and Decision Economics 42, no. 5: 1194-1219.
Smart logistics ecological chain (SLEC) consists of a supply ecological group, a core ecological logistics platform, and a demand ecological group. As a diversified industrial cluster, SLEC faces a complex internal and external environment, which makes high sustainable risks threatens the survival of SLEC members. To reduce the risks of SLEC, we first identify three kinds of risk factors, namely, the risks of SLEC members, technology risks, and external environmental risks. Then we adopt social network analysis (SNA) to construct a research framework for analyzing the relationships among risk factors of SLEC. Based on the results of the SNA, we further build a risk evaluation system based on the improved technique for order performance by similarity to ideal solution (TOPSIS) method to evaluate the risks of different SLECs and achieve better global optimal risk control. Moreover, we use a case study of RRS logistics company to verify our research framework and evaluation system. The results show that, in the RRS home appliance SLEC, the risks of technological route change, government management risks, and industry management risks can easily lead to the generation of other risks, while external stakeholder risk, government management risk and internal stakeholder risk are easily induced by other risks. Besides, among the home appliance, fitness, and fast-moving consumer goods (FMCG) SLECs of RRS logistics company, when in-node degree and out-node degree risks have the same weight, the risks of the home appliance SLEC are the lowest, while that of the FMCG SLEC are the highest.
Weihua Liu; Wanying Wei; Xiaoyu Yan; Dong Dong; Zhixuan Chen. Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis. Journal of Cleaner Production 2020, 276, 124189 .
AMA StyleWeihua Liu, Wanying Wei, Xiaoyu Yan, Dong Dong, Zhixuan Chen. Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis. Journal of Cleaner Production. 2020; 276 ():124189.
Chicago/Turabian StyleWeihua Liu; Wanying Wei; Xiaoyu Yan; Dong Dong; Zhixuan Chen. 2020. "Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis." Journal of Cleaner Production 276, no. : 124189.
In recent years, the big data discriminatory pricing (BDDP) behavior of the service platform has recurrently appeared in the platform service supply chain, which is considered as a scandal that is irresponsible to the consumers. Therefore, how to effectively govern the service platform has become an important research topic. Based on this background, this study considers the strategies of the service platform, the government and the consumers, builds a three-party evolutionary game model, and puts forward a governance mechanism for preventing the service platform from using BDDP. this study has drawn many interesting conclusions. First, when the service platform is risk-neutral, if the government does not supervise the platform, the government should set a high tax rate; conversely, if the government chooses to supervise the platform, the tax rate can remain unchanged, and the government can set a high penalty. Second, considering the risk aversion of the platform, if the government does not supervise, not only high tax rate but also low tax rate will be effective; the specific value of the tax rate at this time is determined by the risk aversion factor. When platforms are supervised by the government, a high penalty can be imposed, but the penalty may decrease as the platform risk aversion factor increases. Third, in situations in which the government has no incentive for long-term supervision since the supervision cost is greater than the supervision revenue, the service platform has the incentive to carry out BDDP and consumers do not give the service platform bad evaluations, if the government sets a high penalty, the service platform will recurrently, but not always, carry out BDDP.
Weihua Liu; Shangsong Long; Dong Xie; Yanjie Liang; Jinkun Wang. How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model. International Journal of Production Economics 2020, 231, 107910 .
AMA StyleWeihua Liu, Shangsong Long, Dong Xie, Yanjie Liang, Jinkun Wang. How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model. International Journal of Production Economics. 2020; 231 ():107910.
Chicago/Turabian StyleWeihua Liu; Shangsong Long; Dong Xie; Yanjie Liang; Jinkun Wang. 2020. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model." International Journal of Production Economics 231, no. : 107910.
Supply chain services bear a fundamental and strategic significance in supporting the development of the national economy. Promoting the innovation of the supply chain service contributes primarily to improving industrial competitiveness and maintaining national supply chain security strategies. Under the background of economic globalization and the “intelligence +” movement, the innovative development of supply chain services has become an important task for Chinese governmental organizations and many enterprises.
Weihua Liu. Innovation of China’s Supply Chain Service. Current Chinese Economic Report Series 2020, 175 -203.
AMA StyleWeihua Liu. Innovation of China’s Supply Chain Service. Current Chinese Economic Report Series. 2020; ():175-203.
Chicago/Turabian StyleWeihua Liu. 2020. "Innovation of China’s Supply Chain Service." Current Chinese Economic Report Series , no. : 175-203.
The evaluation of the intelligent logistics eco-index (ILEI) can comprehensively and objectively reflect the development status and the potential problems of the intelligent logistics ecological chain (ILEC). It can provide a reference for the optimization and improvement of the ecological chain. By analyzing and summarizing the relevant literature of the ILEC from 2010 to 2019, this paper constructs an evaluation system that consists of 3 level-1 indicators, 10 level-2 indicators and 24 level-3 indicators. Using the method based on hybrid numerical decision-making to evaluate the ILEI, it takes into account the situation in which the original data contain both interval and fixed-value data, objectively obtains the weight vector by using the improved interval deviation degree and scheme attribute deviation maximization thought, and finally establishes the possibility decision matrix and calculates the ILEI based on the sorting theory of fuzzy complementary judgment matrix. This method has significant advantages over the traditional TOPSIS method. Based on the real case from Qingdao Goodaymart Logistics Company (Goodaymart Logistics), this paper compares the ILEI values among three months in 2019, summarizes the development status, and offers suggestions to Goodaymart Logistics. This study provides an approach for constructing the ILEI to realize an objective evaluation of the development of the ILEC, so as to facilitate the intelligent logistics enterprises in improving the level of ecological development and promoting the healthy development of the ecological chain.
Weihua Liu; Siyu Wang; Dong Dong; Jingkun Wang. Evaluation of the intelligent logistics eco-index: Evidence from China. Journal of Cleaner Production 2020, 274, 123127 .
AMA StyleWeihua Liu, Siyu Wang, Dong Dong, Jingkun Wang. Evaluation of the intelligent logistics eco-index: Evidence from China. Journal of Cleaner Production. 2020; 274 ():123127.
Chicago/Turabian StyleWeihua Liu; Siyu Wang; Dong Dong; Jingkun Wang. 2020. "Evaluation of the intelligent logistics eco-index: Evidence from China." Journal of Cleaner Production 274, no. : 123127.
With the increasingly fierce market competition and the rapid development of advanced logistics technology, service quality guarantee and demand updating become effective ways to promote procurement decisions in logistics supply chain. However, information asymmetry and obedience behavior have made it more complicated. In this paper, we considered the above factors, and studied the capacity procurement issue in a logistics service supply chain consisting of a logistics service integrator (LSI) and a functional logistics service provider (FLSP) in two periods. First, we find the optimal purchase quantities increase with the FLSP’s obedience factor, in specific conditions, the LSI’s guaranteed service quality and FLSP’s obedience behavior can reach the upper limit (or lower limit). Second, the information symmetry creates a win–win situation iff the penalty cost to the FLSP is moderate and the demand is incompletely revealed. Third, demand updating relaxes the condition for the LSI’s service quality guarantee reaching to the upper limit. For FLSP, when the penalty cost is moderate, the demand updating makes FLSP less obedient in case that the demand is completely revealed and more obedient when the demand is incompletely revealed.
Weihua Liu; Xinran Shen; Di Wang; Donglei Zhu. Service quality guarantee design: obedience behavior, demand updating and information asymmetry. Annals of Operations Research 2020, 1 -33.
AMA StyleWeihua Liu, Xinran Shen, Di Wang, Donglei Zhu. Service quality guarantee design: obedience behavior, demand updating and information asymmetry. Annals of Operations Research. 2020; ():1-33.
Chicago/Turabian StyleWeihua Liu; Xinran Shen; Di Wang; Donglei Zhu. 2020. "Service quality guarantee design: obedience behavior, demand updating and information asymmetry." Annals of Operations Research , no. : 1-33.
This paper empirically investigates the effects of intelligent logistics policies (ILPs) on shareholder value of the 149 listed logistics companies from 2013 to 2018 in China. The research shows that ILPs will result in a positive stock market reaction, and this effect is increasing along with the increase of policy contents related to intelligent logistics or the decrease of company service breadth. The market reaction will be affected by the way that policies are issued and type of company. The logistics service providers are more positive when their financial performances are better, while the opposite result is observed for logistics equipment manufacturers.
Weihua Liu; Siyu Wang; Yong Lin; Dong Xie; Jiahui Zhang. Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies. Transportation Research Part E: Logistics and Transportation Review 2020, 137, 101928 .
AMA StyleWeihua Liu, Siyu Wang, Yong Lin, Dong Xie, Jiahui Zhang. Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies. Transportation Research Part E: Logistics and Transportation Review. 2020; 137 ():101928.
Chicago/Turabian StyleWeihua Liu; Siyu Wang; Yong Lin; Dong Xie; Jiahui Zhang. 2020. "Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies." Transportation Research Part E: Logistics and Transportation Review 137, no. : 101928.
This study investigates a platform’s preferences between agency selling and reselling considering the impact of data-driven marketing (DDM). Four models are built: No-DDM+agency selling, No-DDM+reselling, DDM+agency selling, DDM+reselling. Sales volumes, profits and profit growth rates in different sales modes are compared. Results show that with an increase in DDM efficiency, the platform is more willing to adopt the reselling mode. In addition, without DDM, the sales mode with higher sales volume is not more profitable within a certain market size. DDM can help avoid this phenomenon to a certain extent.
Weihua Liu; Xiaoyu Yan; Xiang Li; Wanying Wei. The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain. Transportation Research Part E: Logistics and Transportation Review 2020, 136, 101914 .
AMA StyleWeihua Liu, Xiaoyu Yan, Xiang Li, Wanying Wei. The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain. Transportation Research Part E: Logistics and Transportation Review. 2020; 136 ():101914.
Chicago/Turabian StyleWeihua Liu; Xiaoyu Yan; Xiang Li; Wanying Wei. 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain." Transportation Research Part E: Logistics and Transportation Review 136, no. : 101914.
This paper discusses the order allocation in service supply chains under uncertain demand, and builds a Stackelberg game model composed of a service integrator (SI), a key service supplier (SP), and an ordinary SP. The individual impacts of risk aversion, peer competition, and relationship strength, and their interaction impacts are studied. There is an offset effect between risk aversion and relationship strength and an amplification effect between peer competition and relationship strength. Only if three factors meet the equilibrium effect, can SI achieve higher expected utility. The “incentive upgrade and cost sharing” contract is proposed to improve SI’s optimal expected utility.
Di Wang; Weihua Liu; Xinran Shen; Wanying Wei. Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength. Transportation Research Part E: Logistics and Transportation Review 2019, 130, 293 -311.
AMA StyleDi Wang, Weihua Liu, Xinran Shen, Wanying Wei. Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength. Transportation Research Part E: Logistics and Transportation Review. 2019; 130 ():293-311.
Chicago/Turabian StyleDi Wang; Weihua Liu; Xinran Shen; Wanying Wei. 2019. "Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength." Transportation Research Part E: Logistics and Transportation Review 130, no. : 293-311.
Corporate social responsibility (CSR) has become the focus of the company’s daily operations and strategic choices. At present, the supply risk events caused by the CSR violations of service providers in the service supply chain are frequent, which highlight the importance of formulating appropriate contracts to constrain the CSR level of providers. In the context of asymmetric CSR cost information, this paper analyzes the optimal contract parameters of integrators when providing screening contracts or pooling contracts and compares their impact on profits and the CSR level. The information asymmetry belongs to classic principal-agent problem, and we will use the revelation principle to design the contracts and solve this problem. The results that different contracts have different effects on the CSR level of different types of providers. A low-cost provider’s CSR level is the highest when a screening contract is provided, while a high-cost provider’s CSR level reaches the peak under a pooling contract. If pursuing profit maximization, the integrator should choose to provide a screening contract. When the integrator needs to ensure a higher average level of social responsibility, a pooling contract should be chosen. The findings also show that service cost is an important factor affecting the CSR level of the provider, and only when the providers’ service cost is low, will providers actively fulfill their social responsibility.
Weihua Liu; Wanying Wei; Xiaoyu Yan; Di Wang. Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain. Sustainability 2019, 11, 1408 .
AMA StyleWeihua Liu, Wanying Wei, Xiaoyu Yan, Di Wang. Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain. Sustainability. 2019; 11 (5):1408.
Chicago/Turabian StyleWeihua Liu; Wanying Wei; Xiaoyu Yan; Di Wang. 2019. "Supply Contract Design with Asymmetric Corporate Social Responsibility Cost Information in Service Supply Chain." Sustainability 11, no. 5: 1408.
Purpose The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars. Design/methodology/approach This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed. Findings In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems. Originality/value This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.
Weihua Liu; Di Wang; Shangsong Long; Xinran Shen; Victor Shi. Service supply chain management: a behavioural operations perspective. Modern Supply Chain Research and Applications 2019, 1, 28 -53.
AMA StyleWeihua Liu, Di Wang, Shangsong Long, Xinran Shen, Victor Shi. Service supply chain management: a behavioural operations perspective. Modern Supply Chain Research and Applications. 2019; 1 (1):28-53.
Chicago/Turabian StyleWeihua Liu; Di Wang; Shangsong Long; Xinran Shen; Victor Shi. 2019. "Service supply chain management: a behavioural operations perspective." Modern Supply Chain Research and Applications 1, no. 1: 28-53.
Affected by the online supply-demand matching, traditional pricing decisions cannot be applied to recent ‘online-to-offline’ (O2O) platforms, which should consider more about the features of the demander side, provider side and platform matching. Models with a profit-maximizing platform that considers the pricing decision effects of the provider’s threshold participating quantity, value-added service (VAS) and matching ability are developed in this study. Specifically, the main conclusions are divided into two parts: low-demand state and high-demand state. In the low-demand state, we show that the threshold participating quantity significantly affects pricing decisions when the basic demand is relatively low. There are two different critical values that make the pricing decisions into three cases. Second, regardless of the platform’s capital and the basic demand, the VAS always benefits the platform. Third, when the basic demand is relatively low and the threshold participating quantity is relatively high, the platform will not benefit from a higher matching ability, which is counter-intuitive. In the high-demand state, we show that the threshold participating quantity will not affect the pricing decisions. Second, developing the VAS still contributes to the improvement of platform’s profit. Third, different from the low-demand state, the platform’s profit always increases with the matching ability.
Weihua Liu; Xiaoyu Yan; Wanying Wei; Dong Xie. Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability. Transportation Research Part E: Logistics and Transportation Review 2019, 122, 410 -432.
AMA StyleWeihua Liu, Xiaoyu Yan, Wanying Wei, Dong Xie. Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability. Transportation Research Part E: Logistics and Transportation Review. 2019; 122 ():410-432.
Chicago/Turabian StyleWeihua Liu; Xiaoyu Yan; Wanying Wei; Dong Xie. 2019. "Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability." Transportation Research Part E: Logistics and Transportation Review 122, no. : 410-432.
This paper studies the impacts of loss-averse preference on the service capacity procurement decisions with demand updating in a logistics service supply chain, which consists of one logistics service integrator and one functional logistics service provider. It starts from a basic two-stage Stackelberg game model, then, extends to three scenarios where either the integrator or the provider or neither of them has loss-averse preference. The impact of loss-averse preference on the decisions of supply chain members is discussed by comparing the four models. Our results reveal, first, the loss-averse preferences do not always affect the decisions of supply chain members. If certain conditions are satisfied, the logistics service integrator can benefit from its loss-averse preference. Second, the increased service level can affect the logistics service integrator's procurement strategy and the functional logistics service provider's pricing strategy. This effect is only related to the loss-averse preference of the functional logistics service provider. Last, under certain conditions, the total service capacity decreases with the increased service level, regardless of whether or not the supply chain members have loss-averse preferences.
Weihua Liu; Meili Wang; Donglei Zhu; Li Zhou. Service capacity procurement of logistics service supply chain with demand updating and loss-averse preference. Applied Mathematical Modelling 2018, 66, 486 -507.
AMA StyleWeihua Liu, Meili Wang, Donglei Zhu, Li Zhou. Service capacity procurement of logistics service supply chain with demand updating and loss-averse preference. Applied Mathematical Modelling. 2018; 66 ():486-507.
Chicago/Turabian StyleWeihua Liu; Meili Wang; Donglei Zhu; Li Zhou. 2018. "Service capacity procurement of logistics service supply chain with demand updating and loss-averse preference." Applied Mathematical Modelling 66, no. : 486-507.