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Organisational performance of sport organisations has been studied over the last three decades. However, little attention was paid towards performance management (PM) compared to performance measurement. The purpose of this paper is to close this research gap by establishing a holistic perspective for PM of National Sports Organisations (NSOs) that accounts for their uniqueness, the interdependence of their operating systems and their relationship with their environments. Furthermore, this paper presents a holistic model of PM for NSOs.

The model was developed from a literature review process and uses the macro, meso and micro framework to describe external and internal environmental influences that affect the PM of NSOs.

The NSO’s ability to respond to the dynamics of their external environment by implementing organisational processes that account for the resources available and their structural designs influences their PM. Furthermore, the ability of the individuals within NSO to create enabling environments for PM influences organisational efficiency and effectiveness.

This paper contributes to sport management literature on the PM of NSOs, and informs sport managers on ways to improve organisational performance by implementing holistic approaches to PM.

This is the first study that takes a holistic approach to PM of NSO and depicts the specific elements that play a crucial role in managing NSO’s multi-dimensional performance.

This paper maps the organizational learning processes in a policy intervention program. A state department of social services designed an intervention for local agencies and implemented it with a university. A closer observation of patterns detected organizational learning in local agencies by the increase in the penetration rate-a ratio of federal to state funding. An organizational learning model is constructed to understand the organizational learning process in this particular instance. The model includes learning modes and the roles that the policy knowledge instigators had played in the process. Each mode and role is defined and the model is refined based on in-depth interviews with participants in the learning process.

Modern enterprises face a strong economical pressure to increase competitiveness, to operate on a global market, and to engage in alliances of several kinds. In order to meet the requirements and challenges of participating in such alliances, companies must be able to cooperate effectively and efficiently. The purpose of this paper is to provide an overview of some major directions in inter‐organizational cooperation.

In order to cope with the challenges of inter‐organizational cooperation, to share innovative research issues and to facilitate profound discussions about them, the authors organized a series of workshops on Modeling Inter‐Organizational Systems (MIOS‐CIAO!) starting at the annual OTM Federated Conference and Continuing at the Annual CAiSE Conference. This paper summarizes the results of the workshops.

This paper provides an overview of what has been established and what is going on regarding the cooperation of enterprises in networks. The focus has been on the modeling of cooperation, from the business level down to the implementation level.

This overview is a useful source of knowledge for those who want to have a quick insight in the relevant aspects of cooperation, and in many well‐known modeling approaches and techniques. It is also an inspiring source for those who want to investigate yet unsolved or unsatisfactorily solved problems. Although developments, both in theory and in practice, will go on, no landslides are expected. Particularly for practice, the value of this report will therefore last for a considerable time.

Several core notions in the area of inter‐organizational cooperation are clarified, such as collaboration, cooperation, enterprise network, choreography, and orchestration. The whole process of developing or investigating an enterprise network is covered.

Scholars and practitioners in the OB literature nowadays appreciate that emotions and emotional regulation constitute an inseparable part of work life, but the HRM literature has lagged in addressing the emotional dimensions of life at work. In this chapter therefore, beginning with a multi-level perspective taken from the OB literature, we introduce the roles played by emotions and emotional regulation in the workplace and discuss their implications for HRM. We do so by considering five levels of analysis: (1) within-person temporal variations, (2) between persons (individual differences), (3) interpersonal processes; (4) groups and teams, and (5) the organization as a whole. We focus especially on processes of emotional regulation in both self and others, including discussion of emotional labor and emotional intelligence. In the opening sections of the chapter, we discuss the nature of emotions and emotional regulation from an OB perspective by introducing the five-level model, and explaining in particular how emotions and emotional regulation play a role at each of the levels. We then apply these ideas to four major domains of concern to HR managers: (1) recruitment, selection, and socialization; (2) performance management; (3) training and development; and (4) compensation and benefits. In concluding, we stress the interconnectedness of emotions and emotional regulation across the five levels of the model, arguing that emotions and emotional regulation at each level can influence effects at other levels, ultimately culminating in the organization’s affective climate.

Organisational issues present the main barriers to the implementation of concurrent engineering (CE) to new product development (NPD) processes in manufacturing organisations. Both research and practice have demonstrated that companies that invest in improving organisational development issues fare better than those that rely purely on tools and technology alone. The key issues are improving cross‐functional integration and developing social mechanisms that facilitate a collaborative environment. Organisational analysis represents the first step an organisation can take in order to improvement its effectiveness. Organisational analysis techniques have been a field of study for many years, resulting in the development of a number of different methodologies ranging from purely mathematical models of analysis to heuristic models using simulation. This paper presents a methodology that draws upon traditional organisational theory and combines it with the more recent business process re‐engineering approaches for the analysis of organisational issues in a CE environment. The methodology is based on the hierarchical modelling and analysis of the business process. A detailed case study of its application in industry is presented. The paper concludes by summarising the key features of the methodology and issues emerging from its implementation.

Human resource (HR) process research emerged as a response to questions about how (bundles of) HR practices related to organizational outcomes. The goal of HR process research is to explain variability in employee and organization outcomes by focusing on how HR practices are intended (adopted) by senior managers, the way that these HR practices are implemented and communicated by line managers, and how employees perceive, understand, and attribute these HR practices. In the first part of this chapter, we present a review of 20 years of HR process research from the start, to how it developed, and is now maturing. Within the body of HR process research, several different research theoretical streams have emerged, which are largely studied in isolation without benefiting from each other. Therefore, in the second part of this chapter, we draw on previous work to propose a staged process model in which we integrate the different research streams of HR process research, recognizing contingencies in the model. This leads us to an agenda for future research and practical implications in the final part of the chapter.

A plethora of BPR methodologies have appeared in the literature during recent years, however, most of them present serious limitations mainly due to the need for a multi‐disciplinary approach. In this paper we present an overview of existing work in the area of BPR with the aim of highlighting the different categories of BPR methodologies identified in the literature, their focus on the redesign process and the general BPR principles that emerge from them. We also present a BPR methodology called Agent Relationship Morphism Analysis (ARMA) that goes beyond the limitations of the existing BPR methodologies taking a holistic view of the organisation. In ARMA the modelling of the business environment is achieved with the use of three perspectives: the structural, behavioural and process. The use of these three perspectives provides insight to the relationship between organisational structure and organisational processes.

This paper is about gathering the measurement data and making an effectiveness results to assist decision-making process to evaluate the level of the organizational goals achievement. In order to achieve this aim, we designed GOAL framework as a platform represents five steps for domain experts and entrepreneurs to identify the relevant organizational data to assist decision-making process in relation to the organizational goals. The aim of this paper concentrates on the design of this framework. GOAL framework associated with the organizational goals ontology aim to identify the dependency relationship between organizational goals and dependency relationship between organizational data and organizational goals. Metrics is defined for this dependency to identify which organizational data is relevant to the organizational goals. The framework is flexible to change without affecting things around because the framework is applicable in any organizational data with different organizational goals.

Identifying handovers is an important but difficult to achieve goal for companies as handovers have advantages allowing for specialisation in processes as well as disadvantages by creating erroneous interfaces.

Conceptualisation of a method based on theory and evaluation with company data using a process model repository.

The method allows to evaluate handovers from the perspective of roles in processes and grouping of employees in organisational units. It uses existing process model repositories connected with organisational chart information in companies to determine the density of handovers. The method is successfully evaluated using the example of a major telecommunications company with 1,010 process models in its repository.

Companies can determine on various levels, up to the overall organisational level, in which parts of the company efforts are best spent to manage handovers in an optimal way.

This paper is first in showing how handovers can be conceptualised and identified with a large-scale method.

The process approach to multi-level organizational behavior is based on the assumption that multi-level organizational behavior is processual in nature. This article defines group and organizational processes and their representation as process frameworks. Both functional and inclusional classes of levels exist, each of which has at least five categories of levels. All ten categories are special cases of process frameworks. This article provides examples of each category level, which it uses to illustrate new models of organizational work, extended models of interdependence, a new typology of theories based on their levels of processes, and a new tool for survey research called knobby analyses. After explaining the basic idea of knobby analysis, the article briefly describes the processual theory of the organizational hologram, the use of linear programming, and causal-chain analysis to provide multi-level explanations of employee opinion data. These ideas are embodied in conducting a strategic organizational diagnosis, which is the first stage of organizational design. Organizational design encompasses multiple stages, each of which itself involves multiple, multi-level phenomena and analyses. The basic point is that the processual nature of multi-level organizational phenomena gives more hope for improvements in theory building and their application if one uses the process approach rather than a variable approach.