Disruptive supply chain technology assessment for sustainability journey: A framework of probabilistic group decision making

The fourth industrial revolution, commonly recognized as Industry 4.0, has been ushered by modern and innovative intelligence and communication technologies. Concerns about disruptive technologies (DTs) are beginning to grow in developing countries, despite the fact that the trade-offs between implementation difficulties and realistic effects are still unknown. Hence, prioritization and promotion of such technologies should be considered when investing in them to ensure sustainability. The study aims to provide new critical insights into what DTs are and how to identify the significant DTs for sustainable supply chain (SSC). Understanding the DTs' potential for achieving holistic sustainability through effective technology adoption and diffusion is critical. To achieve the goal, an integrated approach combining the Bayesian method and the Best Worst Method (BWM) is utilized in this study to evaluate DTs in emerging economies' supply chain (SC). The systematic literature review yielded a total of 10 DTs for SSC, which were then evaluated using the Bayesian-BWM to explore the most critical DTs for a well-known example of the readymade garment (RMG) industry of Bangladesh. The results show that the three most essential DTs for SSC are "Internet of things (IoT)", "Cloud manufacturing", and "Artificial intelligence (AI)". The research insights will facilitate policymakers and practitioners in determining where to concentrate efforts during the technology adoption and diffusion stage in order to improve sustainable production through managing SC operations in an uncertain business environment.

Population agglomeration in Chinese cities: is it benefit or damage for the quality of economic development?

This paper explores the impact of population agglomeration on urban economic development quality in various cities of China. The results show that population agglomeration significantly contributes to the improvement of urban green total factor productivity by increasing population diversification, promoting knowledge spillovers, and reducing pollution emission intensity. Moreover, we find that population agglomeration in type II big cities and type I large cities significantly improves green total factor productivity, while the impact of population agglomeration in metropolises and mega-cities on green total factor productivity is not significant. On the one hand, type II big cities and type I large cities are in the period of rising economic development, the population has not yet reached saturation, and there is still a large demographic dividend space. On the other hand, excessive population agglomeration also brings about "urban diseases" such as population congestion and traffic congestion, especially in the metropolises and mega-cities. Finally, using data on producer services and its sub-sectors, we identify a more significant driving effect of high-end talent agglomeration on green total factor productivity.

Understanding residents' behaviour intention of recycling plastic waste in a densely populated megacity of emerging economy

Plastic waste is choking our planet, but the recycling rate is still universally low. Understanding factors affecting recycling behaviours can help address this pressing issue. Taking Dhaka as an example, this study explores the determinants of the intentions to recycle plastic waste. We employed the Theory of Planned Behaviour (TPB) and extended it with two additional variables: Moral Norms, and Perceived sufficiency of knowledge and policy support. Survey data of 577 were collected and analysed using PLS-SEM. The findings suggest attitude, perceived behavioural control, moral norms and subjective norms significantly impact recycling intention, among which moral norms (β = 0.148, p < 0.05) acts even more strongly than subjective norms (β = 0.12, p < 0.05). Moreover, low level perception of knowledge and policy support makes people perceive less control over recycling behaviour (β = 0.188, p < 0.05), but actually reinforce their recycling intention (β = -0.091, p < 0.1). This study enriches the theoretical discussion of TPB, and contributes to the efforts of encouraging plastic recycling in populated megacity of emerging economy.

Integration of electronic waste management: a review of current global generation, health impact, and technologies for value recovery and its pertinent management technique

The fast evolution of waste electrical and electronic equipment (WEEE) has developed into a prime environmental perturb in recent days. Today, electrical and electronic products merely become a needed part of people life's and professional lives. The whole process of e-waste contains an organized collection system, appropriate dismantling, and its treatment of recycling. The unparalleled hastening of e-waste and unceremonious discarding lead to an adverse impact on a country's development. Currently, challenges in e-waste have a lack of practical aid, poor structure, and insufficient economic support. Several legislations have been imposed which aim to enhance the handling of e-waste. Operative management of e-waste is now essential for the protective atmosphere and human beings as well. This article provides the systemic flow of the e-waste definition, global information, and generation of e-waste and composition of e-waste which were discussed. The study categorized the hazardous effect of e-waste on human beings, and the content analysis of e-waste in recent LCA applications was highlighted. Further different metal extraction and recovery techniques from e-waste have been reviewed. A few sets of current practices and some recommendations on a global scale level were provided. Finally, based on analysis, some approaches to e-waste was accomplished, and equitable environmental management was taken into account to identify the future outlook areas.

Anywhere in the World? The Internationalization of Small Entrepreneurial Ventures using a Social Media Platform

This study aimed at investigating the interplay between internationalization and digitalization using a social media platform during the early phases of the internationalization process of new ventures from an emerging economy. The research adopted the longitudinal multiple-case study method of investigation. All the firms that were studied had operated on a social media platform (Instagram) since their inception. Data collection was based on two rounds of in-depth interviews and secondary data. The research used thematic analysis, cross-case comparison and pattern-matching logic. The study contributes to the extant literature by (a) proposing a conceptualization of the interplay between digitalization and internationalization during the early phases of the internationalization trajectory of small new ventures from an emerging economy using a social media platform; (b) detailing the role of the diaspora during the outward internationalization of these ventures and outlining the theoretical implications of this phenomenon; and (c) providing a micro perspective on how entrepreneurs exploit platform resources and face platform-related risks during their enterprise's early domestic and international phases.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11575-023-00510-8.

Early childhood educators' emotional labor and burnout in an emerging economy: The mediating roles of affective states

The costs and benefits of preschool teachers' emotional labor on the quality of education manifest in how emotional labor relates to well-being. Building on the theoretical foundation of conservation of resources theory (COR), this study explores the influence of emotional labor on burnout and the intervening roles of affective states (i.e., positive and negative affect). Our hypotheses were tested using cross-sectional data from 574 preschool teachers in Ghana. The results suggest that surface acting induces emotional exhaustion whilst diminishing personal accomplishment, but deep acting reduces depersonalization. Further, negative affect mediated surface acting and dimensions of burnout relationships. Also, positive affect mediated surface acting and deep acting, and personal accomplishment links. Theoretical and practical implications as well as directions for further research have been discussed.

Life cycle stage practices and strategies for circular economy: assessment in construction and demolition industry of an emerging economy

The strategic implementation of circular economy (CE) practices in the construction and demolition (C&D) industry is critical for achieving environmental sustainability goals. Understanding CE practices based on reduce, reuse, recycle, recover, remanufacture, and redesign (6R) principles from the perspective of the whole life cycle can promote the implementation of CE practices in the C&D industry. However, studies that shed light on this subject especially in emerging economies are generally lacking. This study contributes to filling this gap by using a three-phase methodology consisting of a literature review and a hybrid best-worst method and grey relational analysis to give insights into practices and strategies to prioritize CE practice implementation. Specifically, the paper focuses on identifying CE practices based on 6R principles, the significance of the identified CE practices, and understanding how to prioritize the implementation of the significant CE practices. The study's findings established that implementing CE practices based on reduce and recover principles at the design stage contributes significantly to environmental sustainability. Additionally, the study highlights the relevance of both bottom-up and top-down approaches in the implementation of CE practices.

Examining the role of soft dimensions on the implementation of ISO 14000 environmental management systems: a graph-theoretic approach

Organizations worldwide are now embracing different standards while approaching environmental management systems (EMS) to be environmentally and economically sustainable. The ISO 14001 EMS has captured much attention by offering efficient environmental practices organization-wide and throughout the supply chain. Human factors (HFs) are crucial behind implementing ISO 14001 EMS since research articles about ISO 14001 strongly emphasize different HFs. This study proposes a framework that solely focuses on those HFs. Influential HFs are extracted through content analysis of related literature and categorized into 5 main HFs. Opinions from experts in the relevant field about interrelationships and inheritances of the HFs are collected and converted into quantitative data. Incorporating the graph theoretic and matrix approach (GTMA), the data delivered permanent values corresponding to the main HFs and their best and worst possible values. Among the main HFs, EMS Training has been found to have the most scopes for improvement, followed by Employee Empowerment and EMS Teamwork. This study demonstrates a framework about how to assess the role of HFs behind internalizing ISO 14001 EMS and enables organizations to go for competitive benchmarking and to define and adjust goals for environmental management.

The impact of COVID-19 on food management in households of an emerging economy

The COVID-19 pandemic has affected how households buy, prepare and consume food, with resultant impacts on food waste generated. These impacts have not yet been properly understood, especially in the context of developing countries. Better understanding of the impacts of COVID-19 on food management behavior of households can aid in the design of policy interventions to reduce the amounts of wasted food during disastrous events. This becomes particularly important in light of the likely pro-longed effect held by the pandemic on household lifestyles in the future. This study has segmented households in Turkey, a rapidly emerging economy, on the basis of the effects imposed by COVID-19 on their food management behavior. A two-step clustering analysis has been conducted on the factor scores of planned shopping and cooking skills. Three segments were identified: careless planners and cooks, resourceful planners and cooks and careless planners and resourceful cooks. The segments were further described using health orientation, price consciousness, environmental concern, food waste disposal routines and self-perception of the amount of food waste variables. The first and the smallest segment, careless planners and cooks, is characterized by low levels of planned shopping and cooking skills, with resultant significant wastage. The largest segment of resourceful planners and cooks demonstrates excellent planned shopping and cooking skills, with resultant small wastage. The segment of careless planners and resourceful cooks showcases excellent cooking skills, but poor skills of planned shopping. The study provides first known evidence to understand how Turkish households differ on the grounds of their food management behavior in the time of the pandemic, thus laying a foundation for future segmentation studies in Turkey and beyond.

Modelling the causes of boiler accidents: implications for economic and social sustainability at the workplace

This study aims to examine the causes of boiler accidents in the context of the ready-made garment (RMG) industry of Bangladesh as an emerging economy. On the basis of a comprehensive review of the existing literature, previous accident reports, and technical discussion with relevant personnel in the industries and regulating authorities, a total of 14 causes of boiler accidents were identified. This study merged neutrosophic (N) theory with the analytic hierarchy process (AHP) for prioritizing the causes of boiler accidents. Finally, to examine the reliability of the results, a robustness analysis was performed. The findings reveal that the lack of standard legislation, non-standard boiler operation, use of expired, non-registered, and non-certified boilers, faulty design of boilers, and the shortage of skilled boiler operators are the top five notable causes of boiler accidents in the RMG industry. The findings provide valuable insights for industrial managers and policymakers to formulate strategies to reduce boiler accidents.

Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model

Motivated by the COVID-19 pandemic and the challenges it poses to supply chain sustainability (SCS), this research aims to investigate the drivers of sustainable supply chain (SSC) to tackle supply chain disruptions in such a pandemic in the context of a particular emerging economy: Bangladesh. To achieve this aim, a methodology is proposed based on the Pareto analysis, fuzzy theory, total interpretive structural modelling (TISM), and Matriced Impacts Cruoses Multiplication Applique a un Classement techniques (MICMAC). The proposed methodology is tested using experienced supply chain practitioners as well as academic experts' inputs from the emerging economy. This study reveals the influential relationships and indispensable links between the drivers using fuzzy TISM to improve the SCS in the context of COVID-19. Findings also reveal that financial support from the government as well as from the supply chain partners is required to tackle the immediate shock on SCS due to COVID-19. Also, policy development considering health protocols and automation is essential for long-term sustainability in supply chains (SCs). Additionally, MICMAC analysis has clustered the associated drivers to capture the insights on the SCS. These findings are expected to aid industrial managers, supply chain partners, and government policymakers to take initiatives on SSC issues in the context of the COVID-19 pandemic.

COVID-19 implications for banks: evidence from an emerging economy

The COVID-19 pandemic is damaging economies across the world, including financial markets and institutions in all possible dimensions. For banks in particular, the pandemic generates multifaceted crises, mostly through increases in default rates. This is likely to be worse in developing economies with poor financial market architecture. This paper utilizes Bangladesh as a case study of an emerging economy and examines the possible impacts of the pandemic on the country's banking sector. Bangladesh's banking sector already has a high level of non-performing loans (NPLs) and the pandemic is likely to worsen the situation. Using a state-designed stress testing model, the paper estimates the impacts of the COVID-19 pandemic on three particular dimensions-firm value, capital adequacy, and interest income-under different NPL shock scenarios. Findings suggest that all banks are likely to see a fall in risk-weighted asset values, capital adequacy ratios, and interest income at the individual bank and sectoral levels. However, estimates show that larger banks are relatively more vulnerable. The decline in all three dimensions will increase disproportionately if NPL shocks become larger. Findings further show that a 10% NPL shock could force capital adequacy of all banks to go below the minimum BASEL-III requirement, while a shock of 13% or more could turn it to zero or negative at the sectoral level. Findings call for immediate and innovative policy measures to prevent a large-scale and contagious banking crisis in Bangladesh. The paper offers lessons for other developing and emerging economies similar to Bangladesh.

Corporate governance practices, barriers and drivers: A survey dataset

The dataset presented in this paper is used to examine the corporate governance (CG) practices and compute the CG index among Pakistan Stock Exchange (PSX) listed firms. Dataset is useful in exploring the different barriers to and drivers of good CG practices. The survey questionnaire was distributed to 350 respondents from 350 PSX listed firms, nevertheless, 120 respondents returned the questionnaire. After reviewing the filled questionnaires, fifteen questionnaires were found to be incomplete. Therefore, the final sample consisted of 105 respondents from 105 PSX listed firms. The survey dataset was analysed by descriptive statistics, correlation analysis, exploratory factor analysis (EFA), and hierarchical multiple linear regression. SPSS 24 was used to analyse the data. For further findings and interpretation, please refer to the research article entitled “Corporate Governance in Extreme Institutional Environment: Evidence From Emerging Economy” [1]. We also suggest referring to another article that was used to develop the survey questionnaire [2].

Insights into public export promotion programs in an emerging economy: the case of Malaysian SMEs

This study evaluates the impact of public export promotion programs (EPPs) among small and medium-sized enterprises (SMEs) in Malaysia. Three indicators, level of awareness, frequency of use, and perception of usefulness, were examined according to a firm's export status. The global evaluation suggests that exporters are more frequent users of EPPs and perceive them to be more useful than non-exporters. Nonetheless, both groups demonstrate higher levels of awareness, are frequent users, and perceive the programs relating to export info/knowledge are more usefulness than programs relating to financial assistance. Further analysis also reveals that the frequency of use and the perception of usefulness for most programs are positively related to export experience, but not to export turnover. This study offers insights into the effectiveness of export programs for encouraging export initiation and expansion in an emerging economy.

Stage one Norwood procedure in an emerging economy:Initial experience in a single center

Objective:

The evolution of surgical skills and advances in pediatric cardiac intensive care has resulted in Norwood procedure being increasingly performed in emerging economies. We reviewed the feasibility and logistics of performing stage one Norwood operation in a limited-resource environment based on a retrospective analysis of patients who underwent this procedure in our institution.

Methods:

Retrospective review of medical records of seven neonates who underwent Norwood procedure at our institute from October 2010 to August 2012.

Results:

The median age at surgery was 9 days (range 5-16 days). All cases were done under deep hypothermic cardiopulmonary bypass and selective antegrade cerebral perfusion. The median cardiopulmonary bypass (CPB) time was 240 min (range 193-439 min) and aortic cross-clamp time was 130 min (range 99-159 min). A modified Blalock-Taussig (BT) shunt was used to provide pulmonary blood flow in all cases. There were two deaths, one in the early postoperative period. The median duration of mechanical ventilation was 117 h (range 71-243 h) and the median intensive care unit (ICU) stay was 12 days (range 5-16 days). Median hospital stay was 30.5 days (range 10-36 days). Blood stream sepsis was reported in four patients. Two patients had preoperative sepsis. One patient required laparotomy for intestinal obstruction.

Conclusions:

Stage one Norwood is feasible in a limited-resource environment if supported by a dedicated postoperative intensive care and protocolized nursing management. Preoperative optimization and prevention of infections are major challenges in addition to preventing early circulatory collapse.