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The purpose of this paper is to compare technical efficiency and metatechnology ratios (MTR) in three production systems confronted with different technological and resource endowments in Bangladesh to identify the suitable production systems for increasing productivity.

The primary data collected by authors from 180 dairy farmers were sampled and modeled in a stochastic metafrontier framework due to its ability to estimate and compare the efficiency of firms among various groups with possibly different group-specific technologies and heterogeneous production environments.

The empirical results show that farms from intensive system were closer to their production frontier than extensive and traditional system. Regarding productivity differences among systems, the MTR is by far highest for intensive, indicating the technological advantage of this system over others two systems. The estimation of farm-specific inefficiency model revealed that farmers’ access to extension and credit services are assumed to be significant determinants in reducing inefficiency.

This study concludes that the ability of the farmers to increase productivity vary depending on the production systems due to variation in resource endowments and access to various inputs and support services. Thus, improving productivity depends on effective policy design on harmonizing access to resources and delivery of extension and credit services.

The empirical analysis of data representing different production endowments by stochastic metafrontier make it possible to identify the efficiency level as well as technology gap, thus, ways to identify the possible policy options reducing those gaps and improving productivity.

In this study, the authors explore the effects of politically controlled boards on bank loan performance in both state-owned commercial banks (SCBs) and private sector commercial banks (PCBs) in Bangladesh.

The data consist of 409 bank-year observations from 46 sample SCBs and PCBs of Bangladesh for the period 2008–17. The authors apply ordinary least squares pooled regression with year fixed effect for baseline econometric analyses and generalized method of moments regression for robustness tests after addressing the endogeneity issue.

The regression results reveal that the presence of bank “boards controlled by politically affiliated directors” (PA) have significant positive effects on non-performing loans (NPLs). Similarly, the presence of “boards controlled by politically affiliated directors without substantial ownership interests” (PAWOI) show positive association with NPLs. In contrast, the presence of “boards controlled by politically affiliated directors with substantial ownership interests” (PAOI) exhibit an inverse relationship with NPLs. These findings support ‘agency conflict’ arguments and document that both PA and PAWOI are detrimental to bank loan performance in Bangladesh, while PAOI do not have significant effect on increasing NPLs.

This study contributes to the existing bank governance literature by providing evidence from an emerging economy perspective, where politically affiliated directors (PADs) exploit their positions for personal and/or political gain at the cost of other stakeholders by taking advantage of relaxed regulatory oversights and investor protections.

This study aims to find whether sukuk (Islamic bonds) possess a safe haven property for investors or not.

To analyze this statement, the study used data from MSCI World conventional and MSCI World Islamic indices from August 17, 2012 to June 8, 2022. The study used the generalized autoregressive conditional heteroskedasticity (GARCH) variance technique, the most common technique used in stock data analysis.

The results dictate the absence of sukuk as a safe haven for investors as both the conventional and Islamic markets show decoupling behavior. The study finds concrete evidence of a strong association between the debt-based bond market and the Islamic sukuk market. As these markets mostly like to move in a parallel direction, a recession in a conventional bond market likely means a recession in the Islamic sukuk market.

This study is unique in incorporating the MSCI World Islamic Index and other Islamic indices of several Muslim countries, which was absent in previous research. Second, this study is unique because it adds a separate regression for the COVID era to show whether the movement of indices changed during regression.

This study aims to simultaneously examine the interrelated influence of antecedents involved in developing fast-food restaurant customer loyalty. A conceptual model which incorporates service quality attributes, price fairness, customer satisfaction, brand image and trust and the resultant effect on customer loyalty is proposed to better understand how fast-food restaurant customer loyalty can be optimized.

A quantitative research methodology adopting structural equation modelling was used to understand the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty.

The findings indicate that service quality attributes (food quality and employee service quality) and price fairness significantly influence customer satisfaction and brand image, while physical environment quality has no significant influence. Additionally, customer satisfaction was found to influence brand trust and customer loyalty, while the brand image does not influence customer satisfaction but does influence brand trust and customer loyalty.

Understanding the interrelatedness and influence of antecedents involved in developing fast-food restaurant customer loyalty would enable academics and practitioners to formulate honed marketing and operational strategies to optimize customer loyalty and fast-food restaurant profitability.

This research addresses the paucity of research and marketing gaps regarding the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty in Small Island Developing States (SIDS).

The purpose of this paper is to provide an overview of the antimicrobial and antioxidant properties of postbiotics and the use of postbiotics to increase the shelf life and quality of food.

In this review paper, all articles from five electronic databases containing Google Scholar, Web of Science, PubMed, Scopus and Science Direct were considered and selected according to the purpose of the study.

In addition to improving food safety and increasing its shelf life, natural food preservation using biological preservatives also has a positive effect on improving consumer health. As a result, protection using natural antioxidants and antimicrobial agents seems essential. Postbiotics, having favorable characteristics such as nontoxicity, long shelf life and ease of standardization and transportation, are known as suitable antioxidant and antimicrobial, and there is an interest in making antioxidant and antimicrobial active films containing postbiotics to delay spoilage, increase the shelf life of perishable foods without changing their sensory characteristics.

Postbiotic refers to all soluble factors that are either secreted from living probiotic cells or released after cell lysis. These compounds include enzymes, peptides, polysaccharides, organic acids, teichoic acids and cell surface proteins, and their effects have been proven to improve some human and animal diseases. Probiotic bacteria must survive unfavorable conditions such as processing, storage, distribution, preparation and the digestive system to exert their health-giving effects, whereas their metabolites (postbiotics) have overcome these adverse conditions well and may be a good substitute for probiotics.

Increased fraudulent practices have heightened the need for innovation in anti-fraud programs, necessitating the development of analytics techniques for detecting and preventing fraud. The subject of fraud analytics will continue to expand in the future for public-sector organizations; therefore, this research examined the progress of fraud analytics in public-sector transactions and offers suggestions for its future development.

This study systematically reviewed research on fraud analytics development in public-sector transactions. The review was conducted from June 2021 to June 2023 by identifying research objectives and questions, performing literature quality assessment and extraction, data synthesis and research reporting. The research mainly identified 43 relevant articles that were used as references.

This research examined fraud analytics development related to public-sector financial transactions. The results revealed that fraud analytics expansion has not spread equally, as most programs have been implemented by governments and healthcare organizations in developed countries. This research also exposed that the analytics optimization in fraud prevention is higher than for fraud detection. Such analytics help organizations detect fraud, improve business effectiveness and efficiency, and refine administrative systems and work standards.

This research offers comprehensive insights for researchers and public-sector professionals regarding current fraud analytics development in public-sector financial transactions and future trends.

This study presents the first systematic literature review to investigate the development of fraud analytics in public-sector transactions. The findings can aid scholars' and practitioners' future fraud analytics development.