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A global pandemic of coronavirus COVID-19 affects the manufacturing supply chains significantly. This study aims to identify and evaluate the reaction of manufacturing supply chains in using the concept of double-loop learning to mitigate the disruptions induced by COVID-19 at the early stage of pandemic. A two-stage research process has been developed that firstly involves determining the learning pattern of enterprises in industrial supply chains and identifying actions taken. Then, the relationship between taking actions in the field of double-loop learning in the manufacturing supply chains and expecting a change in their market situation, and having knowledge in the field of adaptation to changes caused by the COVID-19 pandemic was examined. The study shows that there is a high level of caution in taking proactive measures in supply chains and a lack of knowledge in the field of adapting industrial supply chains to sudden disruptions caused by the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Research background: A rapidly developing e-commerce market and growing customer expectations regarding the speed and frequency of deliveries have made the last mile of the supply chain more challenging. The expectations of e-customers increase every year. They choose those companies that deliver goods faster and cheaper than others. A significant group of customers in Poland still selects home delivery. Many of them frequently return products to the retailer. These expectations and behaviour pose a challenge for the transport companies to deliver parcels to individual customers soon after the purchase, sometimes even on the same day. In addition, in creasingly frequent deliveries contribute to environmental pollution, congestion, and accidents, as well as more expensive deliveries. Purpose of the article: The paper aims to identify e-customers' preferences and assess their impact on sustainable last-mile delivery (LMD) in the e-commerce market. The authors have also identified factors influencing e-customers' behaviour to make last-mile delivery more sustainable. Methods: The conjoint analysis was applied to evaluate a set of profiles defined by selected attributes in order to investigate the overall preferences for the profiles created by the respondents to the survey. Findings & value added: The segmentation of e-customers according to their preferences connected with last-mile delivery was presented. The added value of the paper is the presentation of the methodology to assess the impact of customer preferences on sustainable last-mile delivery. The obtained results may contribute to the formulation of recommendations for e-commerce and logistics companies regarding the preferences of e-customers to improve the sustainability of lastmile delivery. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters. Design/methodology/approach: The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied. Findings: The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration. Research limitations/implications: The main limitations are referred to as the static character of the data. Practical implications: The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations. Originality/value: This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC. [ABSTRACT FROM AUTHOR]

Nowadays, sustainability issues are at most importance for the global world. The Agenda 2030 for sustainable development is the key strategy in this field. When sustainability issues are discussed, the most often topics relate to sustainable cities, sustainable supply chain, sustainable transportation etc. However, it must be noted that sustainability concerns to almost all the issues related to the functioning of enterprises, society, cities, etc. It also has an impact on the innovation activity of enterprises. Responsible innovations, eco-innovation, green innovations are the topics lately studied by scholars around the world. Thus, the study aims to identify the relationships between terms of innovations related to the environment and other research areas presented in the literature. For this purpose, the extensive literature revives of publications indexed in the WoS database has been provided. The main research questions are: How the relationships between the notions described a new direction of the research in the innovations area for the environment, are created? Is it possible to identify the only one kind of relationship between the keywords described the eco-innovations and other similar notions with other research areas? The conducted analyzes show that in the literature many different terms describing innovations created for the environment, can be identified. Although innovations that are safe for the environment are a relatively new topic, the number of publications identified in the WoS database and their dynamic growth confirms the importance of research conducted in this area. Therefore, it is necessary to organize the terminology used and indicate whether these terms and in what cases can be applied interchangeably. Research in this area will also be conducted by the authors of this article in the future. [ABSTRACT FROM AUTHOR]