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This study aims to explore the determinants (bank-specific, industry-specific and macroeconomic) of income diversification across interest income and non-interest income as well as for non-traditional income sources (non-interest income) from 2004–2005 to 2021–2022.

An unbalanced data set comprising 110 Indian commercial banks with 1480 observations is sampled in this study. Because of the bounded nature of the dependent variables (proxies of income diversification), the panel Tobit regression model is used.

The findings reveal that income diversification is positively influenced by bank size, technological advancements, cost–income ratio, return on assets, market competition and inflation in the economy. However, the decision to diversify income sources is adversely impacted by the capital ratio, GDP and financial intermediation ratio. Moreover, factors such as asset quality (loan loss provisions) and liquidity ratio do not directly influence the diversification strategies in the Indian banking industry.

The present study uses an extensive set of variables to provide insights into key factors for bank managers, regulators and policymakers to consider before developing diversification strategies.

To the best of the authors’ knowledge, this is the first study to examine the various bank-specific and macroeconomic determinants that affect income diversification in the Indian banking sector. The current study also investigates new variables such as technological advancements and a market concentration index for measuring competition, which have not been investigated in existing literature concerning bank income diversification in the Indian context.

The purpose of this paper is to test the conceptual model of consumers’ intention and satisfaction towards mobile wallets. This study uses the integrated UTAUT model which includes variables such as ease of use, trust, security, self-efficacy, etc., and an additional variable (hedonism) to test consumers’ behaviour in the context of mobile banking technologies. Regression analysis, ANOVA and descriptive analysis are used to test the relationship among several dimensions such as perceptions, preferences, satisfaction and usage rate of mobile wallets in North India. A sample of 204 North Indian consumers was taken to understand the consumers’ adoption behaviour towards mobile wallet. The study explains the significance of the proposed model and its effectiveness to understand the behaviour of North Indian consumers. The result shows a significant association between consumers’ perception, preference, usage and satisfaction. Security, trust and hedonism are few of the most influencing variables in the study. Demographic variables such as gender and age also influence consumer satisfaction and usage rate of mobile wallets in North India. The proposed model and results of the study bring valuable insights into researchers and practitioners in the context of usage of mobile wallets.

Various standardized scales were used in the present study. Statistical techniques like descriptive statistics, analysis of variance, t-test, χ² and regression analysis were used to assess the data. The data were collected with three separate questionnaires on variables perception, preference, usage and satisfaction.

Findings of this study show a strong relation between customer’s perception, preference and satisfaction of mobile wallet users. The result also shows the impact of customer’s perception, satisfaction and preference on the usage rate of mobile wallets in India. The authors have collected responses from the various regions in south and North India.

The first contribution of this study is that it shows a strong correlation between consumers’ perception, preferences and satisfaction. Various studies are available to understand the impact of perception on satisfaction (Samudra and Phadtare, 2012; Venkatesh and Davis, 2000, Thakur, 2013), but very few studies have integrated it with preference and mobile wallet usage. Moreover, no study is available on these variables specifically for North Indian consumers. This study is unique in the sense that it discuss the association of consumer’s perception with type of transactions they prefer to do in M-wallets. This paper also identify one more crucial factors, “hedonism” which is not discussed extensively in the literature.

The study has several implications to the mobile technology industry and the banking system to identify new strategies for mobile wallet usage. Factors like security, convenience and trust influence consumers’ intention. This indicates that industries and banks must verify users’ privacy norms and evaluate social trends to enhance user’s satisfaction and usage rate. Hedonism is determined as one of the significant variable to measure consumer’s satisfaction and usage tendency. Mobile technology providers should work on the appearances and design of the apps, and promote its convenience and benefits to increase its usage in North India. Based on the findings of this study, companies can also evaluate preferred wallet services for consumers, and factors affecting those services. This will help them to add more attractive services based on consumers’ feedback, and remove unwanted services.

The study also stressed the impact of society and family/friends on mobile wallet’s usage. Customers learn new things from family and society and get influence with their choice and preferences. This will help institutions to understand various factors leads to mobile wallet usage and enhance the satisfaction level of customers.

Although various studies have been conducted on the perception of customers on various mobile payment systems, but this paper is the first of its kind to study customer’s perception about wallets and type of transactions; they prefer to do through mobile wallets. This paper also study the impact of mobile wallet usage and various factors affecting the usage rate. This paper also identified one crucial factor, “hedonism”, which is not discussed thoroughly in the literature, and its significance in North India.

The purpose of this paper is to review how knowledge transfer, including knowledge integration, absorptive capacity and reverse knowledge transfer (RKT) in cross-border acquisitions, is examined in existing research work. The authors also propose directions to advance research in cross-border acquisitions.

A systematic literature review is conducted, and related propositions are advanced based on scientometric and bibliometric analysis of 146 papers published over 10 years about tacit knowledge transfer, innovation activities, industrial policy effect on merger decisions, top management experience and value creation in cross-border acquisition. First, the authors searched major themes with the help of Scopus, and later, the authors analysed all received literature with the help of VOS Viewer.

This review facilitates us to identify six clusters and main author keywords. These six clusters are the underlying six research streams, including RKT, cultural distances, value creation, absorptive capacity, innovation and reference to India and China.

Despite knowledge transfer constituting important antecedents and critical factors for the success of cross-border acquisitions, knowledge management in the acquired company through proper knowledge transfer and knowledge integration is not given enough attention. Current literature still fails to provide a holistic picture of how firms strategically manage knowledge post-acquisition. To the best of the authors’ knowledge, this study is the first to analyse the dynamics of knowledge transfer in cross-border acquisitions. The study is a novel attempt to relate current research themes to emerging areas of cross-border acquisitions.

Our study aims to understand what is known about happiness at work (HAW) in terms of publication, citations, dimensions and characteristics, as well as how knowledge about HAW is generated regarding theoretical frameworks, context and methods. Additionally, it explores future directions for HAW research.

This paper conducts a systematic literature review of 56 empirical articles published between 2000 and 2022 to comprehensively explore HAW. It examines publication trends, citation patterns, dimensions, characteristics, theoretical frameworks, contextual factors and research methodologies employed in HAW studies.

Our findings suggest that while HAW research has gained momentum, there is still a need for exploration, particularly in developing countries. Various theoretical frameworks such as the job demand-resources model, social exchange theory and broaden-and-build theory are identified, with suggestions for the adoption of less popular theories like the positive emotion, engagement, relationships, meaning and accomplishment (PERMA) model and flow theory for future investigations. The review contributes to workplace happiness literature by offering a comprehensive analysis spanning two decades and provides valuable insights for guiding future research toward exploring factors influencing employee well-being.

Our article offers a structured analysis of HAW literature, emphasizing the necessity for more extensive research, especially in developing nations. It provides valuable insights into the theories and dimensions associated with HAW, guiding future research and assisting organizations in formulating strategies to enhance employee happiness and overall well-being.

The paper aims to clarify the validity of the digital marketing model for software IT professionals. It proposes a model of buying behavior practices followed in digital era and outlining all six critical factors that were considered for developing this model. So the main objective of the study is to validate the success of digital marketing model through a survey-based results and case study analysis and synthesize the results for the success of digital marketing model for software development industry.

The paper opted for an exploratory study using the structured questionnaire. The data were collected using online platform. The present study covers the analysis of a survey of 406 IT professionals from software development industry to understand their buying behavior through digital marketing. Regression technique has been used to find the important predictors of the digital marketing model with its impact on the demographic variables.

The paper provides empirical insights about digital marketing model whose validity has been checked by synthesizing the results of both overall and case study. The results show that predictors elucidate Durbin–Watson in the acceptable range and are suitable for the model.

Data were collected during Covid period. So it was quite a challenging task and moreover sample size could not be increased due to this problem.

The paper includes implications for the development of digital marketing model for software IT professionals. Finally, this study will contribute to the further research for many prominent researchers who express their doubts about the state and future of digital marketing studies, characterized by contradictory and confusing empirical findings. A larger quantitative study on IT companies' digital marketing from different regions is recommended as a future line of research in order to encourage the unique globalized level model development.

Many organizations use digital marketing successfully since with the great amount of awareness generated about the digitalization among the customers has propelled for its development.

This paper fulfills an identified need to study how IT professional's digital buying marketing practices need to be studied.