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This study presents a two-step numerical iteration method specifically designed to solve absolute value equations. The proposed method is valuable and efficient for solving absolute value equations. Several numerical examples were taken to demonstrate the accuracy and efficiency of the proposed method.

We present a two-step numerical iteration method for solving absolute value equations. Our two-step method consists of a predictor-corrector technique. The new method uses the generalized Newton method as the predictor step. The four-point open Newton-Cotes formula is considered the corrector step. The convergence of the proposed method is discussed in detail. This new method is highly effective for solving large systems due to its simplicity and effectiveness. We consider the beam equation, using the finite difference method to transform it into a system of absolute value equations, and then solve it using the proposed method.

The paper provides empirical insights into how to solve a system of absolute value equations.

This paper fulfills an identified need to study absolute value equations.

Purpose: This study investigates the role of telemedicine in sustaining healthcare systems in Europe, during the COVID-19 pandemic. It focusses on how telemedicine serves as a strategic response to modern healthcare challenges, emphasising its efficiency, accessibility, and patient-centred nature.

Need for the study: The need for this study arises from the escalating demands on healthcare systems, especially during the COVID-19 pandemic. It aims to understand the adoption of telemedicine practices across European Union (EU) countries and their impact on healthcare sustainability.

Methodology: This study employs hierarchical and K-Means clustering to analyse EU citizens’ attitudes towards teleconsultations during COVID-19. Principal component analysis (PCA) is used for data compression and insight extraction. Data is sourced from Eurofound’s 2020 and 2021 surveys, involving extensive participant responses across the EU.

Findings: The study’s findings reveal significant shifts towards digital healthcare solutions, such as an increase in online consultations and prescriptions. It identifies different patterns of telemedicine use across EU countries, influenced by socioeconomic and geographical factors. These findings offer insights into future healthcare policy and strategy development.

Practical implications: The findings provide valuable insights into the shifts in telemedicine adoption in the EU, highlighting the significance of economic and sociological factors in healthcare trends. This study stresses the importance of customising healthcare strategies to suit the unique needs and digital capabilities of different countries.

Understanding the micro-start-up resources and its relationships with entrepreneurial orientation and performance is unique because it operates a business in a poor resource setting. However, poor resource settings of micro-start-up are not adequately examined into the literature in relation to entrepreneurial orientation and performance. Therefore, grounded on resource-based view, this paper aims to attempt to examine the relationships between resource capital, entrepreneurial orientation and performance in a developing country context.

To establish this, the authors conducted a survey among 180 micro-entrepreneurs from Bangladesh and analyzed the data using the partial least squares structural equation modeling (PLS-SEM) approach.

The results demonstrate the mediating role of entrepreneurial orientation on the relationship between human and financial resources and performance, while having partial mediating influence between social resource and performance, therefore indicating the importance of resources for determining business outcomes for micro-entrepreneurs.

These results extend theoretical explanations of micro-entrepreneurship within the poor resource setting context. The findings have implications for identifying micro-firms likely to succeed for the purpose of strategic allocation of resources and supports; they also provide future research avenues.

To the best of the authors’ knowledge, no previous study has established that entrepreneurial orientation plays a critical and mediating role between resource capital and micro-firm performance in a poor resource setting.

This paper aims to discuss the discourse of globalisation and its implications in the case of state-owned jute mills (SOJMs) in the post-colonial state of Bangladesh.

The authors draw upon a critical debate on the concept of globalisation and critical political economy to revisit the country’s historical, political, social and cultural construction to discuss conditions of its conformity within the global order. Additionally, the perspective of subaltern studies underpins discussion of the context of the post-colonial state.

A schematic analysis of the context surfaces issues that underpin the process of “truth production” and that have contributed to global integration of the Bangladesh economy. We consider how this discourse benefits some people, while over time, the majority are dislocated, excluded and deprived. Hence, this discourse denotes a territorial power of globalism that leads us to conceptualise Bangladesh as a neo-colonial state.

Through a case study of SOJMs, this paper contributes to discussion on the essence and implications of the globalisation discourse and on how its methods and techniques reinforce hegemony in the name of development and sustainability in the forms of liberalisation, democratisation and good governance in a state like Bangladesh.

End-of-life electronic products exchange (EEPE) program could be an effective approach to e-waste recycling that requires consumers' participation. Thus, it is highly recommended to study factors stirring consumer behavior with regard to EEPE programs, which is largely under-explored in the existing literature. Hence, grounding on the Theory of Planned Behavior (TPB) and Attitude-Behavior-Context (A-B-C) model, this study attempts to understand the determinants of consumers' EEPE intention by adding contextual and non-cognitive factors to the proposed research model.

Employing a purposive sampling technique, respondents were drawn from university students and general consumers of electronic products in a developing country. Factor analysis, structural equation modeling (SEM) and SPSS PROCESS were used to analyze the collected data.

Empirical results confirm that subjective norm has the strongest positive impact on EEPE intention. Following this, attitude toward EEPE and perceived behavioral control play positive mediating roles in determining EEPE intention. Moreover, government initiatives moderate the unsolicited “attitude–intention gap”.

Drawing on this study's outcomes, the study urges to form comprehensive awareness-building campaigns, rules and regulations regarding proper e-waste management, promote “exchange offer” programs and educational programs to encourage EEPE.

This study makes two fresh contributions to the extant literature. First, by coupling the TPB and A-B-C theory, this study showed that both attitude (i.e. attitude toward EEPE) and context (i.e. government initiatives) are essential in eliciting individual-level post-consumption pro-environmental behavior (PEB) (i.e. EEPE). Second, government initiatives elucidate the attitude–intention gap in the reverse logistics context, especially in developing countries.

Society's concerns about environmental degradation have tightened competitive pressure and brought new challenges to small firms. Against this backdrop, this study develops a decision model to determine a suitable configuration for entrepreneurial orientation to help small firms manage circular economy challenges and improve their performance.

This study used a multi-study and multi-method approach. Study 1, through qualitative in-depth interviews, identified a portfolio of circular economy challenges and entrepreneurial-orientation components. Study 2 applied the quality function deployment technique to determine the most important components of entrepreneurial orientation. Study 3 adopted a fuzzy set qualitative comparative analysis to determine the best configuration for challenges and components.

The findings reveal a set of challenges and identify the salient need to combine the negation of these challenges with the components of entrepreneurial orientation; this combination will improve the performance of small firms. The research extends the current knowledge of managing circular economy challenges and offers decision-makers insights into improving their resilience.

The use of the dynamic capability view, together with the multi-study and multi-method approach, may lead to an appropriate reconfiguration of entrepreneurial orientation, which, to date, has received limited empirical attention in the small-business-management discipline.

Fake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.

Grounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) – a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors’ hypotheses.

The results suggest that social media fake news does not affect firm performance directly. However, the authors’ serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD–SCR relationship.

This work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.

Prior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.

This study aims to provide a thorough knowledge of the context and degree of corporate social responsibility (CSR) reporting in the annual reports of Islamic and mainstream banks in Bangladesh and to investigate whether ownership and the level of CSR reporting are connected.

This study uses the content analysis method to examine 150 annual reports from the 30 listed banking companies as its sample. The data are fitted to an ordinary least square regression model to determine the impact of independent factors on the overall CSR reporting score.

The study’s findings show that, on average, Islamic and conventional banks (ICBs) in Bangladesh disclose CSR data at rates of 46.27% and 43.44%, respectively, ranging from 14.15% to 76.32%. Furthermore, according to the study, ICBs’ public share ownership and CSR reporting showed a significant relationship. Conversely, institutional share ownership and foreign share ownership have been found to have no significant relationship with CSR reporting in conventional banks, but institutional share ownership has been found to have a significant relationship with the CSR reporting in Islamic banks.

The research is expected to obtain the most accurate situation of Bangladeshi ICBs’ CSR reporting. To formulate regulations in this regard, governmental and other regulatory authorities can also obtain comprehensive information on CSR reporting procedures.

The paper contributes to the CSR works, as it presents empirical evidence of the effects of ownership distribution on the CSR reporting of ICBs in developing countries such as Bangladesh.

With the advancement of technology and more attention to environmental issues, building information modeling (BIM) and green building have become two new and growing trends in the construction industry. Therefore, this study proposes a new strategy that integrates BIM and green building rating assessments with an emphasis on Iran Green Building Rating System (IGBRS).

By creating a Revit-IGBRS project template that includes sheets related to all credits, the project compliance with the IGBRS credits and management of submittal documents for certification has been facilitated. Finally, a case study of the materials and resources category of the IGBRS system was performed to validate the BIM-IGBRS application model. All 8 criteria of this category were examined by using Dynamo programming for the Revit sample project.

A practical model for BIM and IGBRS integration is presented, which allows designers to be aware of the IGBRS scores obtained before the project’s construction phase and examine different scenarios for the highest scores. Overall, this study showed that integrating BIM and the Iranian rating system is possible with some constraints, and adding some features to BIM software can promote this integration.

Given that no study has been conducted on the integration of BIM with the Iran Green Building Rating System (IGBRS), the present research investigates utilizing building information modeling to meet the credits requirements of this rating system. The results of this research can be generalized and used in other green rating systems.