The study endeavours to identify factors explaining the technical inefficiency of Indian banks using an unbalanced panel dataset of 109 commercial banks for 16 years, from 2005-06 to 2020-21.A two-stage DEA (Data Envelopment Analysis) is used in the present study. In this analysis, firstly, DEAmeasures efficiency and secondly, the Tobit model estimates the significant factors causing Indian banks' inefficiency. According to the DEA estimates of Indian banking Industry, technical inefficiency is primarily caused by scale inefficiency. In addition, the Tobit regression analysis reveals that profitability, financial soundness, bank ownership, market concentration, inflation, and economic growth cause the technical inefficiency negatively and significantly. The present study recommends that the banks under evaluation, regardless of their types of ownership, need to develop a new production technology to reduce the adverse effects of diseconomies of scale. The findings also point to the need for Indian banking regulators and policymakers to enhance the performance of public sector undertaking banks, which account for a larger share of the industry's technical inefficiency.

This paper explores necessities of employability competence within the new normal; associate era expected post COVID-19 pandemic. The analysis conceptualises and integrates approaches that might address a way to prepare people for times of uncertainties, changes and challenges they likely would face throughout the new normal. This study starts a new line for empirical research that would support the competency development planners in the coming decades. This research is based on how competency mapping contributes to the organization and mapping of competency desired level for various quality of employees on basis of their performance and experience which help in competing their job position. Once individuals should ask for new jobs, knowing one's competencies will offer one a competitive go up the work market. Competency mapping helps in mapping succession possibilities for employees within the organization

Purpose of the Study: Blockchain technology in digital marketing is still in its infancy. The study focuses on how blockchain technology operates, how it is used in digital marketing, and how it can have an impact on big data. Methodology/Approach: This is a conceptual paper. To comprehend the idea of blockchain technology in the context of digital marketing, a thorough analysis of the literature is done. Main Results: The current study has found many barriers to effective digital marketing and has also shown how blockchain technology eliminates these barriers.

This study examines the exporter's experience and the challenges of the dark side of the relationship with foreign importers. In addition, this study also investigates the mechanism used in safeguarding the dark side of the exporter-importer relationship. This study is based on qualitative research. Primary data were collected through a series of systematic semi-structured interviews with the sample of Malaysian SMEs exporter in the manufacturing sector. The findings revealed that opportunism, conflict, and uncertainty are the main manifestation of the dark side in exporter-importer relationships. Market environment, host country policy, and government policy are the critical challenges affecting SMEs' relationship with importers. To safeguards the relationship from the negative effect of the dark side, SMEs call for government assistance, utilize governance mechanism, and turn on organizational learning based on prior experience. This study contributes to theoretical development by highlighting the manifestation of the dark side in exporter-importer relationships in the context of SMEs. Internationalizing SMEs need to learn quickly to anticipate and effectively respond to changes in the environments. It is vital for managers to work cooperatively with government agencies to seek information about particular importers and exporting processes in certain countries.

Although the number of working women has increased in India in the last few decades the percentage of female representation at the top/managerial level is still quite low. The objective of gender equality, which further contributes to sustainable development, is violated by discrimination against women in management positions. A systematic analysis of around 65 research papers reveals what factors or antecedents of genderdisparity exist at managerial levels in the corporate sector. Such factors can be social, personal, organizational, cultural etc. Because of these different barriers that affect the women wanting to work, they are not pushed to reach the top. It is also analyzed that this scenario doesn't exist only in the Indian context but such factors play a vital role even abroad. Using TCCM (Theory-ContextCharacteristics-Methods) review framework, this research provides a comprehensive understanding of the dominant theories, contexts (i.e. industries and countries), characteristics (key variables and their relationships), and methods (research methodology and analysis tools &techniques) employed in gender disparity that affects sustainable organizational growth.

Purpose: The objective of the study is to highlight the importance of corporate governance in the global business environment and present the trends of research studies related to corporate governance along with firm performance across the globe. Methodology: The required data was collected from the Scopus database using various keywords typically used in corporate governance and firm performance related studies. The Vos viewer software is used for analysis. The study analyses by taking different dimensions such as documents by year, subject area, co-authorship using authors as well as countries, citation analyses and bibliometric coupling. Findings: The study shows that governance in corporate houses is quite essential for the economic growth of nations in the world's booming economies. A company that employs good corporate governance practices has far higher levels of shareholder confidence. The results depict that the maximum contribution towards corporate governance and firm performance was made in the year 2022, and US is found to be leading country that excels with regard to work on this area, followed by the UK, Australia and India respectively.

Corporate Governance (CG) plays an indispensable role in today's financial environment. In developing countries, it acts as perception creator in addition to fuel for attracting investments from across the world. Better CG has an impact on economies of the countries throughout the globe. In the present study, we identify the impact of corporate governance variables on profitability of private and small finance banks in India. We have used panel data of 25 private and small finance banks in India. The data was taken for the period 20162021.The dissection involves 5 CG variables relating to board independence, women directors, board committees, ownership structure and board meetings. 2 control variables namely firm size and firm age. Return on Asset (ROA) was used as an indicator of bank 's profitability. Based on the diagnostics tests, Ordinary Least Square Regression was applied. The results reflects that board independence with p-value of 0.00 has a positive influence on bank's profitability. Also the F Statistics is at 4.585, which is significant and can sufficiently explain the relationship between corporate governance and Return on Asset. The study can help these banks to improve their profitability by having more independent directors on board with varied experience.

The study of leadership has taken a paradigm shift from vision to execution due to increased competition in the globalized market. It has been analyzed that companies adopting Servant leadership continue to grow out of the various kinds of leadership. This paper analyses the studies on Servant leadership for the past 30 years, from 1991 to 2021. The papers published in SCOPUS indexed journals have been analyzed through bibliometric analysis using VOS viewer and Biblioshiny. This study is about the evolutionary history of Servant leadership from conceptual to scale development to model formation in the past 30 years. Further bibliometric analysis included descriptive analysis, cluster and thematic analysis. The study showed presently servant leadership research is limited to specific sectors like health and education, more research on servant leadership is needed in other fields. Majority of the scholars are working on employee level outcomes of servant leadership. The study showed gap in identification of servant leadership applications at organizational level across industries.

India as a tourist destination is dynamic and more evolving than ever. With government support, and changes in tourism policies and marketing strategies, tourism in India is expected to expand drastically. As the visible effects of the pandemic are fading away, tourism is receiving abundant attention. There is a rise in all types of tourism in India – inbound, outbound, and domestic. The objective of the study is to find out the motivations of inbound tourists visiting India. The study analyses the motivations of inbound travellers in India and offers an international perspective of the country as a preferred destination. To achieve the objectives, a descriptive research design was adopted using the convenience sampling technique. The instrument was designed using a review of the literature and a survey. The sample was 409 in total, collected from 12 different destinations within India. EFAindicated five types of motivations amongst inbound travellers, namely culinary connoisseurs, spiritual gratification, Value-seeking, Heritage aficionado,, and Serenity seeking. The study offers practical implications for destination managers and tourism policy planners in India as they can focus on planning strategies to target these segments of inbound tourists. It will, therefore, provide insights to improvise Incredible India and other campaigns related to the promotion of tourism activities. It has theoretical implications, especially for the existing literature on tourists' motivations. How does the external world look at India?

Sustainable finance is a crucial concept as it considers the long-term impact of investments on the environment and society, as well as the financial returns they generate. The study has objective to identify the determinants of sustainability in financial decision-making, to investigate the conceptual relationship and interlinkages between the variables of sustainable financial decision-making. The study identifies 15 variables by conducting a review of the literature and focus-group interviews of industry experts working with top management in various organizations. TISM framework is used to evaluate relation and interrelationships among selected variables. MICMAC is applied subsequently to categorize the variables into driving and dependence power. The paper concludes that sustainable finance drives sustainable performance. The study is valuable to all organizations willing to follow the rule of sustainability in financial decision-making, to contribute to the society and environment.

The strategic use of data in human resources (HR) management has become essential for organizational performance in today's economic environment. This research explores the field of HR analytics and focuses on how sophisticated the data is in two important industries: banking and telecoms. By combining quantitative surveys and qualitative interviews, a mixed-method research methodology is used in this study to investigate the many applications of HR analytics across industries. Data-driven decision-making in HR operations is crucial, and the research emphasizes this by carefully evaluating the corpus of existing lit e r a tur e and deve loping a compr ehensive methodology.Utilizing primary data gathered from HR managers and professionals in banking and telecom firms, the study evaluates the degree of data sophistication applied to HR analytics tools and methodologies. Comparative study reveals trends, obstacles, and best practices unique to a given industry.

This paper reveals the result of opinon survey analysis regarding the corporate characteristics for pharmaceuticals profitability based on questionnaire survey of 209 respondents. Among the corporate characteristics factors, the most important corporate characteristics factor appeared to be the new products while the least important ones appeared to be in bound logistics, firm infrastructure, HRM, and outbound logistic. Likewise, among the impact factors for pharmaceuticals growth, the most important impact factor was the stiff competition with foreign companies whereas infrastructural investment and management expertise were the least important ones. Logit model shows that among the corporate characteristics factors, new product has the highest odds ratio whereas among the macroeconomic factors, interest rate has the odds ratio while explaining the profitability of pharmaceuticals companies.

Artificial intelligence (AI) and deep learning have emerged as transformative technologies in the manufacturing industry, revolutionizing traditional processes and enhancing operational efficiency. The use, implications, and challenges related to their integration are explored in this study. When evaluating the effects of current developments and the difficulties in implementing artificial intelligence (AI) and deep learning in their business, it is essential to include the viewpoint of workers in industrial facilities. An attempt has been made to summarize these people's views on the combination of deep learning and artificial intelligence. The implementation of AI and deep learning in manufacturing has undoubtedly brought about transformative changes, promising increased efficiency, improved processes, and enhanced productivity. Despite their promising benefits, several challenges hinder the widespread implementation of AI and deep learning in manufacturing.This study is an attempt to explore the application areas, its effectiveness and challenges in implementation of artificial intelligence and deep learning in manufacturing industry.The results of the study demonstrated how deep learning and artificial intelligence are being applied by the manufacturing industry in various areas, such as process design, sector-based control units, platform technology, operation technology, and so on.Workspace planning and production have become more standardized thanks to the use of deep learning and artificial intelligence.

Digital transformation has become a reality for businesses as technology advances and new approaches to transforming existing business models are being developed. Digital transformation covers the transformation of almost every aspect of a company's development: business processes, organisational structure, management model, and decision-making methods. Digital transformation includes the development of a digital strategy, the introduction of advanced technologies, effective data management, and the socialisation of change. As a result, the company's management transforms existing and creates new value propositions and business models. The purpose of the article is to identify the peculiarities of adapting modern business models to the processes of digital transformation in the modern world. While achieving this goal, the author has established that today in Ukraine much attention is paid to digitalisation processes, but they are mainly focused on the development of digital technologies in the public and social spheres, while business must implement information technologies and digital innovations on its own. The author analyses the experience of using digital technologies by the world's leading companies and determines how digital transformation is related to the formation and development of a company's strategy.