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Sectoral brands are umbrella brands created to represent all companies’ products belonging to a country’s economic industry abroad to enhance their export performance. This study aims to explore the development of a sectoral brand model through the optic of the social constructionist perspective. Besides, this study also proposes to apply the model to a sectoral brand case in the business-to-business market.

The authors have developed a systematic qualitative literature review to provide a theoretical basis for the attributes chosen to compose the social constructionist sectoral brand management (SCSBM) model. To apply the model, the authors have conducted a series of 17 in-depth semi-structured interviews with the association’s managers that constitute the sectoral brand development, the director of the branding consultancy firm and specialists on place branding.

The authors present the SCSBM model, highlighting that sectoral branding should be seen as a dynamic and continuous process with the integrated participation of all industry stakeholders. Moreover, the authors have applied the model to the Brazil Fashion System brand.

The main contribution to theory is the link between sectoral brand management and the social constructionist approach, being the first study, to the best of the authors’ knowledge, to propose this connection. SCSBM model extends previous work on sectoral brands by adopting a social constructionist view.

The SCSBM model might contribute to marketing professionals willing to develop sectoral brands across multiple economic sectors and geographies.

The study’s originality lies in developing the first model, which adopts a social constructionist approach to sectoral brands.

The growing demand for halal products has attracted small and large companies looking to secure their market share in the lucrative global halal market. However, it is difficult for resource-constrained firms, such as small and medium enterprises (SMEs), to compete internationally. Therefore, drawing from a resource-based view, this paper aims to examine how intangible resources affect the export performance of Malaysian SMEs exporting halal food and beverages (F&B) products.

This study used a purposive sampling technique, and respondents were reached out by mail. Out of 517 local SMEs exporting halal-certified F&Bs contacted, 193 firms responded, and only 188 responses were eligible to be used for data analysis. The partial least squares structural equation modelling technique was used to conduct the analysis. The data underwent measurement and structural model evaluation to confirm the hypotheses postulated.

Based on the data analysis conducted, it was discovered that intangible resources, namely, international orientation and marketing capability, significantly influence the export performance of Malaysian SMEs exporting halal F&B. However, the influence of cultural intelligence on export performance could not be demonstrated.

This paper fills the gap of the need for more attention to SMEs in developing countries, especially in the halal industry. This research paper also contributes to international business and halal studies by promoting an understanding of intangible resources as strategic resources for SMEs to create competitive advantages and elevate their export performance in the emerging global halal market.

As e-commerce has expanded rapidly, online shopping platforms have become widespread in India and throughout the world. Product return, which has a negative effect on the E-Commerce Industry's economic and ecological sustainability, is one of the E-Commerce Industry's greatest challenges in light of the substantial increase in online transactions. The authors have analyzed the purchasing patterns of the customers to better comprehend their product purchase and return patterns.

The authors utilized digital transformation techniques-based recency, frequency and monetary models to better understand and segment potential customers in order to address personalized strategies to increase sales, and the authors performed seller clustering using k-means and hierarchical clustering to determine why some sellers have the most sales and what products they offer that entice customers to purchase.

The authors discovered, through the application of digital transformation models to customer segmentation, that over 61.15% of consumers are likely to purchase, loyal customers and utilize firm service, whereas approximately 35% of customers have either stopped purchasing or have relatively low spending. To retain these consumer segments, special consideration and an enticing offer are required. As the authors dug deeper into the seller clustering, we discovered that the maximum number of clusters is six, while certain clusters indicate that prompt delivery of the goods plays a crucial role in customer feedback and high sales volume.

This is one of the rare study that develops a seller segmentation strategy by utilizing digital transformation-based methods in order to achieve seller group division.

Lean manufacturing (LM) concepts have been widely adopted in diverse industrial sectors. However, no literature review focusing on case studies describing LM implementation is available. Case studies represent the actual implementation and provide secondary data for further analysis. This study aims to review the same to understand the pathways of LM implementation. In addition, it aims to analyse other related review questions, such as how implementing LM impacts manufacturing capabilities and the maturity level of manufacturing organisations that implemented LM, to name a few.

A literature review of case studies that discuss the implementation of LM during the last decade (from 2010 to 2020) is carried out. These studies were synthesised, and content analyses were performed to reveal critical insights.

The implementation pattern of LM significantly varies across manufacturing organisations. The findings show simultaneous improvement in manufacturing capabilities. Towards the end of the last decade, organisations implemented LM with radio frequency identification, e-kanban, simulation, etc.

Reviewing the case studies documenting LM implementation to comprehend the various nuances is a novel attempt. Furthermore, potential future research directions are identified for advancing the research in the domain of LM.

Industrialisation has contributed to global environmental problems, especially in developed countries, but increasingly so in developing ones as well. The rising public concern for the natural environment is compelling business entities to revise their business models towards green lean (GL) management. Most manufacturing firms have realised that GL implementation is a critical factor that drives their success. Therefore, keeping in view the above said aspects, the purpose of this paper is to empirically assess the complementary impact of GL practices on environmental performance.

Data from a sample of 124 Indian manufacturing industries are analysed using a structural equation modelling technique.

Evidence suggests that GL practices such as top management commitment, government support, human resource management, health and safety of employees and public pressure and legislature have significantly positive effect on environmental performance of manufacturing industries.

The sample is limited to Indian manufacturing industries situated in northern region, with a low response rate.

Successful implementations of GL practices can lead to improved environmental performance. Manufacturing industries within emerging economies like India can improve on their GL practices by incorporating these findings into their business models, while research could be guided to focus their inquiries on this and related genres of scholarly work.

To the best of the authors’ knowledge, this study is one of the first to empirically assess the complementary impact of GL practices on environmental performance within the Indian context.

This study aims to identify and explore the factors affecting social entrepreneurial intentions considering an educational institution in Portugal. It also intends to determine the relevance of moderating factors in the antecedents and entrepreneurial intention of these students.

A panel of 177 undergraduate students enrolled in a social entrepreneurship course between the academic years 2018 and 2021 is considered. The data is explored quantitatively considering descriptive analysis techniques, correlational analysis and hypothesis testing.

The findings reveal that entrepreneurial intention depends on multiple individual, organizational and contextual dimensions. Students' entrepreneurial intention remains unchanged regardless of the student’s profile. However, students' professional experience is a more relevant factor for the identification of organizational dimensions related to curriculum and critical pedagogy, while previous involvement in volunteer activities contributes to a higher prevalence of individual factors.

To the best of the authors’ knowledge, this study is original in exploring the role of entrepreneurial intention and its antecedents considering a heterogeneous students' profile. It offers theoretical and practical contributions by extending the literature on social entrepreneurial intention that can be used by higher education institutions to offer specific training more focused on the student's profile.