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The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper.

A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models.

This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production.

In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India.

The case illustrates an entrepreneurial voyage and venture creation and through it helps in identifying the reasons and causes for that venture's failure. It also enables discussion on the importance of planning a venture, more importantly; financing, managing, growing, and ending a venture and on how to avoid the pitfalls that befall such enterprises. This case can be used in Entrepreneurship courses as well as MBA, PGP and Executive Education programmes on Entrepreneurship.

Given the detrimental effects of job content plateau, the paper aims to study the impact of job content plateau on employees’ career commitment. In doing so, the authors examine whether the lapses in job content plateau can be addressed through developmental i-deals. A final purpose is to examine whether proactive employees are better positioned to obtain work arrangements that help them develop and remain committed to their careers.

Data were collected from full-time working executives employed in different organizations. These executives enrolled in a part-time MBA program. Data was collected at different time points and analyzed using the process macro (Preacher and Hayes, 2004).

The results suggest that developmental i-deals mediated the relationship between job content plateau and career commitment. In addition, proactive employees were better disposed to seal the deal and develop themselves – helping them to stay committed to their careers.

Prior studies highlight the negative consequences of job content plateau because it does not provide avenues to learn and develop. This paper addresses the gap in locating opportunities to learn and develop (an aspect that was missing in the job content plateau) through developmental i-deals. First, the study helps answer how to address learning gaps in jobs. Second, who can capitalize on their efforts once the organization sponsors learning opportunities.

This study aims to examine the current state of academic research pertaining to the role played by artificial intelligence (AI) in the achievement of a critical sustainable development goal (SDG) – poverty alleviation and describe the field’s development by identifying themes, trends, roadblocks and promising areas for the future.

The authors analysed a corpus of 253 studies collected from the Scopus database to examine the current state of the academic literature using bibliometric methods.

This paper identifies and analyses key trends in the evolution of this domain. Further, the paper distils the extant literature to unpack the intermediary mechanisms through which AI and related technologies help tackle the critical global issue of poverty.

The corpus of literature used for the analysis is limited to English language studies from the Scopus database. The paper contributes to the extant research on AI for social good, and more broadly to the research on the value of emerging technologies such as AI.

Policymakers and government agencies will get an understanding of how technological interventions such as AI can help achieve critical SDGs such as poverty alleviation (SDG-1).

The primary focus of this paper is on the role of AI-related technological interventions to achieve a significant social objective – poverty alleviation.

To the best of the authors’ knowledge, this is the first study to conduct a comprehensive bibliometric analysis of a critical research domain such as AI and poverty alleviation.

The job content plateau (JCP) is a condition in which employees regard their jobs as routine, and it has been linked to employee turnover intentions and organisational dysfunctional consequences. As a result, the purpose of this study is to see how negative effects of JCP can be avoided.

A conceptual framework has been created and empirically tested that takes into account intervening elements such as job crafting (JCF) and proactive personality (PP) between JCP and career commitment (CC). In this study, survey data from professionals in a variety of businesses were gathered based on position level, total years of experience and educational level. To assess the efficacy of the suggested model and test the hypothesis proposition, confirmatory factor analysis and multiple regressions were used.

The study’s findings demonstrated that JCF plays a mediating function between JCP and CC, allowing proactive executives to lead their CC while minimizing JCP’s negative effects.

This study will have interesting implications and recommendations for practitioners and strategy makers when it comes to assessing the impact of JCP on enhancing career commitment among Indian executives.

This study aims to offer an overview of the models of clinical care of the patients with dual disorders in India.

All the members of the Dual Diagnosis India Network (DDIN) who shared the clinical care delivery at their center were invited to share the details of their model. In addition, an invite was also sent to those members who could not attend the online session but were interested in contributing the required information about their model. The information shared by the respondents was collated. The different models were then categorized based on their features.

Following the categorization of the clinical care services organization across different settings, five different models emerged. These were specialized dual diagnosis clinic; services for dual disorders offered as substance use disorder (SUD) treatment services within general psychiatry care; services for dual disorders in general psychiatry care; services for dual disorders offered as SUD treatment services separated from general psychiatry care; and services for dual disorders offered in general psychiatry services combined with exclusive SUD treatment services.

Currently, there is limited literature on models of dual disorders from the low- and middle-income countries. The authors believe that the documentation of these models from India shall be of help while setting up services for dual disorders in other health-care settings. This study can be a valuable resource for making informed choices while setting up new services.

Nanosized honeycomb-configured materials are used in modern technology, thermal science and chemical engineering due to their high ultra thermic relevance. This study aims to scrutinize the heat transmission features of magnetohydrodynamic (MHD) honeycomb-structured graphene nanofluid flow within two squeezed parallel plates under Joule dissipation and solar thermal radiation impacts.

Mass, energy and momentum preservation laws are assumed to find the mathematical model. A set of unified ordinary differential equations with nonlinear behavior is used to express the correlated partial differential equations of the established models, adopting a reasonable similarity adjustment. An approximate convergent numerical solution to these equations is evaluated by the shooting scheme with the Runge–Kutta–Fehlberg (RKF45) technique.

The impression of pertinent evolving parameters on the temperature, fluid velocity, entropy generation, skin friction coefficients and the heat transference rate is explored. Further, the significance of the irreversibility nature of heat transfer due to evolving flow parameters are evaluated. It is noted that the heat transference rate performance is improved due to the imposition of the allied magnetic field, Joule dissipation, heat absorption, squeezing and thermal buoyancy parameters. The entropy generation upsurges due to rising magnetic field strength while its intensification is declined by enhancing the porosity parameter.

The uniqueness of this research work is the numerical evaluation of MHD honeycomb-structured graphene nanofluid flow within two squeezed parallel plates under Joule dissipation and solar thermal radiation impacts. Furthermore, regression models are devised to forecast the correlation between the rate of thermal heat transmission and persistent flow parameters.

The purpose of this paper is to investigate the activities of environmental consciousness from socio-psychographic perspectives and hence evaluates its effect on brand equity through intervening elements of environmental attributes (EAt). It further attempts to research the effect of the environmental performance, environmental communication and environmental positioning in enhancing brand equity. Indian refrigeration industry, particularly the air conditioners and refrigerator brands are chosen to convey and receive the research inputs as their impact on environment is easily interpretable.

A hypothesized model comprising the environment consciousness and association dimensions with brand equity is framed. In total, 74 expert respondents from four state capital cities of India participated in the survey and the model has been tested in the scope of analytical hierarchy process (AHP).

The result shows that the EAt and activities can be prioritized and subsequently efficient resource allocation can be done. It also gives theoretical arguments to legitimize the environmental practices.

On the other hand, clients have numerous options, and a competitive advantage may not be maintained. Regardless of the fact that clients are environmentally conscious of a given refrigeration brand at the present time that they are utilizing, they may observe that they are much more charmed with a competitors’ enhanced environmental dimensions. All methods that take a try at an enhanced brand equity must be continually determined by environmental consciousness. The above can be accomplished if the evaluations of competitors by the clients are known. The AHP-ECBE technique depicted in this study accordingly helps refrigeration organization to devise and keep up a pertinent, focused plan for persistent improvements in environmental dimensions. It offers a “greater image” in brand equity administration.

If legitimately done in a generalized way, environmental activities like eco-literacy, interpersonal influence and value orientation can impact EAt and contribute in building brand equity.

The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).

A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.

The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.

The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.

This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.