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Introduction Consider a hi‐fi loudspeaker manufacturing company acquired on the brink of insolvency by an American multinational. The new owners discover with growing concern that the product range is obsolete, that manufacturing facilities are totally inadequate and that there is a complete absence of any real management substance or structure. They decide on the need to relocate urgently so as to provide continuity of supply at the very high — a market about to shrink at a rate unprecedented in its history.

This paper summarises a doctoral research study. The purpose is to provide a summary of the scope, literature review, main issues raised in the thesis, the application of case study research methodology, key research findings and potential areas for future research.

Research reported here is based on a case study methodology for a better understanding of new product development (NPD) projects in the Australian Telecommunications service provider (Telco) industry, and what makes their project managers successful. Theoretical conclusions from the literature review were tested using empirical data from one‐on‐one interview with experienced project management professionals and major stakeholders (i.e. unit of data collection). Sample projects (i.e. units of analysis) were analysed to gain a better understanding of Telco NPD projects and the skill sets required for their success.

A theoretical skill set framework of technical, leadership, managerial and administrative skills, has been proposed and summarised with clear definitions grounded in the recent management and leadership literature and with a rationale of how they contribute to project management success that this thesis fleshes out. This framework was empirically proven to define successful Telco NPD project managers.

The research study advances knowledge of projects and their practices in a specific Telco industry NPD context, and proposes a better description of successful project managers. Its results have important implications for hiring, developing and assigning project managers to projects in different phases. Generic project manager competency standards need to be complemented and adjusted in accord with the findings from this research.

This paper alerts academicians and practitioners to this research work on Telco industry NPD projects, and their project managers. It presents an up‐to‐date status of this industry, and requirements for project managers.

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.

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.

Project manager’s competency is crucial in the construction sector for the successful completion of projects, particularly in the case of developing countries like Nepal. Therefore, it is very essential to select competent project managers by finding the competency factors required by them. Hence, this study aims to identify the characteristics of competent project managers by expert opinion method and to evaluate their competency level by a questionnaire survey to develop a prediction model using a supervised machine learning approach via Waikato Environment for Knowledge Analysis (WEKA), a machine learning tool which predicts Project manager’s performance as “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal (from US$200,000 up to US$10M).

The data collection procedure for this research is based on an expert opinion method and survey. Expert opinion method is conducted to find the characteristics of a competent project manager by validating the top 15 competency factors based on literature review. The survey is conducted with the top management to assess their project manager’s competency level. Both qualitative and quantitative approaches are used to collect data for classification and prediction in WEKA, a machine learning tool.

The results illustrate that the project managers in Nepal have a high score in leadership skills, personal characteristics, team development and delegation, communication skills, technical skills, problem-solving/coping with situation skills and stakeholder/relationship management skills. Furthermore, among the seven classifiers (naïve Bayes, sequential minimal optimization [SMO], multilayer perceptron, logistic, KStar, J48 and random forest), the accuracy given by the SMO algorithm is highest of all in both the percentage split and k-folds cross validation method. The model developed using SMO classifier by k-folds cross-validation (k = 10) is acknowledged as a final model.

This research focuses to develop a prediction model to predict and analyze the competency of project managers by applying a supervised machine learning approach. Seven extensively used algorithms (Naïve Bayes, SMO, multilayer perceptron, logistic, KStar, J48, random forest) are used to check the accuracy of models and an algorithm that gives the highest accuracy is adopted. Data collection for this research is carried out by expert opinion method to validate the characteristics (factors) essential for competent project managers in the first round and the description of each factor as high, medium and low is inquired with the same experts in the second round. After an expert opinion, a structured questionnaire is prepared for the survey to assess the competency level of project managers (PMs). The competency level of PMs working under government funded, foreign aided or private projects from the contractor’s side is measured. This research is limited to the medium scale construction projects of Nepal.

This model can be a huge asset in the human resource department of construction companies as it helps to know the performance level of project managers in terms of “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal. Also, the model will assist human intelligence to make the decision while recruiting a new project manager/s for different types of projects at a time. Moreover, the model can be used for self-assessment of project manager/s to know their performance level. The model can be used to develop a user friendly interface system or an application such that it can be conveniently used anywhere any time.

This research shows that most of the project managers working in a medium complexity construction project of Nepal are male, maximum of them hold bachelor’s degree and study for road projects. Furthermore, most of the project managers scored high in leadership skills, personal characteristics, communication skills, technical skills, problem-solving/coping with situation skills, team development and delegation and stakeholder/relationship management skills. The model has given the “Personal characteristics” attribute the highest weightage. Likewise, other attributes having high weightage are communication skills, analytical abilities, project budget, stakeholder/relationship management, team development and delegation and time management skills.

This research was conducted to find the competency factors and to study the competency level of project managers in Nepal to develop a prediction model to predict the PM’s performance using a machine learning approach in medium scale construction projects. There is a lack of research to develop a model that predicts project manager’s competency using the machine learning approach. Therefore, the predictive model developed here helps in the identification of a competent project manager as it will be advantageous for project completion with a high success rate.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

Using the backdrop of an (apparently) extended visit to the West Indies, analogies with key concerns of internal audit are drawn. An unusual and refreshing way of exploring the main themes ‐ a discussion between Bill and Jack on tour in the islands ‐ forms the debate. Explores the concepts of control, necessary procedures, fraud and corruption, supporting systems, creativity and chaos, and building a corporate control facility.

The purpose of this paper is to develop criteria for project manager selection based on desired skills of a project manager and facilitate the selection of a suitable candidate from a pool of potential candidates for the implementation of projects in the Indian context.

The study utilizes three major skills, namely human skill, conceptual and organizational skills; technical skill along with their sub-skills to develop criteria for project manager selection. Based on the responses of project professionals from industry, the study uses analytical hierarchy process to prioritize and identify the relative importance of different skills in the criteria in order to develop a hierarchical structure for project manager selection.

The study finds that at the first level of project manager selection criteria, conceptual and organizational skills are the most important selection criteria followed by human skills and technical skills. At the second level of project manager selection criteria, planning, delegating authority and understanding methods, processes, and procedures are some of the important sub-selection criteria. The weights indicating the relative importance of major selection criteria and sub-selection criteria can be used to evaluate the relative weight of a given candidate for selection as a project manager.

The results in this study are derived from specific demographic conditions in India. Future research with larger samples from other countries is needed for generalizations of the proposed criteria.

The proposed method quantifies the intangible qualitative criteria to select a project manager, which can aid decision-makers in a multi-criteria decision-making environment.

This research paper is focused on the identification of critical skills for the selection of a project manager, which is almost neglected by the researchers.

This study aims to illuminate the currently poorly understood inflow of knowledge originating from project managers across the value chain of construction projects. The primary purpose is to identify the domains of knowledge that project managers’ need to share in their management activities, the skills they need to develop in their sharing practices and how these relate to each other across different phases of a construction project.

Knowledge domains, skills and the relationships between them were identified following an inductive methodology, a combination of grounded theory and case study, and through the analysis of semi-structured interviews with 21 project managers and participants within a single construction project.

The outcome is a novel framework that theorizes the dynamic interplay between knowledge domains and the skills that facilitate knowledge sharing (KS) for successful project work throughout the construction project.

The combined effects of task heterogeneity, knowledge interdependencies and temporariness require paying increased attention to how knowledge domains and KS skills impact project performance. This paper addresses gaps in developing an integrative understanding of the nature of the domains of knowledge that need to be shared in a project context, the key skills contributing to KS and more importantly, how they evolve and are interpreted and reinterpreted throughout the project and assist KS practice in projects.

Many criticisms questioning the role and the efficiency of business consultants have been addressed. However, although a great deal of research has been carried out on business consultancy, little has been written on business consultancy from the consultant's viewpoint. In order to gain a detailed view of the situation from an internal consultant's perspective, an investigation of how business consultants perceive their role and contribution within their clients' organisations was undertaken. Drawing on different perspectives, this study aims to demystify the role of business consultants, and to ascertain how they perceive their role within their clients' organisations.

A series of interviews were conducted, where business consultants were asked to comment on issues related to the nature of the relationship with their clients, the pros and cons of their role and also the amount of control and discretion they exercise over the different projects in which they are engaged. Interview data from 17 business consultants from a variety of fields, such as change management, information technology, corporate finance and human resource, are analysed using an interpretive frame.

The research findings reveal that differences exist between the rather pejorative conclusions of previous research and the conclusions of this study. Whereas previous research highlighted the omnipotence and the more or less deontological practice of consultants, the data analysis from this study concludes that business consultants appear very humble in their approach to their relationship with clients, and believe that moving clients forward is their ultimate goal. The findings also enable the study to demonstrate that business consultants are conscious of the amount of control and discretion that is passed on to them by clients, and do recognise that criticisms of their role can be at times justified.

The study has value for both consultants and clients. The role determinants model presented in the study highlights the main characteristics of the role of business consultants and helps both clients and consultants to rethink their approach to the consulting process.