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Proactive firms recognize that environmental and social issues are sources of competitive advantages, but whatever the motivation, organizations face challenges when implementing sustainable practices. For small and medium-sized enterprises (SMEs), sustainable practices have stemmed from multinational corporations (MNC), but SMEs cannot adopt sustainable practices from the knowledge and experiences of large corporations because the two entities differ critically. This study introduces an integrated model of employee adoption of sustainable practices in SMEs. It is based on five behaviors to select practical areas to which SMEs can make internal changes to achieve sustainable practices and the benefits gained from them. The theory of planned behavior is used to extend employee adoption of sustainable practices to SMEs.

The paper aims to investigate the emergence the Hong Kong Building Environmental Assessment Methods (HK BEAM) certification scheme and starts to explore the impact of BEAMs on the building industry and the potential emergence and stabilisation of a green building field.

The research presented draws upon content analysis of all 19 versions of the HK BEAM scheme(s) as well as 94 policy reports. This is complemented by an investigation and collation of the participating companies in 100 HK BEAM certified projects. The theoretical framework of Strategic Action Fields is applied to explore the emergence of a potential green building field.

The findings are tentative, but they point out that a green building field is yet to emerge in Hong Kong.

The research is still ongoing and parts of the analysis are yet to be finalised. Therefore, only tentative conclusions are drawn.

From a practical perspective, the findings point towards a correlation between the memberships in the working committees charged with deciding on the content of the BEAMs and their content.

So far, very little is known about how exactly BEAMs have come into being. Furthermore, their impact on working practices outside of “certified” projects has received little research attention. This research project is an attempt to rectify this.

This study aims to analyse the components of sustainable business models (SBMs) in the dairy industry, in relation to firm-relevant organisational features (size, ownership structure and production process) and through the lenses of the business model framework and the sustainable value exchange matrix (SVEM). This contribution proposes a taxonomy of emerging SBMs and sustainable value creation in the dairy industry.

This research makes use of a multiple case study approach, with cases selected in collaboration with industry experts. The selected firms are highly committed to sustainability transition. Results are drawn from qualitative data obtained from in-depth interviews and secondary sources. The interpretation phases, initially based on open coding, have been enriched by applying the components of business models (BMs) frameworks and the SVEM, and the analyses have been enhanced through an additional interpretative workshop with experts.

The authors related the BMs characteristics of some typical dairy firms transitioning to sustainability, using SBM components and taxonomies emerging in the literature, based on the formalisation of sustainability practices, the scope of operations, and the degree of integration of the three dimensions of sustainable value. These findings led to the discovery of three types of SBM in this dairy industry, referred to as “Milky Ways”.

This paper contributes to the scant literature on sustainability in dairy firms, highlighting the different paths followed by small and medium-sized enterprises (SMEs), cooperatives and large companies in remoulding their business models towards sustainability and thus achieving sustainable value creation.

The purpose of this research is to study the relationship between exchange rate fluctuations and stock market returns of the seven highest economic performing emerging countries (E7).

The study is conducted using the daily data for exchange rates and stock market returns in each of the E7 countries from January 1, 2019, to January 1, 2022. The study employs the ordinary least squares, autoregressive distributed lag error correction regression and generalized autoregressive conditional heteroskedasticity (GARCH (1,1)) regression models to fully investigate the impact of exchange rate on stock markets. For further investigation, the GARCH (1,1) model is run twice for each country with and without the inclusion of exchange rate to determine its effect on the volatility of stock returns.

The findings support the presence of cointegration relationship between the variables for all countries. The results reveal significant positive long-run relationship between exchange rates and stock market returns in all countries except for Indonesia, which evidenced a significant negative impact. The results of the GARCH (1,1) add that the inclusion of exchange rate in the model accounts for a slight change in the volatility of stock returns.

The research provides empirical evidence that appreciating currencies are perceived positively by investors leading to better performing capital markets. The outcomes of this study may assist policy makers in understanding to what degree changes in exchange rates can influence capital markets, as well as narrow the gap in literature regarding which theory is more relevant in explaining how exchange rate fluctuations impact market values.

Sustainable development research assumes that startups, under extreme financial constraints, cannot sacrifice resources now for benefits later without risking their survival. Furthermore, their non-compliance with environmental regulations adds fuel to the fire. This paper aims to explore the challenges faced by startups in resource-scarce economies and the innovative ways of coping with these challenges.

The data for the study was collected through 17 semi-structured interviews taken from startup owners and industry experts based in Pakistan and Bangladesh. The transcribed data were coded through NVivo 12 and themes were generated by merging 47 open and 14 axial codes.

The findings show that a lack of government support and lack of organisational readiness and motivation significantly affect startups’ frugal eco-innovation. Empirical evidence reveals problems related to the business ecosystem, and internal organisational issues also contribute to challenges faced by startups in attaining a competitive position in the industry.

The study’s findings suggested leveraging dynamic capabilities can help lean startups in frugal eco-innovation. Furthermore, organisational cohesion, business ecosystem, government regulations and assistantship, organisational mismanagement and market realisation are decisive in startups’ competitive position in emerging economies.

The findings of the study will result in a higher adoption rate of more competitive business models, and hence, startups’ sustainability. The results would be an effective and efficient deployment of sustainable technological solutions, creating more customer and shareholder value leading to economic growth.

This research offers a comprehensive analysis of frugal eco-innovative startups by exploring the interplay between different challenges and organisational capabilities. Furthermore, the study contributes to the existing body of knowledge by providing empirical evidence that eco-innovation can be conducted in a resource-constrained environment. This study challenged the scholarly and managerial assumption of the availability of finances as a significant player in eco-innovation. The study also links the Darwin theory of startups to a competitive edge over rivals for startups’ survival.