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Pressure on business to direct their activities responsibly has been increased during the last years to extent their suitability performance in all economic, social and environmental dimensions. This has motivated businesses and researchers to identify ways to implement sustainable and resilient operations. In the era of economic globalisation, small and medium enterprises (SMEs) are recognised as an engine of sustainable economic development in both the developed and developing world. Their competitiveness drives the economy, both nationally and internationally. SMEs have faced challenges in developing, internationalisation and achieving competitive advantage. Purpose of current study is to identify and analyse the sustainability and resiliency (SR) barriers to SME internationalisation and prioritise the practices to overcome the negative influence of barriers. In this regard, first, barriers and innovative practices have been identified through the literature review. Second, the essential barriers will be selected through reduction steps by the intuitionistic fuzzy Delphi (IF-Delphi) method. After computing the weight of barriers through the IF-DEMATEL method, the practices were prioritised using four multiple attribute decision-making (MADM) methods in an IF environment. Finally, the scores were aggregated by correlation coefficient and standard deviation (CCSD) technique. Results present that ‘Lack of economical resources to global exports’ and ‘Complications in acclimatizing export product design’ are the top priority barriers and ‘Knowledge of global market opportunities’ and ‘Networking with business incubator institutions’ have been recognised as the essential SMEs internationalisation practices. This study contributes to creating a more focussed approach towards the growth of SMEs. The study results would be helpful for industry, policymakers and academia.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

Environmental awareness is increasing among people in developing countries. In this regard, companies should consider ecological goals in addition to financial goals. Since the food industry is recognised as one of the largest emitters of CO₂, profit and ecological objectives are optimised in radio-frequency identification (RFID) based closed-loop supply chain in the food industry in this paper.

Based on the literature, companies with a green entrepreneurial orientation (GEO) can turn ecological problems into opportunities using their proactiveness. In this regard, a new mixed-integer non-linear mathematical model is presented for optimising a new multi-product RFID-based closed-loop supply chain with a GEO in the food industry. The case study in this paper is Ofogh-e Kourosh company which is located in Iran. The GAMS software is used to code this model.

The optimum number of new products and materials flow was found among the closed-loop supply chain entities. Some factors as price, quality and warranty of products were considered, and the number of reopening of facilities if needed was set. The optimum node for RFID installation was found.

The paper presents a multi-objective mathematical model for optimising a multi-product RFID-based closed-loop supply chain with a GEO in the food industry. In addition, this paper gives insights into how can model this type of supply chain considering ecological and financial attributes.

Literature survey shows that it is not clear how knowledge management capability (KMC) and ambidexterity capability affect entrepreneurial creativity (EC) and entrepreneurial intensity (EI) promotion. While empirical studies have emphasized the importance of these factors in improving business performance, the cumulative effect and self-reinforcing loops of these factors in improving firm performance have not been identified. In this regard, the study seeks to investigate how to increase the entrepreneurial capabilities of KMC, EI, EC and ambidexterity of food firms to improve their performance.

The method of the present study is applied in terms of purpose and is quantitative in terms of data collection. In order to collect the data, a questionnaire was designed that contained the variables of the conceptual model of the research. This questionnaire was distributed among industrial and academic experts in the Iranian food industry. The method of data collection is an online cross-sectional survey, and the method of data analysis is structural equation modeling using Smart PLS software to analyze the conceptual model.

The present study is cross-sectional survey research that examines the impact of KMC, EC and EI on firm performance by considering the mediating role of organizational ambidexterity. The research study shows a positive impact of entrepreneurial capabilities as KMC, EI, EC and ambidexterity on performance. Accordingly, if a firm builds KMC and fosters EC, it can achieve ambidextrous innovation and thus enhance its EI and performance in the food industry.

This study highlights the knowledge-based view (KBV) in explaining the role of KMC on innovative capabilities and its influence on performance. Research findings shed light on the importance of KMC as a prerequisite for innovation strategy. The study has also established the mediating role of ambidexterity in entrepreneurial value creation. According to the results, small and medium-sized enterprises (SMEs)' performance is positively influenced by entrepreneurial capabilities as KMC, EI, EC and ambidexterity.

This paper gives insights into how SMEs can improve their performance to gain a competitive advantage by developing knowledge and creative ideas in line with entrepreneurial goals. In this regard, the food industry can adopt new strategies to reduce the impact of these challenges to achieve superior performance and competitive advantage.

This paper first analyses the direct effect of quality management practices (QMPs) on organisational ambidexterity (OA). It then analyses the mediating influence of the values of ambidextrous culture (AC). A novel theoretical model is tested in a quantitative study of the organic agri-food sector.

Quantitative methods and an online survey were used to collect and analyse 239 valid questionnaire responses. The data analysis method was partial least squares (PLS).

There is a relationship between QMPs and OA. AC partially mediates this link, strengthening the direct relationship between the two variables.

The proposed model is novel and creates opportunities for new lines of research. The concept of QMPs is considered in all its dimensions (processes, people, customers and suppliers). The study reaffirms the importance of the novel concept of AC in the literature. In this study, OA is defined in terms of the balanced processes of exploitation and exploration. The choice of sector is another original feature of the study.

This study explores the effects of competitive intensity and innovation orientation on export outcomes, including export entrepreneurship (EE) and export performance (EP), and determines the direct and moderating impact of corporate social responsibility (CSR) among exporting agricultural and food (agri-food) small and medium-sized enterprises (SMEs) in Iran.

Using systematic random sampling, 296 firms participating in the international food and agricultural industries exhibition filled out a questionnaire. Smart PLS3 software was used to analyze the data.

The competitive intensity has positive effects on export entrepreneurship of Iranian agri-food SMEs. Additionally, innovation orientation, CSR and EE positively impact EP. However, the moderating impact of CSR on the relationship between innovation orientation and EP was not supported by data.

The current study enriches the existing knowledge in international business in the specific setting of exporting agri-food SMEs operating in a developing economy.

Short food supply chains (SFSCs) have been extensively researched for their environmental and economic implications. However, these are now confronted with shortcomings such as supply chain resilience (SLR) and societal livelihood (SL) hindering growth. The purpose of this study is to revisit and critically analyze existing SFSC literature, with a focus on SLR, SL, sustainability and human-centricity elements, to propose redesigning attributes for SFSCs in the era of Industry 5.0.

The systematic review scope is confined to the SFSC domain with an analysis of contemporary articles published in the British Food Journal (BFJ). The meta-data and research papers are sourced from the Scopus database and the VOSviewer software is used for the analysis. The thematic, diversified geographies and method-wise investigation bring theoretical insights toward building sustainable and resilient SFSCs.

The study findings could serve as a fitting theoretical framework to redesign the SFSCs for resiliency, sustainability and societal aspects of the economy, environment and human livelihood, respectively. The results also discuss the prior accomplishments and elaborate on avenues for future research.

Emphasizing recent trends, challenges, policy design, conceptual framework and future research directions for the SFSC domain, considering SLR and SL, has extended the literature in line with the United Nations' Sustainable Development Goals.

This study offers comprehensive guidelines to the concerned stakeholders for redesigning the SFSCs by linking sustainability, resilience and societal livelihood dimensions.

The study derives comprehensive insights into how redesigning SFSCs has contributed to more sustainable and resilient food systems worldwide over 2 decades. It extends the BFJ’s literature body by establishing the linkages between SLR and SL concerning human-centric SFSC.

This study explores the sustainable supply chain trade-offs in the electronics industry.

The study employs a social media analytics approach and analyses Twitter posts from August 2017 to December 2021. Thematic analysis is applied to discover the pattern in sustainable supply chain trade-offs based on the consumers' perceptions. In addition, a chi-square test was used to measure whether a relationship exists between product groups and sustainable supply chain perceptions.

The results indicate that environmental practices are the most frequent topic among consumers on social media. Further, although basic sustainable supply chain practices are prioritised in the environmental aspect, advanced sustainable supply chain practices take precedence over basic ones in the social dimension. The result from the chi-square independence test reveals that there is no significant relationship between different products and perceptions of consumers except for economically advanced sustainable supply chain practices.

The main implications of the present study are to offer a fast and efficient method to marketers and companies for discovering customer perceptions. In a way, they can identify where the quality of practices needs to improve in their supply chains to gain customer satisfaction. Additionally, the authors suggest industries declare their trade-off preferences between sustainable supply chain practices transparently.

The findings extend the abundance of sustainable supply chain literature by identifying the sustainable supply chain trade-offs among consumer electronics. Also, the reason for customers' dissatisfaction is provided. In the end, six propositions are presented based on the explorations.