WTP差异下再制造闭环供应链的回收模式选择

在消费者对再制造产品及新产品的支付意愿存在差异的条件下,以制造商主导的再制造闭环供应链为对象,比较分析了由制造商、零售商及第三方回收商负责回收模式下制造商利润、回收率及零售价三个决策因素,为制造商回收模式的选择提供参考.研究表明:从回收率最优的角度出发,制造商应选择直接回收;而按零售价最低及制造商收益最大化的角度,零售商回收模式最优.     

闭环供应链中互联网回收平台合作推广研究

考虑单个制造商，单个网络零售商和单个第三方回收商组成的闭环供应链系统，网络零售商在销售产品、推广零售平台的同时,利用自身知名度向消费者宣传推广第三方回收商的互联网回收平台，制造商选择是否分摊零售商和回收商的推广成本，文中分三种情形研究供应链成员的最优决策，并进行了对比分析。研究表明：制造商分摊推广费用比不分摊推广费用的效果好；制造商分摊网络零售商的推广费用比分摊第三方回收商的推广费用的推广效果好。     

考虑渠道权力结构的闭环供应链定价与协调

研究了集中式和分散式决策的三种渠道权力结构下闭环供应链的定价问题,比较各种情况下定价和利润的差异,并运用二部定价契约探讨了不同渠道权力结构下闭环供应链的协调方法。研究表明:MS与RS情形下闭环供应链的总利润相同且低于VN情形;随着产品替代系数的增加,新制造和再制造产品的价格均提高,制造商和零售商的利润均增加;随着回收努力程度的提高,两种产品的价格均提高,而制造商和零售商的利润均减少;运用二部定价契约可通过主导方或借助第三方有效协调闭环供应链。     

奖惩机制下制造商竞争的闭环供应链决策模型

本文分别建立了集中式决策,无奖惩机制的分散式决策以及奖惩机制下考虑制造商竞争的闭环供应链决策模型。通过逆向归纳法对三种情况下决策变量的求解与比较,分别得到了闭环供应链的回购价、批发价、零售价及回收率。研究表明：与无奖惩机制下的分散式决策情形相比,政府奖惩机制能有效引导制造商降低新产品价格、提高回收率、增加闭环供应链各成员企业的利润,同时有利于增加消费者的利益;奖惩机制下主动回收废旧产品的制造商利润增加,不回收的制造商利润降低,有效引导了制造商的回收积极性,同时回收商与零售商利润的增加也提高了她们参与闭环供应链的积极性,进而使得整个闭环供应链的成员企业有效协调。     

回收责任分担视角下零售商主导闭环供应链的政府奖惩机制研究

研究零售商主导的闭环供应链奖惩机制问题，分别建立了四个博弈模型：政府对制造商实施奖惩机制；政府对回收商实施奖惩机制；政府同时对制造商和零售商实施奖惩机制以及同时对制造商和回收商实施奖惩机制。研究表明：政府对制造商实施奖惩机制、政府对回收商实施奖惩机制以及政府同时对制造商和回收商实施奖惩机制三种情形下零售价、回收率和批发价相等，且总利润相等；政府同时对制造商和零售商实施奖惩机制与其它情形相比，废旧产品的回收率较低，批发价较高，且总利润降低，但四种情形下零售价相同；当政府同时对制造商和回收商实施奖惩机制时，若制造商承担的回收责任较大，则闭环供应链成员都能从奖惩机制中获益。     

第三方回收商领导型两级闭环供应链的回收与定价策略

与一般废旧产品的回收产品再制造相比,废弃电子电器产品回收拆解后需要兼顾产品与零部件再制造,从而减少电子电器产品对环境的污染,推进资源的重复利用。为了探讨第三方回收商的回收与定价策略对供应商和制造商的影响,本文构建由单一供应商、制造商和第三方回收商组成的两级再制造闭环供应链,建立Stackelberg博弈模型,研究两级再制造情形下和仅产品再制造情形下回收商的有效回收比例、回收定价和回收努力程度等决策,并对两种再制造情形下供应链各成员的决策与收益进行对比分析。研究发现：对于回收商而言,回收数量、有效回收比例的增加有助于回收商获得更多的额外收益。如果在仅产品再制造情形下的有效回收比例较大,回收商的决策和收益主要取决于无效零部件的回收价。当无效零部件的回收价较低时,回收商在仅产品再制造情形下的决策和收益更优;反之,回收商在两级再制造情形下的决策和收益更优。对于其他供应链成员而言,两种再制造策略都能够降低供应商和制造商的定价,促进市场需求的增加。具体而言,不同的再制造策略对批发价、零售价和市场需求的影响与有效回收比例和无效零部件的回收价密切相关。     

信息分享模式对第三方负责回收闭环供应链的影响

研究了零售商预测信息分享对第三方负责回收闭环供应链的影响.分别建立了集中式闭环供应链下信息分享模型以及四种信息分享模式(无信息分享、信息仅与第三方分享、信息仅与制造商分享和信息与制造商和第三方均分享)的闭环供应链模型.研究发现,零售商分享其私有预测信息对其收益是不利的,但信息分享使得信息仅与第三方分享模式下供应链预期利润增加,通过建立信息分享补偿机制使得零售商有动机分享其需求预测信息.同时发现信息分享对各方的价值以及各方对信息分享模式的偏好取决于回收旧产品价格.     

不同权力结构和联盟策略下风险规避型闭环供应链决策

本文旨在探讨不同渠道权力结构和联盟策略下风险规避型闭环供应链的决策问题。考虑到产品需求和废旧产品回收的不确定性及决策者的风险规避特性,在制造商主导、零售商主导及制造商和零售商势力均衡三种情形下,分别构建了制造商和零售商联盟与不联盟时的闭环供应链博弈模型,获得了六个博弈模型下的均衡解,对比分析了不同模型下产品定价、废旧产品的最优回收价格和供应链及其成员的期望收益。研究结果表明,在制造商和零售商不联盟的情形下,决策者的风险规避程度增加能够缓解双重边际效应,供应链期望收益与风险规避程度正相关,而在制造商和零售商联盟的情形下,供应链期望收益与风险规避程度负相关;制造商和零售商不联盟时,制造商和零售商势力均衡的渠道权力结构对消费者最有利,而制造商和零售商联盟时,制造商和零售商势力均衡的渠道权力结构对消费者最不利;制造商和零售商权力结构不对等时最优价格决策之间的关系与制造商和零售商的风险规避程度有关;供应链期望收益在制造商和零售商势力均衡下最大,制造商期望收益在制造商主导的渠道权力结构下最大,零售商期望收益在零售商主导的渠道权力结构下最大。     

不同补贴对象下的闭环供应链定价模型北大核心CSCDCSSCI

基于混合回收渠道的充分竞争闭环供应链中的研究假设,针对政府采取不同补贴对象策略(消费者、零售商、制造商或第三方回收商)分别建立闭环供应链定价模型;通过不同补贴对象下闭环供应链的销售渠道定价指标、回收渠道定价指标以及渠道成员利润分配的对比研究对不同补贴对象的影响系数对渠道成员定价决策和利润的影响进行分析。研究结果表明:当政府直接补贴给消费者和零售商时,销售渠道上的定价指标(产品批发价和市场销售价)较高,而回收渠道上的定价指标(废旧产品第三方回收价和制造商回收价)以及渠道成员的利润分配较低;而当政府补贴给制造商和第三方回收商时,销售渠道上的定价指标较低,而回收渠道的上的定价指标以及渠道成员利润分配较高。     

基于决策优先权的闭环供应链运作效益研究

针对由一个制造商和两个零售商组成由制造商直接回收旧品的闭环供应链系统,利用博弈论方法,研究了零售商决策权均衡的"E"情形和其中一个零售商具有决策优先权的"A"情形对于运作效益的影响.通过结果比较分析,可知"A"情形相对于"E"情形,制造商的边际利润增大而最优利润均下降,但两个零售商的边际利润和最优利润均有所增加.所以"A"情形中,制造商的最优利润降低,主要是由于回收努力系数的降低所致,但边际利润增加了,同时,回收努力系数较小,所以对于刚刚涉足产品回收和再制造的制造商来说,"A"情形不失为一种较好的选择;但"E"情形是制造商积累了闭环供应链管理经验后的终极选择.     

Educational Landscapes and Urban Development. Contextual and Spatial Interfaces and Linkages

In the broad sociopolitical discussion on education quality within the last decade, it has become apparent that education is gaining importance for urban development, as well as space and the urban context are important dimensions of education. This becomes particularly evident in concepts for local educational landscapes (Ger. Bildungslandschaften). The young field of research on educational landscapes is currently lacking empirical research from spatial and planning sciences. In the paper, the current state of scientific research on educational landscapes in Germany and Europe and first insights to contextual and spatial interfaces and linkages between education and urban development in general are presented.     

Inventory Models with Continuous and Poisson Demands and Discounted and Average Costs

We develop a new, unified approach to treating continuous‐time stochastic inventory problems with both the average and discounted cost criteria. The approach involves the development of an adjusted discounted cycle cost formula, which has an appealing intuitive interpretation. We show for the first time that an (s, S) policy is optimal in the case of demand having a compound Poisson component as well as a constant rate component. Our demand structure simultaneously generalizes the classical EOQ model and the inventory models with Poisson demand, and we indicate the reasons why this task has been a difficult one. We do not require the surplus cost function to be convex or quasi‐convex as has been assumed in the literature. Finally, we show that the optimal s is unique, but we do not know if optimal S is unique.     

E-governance and Corruption-developments and Issues in Ethiopia

This paper reports the results of a survey of 400 respondents in Ethiopia about factors generating corruption and the potential of e-Governance to mitigate corruption. It is suggested that e-Governance can help not only in weeding out corruption but also in the establishment of sounder government citizen relationships in Ethiopia. While e-Governance cannot cure all the structural factors that breed corruption in the society, strategic implementation of e-Governance can help improve the critical variable in combating corruption-government citizen relationships. It is argued that while e-Governance initiatives can make important contributions to improving public services they can best do so by helping improve overall relationships between governments and citizens.

CEO and Chairperson characteristics and firm performance

This paper focuses on the relationship between Chief Executive Officer (CEO) and Chairperson characteristics and firm performance. Specifically, the study examines the association between the characteristics of the CEO and the Chairperson of the board and firm performance. Using a sample of S&P 500 firms, the evidence found suggests that demographic and experience-related characteristics may be associated with the market valuation and financial performance of the firm. In particular, the reported results indicate a positive relationship between the presence of female CEOs or Chairs and firm performance, thus suggesting that gender-based differences may affect the CEO’s/Chairperson’s success. Moreover, the findings concerning the age of the CEO or Chair are mixed, while their experience and quality appear positively related to firm performance. Interestingly, a CEO or Chairperson holding multiple board seats is negatively associated with firm performance, whereas CEO duality has a positive relationship with Tobin’s Q and the return on assets (ROA) of the firm.     

David and Goliath: causes and effects of coopetition between start-ups and corporates

Coopetition (collaboration between competitors) among young firms (i.e. start-ups) and larger, more established firms (i.e. corporates) may be beneficial for both partners as each party typically has something to offer that is missing in the other. Start-ups often develop innovative ideas, are flexible and agile, willing to take risks, and aspire to achieve high growth, but they tend to lack the required resources, capabilities, and knowledge due to their newness and smallness. Corporates have resources, routines, and experience that enable them to work efficiently but lack a certain innovation capability. Research has suggested that coopetition represents an opportunity for start-ups facing restrictions in resources, while corporates benefit from start-ups’ innovative ideas. However, it is yet unknown whether start-ups and corporates engage in coopetition with each other and, if so, how and why they do this. This study seeks to fill this void by exploring the motives of coopeting start-ups and corporates, how they manage their coopetitive relationship, and what implications occur including potential benefits and risks. We present a multiple case study based on qualitative data collected through 70 interviews with Austrian-based start-ups and corporates representing 35 coopetitive partnerships. Discussing the findings based on our data, we propose relationships concerning coopetition and its role to enlarge resource- and technology-bases as well as its role in the development of dynamic capabilities.     

Career orientations and career success among research,and development and engineering professionals

Managing the careers of research, development and engineering (RD&E) professionals is important to the strategic use of RD&E in the economy. Appropriate mechanisms for motivating RD&E professionals will probably emerge as a critical success factor for organizations that want to compete in world markets. This study examines dimensions and levels of career orientation and their correlations with individual and work-related outcome variables among 78 RD&E professionals. The findings reveal a rich diversity of career orientation in RD&E professionals. The data strongly suggest that RD&E professionals are service, lifestyle and security oriented. However, they scored low on technical orientation and entrepreneurship. This paper suggests that the dual career ladder is not an effective device for managing RD&E professionals. Organizations must be careful to provide career paths that retain and motivate workers and, more importantly, find matches between organizational needs and individuals' needs, and restructure jobs accordingly. The authors offer suggestions for future research and identify implications for management.     

Modeling Pathology Workload and Complexity to Manage Risks and Improve Patient Quality and Safety

Anatomic pathology (AP) laboratories provide critical diagnostic information that help determine patient treatments and outcomes, but the risks of AP operations and their impact on patient safety and quality of care remain poorly recognized and undermanaged. Hospital-based laboratories face an operational and risk management challenge because clinical work of unknown quantity and complexity arrives with little advance notice, which results in fluctuations in workload that can push operations beyond planned capacity, leading to diagnostic delays and potential errors. Modeling the dynamics of workload and complexity in AP offers the opportunity to better use available information to manage risks. We developed a stock-and-flow model of a typical AP laboratory operation and identified key exogenous inputs that drive AP work. To test the model, we generated training and validations data sets by combining data from the electronic medical records and laboratory information systems over multiple years. We demonstrate the implementation of 10-day AP work forecast generated on a daily basis, and show its performance in comparison with actual work. Although the model somewhat underpredicts work as currently implemented, it provides a framework for prospective management of resources to ensure quality during workload surges. Although full implementation requires additional model development, we show that AP workload largely depends on few and accessible clinical inputs. Recognizing that level loading of work in a hospital is not practical, predictive modeling of work can empower laboratories to triage, schedule, or mobilize resources more effectively and better manage risks that reduce the quality or timeliness of diagnostic information.     

Work and shopping overflow — Consequences and differentiation among selected psychological and demographic characteristics

Contemporary individuals are forced to deal with excessive stimulation, which causes an overload in the cognitive and emotional areas. The purpose of this paper is to investigate the possible factors differentiating the perceived level of work and shopping overflow experienced by individuals and consequences of these states. Two psychological variables: cognitive control and sensation seeking, are chosen as potential factors differentiating the perceived levels of overflow. We assume that individuals with high cognitive control and sensation seeking will report lower levels of both types of examined overflows. Experiencing low overflow levels may manifest in the search for additional stimuli, rather than in the desire to limit them. Two indexes of behavior connected to seeking extra stimulation are selected: one belonging to the area of consumer behavior (readiness to participate in the experience economy) and one belonging to vocational behavior (choosing a boundaryless career). The quantitative study is conducted on a sample of 297 management students who are currently employed. The research results support the relation between cognitive control and perceived level of work and shopping overflow. Individuals who can cognitively control the situation and the incoming stimuli report lower levels of overflow. No significant relationship between sensation seeking and the level of overflow is found. The demographic variables that influence the perceived overflow are age and salary for work overflow and age for shopping overflow. As far as consequences of overflow are concerned, a low level of shopping overflow is related to readiness to participate in the experience economy. However, there is no link between work overflow and preferred career pattern. The managerial implications for human resource management and marketing strategy design are discussed.     

Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments

The concept of mental workload has long been recognized as an important factor in individual performance within complex systems. It is documented that either overload or underload may degrade performance, and further affect the efficiency of the whole system. Therefore, systems designers need some explicit models to predict the mental workload imposed on individuals by the system at an early design phase so that alternative system designs can be evaluated. In examining mental-workload literature, it is found that few predictive mental-workload models have considered factors specific to individuals. This research aims to develop a practical framework for predicting mental workload in both single- and multi-task environments considering such individual factors. In order to describe mental workload more precisely and more completely, a framework for mentalworkload definitions, which contains instantaneous workload, average workload, accumulated workload, peak workload and overall workload, is proposed. In order to model individual factors, two new variables, i.e. effective workload and ineffective workload, are introduced to model the taskgenerated workload and individual-generated workload. The extension of the model to multi-task environments is also discussed. The proposed conceptual models are domain-independent and could be used to guide the development of operational models for different specific tasks.