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With the emergence of coronavirus disease 2019 (COVID-19), the usage of e-money has been reinforced to reach the next level. Therefore, this study aims to examine the mediating role of perceived behavioral control (PBC) on the nexus of customers' innovativeness and continuance intention of electronic money (e-money). This study also explores the moderating roles of perceived risk (PR) and electronic security (e-security) in relationships.

The authors employed a structured questionnaire for data collection and the partial least squares structural equation modeling (PLS-SEM) for empirical estimations.

The authors' findings reveal that customers' innovativeness promotes continuance intention of using e-money and demonstrate that PBC partially mediates the relation between customers' innovativeness and continuance intention of using e-money. The empirical findings also reveal that PR negatively moderates the relationship between customers' innovativeness and continuance intention and the relationship between customers' innovativeness and PBC. The empirical findings also exhibit that perceived e-security enhances the degree of the relationship between customers' innovativeness and continuance intention and the relationship between customers' innovativeness and PBC.

The findings shed light on an important factor that increases the likelihood of repeat e-money usage and has direct managerial implications for customer experience and risk concerns. Hence, the findings imply that e-money service providers should run a promotional advertisement highlighting what additional features are included or offered and how these could be beneficial for the customers. Furthermore, e-money service providers should provide some tutorial videos in order to increase innovative customers' control over e-money services as well as highlight how risk and security are protected.

This paper integrates three key theories: the diffusion of innovation (DOI) theory, the theory of planned behavior (TPB) and the PR theory in post-adoption behavior of e-money usage. The current study also attempts to fill a literature gap by examining the moderating role of PR and e-security, which could be useful within the relationship between customers' innovativeness, PBC and customers' continued intentions of e-money usage.

Despite city authorities in Bangladesh being concerned about urban sustainability, they often face difficulties in addressing predominant urban challenges threatening urban sustainability, due to limited relevant literature. To reduce this gap, this study aims to address the predominant urban challenges and assess their severity levels in four city corporations of Bangladesh, e.g. Rajshahi, Sylhet, Barishal, and Gazipur.

Using a mixed-method approach, this study rigorously analyzed field-level data obtained from 1,200 residents across selected cities using diverse statistical techniques. The quantitative analysis included descriptive analysis, exploratory factor analysis, and chi-square tests, whereas qualitative insights were derived through thematic analysis.

The study uncovered nine predominant urban challenges under two crucial factors “Feeble Urban Management” and “Illicit Activities” that collectively explain 62.20% variance. “Feeble Urban Management” explains 44.17% variance, whereas “Illicit Activities” accounts for 18.13%. Within these challenges, uncontrolled urban sprawl, inadequate disaster management, congested roads, and shabby drainage and waste management pose significant threats to urban sustainability. Illicit activities, manifested by encroachment on water sources, grabbing roadside, destruction of natural properties, and activities undermining social security, compound the urban sustainability issue. Severity analysis reveals Sylhet (54.5%), Rajshahi (46.4%), and Barishal (31.2%) as highly impacted, whereas Gazipur exhibits moderate severity (66.7%).

The findings of this study reveal intrinsic insights into urban challenges in Bangladesh that will provide valuable guidance to city authorities, equipping them to implement integrated and effective initiatives and programs that overcome these predominant urban challenges, with a specific focus on Rajshahi, Sylhet, and Barishal city corporations.

This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal.

The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making.

This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption.

This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector.

This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.

The research objective was twofold: first, to propose a novel framework for composing an organization’s aggregate risk appetite, and second, to demonstrate the application of this framework in a suitable organization.

A conceptual framework for defining an organization’s aggregate risk appetite was developed based on relevant organizational theory and research through the lens of knowledge management. The organizational appetite for risk framework was subsequently implemented at the São Paulo State Technological Research Institute (IPT) using the design science research approach. Finally, the implementation was carefully examined in order to encourage future applications and to further refine the appetite for risk framework.

The composition and application of the proposed appetite for risk framework optimally identified the aggregated risk appetite of the complete test organization. Moreover, organizational differences between bottom-up tolerance and top-down appetite were revealed.

Our main practical contribution is a comprehensive procedure to conduct a risk assessment and achieve an organization-wide aggregate risk appetite through the lens of knowledge management.

Unlike past theory and research that take a strictly top-down approach to risk appetite, our framework integrates dispersed knowledge on risk-taking at various levels of the organization, thereby contributing to the underexplored role of bottom management in shaping aggregate risk appetite.

This study examined the factors influencing oil palm farmers’ decisions to engage in contract farming as well as their extent of participation.

The study used cross-sectional data collected from 210 oil palm producers in the western region of Ghana. Descriptive statistics and Cragg’s double hurdle model were the methods of analysis.

The results showed that household size, membership of farmer association, farm size, market knowledge and loan availability significantly positively influence farmers’ decisions to engage in contract farming. Also, while membership in farmer associations and market knowledge exerted significant positive influences on the extent to which farmers participated in contract farming, extension contacts and distance to the farm exerted significant negative influences on the extent of farmers’ participation.

The government, in collaboration with other interested parties, should educate and encourage farmers on the benefits of participating in contract farming arrangements with reputable and well-known institutions that have taken steps to make their services available to farmers.

The study recommends that the government and other contracting firms, like the Golden Star Oil Palm Plantation, should make farm credit a key aspect of their packages, as this will be more attractive to the smallholders.

The study adds to existing literature by providing contracting companies with helpful information on factors influencing oil palm farmers’ decisions to engage in contract farming.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2024-0284

Exploiting a sample of 80 conventional banks (CBs) and 35 Islamic banks (IBs), this study aims to distinguish the IBs’ performance from their conventional peers in 7 Middel East and North Africa (MENA) economies over the period 2005–2014 covering the 2008 GFC.

To avoid misleading results, this research used panel-corrected data from outliers effects by quantile method. Then, following the use of the two-sided Student’s t-test and the discriminant function analysis (DFA), we adopt nonlinear panel models (Random Logit and Pooled Probit) to further distinguish between banks. Then, we focus on the stability side through dynamic Generalized method of moment (GMM) linear models and interaction variables to capture the 2008 global financial crisis (GFC) impact on IB performance.

Univariate tests show that IBs are, on average, less profitable, more liquid and capitalized, less stable, have higher credit risk and are more solvent than CBs. In addition, the difference between the two types of banks was significant pre- and post-GFC; IBs are more profitable pre-GFC and more solvent post-GFC. In accordance with the univariate t-test results, the nonlinear pooled probit model (random logit) confirms that banks, which have more liquidity, are better capitalized, more solvent and less stable (less stable) are more likely to be IBs. From the DFA, stability was the first financial ratio important to discriminate between the two types of banks. In line with the DFA results, from the dynamic models, once the interaction variables are integrated, the GMM estimation result suggests that stronger macroeconomic stability and higher profitability, capital adequacy ratio (CAP) and liquidity are linked to increased IBs stability in the 7 MENA economies post-2008 GFC.

The present study contributes to the ongoing debate by conducting a formal empirical analysis, taking account of a range of considerations (outliers correction, interaction variables and 2008 GFC impacts) that to the best of our knowledge have not been considered by prior studies for the MENA zone.

Machine learning (ML) technologies are increasingly being applied in building cost estimation as an advanced method to overcome the challenge of insufficient data and subjective effects of experts. To address the gap of lacking a review of ML applications in building cost estimation, this research aimed to conduct a systematic literature review to provide a robust reference and suggest development pathways for creating novel ML-based building cost prediction models, ultimately enhancing construction project management capabilities.

A systematic literature review according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) was adopted using quantitative bibliographic analysis and qualitative narrative synthesis based on the 70 screened publications from Web of Science (WOS) and Scopus databases. The VOSviewer software was used to prepare the thematic focus from the bibliographic data garnered.

Based on the results of a bibliographic analysis, current research hotspots and future trends in the application of ML to building cost estimation have been identified. Additionally, the mechanisms behind existing ML models and other key points were analyzed using narrative synthesis. Importantly, the weaknesses of current applications were highlighted and recommendations for future development were made. These recommendations included defining the availability of building attributes, increasing the application of emerging ML algorithms and models to various aspects of building cost estimation and addressing the lack of public databases.

The findings are instrumental in aiding project management professionals in grasping current trends in ML for cost estimation and in promoting its adoption in real-world industries. The insights and recommendations can be utilized by researchers to refine ML-based cost estimation models, thereby enhancing construction project management. Additionally, policymakers can leverage the findings to advocate for industry standards, which will elevate technical proficiency and ensure consistency.

Compared to previous research, the findings revealed research hotspots and future trends in the application of ML cost estimation models in only building projects. Additionally, the analysis of the establishment mechanisms of existing ML models and other key points, along with the developed recommendations, were more beneficial for developing improved ML-based cost estimation models, thereby enhancing project management capabilities.

The study aims to identify, summarize and synthesize the theories used in corporate financial reporting (CFR) and propose a conceptual framework based on those theories.

The study applied the systematic literature review approach to achieve the study objectives. So, the researchers systematically collected the relevant documents from the Scopus database with the help of an advanced search string containing keywords to the CFR theories. Preferred reporting items for systematic reviews and meta-analyses technique was used for the relevant document selection process. Finally, 67 documents were extracted and analyzed spanning from the year of 2017 to 2023.

The major findings of this study indicate a predominance of legitimacy, agency and stakeholder theories in CFR studies. Whereas, this study reveals that neo-institutional, signaling, resource dependency, political economics and impression management theories have been less focused on by scholars in the CFR studies. Those theories need to be reemphasized in this field in future research.

The study’s contributions are significant for academics, policymakers and different parties, as it enhance the understanding of CFR theoretical frameworks and suggest directions for future research to broaden the theoretical landscape. The study maps the motivations of applying a certain theory which will help the researchers to select a specific theory for the underlying context of CFR.

Fish farmers in Africa often operate on small-scale culture units, primarily due to poor access to funding and low technology adoption. Digital innovation platforms seek to enhance farmers’ access to finance, production and farmers’ income. However, there is a lack of empirical evidence to support these claims. Therefore, this study investigated the factors influencing fish farmers’ access to microcredit from digital innovation platforms and the impact of this microcredit on fish farms’ yield and income in Nigeria.

A mixed-methods approach was adopted, and data were gathered from 387 fish farmers through a well-structured questionnaire and focus group discussion. The data were analyzed using probit regression and instrumental variable two-stage least squares regression.

The results revealed that ownership of smartphones, awareness of digital agricultural innovation platforms, farmers’ education, income, fish farming as a primary occupation, cooperative society and extension contacts positively influenced farmers’ access to microcredit from digital innovation platforms. The age of farmers and household size negatively influenced their access to digital microcredit. Digital microcredit positively and significantly impacted fish farms’ yield and farmers’ income.

Digital microcredit significantly increased fish farm yield and income. Therefore, digital innovation platforms should be encouraged and promoted through the creation of awareness about their ability to solve inadequate financing in agriculture by agricultural extension agents.

This study contributes to our understanding of the influencing factors for farmers accessing digital microcredit and how digital microcredit enhances farm yield and income.

Over recent years, the multi-stakeholder role in sustainable ecotourism within Asia has emerged as a crucial narrative for sustainable ecotourism management across countries on the continent. This trend is perhaps due to the fact that ecotourism is one of the most rapidly growing sectors within the tourism industry. However, to date, no reviews have provided a comprehensive analysis related to the role of multi-stakeholders in the achievement of ecotourism sustainability, particularly in the Asian context. This study aims to fill this knowledge gap by examining the current knowledge regarding multi-stakeholder involvement in sustainable ecotourism within Asia.

A systematic review procedure was followed. 320 articles were finalized, from which 34 related pieces of research were selected from the Scopus and Web of Science databases.

Three themes emerged from this paper. Recommendations were highlighted to enhance sustainable ecotourism. The study concluded that a more enabling research environment should be provided to improve discourse and encourage policy interventions.

No previous studies have explored the multi-stakeholder's role in achieving Asian sustainable ecotourism, indicating a critical gap to be fulfilled. This paper uniquely contributes to the field by providing a comprehensive review of the roles and challenges of multiple stakeholders in sustainable ecotourism across Asia and proposing innovative policy solutions tailored to the region's unique socio-economic and cultural context. Moreover, it puts forward potential solutions to bolster sustainable ecotourism within Asia, benefiting both stakeholders and the destination.