The COVID-19 pandemic has remarkably affected the business processes and performance of micro-, small-, and medium-sized enterprises (MSMEs) across the world. MSMEs have had to adopt and implement numerous strategies to sustain their businesses, and their financial and sustainability performance has been impacted by their choice of e-commerce (EC) platforms and digital marketing (DM) strategies. The objective of this research was to explore the effects of EC and DM platforms and strategies on facilitating MSMEs’ financial and sustainability performance amid the devastating COVID-19 pandemic. This study gathered data from 212 MSMEs from three districts of Bangladesh. A partial least squares structural equation modeling (PLS-SEM) approach was undertaken, to test the hypothesized model. The findings revealed that e-commerce had a significant association with MSMEs’ financial performance and sustainability amid the pandemic. It was also observed that digital marketing strategies had a substantial impact on MSMEs’ financial performance. However, the linkage between DM strategies and MSMEs’ sustainability was found to be insignificant. Furthermore, it was found that the financial performance of MSMEs mediated the relationship between e-commerce adoption and their sustainability performance. These findings contribute to the extant technology adoption literature, by exploring the role of e-commerce and digital marketing on firms’ financial outcomes amid a global pandemic. Managers and policymakers of small businesses can learn several things from this study, and understand how crucial digital commerce and digital marketing are to their success and long-term survival.

This paper aims to examine the factors influencing the willingness of Bangladeshi farmers to adopt and pay for the Internet of Things (IoT) in the agricultural sector by applying the theoretical framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). To this end, the study employed a quantitative research methodology and obtained data from 345 farmers from the northern districts of Bangladesh. Using a cross-sectional survey design and convenience sampling method, a study of premium fruit growers was undertaken to assess IoT use in agriculture, and the primary survey data were analyzed using the Structural Equation Modeling (SEM) approach via AMOS 26. The study confirmed that effort expectancy, performance expectancy, facilitating condition, hedonic motivation, government support, price value, personal innovativeness, and trust influence the willingness of Bangladeshi farmers to adopt the IoT. Additionally, predictors such as trust and willingness to adopt were observed to influence the willingness to pay for the IoT, while the construct ‘performance expectancy’ produced no effect. The study also revealed that the willingness to adopt moderates the association between performance expectancy, price value, and willingness to pay for the IoT. This research has novel implications because it investigates the behavior of rural customers with respect to innovation adoption, which in this case is the IoT in agriculture. It outlines precise reasons for the willing adoption of the IoT in agriculture, which will, in turn, assist marketers of IoT technology in the design of appropriate marketing strategies to increase acceptance in rural areas. Using the proposed model that incorporates farmers’ willingness to pay, this empirical study takes the first step in examining whether farmers in a developing economy such as Bangladesh will adopt and pay for the IoT.

Many countries worldwide have adopted a sustainable development model to strike a balance between economic progress, environmental preservation, and social protection, and one of the most effective solutions for promoting sustainable development has been the circular economy (CE). Given each country’s resource restrictions, businesses must implement green manufacturing practices to establish a circular economy. Therefore, this study intends to assess the role of green logistics (GL) and green human capital (GHC) in promoting a circular economy. Additionally, the mediating role of sustainable production (SP) in the interplays between the constructs was examined. Data for this research was collected from 211 garment manufacturing firms in Bangladesh, using a standardized questionnaire. The partial least square structural equation modeling (PLS-SEM) technique was employed for inferential statistical analysis. The findings revealed that GL and GHC are significant drivers of CE. Additionally, GL and GHC were observed to have a positive linkage with the SP of firms. The findings uncovered that SP positively impacts circular economy implementation. Furthermore, SP was found to significantly mediate the linkages between GL and CE, as well as between GHC and CE. Ours is one of a limited number of research projects that address the role of GL and GHC in implementing CE through SP. Hence, this study added critical insights to the extant theory and practice while reporting several theoretical and managerial implications.

Drawing upon the natural-resource-based view (NRBV), this study assesses the role of environmental strategy (ENS) and environmental awareness (ENA) in enhancing firms’ environmental and financial performance. Additionally, we hypothesize a mediating role of firms’ competitive advantage among these associations. We analyze several hypothesized relationships using survey data from 240 Bangladeshi manufacturing SMEs. The partial least squares structural equation modeling (PLS-SEM) findings suggest that environmental strategy strongly affects organizational competitive advantage and environmental performance. We also observe that environmental awareness substantially affects competitive advantage and environmental and financial performance. Finally, our statistical findings reveal that competitive advantage mediates the linkage between ENS and ENP as well as ENA and ENP. However, ENS was found to have an insignificant effect on firms’ financial performance. These crucial findings extend the NRBV, ENS, and ENA literature. Our research provides managers of manufacturing organizations and policymakers with a valuable model for managing environmental strategy and environmental awareness to enhance environmental and financial performance. It may assist manufacturing SME managers in strengthening their internal resources, such as ENS and ENA, to improve their competitive advantage and organizational outcomes.

Female labor force plays a significant role in the economic development of a country. The core objective of this paper is to examine the nexus between female labor force participation rate and Pakistan’s economic growth using time series data for the period 1990-2014. The data was extracted from World Development Indicators database. Augmented-Dickey Fuller (ADF) test was applied to examine the data for unit root. The results show that both the variables--- female labor force participation rate and economic growth---are stationary at first difference i.e. I(1). The error correction model (ECM) and Johansen co-integration tests were used to examine the co-integration relation between the variables. The econometric results conclude that there is long-run and a U-shaped link between economic growth and women labor force participation rate of Pakistan. The results conclude that lower female labor force participation rate leads to lower economic growth in Pakistan. This paper has important policy implications, suggests that policies intend to remove such barriers could help to enhance the Pakistan’s economic growth.