The Energy Internet has become a hot topic for the integration of sustainable energies. However, as a result, there are numerous sustainable energy forms and participants, the system is extremely complex, and some key issues are difficult to overcome, such as the control and management of distributed sustainable energy forms. On the other hand, blockchain technology consists of distributed data storage, peer-to-peer transmission, a consensus mechanism, encryption algorithms, and smart contracts. Applying the technical advantages of the blockchain to the Energy Internet can solve many of the problems that hinder its development. The purpose of this paper is to review the development of blockchain and the Energy Internet, and provide some references for the possible applications of blockchain technology to the Energy Internet. Firstly, the definition and characteristics of blockchain and the Energy Internet are introduced in detail. Secondly, the compatibility of the two is analyzed. Then, several application scenarios of blockchain in the Energy Internet are put forward. Finally, the challenges that still exist when applying the current blockchain technology to the Energy Internet are analyzed.

China’s economy has stepped up from the high-speed growth stage to the high-quality development stage. With the high-quality development of the economy, the logistics industry is bound to move towards high-quality development. By establishing the index system of high-quality economic development and logistics, this work has measured their high-quality development level and analyzed their coupling coordination degree by using the coupling coordination model. The results show that there are great regional differences in high-quality economic development, high-quality logistics development and their coupling coordination degree in China. In the areas with high-quality economic development, the logistics industry is not necessarily high quality, and the coupling coordination degree between the logistics industry and high-quality economic development is generally not high. The main reason for this is that the coordination between the logistics industry and high-quality economic development is poor. While vigorously improving the high-quality level of the logistics industry, it should strengthen the high-quality connection between the logistics industry and the economy, so as to form a situation of mutual promotion and common development.

Purpose: In light of the current challenges in the business environment, firms, particularly those involved in supply chains, must foster innovation. In this context, the current study employs the theory of dynamic organizational capabilities (DOCs) to track supply chain learning capabilities (SCLCs) and independently uncover their relationship to innovation at both the product and process levels. Similarly, the study intends to investigate the influence of technological turbulence (TT) on these relationships as a moderating variable.Design/methodology/approach: The data were gathered using in-person interviews with 189 CEOs with some supply chain management proficiency from small and medium-sized enterprises (SMEs) in the industrial zones of eastern Egypt. The study used a survey approach to collect data, and the SEM-PLS technique was utilized to analyze the data.Findings: Study findings revealed that SCLCs positively affect product and process innovation. In addition, TT positively moderates the relationship between SCLCs and product and process innovation, except for risk-taking capability. Further theoretical and practical implications are derived from the study findings.Originality/value: This research adds to the knowledge of the dynamic capabilities theory (DCT), which affects how firms interact with their external environment. Studying learning capabilities are employed as essential competencies to counterbalance high levels of TT in the external environment in terms of innovative performance and vice versa if firms do not attempt to strengthen their dynamic learning capabilities in supply chains. In addition, this study contributes to the literature by studying learning capabilities from the external perspective, where SCLCs are being developed as a new variable to improve innovation.

Purpose: This study explores how sustainable reverse logistics (SRL) influences environmental performance (EP) in the manufacturing sector, with a focus on the mediating role of sustainable resource commitment (SRC) and the moderating effect of organizational learning capability (OLC). Design/methodology/approach: Data was collected from manufacturing firms in Shaanxi Province, China. The study developed a model and tested all hypothesized relationships using structural equation modeling (SEM) with partial least squares (PLS). Findings: The results reveal that SRL is positively linked to EP, and SRC significantly mediates the relationship between them. Furthermore, OLC moderates the relationship between SRL and EP, enhancing the overall effect. Research limitations/implications: The findings offer valuable practical insights into how adopting sustainable practices, integrating circular economy principles and leveraging organizational learning capabilities can enhance sustainability in manufacturing firms. However, the reliance on data from a single country limits the generalizability of the findings, highlighting the need for future research across diverse geographical contexts to explore how circular economy-driven sustainability strategies vary in different industrial and regulatory environments. Originality/value: This study adds to the existing literature on environmental performance by integrating SRL and offering a novel framework. It empirically examines the mediating role of SRC and the moderating effect of OLC, which remain underexplored.

Purpose: The study aims to reveal the relative importance of each characteristic of a proactive prosumer and determine the role of each characteristic in improving technological innovation. Design/methodology/approach: Our data were collected via emails using a final sample of 280 technical managers from Egypt’s information technology (IT) firms who have some software development expertise. The data were analyzed using the iterative dichotomiser 3 (ID3) algorithm. Findings: The results indicate that proactive prosumer characteristics (initiative and creativity) positively affect technological innovation. Furthermore, there is no technological innovation without initiative. Research limitations/implications: This study uses ID3 decision tree analysis to analyze the role of proactive prosumers in technological innovation. It greatly advances the area by addressing the need for quantitative studies in administrative sciences. The study highlights initiative and creativity as essential innovation drivers, contributing to consumer and prosumption theories and the changing consumer-firm connection. The ID3 algorithm distinguishes the study from earlier statistical studies. The study’s limitations advise increasing prosumer literature, studying psychological aspects and comparing cultures. Use various algorithms and moderator and mediator factors to improve methodology. Technical managers' opinions must also be understood. Originality/value: This research contributes to the existing knowledge base by examining the intricate relationship between proactive prosumers and technological innovation. It offers a novel approach by employing the ID3 decision tree algorithm within the administrative sciences, a domain that needs to be explored in prosumer research. By bridging the methodological gap, this study addresses the need for more quantitative investigations into prosumers in the management field. Furthermore, it pioneers the application of artificial intelligence techniques to analyze the prosumer phenomenon quantitatively. The paper concludes by outlining potential avenues for future research.

Purpose: This study examines the impact of organizational sustainability on logistics performance in Nigeria, with a focus on the critical moderating role of infrastructure quality. Design/methodology/approach: A sequential mixed-methods design was employed, combining quantitative survey data from 350 logistics firms analyzed using structural equation modeling and moderation/mediation tests with qualitative insights from 15 stakeholder interviews. Thematic analysis contextualized quantitative findings within Nigeria’s infrastructural realities. Findings: Results confirm a positive relationship between organizational sustainability and logistics performance (β = 0.45, *p* < 0.001), moderated by infrastructure quality (interaction β = 3.47, *p* < 0.001). Robust infrastructure amplifies sustainability’s benefits, while deficits, such as poor roads and unreliable energy, hinder them. Partial mediation by infrastructure quality (Sobel β = 0.28, *p* < 0.01) suggests organizational sustainability may indirectly improve infrastructure, though moderation is the dominant mechanism. Research limitations/implications: The cross-sectional design of this study limits causal inferences regarding the relationships between organizational sustainability, logistics performance and infrastructure quality in Nigeria. Future research should employ longitudinal methods to capture the dynamic interplay among these variables. Additionally, expanding the geographical scope to include other emerging economies with similar infrastructural challenges could enhance the generalizability of the findings. Practical implications: Logistics firms should adopt context-sensitive sustainability strategies such as prioritizing route optimization over electric vehicles where charging infrastructure is lacking. Policymakers must align sustainability policies with targeted infrastructure investments to unlock economic and environmental benefits. Originality/value: This study advances sustainable logistics literature by being among the first to empirically validate infrastructure quality’s dual moderating and mediating roles in a developing economy, revealing how sector-specific infrastructural gaps constrain sustainability outcomes in an emerging economy context.