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Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

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.

Organizational learning is traditionally structured with conventional in-house learning models aiming to equip employees with practical skills for operational needs. In contrast, contemporary goals emphasize unstructured organizational learning provided with learning environments to facilitate employees’ formal and informal knowledge creation. Therefore, the conventional organizational learning models are facing tremendous challenges, and it is crucial to change the traditional modes of practice into a new approach of collective learning and knowledge transfer. As well, the emergence of innovative business environments and tacit knowledge-based society urges a new form of organizational learning model to cope with employees’ learning, knowledge transfer and even knowledge management. The paper aims to discuss these issues.

In this study, the authors’ team applied a typological review for systematically analyzing current organizational learning models aiming to modify and create a new collective model.

The new model covers the strengths of existing approaches from which the fundamental 3Ps (i.e. principles, purposes and processes of organizational learning) concept is derived from incorporating a development perspective of organizational trajectories and technological innovations.

The authors envisage that the new model can facilitate organizations to assess and adapt their organizational learning needs and orientations by applying this organic and dynamic model which emphasizes assessment in relation to the competitive environment, technological trends and organizational growth.

Companies pursuing certification to quality standards must apply change methodologies to institutionalize the requirements into the business. Existing change models, such as Burke‐Litwin, can serve as the foundation for identifying underlying, predictive variables impacting response variables of a quality management system including quality and delivery performance. The models were selected based on their applicability and similarity in integration of organizational variables with great similarities to those of a typical quality management system. Adaptation of change models specifically to quality management standards provides the conceptual framework in which businesses can operate. The discussion reviews quality management standards, organizational change and models, and change management in pursuit of certification. A conceptual model was developed and serves as the foundation for empirical research efforts. This bridges the gap between organizational change models and quality management systems.

This paper aims to give an overview of the alternatives that Norwegian municipalities have regarding organisational models for their facility management (FM) and cleaning organisations, and to investigate what organisational models they apply, if building category or size of municipality influences their use of organisational models and whether their FM and cleaning organisations are organised similarly within identical municipalities.

The research is based on a national survey conducted during year 2010. All Norwegian municipalities were invited to respond. The survey asked the head of the FM departments (or the chief executive officer [CEO] if the first could not answer) what organisational models they used for their FM and cleaning organisations and what changes they planned for the organisation in the future. All questions were asked according to different building categories to determine whether building category had any influence on their choices.

Limited research has been published regarding the structure of the FM organisations in Norwegian municipalities and even less regarding their cleaning organisations. The results show that Norwegian municipalities prefer integrated models and also purchasing services from the private sector prior to applying decoupled models as inter-municipal alternatives and Municipal Limited Companies. The results do also indicate that Norwegian municipalities’ interest in such models is rising and that they seem to be moving away from traditional and integrated alternatives.

Although all municipalities were invited to the survey, only one-third responded.

The article may represent a first thorough overview of what organisational models and what combinations of models Norwegian municipalities use for their FM and cleaning organisations. Compared to former studies, this article explores a greater variety in organisational models and a greater variety in researched building categories.

This paper aims to find out how construction organizations can achieve excellence and enhance excellence through knowledge and workforce management. The combination of knowledge and workforce management, referred to here as the People Capability, is the key area of concern in this study.

The European Foundation for Quality Management (EFQM) model of organizational excellence is used as the basis for organizational excellence assessment and system dynamics is used as the modeling tool. Scenario analysis is conducted to identify the enabling factors that are more significant for organizational excellence, as well as how these factors operate and interact.

Based on the outcomes of the model, human resource development and training is the most important enabling factor that enhances organizational capabilities. Both workforce management and knowledge management are key components of People Capability, and they play crucial roles in the performance of construction firms. There is a high degree of dependence on these two components. Human resource development and training affect all capability areas and are key to the effective implementation of capability building programs.

Organizations might have various options in choosing different policies, and those policies can be planned and expressed in different manners and scales. How can an organization determine which scenarios end up producing desired performance results? Simulation techniques, especially system dynamics, have been used to answer these types of questions due to their ability to model causal relationships among various system components. The results of this research can help construction organizations identify effective knowledge and workforce management policies and capability-building programs that improve their organizational capabilities.

This study aims to examine how open innovation can be effective in changing organizational inertia to create business model innovation and improve firm performance. It also seeks to explore whether the existence of open innovation has a mediating effect and influence.

This study constructs a theoretical model to explore the relationship between latent variables and uses a questionnaire to collect research data. In the conceptual framework, organizational inertia is a second-order latent variable and comprises three first-order latent variables: insight inertia, action inertia, and psychological inertia. Open innovation is also a second-order latent variable, and consists of two first-order latent variables: outbound and inbound open innovation. To clarify the relationship between these latent variables, structural equation modeling (SEM) is used to test the goodness of fit of the theoretical model and research hypotheses. This study uses 141 small to medium-sized manufacturing enterprises (SMEs) in Taiwan as the research subjects.

The SEM analysis revealed that open innovation has a significant mediating effect on the relationship between organizational inertia and business model innovation, and the relationship between organizational inertia and firm performance; business model innovation also has a positive influence on firm performance.

This study contributes the empirical analysis of SMEs to illustrate the role of open innovation on business model innovation processes.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

The purpose of this paper is to study the role of organizational forgetting in the impact of strategic thinking on the implementation of an organizational excellence model. Furthermore, the factors with main effects on the implementation success of the organizational excellence model are investigated. The two main causes of organizational forgetting, including purposefulness and randomness, along with the three main factors of strategic thinking (vision, creativity and systematic thinking) also are explored. Enablers and results, which are the two key parts of an organizational excellence model are considered as well.

A model based on structural equations is designed, in which organizational forgetting factors, strategic thinking measures and main parts of a business excellence model are incorporated based on the literature. A total of 297 Iranian companies in which an organizational excellence model had been implemented are selected for investigation. A questionnaire is designed and distributed among the experts, middle managers and top managers of these companies. Based on Cochran’s formula, the sample size of 168 is obtained, for which the response rate is 100 percent. Main statistical measures such as χ² ratio to degree of freedom, non-soft fitness index (RMSEA), fitness index (GFI) and modified fitness index (AGFI) are used to assess the performance of the proposed model.

According to the results of the statistical significance tests, the role of organizational obsessive mediators in the establishment of the organizational excellence model has been largely confirmed. Furthermore, the mediator role of organizational forgetting in the final impact of strategic thinking on implementing an organizational excellence model has been widely endorsed. Failure to use knowledge from learning, the inability of a company in coding and documenting knowledge and lack of incentives to share it are the most important factors in the forgetting of knowledge in companies.

As top managers, middle managers and experts are hard to reach due to the wide geographical spread of the organization under study, a questionnaire is designed and distributed among them. The impact of organizational forgetting on other quality management systems such as ISO 9001 and ISO 4001 needs another research to be conducted in the future.

Using new experiences, increasing the competency of employees and managers experience through organizational learning, employee and managerial assessment and organizational strategy assessment are the main practical methods for considering organizational forgetting in the process of implementing organizational excellence models.

This research addresses organizational forgetting besides strategic thinking as joint main roles for implementing organizational excellence, whereas previous research works only considered strategic thinking as a factor. Furthermore, a structural equation model is developed for appraisal of effect of different factors.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.