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The purpose of the present study is to introduce the elements characterising the work context of high responsibility teams (HRTs) operating in high reliability contexts such as medicine or aviation. Based on these elements, the authors reflected on the function of teamwork in these contexts, which is strongly dominated by a notion of flexibility under complexity, based on the technical, normative, and governance dimensions of teamwork.

Problem‐centred interviews (n=11) based on semi‐structured guidelines were conducted. Subsequently, a survey was conducted using a questionnaire inventory in six different HRT work contexts (n=551).

The interviews and survey results show significant differences regarding, for example, hierarchy or stress posed on the HRTs. However, they also demonstrate relevant similarities regarding, for instance, dimensions of complexity occurring in the teamwork contexts. Both differences and similarities influence how the support systems of the teamwork dimensions should be set up.

The study provided an excellent overview of similar and differing characteristics of the work context of different HRTs. However, it represents six specific HRTs and might not be generalisable to teams in other high reliability organisations, such as in the energy sector.

It is recommended that the characteristics of work contexts in HRTs should be taken into account in order to set up support systems of teamwork dimensions that enable teams to transfer the prevalent safety discourse into safety practice.

The innovative approach, which combines qualitative and quantitative data, provided insights that can be used to support team functioning in the team's specific work context.

This paper aims to explore the influence of collective orientation (CO) on coordination and team performance for interdependently working teams while controlling for person-related and team variables.

A total of 58 two-person-teams participated in a simulation-based firefighting task. The laboratory study took 2 h for each team. The effects of CO in tasks of increasing complexity were investigated under the consideration of control variables, and the relations between CO, coordination and team performance were assessed using a multivariate latent growth curve modeling approach and by estimating indirect effects in simple mediation models.

Team members high on CO performed significantly better than low-scoring members. The effect of CO on team performance was independent from an increasing task complexity, whereas the effect of CO on coordination was not. The effect of CO on team performance was mediated by coordination within the team, and the positive relation between CO and performance persists when including group efficacy into the model.

As CO is a modifiable person-related variable and important for effective team processes, additional research on factors influencing this attitude during work is assumed to be valuable.

CO is especially important for highly interdependently working teams in high-risk-organizations such as the fire service or nuclear power plants, where errors lead to severe consequences for human beings or the environment.

No other studies showed the importance of CO for coordination and team performance while considering teamwork-relevant variables and the interdependence of work.

The purpose of this paper is to emphasize the underlying mechanism through which firms can achieve supply chain agility and augment business performance from the vendor’s perspective.

Drawing on dynamic capability view and contingency theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of process integration (PI), supply flexibility and product-related complexity on supply chain agility and the subsequent effect of supply chain agility on firm’s business performance. Survey data from a sample of 148 firms, in the garment manufacturing industry, in Pakistan were analyzed using partial least square methods.

The results revealed that supply flexibility (i.e. volume and mix) mediates the effect of PI on supply chain agility. Supply chain agility, in turn, influences a firm’s business performance. Furthermore, the competence‒capability framework is not consistent across the varying degrees of product complexity such as product complexity hinders the effect of supply flexibility on supply chain agility, whereas it amplifies the impact of PI on supply chain agility. The conditional indirect effects suggest that the indirect effect of PI on supply chain agility through supply flexibility becomes stronger when product complexity is high.

The study is novel in the context of an emerging economy to educate fashion vendors to tune their competencies and capabilities to regain the market share in the global market place.

Looks at the 2000 Employment Research Unit Annual Conference held at the University of Cardiff in Wales on 6/7 September 2000. Spotlights the 76 or so presentations within and shows that these are in many, differing, areas across management research from: retail finance; precarious jobs and decisions; methodological lessons from feminism; call centre experience and disability discrimination. These and all points east and west are covered and laid out in a simple, abstract style, including, where applicable, references, endnotes and bibliography in an easy‐to‐follow manner. Summarizes each paper and also gives conclusions where needed, in a comfortable modern format.

Examines the relative effects of alternative approaches to dealing with the intractable problem of managing a job shop. The effect of routing flexibility, simple order release mechanisms based on aggregate shop load, and local job prioritizing rules are examined together. While the impact of each experimental parameter is found to be significant, the impact of flexibility greatly overshadows those of the other parameters. These results support further examination and more normative understanding of how flexibility and better production planning and control may best be used in various competitive situations.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This paper aims to propose a multi-dimensional model on the basis of the key factors of the flexibility and the complexity through structural equation modeling (SEM). Dimensions of the flexibilities and complexity, including 16 main factors and 34 sub-factors, are investigated. The sampling of the research is accomplished using both academic and industrial experts.

A huge electronic questionnaire analysis, including 1,250 samples from which 1,036 were returned, was accomplished in various universities and manufacturing companies throughout the USA, Europe and Asia. Partial least square-SEM (PLS-SEM) is used to test the hypotheses through confirmatory factor analysis.

The results reveal insightful information about the impacts of different dimensions of flexibility on each other and also the effect of the flexibility on the complexity. Finally, system of linear mathematical equations for flexibility-complexity trade-off is proposed. This can be applied to realize the trade-off among dimensions of flexibility and complexity.

Flexible manufacturing systems are formed to meet the needs of the customers. Such systems try to produce products in appropriate quality at the right time and at the specified quantity. These, in turn, require flexibility and will cause complexity. Although flexibility and complexity are both important, there is no comprehensive framework in which the multi-dimensional relationships of the manufacturing flexibility and complexity, as well as their dimensions, are demonstrated.

The importance of supplier integration (SI) in improving firms’ performance has been previously identified but the effects of SI are complicated, as the relationship between supplier and buyer is full of uncertainty. The purpose of this paper is to re-examine the effects of SI on operations performance from a relational view.

Two strategies of integrating suppliers are theoretically presented: information sharing and joint decision making. Hypotheses are then developed on when SI influences operations performance, using product complexity and competitive intensity as moderating factors. The hypotheses are tested using a global survey data set, made up of 763 manufacturing firms from 22 countries.

The results indicate a positive relationship between SI and operations performance and that the moderating roles of product complexity and competition intensity are significant, but product complexity does not have significant moderation effects on the relationships between joint decision making and product quality/cost reduction.

The moderators of product complexity and competitive intensity are not comprehensive. Future study into how and under what circumstances SI has the greatest effect will be of benefit.

This study makes theoretical contributions by exploring the strategies of SI through a relational view, and examining the effects of SI through the moderating roles of product complexity and competition intensity.

The purpose of this paper is to investigate the knowledge existing in the literature on supply chain resilience for identifying the supply chain practices adopted for securing resilience in given uncertain event.

A systematic literature review is conducted to identify 84 conceptual and empirical studies. The research findings are synthesized in categories of uncertain events, supply chain practices and outcomes.

A set of propositions linking the uncertain events, mechanisms and supply chain resilience improvement is developed. It was found that the sufficient conditions for resilience under unexpected disasters are substantially different from those required for resilience against disruptions caused by internal practices or complexity.

Practitioners can benefit from the knowledge of interventions and mechanisms to improve their supply chain resilience in the face of different unpredictable situations. The contribution of this paper is twofold: first, it develops an actionable theory of supply chain resilience by developing testable propositions in the context of supply chains exposed to uncertainties resulting from unexpected disruptions, complexity of supply chains and adoption of certain internal practice; second, the paper highlights the key shortcomings of existing literature and provides opportunities for further research and improvement.

The purpose of this paper is to present how complexity on retail supply chains should be recognized and its relationship with the performance. Different supply chain structures and planning horizons have been analyzed to support practitioners taking action on the short, mid and long terms. Confronted complexity in the supply chain has been categorized as system, perceived and value adding. This would also help practitioners to understand the sources of the complexity and if the complexity is useful for the system or not.

Three different retail supply chain scenarios – each concentrating on different planning horizons – have been simulated on system dynamics software STELLA. Using the new classification scheme for complexity and suggested performance metrics, a multi-perspective analysis has been performed on the STELLA output.

The results and the methodology can be easily applicable in practice to support decision-making process and to answer “what-if” type scenario analysis on systems design and configuration. Using the selected complexity metrics, complexity of the system considering time factor – static and dynamic – and different information levels – system, perceived and value adding – has been evaluated. Used complexity metrics indicate the problematic areas in the systems to be distinguished.

This paper uses system dynamics modeling in retail supply chains to derive insight about dynamic behavior and to represent the complex interactions and a new classification scheme for system complexity.