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This paper aims to explore the application of drumstick (Moringa oleifera) flower (DF) as a functional antioxidative ingredient in goat meat product.

Dried DF was included in the product formulation at 1% (Treatment I) and 2% (Treatment II) levels. The physicochemical, colour, textural and sensory quality as well as storage stability of nuggets with DF were determined against control.

The dried DF was found to be rich source of protein and dietary fibre, possessing good antioxidant potential. Chromatographic analysis of DF extract showed presence of 14 active principles known to have antioxidative properties. Inclusion of dried DF decreased pH values of emulsion (p = 0.005) as well as nuggets (p < 0.001) and increased (p < 0.001) the ash, dietary fibre and phenolic contents. The added DF affected the product’s lightness (p = 0.017), yellowness (p < 0.001, hardness (p < 0.001), adhesiveness (p = 0.032), cohesiveness (p = 0.006), gumminess and chewiness (p < 0.001). Sensory characteristics of control and product with DF were statistically similar except low (p = 0.002) flavour score for Treatment II. DF inclusion lowered (p < 0.001) thiobarbituric acid reactive substances number and total plate count.

DF can be used as a source of antioxidants and dietary fibre in goat meat nuggets to enhance their health value, functionality and storage stability.

Foods including goat meat nuggets enriched with goodness of functional ingredients like dietary fibre and natural antioxidants are gaining consumer’s preference globally. Inclusion of drumstick flower in goat meat nuggets significantly increases the dietary fibre and antioxidants making such products healthier and more stable. Consumption of goat meat nuggets added with drumstick flower is expected to improve consumer’s well-being as well.

This study aims to evaluate the financial performance of the textile industry in Haryana located in the northern part of India.

Input-oriented Cooper, Charnes and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) techniques of data envelopment analysis, as well as the return to scale (RTS) technique, were used to conduct the analysis.

The findings show that textile units in Haryana have hugely underperformed financially with a consolidated technical efficiency score of only 0.35. Both private and public limited textile companies with respective scores of 0.46 and 0.24 are technically efficient. Public limited textile companies are more efficient than private limited companies. Private limited textile companies need to increase their input scale because they are operating at an increasing return to scale while public limited textile companies have to lower their input scale because most companies are operating at a decreasing return to scale to enhance their efficiency.

The study can assist in decision-making to all key stakeholders (Shareholders, management, government, tax authorities, debtors and creditors, among others) by identifying efficient and inefficient companies. Appropriate policies can be framed based on that knowledge.

Oxidative rancidity is a major problem in chicken meat because of its higher content of polyunsaturated fatty acids. Besides this, microbial contamination is also one of the major problems of chicken meat which leads to deterioration in quality during storage. Therefore, the purpose of this paper is to investigate anti-microbial and anti-oxidant effects of various blends of essential oils (EOs) on the quality of emulsion-based (ready-to-eat) chicken sausages.

Sausages were incorporated with optimum level of four different blends of EOs containing six different EOs (Clove oil, Holybasil oil, Thyme oil, Cassia oil, Ajowan oil and Beetel oil), namely, Blend-1 (0.25 per cent), Blend-2 (0.25 per cent), Blend-3 (0.25 per cent) and Blend-4 (0.125 per cent); vacuum packaged and stored at −18±1°C for 60 days. Duplicate samples were taken for each parameter, and three trials were conducted for each experiment, total being six observations (n=6) for consistency of the results.

Significant decrease (p<0.05) in pH of control products was observed at each interval of storage period; however, in case of treatment products, significant decrease (p<0.05) was noticed from day 30 onwards. Blend-2 was observed with significantly lower (p<0.05) thio-barbituric acid reacting substances followed by Blend-1. Significantly lower (p<0.05) total phenolics content was observed in Blend-4 products as compared to other treatments. Regarding DPPH activity, control products showed significant decrease (p<0.05); however, in case of treatment products, DPPH activity showed significant (p<0.05) decrease after day 15 of storage. Microbial count increased with progressive storage period; however, the counts were well below the permissible limit of frozen meat products. All the blend incorporated products received very good sensory scores in consistent manner.

The work under this study would be very useful for the meat processing industries dealing with the perishable meat products. Use of natural anti-oxidants will also restore faith towards the consumers who are becoming more health conscious day by day.

The research work is original.

Usage of updated technology is continuously empowering customer relationship management (CRM) to be convenient and user friendly, where customers are kept engaged with knowledge and information. This enables them on decision-making and managing their portfolio, especially in mutual fund investments. To improve toward a positive decision, certain quality related variables needed to be considered. Thus, this study aims to estimate the mediation effect of relationship quality and outcome (RQO) between CRM and investment decision-making in mutual funds (MFD).

The descriptive study adopted the constructs from existing empirical literatures to conceptualize the model with three higher order constructs with 12 dimensions. Survey method is used, and with a structured questionnaire, a total of 323 mutual fund investors were approached using nonprobability criterion sampling technique, of which 262 relevant responses were considered for estimating the structural model. Smart PLS was used to establish the relationship of the constructs.

The result emphasizes a significant direct and indirect relationship indicating that investors are more inclined to MFD through technology-enabled CRM and RQO plays a vital role in explaining the direct relationship between CRM and MFD. The results of the study are in-line with the existing literature.

The study highlights that financial institutions must focus not only on technological diffusion but also needs to ensure quality service by providing knowledge and information during every access of transactions by customers, making them independent and confident during investments.

This study indicates how capacity efficiency, which is a part of service productivity, can be managed without affecting the outcome efficiency by incorporating technology in the place of human interaction during relationship acquiring and retaining process.

The review examines the existing literature on blockchain-based small and medium enterprise (SME) finance and highlights its trend, themes, opportunities and challenges. Based on these factors, the authors create a framework for the existing literature on blockchain-based SME financing and lay down future research paths.

The review follows a systematic approach. It includes 53 articles encompassing multiple dimensions of blockchain-based SME finance, including peer-to-peer lending platforms, supply chain finance (SCF), decentralized lending protocols and tokenization of assets. The review critically evaluates these approaches' theoretical underpinnings, empirical evidence and practical implementations.

The review demonstrates that blockchain-based SME finance holds significant promise in addressing the credit gap by leveraging blockchain technology's decentralized and transparent nature. Benefits identified include reduced information asymmetry, improved access to financing, enhanced credit assessment processes and increased financial inclusion. However, the literature acknowledges several challenges and limitations, such as regulatory uncertainties, scalability issues, operational complexities and potential security risks.

The article contributes to the growing knowledge of blockchain-based SME finance by synthesizing and evaluating the existing literature. It also provides a framework for the existing literature in the area and future research paths. The study offers insights for researchers, policymakers and practitioners seeking to understand the potential of blockchain technology in filling the SME credit gap and fostering economic development through improved access to finance for SMEs.

This paper aims to study the effect of orange peel and moringa leaves extracts on microbiological safety, sensory quality, lipid oxidation and color properties of chicken sausages under frozen storage.

Chicken sausages were prepared by using orange peel, moringa leaves extracts and butylated hydroxytoluene (BHT). The sausages were stored in a freezer at −18°C. Samples were taken at a regular interval of 20 days from the day of production to spoilage of sausages and analyzed for microbiological safety, sensory quality, lipid oxidation and color properties.

In comparison to the control sausage, sausages having BHT, orange peel and moringa leaves extract had a significantly (p < 0.05) lower bacterial, yeast and mold count. All the sausages were microbiologically safe for consumption till the 100th day, and the results of the 120th day crossed the permissible limits. Sensory acceptability scores of sausages were good (>6) throughout the storage period. The color values of sausages were not affected by the addition of orange peel and moringa leaves extract. The extent of lipid oxidation increased during storage, and sausages with BHT, orange peel and moringa leaves extract had significantly (p < 0.05) lower values of thiobarbituric acid reactive substances and free fatty acids (FFAs) toward the end of the storage period.

The observations of this paper endorse the use of orange peel and moringa leaves extract in meat products formulation for acceptable storage stability under frozen conditions.

Unmanned aerial vehicles are commonly known as UAVs and drones. Nowadays, industries have begun to realise the operational and economic benefits of drone-enabled tasks. The Internet of Things (IoT), Big Data, drones, etc., represent implementable advanced technologies intended to accomplish Industry 4.0. The purpose of this study is to discuss the significant contributions of drones for Industry 4.0.

Nowadays, drones are used for inspections, mapping and surveying in difficult or hazardous locations. For writing this paper, relevant research papers on drone for Industry 4.0 are identified from various research platforms such as Scopus, Google Scholar, ResearchGate and ScienceDirect. Given the enormous extent of the topic, this work analyses many papers, reports and news stories in an attempt to comprehend and clarify Industry 4.0.

Drones are being implemented in manufacturing, entertainment industries (cinematography, etc.) and machinery across the world. Thermal-imaging devices attached to drones can detect variable heat levels emanating from a facility, trigger the sprinkler system and inform emergency authorities. Due partly to their utility and adaptability in industrial areas such as energy, transportation, engineering and more, autonomous drones significantly impact Industry 4.0. This paper discusses drones and their types. Several technological advances and primary extents of drones for Industry 4.0 are diagrammatically elaborated. Further, the authors identified and discussed 19 major applications of drones for Industry 4.0.

This paper’s originality lies in its discussion and exploration of the capabilities of drones for Industry 4.0, especially in manufacturing organisations. In addition to improving efficiency and site productivity, drones can easily undertake routine inspections and check streamlines operations and maintenance procedures. This work contributes to creating a common foundation for comprehending Industry 4.0 outcomes from many disciplinary viewpoints, allowing for more research and development for industrial innovation and technological progress.

The central purpose of this study is to investigate the relative effects of leadership styles, i.e. transactional leadership and transformational leadership, and achievement motivation on the entrepreneurial potential of MBA and engineering students. This study also examines whether the MBA and engineering students differ in terms of their entrepreneurial potential.

This study has used a cross-sectional research design along with a quasi-experimental research method to investigate the study's objectives on a sample consisting of 952 engineering and business students. The study has also used the PLS-SEM approach to carry out the data analysis, and to evaluate the group differences among MBA and engineering students concerning the relationships investigated, i.e. leadership motivation-entrepreneurial potential, and achievement motivation-entrepreneurial potential.

This research has primarily made four findings. First, the study has found that there are statistically significant differences between students pursuing a business education, and those students who are seeking management education about their entrepreneurial potential. Second, this study demonstrates that leadership and achievement motivation are strongly associated with entrepreneurial potential. Third, this research shows that the achievement motivation-entrepreneurial potential is more substantial among engineering students than among business students. However, the leadership-entrepreneurial potential relationship is more influential among MBA students than among engineering students. Lastly, the effect size of leadership is small in comparison with the effect size of achievement motivation, which is substantially healthy.

This research has attempted to address the riddle of a leadership attribution error in the context of entrepreneurship. Accordingly, this study has demonstrated that the idea of leadership attribution error has empirical evidence in the context of entrepreneurship also. Further, this study has tried to address the “behavior-motive preeminence” dichotomy. The results of this research show that internal motivation is more reliable than external leadership behavior in cultivating the entrepreneurial potential of students.

The purpose of this paper is to examine the dividend payout behavior of Indian firms and test whether the three prominent dividend policy theories (signaling, life-cycle and catering) explain the dividend policy of Indian firms.

The authors test the three theories using the methodology based on the studies of Nissim and Ziv (2001), DeAngelo et al. (2006) and Baker and Wurgler (2004). For testing the signaling theory, the authors regress the change in earnings on the rate of change in dividends using the pooled and Fama–Macbeth regressions. The life cycle theory is tested by running a logistic regression of the dividend payment decision on two proxies of life-cycle measured by the ratio of earned to total equity. Finally, the catering theory tests the relationship between the decision to pay a dividend and the dividend premium.

The results based on a sample of Indian firms from 1992 to 2017 show that the dividend policy of Indian firms can be explained using the life-cycle theory. However, there is no evidence in support of the signaling and catering theories.

It provides insights into the dividend policy of Indian firms. Though there have been a few studies examining the dividend payout in India, none of the existing studies tests these theories of dividend payout. The existing research using the Indian data provides indirect evidence about the life-cycle theory. This study is the first one to test the application of these theories for Indian firms.

The development of new communication technology such as 5G is now a solid choice for Industry 4.0. 5G in the fifth generation replaces the presently used mobile telecommunications networks. In every sector of modern life, this technology is designed to resolve the issue of the enormous rise in daily gadgets. 5G allows rapid data transfer and significantly improves the Internet of Things (IoT), which contains billions of devices. The purpose of this paper is to study the potential applications of 5G for Industry 4.0.

Relevant research publications from Scopus, Web of Science and Google Scholar were identified to accomplish the objectives of this paper. 5G for Industry 4.0 enables crucial communications such as wireless management of machines and robotics to unleash Industry 4.0’s full potential, including the considerable proliferation of IoT devices in 5G. This technology enhances quality control, increasing inspections that rely on real-time analysis for rapid and early detection.

In Industry 4.0, 5G technology provides high speed and flexibility connectivity which helps to enhance the entire manufacturing system. This paper briefs about 5G and different network technologies used in 5G. Advancements, associated features and specialties, and significant enablers of 5G for Industry 4.0 are discussed. Finally, the paper identifies and discusses eighteen 5G applications for Industry 4.0. 5 G-enabled robots are used in manufacturing to carry out extensive work to enhance connectivity.

5G is the next-generation communication technology, allowing numerous examples of inventive usage, including Industry 4.0. In line with its long-term vision of digitisation, 5G benefit the whole value chain, including consumers and businesses.