Search results

The purpose of this paper is to integrate impostor syndrome and leadership research to identify antecedents of impostor syndrome, their impact on sustainable leader behaviors. The paper also postulates the moderating effect of mindfulness and leader member exchange on impostor syndrome and sustainable leader behaviors, respectively.

The paper relies on an integrative approach of literature review on impostor syndrome and leadership. After identifying gaps in impostor syndrome research and its intersectionality with the constructs of contextual leadership theory, an integrative conceptual framework was formulated incorporating antecedents, consequences and moderators of impostor syndrome.

Three antecedents of impostor syndrome were identified from the literature, namely, gender, family/social role expectation and personality traits. Additionally, this paper also unearths contextual factors as yet another antecedent to impostor syndrome. Negative impact of impostor syndrome on leader behaviors such as managerial decision-making, innovative work behavior (IWB) and organizational citizenship behavior (OCB) were established by connecting those to the three primary characteristics of impostor syndrome, namely, low self-efficacy, fear of failure and perceived fraudulence, respectively. Finally, the paper also posits the moderating role of leader member exchange and mindfulness and proposes mindfulness training as an effective intervention for impostor syndrome.

This being a conceptual paper will benefit from empirical studies that corroborate theoretical posits. The scope of studying the effect of impostor syndrome on sustainable leader behavior was limited to three major variables, namely, managerial decision-making, IWB and OCB. Thus, it calls for a more elaborate model of impostor syndrome including other relevant leader behaviors.

The model when applied in organizational context addresses the need for mindfulness training to reduce the effect of impostor syndrome among leaders. Leaders will exhibit sustainable behaviors when provided with the right kind of training.

The study attempts to integrate the two independent constructs, impostor syndrome and leadership to establish a novel and meaningful connection and throws light to the unaddressed antecedents, consequences and moderators of its impact on sustainable leader behaviors. From learning and development practitioners’ perspective, it also signifies the effectiveness of mindfulness training among employees’ personal and professional development.

This research explores the impostor phenomenon (IP) within the context of gender and leadership, aiming to transform impostor feelings into catalysts for leadership empowerment and positive career outcomes.

Utilizing grounded theory, this study conducts in-depth interviews with 34 female Spanish senior executives to analyze their experiences with IP.

The research reveals that top executive women are not only affected by IP but can also harness it to foster personal and professional growth. It identifies key strategies – such as self-reflection, effective communication and cultivating positive habits – that enable women to transform IP into a lever for enhancing their careers. This approach leads to a proposed virtuous cycle model that empowers women to overcome the negative impacts of IP and advance their leadership capabilities.

This study contributes to the literature on gender and leadership by offering insights into the gendered nuances of IP. By framing IP as a potential catalyst for growth rather than a barrier, the study provides practical tools for human resource (HR) departments to promote gender diversity at senior levels. It also advocates for HR practices to dismantle internal barriers to women’s career progression and address conscious and unconscious gender biases.

To identify and analyze the relevant themes in the literature on digital transformation and internationalization, revealing opportunities for future studies.

A systematic literature review was developed using the Scopus and Web of Science databases. Initially, 156 publications were identified. Based on inclusion/exclusion criteria, a final sample of 74 articles was reached. A bibliometric and qualitative analysis were developed.

Eight main themes related to internationalization, such as internationalization strategy, internationalized companies, marketing-related issues, export, global supply chain, entrepreneurship and new ventures, SMEs internationalization and internationalization of educational institutions, were identified. Eight main themes related to digital transformation were also identified, including internationalization drivers, digital technologies, business model innovation, digitalization, Industry 4.0, digital platforms and e-commerce, people and digital transformation and digital institutional environment.

In recent years, the term digital transformation has become part of the daily lives of many organizations and of life in society itself. For internationalized companies, this discussion has also become present. Although a relationship between digital transformation and internationalization is often presented, the dimensions of analysis of this relationship are still very fragmented, and this study presents a systemic view of the themes. These themes represent opportunities for future studies.

The purpose of this paper is to analyze heat and mass transport mechanism of unsteady MHD thin film flow of aluminium–copper/water hybrid nanofluid influenced by thermophoresis, Brownian motion and radiation.

The authors initially altered the time dependent set of mathematical equations into dimensionless form of equations by using apposite transmutations. These equations are further solved numerically by deploying Runge–Kutta method along with shooting technique.

Plots and tables for skin friction coefficient, Nusselt number, Sherwood number along with velocity, temperature and concentration profiles against pertinent non-dimensional parameters are revealed. The study imparts that aluminium–copper hybrid nanoparticles facilitate higher heat transfer rate compared to mono nanoparticles. It is noteworthy to disclose that an uplift in thermophoresis and Brownian parameter depreciates heat transfer rate, while concentration profiles boost with an increase in thermophoretic parameter.

The current study targets to investigate heat transfer characteristics of an unsteady thin film radiative flow of water-based aluminium and copper hybrid nanofluid. The high thermal and electrical conductivities, low density and corrosion resistant features of aluminium and copper with their wide range of industrial applications like power generation, telecommunication, automobile manufacturing, mordants in leather tanning, etc., have prompted us to instil these particles in the present study.

The present study has many practical implications in the industrial and manufacturing processes working on the phenomena like heat transfer, magnetohydrodynamics, thermal radiation, nanofluids, hybrid nanofluids with special reference to aluminium and copper particles.

To the best extent of the authors’ belief so far no attempt is made to inspect the flow, thermal and mass transfer of water-based hybridized aluminium and copper nanoparticles with Brownian motion and thermophoresis.

Amidst the concerns surrounding knowledge sharing, especially in academia, the study attempts to understand its impact on Research output. To deepen our understanding, the study considered the differing impact of age on knowledge sharing and research output through the lens of Continuity Theory and Socioemotional Selectivity Theory.

Data were collected from 385 faculties working in higher education institutions in India. The study uses Hierarchical regression analysis in SPSS 22.0 to test the hypotheses proposed.

A three-way interaction analysis of 385 faculties confirmed our presumption that the effect of knowledge sharing on research output was different for the two-age groups. Surprisingly, the positive effect of knowledge sharing on research output was stronger in older faculties than younger ones. However, technology usage and its effect on research output, declined with age.

Findings gave interesting insights which contradict our earlier notions of increasing age and suggest that instead of blaming increasing age alone for the reduced output, attention must be paid towards other hidden influencing factors.

The study is the first of its kind that investigates the effectiveness of knowledge sharing in academia and the impact of age on the underlying phenomenon. This study makes a novel attempt to deepen our understanding of the impact of age on research output.

The purpose of this paper is to examine whether volatility implied from dollar-rupee options is an unbiased and efficient predictor of ex post volatility, and to determine which options market is a better predictor of future realized volatility and to ascertain whether the model-free measure of implied volatility outperforms the traditional measure derived from the Black–Scholes–Merton model.

The information content of exchange-traded implied volatility and that of quoted implied volatility for OTC options is compared with that of historical volatility and a GARCH(1, 1)-based volatility. Ordinary least squares regression is used to examine the unbiasedness and informational efficiency of implied volatility. Robustness of the results is tested by using two specifications of implied volatility and realized volatility and comparison across two markets.

Implied volatility from both OTC and exchange-traded options is found to contain significant information for predicting ex post volatility, but is neither unbiased nor informationally efficient. The implied volatility of at-the-money options derived using the Black–Scholes–Merton model is found to outperform the model-free implied volatility (MFIV) across both markets. MFIV from OTC options is found to be a better predictor of realized volatility than MFIV from exchange-traded options.

This study throws light on the predictive power of currency options in India and has strong practical implications for market practitioners. Efficient currency option markets can serve as effective vehicles both for hedging and speculation and can convey useful information to the regulators regarding the market participants’ expectations of future volatility.

This study is a comprehensive study of the informational efficiency of options on an emerging currency such as the Indian rupee. To the author’s knowledge, this is one of the first studies to compare the predictive ability of the exchange-traded and OTC markets and also to compare traditional model-dependent volatility with MFIV.

The purpose of this paper is to ascertain the pattern of the implied volatility function for currency options traded on the National Stock Exchange of India (NSE), identify its potential determinants and to investigate any seasonality in the pattern.

The paper examines four different specifications for the implied volatility smile of exchange-traded dollar-rupee options. These specifications are tested by running Ordinary Least Squares (OLS) regressions on a daily basis for all options over the entire sample period. Seven potential determinants for the shape of the volatility function are identified. Contemporaneous and lead-lag relationships between these determinants and the shape of the volatility function are examined using OLS and multivariate VAR. Impulse response functions are employed to test the strength and persistence of the lead-lag relations. Seasonality of the smile pattern is tested using OLS.

The study shows that the implied volatility function for dollar-rupee options is asymmetric and varies with the time to maturity of the option. Historical volatility, momentum and jumps in the exchange rate, time to maturity, traded volume of options and volatility in the stock market appear to Granger-cause the shape of the volatility smile. Feedback causality is observed from the shape of the smile to the volatility, momentum and jumps in the exchange rate and trading volume of currency options. A weak day-of-the-week effect is observed in the pattern of the volatility smile.

The study sheds light on the potential determinants of the smile and highlights the predictive power of the smile which findings can be useful to market practitioners for pricing and hedging of dollar-rupee options. The study has strong practical implications during a period of increased volatility in the dollar-rupee pair.

Most of the existing literature regarding implied volatility smiles has focused either on the volatility smile of US equity index options or that of major liquid currencies. There is a need for such studies in the context of options on emerging market currencies such as the Indian rupee which are characterized by thin trading and frequent central bank intervention and signaling. To the best of the author’s knowledge this study is the first to focus on the volatility smile of exchange-traded options on the US dollar–Indian rupee.

This paper aims to propose the implied volatility index for the US dollar–Indian rupee pair (INRVIX). The study seeks to examine whether INRVIX truly reflects future USDINR (US Dollar-Indian rupee) volatility and signals profitable currency trading strategies.

Two measures of INRVIX are constructed and compared: a model-free version based on the methodology adopted by the Chicago Board of Options Exchange (CBOE) and a model-dependent version constructed from Black–Scholes–Merton-implied volatility. The proposed INRVIX is computed by tweaking some parameters of the CBOE methodology to ensure compatibility with the microstructure of the Indian currency derivatives market. The volatility forecasting ability of INRVIX is compared to that of a generalized autoregressive conditional heteroscedasticity (1,1) model. Ordinary least squares regression is used to examine the relationship between n-day-ahead USDINR returns and different quantiles of INRVIX.

Results indicate that INRVIX based on the model-free approach reflects ex post volatility in a better manner than its model-dependent counterpart, although neither measure is found to be an unbiased and efficient forecast. Subsample analysis across tranquil and turbulent periods corroborates the results. The volatility forecasting performance of INRVIX is found to be better than that of forecasts based on historical time-series. These results are consistent with similar studies of developed market currencies. The study does not find any significant relationship between extreme levels of INRVIX and the profitability of trading strategies based on such levels, which is contrary to results from the equity options market.

Foreign exchange volatility affects the costs of international trade and the external sector competitiveness of Indian multinationals. It is a significant risk factor for financial institutions and traders in the financial markets. An implied VIX for the USDINR could serve as an indicator of expected foreign exchange risk. It could thus provide a signal for a possible intervention in the forex market by the regulator. Regulators could introduce volatility derivative contracts based on the INRVIX. Such contracts would enable hedging of the pure volatility risk of dollar–rupee exposure. Thus, the study has practical implications for investors, hedgers, regulators and academicians alike.

To the author’s knowledge, this is one of a few studies to construct an implied VIX for an emerging currency like the rupee. The study is based on up-to-date sample data that includes the recent COVID-19 market crash. A novel contribution of this paper is that in addition to examining whether INRVIX contains information about future USDINR volatility, and it also examines the signalling power of INRVIX for currency trading strategies.

This paper aims to investigate the thermal performance involving larger heating rate, targeted heating, heating with least non-uniformity of the spatial distribution of temperature and larger penetration of heating within samples vs shapes of samples (circle, square and triangular).

Galerkin finite element method (GFEM) with adaptive meshing in a composite domain (free space and sample) is used in an in-house computer code. The finite element meshing is done in a composite domain involving triangle embedded within a semicircular hypothetical domain. The comparison of heating pattern is done for various shapes of samples involving identical cross-sectional area. Test cases reveal that triangular samples can induce larger penetration of heat and multiple heating fronts. A representative material (beef) with high dielectric loss corresponding to larger microwave power or heat absorption in contrast to low lossy samples is considered for the current study. The average power absorption within lossy samples has been computed using the spatial distribution and finite element basis sets. Four regimes have been selected based on various local maxima of the average power for detailed investigation. These regimes are selected based on thin, thick and intermediate limits of the sample size corresponding to the constant area of cross section, Ac involving circle or square or triangle.

The thin sample limit (Regime 1) corresponds to samples with spatially invariant power absorption, whereas power absorption attenuates from exposed to unexposed faces for thick samples (Regime 4). In Regimes 2 and 3, the average power absorption non-monotonically varies with sample size or area of cross section (A_c) and a few maxima of average power occur for fixed values of A_c involving various shapes. The spatial characteristics of power and temperature have been critically analyzed for all cross sections at each regime for lossy samples. Triangular samples are found to exhibit occurrence of multiple heating fronts for large samples (Regimes 3 and 4).

Length scales of samples of various shapes (circle, square and triangle) can be represented via Regimes 1-4. Regime 1 exhibits the identical heating rate for lateral and radial irradiations for any shapes of lossy samples. Regime 2 depicts that a larger heating rate with larger temperature non-uniformity can occur for square and triangular-Type 1 lossy sample during lateral irradiation. Regime 3 depicts that the penetration of heat at the core is larger for triangular samples compared to circle or square samples for lateral or radial irradiation. Regime 4 depicts that the penetration of heat is still larger for triangular samples compared to circular or square samples. Regimes 3 and 4 depict the occurrence of multiple heating fronts in triangular samples. In general, current analysis recommends the triangular samples which is also associated with larger values of temperature variation within samples.

GFEM with generalized mesh generation for all geometries has been implemented. The dielectric samples of any shape are surrounded by the circular shaped air medium. The unified mesh generation within the sample connected with circular air medium has been demonstrated. The algorithm also demonstrates the implementation of various complex boundary conditions in residuals. The numerical results compare the heating patterns for all geometries involving identical areas. The thermal characteristics are shown with a few generalized trends on enhanced heating or targeted heating. The circle or square or triangle (Type 1 or Type 2) can be selected based on specific heating objectives for length scales within various regimes.