农产品电商与物流共生关系演化及协同度评价研究

农产品电商与物流协同将直接影响农产品的流通水平。运用共生理论,剖析了农产品电商与物流的共生关系机理与演化形式。利用微分方程分析了共生关系的演化过程,求解了共生关系的稳定条件。结果表明,协同共生均衡状态下产出水平得到提高,协同共生关系进入理想的稳定状态需要外部引导干预。对2013—2018年中国农产品电商与物流协同度变化的测量结果表明,当前中国农产品电商与物流协同尚处于初级阶段,共生关系表现为非互惠协同共生。     

浅析区块链技术对小微企业信用认证及融资的作用

随着经济社会的全面发展,经济全球化已经成为全新的发展趋势,紧随其后的是后金融危机时代的到来。区块链是一种特定的数据技术,它在安全和便捷方面一直被业内人士所看好。论文围绕区块链技术对小微企业信用认证及融资的作用展开讨论分析,通过讨论分析有助于实现小微企业成功融资,为我国小微企业提供强有力的保障与支撑。     

Sustainable supply chain management and partner engagement to manage climate change information

Climate change poses significant new risks and challenges for businesses and their supply chains. Additionally, in many sectors, Scope 3 indirect greenhouse gas emissions resulting from the sourcing and distribution of goods and services are larger than firms' own carbon footprints. Here we study how firms engage their key stakeholders in their supply chains in obtaining, processing, and transferring relevant climate change‐related information designed to overcome information asymmetry and drive sustainable development. Grounded in organisational information‐processing theory (OIPT), we draw on data from the Carbon Disclosure Project's Climate Change Supply Chain initiative for a qualitative content analysis of a large sample of global firms. Consistent with OIPT, we find that although firms primarily engage their supply chain partners in a variety of ways to reduce information uncertainty around indirect emissions data, effectively interpreting and managing broader sustainability information equivocality becomes a growing priority. Our findings further suggest that firms engage suppliers, customers, and other supply chain partners through basic, transactional, and collaborative types of engagement. We contribute to literatures on interorganisational information processing and sustainable supply chain management by providing a more detailed understanding of how firms engage supply chain partners in the context of climate change.     

Emotions,deliberations, and end‐of‐life products

Death is inevitable; yet, not all consumers prepare for death by purchasing end‐of‐life (EOL) products. Using the theory of reasoned action (TRA) and the dual‐process model framework, this study aims to examine the role of emotions and cognitions in influencing consumers' decisions to engage in planning for death. A mixed methodology design was used. Study 1, a qualitative study, uncovered positive and negative emotions and deliberative reasoning that comprise consumers' EOL purchase decision process. Study 2, a quantitative study, confirmed that emotions and deliberations independently and jointly influenced consumers' EOL attitude and behavior and that emotions affected deliberations for both prepaid funerals and wills. Subjective norms outperformed attitude in predicting both products' purchase behavior. These finding supported the dual‐process model of behavior and the TRA in the EOL research context and contributed to the EOL literature by investigating the effects of emotions and deliberations concurrently; thus validating the important role of emotions in influencing EOL planning and purchase. In light of our findings, marketers could, after due cognizance of the morbidity and sensitivity of the topic, develop actionable promotional and segmentation strategies for EOL products and other emotion‐laden, unsought products and service.     

An extended likelihood framework for modelling discretely observed credit rating transitions

The estimation of the parameters of a continuous-time Markov chain from discrete-time observations, also known as the embedding problem for Markov chains, plays in particular an important role for the modeling of credit rating transitions. This missing data problem boils down to a latent variable setting and thus, maximum likelihood estimation is usually conducted using the expectation-maximization (EM) algorithm. We illustrate that the EM algorithm is likely to get stuck in local maxima of the likelihood function in this specific problem setting and adapt a stochastic approximation simulated annealing scheme (SASEM) as well as a genetic algorithm (GA) to combat this issue. Above that, our main contribution is to extend our method GA by a rejection sampling scheme, which allows one to derive stochastic monotone maximum likelihood estimates in order to obtain proper (non-crossing) multi-year probabilities of default. We advocate the use of this procedure as direct constrained optimization (of the likelihood function) will not be numerically stable due to the large number of side conditions. Furthermore, the monotonicity constraint enables one to combine structural knowledge of the ordinality of credit ratings with real-life data into a statistical estimator, which has a stabilizing effect on far off-diagonal generator matrix elements. We illustrate our methods by Standard and Poor’s credit rating data as well as a simulation study and benchmark our novel procedure against an already existing smoothing algorithm.     

Understanding consumers' purchase intentions toward natural‐claimed products: A qualitative research in personal care products

In recent years there is a trend of consuming natural products for a sustainable and healthier life. Therefore, firms began aligning their strategy with sustainability by communication strategies that they produce natural products, which are better for health as well as the environmental sustainability. However, sometimes these claims may be deceptive. The purpose of this paper is to understand the consumers' purchasing intentions toward products claiming naturalness in their advertising and packaging strategies. This research also examined greenwashing perceptions and their potential roles in purchasing intentions. In‐depth face‐to‐face interviews carried out with 20 Turkish women regarding personal care products (local brand and international brand). The findings of the interviews revealed eight themes (perceived greenwashing, perceived green image, price perception, environmental concern, green trust, skepticism, perceived risk, and purchase intention). This study contributes to predict a framework from consumer viewpoint for identifying the themes related to greenwashing.     

Transmission of CSR requirements in supply chains: investigating the multiple mediating effects of CSR activities in SMEs

In recent years, scholars have increasingly turned their attention to the separate areas of corporate social responsibility (CSR) and supply chain management (SCM). However, little scholarly attention has been paid to the transmission of CSR requirements from a small to medium-sized enterprises (SME) perspective. Drawing on institutional and innovation diffusion theories, this paper investigates to what extent the CSR requirements of customers influence the CSR activities of SMEs and their CSR requirements toward their own suppliers. Multiple mediation analysis was performed on data from a sample of 146,060 French SMEs. The findings indicate that the CSR requirements of customers have a direct negative effect on SMEs’ CSR requirements toward suppliers. However, the relationship becomes positive when we take into account the mediating role of the SMEs’ own CSR activities (i.e. economic, social and environmental activities). Furthermore, the study reveals that the indirect effect through economic CSR activities is the greatest, followed by social and then environmental CSR activities. Our main contribution is that implementing CSR activities within SMEs is a necessary step so that SMEs can be brokers in the transmission of CSR requirements in the supply chain.     

Luxury products for the circular economy? A case study of Bang & Olufsen

This paper examines whether luxury products can support a circular economy. This is done through a literature review of luxury products and the links to circular economy, as well as a case study of Bang & Olufsen (B&O). The literature review revealed links between some of the core characteristics of luxury products and the circular economy. This included aspects such as the high quality, durability, service schemes, extended warranties, and large aftermarkets. The case study supports the links between the inner circles in the circular economy (maintenance, repair, and reuse) and some of the core characteristics of luxury products. B&O produces products with a long lifespan, has extended warranties, repair and service schemes, spare part availability for 8 years, an aftermarket, and leasing schemes. B&O also does reconditioning of components for its repair loop, conducts dismantling tests, marks plastic parts, and has a negative list that excludes certain hazardous components.     

You'll never walk alone: Why we need a supply chain practice view on digital procurement

This paper conceptualizes digital procurement readiness as a dyadic construct and introduces the supply chain practice view (SCPV) as a theoretical lens that can help guide future research on digital procurement. We build on a literature review and on dyadic, explanatory case studies to provide a nuanced understanding of how the digital readiness of supply chain partners—on both sides of the dyad—needs to co-evolve for the implementation of digital procurement practices. Specifically, we outline how the SCPV can serve as both a holistic and a supply chain-specific framework for future research on the following: 1) the antecedents that help explain why supply chain partners adopt inter-organizational digital procurement practices, and 2) the relational performance outcomes derived from their use. For managers, this study implies the need to explicitly consider interactions with and influences of supply chain partners in their quest to rapidly and effectively digitalize procurement.