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Public sector data analytics concerns the process of retrieving data, data analysis, publication of the results as well as re-using the data by government organizations to improve their operations and enhance public policy. This paper aims to explore the use of public sector data analytics in the Netherlands and the opportunities and challenges of this use.

This paper finds 74 applications of public sector data analytics, identified by a Web search and consultation with policymakers. The applications are categorized by application type, organization(s) involved and application domain, and illustrative examples are used to elaborate opportunities and challenges.

Public sector data analytics is most frequently used for inspection and enforcement of social services and for criminal investigation. Even though its usage is often experimental, it raises concerns for scope creep, repeated targeting of the same (group of) individuals, personal data use by third parties and the transparency of governmental processes.

Drawing on desk research, it was not always possible to identify which type of data or which technology was used in the applications that were found. Furthermore, the case studies are illustrative rather than providing an in-depth overview of opportunities and challenges of the use of data analytics in government.

Most studies either perform a literature overview or present a single case study; this paper presents a more comprehensive overview of how a public sector uses data analytics.

The purpose of this paper is to define the integration capability dimensions and create a model for self-assessing the integration capability in inter-organizational projects.

A theoretical construct of, referred in this study as integration capability framework is elaborated following a systematic literature review. Thereafter, an integration capability self-assessment model, based on maturity thinking, is derived from the theoretical framework. The self-assessment model is further developed and tested for validity within five inter-organizational project networks in cooperation with industry practitioners, representing construction, industrial engineering, and mining sectors.

The results show that inter-organizational projects can use the developed model in self-assessing the maturity levels of various integration mechanisms, thus the state of integration capability at any point in time during inter-organizational projects.

This study is an attempt to identify how the integration capability dimensions can be self-assessed in inter-organizational projects, through the maturity levels of various integration mechanisms. The results offer insights for both academics and project management practitioners.

Output from the Irish Dairy Industry has grown rapidly since the abolition of quotas in 2015, with processors investing heavily in capacity expansion to deal with the extra milk volumes. Further capacity gains may be achieved by extending the processing season into the winter, a key enabler for which being the reduction of duration of the winter maintenance overhaul period. This paper aims to investigate if Lean Six Sigma tools and techniques can be used to enhance operational maintenance performance, thereby releasing additional processing capacity.

Combining the Six-Sigma Define, Measure, Analyse, Improve, Control (DMAIC) methodology and the structured approach of Turnaround Maintenance (TAM) widely used in process industries creates a novel hybrid model that promises substantial improvement in maintenance overhaul execution. This paper presents a case study applying the DMAIC/TAM model to Ireland’s largest dairy processing site to optimise the annual maintenance shutdown. The objective was to deliver a 30% reduction in the duration of the overhaul, enabling an extension of the processing season.

Application of the DMAIC/TAM hybrid resulted in process enhancements, employee engagement and a clear roadmap for the operations team. Project goals were delivered, and original objectives exceeded, resulting in €8.9m additional value to the business and a reduction of 36% in the duration of the overhaul.

The results demonstrate that the model provides a structure that promotes systematic working and a continuous improvement focus that can have substantial benefits for wider industry. Opportunities for further model refinement were identified and will enhance performance in subsequent overhauls.

To the best of the authors’ knowledge, this is the first time that the structure and tools of DMAIC and TAM have been combined into a hybrid methodology and applied in an Irish industrial setting.

The objective of this research is to explore integration and transition activities in large industrial projects. The purpose is to (a) obtain a better understanding of the integration and transition activities between the project front-end (FE) and project initiation phases (PIPs), (b) explore what, how and when these integrations and transitions occur, and (c) explore what the integration and transition activities mean to project practitioners.

A qualitative research design methodology is followed, based on interviews using open-ended questions. An expert panel is used to provide responses to questions pertaining to the integration and transition between the project FE and PIP. The research is focused on managing large projects in the South African electrical engineering industrial projects industry. A literature review combined with empirical analysis reflects the importance of integrating and transitioning in project business.

The findings provide guidance to researchers and practitioners on integration and transition mechanisms, how and when these occur. It highlights the benefits of integration and transition activities. Important lessons for researchers and practitioners are provided together with areas for future research.

This is an interpretative analysis of expert opinion. Expert panel members are experienced at senior decision-making level, and their expertise was accessed based on experience, education and knowledge. This extensive experience is shared in this paper providing insights into their opinions, experiences, success and failures. These inputs together with the literature review provide interesting implications for both a theoretical foundation as well as practical implications for practitioners.

This article aims to optimise energy use and consumption by integrating Lean Six Sigma methodology with the ISO 50001 energy management system standard in an Irish dairy plant operation.

This work utilised Lean Six Sigma methodology to identify methods to measure and optimise energy consumption. The authors use a single descriptive case study in an Irish dairy as the methodology to explain how DMAIC was applied to reduce energy consumption.

The replacement of heavy oil with liquid natural gas in combination with the new design of steam boilers led to a CO₂ footprint reduction of almost 50%.

A further longitudinal study would be useful to measure and monitor the energy management system progress and carry out more case studies on LSS integration with energy management systems across the dairy industry.

The novelty of this study is the application of LSS in the dairy sector as an enabler of a greater energy-efficient facility, as well as the testing of the DMAIC approach to meet a key objective for ISO 50001 accreditation.

The aim of the study is to explore how the different combinations of traditional and agile project management (APM) enhance project success under different levels of teamwork quality.

The study used system approach, using cluster analysis, to examine the relationships between project success and traditional project management (TPM) and APM under different levels of teamwork quality. A cluster analysis approach provides a method to examine how the entire range of variables combine to improve project success.

The results of the study revealed three profiles of project managers’ differences in teamwork quality and type of project management used: pure agile, TPM leaning hybrid and APM (APM) leaning hybrid. The results found evidence that TPM leaning hybrid received the highest score in project success.

Organizations should develop teamwork skills to learn to use both TPM and APM so that specific risks presented by one approach use are compensated by the use of other. Finally, organizations should have good TPM practices before planning to implement agile practices.

The findings of this study suggest that TPM with high teamwork quality supported by APM can enhance project success. APM supported by TPM contributes to improved project success.

The purpose of this paper is to elaborate the understanding of socialization in the context of temporary operations and organizational settings, using project alliance – the most contemporary approach to the management of large and complex projects – as an example. In particular, the paper also assesses how informal and formal socialization mechanisms are used to facilitate relational capital in such a setting.

Data were collected by two case studies of complex infrastructure projects in a Northern European city. The analysis focuses on how socialization is managed across organizational interfaces within the alliance organization during the project tendering and development phase to create relational capital.

The findings indicate that significant emphasis is put on socialization in project alliances. However, while in the tendering phase both informal and formal socialization mechanisms are used to create relational capital; in the development phase informal socialization mechanisms are associated with higher levels of relational capital and formal socialization mechanisms are used to maintain the level of relational capital.

While operations and supply chain management research argues that socialization is critical to manage organizational interfaces and to create relational capital in buyer-supplier relationships, research has mainly focused on ongoing operations. This study complements the prior research by developing further insight into socialization in the context of temporary operations and organizational settings; such settings create a unique empirical context, posing different managerial challenges as the results also indicate.

The authors set out to show how key private security industry actors in Sweden establish body-worn cameras (BWCs) as a tool to protect private security officers from the public the officers police and to improve the work environment of the officers.

The authors conducted qualitative semi-structured interviews with key personnel involved in the implementation of BWCs. The authors' analysis focused on delineating recurrent moral stories and affirmative environments to show how BWC use was made legitimate as a work environment tool.

The authors show how BWC use by private security officers patrolling public spaces in Sweden is legitimized by four organizational narratives: (1) the vulnerable security officer and the caring employer, (2) defenders of protective regulation, (3) moral selves and morally dubious others and (4) function creep and moral guardians. The authors explain how such organizational narratives are key to establishing and legitimizing the use of BWCs as a tool to improve the work environment of private security guards, and how certain narrative environments promote such organizational narratives in Sweden to improve the work environment of private security guards.

The authors' findings in this article add to a small but growing literature on BWC use in policing outside of the USA and the UK as well as to the hitherto very limited research from the work environment and managerial perspectives. The authors illustrate the importance of organizational narratives and narrative environments for understanding organizational change involving legitimation of new technologies.

To better understand the impact of choosing a carbon data provider for the estimated portfolio emissions across four asset classes. This is important, as prior literature has suggested that Environmental, Social and Governance scores across providers have low correlation.

The authors compare carbon data from four data providers for developed and emerging equity markets and investment grade and high-yield corporate bond markets.

Data on scope 1 and scope 2 is similar across the four data providers, but for scope 3 differences can be substantial. Carbon emissions data has become more consistent across providers over time.

The authors examine the impact of different carbon data providers at the asset class level. Portfolios that invest only in a subset of the asset class may be affected differently. Because “true” carbon emissions are not known, the authors cannot investigate which provider has the most accurate carbon data.

The impact of choosing a carbon data provider is limited for scope 1 and scope 2 data for equity markets. Differences are larger for corporate bonds and scope 3 emissions.

The authors compare carbon accounting metrics on scopes 1, 2 and 3 of corporate greenhouse gas emissions carbon data from multiple providers for developed and emerging equity and investment grade and high yield investment portfolios. Moreover, the authors show the impact of filling missing data points, which is especially relevant for corporate bond markets, where data coverage tends to be lower.

The aim of this article is to give an overview of the development and current state of projectification research. The inquiry was driven by a threefold research question: How has projectification been understood and defined over time, what has the trajectory of the development been and what are the main trends and emerging ideas?

The article is an integrative literature review of research done on the notion of projectification to date. An interdisciplinary, integrative literature review was conducted using Scopus and Web of Science as primary sources of data collection. The full data set consists of 123 journal articles, books, book chapters and conference contributions. With the data set complete, a thematic analysis was conducted.

Among other things, the review outlines the development and scope of projectification research from 1995 until 2021 and discusses four emerging images of projectification: projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue. These characteristics emphasize some common features of each of the images but also imply that the way projectification is understood changes depending on the paradigmatic perspective taken by the researcher, the time and place in which the observation was made and the level of observation.

The authors have outlined and discussed four images of projectification – projectification as a managerial approach, projectification as a societal trend, projectification as a human state and projectification as a philosophical issue – where each image represents a special take on projectification with some prevalent characteristics. By doing this, the authors provide a systematic categorization of research to date and thus a basis upon which other researchers can build when furthering the understanding of projectification at large.