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The field of Human Resource Management (HRM) has long recognized the importance of interpersonal influence for employee and organizational effectiveness. HRM research and practice have focused primarily on individuals’ characteristics and behaviors as a means to understand “who” is influential in organizations, with substantially less attention paid to social networks. To reinvigorate a focus on network structures to explain interpersonal influence, the authors present a comprehensive account of how network structures enable and constrain influence within organizations. The authors begin by describing how power and status, two key determinants of individual influence in organizations, operate through different mechanisms, and delineate a range of network positions that yield power, reflect status, and/or capture realized influence. Then, the authors extend initial structural views of influence beyond the positions of individuals to consider how network structures within and between groups – capturing group social capital and/or shared leadership – enable and constrain groups’ ability to influence group members, other groups, and the broader organizational system. The authors also discuss how HRM may leverage these insights to facilitate interpersonal influence in ways that support individual, group, and organizational effectiveness.

This paper reviews the current status of devices for use as exoskeletons for assisting or constraining human movements. Applications include teleoperation and force augmentation to allow people to operate more easily or more efficiently in a variety of situations, including military and emergency service applications.

In recent years organizational scholars and practitioners have avidly pursued an in‐depth understanding of demographic diversity and its consequences. This study contributes to such an understanding by examining how an individual's demographic distance from others in a work group shapes his or her perception of the group's conflict and performance. Data from 233 members of 42 blue‐collar groups reveal that gender and tenure dissimilarity increase the perception of emotional conflict, indirectly reducing individual ratings of group productivity. These results suggest a process by which relational demography may indirectly affect members' confidence in their group.

The purpose of this paper is to examine team external learning, particularly focusing on: how leader external learning behavior affects team external learning; how team external learning influences employee creativity; and whether team internal learning is a moderator between the cross‐level relationship of external learning and employee creativity in Chinese R&D teams.

Survey questionnaire were administered to a sample of 80 R&D teams comprising 331 employees from three medium‐sized Chinese high‐tech companies. HLM was used to test cross‐level relationships.

The paper hypothesizes that: leader external learning positively influences team external learning; team external learning leads to employee creativity; and team internal learning moderates the relationship between team external learning and employee creativity. Results support hypotheses 2 and 3, but not hypothesis 1. In addition, leader external learning is found to positively influence employee creativity.

This study has implications for both team leaders and top management. Although the context of this study is in Chinese R&D teams, all those teams facing similar environment to R&D teams can also learn from this study. There are several interesting implications for scholars who are studying teams, creativity and innovation.

Combining fields of team learning, boundary spanning, creativity and leadership, the paper addresses the following four questions, and provides further insights to the area of team external learning: First, what is the cross level relationship between team external learning and employee creativity? Second, is internal learning a moderator on the relationship between team external learning and employee creativity in R&D project teams? Third, is leader external learning behavior one of antecedents of team external learning? Fourth, is there anything unique about team external learning in Chinese culture? The paper provides research evidence for each of these questions.

Past research involving turnover in work teams has largely focused on turnover as a dependent variable. With the growing trend towards more fluid, project-based teams, the effects of team membership changes on team processes and outcomes are in need of theoretical development and systematic study. Building on previous work by others (e.g. Arrow & McGrath, 1995; Marks, Mathieu & Zacarro, 2001), we develop a framework for understanding the effects of the rate of membership change, or team fluidity, on emergent states and processes in teams. Specifically, we: (a) discuss the theoretical underpinnings of team fluidity; (b) review past team research involving turnover; (c) make theoretically-grounded propositions about the effects of team fluidity on emergent states and process variables as well as additional propositions about boundary conditions; (d) discuss implications for human resource management practices; and (e) identify methodological challenges, including measurement issues, in studying team fluidity.

In this chapter, we focus on the people component of the technology commercialization process. We review how the need for a variety of skills and knowledge sets creates unique challenges and opportunities for the team, particularly given the complexities associated with commercialization and the need for creativity throughout the process. We suggest that simply having a multidisciplinary team in place does not ensure success and highlight the potential benefits and liabilities. In particular, we highlight the relevance of team composition in terms of professional orientation and social network ties. We then review how team composition influences internal team processes.

Improved production with quality, safety, and security is the biggest challenge of the food industry. Modern technologies, including robotics and automation systems, can help to cope with such issues. This chapter gives a brief view of robotics and automation for the sustainable food industry along with packaging, warehousing, distribution, marketing, and consumer services. It describes the recently implemented solutions of robotic automation in different supply chain operations and various food commodities. The benefits of robotic and automation technology for perishable and semi-perishable items have also been covered. The present research may assist the food industry professionals, supply chain managers, and academicians in implementing automation and robotics in the food industry.

Purpose – We outline how research on groups in disrupted environments can advance research on group processes.

Design/Methodology/Approach – We review studies of groups in disrupted environments, drawing mostly on military research to generate understanding of intra- and intergroup dynamics. We also identify new technologies and methods to improve measurement and modeling of groups.

Findings – When consolidated, the research documenting challenges groups operating in disrupted environments face suggests the importance of considering them as a unique set of circumstances for groups. It also identifies methods for objectively measuring and modeling groups in these environments.

Practical Implications – This chapter will help practitioners determine factors pertinent to groups working in disrupted environments, identify group processes that generate success and those that undermine group effectiveness, and point to emerging technologies to better measure and model group processes in disrupted environments.

Social Implications – Group processes affect both individuals and societies. In the context of the disrupted environments, group performance translates to enormous consequences for individuals, as well as national security and humanitarian implications.

Originality/Value of the Chapter – This chapter uniquely consolidates the vast amount of research on groups operating in disrupted environments and also is innovative in emphasizing the disrupted context as a generalizable situation that elucidates key dimensions of group processes and performance in disrupted environments.

This paper aims to propose an enhanced static model of commercial braided pneumatic artificial muscles (PAMs), which is fully analytical without the need for experimentally determined parameters.

To address the highly nonlinear issues of PAMs, the enhanced model is derived considering the irregular shapes close to their end-fittings, as well as the elastic energy stored in both their braids and rubber bladders. The hysteresis characteristics of PAMs are also explored by analyzing the friction in the crossovers of the interlacing braided strands, together with that between the strands and their surrounding bladders. The isobaric and isometric experiments of a commercial PAM are conducted to demonstrate the enhancement, and the model accuracy is evaluated and compared with some existing models in terms of root mean square errors (RMSEs). Additionally, the proposed model is simplified to facilitate the applications that entail high computational efficiency.

The proposed model agrees well with the experimental results, which indicates its viability to accurately predict the static behaviors. An overall RMSE of 5.24 N shows that the enhanced model is capable of providing higher accuracy than the existing analytical models, while keeping the modeling cost at a minimum.

The proposed model, taking account of non-cylindrical shapes, elastic energy and friction, succeeds in enhancing the static predictions of commercial PAMs. The fully analytical model may accelerate the development of novel PAM-based robots for high-precision control, while giving a deeper understanding of commercial PAMs.