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The aim of this case study is to explore and understand the talent management innovations, practices and processes in a major telecoms company in India, Bharti Airtel.

The paper is based on a study of the organization's talent management practices and a survey of executives, including in‐depth interviews with two key talent management executives, and a study of employees' perceptions of the organization's talent management and its impact.

The research revealed the organization's vision and methods for integrating talent management processes. Talent management is an important element of the development process for employees and is an organization‐wide practice. The process of effective management of the talent pool has led to enhanced employee engagement and reduced attrition and proportionately increased the average tenure of employees. The talent management strategy and processes have contributed in varying degrees to development and growth of employees.

This research is an elementary study posing the need for further research into the organization‐wide practice of managing talent.

The research addresses how talent management is perceived in a successful organization and examines the recognition and growing acceptance of talent management practices. Talent management is widely adopted by multinationals operating in India, however, most Indian organizations are either currently or soon to adopt the practice. They are dealing with issues such as whether talent management is an offshoot of HR processes or an independent developmental process, and how it will create a competitive advantage and enhance employee engagement. This case study shows how the adoption of talent management processes on an organization‐wide scale – not confined to the HR function – has helped the organization improve retention and development.

The ideology of this article is to study the performance concerns of SDN Controllers, with the help of developed SRGM and thereby obtain its optimal testing duration. The effect of undetected uncertainty in the parameter values have also been catered in the proposal.

These uncertainties in the parameter values are studied as the risk of not meeting desired set of requirements, whose removal causes additional cost. Considering these two constructs as attributes of MAUT, the controller's optimal testing duration is obtained.

The article focuses towards obtaining the optimal duration for which the SDN Controllers must be tested. It was observed that the inculcation of risk-attribute has provided the higher utility value as compared to any other existing scenarios.

Plenty of SRGM have been proposed in the literature which talks about the testing stop time determination problems. But, none of them have considered the impact of risk of not meeting the requirements (reliability) along with cost to obtain its testing stop time. Further, validation of the proposed model in presented with the help of two releases versions of SDN controller platform, ONOS, entitled as “Kingfisher” and “Loon” and has acquired promising results.

The relationship between the various existing smell taxonomies and the smell impacting factors has been established. The ideology is to identify the most critical smell influencing factors in the vicinity of various software development environments.

To fulfill the said task, the utilization of the amalgamation of two multicriteria decision-making techniques, namely, Entropy method and CODAS method, is presented.

Through this article, the most critical smell impacting criteria with respect to the smell taxonomies is identified. Furthermore, the behaviour of 4 software development principles was then analysed, and their working state has been successfully assessed.

The ideology to study design-related smells in the software system has been studied by a lot of researchers. Some of them have worked upon their detection and the corresponding refactoration process with the help of several algorithms like machine learning and artificial intelligence. But how and to what extent these design-related smells impact the software development environment has remained out of the limelight till now. Through this article, this research gap has been identified, and an attempt to fill it has been made.

This study aims to investigate the influence of consumer value on women’s attitudes towards their intention to adopt menstrual cups. Drawing on consumer value theory, the research seeks to provide an empirical investigation of value-attitude-behaviour, an extant exploration of value concept in behaviour.

Data for this study was collected through survey questionnaires administered to 304 Indian women and analysed using partial least squares structural equation modelling.

The study’s finding indicate that emotional values (EVs) significantly predict women’s attitudes towards their intention to use menstrual cups. In addition, the desire for knowledge, price and quality considerations and awareness of the environmental impact were also found to influence women’s attitudes towards their behavioural intention to adopt menstrual cups.

This study contributes valuable empirical evidence supporting the importance of consumer values in shaping attitudes and behavioural intentions towards menstrual cups in a social marketing context. By understanding the role of EVs, social marketers can design more effective campaigns to encourage the adoption of menstrual cups. Promoting the sustainable aspects of menstrual cups, such as reduced environmental wastage, can further facilitate behaviour change among women.

This study demonstrates the value-attitude-behaviour framework, which has been a subject of very little research in the context of menstrual cup adoption in a developing country.

The purpose of this paper is to investigate how the rising domestic food price inflation in India is influenced by global macroeconomic factors like crude oil, exchange rate, foreign aid, global food prices and trade openness from January 1993 to December 2022.

The study has employed the structural break, autoregressive distributed lag cointegration tests to assess the stationarity and long-term relationship between the variables and the Toda–Yamamoto Granger causality test to demonstrate the causal relationship between the variables.

The study highlights the long-term relationships among variables, shedding light on the influence of global macroeconomic factors on domestic food price inflation in India. It reveals that food price inflation in India is positively influenced by crude oil prices and global food prices while being negatively affected by currency rates, foreign direct investment and trade openness.

Based on the findings, the study suggests that initiatives to reduce demand for crude oil and imported food products could help mitigate domestic food price inflation in India. Addressing the depreciation of the exchange rate is crucial to combat significant inflation in domestic food prices, calling for specific government interventions. Furthermore, promoting trade liberalization and foreign direct investment in the agricultural sector could help alleviate domestic food price inflation, emphasizing the importance of reducing customary trade barriers to encourage investment and trade openness.

Drawing on a framework of sustainable career theory, this paper aims to understand the interplay of agentic and contextual factors for digital micro-entrepreneurs to lead sustainable careers.

Eighteen YouTube content creators in India participated in semi-structured interviews, offering coverage of digital content creators across acting, cosmetics, finance, fitness, food, law, modelling, music, teaching, travel, and video games.

The findings showed three agentic and three contextual themes associated with the career sustainability of a digital micro-entrepreneur. Additionally, four paradoxes were identified, capturing the interplay between the agentic and contextual themes.

The career of a digital micro-entrepreneur is a dichotomy of promising hope, stardom, and flexibility while concealing challenges like precarity, hate comments, and financial instability. Knowing this can help individuals make better-informed career decisions.

The study advances sustainable career theory by capturing insights from digital micro-entrepreneurs in India to understand the interplay of agentic and contextual factors that create a series of paradoxes for such individuals to navigate over time.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

The role of industry 4.0 (I4.0) technologies for organizations to achieve a competitive advantage and mitigate disruptive emergency situations are well exhibited in literature. However, more light needs to be thrown into implementing I4.0 technologies to digitally transform organizations. This paper introduces a novel framework for formulating manufacturing strategy 4.0 (MS 4.0) that guides organizations to implement I4.0 successfully.

The experts working in I4.0 and technology management domains were interviewed to determine the definition, role and process for formulating MS 4.0. Text mining using VOSViewer© is performed on the experts' opinions to determine the key terms from the opinions through keyword analysis. The identified key terms are mapped together using the existing traditional manufacturing strategy formulation framework to develop the MS 4.0 framework. Finally, the proposed MS 4.0 framework is validated through a triangulation approach.

This study captured the role, definition and process to formulate MS 4.0 and proposed a framework to help practitioners implement I4.0 at manufacturing organizations to achieve competitiveness during normal and emergency situations.

The proposed MS 4.0 framework can assist industry practitioners in formulating the strategy for implementing the I4.0 technology/gies to digitally transform their manufacturing firm to retain the maximum manufacturing output and become market competent in normal and emergency situations.

This study is the first of its kind in the body of knowledge to formulate a digital transformation strategy, i.e. MS 4.0, to implement I4.0 technologies through a manufacturing strategic lens.