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Although the term interpersonal leadership has been well established within the literature, there remains a dearth of theoretically derived models that specifically address the comprehensive nature of the underlying leader behaviors and activities. The intent of the present article is to attempt to synthesize the existent leadership models, behaviors, and factors to arrive at a coherent conceptual model of interpersonal leadership that can inform efficient and effective leadership education programs. The resulting model included 13 primary factors integrated within a hierarchical framework. Leadership educators are recommended to adopt or adapt the proposed model while developing educational curriculum and interventions.

Leadership has been deeply studied in the literature; however, little research exists studying the role of volunteer peer leaders in non-formalized leadership roles in membership-based organizations. This phenomenological study was designed to explore the experience of beef industry leaders in leadership roles. Twelve active beef industry volunteer leaders were interviewed and described their experience as leaders. Industry leadership was defined from study themes as a role fulfilled by someone who is willing to serve their industry, with the best of the industry in mind and taking on the responsibility and challenges that come along with making decisions to serve and speak for their peers with integrity. Seven themes identified the central phenomenon and seven traits of beef industry leaders were identified. This study offers significance to the field of leadership; to the beef industry; and to agricultural organizations that may guide developing future leaders.

One of the major foci of universities in relation to the educational missions is to promote the growth and development of students as leaders. This article discusses the role of academic advising as a strategic partner with classroom and extracurricular leadership development programs. To that end, this article reviews the roles of academic advising in higher education and discusses the viability of expanding these roles to include the role of advisor as leadership educator. In so doing, I provide a review of the literature related to student leadership development, discuss the similarity in advising outcomes and leadership development outcomes, and examine how the roles of academic advisors in higher education relate to leadership development as well as how advisors can become intentional leadership educators.

Collaboration and psychological safety are key factors to effective teams. LEGO® SERIOUS PLAY® (LSP) has emerged over the past decade as a development tool used in both educational and workplace settings for a range of purposes. In this study, the authors sought to investigate the impact of the experience of participating in a LSP away-day on the collaboration and psychological safety of the participants.

In this study the subjective experience of participants of LSP workshop awaydays using a coaching approach were examined through interpretative phenomenological analysis. Members of two teams were invited to participate in team awaydays and approximately six weeks later, they were invited to share their reflections on the experience and its impact on team relationships and team performance.

The interviews revealed that participants' felt experience of engaging with LSP was positive, created closer bonds within the team and a better understanding of each other and the challenges which the team were facing. Participants reported a tangible change in the way they are collaborating and engaging not only just with fellow participants but also with other colleagues.

The experience of the participants in this study supports the view that LSP can have a positive role to play in developing psychological safety and collaboration in organisational teams and that there was a lasting impact on group norms which was sustained after the event.

This study aims to explore the relationship between social commerce purchase intention and consumer psychological factors (i.e. resilience, vulnerability and personality traits) during the COVID-19 pandemic.

Drawing on social cognitive theory (SCT), an econometrical behavioral model was developed to explore the key determinants of online purchase behavior of 303 students in Greece. The research data were collected with a two-wave online survey (pre- and during the pandemic) which was distributed randomly to students in Generation Z.

A series of regression analyses revealed a positive effect of openness and a negative impact of extraversion and neuroticism on internet, Instagram and Facebook purchases during the pandemic. Findings suggest that loneliness serves as a moderator, while resilience and vulnerability have a positive effect on social media purchase behavior.

This study provides insights and implications for social commerce marketers and sheds light on the determinants of online purchase intentions of young consumers during the COVID-19 pandemic.

Elaborating on SCT, this study provides novel insights into young consumers’ internet use and online purchase behavior during the COVID-19 pandemic (i.e. longitudinal approach), by focusing on consumer vulnerability and resilience while also embedding personality traits and mental health aspects (i.e. loneliness levels during the pandemic).

The interconnections between climate change and health are well studied. However, there is a perceived need for studies that examine how responses to health hazards (e.g. cardiovascular diseases, ozone layer effects, allergens, mental health and vector-borne diseases) may assist in reducing their impacts. The purpose of this paper is to review the evidence on health responses to climate hazards and list some measures to address them.

A mixed literature review, bibliometric analysis and an original online survey were undertaken on 140 participants from 55 countries spread across all geographical regions.

The bibliometric analysis identified that most climate-related health hazards are associated with extreme weather events. However, only one-third of the investigated papers specifically analysed the connections between climate change and health hazards, revealing a thematic gap. Also, although Africa is highly affected by climate change, only 5% of the assessed studies focused on this continent. Many respondents to the survey indicated “heat distress” as a significant vulnerability. The survey also identified social determinants relevant to climate-induced health vulnerabilities, such as socioeconomic and environmental factors, infrastructure and pre-existing health conditions. Most respondents agree that policies and regulations are the most effective adaptation tools to address the public health hazards triggered by climate change. This paper presents some suggestions for optimising public health responses to health hazards associated with climate change, such as the inclusion of climate-related components in public health policies, setting up monitoring systems to assess the extent to which specific climate events may pose a health threat, establishing plans to cope with the health implications of heatwaves, increased measures to protect vulnerable groups and education and awareness-raising initiatives to reduce the overall vulnerability of the population to climate-related health hazards. These measures may assist the ongoing global efforts to understand better – and cope with – the impacts of climate change on health.

The combination of a literature review, bibliometric analysis and an original world survey identified and presented a wide range of responses.

This paper aims to demonstrate methods that sustainability-conscious brands can use to include their primary producers in the measurement and reporting of the environment and sustainability performance of their supply chains. It explores three questions: How can farm businesses provide information required in sustainability reporting? What are the challenges and opportunities experienced in preparing and presenting the information? What future research and policy instruments might be needed to resolve these issues.

This study identifies and describes methods to provide the farm-level information needed for environmental performance and sustainability reporting frameworks. It demonstrates them by compiling natural capital accounts and environmental performance information for two wool producers in the grassy woodland biome of Eastern Australia; the contrasting history and management of these producers would be expected to result in different environmental performances.

The authors demonstrated an approach to NC accounting that is suitable for including primary producers in environmental performance reporting of supply chains and that can communicate whether individual producers are sustaining, improving or degrading their NC. Measurements suitable for informing farm management and for the estimation of supply chain performance can simultaneously produce information useful for aggregation to regional and national assessments.

The methods used should assist sustainability-conscious supply chains to more accurately assess the environmental performance of their primary producers and to use these assessments in selective sourcing strategies to improve supply chain performance. Empirical measures of environmental performance and natural capital have the potential to enable evaluation of the effectiveness of sustainability accounting frameworks in inducing businesses to reduce their environmental impacts and improve the condition of the natural capital they depend on.

Two significant social implications exist for the inclusion of primary producers in the sustainability and environmental performance reporting of supply chains. Firstly, it presently takes considerable time and expense for producers to prepare this information. Governments and members of the supply chain should acknowledge the value of this information to their organisations and consider sharing some of the cost of its preparation with primary producers. Secondly, the “additionality” requirement commonly present in existing frameworks may perversely exclude already high-performing producers from being recognised. The methods proposed in this paper provide a way to resolve this.

To the best of the authors’ knowledge, this research is the first to describe detailed methods of collecting data for natural capital accounting and environmental performance reporting for individual farms and the first to compile the information and present it in a manner coherent with the Kering EP&L and the UN SEEA EA. The authors believe that this will make a significant contribution to the development of fair and standardised ways of measuring individual farm performance and the performance of food, beverage and apparel supply chains.

Extensive work related to examining predictors and determinants of employee engagement and job performance have been conducted in past studies. A dearth of studies relating organizational culture and employee engagement with contextual and task performance in the hospitality industry necessitated the present study. This study aims to examine variability in the task and contextual performance owing to employee engagement and organizational culture.

The study has been conducted in four districts of Himachal Pradesh using a multistage sampling technique. A total of 360 hotel employees were involved in collecting their responses through a structured questionnaire.

The results of multiple regression showed that vigor, dedication and absorption variables of employee engagement contribute toward contextual performance. Vigor and absorption affect the task performance of employees. In the case of contextual performance vigor shows maximum contribution followed by absorption and dedication whereas for task performance, the maximum contribution is exhibited by absorption followed by vigor. Organizational culture sub-variables of experimentation, autonomy and trust came out to be major predictors, which help to improve contextual and task performance of employees.

The study suggests that psychological ownership, along with trust toward top management can create an enriched work culture, which influenced both the contextual and task performance of employees. The findings of the study can be practically used by government and private organizations for improving workforce performance in the hospitality industry. Future research can be conducted based on the findings of the study.

The study provides insight on how and to what extent cultural and employee engagement variables can affect employee’s contextual and task performance. The present study adds value to the existing literature and investigates the role of culture and employee engagement in enhancing task and contextual job performance. Managers and policymakers can use the findings of the study to improve organizational culture, employee engagement and performance of the employees in the hospitality sector. The study opens avenues for future studies.

This study aims to investigate affective commitment (ACS) and leader–member exchange (LMX) as resources mitigating against burnout and counterproductive work behaviours (CWBs) in the hospitality sector, and examines the effect of zero-hour contracts on these relationships.

Through conservation of resources theory, this study tests a framework exploring ACS and LMX as resources against burnout and CWBs, using a data set of 260 frontline hospitality employees working in Ireland, considering zero-hour contracts as a moderator.

Findings indicate that burnout is associated with CWB, and ACS and LMX are resources against burnout and CWB. Furthermore, zero-hour contract perceptions moderate the resource effect of ACS and LMX. Yet, zero-hour contract perceptions do not moderate the relationship between burnout and CWB, indicating these employees may be caught in a resource-loss spiral.

This study proposes mechanisms to enhance resources against burnout, with specific strategies to support young employees who are more likely to experience burnout. As findings suggest unique negative impacts of burnout for employees on zero-hour contracts, this paper also provides guidance to support these vulnerable employees.

This study provides unique insights into hospitality employees’ ability to harness resources against burnout and CWB consequences of burnout. The results indicate that perceived precarity does not moderate these relationships, suggesting that burnout affects this cohort differently.

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.