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It is often stated that a trade‐off occurs when a cost increase in one field is over‐compensated by a cost reduction in another field, resulting in an overall improved situation. Economic Trade‐offs (ETOs) are calculations intended to support decision making in respect of business activities. In this respect an ETO is, of course, only an aid and not a goal in itself.

This study aims to examine the relationship between digital financial literacy (DFL) and entrepreneurial performance in Sri Lanka. In order to identify the gap, this study has done a systematic literature review. Accordingly, Technology Acceptance Model (TAM) was used to bridge this gap. A survey of 385 small and medium business enterprises was conducted in Sri Lanka, and a descriptive analysis, correlational analysis, and partial least squares model was used for data analysis for two models. The first model examines the relationship between DFL and performance and the second model examines Access, Mobile literacy, and social media literacy and performance. Findings of this study includes DFL level is average in Sri Lankan SMEs. The measurement model is evaluated in two models and ensures reliability and validity. The results of the structural model of the first model reveal a positive relationship between DFL and entrepreneurial performance. The second model reveals the positive relationship between access and entrepreneurial performance. This research provides guidance on how DFL can improve SMEs performance which is important to achieve success in current businesses which faced a pandemic situation plus distress situation in Sri Lanka. Based on a systematic literature review, there is no empirical evidence about the relationship between DFL and entrepreneurial performance using the TAM model in the Sri Lankan context perhaps in the international context. This identified gap is bridged in this study in the Sri Lankan context.

There has been a great deal of exploratory, conceptual and empirical research on digital financial literacy (DFL) in the fields of finance, economics, business and management. But up until now, there has not been any attempt to provide a thorough scientific mapping of the area. Therefore, by combining various knowledge systems, this study seeks to identify the current research trend.

A sample of 158 papers was subjected to bibliometric analysis in the areas of DFL or digital finance. Assembling, organising and evaluating are the three phases that make up the bibliometric analysis process derived from the most dependable and genuine sources, the Scopus database, and the Web of Science (WoS) database. This study was done using a scientific search technique on the Scopus and WoS databases for the years 2015 through 2022. The study made use of Biblioshiny, a web-based tool created in R-studio and part of the Bibliometrix package. Prominent journals, authors, nations, articles and themes were identified with the use of the software's automated workflow. “Citation, co-citation, and social network analysis” were also carried out.

The study' outcomes indicate that, as an interdisciplinary discipline, the themes of digital finance have changed throughout time. Researchers first concentrated on socioeconomic and demographic variables, but over time the subject expanded to include themes like influencing, promoting, and behavioural factors that affect digital financial literacy (DFL). This research shows the conceptual framework of the area in addition to its intellectual and social structure. This study offers crucial insights into subjects that demand more research.

Since the current study is a bibliometric analysis, the usual restrictions on such studies apply. A meta-analysis, a thorough literature review and other methods would be beneficial for future researchers to develop a solid conceptual framework. This current research work's science mapping is restricted to the Scopus and WoS databases because this research includes more high-quality articles and has organised formats that work with the Bibliometrix application.

Present research provides critical insights into saving behaviour, retirement planning, digital finance and the interdependence of these. This research highlights the most prevalent problems in the field and points in the direction of potential areas for further study. Exposing the social and intellectual structure of the domain educates upcoming scholars about the themes, contexts and opportunities for collaboration in this field.

The study will be useful for future learning as the study gives broad exposure to the current literature in the field of digital finance. On the other hand, people will also grow aware of the effects of digital finance and make the proper choices as a result. Additionally, the report might offer crucial insights for developing policies on digital finance and literacy.

In the past, a significant number of conceptual and empirical studies were conducted internationally in the research fields of economics, finance, business, management and consumer behaviour. This research makes a significant addition by bringing together disparate literature in the field, highlighting reliable sources, authors and documents, and examining the relationship between digital finance, saving behaviour and retirement planning.

The purpose of this paper is to investigate the supply chain leagility proposing all supply chains are leagile with different magnitudes of leanness and agility. A new index, “Deviation from Leagility” (DFL), is introduced, aiming to optimise supply chain design and investigate the relationship between supply chain leagility and firm performance.

The partial least squares (PLS) method was employed to analyse data collected from 299 Australian firms by administering a structured questionnaire.

The results indicate that most companies adopt the leagile supply chain rather than the lean or pure agile design. Furthermore, better business performance is achievable when deviation from a balanced supply chain in which both aspects of leanness and agility are equally embedded is minimised.

The study is limited to a number of constraints that measure leagility; further research is needed to incorporate different aspects of agility.

The findings of this study could provide a guideline for supply chain executives to improve their company’s performance by designing a more balanced leagile supply chain.

This study is unique in its in-depth empirical investigation of modelling of leagile supply chain using a new index, and also addressing: first, the current mismatch between the well-known mutually exclusive strategies (lean/agile); and second, what has later been found when the proposed models were quantitatively tested.

The well‐known maxim “different products, different requirements” is, of course, derived from practical experience. This article seeks to establish whether this maxim also has significance when viewed from the perspective of physical distribution. In particular, it will consider what this significance is with reference to physical distribution strategy, production allocation and stock allocation policy. At the same time it will seek to establish which product characteristics can significantly shape this policy.

The purpose of this paper is to provide a literature review of elasticity-based techniques for the estimation of the degree of operating leverage (DOL) and the degree of financial leverage (DFL) in empirical corporate finance research.

This paper describes the specific details of the estimation of DOL and DFL coefficients under both of the primary estimation techniques and documents the econometric properties of the estimates derived from each techniques.

There are tradeoffs between the two techniques, as each technique has both appealing and limiting features.

This paper indicates how each of the two techniques possesses limitations and suggests that future research should attempt to develop estimation techniques that overcome those limitations.

This paper seeks to use an analytical approach to examine the relation of systematic risk and accounting variables.

The paper theoretically integrates the capital asset pricing model, Cobb‐Douglas function and clean surplus relation to derive the relation.

The analytical results suggest that determinants of systematic risk include earnings, sales growth, book value, dividend, degree of operating leverage (DOL), degree of financial leverage (DFL), market return, and risk‐free return. Three general conclusions are: For a firm with positive prior‐year earnings and current‐year sales growth, if the combined effect of its current book value, dividend and earnings on stock price is positive (negative), then its degree of total leverage has a positive (negative) effect on systematic risk; When the effect of book value and earnings on stock price each is positive and the effect of dividend on stock price is positive (negative), then the dividend has a positive (negative) effect on systematic risk; For a firm with positive (negative) sales growth, its DOL is positively (negatively) related with its DFL for a given level of systematic risk.

The findings have significant implications for the risk management literature and practice.

The fundamental aim of any distribution system must be to provide the necessary levels of customer service, so as to maintain and expand profitable business, at the minimum total cost compatible with such service levels. All other objectives, in any distribution organisation, should directly or indirectly contribute towards achieving this basic aim.

The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students’ engagement (SE) in this evolving digital era, particularly within formal digital learning environments. To address this need, the study is grounded in self-determination theory (SDT) and presents a comprehensive model comprising interconnected elements: digital competence (DC), smartphone use (SPU), perceived autonomy (PA), digital formal learning (DFL) and SE.

The research conducted an investigation within Saudi Arabian universities, collecting a robust data set of 392 cases. This data set underwent rigorous analysis to validate the proposed model. To untangle the intricate relationships within the framework, the study used partial least squares structural equation modelling. Given the distinct dimensions of the two constructs under study, the researcher used a disjoint two-stage approach to establish reflective-formative higher-order constructs (HOC).

The findings revealed that digital literacy and digital skills (DS) constitute the foundational constituents of DC. Simultaneously, the study identified facilitation, distraction and connectedness as integral components of SPU. Importantly, the study established that DC, SPU, PA and DFL significantly influence SE. Furthermore, the research illuminated the mediating roles played by SPU, PA and DFL in the complex relationship between DC and SE.

This study advances the literature by delineating the dynamic interplay between DC, SPU and SE in digital learning. It extends SDT within educational contexts, emphasizing the role of internal motivations and DS. Methodologically, it innovates through reflective-formative HOCs, deepening the analysis of complex educational constructs. Managerially, it guides institutions in enhancing DC and integrating smartphones effectively into learning, advocating for tailored strategies to foster engaging and autonomous digital learning environments, thereby enriching both theoretical understanding and practical application in education.

This paper aims to attempt to perform a test of the operating leverage-financial leverage tradeoff hypothesis that is more methodologically consistent with the logical framing of the hypothesis appearing in the Mandelker and Rhee (1984) paper.

The paper uses a sample of firms from the manufacturing industry to estimate their degree of operating leverage and degree of financial leverage coefficients. The switching regression methodology is then used to perform the empirical test of the tradeoff hypothesis.

The results suggest that firms tradeoff their operating and financial leverage during good economic times, but do not engage in the tradeoff behavior during recessionary times.

This paper refines the empirical testing of the tradeoff hypothesis using the innovative switching regression methodology. The paper also has important implications for the impact of firms’ risk on the capital markets as well as the economy as a whole, and for academic researchers in financial economics examining the relationships between operating and financial leverage and various firm-specific variables.