PurposeThe alternative arrangements to traditional employment have become a promising area in the gig economy with the technological advancements dominating every work. The purpose of this paper is to explore the barriers to the entry of gig workers in gig platforms pertaining to the food delivery sector. It proposes a framework using interpretive structural modelling (ISM) for which systematic literature review is done to extract the variables. This analysis helps to examine the relationship between the entry barriers to gig platforms. The study further proposes strategies to reduce the entry barriers in gig sector which would help to enhance productivity and generate employment opportunities.Design/methodology/approachThe study uses interpretive structural model (ISM) to ascertain the relationship between various entry barriers of the gig workers to the gig platforms. It also validates the relationship and understand the reasons of their association along with MICMAC analysis. The model was designed by consulting the gig workers and the experts allied to food delivery gig platforms namely Zomato and Swiggy.FindingsIt was observed that high competition, longer login hours and late-night deliveries are the significant barriers with high driving power and low dependence power. Poor payment structures and strict terms and conditions for receiving the incentives are interdependent on each other and have moderate driving and dependence power. The expenses borne by the gig workers, such as Internet, fuel and vehicle maintenance expenses have high dependence power and low driving power. Hence, they are relatively less significant than other barriers.Research limitations/implicationsThe study is confined to food delivery sector of India, without considering other important sectors of gig economy for generalizing the framework. As the study is based on forming an ISM framework through literature review only, it does not consider other research methods for analysing the entry barriers to the gig platforms.Practical implicationsThe study attempts to dig out the low entry barriers for gig workers in food delivery platforms as there is a dearth of analysis of these factors. This study would weave them using ISM framework to help the gig platforms overcome these barriers at various levels, thus adding to the body of literature.Originality/valueThe study discusses the need for understanding relationship between the entry barriers in the form of ISM model to identify the dependent and driving factors of the same.
Purpose While traditionally it was believed that shadow banking undercuts business from traditional commercial banks, the time has now arrived to examine the various innovative practices used by various shadow banks and non-banking finance companies (NBFCs) to explore various collaboration and competition possibilities. The parallel existence of the traditional and shadow banking systems creates a market environment where both the entities are inter-dependent for growth and development with their edge of advantages and snags. This study aims to investigate the development and growth of deposits in NBFCs and scheduled commercial banks (SCBs) and, through the adoption of innovative practices, highlights possible growth opportunities for both ahead. Design/methodology/approach This study uses yearly bank deposit data from 1998 to 2019. This study incorporates univariate autoregressive integrated moving average modeling to predict the future deposit growth of SCBs and NBFCs in India. Findings This study concludes that both the entities, i.e. NBFCs and SCBs, will experience deposit growth; however, the proportionate growth of deposits in SCBs will be higher than NBFCs. Research limitations/implications This study concludes that the NBFCs will exhibit higher growth in the future. Thus, a strengthened regulatory framework will boost the growth of the NBFCs, providing a safe environment to the investor. Further, as this study primarily considers only deposit-taking NBFCs and commercial banks and a single variable – “deposit” to predict its future growth, it offers a scope for future research to consider and include other kinds of NBFCs like non-deposit taking NBFCs, housing finance companies, micro-finance Institutions and infrastructure finance companies. Originality/value A competently regulated financial system of an emerging economy confers tremendous growth opportunities to the financial institutions functioning in the system. Deposits are a significant parameter for the performance of the financial institution; thus, by keeping it as the underlying premise, this study forecasts the future growth in deposits for both the commercial banks and NBFCs. This forecasted growth in deposits for both entities, if analyzed and acted upon appropriately, can, apart from other opportunities for investment, be used to point at directional growth of the economy and the gross domestic product, considering that credit growth is a barometer for economic growth. The scope of this study is limited to NBFCs and SCBs of India and considers only a single variable, i.e. deposit for data analysis and growth forecasting.
The study examines the factors affecting the performances of the Indian banking sector, especially after the global financial crisis. The sample constitutes a total of 33 scheduled commercial banks (SCBs) that were operative in India during the period extending from 2002 to 2016 by employing a panel data model. It also reports that leverage and management efficiency as internal determinants do have a significant impact, while inflation as an external determinant affects the bank's profitability. The Indian banking industry has been less affected by the influence of external factors as compared to profitability.
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