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Electronic commerce (e-commerce) is growing rapidly and the e-retailers are finding it pertinent to enhance customers’ online shopping experiences and engage them with e-commerce portals. Against this backdrop, the purpose of this study is to develop a conceptual model of customer engagement, where credibility and usefulness of online reviews are found to trigger the adoption of reviews and customer trust that augments customer engagement.

A survey method design has been used to capture responses from 219 young customers (university students) of a reputed university in India. The hypothesized relationships have been examined through multiple regression analysis.

The findings of this study corroborate that the credibility and information usefulness of online reviews induce the adoption of reviews and propensity to trust e-commerce websites. The propensity to trust the reviews has been found to lead the adoption of reviews. The adoption of reviews is found to have a significant impact on the customer’ engagement with these portals.

The present study contributes to the theories of online marketing in the space of e-shopping, online reviews, customer trust, customer engagement and online shopping behavior. Further, this study provides a framework for managers to engage customers by triggering customers’ online trust through the facilitation of credible and useful reviews.

The study aims at understanding the role of different attributes associated with the online reviews’ credibility and information usefulness in driving customer engagement with specific focus on online shopping through the utility of online devices. The study is one of the pioneering empirical studies that explore the role of online reviews in driving customer engagement.

Recent research on the energy system highlights the need for understanding the bandwidth of drivers and inhibitors of household investor's behaviour in rooftop PV (or photovoltaic power system) and to fit the broader socio-economic context in which they are deployed. However, apart from few exceptions, these newer perspectives have not been duly applied in the research on rooftop PV. This paper aims to fill this gap and to shed new light on rooftop PV investment decisions.

This study has been conducted with the primary data collected using two data sets of 237 households and 387 households of Indian southern state Kerala using survey-based questionnaire. The findings from first data set revealed that households considering the adoption of PV were likely influenced by six distinct factors, three motivators and three inhibitors. Second data set for multi-state analytic approach was proposed whereby the research model was tested using structural equation modelling (SEM). The outcomes of SEM were used as inputs for an artificial neural network (ANN) model for forecasting investor investment decision in in renewables. The ANN model was also used to rank the relative influence of significant predictors obtained from SEM.

In line with the risk–return framework, government subsidies act as primary motivator which helps in overcoming the initial risk of investment in the new technology. Further, low prices and low cost of maintenance are some of the financial motivators which may likely mitigate the long-term apprehension of returns and maintenance cost. Lastly, the strongest motivators of PV investment come from the environmental and financial motivator in the form of PV subsidies, which further solidifies the role of policy interventions in investment decision. The ANN model identified the technical barrier and knowledge and awareness factors play a significant role in forcasting the investor investing decision.

The study results will be useful for policymakers for framing strategies to attract and influence their investment in renewable energy.

Building upon behavioural finance and institutional theory, this paper posits that, in addition to a rational evaluation of the economics of the investment opportunities, various non-financial factors affect the household's decision to invest in renewables.

This study aims to examine the impact of green operation (measured using the energy intensity of its operations) on the value of corporate firms in stock markets. The authors also examine the channel of such an impact and its implication on a firm's financing choices.

The authors conduct various univariate and multivariate regression analyses on a panel of all non-financial Indian firms listed on the National Stock Exchange from 2010 through 2018. The authors use the sensitivity of investments to the cash flows model to test the financial constraints hypothesis.

The authors’ analysis shows a positive relationship between energy efficiency (firms that consume a lesser amount of energy per unit of sale) and the value of firms in the stock market. The authors empirically attribute this greater valuation to the lesser volatility of stock returns, measured by the standard deviation of daily stock returns. Finally, the authors observe that investments in energy-efficient firms are less sensitive to their internal cash flows.

The results suggest that less green firms face greater constraints in accessing finance from external sources and, therefore, depend more on internal than external capital to finance their investments. Hence, managers of such firms can ease their financing pressures by making their operations greener.

In this study, the authors examine the implications of green operations on the financing choices of firms. This aspect of going green is important because managers will have enough incentives to invest in green technologies as that would increase their access to external finance and, hence, decrease their financial constraints.

This paper aims to examine the influence of the work–family interface on both work engagement and the psychological capital (PsyCap) of the liquid workforce. Also, drawing from the literature on consumer behaviour, the second objective of this paper is to investigate the impact of work engagement and PsyCap on customer advocacy.

A dyadic study was conducted, comprising 200 nurses and 200 patients from different healthcare service providers of India. Structural equation modelling was used to analyse the responses collected from nurses and the patients whom they served.

The results confirm that the home–work interface has a positive impact on work engagement and PsyCap. The findings also confirm a positive impact of PsyCap on customer advocacy, but the effect of work engagement on customer advocacy was not significant.

This study confirms that to keep liquid workers engaged in their work and to enhance their personal PsyCap, an organisation should provide the opportunity to maintain a balance between work and home needs. The findings also confirm that personal psychological resources (PsyCap) facilitate prosocial helping behaviour, which keeps customers closer and maintains them as true representatives of the organisation.

The present study is one of only a few preliminary studies examining the predictors of work engagement of liquid workers. Also, an inter-disciplinary approach was taken to understand the link between employee-level variables (home–work interface, work engagement and PsyCap) and a customer-level variable (customer advocacy).