Background/Purpose: Telecommunication is a principal element in the current technology-driven world. The impact of mobile phone services over traditional services is the key to India witnessing the Digital revolution. This paper highlights the mobile phone services that have impacted the traditional services and the digital penetration that has been observed in almost every sector. Design/Methodology/Approach: This study is mainly based on the data collected from secondary sources of information. The secondary data sources are from annual reports of the telecom sector and websites. It is an explorative research case study that shows the emergence of mobile phone services over traditional telephone services and performs PESTLE analysis. Findings/Result: Based on the study, India has moved into a digital population to a great extent through the advancements in technology and internet services through data packs and broadband connections. The mobile phone services along with the Telecom sector in India have played a crucial role in this transformation with connectivity, affordability, and technological change. Originality/Value: This paper analyzes and interprets the data collected from the past 10 years with respect to telecommunications services and mobile services in India. Based on the findings and their interpretation, new knowledge in the form of recommendations/suggestions is presented. Paper Type: Industry Analysis as a Research Case Study.

Background /Purpose: Talent management is the kernel of human resource management, the process of procurement of the right people to be absorbed by a company based on its business requirements. The surge to absorb the right competency in the global market has forced every corporation to build a vibrant process to acquire the best, develop and engage the acquired effectively to achieve optimal results. This paper is a comprehensive study on acquiring information on the Talent Management process adopted by Tata Consultancy Services (TCS). Design/Methodology/Approach: This study is based on the data collected from secondary sources of information. The main sources of information are annual reports of the company and websites. It is an explorative research case study that aims at identifying the best practices in terms of the Talent Management process and to perform SWOC analysis. Findings/Result: Based on the study, TCS has a robust process in place not only to acquire the best talent but also to nurture the existing talent within the company. This well-established process has helped the company to have maximum employee retention, which is a great asset while considering the impact of human resourcefulness in the growth of the company. Originality/Value: This paper analyses and interprets the Talent Management model of TCS based on its past 5 financial years of data. Based on the findings and their interpretation, new knowledge in the form of recommendations/suggestions are presented. Paper Type: Company Analysis as a Research Case Study.

Purpose: The demand for management education is on a constant surge that has resulted in quality check of the students who are employed and will be of value to the organisation and country at large. This paper attempts to explore the literature that will help in understanding the students’ employability based on attributes that are vital to both industry and academia. The employability prediction model will help the management to understand the students’ output quality in terms of being employable or not. It will also help them to improve employability through proper intervention by training and development programs. Methodology: The study is based on the literature of employability models that have been developed using various approaches especially that of machine learning. The published research papers in various journals that were reviewed range from the time period 2006 -2022 have been analysed using ABCD analysis. Findings/Result: The employability models have been developed using machine learning approaches. The necessity of an accurate employability prediction model that serves as a guide to help students and faculty is the need of the hour. Originality Value: Employability models are of great value to the students and institutions as they provide a silver lining in knowing the students’ employability. There are several gaps in terms of building an appropriate model that will serve as a scale to measure the uncertainty that exists in knowing the quality of output produced by management educational institutions. Type of Paper: Review paper.

Purpose: The demand for management education is on a constant surge that has resulted in quality check of the students who are employed and will be of value to the organisation and country at large. This paper attempts to explore the literature that will help in understanding the students’ employability based on attributes that are vital to both industry and academia. The employability prediction model will help the management to understand the students’ output quality in terms of being employable or not. It will also help them to improve employability through proper intervention by training and development programs. Methodology: The study is based on the literature of employability models that have been developed using various approaches especially that of machine learning. The published research papers in various journals that were reviewed range from the time period 2006 -2022 have been analysed using ABCD analysis. Findings/Result: The employability models have been developed using machine learning approaches. The necessity of an accurate employability prediction model that serves as a guide to help students and faculty is the need of the hour. Originality Value: Employability models are of great value to the students and institutions as they provide a silver lining in knowing the students’ employability. There are several gaps in terms of building an appropriate model that will serve as a scale to measure the uncertainty that exists in knowing the quality of output produced by management educational institutions. Type of Paper: Review paper.

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