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Despite differing strategies towards environmental sustainability in developed and developing nations, the manufacturing sector in these regional domains faces substantial environmental issues. The purpose of this study is to examine the green-lean-six sigma (GLSS) enablers and outcomes for enhancing environmental sustainability of manufacturing firms in both, a developed and developing country context by using an environment-centric natural resource-based view (NRBV).

First, a framework of GLSS enablers and outcomes aligned with the NRBV strategic capabilities is proposed through a systematic literature review. Second, this framework is used to empirically investigate the GLSS enablers and outcomes of manufacturing firms through in-depth interviews with lean six sigma and environmental consultants from New Zealand (NZ) and Pakistan (PK) (developed and developing nations).

Analysis from both regional domains highlights the use of GLSS enablers and outcomes under different NRBV capabilities of pollution prevention, product stewardship and sustainable development. A comparison reveals that NZ firms practice GLSS to comply with environmental regulatory requirements, avoid penalties and maintain their clean-green image. Conversely, Pakistani firms execute GLSS to reduce energy use, satisfy international customers and create a green image.

This paper provides new insights on GLSS for environmental sustainability which can assist industrial experts and academia for future strategies and research.

This is one of the early comparative studies that has used the NRBV to investigate GLSS enablers and outcomes in manufacturing firms for enhancing environmental performance comparing developed and developing nations

This case is based on primary and secondary data collection. ABCo’s Founder, Jocelyn Sheppard, sat down with the author for a 75-min recorded interview in July 2022, and she provided follow-up information via email. Interview data was supplemented with secondary data from publicly available sources to fill in portions on the founder, the company’s history and its location; and triangulate the collected interview data (Creswell and Poth, 2018). There are no conflicts of interest that the author needs to disclose related to the founder or company.

The case was piloted at one institution in the Fall 2022, Spring 2023 and Fall 2023 semesters, with 59 undergraduates in an in-person social entrepreneurship course and 165 undergraduates and 33 graduate students in an online asynchronous social entrepreneurship course. All students worked through the case in groups, and as a requirement of their corresponding assignment submission, they provided feedback that was de-identified. In total, 60 groups reported their feedback, which was considered during the subsequent drafts of the case and instructors’ manual IM.

According to the anonymized feedback, the protagonist, product line, desired social impact and experienced challenges of ABCo were all said to be interesting, approachable and relatable for students, and the case piqued the interest of students coming from different majors (e.g. business, environmental issues, human services and criminal justice). Students from rural areas, or those who have family in rural areas, felt the case was particularly interesting; a handful of the students in the asynchronous online class who were unfamiliar with such settings suggested providing students with some additional contextualization of rural environments, either through class discussion with other students who had experience in those environments or additional media or text-based supports. Further adjustments also included removing a reading and a corresponding question and revising elements within the Teaching Approaches section of the IM to support the additions they suggested within the feedback (i.e. spending time to define and walk through the provided model and highlight the differences of rural entrepreneurship and entrepreneurship in the rural as a class before engaging in the related write-ups for that question).

Jocelyn Sheppard, Founder of Appalachian Botanical Company (“ABCo”), had built her company not just on a vision of revitalizing reclaimed coal mine land through planting and producing products with lavender, but also to have a social impact on the rural town of Ashford and its greater region of Boone County in West Virginia, USA. While she understood that hiring workers in need of a second chance would present its challenges, she was shocked by the depth of social need her new employees presented, which contributed to many employees’ disruptive behaviors and turnover. To approach the problem at hand, Sheppard needed to reflect on the resources around her, namely, other entities and organizations who might be able to support her efforts to improve how ABCo delivers on its social mission and, thus, helps to improve the local community and its economy. The case draws upon literature and models within rural entrepreneurship and community development to have students advise Sheppard on what she should do next to improve the social outcomes for ABCo and its employees.

This case is geared for both upper-level undergraduate and graduate courses in entrepreneurship, including in social, environmental and rural entrepreneurship courses and course modules. The case introduces students to a social enterprise struggling to get its footing in a rural context. The case would be suitable for both introductory and advanced courses, especially when placemaking/place-based entrepreneurship or ecosystem building are discussed.

In the context of investment decisions, the intricate interplay between exogenous shocks and their influence on investor confidence significantly shapes their behaviors and, consequently, their outcomes. Investment decisions are influenced by uncertainties, exogenous shocks as well as the sentiments and confidence of investors, factors typically overlooked by decision-makers. This study will meticulously examine these multifaceted influences and discern their intricate hierarchical nuances in the sentiments of industrial entrepreneurs during the COVID-19 pandemic.

Employing the robust framework of the generalized linear latent and mixed models (GLLAMM), this research will thoroughly investigate individual and group idiosyncrasies present in diverse data compilations. Additionally, it will delve deeply into the exogeneity of disturbances across different sectors and regions.

Relevant insights gleaned from this research elucidate the adverse influence of exogenous forces, including pandemics and financial crises, on the confidence of industrial entrepreneurs. Furthermore, a significant discovery emerges in the regional analysis, revealing a notable homogeneity in the propagation patterns of industrial entrepreneurs' perceptions within the sectoral and regional context. This finding suggests a mitigation of regional effects in situations of global exogenous shocks.

Within the realm of academic inquiry, this study offers an innovative perspective in unveiling the intricate interaction between external shocks and their significant impacts on the sentiment of industrial entrepreneurs. Furthermore, the utilization of the robust GLLAMM captures the hierarchical dimension of this relationship, enhancing the precision of analyses. This approach provides a significant impetus for data-informed strategic directions.

Community centers play a socio-economic and urban role of combining different communal necessities, that serve inhabitants, at different neighborhoods in cities. Their role emerged in importance as being a hub for improving and customizing quality of life experiences of the public. This research presents a code-based risk assessment tool for evaluating fire safety measures that can be adapted in the context of community centers. It also provides an exemplary case study to demonstrate its application.

The study identified the factors that render community centers as a high-risk type of facilities in fire events. Various fire codes and standards were reviewed to describe the relevant fire safety measures. A code-based fire risk assessment tool was developed and implemented, through a case study. A set of recommendations were developed to improve the fire safety conditions of the case study facility.

Several violations to fire safety were identified in the case study building. The findings led to identifying a set of recommendations to improve its fire safety conditions.

This research introduced a systematic approach to raise awareness about fire incidences and consequences in community centers, and provides facilities managers with a tool, to assess compliance based on international fire code requirements.

In fire events, community centers are considered as high-risk facilities that may lead to significant losses of human lives and damages to assets. It is significant to study the causes of fire, for ensuring effective prevention and safe operations.

Might the impact of the financial stress on exchange markets be asymmetric and exposed to regime changes? Departing from the existing literature, highlighting that the domestic and foreign financial stress in terms of money market have substantial effects on exchange market, this paper aims to investigate the impacts of the bond yield spreads of three emerging countries (Mexico, Russia, and South Korea) on their exchange market pressure indices using monthly observations for the period 2010:01–2019:12. Additionally, the paper analyses the impact of bond yield spread of the US on the exchange market pressure indices of the three mentioned emerging countries. The authors hypothesized whether the negative and positive changes in the bond yield spreads have varying effects on exchange market pressure indices.

To address the research question, we measure the bond yield spread of the selected countries by using the interest rate spread between 10-year and 3-month treasury bills. At the same time, the exchange market pressure index is proxied by the index introduced by Desai et al. (2017). We base the empirical analysis on nonlinear vector autoregression (VAR) models and an asymmetric quantile-based approach.

The results of the impulse response functions indicate that increases/decreases in the bond yield spreads of Mexico, Russia and South Korea raise/lower their exchange market pressure, and the effects of shocks in the bond yield spreads of the US also lead to depreciation/appreciation pressures in the local currencies of the emerging countries. The quantile connectedness analysis, which allows for the role of regimes, reveals that the weights of the domestic and foreign bond yield spread in explaining variations of exchange market pressure indices are higher when exchange market pressure indices are not in a normal regime, indicating the role of extreme development conditions in the exchange market. The quantile regression model underlines that an increase in the domestic bond yield spread leads to a rise in its exchange market pressure index during all exchange market pressure periods in Mexico, and the relevant effects are valid during periods of high exchange market pressure in Russia. Our results also show that Russia differs from Mexico and South Korea in terms of the factors influencing the demand for domestic currency, and we have demonstrated the role of domestic macroeconomic and financial conditions in surpassing the effects of US financial stress. More specifically, the impacts of the domestic and foreign financial stress vary across regimes and are asymmetric.

This study enriches the literature on factors affecting the exchange market pressure of emerging countries. The results have significant economic implications for policymakers, indicating that the exchange market pressure index may trigger a financial crisis and economic recession.