Kiran Mehta, Renuka Sharma and Vishal Vyas
This study aims to assign efficiency score and then ranking the Indian companies known for best practices to control carbon-emission in the environment. It is destined to…
Abstract
Purpose
This study aims to assign efficiency score and then ranking the Indian companies known for best practices to control carbon-emission in the environment. It is destined to benchmark one company for best performance on the basis of selected alternatives among its peer group companies.
Design/methodology/approach
The present study has used a hybrid model by applying data envelopment analysis (DEA)-technique for order performance by similarity to ideal solution (TOPSIS) to measure the efficiency and ranking of various decision units on the basis of specified variables.
Findings
The findings of DEA have given the best alternative or best decision-making unit (DMU) among the set of 25 DMUs considered for empirical testing. The DEA technique is used with TOPSIS, which is another popular multi-criteria decision model. The integrated DEA-TOPSIS model has helped to compute the efficiency score of all 25 DMUs of study and also provide a unique rank to each of the efficient unit identified with the help of DEA technique.
Practical implications
The findings of the study have provided Benchmark Company amongst the companies following best practices for saving energy and having best operating profits too. This benchmark business unit can be studied extensively by peer group companies to compare various parameters affecting their efficiency and profits both.
Social implications
The findings of the study will promote the socially responsible practices by corporate citizens and adopt the practices to reduce their carbon footprints. It will also suggest to socially responsible investors to select the benchmark and most efficient companies for investment purpose.
Originality/value
The study is original in terms of measuring efficiency and ranking of companies known for best practices for controlling their carbon footprints and suggesting a benchmark company to its peer group. Also, the integrated approach of using DEA-TOPSIS for such type of studies also makes it distinctive from earlier work done in the related field.
Details
Keywords
Kiran Mehta, Renuka Sharma, Vishal Vyas and Jogeshwarpree Singh Kuckreja
The existing literature on venture capitalists’ (VCs’) exits provides insufficient evidence regarding factors affecting the exit decision. This study aims to identify these…
Abstract
Purpose
The existing literature on venture capitalists’ (VCs’) exits provides insufficient evidence regarding factors affecting the exit decision. This study aims to identify these factors and examine how VC firms do ranking or prioritize these factors.
Design/methodology/approach
The study is based on primary data. The qualitative analysis was done to develop the survey instrument. Fuzzy analytical hierarchical process, which is a popular method of multi-criteria decision modeling, is used to identify or rank the determinants of exit strategy by venture capital firms in India.
Findings
Broadly, eight determinants of exit strategy are ranked by VCs. A total of 33 statements describe these eight determinants. The results are analyzed on the basis of four measures of VCs’ profile, i.e. age of VC firm, number of start-ups in portfolios, type of investment and amount of investment.
Research limitations/implications
The survey instrument needs to be validated with a larger sample size and other financial backers than VCs.
Practical implications
The study has direct managerial implication for VC firms as it provides useful information regarding the determinants of exit strategy by VC firms in India. These findings can provide necessary information to other financial backers too, viz., angel investors, banks, non-banking financial institutions and other individual and syndicated set-ups providing funding to start-ups.
Originality/value
The current research is unique as no prior study has explored the determinants of VCs exit strategy and prioritizing these determinants.
Details
Keywords
D Karthik and Rajesh S. Upadhyayula
The case traces the genesis of NASSCOM and presents a decision situation faced by the new president who has to formulate a road map in the light of changed circumstances. NASSCOM…
Abstract
The case traces the genesis of NASSCOM and presents a decision situation faced by the new president who has to formulate a road map in the light of changed circumstances. NASSCOM has been an exemplary trade association. However, it faces challenges that can jeopardize the future if the industry. While the challenges do not have short term effect on the growing Indian IT-BPO industry, as the active industry ally NASSCOM's new leader has to ensure long term success of IT-BPO industry. The case can be best used to understand the IT industry dynamics through the eyes of an exemplary trade body and also understand how a trade association in emerging economies can play an important role to fill institutional voids.
Details

Keywords
Baljinder Kaur, Rupinder Kaur, Kiran Sood and Simon Grıma
Purpose: Worldwide economies have been shattered by the alarming increase in Non-Performing Assets (NPAs) in Banking Sector. In India, the rise in NPA levels gives a clear insight…
Abstract
Purpose: Worldwide economies have been shattered by the alarming increase in Non-Performing Assets (NPAs) in Banking Sector. In India, the rise in NPA levels gives a clear insight into the health of industry and state. This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: Punjab National Bank (PNB), Bank of India (BOI), UCO Bank, Punjab and Sind Bank (PSB), HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.
Design/methodology/approach: The study utilised IBM SPSS version 20 application to carry out our statistical analysis of measures of central location (mean and median), measures of dispersion (standard deviation), to carry out the Kolmogorov–Smirnov test to check the normality of data, the Mann–Whitney U test (for two groups) for median comparison between private and public sector banks and the Kruskal–Wallis test (for more than two groups) for median comparison for more than two banks. p ≤0.01 and p ≤0.05 were the two-tailed significance level used for determining the significance of all statistical tests.
Findings: Trend analysis and statistical tests show that the trend in public sector banks to have NPAs is higher compared to private sector banks, and losses arising from NPA impact the banks’ profitability.
Practical implications: It is apparent that NPAs are a large threat to banks in India as it reflects the state of the Indian economy. The growth of the economic cycle is predominantly dependent on the smooth and profitable functioning of private and public sector banks. This current study focusses on and compares the impact of NPAs on the profitability of public and private sector banks. NPAs have grown exponentially more in the case of public sector banks than private sector banks, which has affected the former banks’ financial health and performance. Increases in the level of NPAs adversely affect the working style and long-term stability of public and private sector banks in the economy.
Social Implications: NPAs have a negative influence on the profitability of the banks as well as on the economic growth of the country too. However, it is recommended that management in the banking sector, particularly the public banks, should use various preventive and recovery strategies to reduce the risk of failure and to keep track of NPAs to stay safe.
Originality/value: This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: PNB, BOI, UCO Bank, PSB, HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.
Details
Keywords
Aradhana Rana, Rajni Bansal and Monica Gupta
Introduction: The insurance sector provides security to society by pooling resources to manage risks. Insurers’ improved ability to analyse risks by examining vast amounts of…
Abstract
Introduction: The insurance sector provides security to society by pooling resources to manage risks. Insurers’ improved ability to analyse risks by examining vast amounts of granular data has considerably refined this technique. Compiling and analysing the fine data sets is now transformed into the ‘Big Data’ technique. The introduction of big data analytics (BDA) is transforming the insurance industry and the role data plays in insurance.
Purpose: This chapter will attempt to examine the applications and role of big data in the insurance sector and how big data affects the different insurance segments like health insurance, property and casualty, and travel insurance. This chapter will also describe the disruptive impact of big data on the insurance market.
Methodology: Systematic research is carried out by analysing case studies and literature studies, emphasising how BDA is revolutionary for the insurance market. For this purpose, various articles and studies on BDA in the insurance market are selected and studied.
Findings: The execution of big data is continuously increasing in the insurance sector. The performance of big data in the insurance market results in cost reduction, better access to insurance services, and more fraud detection that benefits the customers and stakeholders. Therefore, big data has revolutionised the insurance market and assisted insurers in targeting customers more precisely.
Details
Keywords
Dharmendra Trivedi, Atul Bhatt, Mayank Trivedi and Pankajray Vinodchandra Patel
This empirical study aims to measure the performance of electronic service quality and related infrastructure in a state university library and suggests the strategies for further…
Abstract
Purpose
This empirical study aims to measure the performance of electronic service quality and related infrastructure in a state university library and suggests the strategies for further improvement based on this study.
Design/methodology/approach
The data collection was done through a survey questionnaire based on the 22 attributes of four e-Service quality dimensions rated on five-point Likert scale. The sample population consisted of 239 respondents comprising of different categories of users of university library.
Findings
The results of this study indicated that all four dimensions rated by the users fell between mean score 3 to 4 (good), the highest score was received in dimension online public access catalogue (OPAC) and internet service with followed by Library website, Library electronic equipment’s and e-User education. Out of total 22 e-Service quality attributes, none of the attributes received score above 4 (excellent), which indicates that still university library need to improve the current performance of e-Service quality and to take remedial steps to enhance the existing e-services and infrastructure.
Practical implications
Findings from this study could assist university library authority to sustain and enhance performance of e-Services that could achieve the core journey of the modern university libraries.
Originality/value
This study was the first endeavour for measurement of the performance of e-Service quality and related infrastructure of federal university libraries in India.
Details
Keywords
Jyoti Kumari, Chandan Gupta, Priya Jindal, Amar Mishra and Kiran Sood
Introduction: In the modern period, environmental degradation has had negative effects on people’s health as well as the regular business environment. As a result, embracing a ‘Go…
Abstract
Introduction: In the modern period, environmental degradation has had negative effects on people’s health as well as the regular business environment. As a result, embracing a ‘Go Green’ philosophy has gained widespread acceptance among individuals and corporations worldwide. Going green is referred to as promoting eco-friendly ways and banks are essential in protecting the environment to improve our quality of life.
Purpose: This study will focus on the correlation between green banking practices (GBP), employee green behaviour (EGB), and banks’ sustainability performance and how this relationship will give a competitive edge in terms of sustainability to the banks adopting these GBP.
Methodology: EGB between GBP and bank sustainability occurrence is clarified by this study. The current study is descriptive and finds the relationship through previous literature reviews.
Findings: Employees are expected to be crucial in this transformation as the modern banking system adopts green banking initiatives and updates traditional banking processes. Employees help banks perform more sustainably by encouraging environmentally friendly banking practices.
Practical Implications: By understanding the mechanism, between GBP and bank sustainability, banks can adopt more effective strategies to enhance their sustainability performance while promoting environmentally friendly practices.
Details
Keywords
Priya Jindal and Lochan Chavan
Purpose: The banking sector took the initiative to improve it by releasing a new blockchain application. This innovative approach connects customers from various geographic…
Abstract
Purpose: The banking sector took the initiative to improve it by releasing a new blockchain application. This innovative approach connects customers from various geographic locations and also gives them a sense of banks’ global presence. Competition is one of the most important market factors because consumer tastes, interests and demands constantly change, making it difficult to meet these problems.
Methodology: Blockchain develops a Blue Ocean Approach in this competitive climate by enticing numerous market segments and giving the financial industry a fresh perspective that benefits the potential consumer. This chapter illustrates how the Blue Ocean Approach can be unlocked by a disruptive technology called blockchain, which generates value innovation and renders the competition obsolete.
Findings: This paradigm shifts the emphasis away from the present competition and generates value and demand for the product. The researcher advises that the Blue Ocean Strategy in retail banking, which uses blockchain technology, works very well since it eliminates cut-throat competition and favours costs, operations, and meeting financial targets on time.
Practical Implications: The study focuses on the bank’s real-world application of the Blue Ocean Strategy and the discovery of sustainable marketing strategies that will aid in their pursuit of innovation. It also highlights the elements introduced in the banking industry to support innovation and the development of long-lasting markets.
Details
Keywords
Savita Gupta, Ravi Kiran and Rakesh Kumar Sharma
In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of…
Abstract
Purpose
In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).
Design/methodology/approach
This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).
Findings
DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.
Originality/value
This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.