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The aim of this paper is to extend a conceptual understanding of business process outsourcing (BPO) and its prevailing practices in the background of the post‐liberalized economic scenario of India. Efforts have also been made to discuss the major work verticals of Indian ITES‐BPO industry, which further reveals the fact of its domain expertise and in‐time delivery of services in a pre‐determined standard with least possible cost that has made India a BPO hub. The later part of the study deals with an empirical SWOT‐analysis that highlights the key factors that have significant bearing to the very flourishment of this sunshine industry.

The data collected for the analysis are secondary in nature and include various journals, periodicals, survey reports and on‐line business reports/news. The techniques like trend analysis and SWOT analysis in particular have been implemented for the purpose of study.

The paper found that in addition to the growth of traditional industries, patronization of this emerging sector is also a high necessity, looking at its socio‐economic contribution to the society on one hand and considerable amount of employment creation and income generation capabilities for the bright mass of the country that restrict “brain drain”, on the other hand.

The paper describes, analyses and critiques the outsourcing industry in India with reference to a core theory base. It is expected to be helpful in stimulating the analytical mind of the researchers and industry practitioner of the area for scientific decision making and furthering the research on this particular aspect of business.

The purpose of this paper is to create an understanding on the magnitude and dimension of supply chain collaboration (SCC) reported in the literature. The detailed review discusses various indicators that help companies to implement collaboration successfully and create awareness on the barriers faced while initiating collaboration in supply chain (SC).

The meta-analysis includes full-text papers retrieved from the Web of Science database using verified keywords. The articles are reviewed for identifying the performance indicators used to evaluate the SC. The systematic review is performed for the collaborative techniques in the following categories: information sharing (IS); vendor managed inventory; and collaborative planning, forecasting and replenishment. The papers are then comprehensively analyzed for the approaches, and the key findings are mentioned along with the future scope.

The review suggests that the SC relationship, trust, quality of IS and technological involvement are to be focused for successful implementation of the collaborative technique. Proper collaboration helps SC partners to enhance their technique of operations in an effective manner which results in high business turnovers.

The review paper provides a quantitative study of SCC. A bird’s eye view of the scopes and benefits of using SCC for the academic scholars and industrial personnel are the primary concern discussed.

This paper aims to design an optimum vertical axis wind turbine (VAWT) and assess its techno-economic performance for wind energy harvesting at high-speed railway in Malaysia.

This project adopted AutoCAD and ANSYS modeling tools to design and optimize the blade of the turbine. The site selected has a railway of 30 km with six stops. The vertical turbines are placed 1 m apart from each other considering the optimum tip speed ratio. The power produced and net present value had been analyzed to evaluate its techno-economic viability.

Computational fluid dynamics (CFD) analysis of National Advisory Committee for Aeronautics (NACA) 0020 blade has been carried out. For a turbine with wind speed of 50 m/s and swept area of 8 m², the power generated is 245 kW. For eight trains that operate for 19 h/day with an interval of 30 min in nonpeak hours and 15 min in peak hours, total energy generated is 66 MWh/day. The average cost saved by the train stations is RM 16.7 mil/year with battery charging capacity of 12 h/day.

Wind energy harvesting is not commonly used in Malaysia due to its low wind speed ranging from 1.5 to 4.5 m/s. Conventional wind turbine requires a minimum cut-in wind speed of 11 m/s to overcome the inertia and starts generating power. Hence, this paper proposes an optimum design of VAWT to harvest an unconventional untapped wind sources from railway. The research finding complements the alternate energy harvesting technologies which can serve as reference for countries which experienced similar geographic constraints.

The purpose of this study is to broadly examine the role of marketing–finance interface factors for value creation. Specifically, the study investigates the influence of discretionary expenditures such as advertisement on valuation of brands and firms within the framework of risk factors.

To test the model and hypotheses of this study as it has the possibilities of multiple causations among different variables used in the system. Some independent variables are not truly independent and there is a possibility of biased estimation and inconsistent results. Hence a dynamic simultaneous equation model is used including the instrumental variable approach.

The study provides evidence for direct association between brand value and firm value which is represented by the joint impact of both operating and stock market performance. The results establish the direct relationship between brand and firm value and signify the relevance of intangible value creation.

This study addresses the gap in the research which examines the role of marketing decisions on value creation which jointly impacts both operating and stock market performance.

This paper aims to investigate the linear and nonlinear interactions between the blockchain technology index and the UAE stock market index within the context of the Abu Dhabi and Dubai banking sector.

In this study, linear analysis was performed using the generalized autoregressive conditional heteroscedasticity model (GARCH) (1,1) model, whereas nonlinear analysis was performed using the wavelet coherence model.

Based on the results of the GARCH (1) model, the authors find that the blockchain technology index has a positive significant impact on stock market returns in the Abu Dhabi and Dubai banking sector. In addition, the findings indicate that increasing blockchain integration in the banking industry decreases banks’ stock market volatility and facilitates price stabilization. Additionally, the coherence wavelet analysis reveals that there is a phase relationship between the blockchain technology index and banks’ stock market indices in the banking sector of the UAE. The association was stronger during the global pandemic crisis because they were moving together across different timescales.

With the help of the linear analysis, this study offers a focal point and valuable insights to policymakers, central banks and commercial banks management on how implementing blockchain technology in the banking industry help boost stock market returns, reduce volatility and facilitate price stability. As a result of the nonlinear analysis of the significant long-term degree of co-movement between blockchain technology and banks’ stock markets in UAE, policymakers or the management of banks in UAE should take the growth of the blockchain technology industry into consideration to ensure the continued development of the banking sector. For investors, the findings provide implications for portfolio managers operating in the UAE who are encouraged to take short-term co-movement into account (1–16-week horizons) through both frequency and time when designing their portfolio while keeping long-horizon periods in mind is not recommended.

It is a pioneering study that empirically examines the linear and nonlinear nexus between the blockchain technology index and banks’ stock market returns and price stability.