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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.

In our chapter we describe the analysis of categorisations as an important part of narrative criminology. Categorisations of people (as offenders, victims, witnesses, etc.) are a central component of the communicative construction and processing of crime. Categories are associated with assumptions about actions and personal characteristics. Therefore, categorisations play a prominent role in the question of whether and how someone should be dealt with or punished. Narratives essentially consist of categorisations as well as the representation of a temporal course of interactions and actions. Analysing categorisations can therefore provide decisive insights for narrative criminology. With the research method of ‘Membership Categorisation Analysis’, categorisations can be reconstructed in detail. We describe this potential by reconstructing how the defendant ‘Dave’ categorised himself in the context of his main trial and how he was categorised by others in order to justify a judgement against him. Our analysis shows that categorisations, which are socially impactful and often controversial, must be established by particular narrative manoeuvres.

The purpose of this paper is to investigate the engagement with integrated reporting (IR) of the Development Bank of Singapore (DBS), as one of the banks that pioneered IR. Banking industry members face critical sector-specific issues regarding the use of capitals, especially the disclosure of relational and natural capital-related information, and reporting of the outcomes of capitals. This study examines an innovative approach to accounting for multiple capitals adopted by DBS during its journey toward IR.

This empirical research follows the case study method, using semi-structured interviews with DBS’s managers, and analyzing reports and other documentation.

The authors find that DBS re-conceptualizes, re-categorizes and measures multiple capitals as a form of non-financial value using the balance sheet approach to make visible the interactions and potential tensions (trade-offs) among capitals.

Case studies are best used to understand a specific context, so the findings of this study cannot be generalized statistically. However, the study does provide insights into the banking industry that may be applicable to other organizations.

The categorization and reporting of multiple capitals using the balance sheet approach and the integration of the balanced scorecard are innovative operationalizations of the International <IR> Framework.

This study provides an innovative approach to the categorization and measurement of multiple capitals. It represents a step toward reducing the gap between research and practice on IR.

The purpose of this paper is to examine the constructs underpinning risk management and explores its application in the supply chain context through the development of a framework. The constructs of performance and risk are matched together to provide new perspectives for researchers and practitioners.

The conceptual and empirical work in the supply chain management field and other related fields is employed to develop a conceptual framework of supply chain risk management (SCRM). Risk in the supply chain is explored in terms of risk/performance sources, drivers, consequences and management responses, including initial approaches to categorization within these. Two empirical cases are used to illustrate the application of the framework.

A new framework is presented that helps to integrate the dimensions of risk and performance in supply chains and provide a categorisation of risk drivers.

SCRM is at an early stage of evolution. The paper provides a clarification of the dimensions and constructs within this field together with directions for future research and development.

The focus on performance in terms of efficiency and effectiveness linked to risk drivers and risk management responses provides insights to managing and measuring risk in supply chains.

The paper consolidates the work in an emerging strand of supply chain management. Two key challenges facing the research community are addressed, the ability to prescribe strategies to address particular risk drivers and the interaction of risk management and performance.

This paper aims to identify the dimensions of a firm’s service innovation competence. This paper also aims to establish the relationship between a firm’s service innovation competence dimensions and customer-oriented service innovation configurations and customer adoption. This study probes the supply side of service innovation to assess the key drivers or capabilities that influence the service innovation process at the firm level.

This study uses the triangulation method using existing theoretical concept supplemented by 18 in-depth interviews of senior level managers from service firms from three sectors – hospitality, mobile telecommunication services and financial services. The interview findings were supplemented by 12 service innovation case studies (four from each sector). Content analysis of in-depth interviews was performed using three raters, and inter-rater reliability was tested. Case studies were categorized in terms of the strength of the innovation competence dimension observed.

Based on the content analysis of the interviews and categorization of case study observations, six distinct dimensions of the firm’s service innovation competence were identified. Four attributes of each dimension were also identified. Based on the interview insights and case observations, seven propositions are suggested, and a conceptual framework is presented to establish the relationship between the firm’s service innovation competence dimensions and service innovation configurations and customer adoption.

This study was conducted in the Indian context and remains to be tested using quantitative research. Therefore, researchers are encouraged to test the proposed framework in a different geographical context to ascertain its validity.

The conceptual framework presented in the paper may help managers of service firms in building innovation capabilities that are relevant to development of customer-oriented innovations. This would lead to better customer adoption of their new services.

This paper fills an important knowledge gap regarding the dimensions of a critical supply-side component of service innovation, that is, innovation competence. Clear identification of competence dimensions and their relationship with customer adoption extends the current knowledge on service innovation.

Energy use in buildings needs to be reduced to meet political goals; however, reducing energy use can conflict with heritage preservation objectives. The purpose of this paper is to demonstrate a method that combines quantitative and qualitative analyses of the potential of energy savings in an historic building stock. Specifically, this study examines how requirements of historic building preservation affect the energy saving potential on a building stock level.

Using the World Heritage Town of Visby, Sweden as a case study, this paper illustrates a step-by-step method as a basis for implementing energy savings techniques in an historic building stock. The method contains the following steps: categorisation of a building stock, definition of restriction levels for energy renovation scenarios and life cycle costs optimisation of energy measures in archetype buildings representing the building stock. Finally, this study analyses how different energy renovation strategies will impact heritage values and energy saving potentials for different categories of buildings.

The outcome of the study is twofold: first, the method has been tested and proven useful and second, the results from the application of the method have been used to formulate differentiated energy renovation strategies for the case study.

The study shows that it is possible to integrate techno-economic analysis with assessment of heritage values in a given building stock in order to facilitate a strategic discussion balancing policies and targets for energy savings with policies for the preservation of heritage values. The findings will contribute to sounder policy development and planning for historic building stocks.

The main focus of this paper is to discuss appropriate forms of higher education for building up students' competence for working on complex real‐world problems.

Within this paper the Harvard approach is accurately compared with the ETH approach by discussing theoretical and practical implications as well.

It is argued that the Harvard case study approach is a sensible approach to bridging the gap between the academic and the practical world, but it has important limits in preparing students to cope with complex real‐world problems. In some important respects, the ETH case study approach goes further by exposing students directly to the multi‐faceted and complex character of real‐world problems.

The ETH approach puts additional demands on students and teachers to bridge the gap between university and society with a high degree of responsibility. Consequently, a combination of both the Harvard and the ETH approach might be interesting.

The comparison of the Harvard case study approach with the ETH case study approach is novel. The discussion of educational together with practical implications provides insight to the peculiarities of each single approach together with an orientation for their implementation within higher education. Guidance is given to universities who are deciding what educational means have to be implemented in order to prepare their students for the task of solving complex real‐world problems in an inter but also transdisciplinary manner.

Many studies have underlined data use for school improvement. However, these are mainly based on developed countries; studies on data use are still lacking on developing countries. The purpose of this paper is to investigate data use in Indonesian primary schools. This study is based on a conceptual framework focusing on kinds of data, purposes of data use and factors promoting or hindering data use in schools.

The authors employed a mixed-method research design, with a total of 194 teachers and 28 heads of schools from 60 schools participating in the survey. Based on the survey analysis, six schools were purposively sampled for a multiple-case study approach.

The results show that Indonesian primary schools have similar kinds of data available and most data are used for accountability purposes only. These findings might be explained by the government trying to counter-balance the schools’ autonomy, so that the focus of data use seems to be more on accountability than on school development and instructional purposes. The results also reveal that the factors had a different influence for each data use purpose: high data use schools provided insight into promoting factors, while the low data user schools provided an understanding of hindering factors.

This study makes a scientific contribution by offering understanding of data use in a different context. Indonesia has become decentralized in most state functions, including education. Therefore, this study can be used as a guideline for future studies of data use in other developing countries context in supporting the decentralization of educational systems.

Innovation competence has become an essential requirement for technology-based organizations to survive in the new economy. Commitment to long-term objectives and learning are considered as indispensable for building innovation competence. Communication networks play a crucial role in both these aspects. In this context management faces the question of how the characteristics as well as the contents of communication present in the network will influence the innovation competence. In this paper a literature study is done to present an understanding of the relationships between communication networks and innovation competence. The paper proposes that the characteristics of communication (frequency, diversity, and centrality) along with the content of communication (shared vision, shared task knowledge, and shared social knowledge) significantly affect the elements necessary to build technological innovation.

This paper aims to examine graduate student learning experiences and perceptions of quality and the extent to which these learners were living the intended experiences that academic programs are seeking to foster.

Using a multiple case-study design, a three-stage interview protocol used with six PhD candidates across three faculties as well as 25 institutional, provincial and national documents served as principal sources of data. A within-case analysis was performed for each case and compared via a cross-case analysis.

The four principal factors that characterized the PhD candidate learning experience emerged as the significance of intentional individualized guidance; the importance of social interactions and community; becoming an independent scholar; and the transformative nature of learning. Gaps were identified between institutional intent and the learner experience. Recommendations are made regarding the adoption of indicators of quality that focus on student learning and notions of transformation.

This investigation attempts to tell distinct and shared stories of the highly contextualized and complex phenomenon of quality in PhD student learning. With limited information regarding how programmatic development is lived by students, this study’s comparison of institutional characterizations and student perceptions of quality sheds light on existing strengths to leverage, and gaps to invest in, at the institutional and program levels.