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To deal with highly energetic younger generation patiently, need academicians who can spread happiness while teaching/mentoring are needed. This is possible when an academician himself is a happy person. This paper aims to explore the factors that generate happiness among academicians, studies the impact of demographic variables on academicians’ happiness and examines the relationship between academicians’ happiness and their performance.

Convenience purposive sampling method was used to obtain data through self-administered survey questionnaire based on a five-point Likert scale, delineating the research purpose and assurance of confidentiality. For data analysis, statistical techniques like mean, percentage method, Levene’s test, t-test and analysis of variance were used. To study the relationship between performance and happiness, the attitude, motivation and outcome theory was applied and happiness index was developed.

After analyzing the various factors impacting academicians’ happiness, this study found that except for work–life balance, research activities and working environment, all other factors are available to academicians according to their ranked importance assigned to them. This study also obtained a happiness index using matrix and has developed an equation which can be applied to find out the relationship between happiness and performance in future.

This study has certain limitations, first, this study has been conducted on academicians working in higher education institutes situated in Delhi/NCR and thus entails a specific socio-cultural environment that may limit the potential level of generalization.

The results of this research might help institutes/higher education bodies to make rules and policies which may further augment academicians’ happiness to accomplish their desired goals.

An academician who is happy, satisfied and motivated can easily deal with today's enthusiastic younger generation and can spread happiness amongst them. so it is very much necessary for an academician to be happy and energetic all the time.

This study found the factors impacting higher education academicians’ happiness and its impact on their teaching performance.

This paper aims to consider whether ethical persuasion can be part of public relations practice.

The paper contends that the critical issue for practitioners is not whether they engage in persuasion, but whether they do so ethically. Accordingly, a definition of ethical persuasion is derived by examining unethical propaganda. The paper then considers what standard might be used to assess the ethics of persuasion. The notion of “the public interest” – ubiquitously linked to ethical practice in public relations – is considered but found to be too elusive to guide the practice individual practitioners. Other more assessable standards are identified, as is a guiding approach to ethics. The approach to ethics adopted in this paper is rule utilitarianism. The methodology of this paper is deductive and derivative analysis, argument and synthesis, drawn from a broad body of literature.

Persuasion can be ethical, and a definition of ethical persuasion is proffered. The public interest is not a standard that individual practitioners can determine, decide, know, or apply to assess the ethics of their practice. Ethical persuasion can, however, be assessed using other standards, discussed in the paper. Consequently, a set of criteria and standards to practicing ethical persuasion is developed.

The paper does not extend into a discussion of practical persuasive techniques. Therefore, an extension of this examination could consider a thorough assessment of the ethics of practical persuasive communication techniques.

Directly relevant to the daily work of public relations practitioners, communicators, adertisers and marketers, who are interested in acting ethically. The paper provide a basis for a guide to assessing the ethics of persuasive practice.

This paper confronts both the question of whether practitioners can use the notion of the public interest to assess the ethics of practice, and also what constitutes ethical (and unethical) persuasion, and considers how persuation can be used ethically.

Amidst the new realities of the modern world, a happy and satisfied workforce has become a necessary requirement for organizations to maintain their competitive edge. While most of the available literature revolves around positive organizational behaviour, there is dearth of research on the influence of interpersonal forgiveness on affect and life satisfaction in employees. Keeping this precept in mind, this study aims at bridging this gap in research by developing and testing a mediation model to examine the link between interpersonal forgiveness to affect and life satisfaction.

The sample consists of 378 employees working in different Indian manufacturing organizations. To test the hypotheses, structural equation modelling was applied.

The results reveal that interpersonal forgiveness significantly influences life satisfaction and affect partially mediates this relationship in employees.

The study recommends that organizational development practitioners and human resource professionals focus on forgiveness among co-workers to foster a balanced affect and enhanced life satisfaction by developing and implementing positive psychological interventions and practices. This can help organizations in regulating interpersonal transgressions and conflicts at an early stage and also make the employees happy and satisfied.

This study offers concrete insights into the complicated interplay of affect in the link between interpersonal forgiveness and life satisfaction in the yet underexplored context of Indian organizations.

The concept of grit has been receiving increased attention in recent years. Grit is a trait that enables individuals to persevere while facing challenges and obstacles in life, sometimes “winning at any cost”. The purpose of the study is to understand how ethical views may vary among different groups of people segmented on grittiness. Our key argument is that grittier segment is more inclined towards Machiavellian factors (amorality, desire for control, desire for status, distrust of others) and materialism.

Data derived from self-administered questionnaires completed by convenience samples of Indonesians living in Daerah Istimewa Yogyakarta (DIY), a region commonly considered as the miniature of Indonesia. Turning to market segmentation tools (n = 467), we first segment people based on their level of grittiness and, subsequently, investigate each segment's perception towards various Machiavellian factors (amorality, desire for control, distrust of others) and materialistic attitudes.

The study identified three segments of grittiness: The Least Gritty (the Good), The More Gritty (the Bad) and The Most Gritty (the Ugly). The results of this study showed the dark side of grit. Individuals with higher grit traits are more likely to behave unethically which could be referred to as “bad” and “ugly”. To help them succeed, cheating and lying are more likely considered acceptable by gritty individuals compared to less gritty “good” individuals.

Merely focussing on grit–be it grit promotion or training–may produce individuals who achieve success at all costs and disregard ethical values. An implication from the study is not to discourage developing grit in individuals but instead to add and emphasise ethical components. This implication is especially critical for educators and managers developing grit as a part of their activities.

The results of this study will have important theoretical implications and managerial implications educators balancing the consequences of teaching grit, but also for managers interested in understanding employees' level of grit within their workplaces along with ethical considerations.

Discusses an action learning program conducted in the Workers Compensation Board of Alberta. Presents five core concepts in the design and implementation of the program. Discusses the nature of the partnership which needs to exist between client and provider for an action learning intervention to be successful. Suggests further reading on action learning.

This research aims to study the students' perspectives on synchronous and asynchronous learning during the COVID-19 Pandemic. Both synchronous and asynchronous learning approaches used in online education have positive and negative outcomes. Hence, the aim is to study online education's positive and negative consequences, reflecting sync and async approaches. This research followed a mixed research approach. The key stakeholders of this research are the Indian educational institutions and students.

This research collected data from the students undergoing synchronous and asynchronous learning amidst the COVID-19 Pandemic. The data were collected (N = 655) from various students taking online classes during the pandemic. A questionnaire survey was distributed to the students through online platforms to collect the data. In this research, the authors have collected data using simple random sampling, and the same has been used for data analysis using SPSS version 26. The collected data were exposed to a factor analysis using a principal component analysis technique to reduce the vast dimensions.

The study findings show that synchronous learning is sometimes stressful, placing more responsibility on students mainly because of the increased screen time. At the same time, asynchronous learning allows the students to self-explore and research the topics assigned to them. Students also felt that asynchronous activities create a burden because of many written assignments to be submitted within a short period. Overall, the COVID-19 pandemic has been challenging for the students and the teachers. However, teachers have helped students to learn through digital platforms. The majority of the respondents opined that technological disruptions and death in the family circle had been significant reasons for not concentrating during online classes. However, the combination of synchronous and asynchronous learning has led to a balanced education.

Higher education has undergone multiple transformations in a short period (from March 2020, 2021 and beyond). Educational institutions underwent a rapid transition in remote teaching and learning in the initial stages. As time progressed, educational institutions did course navigation where they relooked into their course plans, syllabus and brought a structural change to match the pandemic requirements. Meanwhile, educational institutions slowly equipped themselves with infrastructure facilities to bring academic integrity. At present, educational institutions are ready to face the new normality without disrupting services to society.

Educational institutions create intellectual capital, which is important for the development of the economy. In the light of COVID-19, there are new methods and approaches newly introduced or old methods and approaches, which are reimplemented, and these approaches always work for the benefit of the student community.

The authors collected data during the COVID-19 pandemic; it helped capture the students' experience about synchronous and asynchronous learning. Students and faculty members are newly exposed to synchronous and asynchronous learning, and hence, it is essential to determine the outcome that will help many stakeholders.

This paper aims to study the extent of use of artificial intelligence (AI) in the modern organization; to comprehend the changing nature of future jobs in the context of application of AI; and to study the impact of AI on the economy of the country with special reference to the job market. Given the critical scenario of labor intensive Indian economy, the paper intends to show how AI shall affect rather coexist with human intelligence or labor.

The research on implementation of AI in different industries and its effect on job market are at a nascent stage. There is a dearth of literature. Hence, this study followed a qualitative approach to have a better understanding of the research questions as Bhattacherjee (2012) confirms that employing an interpretive paradigm (qualitative analysis as the analysis of data, e.g. data from interview transcripts) is the more productive way to study social order and that it is achieved through “subjective interpretation of participants involved, such as by interviewing different participants and reconciling differences among their responses using their own subjective perspectives”. Sample selection: The selection technique utilized is purposive sampling. The respondents in this research are the general managers and HRs from different companies. A total of 14 senior professionals from various sectors were approached for the interview out of which seven people gave their consent to take interview. Seven senior HR professionals, mainly general managers and HRs from various sectors viz. oil and gas sector, manufacturing, healthcare, construction, media, power and energy and retail were interviewed to understand how they are using AI in their respective fields. Inclusion Criteria: (1) Generally, the people covered under the research are from the decision-making level of their companies so they are in a position to give strategic perspective as well as day to day implication of implementation of AI. (2) Respondents have adequate knowledge of the respective industry to which they belong. (3) Respondents have reasonable industry of dealing with Human Resource Management and national economy as a whole assessment tool and its administration procedures. A narrative approach was adopted to have a better understanding of the research questions and comprehend their views regarding implementation of AI in their respective companies. A semi structured open ended interview was administered to steer the discussion around the research questions. The respondents were interviewed over the phone and each respondent shared their stories. Analysis of data: The narrations were then transcribed by online transcriber website otter.ai.com. The common keywords as prescribed by the website are as: AI, strategy, learning and implementation. The extracts of the discussions are noted in the next segment of the paper. As and when required this research also used secondary data from the journals, literature available in the websites to understand the implementation of AI globally.

A country where the government itself admits 90% of its workforce belongs to informal sector and conspicuously exits a multi-faceted stark digital divide (Huberman, 2001; DiMaggio et al., 2001; Guillen, 2006; Servon, 2002) wherein gap of digital divide is significant between the rural and urban India (Dasgupta et al., 2002; Nath, 2001; Singh, 2007; Mahajan, 2003; Dutta, 2003) talking of educating, applying and implementing AI seems to be “ a distant dream” but an “ambiguous ambition ”

Prior to implementation of AI that India has to ensure, the basic hygiene factors of informal sector labor force like social security, 2008, low wages and lack of legal protection, unpaid overtime and occupational health problems, poor bargaining power, working without leave under coercion, child care issues and health ailments(for which mere legislation or statutarization is just a formality executed than taking real action) to take the majority of Indian workforce to attain the motivational factor to acquire the knowledge and skill of AI and to implement it.

The AI and its adoption are still at their embryonic stage in Indian companies. With the adoption of such sophisticated technology, in one side, the organizations are dreaming of efficiency, higher productivity and better organizational performance whereas on the other side requirement of changing skill sets and decreasing manpower, creating fear among the mass, which results in hard resistance against the implementation process of AI. On the other hand, lack of expertise and high cost of adoption is also hindering AI to implement in the organizations. The adoption and implementation stage of AI vary from organization to organizations, as well as functions to functions. While the marketing departments of several organizations are using advanced level of AI, there, the HR departments are using AI at the very initial stage. But it is evident from the above discussions that adoption of AI in business functions is inevitable and only it is a matter of time. With the COVID-19 pandemic this has become the utmost necessity for many organizations, particularly who works across the globe. HR partners of the businesses are also adopting AI at a fast pace to do away with the mundane works and deliver efficient services to the stakeholders. It is understood from the discourse that the prerequisite for a successful implementation of AI across the industries throughout the country, needs a concerted effort from industries, academia and government.

The answer lies in Keynesian economics. The central tenet of which is government intervention rather investment to stabilize and progress the economy by way of spreading Internet connectivity, basic literacy and computer literacy, then only truly AI can be effective in a greater scale.

A study on application of artificial intelligence in the pandemic era from a wider perspective, this work is an empirical investigation into the benefits and limitations of artificial intelligence for human potential and labour -intensive pandemic ridden Indian economy.

This paper aims to study the efficacy of the business model (BM) diagram in the companies’ integrated reports. Diagrams and graphics are an effective way of communicating the complex processes of a business. However, these diagrams should have complete and appropriate content in a gist for easy understanding.

A study of BM diagrams published in the integrated reports of 65 Indian listed companies was carried out. The contents of these diagrams were compared to the requirement of BM as per the international <IR> framework.

While companies presented the BM diagram, there seemed to be a lack of clarity in the definitions of input, output and outcome capitals. Measurable metrics that give a clear understanding regarding the use and generation of resources were missing. The diagram was presented with some information because it had to be, but the purpose of the BM, which is the core of <IR>, was not conveyed. Also, the diagram did not display value creation or erosion effectively.

To the best of the author’s knowledge, this is one of the first studies on the BM diagram in the <IR> space. It emphasises that the diagram can capture the value-creation aspect of the <IR>. Thus, the BM diagram can be used as an effective and concise communication tool for the users of this report.

As they say, “Change is the only constant.” Thriving and surviving during a period of extraordinary collision of technological advances, globalization, and climate change can be daunting. At any given point in one’s life, a transition can be interpreted in terms of the magnitude of change (how big or small) and the individual’s ontological experience of change (whether it disrupts an equilibrium or adapts an emergent way of life). These four quadrants represent different ways to live in a highly dynamic and complex world. We share the resulting four-quadrant framework from a quantitative and a mixed methods study to examine responses to various ways we respond to transitions. Contingent upon these two dimensions, one can use a four-quadrant framework to mobilize resources to design a response and hypothesize a desired outcome. Individuals may find themselves at various junctions of these quadrants over a lifespan. These four quadrants provide “requisite variety” to navigate individual ontology as they move into and out of fluid spaces we often call instability during a time of transition. In this chapter, we identified social, cognitive, psychological, and behavioral factors that contribute to thriving transition experiences, embracing dynamic stability. Two new constructs were developed, the first measures the receptivity to change, Transformation Quotient (TQ) and second measures the range of responses to transitions from surviving to thriving, Thriving Transitional Experiences (TTE). We hope our work will pave the way for Thriving to become a “normal” outcome of experiencing change by transforming the lexicon and expectation of engaging with transitions.