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The purpose of this paper is to validate the accuracy of point cloud data generated from a 3D body scanner.

A female dress form was scanned with an X‐ray computed tomography (CT) system and a 3D body scanning system. The point cloud data from four axial slices of the body scan (BS) data were compared with the corresponding axial slices from the CT data. Length and cross‐sectional area measurements of each slice were computed for each scanning technique.

The point cloud data from the body scanner were accurate to at least 2.0 percent when compared with the CT data. In many cases, the length and area measurements from the two types of scans varied by less than 1.0 percent.

Only two length measurements and a cross‐sectional area measurement were compared for each axial slice, resulting in a good first attempt of validation of the BS data. Additional methods of comparison should be employed for complete validation of the data. The dress form was scanned only once with each scanning device, so little can be said about the repeatability of the results.

Accuracy of the point cloud data from the 3D body scanner indicates that the main issues for the use of body scanners as anthropometric measurement tools are those of standardization, feature locations, and positioning of the subject.

Comparisons of point cloud data from a 3D body scanner with CT data had not previously been performed, and these results indicate that the point cloud data are accurate to at least 2.0 percent.

Employee evaluation and monitoring have been common in America since colonial times. With industrialization, employers have implemented increasingly creative ways to monitor employees. For example, in the early part of this century, Ford Motor Company employed investigators to enter employees' homes to verify that employees were not overly drinking and that their homes were clean

This chapter reviews recent theoretical developments and empirical research, to examine the causes and consequences of identity processes in relation to collaboration in work groups and group performance. Our central proposition is that identification in work groups can have beneficial as well as detrimental effects, depending on the nature of the shared identity, and the content of distinctive group norms. First, we examine some of the complications stemming from the fact that identification in work settings typically involves groups that can be defined at different levels of inclusiveness and where people can be seen as having multiple cross-cutting identities. Then, we move on to show that processes of identification affect the way people view their co-workers and supervisors, causing the same objective behavior to be interpreted and responded to in a fundamentally different way. Finally, we examine how normative expectations about prototypical group behavior determine group processes and group outcomes, with the consequence that identification and commitment can affect work motivation and collective performance in different ways, depending on the content of distinctive group norms.

Leadership is a crucial driver of project performance. While traditionally, the project leader was considered as the exclusive source of leadership behavior, recent research indicates that particularly dispersed projects may profit from joint leadership efforts by all project members. However, leadership functions in dispersed projects are likely to differ from those in a face-to-face context. In this chapter, we specify shared leadership functions for the domain of geographically dispersed project teams with high levels of task uncertainty. Arguing that shared leadership in dispersed teams occurs through interrelation of individual and team actions, we specify a dispersed screening function as well as self-, other-, and team-directed interrelation functions and develop propositions on how these functions are related to project performance. Furthermore, we point to motivational aspects of shared leadership and discuss the role of the vertical leader in developing and facilitating shared leadership.

THE change in the Institute's title has been accomplished very quietly, as if it were a matter of minor importance, the mere substitution of some words for others. If it were no more than that it would scarcely justify the time and trouble which it involved.

This study seeks to explore why some teams realize performance gains and others do not. Team identification is proposed as an explanatory mechanism of performance.

Data from two longitudinal studies with 42 teams (270 individuals) are examined using regression analysis. Study 1 relies on student teams, while Study 2 is based on two field samples of actual working teams. In both studies, team identification was captured prior to the objective performance measures.

This study empirically provides evidence that team identification is linked to team performance across three settings.

Although the sample size is relatively small within each study, the implications are that team process variables such as identification matter when gauging performance across all three settings.

It is critical that team‐oriented processes, such as identification, are promoted if managers hope to see performance gains within work teams. Just because a team is created, this does not guarantee that the members will operate as a collective entity to accomplish tasks. If the members of the team identify with one another, they are more likely to outperform individual‐oriented teams.

There is little agreement regarding performance gains and teamwork. This study demonstrates that teams with identification are better performers across three settings, in which two are based on applied settings of actual intact work teams. This study is also valuable because it provides longitudinal data, given that identification is measured prior to performance.

This study aims to analyze the state of knowledge on the relationship between leadership and the firm’s supply chain. The study identifies and examines the existing literature, unveils research gaps and suggests future research directions.

Adopting a systematic review process, a total of 110 articles published in top-ranked academic journals (A* and A category as per ABDC-2019 list) were analyzed. Descriptive, cluster, thematic and regression analyses of citations were performed to garner insights.

The review outcome shows an upward trend of articles studying the influence of leadership in the supply chain. With the highest number of articles, developed countries and manufacturing companies have been the research contexts of the research studies. Clustering reveals eight significant areas where the leader’s involvement in the supply chain is discussed, with several sub-themes emerging within each cluster. Finally, the regression analysis of citations shows that only the journal’s quality matters the most in receiving the highest citation for the articles.

As this study considered only A* and A-ranked journals of the ABDC-2019 list, there is a risk of excluding some relevant articles.

While the current literature deliberates on recent trends in the supply chain, such as the application of Industry 4.0 practices, this review revolves around the classical theme of leadership and demonstrates its importance in the supply chain. The study is among the first to conduct a bibliometric analysis of articles deliberating on leadership and supply chain issues by grouping the articles into clusters and themes. In the end, the clusters and themes were conceptualized into the “House of Supply Chain Leadership,” of which leadership forms the foundation.

This paper aims to draw on Seamon’s(2012a, 2012b, 2014, 2015, 2018) theories on the “processes of place attachment” to understand the influence of place attachment on community leadership and the management of four towns in the Barossa region of South Australia.

The research methodology combines photo-elicitation, participant observation and in-depth interviews with 12 community leaders across four town groups. Scannell and Gifford’s(2010) tripartite model for place attachment is used to segment qualitative interview data to understand the nature of place attachment of community leaders. This was followed by thematic analysis using Seamon’s(2012a, 2014, 2018) six processes of place attachment to understand how the dynamics of place attachment as a series of processes interact to influence community leadership and place-based action.

The research revealed that community leaders in the Barossa region regularly confront a tension between the “Being” and “Becoming” of Place. It also suggests that place attachment for new residents is accelerated by engaging multiple place attachment processes; these can be measured using the research methodology in this study. The result is a tipping point where place leadership from new residents can accelerate towards the “Being of Place” showing a tendency towards protectionist behaviour commonly seen amongst long-term residents.

Testing the findings in this paper in other rural regions and other cultural contexts will add further insight and validation of these findings. It is recommended that future research could further develop this approach through engaging multiple place-based community groups in the same town and across different locations to understand the pattern language of communities with more accuracy.

This study has enabled a deeper understanding of place-based community groups and their motivations to protect the status quo or promote change in the development and management of the place. Each community requires a tailored approach to place management and development to activate community resources and partnerships successfully. This research also provides knowledge on how to accelerate place attachment for new residents to improve their sense of belonging, value and purpose by engaging programs that engage all six place attachment processes.

The research reveals that place relations are dynamic, complex and often political. Rural towns display a pattern language for how they engage networks and resources that government needs to understand to engage community stewardship of place – its social, environmental and economic setting. This research offers a method to better understand the pattern language of place attachment that drives community leadership and place management to help communities sustain themselves and adapt to change.

The research explores the inter-relationship between the place attachment of community leaders and their response to change from different types of community impacts such as bushfires or the COVID-19 pandemic. Understanding these processes is valuable in informing place management partnerships between community, business and government.

While scales were developed to measure individual adaptive performance (IAP), fewer contributions have been done to assess the construct at the team level of analysis. This issue is addressed through two related studies: Study 1 builds on Pulakos et al. (2000) to develop a measure of IAP. Study 2 follows from the results in Study 1 and tests a measure of team adaptive performance (Chan, 1998).

Scale development was done adopting a single level (Study 1) and multi-level (Study 2) structural equations modeling approach.

Results suggest that both measures of individual and team adaptive performance are reliable and show evidence supporting the adequacy of adopting referent-shift methodologies to the measurement and aggregation of team members’ rating of team adaptive performance.

The study offers a reliable, parsimonious and easy to apply measure of individual and team adaptive performance in organizational work environments.

This paper systematically reviewed research work on drivers of teamwork, which will reinforce construction work teams to enhance workers’ safety performance. This study adds to the existing but limited understanding of teamwork drivers on construction workers’ safety performance. This paper presents scholars and industry-based professionals with critical initiatives that have to be implemented in organisations to get positive results in safety while working in teams with an emphasis on systems drivers of teamwork on safety performance at the organisational level, which will help in providing information on the functioning of the teams and contribute towards improved safety performance of team workers.

This study aims to systematically examine the existing body of knowledge on drivers of teamwork by analysing 53 publications from the years 1997–2021. The Scopus search engine was used to conduct a systematic review and germane publications were collated.

According to the findings of the review, since 1997, there has been a burgeoning concern in the research of drivers of teamwork and its impact on workers’ safety performance. After performing a systematic review, 37 drivers of teamwork were identified. The top five drivers are effective communications, team workers’ relations, leadership, shared knowledge and information, and team training. Moreover, it was noted that the United States and Australia have been the international regions of focus for most of the research in the area of drivers of teamwork from the years 1997–2021. The 37 drivers of teamwork are distributed into six major socio-technical components: people drivers; culture drivers; metrics drivers; organisational and management practices and procedures drivers; infrastructure drivers and technology drivers.

The results reported present research scholars and professional practitioners with an overview of the drivers of teamwork that could be implemented in the construction industry to streamline potential implementations and improve safety performance of construction workers.

A list of teamwork drivers has been developed to ratify potential empirical research in the area of construction safety. The results would contribute to the existing but restricted understanding of drivers of teamwork in the construction industry.