关键词：
Food loss and waste;Food supply chain;Effort to reduce food loss and waste;Quantum game
摘要：
This paper proposes a quantum game to study the food loss and waste (FLW) reduction in a two-echelon food supply chain (FSC) consisting of single supplier and single retailer. First, a Non-zero-sum game model based on the efforts of supplier and retailer in the process of FLW reduction is developed. Then, the classic strategy space is extended to quantum strategy space. The results show that in both classical environment and the separable quantum game scenario, it is difficult to achieve the Pareto optimal strategy of the two parties adopting the full effort strategy, because the full-effort party will bear the risk of betrayal by the non-effort party. However, in the context of maximally entangled quantum game, the risk causing by the non-effort party are borne by himself rather than the full-effort party. Correspondingly, both parties will adopt the full effort strategy to achieve a win-win situation and improve FLW in FSC significantly. Furthermore, an entanglement contract is proposed to ensure that neither of them has the motivation to deviate from the quantum strategy. Based on these findings, some managerial implications are presented to improve the level of cooperation and effort of the supplier and the retailer on FLW reduction. (C) 2020 Elsevier Ltd. All rights reserved.
摘要：
Cybersecurity presents a monumental challenge for interconnected supply chains, as an attack on one node can compromise an entire business. In this paper, we propose a game theory model to investigate cybersecurity investments with third-party risk propagation in a two-echelon supply chain consisting of one retailer and n suppliers. The optimal investments and their responses to relevant security characteristics, such as intrinsic vulnerability, propagation probability, number of suppliers, and attack probability, are analysed and discussed both theoretically and numerically considering one-stage risk propagation. It is found that there are serious prisoners' dilemma and free-riding phenomena in such a scenario. To mitigate third-party risks and improve the investment efficiency, three coordination mechanisms, joint decision, security risk compensation, and security information sharing, are presented and compared numerically. The results indicate that joint decision-making and security risk compensation perform better on stimulating firms' investments and reducing expected costs both individually and collectively relative to security information sharing. Furthermore, the case of two-stage risk propagation is also supplemented and compared with one-stage case. Based on these findings, some management insights are recommended to cybersecurity managers in supply chains for designing more efficient cybersecurity mechanisms and investment strategies.
摘要：
This paper considers a supply chain consisting of one supplier and one retailer who jointly invest in item-level radio frequency identification (RFID) by considering their demands and inventories. Since the supplier can be negative to adopt RFID, the main objective of this study is to design an effective mechanism that maximizes the profits of both players and the whole supply chain by implementing item-level RFID. For this objective, we propose a novel revenue-cost-sharing (RCS) contract based on the bargaining game as the incentive to encourage the implementation, and numerical results show that the RCS contract is considerably more effective than the wholesale-price contract for supply chain coordination. Moreover, we show that the retail supply chain can be coordinated perfectly under the RCS contract when the thresholds of the revenue/cost sharing rates are set appropriately. This study provides significant managerial insight into the incentive and coordination strategy to implement item-level RFID in the retail supply chain.
摘要：
Recent research has shifted to investigating knowledge integration in an interdisciplinary field and measuring the interdisciplinarity. Conventional citation analysis does not consider the context of citations, which limits the understanding of interdisciplinary knowledge integration. This study introduces a novel analytical framework to characterize interdisciplinary knowledge integration by both the content, i.e., integrated knowledge phrases (IKPs), and location of citances (i.e., citing sentences) in addition to citations. Seven knowledge categories are used to classify IKPs, including Research Subject, Theory, Research Methodology, Technology, Human Entity, Data, and Others. The eHealth field is explored as an exemplar interdisciplinary field in the case study. The result reveals that the ranks of source disciplines quantified by the integrated knowledge phrases are different from those by citations, especially in terms of average knowledge integration density. The distributions of the IKPs over the knowledge categories differ among source disciplines, indicating their different contributions to knowledge integration of eHealth field. The knowledge from adjacent disciplines is integrated into the field faster than that from other disciplines. Knowledge distributions over sections of articles are also different among source disciplines, and a correlation between knowledge categories and the sections they were used is observed. The analytical framework offers a way to better understand an interdisciplinary field by disclosing the characteristics of interdisciplinary knowledge integration from the perspective of knowledge content and usage.
作者机构：
[Chi, Maomao; Li, Weiqing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Dan, Qianyi] Cent China Normal Univ, Sch Comp, Wuhan 430079, Peoples R China.;[Wang, Weijun] Cent China Normal Univ, Key Lab Adolescent Cyberpsychol & Behav, Minist Educ, Wuhan 430079, Peoples R China.
通讯机构：
[Chi, Maomao; Wang, Weijun] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Key Lab Adolescent Cyberpsychol & Behav, Minist Educ, Wuhan 430079, Peoples R China.
关键词：
consumer information search behavior;price level;perceived price dispersion;durables and consumables;moderating effect
摘要：
The methods consumers use to reduce their perceived risk and make reasonable purchase decisions can be synthesized under the umbrella term “consumer information search behavior” (CISB). As one key factor that conveys a product’s value and quality, price has a significant impact on CISB. There are few studies that comprehensively consider the impact of price level (PL) and perceived price dispersion (PPD) on CISB, and there is a certain disagreement about the impact of PPD specific to the online shopping environment. To address this research gap, we construct a model using the data from 5515 consumers’ purchasing and browsing behavior on a B2C e-commerce website, selecting six products as our research objects. We use a hierarchical regression analysis method to study the influence of product PL and PPD on CISB, and to explore the moderating effect of product categories (durables and consumables) on the relationship between PL, PPD and CISB. The results show that PL significantly affects CISB, and that product categories have a significant moderating effect on the relationship between PL and CISB. For durable goods, when the PL is high, consumers tend to increase their search behavior, both in depth and in breadth, and for consumables with low PL but higher purchase frequency, consumers likewise tend to increase their search behavior. In the B2C online shopping environment, PPD has a significant positive effect on CISB, and product category has a moderating effect on the relationship between PPD and CISB. When consumers purchase consumables, the higher the PPD, the higher the depth of CISB. The findings have several implications for marketing practitioners and enterprises advertising, also can help customers save time and energy in their search behaviors.
摘要：
Order picking is the process of retrieving products from the storage locations to meet customer orders, which accounts for more than 55% of the total warehouse cost. The joint order batching and picker routing problem (JOBPRP) is an effective way to improve picking efficiency. Although many warehouses face the physical constraints of products that have impact on the picking sequence, such as weight, size, shape, and fragility, JOBPRP with such physical constraints has not been widely studied in the literature. This paper is inspired by a practical case observed in an online-to-offline grocery store in China, where food products should not be carried under nonfood products in the picking container to maintain food safety, called category constraint. Therefore, JOBPRP with category constraint is studied. The JOBPRP optimization models with and without category constraint are formulated to minimize the total processing time, and the modified seed algorithms, with new seed addition rules and modified near-optimal routing methods are proposed to solve the models. The performance of the proposed algorithms is evaluated in different seed addition rules, routing methods, sort time scenarios, and storage assignment strategies (SASs) in a case study. We found that considering category constraint in JOBPRP can reduce the total processing time, and the modified seed algorithms perform better than the traditional first-come-first-serve benchmark algorithms and the seed algorithms with traditional seed addition rules and S-shape routing method. The SASs where nonfood and food products are separately in fewer number of zones are recommended.
摘要：
This paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999-2008 and 2009-2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.
摘要：
With the development of the BI (Business intelligence) applications, robots and robot-based technology appear in various fields. Compact robotic automated parking system will facilitate the informatization and modernization of urban development and environmental protection. Compact robotic automated parking (CRAP) system is a new system with higher storage utilization and rapid response to store and handle cars. This system has double storage rings, instead of one storage ring in old compact automated parking (CAP) system for storing cars in each tier, and each tier is equipped with inner rotating ring and tier-captive automated guided vehicle for horizontal transport. The CRAP system has one elevator with vertical automated guided vehicle in the outer ring instead of the center part in the old CAP system for vertical transport. We first estimate the system performance using queuing network models. Second, we validate the analytical models through simulation and a real case. The simulation results show that we make an accurate estimation. Third, we optimize system configurations by minimizing the car retrieval time. Finally, given the same storage capacity, we compare the car retrieval time based on a real application and footprint area of CRAP system with CAP system. The results show that the car retrieval time can be reduced by at least 29.7% when the system capacity C is 400, and the space utilization can be improved by at least 32.0%.
期刊：
International Journal of Information Management,2020年52(C):102062 ISSN：0268-4012
通讯作者：
Chi, Maomao
作者机构：
[Chi, Maomao] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Huang, Rui] Univ Massachusetts Dartmouth, Charlton Coll Business, Dartmouth, MA USA.;[George, Joey F.] Iowa State Univ, Ivy Coll Business, Ames, IA USA.
通讯机构：
[Chi, Maomao] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
Degree of competition;E-business strategic alignment;Formal contract;Supply chain collaboration
期刊：
Mitigation and Adaptation Strategies for Global Change,2020年25(7):1325-1343 ISSN：1381-2386
通讯作者：
Xiao, Yi
作者机构：
[Li, Keying; Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China.;[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Wang, Shouyang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
通讯机构：
[Xiao, Yi] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
Natural gas consumption forecasting;Emission reduction;Deep learning;STRIPAT model;Gated recurrent unit model;Bagging
摘要：
With the orderly advancement of China Energy Development Strategic Action Plan, clean energy has become a major trend in the energy market. As a major industry of clean energy, natural gas industry plans to consume at least 10% of the total primary energy by 2020. The energy structure will be improved in an orderly manner to achieve the goal of energy conservation, consumption reduction, and emission reduction. To achieve energy saving and emission reduction, and using clean energy effectively, accurate prediction of natural gas consumption is of great importance. Because of the many influencing factors affecting natural gas demand, this paper first utilizes STRIPAT to analyze the factors affecting natural gas consumption and then uses a deep learning ensemble approach to analyze and predict China’s natural gas consumption. One is an advanced deep neural network model named gated recurrent unit model which is used to model the nonlinear and complex relationships of natural gas consumption with its factors. The other is a powerful ensemble method named bootstrap aggregation which generates multiple data sets for training a set of base models. Our approach combines the advantages of these two technologies to forecast the demand for China’s natural gas market. In empirical research, our method has been tested by some competitive methods and has shown superiority.
摘要：
Purpose Social coding platforms (SCPs) have been adopted by scores of developers in building, testing and managing their codes collaboratively. Accordingly, this type of platform (site) enables collaboration between enterprises and universities (c-EU) at a lower cost in the form of online team-building projects (repositories). This paper investigates the open collaboration patterns between these two parties on GitHub by measuring their online behaviours. The purpose of this investigation is to identify the most attractive collaboration features that enterprises can offer to increase university students' participation intentions. Design/methodology/approach The research process is divided into four steps. First, the authors crawled for numerical data for each interactive repository feature created by employees of Alibaba on GitHub and identified the student accounts associated with these repositories. Second, a categorisation schema of feature classification was proposed on a behavioural basis. Third, the authors clustered the aforementioned repositories based on feature data and recognised four types of repositories (popular, formal, normal and obsolete) to represent four open collaboration patterns. The effects of the four repository types on university students' collaboration behaviour were measured using a multiple linear regression model. An ANOVA test was implemented to examine the robustness of research results. Finally, the authors proposed some practical suggestions to enhance collaboration between both sides of SCPs. Findings Several counterintuitive but reasonable findings were revealed, for example, those based on the "star" repository feature. The actual coding contribution of the repositories had a negative correlation with student attention. This result indicates that students were inclined to imitate rather than innovate. Originality/value This research explores the open collaboration patterns between enterprises and universities on GitHub and their impact on student coding behaviour. According to the research analysis, both parties benefit from open collaboration on SCPs, and the allocation or customisation of online repository features may affect students' participation in coding. This research brings a new perspective to the measurement of users' collaboration behaviour with output rates on SCPs.
期刊：
Journal of Cleaner Production,2020年260:120962 ISSN：0959-6526
通讯作者：
Chi, Maomao
作者机构：
[Chi, Maomao; Wang, Ping] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[George, Joey F.] Iowa State Univ, Ivy Coll Business, Ames, IA USA.;[Huang, Rui] Univ Massachusetts Dartmouth, Charlton Coll Business, Dartmouth, MA USA.
通讯机构：
[Chi, Maomao] C;Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
Sharing economy;Bicycle-sharing;Sustainable behavior;Stimulus-organism-response framework;Self-determination theory
摘要：
Sustainable behaviors in the sharing economy have attracted attentions from both researchers and practitioners. Prior literature has mostly focused on sustainable development in the traditional economy and treated sustainability as an influential factor of participation in the sharing economy. Based on the self-determination theory and the stimulus-organism-response (S-O-R) framework, this paper explores the formation mechanisms of sustainable behaviors in the bicycle-sharing economy. An online survey was conducted in China and data were collected from 387 shared-bicycle users. Structural equation modeling was employed to examine the research model and research hypotheses. The study presents three critical findings. First, environmental stimulation (including government laws, enterprise regulations, and social ethics) have a significant and positive impact on user's sense of self-determination (including perceived autonomy, perceived competence, and perceived relatedness). Second, both perceived competence and perceived relatedness can help promote user sustainable behaviors. Third, this study also supports that both perceived competence and perceived relatedness have a mediating effect on the relationship between environmental stimuli and sustainable behaviors of shared-bicycle users. The paper offers insights to both government and firms supporting bicycle-sharing on how to effectively elicit user sustainable behaviors in the bicycle-sharing economy. (C) 2020 Published by Elsevier Ltd.
摘要：
With the rapid development of information technology and mobile Internet access, social media content has become extremely abundant and open, and users have become heavily dependent on social reading. As a result, users’ reading motivation has greatly changed from traditional reading to digital reading to social reading. Exploring the potential effects of social reading can contribute to providing strategies to accurately target high-quality reading content to help promote reading with social media. Drawing upon the use and gratifications theory and reading motivation scales, the current study examines the effectiveness of reading motivation to explore in depth the influencing mechanism of users’ reading on social media. Structural equation modeling is employed to empirically test the impact factor model. The results indicate that social media users’ reading motivation mainly includes entertainment, self-presentation, information acquisition, social promotion, and social interaction. Regarding the overall contribution, social motivation is the most important factor in social media reading activities, followed by intrinsic reading motivation and information reading motivation. The findings and their implications are discussed to provide suggestions for social media operators promoting high-quality reading.
