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The present paper attempts to explain the impact of debt diversification and various debt financing sources on firm value. The paper also aims to address the long-run causality of various factors affecting firm value.

The study employs a dynamic panel data model for a sample of 233 listed firms from 2010 to 2019. Two-step generalized method of moments (GMM) is devised to study the impact of firm-specific factors on firm value.

The study establishes a negative impact of debt diversification on firm value. Further, the results also signal how the choice of debt instruments has a heterogeneous effect on firm value. Non-bank debt leads to a discount in firm value, while bank debt has no effect on firm value. The long-run determinants of firm value are debt ratio, tangibility and liquidity.

The findings of the study would aid the mangers in making informed decisions regarding the debt financing structure. Too much reliance on non-bank debt instruments leads to a negative impact on firm value. Therefore careful evaluation is necessary before accessing multiple debt sources.

Debt heterogeneity is globally established; however, its presence in the Indian context has not been validated extensively. The study not only validates the existence of debt diversification but also investigates how individual debt instruments affect firm value that is yet to be examined in the Indian context.

The purpose of this paper is to investigate the increasing demand for corporate liquidity and examines the various factors influencing the cash position of firms in India. The financial policy to hold cash gained impetus after the financial crisis when the companies faced a severe cash crunch. However, the firms operating in emerging nations have an imperfect market mechanism with stringent regulatory norms. Thus, this paper attempts to examine the determinants of corporate cash holdings in an emerging country like India.

The paper focuses on the impact of various factors (leverage, firm size, profitability, growth along with other variables), on the cash structure of all the manufacturing companies listed on the Bombay stock exchange. The study employs panel data methodologies over a sample of 323 firms over a period of eight years from 2010 to 2017.

Significant estimators affecting cash holdings of a firm are the size of a firm, debt levels, tangibility, sales growth and research and development expense. Overall, the study finds evidence on the existence of Pecking Order theory in explaining the determinants of cash holdings in the Indian market.

The study attempts to explore the critical determinants of cash in the Indian context which can be useful for managers and academicians to understand how the key theories of cash holdings operate in an emerging economy like India.

India is an emerging economy and has recently gained global attention and has become a hotspot for foreign investments. Thus, this paper explores pieces of evidence on the critical factors affecting cash holdings in India. The study would provide an understanding of the existing cash policy in the Indian context and attempts to find the changes in the financing structure adopted by the manufacturing industry in the given period.

The purpose of this paper is to develop an efficient numerical scheme for non-linear two-dimensional (2D) parabolic partial differential equations using modified bi-cubic B-spline functions. As a test case, method has been applied successfully to 2D Burgers equations.

The scheme is based on collocation of modified bi-cubic B-Spline functions. The authors used these functions for space variable and for its derivatives. Collocation form of the partial differential equation results into system of first-order ordinary differential equations (ODEs). The obtained system of ODEs has been solved by strong stability preserving Runge-Kutta method. The computational complexity of the method is O(p log(p)), where p denotes total number of mesh points.

Obtained numerical solutions are better than those available in literature. Ease of implementation and very small size of computational work are two major advantages of the present method. Moreover, this method provides approximate solutions not only at the grid points but also at any point in the solution domain.

First time, modified bi-cubic B-spline functions have been applied to non-linear 2D parabolic partial differential equations. Efficiency of the proposed method has been confirmed with numerical experiments. The authors conclude that the method provides convergent approximations and handles the equations very well in different cases.

In a first of its kind, this paper tries to explore the long-run relationship between investors' sentiment and selected industries' returns over the period January 2010 to December 2021.

The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. The autoregressive distributed lag (ARDL) model and other sophisticated econometric techniques such as the unit root test, the cumulative sum (CUSUM) stability test, regression, etc. have been used to achieve the objectives of the study.

The authors find that there is a significant relationship between sentiment sub-indices and industries' returns over the period of study. Market and economic variables, market ratios, advance-decline ratio, high-low index, price-to-book value ratio and liquidity in the economy are some of the significant sub-indices explaining industries' returns.

The study has relevant implications for retail investors, policy-makers and other decision-makers in the Indian stock market. Results are helpful for the investor in improving their decision-making and identifying those sentiment sub-indices and the variables therein that are relevant in explaining the return of a particular industry.

The study contributes to the existing literature by exploring the relationship between sentiment and industries' returns in the Indian stock market and by identifying relevant sentiment sub-indices. Also, the study supports the investors' irrationality, which arises due to a plethora of behavioral biases as enshrined in classical finance.

This paper aims to investigate and compare the impact of foreign and domestic institutional investors on the market value of family and non-family companies. Subsequently, it examines how different degrees of family ownership influence foreign and domestic institutional investors and their value impacts.

The sample of this study includes 339 non-financial firms from NIFTY-500 for 11 years from 2011 to 2020, which contains 128 family and 211 non-family companies. Both static (fixed-effect model) and dynamic (two-step system generalized method of moments) models are employed to test the hypotheses.

Findings suggest that foreign institutional investors outshine domestic institutions regarding value creation. Meanwhile, higher (>50%) family holdings are detrimental to foreign institutional investors, while moderate holdings (26–49%) improve domestic institutional investments. The favorable effect of foreign players gets diluted with the higher (>50%) family holdings, while the adverse impact of domestic players improves with the moderate (26–49%) family holdings. Overall, partial family control is beneficial, while low and absolute family control is detrimental to market value. These findings indicate that institutional investors are family control-dependent, where the family control effect is not static.

This paper offers a novel perspective by addressing the effect of costs and benefits realized at three distinctive levels of family holdings on foreign and domestic institutional investors and their value impacts to witness differences caused by varying family control, which is not done earlier as per the best of our knowledge.

Enzymatic desizing using α-amylase is the conventional and eco-friendly method of removing starch based size. Conventionally, enzymes are drained after completion of process; being catalysts, they retain their activity after reaction and need to be reused. Immobilization allows the recovery of enzymes to use them as realistic biocatalyst. This study aims to recover and reuse of α-amylase for desizing of cotton via immobilization.

This paper investigates the application of α-amylase immobilized on Chitosan and Eudragit S-100 for cotton fabric desizing. A commercial α-amylase was immobilized on reversibly soluble-insoluble polymers to work out with inherent problems of heterogeneous reaction media. The immobilization process was optimized for maximum conjugate activity, and immobilized amylases were applied for grey cotton fabric desizing.

The desizing performance of immobilized amylases was evaluated in terms of starch removal and was compared to free enzyme. The immobilized amylases showed adequate desizing efficiency up to four cycles of use and were recovered easily at the end of each cycle. The amylase immobilized on Eudragit is more efficient for a particular concentration than chitosan.

Immobilization associates with insolubility and increased size of enzymes which lead to poor interactions and limited diffusion especially in textiles where enzymes have to act on macromolecular substrates (heterogeneous media). The selection of support materials plays a significant role in this constraint.

The commercial α-amylase was covalently immobilized on smart polymers for cotton fabric desizing. The target was to achieve immobilized amylase with maximum conjugate activity and limited constraints. The reversibly soluble-insoluble polymers support provide easy recovery with efficient desizing results in heterogeneous reaction media.

This study aims to explore the intricate relationship between financial literacy, digital transformation, Fintech adoption, competitiveness and sustainable firm performance, particularly focusing on how financial literacy empowers firms in the evolving digital landscape. Leveraging technological innovation systems (TIS) and resource-based view (RBV), this research suggests a model that incorporates these concepts, focusing on the moderating role of financial literacy in essential interactions.

This study employed a survey-based methodology, collecting data from employees across five major Pakistani banks. The survey yielded 426 responses, from which 387 valid ones were selected for analysis. The analysis utilized partial least squares-structural equation modeling (PLS-SEM), complemented by the Hayes Process Model for moderated mediation analysis. This approach ensured robust examination of the relationships between the constructs of the proposed model.

The study's findings validate that digital transformation significantly enhances sustainable performance, with Fintech adoption and competitiveness acting as crucial mediators. Financial literacy is highlighted as a key moderator, influencing the effects of digital transformation on Fintech adoption and competitiveness, although its direct impact on sustainable performance is less pronounced. This comprehensive analysis underscores the complex interplay among these factors in driving sustainable performance in the banking sector.

This research enriches the theoretical and practical comprehension of how digital transformation and Fintech integration, underpinned by financial literacy, bolster sustainable business outcomes. It sheds light on the synergy between technology, strategy and organizational success, offering key insights for the banking industry's navigation through the digital era's challenges.

Conflict resolution is crucial to nurturing workplace harmony and creating a positive environment. This study aims to evaluate the relationship between perceived fairness, choice of technology and conflict resolution in the case of full-time employees from various sectors. The scope is limited to examining the influence of perceived fairness (PF) and the impact of technology on interpersonal conflict resolution (ICR), with age and designation being control variables.

A quantitative research design was used, and data was collected through a questionnaire distributed to 450 respondents, with 420 participants’ responses included in the analysis. Structural equation modeling using the SmartPLS software was then applied.

The findings revealed that perceived fairness has a significant positive impact on interpersonal conflict resolution, as did the use of technology. Age significantly influenced the relationship, while designation did not show an important relationship.

The results suggest that organizations should prioritize perceived fairness in their policies and practices to create a conflict-resolving environment. Furthermore, they can leverage technology to enhance conflict resolution processes as the workplaces accept hybrid as a way of work. These findings can also guide practitioners in fostering positive workplace climates by effectively managing conflicts.

This study contributes to the existing literature by examining the relationship between perceived fairness, technology and conflict resolution. It expands understanding of the factors influencing conflict resolution and highlights the importance of fairness and technology. The findings have practical implications for organizations seeking to enhance conflict management strategies.

This study aims to examine the research that examines psychological empowerment (PE) and employee engagement (EE) via bibliometric analysis. The study also aims to offer an overview of the present state of research and indicate potential future research topics.

The literature on PE and engagement was reviewed using bibliometric analysis based on publications in the Scopus database. The analysis comprises a three-field plot, theoretical framework examination, thematic analysis and quantitative analysis of the most frequently referenced publications, affiliations, countries and authors.

The study identifies research trends such as the use of the leadership lens, the examination of the different degrees of empowerment, the examination of alternate mechanisms to improve engagement and the impact of supervisor resources on these constructs. The study also suggests areas for future research, such as the influence of leadership and organizational culture on these two factors, the link between PE and EE and the impact of the changing structure of work via the increased use of technology and new work relations like gig work on these concepts.

This study offers a thorough and systematic overview of the state of the research in the area of PE and EE. This study emphasizes the significance of PE and engagement in management by giving a thorough overview of the present state of research and outlining future research possibilities.