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This paper aims to integrate the consumption perspective within the Industrial Marketing and Purchasing (IMP) debate. The study delves into how consumer communities can be conceived like other network business actors. The perspective of sustainable new ventures (SNVs) in the fashion industry is adopted, considering their specific connection with consumer communities.

Adopting a multiple case study methodology, this paper uses a qualitative approach. Data collection mainly relies on interviews conducted with 10 SNVs in the fashion industry; this sector is a fertile ground for studying sustainability and consumer communities. For data analysis, the abductive approach of systematic combining is applied.

The paper identifies four distinct types of consumer communities and four roles that they can assume as business actors in the business network. Owing to their engagement in these specific roles, consumer communities become part of the SNVs’ network, akin to other business-to-business players.

This study represents one of the initial endeavors to introduce consumption into the IMP theoretical framework. In this paper’s conceptualization, consumer communities are groups of consumers and collective actors in the business network. Additionally, this study advances the research on sustainability as a network concept by including consumer communities’ roles in business networks.

This paper aims to propose and evaluate an innovative approach to education for sustainable consumption (ESC) which empowers teenagers and young adults to improve sustainable consumption competences. This approach combines pedagogical learning approaches such as real-world learning (e.g. experiential learning and research-based learning) with transformative and transdisciplinary research approaches (i.e. real-world laboratory research).

Through a transdisciplinary research design, the authors explore if real-world experiments (RWEs) offer a suitable approach for sustainable consumption education at schools. RWEs are a research approach for knowledge production, aiming to go beyond temporary interventions, to establish semi-permanent spaces for sustainability transformation and reflexive learning. To evaluate this proposal, the authors study already existing active teaching and learning approaches developed within and for ESC and put these in perspective, to define and understand the RWEs.

Insights from a transdisciplinary research project which applied RWEs as a teaching and learning approach in German schools complement conceptual considerations. As a result, advantages, such as the development of core competencies among learners, but also challenges experienced, are illustrated. Though, the challenges found are not unique to the RWE, rather they point out important potentials for ESC through suggesting systematic changes in educational institutions and teaching approaches.

This paper explores RWEs as an active and participatory teaching and learning approach for sustainable consumption education at schools and delivers practical insights and a definition of RWEs as an innovative teaching and learning approach.

This study aims to convey lessons learned from two sustainability initiatives at Norway’s largest university. This contributes to knowledge-based discussions of how future, sustainable higher education institutions (HEIs) infrastructures should be envisioned and planned if the fundamental uncertainty of the future development of learning, researching and teaching is acknowledged.

This study was submitted on 24 January 2023 and revised on 14 September 2023. HEIs, particularly when they are engaged in research activities, have a considerable environmental footprint. At the same time, HEIs are the main producers and disseminators of knowledge about environmental challenges and their employees have a high awareness of the urgent need to mitigate climate change and biodiversity loss. In this study, the gap between knowledge and environmental performance is addressed as a question of infrastructural change, which is explored in two case studies.

The first case study presents limitations of ambitious, top-down sustainability planning for HEI infrastructures: support from employees and political support are central for this strategy to succeed, but both could not be secured in the case presented leading to an abandonment of all sustainability ambitions. The second case study exposes important limitations of a circular approach: regulatory and legal barriers were found against a rapid and radical circular transformation, but also more fundamental factors such as the rationality of an institutional response to uncertainty by rapid cycles of discarding the old and investing in new equipment and facilities.

Being based on qualitative methods, the case studies do not claim representativity for HEIs worldwide or even in Norway. Many of the factors described are contingent on their specific context. The goal, instead, is to contribute to learning by presenting an in-depth and context-sensitive report on obstacles encountered in two major sustainability initiatives.

Research reporting on sustainability initiatives too often focuses descriptively on the plans or reports the successes while downplaying problems and failures. This study deviates from this widespread practice by analysing reasons for failure informed by a theoretical frame (infrastructural change). Moreover, the juxtaposition of two cases within the same context shows the strengths and weaknesses of different approaches to infrastructural change particularly clearly.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.

Despite the knowledge transfer between projects has received increasing attention from scholars, few scholars still conduct comprehensive research on inter-project knowledge transfer from both horizontal and vertical perspectives. Besides, knowledge transfer is affected by multiple antecedent conditions, and these factors should be combined for analysis. Therefore, this paper aims to explore the key factors influencing knowledge transfer between projects using the fuzzy-set qualitative comparative analysis (fsQCA) method from both horizontal and vertical perspectives and how these factors combine to improve the effectiveness of knowledge transfer (EKT) between projects.

First, nine factors affecting knowledge transfer between projects were identified, which were from the four dimensions of subject, relationship, channel, and context, namely temporary nature (TN), time urgency (TU), transmit willingness (TW), receive willingness (RW), trust (TR), project-project transfer channels (PPC), project-enterprise transfer channels (PEC), organizational atmosphere (OA), and motivation system (MS). Then, the source of the samples was determined and the data from the respondents was collected for analysis. Following the operation steps of the fsQCA method, variable calibration, single condition necessity analysis, and configuration analysis were carried out. After that, the configurations of influencing factors were obtained and the robustness test was conducted.

The results of the fsQCA method show that there are five configurations that can obtain better EKT between projects. Configuration 3 (∼TN * ∼TU * TW * RW * TR * ∼PPC * PEC * MS) has the highest consistency, indicating that it has the highest degree of the explanatory variable subset. Configuration 1 (∼TN * ∼TU * TW * RW * PEC * OA * MS) has the highest coverage, meaning that this configuration can explain most cases. Also, the five configurations were divided into three types: vertical transfer, horizontal-vertical transfer, and channel-free transfer category.

Firstly, this study explores the key factors influencing knowledge transfer between projects from four dimensions, which presents the logical chain of influencing factors more clearly. Then, this study divided the five configurations obtained into three categories according to the transfer direction: vertical, horizontal-vertical, and channel-free transfer, which gives implications to focus on both horizontal knowledge transfer (HKT) and (VKT) when studying knowledge transfer between projects. Lastly, this study helps to realize the exploration of combined improvement strategies for EKT, thereby providing meaningful recommendations for enterprises and project teams to facilitate knowledge transfer between projects.

The main objective of this paper is to critically assess sustainable development in the context of Behramkale, a vernacular village in Türkiye.

Vernacular Heritage Sustainable Architecture analysis framework has been adopted to understand and assess vernacular architecture and sustainable development in Behramkale.

The vernacular design of the old Behramkale settlement has shown more sustainable characteristics as compared to the new development area. Key findings show that trade-offs were made with respect to environmental and sociocultural aspects of sustainable development to achieve economic sustainability.

Future research with more in-depth interviews would be helpful to find out the inhabitants’ response to the conservation practices.

Based on the research conducted, life cycle analysis and sustainable strategies of vernacular settlements can be useful tools to design, develop and improve old settlements, as well as newly established settlements.

Key lessons learned from conservation practices can help to identify well-adapted solutions to respond to the needs of local communities in Türkiye and similar vernacular settlements in the Mediterranean region.

This paper critically assesses sustainable development in the context of vernacular architecture, heritage conservation and rural sustainability. Conservation practices in Türkiye are evaluated deeply as there is limited research in this field within the Mediterranean heritage conversation and sustainable development context.

This study aims to thoroughly examine and understand the relationship between working capital management (WCM) and the sustainable financial performance (FP) in the context of the New Zealand companies listed on stock exchange.

This study has applied various regression techniques to examine WCM and the sustainable FP relationship. The data set period is from 2009 to 2019. The results are robust upon various layers of robustness parameters. The system-generalized method of moments is applied for managing endogeneity issue.

The research reveals compelling evidence of a meaningful connection between WCM and sustainable FP indicators. The study specifically highlights the significant negative associations between the cash conversion cycle, average collection period and average age of inventory with the firm’s sustainable FP. Through robust analyses and various parameter adjustments, the study ensures the credibility and reliability of its conclusions, further reinforcing the impact of WCM on the financial health of New Zealand-listed firms.

This study provides future directions for researchers to explore the dynamic relationship between WCM and a firm sustainable FP because it is still a demanding and challenging area. Future research may care to explore the optimal way to reduce the cash conversion cycle, average collection period and average age of inventory for New Zealand firms. The current study does provide insights to NZ financial managers, which is useful for improving sustainable FP by efficiently managing WCM.

WCM is problematic and constitutes a notable challenge; it requires further research, especially in small economies such as New Zealand. Hence, it is an updated and fresh attempt based on a larger data set to measure the empirical relationship between WCM and the sustainable performance of New Zealand-listed firms. Furthermore, the current study uses dynamic panel data estimation techniques in addition to multiple regression techniques.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

The COVID-19 pandemic has caused irrefutable devastation globally. Yet, academic and trade commentators have claimed that this disruption could have had a silver lining by presenting the fashion industry with the opportunity to reassess and rebuild in a slower, more considered way. Part of this reassessment, some have argued, may have been allowing the industry's pre-COVID sustainability buzz to come to fruition by nudging the fashion industry to go circular. This paper explores if, and how, the COVID-19 pandemic was (not) nudging the industry towards circularity using the case study of circular textiles.

Serial, semi-structured, qualitative interviews were conducted with three buyers and sourcers working for three UK-based fashion retailers. Each participant was involved in three interviews in June 2020 following the UK's first national lockdown.

The research findings suggest that, at the time this research was undertaken, these retailers were focussed on regaining profit, protecting their supply chains and producing “safe” designs whilst cutting back and becoming more risk averse. These actors suggested that, in contrast to the suppositions made by academic and media commentators, the COVID-19 pandemic was acting as a hindrance to circularity, not a helping hand, as retailers were less willing to invest in circular textiles at that time than they were pre-pandemic.

This paper offers valuable insight into the COVID-19 pandemic's impact on circular innovation within fashion retail whilst contributing to broader understandings of the principles of the circular economy within textiles and design.

This study aims to minimize the cost and time of blood delivery in the whole blood supply chain network (BSCN) in disaster conditions. In other words, integrating all strategic, tactical and operational decisions of three levels of blood collection, processing and distribution leads to satisfying the demand at the right time.

This paper proposes an integrated BSCN in disaster conditions to consider four categories of facilities, including temporary blood collection centers, field hospitals, main blood processing centers and medical centers, to optimize demand response time appropriately. The proposed model applies the location of all permanent and emergency facilities in three levels: blood collection, processing and distribution. Other essential decisions, including multipurpose facilities, emergency transportation, inventory and allocation, were also used in the model. The LP metric method is applied to solve the proposed bi-objective mathematical model for the BSCN.

The findings show that this model clarifies its efficiency in the total cost and blood delivery time reduction, which results in a low carbon transmission of the blood supply chain.

The researchers proposed an integrated BSCN in disaster conditions to minimize the cost and time of blood delivery. They considered multipurpose capabilities for facilities (e.g. field hospitals are responsible for the three purposes of blood collection, processing and distribution), and so locating permanent and emergency facilities at three levels of blood collection, processing and distribution, support facilities, emergency transportation and traffic on the route with pollution were used to present a new model.