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Based on 9,281 firm-level survey data on micro, small and medium enterprises (MSMEs) in India, this study aims to investigate how access to different finance sources and collateral requirement facilitates the firm’s innovation activity across industries.

This paper used ordered logit regression models using Stata software for explanatory variables to measure the impact of explanatory variables on firm innovation performance. Firms’ innovation performance is measured through the aggregate innovation index obtained by adding up the no. of “new-to-firm” activities.

The empirical results reveal that external sources of funding impact innovation activity than other financing sources. Also, the requirement of collateral for financing impacts innovation performance significantly. This paper finds that firms funded by state-owned banks or government agency are more actively engaged in innovation activities. The firm’s size, ownership structure and location of the firm also show the varying innovation performance. This paper found variation in innovation performance across industries as well.

First, the present study underlines the significance of funding sources. Second, minimizing the need for collateral to obtain external finance boosts small firms’ innovation activity and will also trigger overall economic growth. Finally, while making policies for ownership transformation of state-owned institutions, policymakers should discuss these policies’ impact on innovative firms.

What facilitates innovation performance in an emerging market is missing in the literature for MSMEs, largely due to lack of data. It is reasonable not to generalize innovation knowledge in large firms to small firms because of the constraints, particularly MSMEs face.

Past research has generally associated organizational citizenship behavior (OCB) with positive individual and organizational outcomes, paying little attention to its possible costs for individuals. Drawing from the conservation of resource theory (COR), the purpose of this paper is to address this gap by developing an integrative framework that simultaneously investigates the potential costs and benefits of OCB for individuals. In addition, the paper also investigates the down-streaming effects of OCB on workplace well-being (job satisfaction and affective commitment) favorably via psychological well-being and unfavorably via role overload.

A sample of 566 employees working in private sector banks in India was collected by using multi-stage random sampling approach. Structural equation modeling (SEM) was used to test the hypothesized relationships. Parallel mediation regression analysis was used for ascertaining the specific indirect effects of the two parallel mediators.

Results indicate that OCBs targeted toward co-workers (OCBI), organization (OCBO) and customers (OCBC) were positively associated with psychological well-being. Simultaneously, OCBO was found to be positively associated with higher role overload. Further, psychological well-being and role overload mediated the effect of various dimensions of OCB on employees’ workplace well-being.

The study contributes to the existing literature by investigating both the beneficial and detrimental effects of various dimensions of OCB into one theoretical framework. By doing so, the study attempts to bridge the gap in the literature by linking these two divergent streams of research, i.e. whether OCB is beneficial or costly for individuals.

Based on the conservation of resource (COR) theory, this study investigates the association between the perception of organizational politics and organizational citizenship behavior (OCB) while considering the mediating role of knowledge hiding and moderating role of political skill in this process.

Data were collected in a time-lagged survey in two waves with a three-week interval from frontline employees and their peers working in private sector banks in India. The hypothesized relationships were ascertained using the PROCESS macro for SPSS.

The results revealed a negative association between the perception of organizational politics and OCBs targeted at co-workers (OCBI), organization (OCBO) and customers (OCBC), both directly and indirectly, via knowledge hiding. Additionally, the negative indirect effect of the perception of organizational politics on OCB facets, via knowledge hiding, is buffered for individuals with high levels of political skill.

The current study portrays a more comprehensive understanding of the dynamics between the perception of organizational politics and OCB, with a particular emphasis on identifying the unidentified factors that may impact this liaison.

Drawing from the gender schema theory and social role theory, the purpose of this study is to assess the gender-congruent nature of organizational citizenship behaviors (OCBs) through the mediating role of gender role orientation (femininity and masculinity) in the relationship between individuals sex and OCB dimensions. It also explores the moderating effect of gender ideology on the influence of sex on the exhibition of gender-congruent OCBs.

Data were collected in two waves with a time lag of three weeks from frontline employees and their peers working in the Indian private banking sector. PROCESS macro was used to assess the hypothesized relationships.

The results indicated that femininity mediated the influence of sex on OCBs directed toward co-workers (OCBI). However, the mediating role of femininity was not confirmed in the association between sex and OCBs targeted toward customers (OCBC). Further, masculinity mediated the influence of sex on OCBs directed toward the organization (OCBO). Gender ideology also moderated the relationship between sex and OCBs, such that traditional women displayed more OCBI as compared to egalitarian women, while egalitarian women displayed more OCBC than traditional women. Additionally, traditional men were found to display more OCBO than egalitarian men.

The paper contributes to the existing literature by suggesting that the performance of OCBs depends upon various gender identities, with each gender identity having its own and significant effect on the performance of OCB.

This paper aims to attempt to capture the intertemporal/time-varying risk–return relationship in the Brazil, Russia, India and China (BRIC) equity markets after the global financial crisis (2007-2009), i.e. during a relative calm period. There has been a significant increase in advanced economies’ equity allocations to the emerging markets ever since the financial crisis. So, the present study is an attempt to account for the said relationship, thereby justifying investments made by the international investors.

The study uses non-linear models comprising asymmetric component generalised autoregressive conditional heteroskedastic model in mean (CGARCH-M) (1,1) model, generalised impulse response functions under vector autoregressive framework and Markov regime switching in mean and standard deviation model. The span of data ranges from 1 July 2009 to 31 December 2014.

The ACGARCH-M (1,1) model reports a positive and significant risk-return relationship in the Russian and Chinese equity markets only. There is leverage and volatility feedback effect in the Russian market because falling returns further increase conditional variance making the investors to expect a risk premium in the expected returns. The impulse responses indicate that for all of the BRIC markets, the ex-ante returns respond positively to a shock in the long-term risk component, whereas the response is negative to a shock in the short-term risk component. Finally, the Markov regime switching model confirms the existence of two regimes in all of the BRIC markets, namely, Bull and Bear regimes. Both the regimes exhibit negative relationship between risk and return.

It is an imperative task to comprehend the relationship shared between risk and returns for an investor. The investors in the emerging economies should understand the risk-return dynamics well ahead of time so that the returns justify the investments made under riskier environment.

The present study contributes to the literature in three senses. First, the data relate to a period especially after the global financial crisis (2007-2009). Second, the study has used a relatively newer version of GARCH based model [ACGARCH-M (1,1) model], generalised impulse response functions and Markov regime switching model to account for the relationship between risk and return. Finally, the study provides an insightful understanding of the risk–return relationship in the most promising emerging markets group “BRIC nations”, making the study first of its kind in all the perspectives.

This paper aims to attempt to capture the co-movement of the Indian equity market with some of the major economic giants such as the USA, Europe, Japan and China after the occurrence of global financial crisis in a multivariate framework. Apart from these cross-country co-movements, the study also captures an intertemporal risk-return relationship in the Indian equity market, considering the covariance of the Indian equity market with the other countries as well.

To account for dynamic correlation coefficients and risk-return dynamics, vector autoregressive (1) dynamic conditional correlation–asymmetric generalized autoregressive conditional heteroskedastic model in a multivariate framework and exponential generalized autoregressive conditional heteroskedastic model in mean with covariances as explanatory variables are used. For an in-depth analysis, Markov regime switching model and optimal hedging ratios and weights are also computed. The span of data ranges from August 10, 2010 to August 7, 2015, especially after the global financial crisis.

The Indian equity market is not completely decoupled from mature markets as well as emerging market (China), but the time-varying correlation coefficients are on a downward spree after the global financial crisis, except for the US market. The Indian and Chinese equity markets witness a highest level of correlation with each other, followed by the European, US and Japanese markets. Both the optimal portfolio hedge ratios and portfolio weights with two asset classes point out toward portfolio risk minimization through the combination of the Indian and US equity market stocks from a US investor viewpoint. A negative co-movement between the Indian and US market increases the conditional expected returns in the Indian equity market. There is an insignificant but a negative relationship between the expected risk and returns.

The study provides an insight to the international as well as domestic investors and supports the construction of cross-country portfolios and risk management especially after the occurrence of global financial crisis.

The present study contributes to the literature in three senses. First, the period relates to the events after the global financial crisis (2007-2009). Second, the study examines the co-movement of the Indian equity market with four major economic giants such as the USA, Europe, Japan and China in a multivariate framework. These economic giants are excessively following the easy money policies aftermath the financial crisis so as to wriggle out of deflationary phases. Finally, the study captures risk-return relationship in the Indian equity market, considering its covariance with the international markets.

Due to the growing complexity involved in leveraging the endless possibilities of ICT on all levels, the technical competence of faculties of higher education institutions (HEI) and effective methods for fostering e-readiness has become questionable.

This research has developed and validated an empirically supported e-readiness scale, which can be used by HEIs to assess faculty members’ preparedness toward online teaching. The measurement model and the structural model were developed as the results of exploratory factor analysis and confirmatory factor analysis (n = 245). The previously identified components and their indicators were validated using the structural models and the final scale was developed with five dimensions (“online technological readiness, pedagogical readiness, institutional readiness, learning and delivery readiness and content readiness”).

The faculties’ e-readiness assessment tool, as a useful tool, could aid institutions in identifying problems that affect the implementation of e-learning or digitalization in the institutions and developing strategies in response.

Like any research this research also has some limitations and can be considered as future research probability like the responses for this research were collected from HEI in India; however, a cross-cultural study can be conducted to understand the parameters across the globe. Although the psychometric qualities of the e-readiness scale are acceptable, additional research in various higher educational environments, both nationally and internationally, is required to further establish the scale’s relevance, validation and generalizability.

Although many scales have been developed to assess the readiness level in the education sector, a scale, that holistically measures, the readiness level of faculties from an overall perspective was required. This scale can be used to recognize the e-readiness level of teachers in HEIs. This scale can also help the institutions assess the readiness level of their faculty members and address any improvements required in their teaching and learning pedagogy, further acknowledging training needs.

The purpose of this paper is to provide a mathematical framework to optimally allocate resources required for the discovery of vulnerabilities pertaining to different severity risk levels.

Different sets of optimization problems have been formulated and using the concept of dynamic programming approach, sequence of recursive functions has been constructed for the optimal allocation of resources used for discovering vulnerabilities of different severity scores. Mozilla Thunderbird web browser data set has been considered for giving the empirical evaluation by working with vulnerabilities of different severities.

As per the impact associated with a vulnerability, critical and high severity level are required to be patched promptly, and hence, a larger amount of funds have to be allocated for vulnerability discovery. Nevertheless, a low or medium risk vulnerability might also get exploited and thereby their discovery is also crucial for higher severity vulnerabilities. The current framework provides a diversified allocation of funds as per the requirement of a software manager and also aims at improving the discovery of vulnerability significantly.

The finding of this research may enable software managers to adequately assign resources in managing the discovery of vulnerabilities. It may also help in acknowledging the funds required for various bug bounty programs to cater security reporters based on the potential number of vulnerabilities present in software.

Much of the attention has been focused on the vulnerability discovery modeling and the risk associated with the security flaws. But, as far as the authors’ knowledge is concern, there is no such study that incorporates optimal allocation of resources with respect to the vulnerabilities of different severity scores. Hence, the building block of this paper contributes to future research.

Relying on social identity and social exchange perspectives, the present study aims to investigate the role of employee branding dimensions in stimulating employees’ brand citizenship behaviour (BCB) directly and indirectly through job satisfaction and affective brand commitment.

A field-survey method was used to target customer-contact employees of luxury chain hotels. Regression-based approach and bootstrap method (via PROCESS MACRO, Model 6) were applied to test the direct and indirect effects.

The results show that perceived external brand prestige has a strong direct effect on BCB. Through mediation analysis, this study observes that job satisfaction and affective brand commitment have significant mediation effects (i.e. individual, parallel and sequential) between employee branding dimensions and BCB. Analysing the results precisely, job satisfaction and affective brand commitment have the lowest sequential mediation effect and the greatest parallel mediation effect concerning the said relationships.

This study is novel in applying a three-path mediation model in the Indian hospitality context, considering a multi-dimensional perspective of employee branding to capture its diverse impact on BCB directly and indirectly through job satisfaction and affective brand commitment. Moreover, this study advances employee branding research by considering the under-investigated mediating (individual, parallel and sequential) role of job satisfaction and affective brand commitment.

With the globalization and liberalization in terms of increasing financial flows across the countries, the policy makers around the world are not independent in the context of monetary and fiscal policy initiatives. In this regard, this paper aims to attempt to quantify and capture long run, short run as well as time-varying linkages among the two financial stress indices, namely, Kansas City Financial Stress Index (KCFSI) and Indian Financial Stress Index (IFSI) across the monthly period (2004 to 2014).

Owing to the non-existence of a standardized financial stress index with regards to the Indian financial system, the study has developed an index/stress indicator using principal component analysis. Furthermore, to comprehend the linkages, the study uses bivariate Johansen cointegration model, vector error correction model, impulse response functions (IRF), variance decomposition analysis (VDA), Toda-Yamamoto’s Granger causality test and, finally, bivariate generalized autoregressive conditional heteroskedastic (BVGARCH) (1,1) model under constant conditional correlation (CCC) framework.

The results report a stochastic trend among the two indices wherein the US financial system acts as a source of a shock causing disequilibrium in the long run co-movement. About 40 per cent of the adjustments take place in one month and rest in the coming months. Both the IRF and VDA report a greater degree impact of the US financial stress on the Indian financial system. Moreover, there is a uni-directional short run causality running from the stress in the US financial system to the Indian financial stress. Furthermore, the co-movement between the US and Indian financial stress reached to its maximum significant level during the sub-prime crisis even confirmed by the Markov switching model results.

Overall, the results provide an insight to the financial market investors both domestic as well as international in their act of risk management. The financial stress prevailing in an economy further has an impact on different economic factors like foreign exchange rates, interest rates, yield curves, equity market returns and volatility. So, the empirical results support strong implications for the Indian policy makers as well as investors in the Indian financial markets.

The present study contributes to the literature in three senses. First, the study considers indices reflecting financial stress in the Indian as well as US financial system. Second, the study captures long run as well as short run linkages among the financial stress indices relating to a developed and an emerging market. Finally, the study uses CCC-BVGARCH (1,1) model to account for the time-varying co-movement among the financial stress indices. This helps in comprehending time-varying nature of the co-movement of the stress in the financial system prevalent in the respective markets.