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What motivates employees to show concern for their team or in-group members, and why is it vital to prefer teamwork and receive support from co-workers at the workplace? Given the significance of social relations in the workplace and drawing from social exchange theory, the present study seeks to examine the association between personal interaction with concern for team members by identifying preference for teamwork and co-worker support (CWS) mediating the relationship.

The data of 261 collected from employees working in varying public and private sector Indian enterprises were analyzed using confirmatory factor analysis, Structural Equation Modelling (SEM) and Hayes PROCESS macro to investigate the multiple mediation analysis.

The findings showed a positive relationship between personal interaction and concern for the team member, which elaborates that increasing personal interaction among employees tends to display concern for their team members. Moreover, teamwork preference and CWS mediated the relationship, demonstrating that preferring teamwork and receiving support from co-workers, the propensity to concern for team members is influenced by personal interaction.

This research pinpoints how personal interaction among members may develop a feeling of belongingness, leading to concern for their team members. With the inclusion of employees in teamwork and creating a cordial work environment, employees prefer working in groups and teams; they may feel responsible for their group and its members, ultimately helping improve the organization's human capital.

This study contributes to the employee and organizational development by unveiling how employees may develop cordial social relationships through personal interaction, preferring teamwork and CWS.

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models.

This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models.

Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability.

This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform.

Even the greatest developed countries have capitulated to the destructions imposed on the global supply systems, as the COVID-19 pandemic has revealed. The purpose of this study is to explore human resource sourcing strategies for managing supply chain performance during the COVID-19 outbreak. There are six human resource sourcing strategies such as outsourcing, near sourcing, integration, the requirement of suppliers, joint ventures and virtual enterprise that are considered to measure supply chain performance.

Based on collecting data from the potential respondents of Indian manufacturing companies, the elevation of human resource sourcing strategies to supply chain performance is measured considering the multiple regression analysis techniques.

The results of the study revealed that four of the six hypotheses have a significant and positive relationship with supply chain performance during the COVID-19 outbreak while two hypotheses are partially supported that lent good support to this study.

In this critical situation, this study will enable managers and practitioners to support the business in giving customers the best services on time.

The novelty of this study is to identify the key human resource sourcing strategies by using multiple regression analysis methods, considering the case of Indian manufacturing companies to measure their supply chain performance during the COVID-19 outbreak era.

A quick search of the headlines of major newspapers reveals a treasure trove of technology procurement gone wrong. While the private sector seems to adopt and implement new technology seamlessly and quickly to deliver for customers, the government struggles to accomplish technology purchases and integrations with the same ease. As governments in the United States are looking to retain their current workforce and attract the next generation of workers, the technological capabilities and ethos of governments will be paramount. With nearly every industry being transformed by technology and Generation T being the first generation to have an ingrained “technology first” mindset, the ability of governments to attract these workers depends, in large part, on the ability to transform their government technology culture, policies, and practices.

In this chapter, the authors examine the administrative branch and observe two key components at the root of most technology failures: poor organizational structure in the bureaucracy and the lack of an empowered Chief Information/Technology Officer. Building upon case studies from Massachusetts and California, this chapter looks at the factors related to failure or success to understand the technology procurement culture. The chapter concludes by presenting four key “best practice” principles of public policy and administration that can be implemented by almost any governmental entity to improve their acquisition and implementation of technology.

At the end of the session, learners are expected to be able to evaluate the detrimental impact of stress on blue-collar workers’ well-being in Attainer Engineering Sdn Bhd; develop effective strategies to improve stressful conditions experienced by blue-collar workers in Attainer Engineering Sdn Bhd; analyse and select appropriate approaches that can help maintain the motivation levels of blue-collar workers in Attainer Engineering Sdn Bhd; analyse the impact of Attainer Engineering Sdn Bhd’s extensive investment in training new blue-collar workers, alongside the subsequent high turnover rate, on the decline in sales and profit; identify the critical changes that the managing director should have implemented to prioritize employee retention among blue-collar workers at Attainer Engineering Sdn Bhd; discuss the strategic implementation of mechanization, specifically in the context of automating repetitive processes, as an innovative solution to address the challenges faced by the ship repair and maintenance service industry heavily reliant on blue-collar workers in emerging markets; cultivate thoughtful debates on ways to keep blue-collar workers in the shipping repair and maintenance industry, as well as active learner participation and group interaction; develop learners’ analytical and critical thinking skills by guiding them through the analysis of a real-world case study in the shipping repair and maintenance industry, concentrating on the difficulties and potential solutions for blue-collar worker retention; and equip learners with practical knowledge and insights on implementing effective human resources strategies for retaining blue-collar workers in the shipping repair and maintenance industry, emphasizing the conversion of theoretical concepts into workable solutions.

This teaching case study centres on Attainer Engineering Sdn Bhd, a Malaysian conglomerate that bestows ship repair and maintenance services. Regrettably, the corporation has been subjected to a decrease in profitability and productivity owing to its high turnover rate of blue-collar workers. The ship repair and maintenance service industry is accountable for delivering comprehensive repair and maintenance services to ships, including their engines, hulls, machinery and other related components. The fundamental aim of this case study is to ascertain the rudimentary factors that contribute to this issue and foster effective strategies to enhance the motivation and retention rate of blue-collar workers in the ship repair and maintenance service corporation, using appropriate management theories, models and concepts. The case study brings to light the importance of discovering the most suitable approaches to retain blue-collar workers in the corporation to improve its profitability and productivity in a highly competitive market. This teaching case study will be beneficial for students and practitioners who want to grasp the disputes associated with retaining blue-collar workers in the ship repair and maintenance service industry and learn how to apply management theories, models and concepts to address these disputes effectively.

This case discussion would be highly suitable for undergraduate and postgraduate university students who are pursuing their studies in management or related fields and are eager to delve into the nuances of the ship repair and maintenance service industry. Furthermore, trainers from both private and public agencies who are keen on gaining a deeper understanding of the issues pertaining to retaining blue-collar workers in this particular industry and devising result-oriented strategies to tackle these concerns would also find this case discussion immensely helpful.

Teaching notes are available for educators only.

CSS 6: Human resource management.

This study aims to identify the street-level approaches of professional workers in complex public social service organisations when attending to social assistance claimants.

The study employed a multifaceted approach comprising documentary analysis, semi-structured individual interviews (17) and focus group discussions (8) with qualified frontline social workers from primary care social services in Tarragona.

Social workers embodied three specific sets of cognitive, normative and emotional dispositions when attending to people with low incomes. First, the compassionate approach conceives clients as defensive regarding social services and emotionally vulnerable because of deprivation. Second, the instructional approach frames clients as being baffled by a new, precarious, institutional and economic context. They also lack information, abilities and the proper mindset to conceive of and attain available welfare and occupational resources. Third, the enforcement approach tends to define clients as suspicious, trying to obtain an excessive and unfair advantage of the welfare system that would eventually hamper their social opportunities.

Research thus far has tended to define public social assistance programmes in Southern welfare state contexts as mostly inefficient and hardly relevant residual social policies. The street-level approach shows that social workers try to resist the mere administrative processing of benefits, which is a professionally troubling and organisationally unsustainable way to proceed. They attempt to help clients by providing inclusive content in order to implement their benefits.

Anyone who has recently watched television or movies can tell you that transgender, gender nonbinary or gender expansive people are becoming more visible in these media. This trend reflects the reality that younger generations are increasingly identifying with more fluid and nonbinary gender and sexual identities and are progressively expressing those identities in a more flexible and changing manner (Herman et al., 2022; Wilson & Meyer, 2021). Unsurprisingly then, those individuals are also more visible at work, including in workplaces with employer-mandated dress codes. Indeed, in 2020 the US Supreme Court decided a case involving a transgender woman, Aimee Stephens, who was fired because her employer, a funeral home, required her to conform to its gender-binary dress policy and wear clothing mandatory for people assigned male at birth, rather than appropriate for her female gender identity ( Bostock v. Clayton County, 2020).

However, as the description of Aimee Stephens's own experience illustrates, often these employer appearance codes are based on a binary and fixed conception of gender and gender identity and expression at odds with the increasing number of workers who do not identify within those rigid parameters. Moreover, even when an employee, like Aimee Stephens herself, could have fit within her employer's dress code, the improper application of that policy to her, or employer concerns about customer or co-worker discomfort with an employee's appearance under the policy may mean that a worker's identity and expression may still conflict with a workplace appearance code. For gender nonbinary or nonconforming individuals, these complications are magnified.

This chapter explores the practical problems and barriers that employer dress codes have on employees whose gender identity and/or presentation move beyond the traditional male/female binary. Using insights from queer theory, gender expansive employees serve to interrogate fundamental assumptions behind workplace dress policies and the formal and informal ways in which these policies are policed. The chapter will explore that discordance, examine possible employer resolutions, and evaluate the strengths and weaknesses of those responses.

Migrants face some unique health-care challenges, which often remain unaddressed by the health system. The purpose of this study is to determine health-care access among migrants in Chhattisgarh, from a lens of health equity.

This study was conducted in a government-built tenement under the Integrated Housing and Slum Development program in Bilaspur district of Chhattisgarh state of India. It is a mixed-methods study which used a survey method, focus group discussion, in depth-interviews, semi-structured interviews and non-participant observations of health facilities in the area. Respondents included residents (migrants) and other local stakeholders like the Chief Medical Officer of the district, elected representatives of the local government and frontline health workers. This paper focuses on the findings from the qualitative component of the study.

The move to resettle the people living in the slums to the periphery of the city had a negative impact on their health-care access. They find it difficult to access public health services, given the services are concentrated in the city. Women, elderly people and disabled people grapple with additional challenges in being able to access basic reproductive health services and care for chronic illnesses. Equity in health-care access is linked to various social determinants of health including access to housing and social security. However, the authors found that the migrant community is being deprived of appropriate housing facilities and social security.

This paper explores the health-care access of internal migrants in Chhattisgarh state of India in the larger context of urban development with a focus on health equity.

Companies are concerned about the well-being of workers in their supply chains, but conventional audits fail to uncover critical problems. Yet, if the happy worker – productive worker thesis is correct, it would benefit factories in fast-developing countries, particularly China which is key to many global supply chains, to ensure the well-being of their workers. The authors set out to better understand the relationship between well-being and performance in four Chinese factories.

Over 12-months the authors collected digital diaries from 466 workers in four factories, and monthly data about the performance of their factories. The authors used this data to gain insights into the well-being of workers in these factories; to design experimental interventions to improve this; and to consider any effects these had on factory performance.

The experiments showed that training interventions to improve workers' well-being through their work relationships and individual skills improved not just a factory's general worker well-being, but also some aspects of its performance and worker retention. Thus, it brought benefits not only for the workers but also for the factory owners and their client companies.

While there is a significant body of research investigating the happy worker – productive worker thesis, this was not conducted in Chinese factories. The authors’ work demonstrates that in this and similar environments, workers' eudaimonic well-being is more important than might be assumed, and that in this context there is a relationship between well-being and performance which can be practically addressed.

This chapter challenges middle-class bias in work-life literature by examining work-life balance dynamics through a social class perspective. It reveals class-based disparities in physical, temporal, and psychological outcomes, including the role of economic capital in work-life balance and the challenges encountered by the socially mobile in achieving psychological balance. It emphasizes the need to acknowledge social class implications for work-life balance and urges organizations to address class-based inconsistencies and inequalities in their practices.