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This study investigates the relationships of visitors’ recreational experiences and their future behavior for the wildlife destinations of Assam, a North-Eastern state of India.

Recreational experiences have been measured through the visitors’ perceptions on various destination characteristics. The future behavior of the visitors is measured by considering two indicators in the forms of revisit and recommendation to others. Primary data, collected from two wildlife destinations have been analyzed by using structural equation modeling technique.

The empirical results have revealed the influence of destination characteristics on visitors’ future behavior, where perceptions mediate the relationship.

The findings suggest the adoption of policies to create positive perceptions on destination attributes and product oriented promotional strategies toward making wildlife destinations more competitive. The study also provides implications for tourism literature by suggesting an integrative approach for better understanding of tourists’ future behavior.

The study is based on primary data collected from two wildlife destinations of Assam. The investigation will help to adopt policies to make wildlife destinations more competitive.

This paper aims to analyze the economic viability of jatropha plantation in North East India.

Economic viability is measured through the net present value and the benefit–cost ratio (BCR) at four different production standards along with four different prices of jatropha seed.

At a very low price and small production, jatropha plantation is economically not feasible. However, when the price of seed increases from INR 5 to 8, BCRs become greater than 1, provided that the discount rate is less than equal to 8 per cent. The minimum threshold of BCR indicates that the threshold of 1.5 BCR at a production level of 1.5 tons/ha can be achieved with a combination of seed price of INR 10 per kg and a discount rate of 1 to 3 per cent. Thus, jatropha cultivation is economically viable but not highly profitable.

Present study analyzes the economic viability of jatropha plantation from purely financial point of view. Social cost and benefit of energy crop plantation is not included in the study. This suggests to adopt social cost–benefit analysis to evaluate the overall feasibility of plantation crops in future studies.

This paper contributes to the academic literature of economic viability of energy plantation crops. Economic viability of jatropha plantation is shown in different cost and revenue conditions with statistical evidences.

The purpose of this paper is to examine whether the emotions and sentiments related to the outcome of the sporting event influence the investment making process.

This study uses the data on stock prices of firms sponsoring the Indian premier league (IPL) teams and data on Indian stock market. The event-study frameworks along with autoregressive moving average and GMM regression are employed to empirical quantify the impacts of the performance of the IPL teams on the stock market returns of the sponsors’ stocks and response of Indian stock market to the outcome of T-20 international matches.

The paper finds that the team winning IPL title in a season has a positive impact on the returns of the sponsors’ stocks of a particular team, whereas loss of team has a negative impact on returns. The outcome of the cricket matches played by team India in the T-20 has a negligible effect on the Indian stock market.

The finding of the study implies the coexistence of emotions and rationality at different points in time and the relevance of adaptive market hypothesis to explain such time-varying behavior.

The present investigation is first of its kind to test whether the performance of the IPL cricket team can influence the stock returns of the sponsors. This research shows that sentiment related to sports event such as cricket influences the decision-making process and thus affects underlying stock prices.

This study aims to examine the moderating effect of intellectual capital (IC) in the relationship between board characteristics and firm performance of non-financial firms listed on the Pakistan Stock Exchange (PSX) from 2010 to 2019.

The modified value-added intellectual capital (MVAIC) was used to assess the efficiency of sample firms’ IC, which is a modified version of Pulic’s (2000) model VAIC that includes an additional component, rational capital efficiency. Board size, independence, board meetings, chief executive officier duality and board gender diversity are all measures of board characteristics. Firm performance is measured through return on assets, return on equity and earnings per share. The Hausman test was used to select the best model for the study.

Based on the regression results, the board’s gender diversity and duality have a significant inverse relationship with profitability. In terms of the impact of board characteristics on IC, it is discovered that board independence and diversity are significantly inversely related to IC. Furthermore, IC is significantly related to profitability by all means. In terms of the moderating effect of IC, the findings show that IC significantly moderates the negative relationship between duality and profitability, as well as board gender diversity and profitability.

This study made some policy recommendations to policymakers. Duality should be avoided in PSX firms because it is significantly inversely related to profitability and IC. Second, female board participation should be subjective. Third, because the findings indicate that Pakistani firms lack true board independence, the Securities and Exchange Commission of Pakistan should take additional steps to ensure that the board is truly independent.

To the best of the authors’ knowledge, this is the first study of its kind to study the moderating effect of IC between corporate governance and firm performance.

The present study spotlights the single and multicriteria decision-making (MCDM) methods to determine the optimal machining conditions and the predictive modeling for surface roughness (Ra) and cutting tool flank wear (VB) while hard turning of AISI 4340 steel (35 HRC) under dry environment.

In this study, Taguchi L16 design of experiments methodology was chosen. The experiments were performed under dry machining conditions using TiSiN-TiAlN nanolaminate PVD-coated cutting tool on which Taguchi and responses surface methodology (RSM) for single objective optimization and MCDM methods like the multi-objective optimization by ratio analysis (MOORA) were applied to attain optimal set of machining parameters. The predictive models for each response and multiresponse were developed using RSM-based regression analysis. S/N ratios, analysis of variance (ANOVA), Pareto diagram, Tukey's HSD test were carried out on experimental data for profound analysis.

Optimal set of machining parameters were obtained as cutting speed: at 180 m/min., feed rate: 0.05 mm/rev., and depth of cut: 0.15 mm; cutting speed: 145 m/min., feed rate: 0.20 mm/rev. and depth of cut: 0.1 mm for Ra and VB, respectively. ANOVA showed feed rate (96.97%) and cutting speed (58.9%) are dominant factors for Ra and VB, respectively. A remarkable improvement observed in Ra (64.05%) and VB (69.94%) after conducting confirmation tests. The results obtained through the MOORA method showed the optimal set of machining parameters (cutting speed = 180 m/min, feed rate = 0.15 mm/rev and depth of cut = 0.25 mm) for minimizing the Ra and VB.

This work contributes to realistic application for manufacturing industries those dealing with AISI 4340 steel of 35 HRC. The research contribution of present work including the predictive models will provide some useful guidelines in the field of manufacturing, in particular, manufacturing of gear shafts for power transmission, turbine shafts, fasteners, etc.

This paper examines the influence of facilitators and barriers on employees’ preference to work in a hybrid model. The study uses the theoretical lens of stimulus-organism-response (SOR) and dual factor theory (DFT). It examines the influence of health consciousness (stimulus), facilitators (e.g. work flexibility, work–life balance and team building) (organism) and barriers (e.g. pandemic and travel stressor and role overload [organism] on employees’ preference to work in a hybrid model) (response). Further, it tests the moderating influence of organizational culture.

A questionnaire survey was conducted among employees in India, Sri Lanka and Germany, obtaining 281 usable questionnaires. Structural equation modeling (SEM) using Warp PLS 7.0 was used as the analytical technique to examine the model fit and test hypotheses.

The findings reveal that health consciousness is essential in enhancing facilitators and motivating employees to prefer a hybrid working model. The study’s findings also prove the positive influence of work flexibility, work–life balance and team building as facilitators. The results suggest that pandemic and travel stressors inhibit employees’ preference for working in a hybrid model.

The study is based on a cross-sectional research design to generalise the findings. Future researchers can utilize longitudinal design to decipher the variation in response over time. The study has developed a model combining SOR with DFT; the authors suggest that future researchers use other theories in combination with SOR, like self-determination theory (SDT), to decipher the influence of intrinsic and extrinsic motivation of employees in the context of the hybrid working model.

This study identifies the need for open communication with the employees to overcome their concerns regarding the hybrid working model. The study also suggests that human resource (HR) managers need to prioritize the task that needs to be accomplished from the office versus working from home. The authors recommend various measures, like water cooler breaks and a buddy system, to motivate employees to work in a hybrid model.

This study is among the first studies focused on the hybrid working model. The current study adds to the limited literature on the facilitators and barriers of working in a hybrid work model.

In milling process the surface roughness and delamination are the most important performance characteristics, which are influenced by many factors like fibre orientation angle, helix angle, feed rate and spindle speed. The selection of these parameters at optimum level plays a vital role in getting minimum surface roughness and delamination factor. The purpose of this paper is to present multi-objective optimisation of Computer Numerical Control milling parameters using Grey-Taguchi method to get minimum surface roughness and delamination factor in machining of glass fibre reinforced plastics (GFRP) composites used in automotive, aircraft and manufacture of space ships.

The experiments are designed and conducted based on Taguchi's L₂₇ orthogonal array by taking fibre orientation angle, helix angle, feed rate and spindle speed at three levels and responses are surface roughness and delamination factor. Taguchi's signal-to-noise (S/N) ratio are determined based on their performance characteristics. A Grey relation grade is obtained by using S/N ratio. Based on Grey relational grade value, optimum levels of parameters have been identified by using response table and response graph.

Optimum levels of parameters for GFRP composites have been identified by using response table and response graph and the significant contributions of controlling parameters are estimated using analysis of variance.

The combined effect of fibre orientation angle and helix angle during milling of GFRP composites using Grey relational analysis has not been previously attempted for analysis.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.