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This study aims to develop and validate a scale to measure stakeholders' perception of mandatory corporate social responsibility (CSR) activities in the hotel industry in India.

CSR items were generated based on a qualitative approach. The underlying factorial structure of the scale is determined using exploratory factor analysis. The measurement model is verified through confirmatory factor analysis with validity checks. Additionally, the nomological and predictive validity of the proposed scale is confirmed through correlation and regression analysis.

This study proposed a three-dimensional 17-item scale comprising the environment, social and cultural domains to measure stakeholders' perception of mandatory CSR in the Indian hotel industry.

This study adds to the literature by providing a comprehensive approach incorporating CSR activities specified by law on CSR measurement. Validated CSR scales are recommended for future studies to measure CSR in India. This study may also serve as a blueprint for other countries to develop context-specific CSR measurement approaches.

To the best of the authors’ knowledge, this is the first scale development study on mandatory CSR in India. The inclusion of CSR activities prescribed by law on the standardized CSR scale development is a novel outlook.

This paper aims to investigate the customers’ response to mandatory activities as per the corporate social responsibility (CSR) laws of India in the Indian hotel industry. Further, it analyzes the influence of mandatory CSR activities of the companies on the purchase intention (PI) of customers with the mediating role of customer satisfaction (CS). It also examines the link between mandatory CSR activities and the customers’ evaluation of corporate.

The customers of five-star hotels in Kerala, India, were surveyed, and the proposed model is analyzed with factor analysis and structural equation modelling with mediation analysis.

The study proves three propositions, namely, the mandatory CSR activities influence the PIs of customers, the CS partially mediates the relationship of CSR activities on the PI of the customers and the mandatory CSR activities demonstrate a positive impact on customers’ evaluation of corporate in the Indian hotel industry.

The comprehensive CSR assessment based on hotel customers’ response by considering CSR law in India is a novel outlook. The study will aid in determining the association between mandatory CSR and PI and evaluate the role of mandatory CSR on favorable corporate evaluation.

This study aims to construct an appropriate framework by incorporating essential components from the most renowned theories to investigate the variables that impact behavioural intentions towards embracing cashless transactions (CLT).

A survey was conducted to ascertain the users’ intention to adopt CLT in Chennai, Tamil Nadu, India. Further, this study used a “partial least squares-based structural equation modelling” technique to analyse the relationships between latent factors.

The results of the proposed model revealed that 11 independent variables together explain the intention to use CLT with a 60.5% explanatory power. Further, perceived usefulness is the most influential factor in predicting users’ willingness to adopt CLT, followed by social influence, perceived costs, attitude, trust and device barriers. Finally, the findings of moderator effects indicate that income and experience interact positively and strongly with behavioural intention to adopt CLT. It indicates that high-income, experienced users are more likely to convert their intentions into actions.

This study integrated critical elements from the major theories, such as Theory of Reasoned Action, Technology Acceptance Model, Decomposed Theory of Planned Behaviour, the unified theory of acceptance and use of technology (UTAUT) model and UTAUT2, to investigate the adoption of CLT. As a result, 11 crucial factors were identified from the existing literature that impacts CLT adoption without overlapping. Consequently, the model presented in this study provides a more profound understanding than previous research regarding why individuals adopt CLT systems. Accordingly, these results could aid policymakers in addressing people’s concerns and facilitating a seamless transition to a cashless society.

The ultimate aim of this paper is to contribute an extension of the unified theory of acceptance and use of technology (UTAUT) model. The modified UTAUT provides a better explanation for the adoption of cashless transactions. However, it does not consider individuals’ perceived countries’ advantages when cashless transactions are made in the economy. Hence, this research investigates whether individuals’ perceived countries’ advantages of the cashless economy influence behavioral intentions of using cashless transactions.

A structured questionnaire has administered with 375 respondents in selected commercially vibrant places, such as Shopping Malls, big retail shops, hotels, and the like, covering the 15 zones of Greater Chennai city Corporation, India. From the 375 respondents, 325 respondents returned the filled-in questionnaire in time. For analysis, exploratory factor analyses used for underlying new latent factors from the identified variables used for measuring the individuals’ perceived countries’ advantages of a cashless economy. After identifying the latent factors, the extracted factors regressed with the intention level of using cashless transactions to validate the influence of newly identified factors.

The results of the regression analysis proved that the identified new factors, such as Perceived Economic Offense Reduction (PEOR), Perceived Economic Benefit (PEB), and Perceived Economy’s Security (PES), are positively and significantly influencing the behavioral intention of using cashless transactions.

This study’s unique contribution is the validation of a measurement scale based on individuals’ perception of countries’ advantages when cashless transactions are made in the economy. The scale development in the present study is an essential step toward the advancement of the UTAUT research model, and this study also proved that identified new latent factors such as PEOR, PEB and the PES are positively and significantly influencing individuals’ behavioral intention toward the use of the cashless transaction. Hence, this study’s result may help contribute an extension of the UTAUT model in a comprehensive view, and this extension may enrich UTAUT’s ability to explain and predict the acceptance of cashless transactions.

In recent literature, many conceptual and empirical studies have discussed the countries’ advantages resulting from cashless transactions. This study attempts to integrate those advantages as variables through measurement instruments, whether they influence the behavioral intention to use cashless transactions from the general public perspective.

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.

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.

Snack industry is one of the fastest growing food sectors globally, and people are nowadays conscious about intake of healthy snacks on regular basis. There is enormous variety of ready-to-snacks available in the market. Brown rice though highly nutritious in comparison to polished rice is consumed meagerly by masses. Each raw material/ingredient used in extrusion cooking requires specific control of processing variables to meet acceptable product characteristics and consumer demands, which in turn necessitates the need to optimize the conditions for development of brown-rice-based snacks. The aim of this study was to optimize the extrusion cooking conditions for development of brown-rice-based extrudates.

Extrusion conditions were optimized through design expert using central composite rotatable design (CCRD) experimental design. The effect of feed moisture (10–22%), screw speed (215–385 rpm) and barrel temperature (95–160 °C) on specific mechanical energy (SME), bulk density (BD), water absorption index (WAI), water solubility index (WSI), expansion ratio (ER), breaking strength (BS) and instrumental color (L*, a*, b*) was evaluated.

All the system and product responses were significantly (p < 0.01) affected by independent variables. Regression models obtained were highly significant with high coefficient of determination (R² = 0.992). The optimum extrusion conditions obtained by numerical optimization for development of snacks were moisture content of 12%, screw speed of 350 rpm and temperature of 133 °C. The vitamin B₁ content of brown-rice-based snacks was 0.45 mg/100 (50% of RDA) whereas no vitamin B₁ was detected in white-rice-based snacks used as control.

The developed snacks contain 0.45 mg/100 g of vitamin B₁. If a person on an average consumes 150 g of snacks in a day, 50% of RDA (1.2 mg/day) for vitamin B₁ can be sufficed. Therefore, developed snacks can prove to be a viable vehicle to reduce the vitamin B₁ deficiency burden among the target population. Large-scale production and consumption of such type of snacks could improve the nutritional status of vitamin B1 deficient people. Furthermore, it can also provide a good opportunity for snack industry to develop nutritious snacks through utilization of brown rice.

Brown rice flour contains nutrients such as iron, calcium, zinc, sodium and vitamin B₁ in appreciable portions and was thus explored for development of nutritious snacks. Moreover, developed snacks recorded an overall acceptability of 4.70 out of 5, which depicts it is acceptable for mass production and consumption.

The power electronic converter is used for the satisfaction of reactive power demand of induction generator, when grid-tied. This paper aims to present an application of STATCOM to reduce inrush transient caused by the connection of a squirrel-cage induction generator (SCIG) to the grid.

The power generation system consists of an uncontrolled prime mover, a SCIG and a power electronic converter connected to the grid. The three-phase Neutral Point Clamped (NPC) converter works as a STATCOM to satisfy a reactive power demand of the generator. A control scheme of STATCOM uses the x-y reference frame rotating synchronously with grid voltage vector and the p-q instantaneous power theory to calculate q component of grid power.

It is shown that the parallel converter, which works as a reactive power compensator allows decreasing transients during a grid connection of the induction generator.

Transients during a grid connection of the induction generator are only partially decreased.

It is needed to compensate for the reactive power of a SCIG. The NPC converter works as a STATCOM. The converter partially reduces grid transients during generator connection. The laboratory tests are demonstrated by connection 7.5 kW induction generator to 8 kVA transformer.

The paper presents the mitigation of grid transients during connection of induction generator with the power electronic converter working as reactive power compensator.

The relationship between corporate-level green entrepreneurial orientation (GEO) and the implementation of cleaner production practices (CPPs) is to a great extent unexplored in previous literature. This study aims to connect them with the corporate-level green supply chain learning and organizational competitive aggressiveness, presenting a novel interpretation of social ethics and morality in CPPs.

To thoroughly explore this novel relationship, this study has used PLS-SEM for examining the moderated-mediation of competitive aggressiveness and green supply chain learning.

Findings based on the data collected from 176 German firms have largely confirmed our propositions. Suggesting that there is a strong positive relationship between corporate level GEO and CPPs. Furthermore, our findings have confirmed that green supply chain learning mediates the macro-level relationship between GEO and CPPs. Moreover, it is also confirmed that the mediation of green supply chain learning in the macro-level relationship between GEO and CPPs is negatively moderated by competitive aggressiveness.

This study offers a first-hand view of negatively moderated-mediation of competitive aggressiveness. Therefore, its findings are extremely relevant for policymakers in the domain of morality, social ethics, corporate-level GEO, sustainability, corporate-level green supply chain learning and CPPs.

This paper aims to focus on the natural convective flow analysis of micropolar nanofluid fluid in a rectangular vertical container. A heated source is placed in the lower wall to generate the internal flow. In further assumptions, the left/right wall are kept cool, while the upper and lower remaining portions are insulated. Free convection prevails in the regime because of thermal difference in-between the lower warmer and upper colder region.

The physical setup owns mathematical framework in-terms of non-linear partial differential equations. For the solution purpose of the differential system, finite volume method is adopted. The interesting features of the flow along with thermal transportation involve both translational and rotational movement of fluid particles.

Performing the simulations towards flow controlling variables the outputs are put together in contour maps and line graphs. It is indicated that the variations in flow profile mass concentration and temperature field augments at higher Rayleigh parameter because of stronger buoyancy effects. Higher viscosity coefficient implies decrease in flow and thermal transportation. Further, the average heat transfer rate also grows by increasing both the Rayleigh parameter and heated source length.

To the best of the authors’ knowledge, no such study has been addressed yet. Further, the results are validated by comparing with previously published work.