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Categorizing projects allows for better alignment of a portfolio with the organizational strategy and goals. An appropriate project categorization helps understand portfolio’s structure and enables proper project portfolio selection (PPS). In practice, project categorization is, however, conducted in intuitive approaches. Furthermore, little attention has been given to project categorization methods in the project management literature. The purpose of this paper is to provide researchers and practitioners with a data-driven project categorization process designed for PPS.

The suggested process was modeled considering the main characteristics of project categorization systems revealed from the literature. The clustering analysis is used as the core-computing technology, allowing for an empirically based categorization. This study also presents a real-world case study in the automotive industry to illustrate the proposed approach.

This study confirmed the potential of clustering analysis for a consistent project categorization. The most important attributes that influenced the project grouping have been identified including strategic and intrinsic features. The proposed approach helps increase the visibility of the portfolio’s structure and the comparability of its components.

There is a lack of research regarding project categorization methods, particularly for the purpose of PPS. A novel data-driven process is proposed to help mitigate the issues raised by prior researchers including the inconsistencies, ambiguities and multiple interpretations related to the taken-for-granted categories. The suggested approach is also expected to facilitate projects evaluation and prioritization within appropriate categories and contribute in PPS effectiveness.

Projects have high stakes in how they are categorized. The final place of a project within a classification scheme depends on the inclusion or exclusion of certain classification criteria. So far, many researchers and organizations have used a variety classification criteria to construct different project classification schemes. However, most of these classification criteria have been taken for granted and the process of selecting them to categorize projects still remains a black box. The purpose of this paper is to open the black box of classification process and explain how it is reflected in picking the classification criteria.

Drawing on insights from cognitive psychology’s literature, the authors examine the main views of classification process to provide insight into the unknown or implicit reasons that one might have to pick particular attributes as project classification criteria.

The authors argue that classification occurs in the eye of the beholder; it is not only the project’s features per se but also the classifier’s “goals, ideal and preference” or “knowledge of causal relations” that are reflected in the classification criteria.

By elaborating the classification process, the authors brought the project context into the big picture of classification and provide a more rational, and coherent picture of how project classification works. This contributes to a theoretical blind spot, raised by prior researchers, related to the selection of project classification criteria.

Understanding classification processes will reduce the ambiguities, inconsistencies and multiple interpretations of project categories and help practitioners increase their projects’ visibility and legitimacy within an already established classification scheme. These implications help organizations in addressing some of the main obstacles to using categorization in project management practice.

The review of prior work in the category research literature and the insights from this paper will provide project management scholars with a useful toolbox for future research on project classification, which has long been understudied.

This paper aims at studying the success and failure of BPR projects executed throughout Iran. For this purpose, effective indices and also factors of success and failure are to be investigated.

Based on statistical analysis of efficiency indexes mean value and project effectiveness, as well as the test outputs for the projects' total success, it was proved that except for the two organizations, the rest lack necessary efficiency and except for two organizations, the others lack necessary effectiveness.

The total success test outputs has verified the results of the two above‐mentioned tests, so by 95 percent of assurance, it has to be commented that BPR projects executed in Iran have failed to reach predefined acceptable success.

The lack of data from organizations is a big problem in BPR projects in Iran.

The article recommends that every BPR project before execution needs deployment of success factors such as: preparation for change, planning, recognition and design, evaluation, culture and change, information technology, and outcome in governmental organizations.

The purpose of this paper is to investigate the triadic relationship between project workspace (i.e. spatial context), project type and project manager’s leadership style. It develops the concept of leadership construct (i.e. mental models of leadership to predispose the way leadership is performed) to explain related preferences for workspace and behaviors.

A combination of phenomenological inquiry on preferred workspaces in different project types is combined with a conceptual study on related leadership styles in these settings.

Four different leadership constructs are identified, which are conditioned by workspace and project type: one-on-one, virtual, interactive and mixed leadership. Also, four leadership patterns are identified, and these are related to open office and virtual office settings in product, service, software development and infrastructure construction projects.

The results show the interaction of workspace, project type and leadership styles, which extends existing leadership theory and provides more granularity in determining appropriate leadership styles for project managers.

Practitioners benefit from a more conscious selection of appropriate leadership styles, which positively impacts project results.

By linking workspace, project type and leadership styles, the study is the first of its kind and a novel contribution to theory in project leadership.

This study aims to develop a new integrated decision-making framework specifically designed to address complexity and uncertainty for project portfolio management. It particularly focuses on managing portfolios in a post-merger context. The paper portrays a normative and prescriptive approach to effectively creating a well-balanced project portfolio in a post-merger scenario.

This study introduces hyper-project portfolio frame as a prospective methodology for evaluating post-merger portfolios. The proposed method especially addresses the challenges associated with integration following a merger.

Hyper-project portfolio frame provides fundamental leaps in post-merger project portfolios. The frame gives opportunities to check consistency with policy, organizational scalability, flexibility and product diversity. It also underpins achieving the strategic objectives of mergers and acquisitions (M&As).

The literature synthesis is approached from an interpretative standpoint. The research incorporates discussions and comparative studies from the relevant literature and introduces a novel approach. Additionally, new descriptive studies can expand the proposed process-oriented decision-making. Moreover, this research does not consider hostile takeovers.

Nested in content and process-oriented fashion, the frame provides suitable prequalification analysis for portfolios in a post-merger under the concepts of complexity, uncertainty, risk and value.

This paper aims to discuss the existing literature on critical success factors (CSFs) for maintenance implementation in Nigerian universities and compile them in a single format to determine if gaps may exist.

Many relevant articles were searched using keywords extracted from a preliminary literature review. The second round of articles abstract study resulted in 40 articles been selected for this compilation. Inductive coding technique and content analysis methodology were used to identify the constructs of the CSFs. Subsequently, a critical analysis of the reviewed literature identified some gaps in the literature studied.

This literature review reveals that lack of maintenance policy, maintenance culture, shortage of building facilities and overpopulation in Nigerian universities are the major problems affecting maintenance implementation success. Additionally, most researchers concentrate on the identification of CSFs without providing the strategies for implementing them.

More in-depth research must be carried out on the study of CSFs to implement maintenance policy and culture in Nigerian universities. Duplication in the frequency analysis of the success factors is a significant limitation in this research work and is attributed to the secondary search used as the primary methodology for many articles cited.

This paper provides an in-depth compilation and analysis of all previously identified success factors for maintenance implementation in Nigerian universities using a structured methodological approach.

This paper aims to develop an algorithm to pretest an industrial portfolio on a new scale. Portfolios include complex and uncertain projects at the front-end phase. The study, therefore, proposes a procedure that helps decision-makers to handle various complex projects and defines a common scale applicable to various kinds of industrial projects.

Decision-makers can employ the preference algorithm to reach a common understanding. To this end, the current paper posits the organization of criteria in various project sets. A sexagesimal scale is developed based on project complexity and its ability to achieve broad impact, both these factors being gauged on a five-point scale of user-friendly numberings.

The proposed algorithm shows the equivalence of industrial projects in different fields. Also, the algorithm articulates the status in terms of uncertainty, complexity, risk, and value of projects. The connections between decision-makers and criteria operate on the basis of the foreseen complexity, risk, and value. It can be said that this study exemplifies and visualizes the portfolio and criteria relationship.

The procedure covers contingency exercises at the front-end phase of a portfolio and supports decisions. However, updated information can change support positions.

The paper presents original scoring guidance for portfolio complexity on a new scale. The scaling and scoring are adjustable and calibrated using the proposed sexagesimal system. It presents an original classification of project risk and value. The main contribution is the presented algorithm which can be used to pretest industrial portfolios composed of projects that vary in both size and context.

Danish municipalities are undergoing continuous changes. An important part of these changes are the introduction and implementation of a wide range of development projects. The purpose of this paper is to focus on the challenges of initiation and implementation of development projects in municipalities.

The focus is on development projects, which are defined as projects undertaken to improve the workflow and processes of administrative functions in municipalities. The empirical component is based on two pilot interviews in two municipalities and a quantitative questionnaire distributed to all Danish municipalities.

Extant literature contains limited contributions regarding the overall management of development projects in municipalities. There seems to be an awareness of the importance of developing working procedures to ensure greater efficiency in Danish municipalities, but this development is often not prioritised relative to operational tasks. The absence of prioritisation is an indication of the potential for improving the portfolio management of development projects.

The response to the quantitative questionnaire is provided by one employee in a municipality. As such, the research may reveal the views of one individual in particular and not those of the municipality in general.

The paper provides empirical evidence of the ambidextrous challenges in the context of public sector management. At a more generic level, the paper highlights the importance of improving portfolio management of development projects.

This paper is the first that one to focus on the orchestration of development projects in the public sector (here analysed through Danish municipalities). Management and control of such projects is much more sensitive to political decision processes than are similar tasks in the private sector.

The purpose of this paper is to provide a holistic view of the link between the identification of complexity contributing factors, the application of project management approaches and their impacts on the performance of Information Technology (IT)-enabled change projects.

A qualitative approach of an embedded single-case design comprising three IT-enabled change projects delivered in Australia was used to explore the impact of complexity contributing factors and project management approaches on project performance measures. Semi-structured interviews were used as the main data collection method. Thematic analysis was used as the data analysis approach.

The results from the thematic analysis highlight that complexity contributing factors are related to two categories of complexity defined in this paper: technical uncertainties and uncertainty in goals and deliverables, both have an impact on the performance of IT-enabled change projects. It also highlights key project management approaches such as the use of an adaptive management approach and good communication as key to managing complexity. It also identifies a misalignment between stakeholder perception of success and the project management success measure for complex IT-enabled projects.

The research is based on data collected from Australian participants involved in three case studies. Additional data collection and reviews from practitioners in the field of project management could further refine and improve this research.

The research facilitates the identification of specific complexity contributing factors at the early stage of a project to ensure that the appropriate project management approaches and success measures are used.

The paper contributes to rethinking the pathways towards improving project performance in the IT sector by expanding the identification of project complexity to understanding how complexity and the management approaches impact project performance.