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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.

The purpose of this Real Impact Viewpoint Article is to analyze the quiet quitting phenomenon from the human capital management perspective.

The methods comprise the analysis of 672 TikTok comments, the use of secondary data and literature review.

Quiet quitting is a mindset in which employees deliberately limit work activities to their job description, meet yet not exceed the preestablished expectations, never volunteer for additional tasks and do all this to merely maintain their current employment status while prioritizing their well-being over organizational goals. Employees quiet quit due to poor extrinsic motivation, burnout and grudges against their managers or organizations. Quiet quitting is a double-edged sword: while it helps workers avoid burnout, engaging in this behavior may jeopardize their professional careers. Though the term is new, the ideas behind quiet quitting are not and go back decades.

Employees engaged in quiet quitting should become more efficient, avoid burnout, prepare for termination or resignation and manage future career difficulties. In response to quiet quitting, human capital managers should invest in knowledge sharing, capture the knowledge of potential quiet quitters, think twice before terminating them, conduct a knowledge audit, focus on high performers, introduce burnout management programs, promote interactional justice between managers and subordinates and fairly compensate for “going above and beyond.” Policymakers should prevent national human capital depletion, promote work-life balance as a national core value, fund employee mental health support and invest in employee efficiency innovation.

This Real Impact Viewpoint Article analyzes quiet quitting from the human capital management perspective.

Although the coronavirus (COVID-19) pandemic appears to disproportionately affect those in informal employment, they often receive less government support than the formally employed. This paper considers definitions of the informal economy and informal employment, explores the rationale for participating in the informal economy and reflects on some effects of the pandemic on these workers.

The paper presents a narrative literature review with analysis of the selected academic and policy literature.

There are considerable short- and long-term implications of the pandemic for informal employment and the informal economy. This occurs against the background of unresolved tensions arising from informal workers' desire for more employment security and employers' striving for continued labour flexibility while transferring costs to government and workers. The COVID-19 pandemic might accelerate current trends and force new solutions to better protect basic work security while helping organisations to remain competitive. Government policies supporting work safety, income security, moves to formalisation of employment and fairness for informal employees are particularly important.

As statistical and qualitative evidence is currently limited, it is too early to identify the full effects of COVID-19 on employment in the informal economy.

The results suggest that governments need to carefully consider explicit support for those in informal employment to create fair, resilient and ethical structures for workers, businesses, economies and wider societies.

The paper identifies some of the social implications of COVID-19 for the informal sector.

The analysis offers initial insights into the impacts of a major health, economic and social shock on informal working.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

The purpose of this paper is to challenge the default portrayal of street trade as an informal occupation and spatial practice, by examining comparatively the changes in the regulatory frameworks of two politically distinct city administrations in Latin America since the introduction of the informal economy debate.

This paper draws from a comparative case study design to synthesize evidence from historical administrative records, secondary research and materials from a two-year fieldwork carried out in Lima and Bogotá in 2008 and 2009.

The author argues that the incorporation of the informal economy framework into local governments’ policymaking has reframed street trade as a subject of policy. Since the 1970s, the author traces a shift from worker-centered initiatives, through the deregulation of street trade, to entrepreneurial-centered approaches. Nowadays, both, Lima’s neoliberal governance focusing on “formalizing” and Bogotá’s socialist/progressive governance aiming at “upgrading” street trade respond more explicitly to distinct assessments about the informal economy – legalist and dualist, respectively. Yet, both cities converge in that the closer street trade is perceived as an informal occupation; the more likely policy initiatives decouple the right to work from the right to access public space, spurring more marginal forms of street vending.

Even though the informal economy framework has helped to draw attention to important policy issues locally, nationally and internationally, this paper calls for a critical revision of such framing at the local level to allow for inclusive urban governance.

This paper evaluates how the first job when individuals entered the labor market affects the probability of youth being currently employed in formal or informal work in Bangladesh.

The analysis is based on data from the ILO School-to-Work Transition Surveys. The authors use a full-information maximum likelihood approach to estimate a two-equation model, which accounts for selection into the labor market when estimating the impact of entry status on current work outcomes. The main equation outcome follows a multinomial distribution thus avoiding a priori assumptions about the level of individual’s utility associated with each work status.

The authors find that entering the labor market in a vulnerable employment position (i.e. contributing family work or self-employment) traps into vulnerable employment and prevents the transition to both informal and, especially, formal paid work. This finding holds when accounting for endogeneity of the entry status and it is valid both in the short and in the long run. Young women are less likely to enter the labor market, and once entered they are less likely to access formal paid wok and more likely to being inactive than young men. Low education anticipates the entry in the labor market, but it is detrimental for future employment prospects.

The findings indicate the presence of labor market segmentation between vulnerable and non-vulnerable employment and suggest the endpoint quality of the school-to-work transition is crucial for later employment prospects of Bangladeshi youth.

This paper aims to describe and explain women's labor participation in the public sector, particularly at the local level. The paper analyses the representation of women employees in the public sector through a case study of a city council in a mid-sized Spanish city. The authors delve into the extent of gender labor discrimination in public administration, exploring a diversity of situations, experiences, and perceptions of women workers in female, neutral, and male-dominated areas in the local administration.

The authors have applied a combined methodology of quantitative analysis based on an exhaustive analysis of the list of job posts, and qualitative analysis from the narratives of women workers in biographical interviews, in women-dominated, neutral and male-dominated areas.

The authors conclude by providing a clear description of women's representation in local administration. Despite the institutional efforts in applying gender equality norms and public policies in administration, employment and labor market, this article shows the persistent inequality in employment within the administration. The paper demonstrates that public administrations can be seen as gender regimes that tend to reproduce inequality by formal and informal dynamics. This inequality gender reproduction in a supposedly gender-neutral administration reflects discrimination in a labor market. The paper details phenomena relating to horizontal occupational segregation, glass ceilings, sticky floors, and the undervaluing of women's work, among other phenomena.

The administration should consider two essential factors that endanger gender equality: (1) the demonstrated regression of gender mainstreaming and the effects on women's employment as a consequence of the crisis, and (2) neoliberal governments and extreme right-wing parties (or neoliberal governments and extreme right-wing parties' support, as is the case with the current Andalusian regional government), whose agenda includes the fight against what neoliberal governments and extreme right-wing parties call “gender ideology”.

The gap between the effectiveness of gender legislation and actual working practices within the administration has been highlighted. This fact should be a wake-up call for the administrations to strictly comply with gender legislation, given that local administrations are the closest to the citizens. Future research should focus on changes to detect any regression and to prevent losing the improvements already achieved, which can still be very much strengthened.

This article helps to fill the gap in the literature on gender discrimination in the labor market, which often omits the public sector, especially in local administration, which is the closest administrative structure to citizenship respecting public policies. The article contributes to highlighting the need for an egalitarian labor market in order to achieve optimal performance, commitment and efficiency in egalitarian labor relations in local administration.

This study examines Covid-19-related policies as a showcase for priorities in migration governance, the role of the state and employers’ associations, as well as gaps in social security and social protection.

This paper looks at how immigration interacts with the labour market in the Czech Republic through the prism of the varieties of capitalism framework and its relation to the concepts of labour market segmentation and flexibility.

The findings show that pandemic-related measures focused on continuously adjusting a legislative framework granting access to third-country workers. However, protective measures that would guarantee migrant workers and their families access to social rights, such as healthcare, were lacking. In this context, several lines of segmentation are observed: between migrant workers in standard employment and those in non-standard employment, when looking at their access to healthcare; between migrants hired directly by employers and those working through temporary agencies in terms of their wages, stability and protection; and, at a sectoral level, between the skilled workforce and migrants that are pushed to low-qualified poorly paid, and routinised jobs.

This paper expands the existing literature on the preferences and influence of governments, employers and trade unions regarding the demand for foreign labour in varieties of capitalism by adding the perspective of a Central European economic model. At the same time, its findings contribute to the understanding that labour market inequalities are not fostered on the supply side of migrant labour, through exogenous societal or cultural characteristics specific to countries of origin, but rather through institutionalised measures, practices and policies in countries of destination.