Understanding where a company is in its life cycle is important. The sustainable growth rate (SGR) is an indicator of what stage a company is in, in its life cycle. The position often determines corporate finance objectives such as what sources of financing to use, dividend pay‐out policies, or overall competitive strategy. The purpose of this study is to analyze the actual growth rate as well as SGR and investigate the overall effect of selected independent variables on SGR.

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied to the AI and BDA literature to map out existing scholarships. We summarise 711 bibliometric articles on AI & its sub-sets and BDA published in multiple fields to identify academic disciplines with significant research contributions. We pulled bibliometric review papers from the Scopus Q1 and Q2 journal database published between 2012 and 2022. The Scopus database returned 711 documents published in journals of different disciplines from 59 countries, averaging 17.9 citations per year. Multiple software and Database Analysers were used to investigate the data and illustrate the most active scientific bibliometric indicators such as authors and co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. The USA was the most influential nation (101 documents; 5405 citations), while China was the most productive nation (204 documents; 2371 citations). The most productive institution was Symbiosis International University, India (32 documents; 4.5%). The results reveal a substantial increase in bibliometric reviews in five clusters of disciplines: (a) Business & Management, (b) Engineering and Construction, (c) Healthcare, (d) Sustainable Operations & I4.0, and (e) Tourism and Hospitality Studies, the majority of which investigate the applications and use cases of AI and BDA to address real-world problems in the field. The keyword co-occurrence in the past bibliometric analyses indicates that BDA, AI, Machine Learning, Deep Learning, NLP, Fuzzy Logic, and Expert Systems will remain conspicuous research areas in these five diverse clusters of domain areas. Therefore, this paper summarises the bibliometric reviews on AI and BDA in the fields of Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism and serves as a starting point for novice and experienced researchers interested in these topics.

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The objective of the research carried out is to understand the impact of selected economic variables (such as Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation) on credit rating of Indian companies.The sample comprises of 120 rating observations during the period 2012–2016 for a total of 24 companies of India.Measurement of central tendency – descriptive statistics is used where credit rating is used as dependent variable and five economic factors viz. Crude Oil Price, GDP, Industrial Production, Exchange Rates, and Inflation as the independent variables. Results from the analysis indicate that the credit rating responds in both linear, as well as nonlinear manner, to selected economic factors. Economic factors such as GDP, Industrial Production, and Exchange Rates have a linear relationship to credit rating, whereas Crude Oil price and Inflation have a non-linear impact upon the credit rating.

Purpose The government has taken an initiative to improve the MBBS admission process in the country to eradicate the academic dishonesty and encourage the deserving candidates for MBBS enrolment. The Supreme Court has paved the way to hold the National Eligibility-cum-Entrance Test (NEET), a common entrance test for admission to undergraduate and postgraduate medical courses, from the 2016-17 academic year onwards. This paper aims to focus on the contention raised by various stakeholders associated with it and examines the pass percentage of plus two State Board examinations in 2015, 2016 and 2017 and admission details for 2016 and 2017. Design/methodology/approach The researchers adopted exploratory research. The researchers studied the medical admission process at national and global levels. They collected data of MBBS admission, NEET, State Board and CBSE plus two results and information from newspapers, website and magazine articles. Many experts published articles in newspapers. No study analysed data and made an exhaustive exploratory study. This motivates the researcher to do the same. Simple percentage, percentage change, correlation analysis and the sign test are used to determine whether the State Board or CBSE students get benefitted out of NEET to become medical professionals. Findings There is no significant relationship between MBBS enrolment of students (both State Board and CBSE students) before and after the NEET was introduced. From correlation analysis, it is inferred that the pass percentage of students who studied under State Board and MBBS enrolment were lesser in 2017 than 2016. It is also inferred that many districts students’ enrolment in MBBS course have increased from 2016 to 2017. The researchers concluded that because of NEET, CBSE students got more enrolment in MBBS course in 2017 compared with State Board students in 2016. Research limitations/implications The researchers found that the students with State Board examinations enrolled in lesser number for MBBS course than CBSE students in Tamil Nadu. There is a scope for improvement in designing and implementing NEET with the deliberations among different stakeholders involved with the medical education system, which will help in reducing the rampant corruption and, most importantly, pave the way for a selection based on merit in medical education. Possibly, this will also work as a safeguard to the sanctity of the medical profession in India and at the global level. Originality/value The researcher collected data from newspapers, websites and journals. Many experts discuss about, for and against NEET. No one analysed the data. This is a unique article that has more statistical analysis and meaningful interpretations from analysis. This paper will be useful to the government at national and global levels to frame medical admission procedure and policies.