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The paper focuses on bridging the existing literature gap on the role of leadership in influencing employee engagement considering the advancement in technologies. With this, the author explores how the three critical elements of service-based companies' business environment-artificial intelligence (AI) success, employee engagement, and leadership are interlinked and are valuable for raising the engagement level of employees.

A purposive sampling strategy was used to select the employees working in the respective companies. The survey was distributed to 150 senior management employees but responses were received from only 56 employees making the response rate 37.33%. Consequently, an empirical examination of these 56 senior management employees belonging to service-based companies based in Delhi NCR using a survey questionnaire was conducted.

The PLS-SEM (partial least squares structured equation modelling) revealed that AI has a positive role in affecting employee engagement levels and confirmed the mediation of leadership. The magnitude of the indirect effect was negative leading to a reduction in total effect magnitude; however, as the indirect effect model has a higher R square value, the inclusion of a mediating variable made the model more effective.

This study contributes to extending the existing knowledge of the academicians about the relationship theory of leadership, AI implementation in organizations, AI association with leadership and AI impact on employee engagement. The author extends the theoretical understanding by showing that more integration of AI-supported leadership could enable organizations to enhance employee experience and motivate them to be engaged. Despite its relevance, due to the limited sample size, focus on a specific geographic area (Delhi NCR) and the constraint of only using quantitative analysis, the findings open the scope for future research in the form of qualitative and longitudinal studies to identify AI-supported leadership roles.

The study findings are beneficial majorly for organizations to provide them with more in-depth information about the role of AI and leadership style in influencing employee engagement. The identified linkage enables the managers of the company to design more employee-tailored strategies for targeting their engagement level and enhancing the level of productivity of employees. Moreover, AI-supported leadership helps raise the productivity of employees by amplifying their intelligence without making technology a replacement for human resources and also reducing the turnover rate of employees due to the derivation of more satisfaction from existing jobs. Thus, given the economic benefit and societal benefits, the study is relevant.

The existing studies focused on the direct linkage between AI and employee engagement or including artificial intelligence as a mediating variable. The role of leadership is not evaluated. The leadership enables supporting the easy integration of AI in the organization; therefore, it has an important role in driving employee engagement. This study identifies the contribution of leadership in organizations by providing the means of enhancing employee satisfaction without hampering the social identity of the company due to the integration of AI.

This paper identifies and models the effect of eight attributes that influence hotel room rents in India. These attributes are conceptually grouped into three factors: (1) site factors including the presence or absence of a “swimming pool,” “free breakfast,” and the “hotel capacity”; (2) situational factors including, “distance from the airport,” “weekend/weekday,” “city population,” “cost of living”; and (3) a reputation factor indicated by “star rating.” Our regression model uses secondary data collected from a hotel booking website for 570 hotels across 18 cities of India. The results indicate that six out of these eight variables namely, presence of swimming pool, free breakfast, hotel capacity, distance from the airport, city population, and hotel star rating have a significant impact on hotel room rents in India.

This paper examines the decline of the largest working parliamentary democracy in India overtime, but accelerating since 2014 as the Bharatiya Janata Party (BJP), under the leadership of Prime Minister Narendra Modi at the Center (as the federal government is commonly known).

It is eclectic. Original constitution, along with commentaries, are studied. News outlets, government pronouncements, journal articles, and other media outlets — electronic and print — are also sourced.

The findings show how three important features in democracy — elections and their outcomes, control of information, and suppression of dissent are widely used to undermine constitutional democracy.

Democracy can be undermined without altering the Constitution itself. It also explains the irony of Modi’s popularity, given the undemocratic practices. As he may continue in office for some time to come, commanding a log-rolling majority, the need of the hour is a united, constructive and effective opposition to ensure a healthy working democracy.

This hypothetical case study aims to revisit the classical model given by Henri Fayol whereby he put forward a set of 14 principles to guide managers in decision-making across organizations. The case study showcases the dilemma in which the top manager of an automobile company finds himself when some of the very basic principles – on which the whole discipline of management is founded – are ignored. It will also serve as an aid for faculty members in B-Schools to teach students the significance of basic management principles postulated many years back which stand relevant even in contemporary times.

This case study is based on a hypothetical scenario in the corporate world. Different incidents in a fictitious automobile manufacturing firm are presented and the corresponding principles given by Henri Fayol are inferred.

This case study highlights that decision-making gets complicated if fundamental principles of management are not complied with. The decision taken during each and every situation which has been discussed in this case study is contrary to the correct course of action as propounded by Fayol. Modern-day managers must acknowledge the relevance and importance of these principles for achieving success in business.

This case study underscores that even in this volatile business environment where most of the management practices are technology-driven, we cannot disregard the most elementary rules of management. The managers working at different levels in the organizational hierarchy may be guided to make the right decisions in situations similar to the ones described.

This paper aims to understand the reported awareness and response of Indian corporates to climate change and explores how and why the approaches vary with ownership and industry types. The paper also evaluates whether companies' financial and climate performances are correlated.

The authors collected data from the sustainability/integrated reports, websites and carbon disclosure project (CDP) responses of top-60 companies from the 2019 Fortune India 500 list against 52 indicators designed for the purpose. Descriptive statistics, ANOVA analyses, exploratory factor analysis (EFA) and linear correlations of climate responses with annual revenue and profitability were carried out.

Private sector firms outperform public sector companies, and manufacturing industries surpass services industries. Organizations disclosing to CDP and detailing United Nations Sustainable Development Goals (UN SDGs) and SDG-13 in their reports score significantly higher (at 5%) than their counterparts. The number of positive responses is positively correlated to the revenue and profitability of the companies. EFA indicated the presence of two underlying factors responsible for the observed variances.

Businesses constitute an essential driver of growth in large economies and hence are critical for addressing the issue of climate change. The study underlines the role played by the private sector in mitigating climate change and its impacts.

This is among the first studies that comprehensively evaluate the climate responses of Indian corporates. The current study is also among the foremost studies in the Indian context that identify the underlying factors behind the observed variances and explore correlations between financial and climate performances.

Recent research on construction project management (CPM) envisions addressing wider social good while delivering value to the funding organizations. It is complemented by a growing body of knowledge on social sustainability in construction projects. These two literature streams are currently scattered and there is a lack of holistic guidance on integrating social sustainability with CPM. The current study addresses this knowledge gap through a critical review of these two bodies of literature and thereby proposing a conceptual framework for socially sustainable CPM.

A conceptual modelling approach, involving sequential steps of knowledge acquisition, and knowledge abstraction and representation, has been used. Knowledge acquisition was based on a systematic search and short-listing of research articles and knowledge abstraction was performed through thematic analysis of the 81 shortlisted articles. The categories abstracted through thematic analysis were integrated and presented as the framework.

A framework for socially sustainable CPM, consisting of four social sustainability characteristics and six areas of social sustainability integration in CPM (SSI-CPM), has been proposed. It presents possibilities of integrating social concerns in CPM processes at various levels – ranging from permanent firms that provide resources to the temporary (project) organization that delivers value.

This study seeks to bridge the gap between theory and practice of realizing social good through construction projects. To this end, a conceptual framework has been proposed along with an agenda for future research encompassing social sustainability and CPM.

Automobiles have always been a major cause of air pollution. The vehicular emission contains several harmful pollutants that affect the surroundings and living beings. Mild CO exposure leads to headaches or unconsciousness. CO is also responsible for the global warming as well. CO is mainly generated in the IC engine due to incomplete combustion of the fuel. The purpose of this paper is to implement a CO absorption mechanism inside the exhaust pipe of vehicle.

In this research work the single cylinder four stroke spark-ignition engine is intended to run on petroleum and petroleum blended fuels. A new post-combustion emission control device called cobalt scrubber is employed to reduce the emission of CO during idling which absorb and later release it under transient conditions.

The emission of CO when the engine runs at petroleum is reduced from 6.24 to 3.02 per cent. Methanol 40 per cent+petrol 60 per cent gives a better emission result of 0.98 per cent of CO emission. So, the authors can implement the cobalt scrubber in automobiles to avoid CO emission during idling.

The scrubber clearly overcomes the drawbacks of the existing control techniques. The cobalt scrubber is a cheap, non-radioactive. It can be employed in any kind of vehicle irrespective of its engine.

The use of the scrubber design presented in this article, effectively reduces the emission of CO.