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The purpose of this article is to show the gains that can be made if researchers were to use gain-probability (G-P) diagrams.

The authors present relevant mathematical equations, invented examples and real data examples.

G-P diagrams provide a more nuanced understanding of the data than typical summary statistics, effect sizes or significance tests.

Gain-probability diagrams provided a much better basis for making decisions than typical summary statistics, effect sizes or significance tests.

G-P diagrams provide a completely new way to traverse the distance from data to decision-making implications.

The objective of the chapter is to provide an integrative appraisal of recent participatory research projects with children on violence and maltreatment conducted by members of the COST Action CA 19106 working group on children's participation (WG3) and their colleagues to identify what is working well and what needs to change in future research. The evaluation of research examples clustered around four key questions: Why, when, how and how much do children participate in research? Data were collected using a unified tool designed to characterise participatory research, which was distributed among WG3 members. In addition, chapters of the current book were another source of data about participatory research. Overall, data on 19 studies involving 46,761 children were collected and analysed using Shier's matrix. Findings show that most studies (n = 10) engaged children as consultants to adults in data collection, whereas a few studies (n = 5) demonstrated a more children-led research approach. The analysis uncovered specific areas where more progress is required, including engaging children in decisions about the research topic, involving young children, utilising methods that are more natural and familiar to children, and gaining children's reflective accounts about their participation experience. The authors encourage scholars to publish their work to advance evidence-based knowledge and skills in participatory research with children about sensitive topics.

The purpose of this paper is to review and discuss Luciano Floridi’s 2019 book The Logic of Information: A Theory of Philosophy as Conceptual Design, the latest instalment in his philosophy of information (PI) tetralogy, particularly with respect to its implications for library and information studies (LIS).

Nine scholars with research interests in philosophy and LIS read and responded to the book, raising critical and heuristic questions in the spirit of scholarly dialogue. Floridi responded to these questions.

Floridi’s PI, including this latest publication, is of interest to LIS scholars, and much insight can be gained by exploring this connection. It seems also that LIS has the potential to contribute to PI’s further development in some respects.

Floridi’s PI work is technical philosophy for which many LIS scholars do not have the training or patience to engage with, yet doing so is rewarding. This suggests a role for translational work between philosophy and LIS.

The book symposium format, not yet seen in LIS, provides forum for sustained, multifaceted and generative dialogue around ideas.

Despite increasing interest in digital services and products, the emergence of digitalization in the logistics and supply chain (L&SC) industry has received little attention, in particular from organizational theorists. In response, taking an institutionalist view, the authors argue that the emergence and adoption of digitalization is a socially constructed phenomenon.

This paper shows how actor-level frameshifts contribute to an emergence of an overarching “digitalization logic” in the L&SC industry at the field level. Building on a longitudinal analysis of field actors' frames and logics, the authors track the development of digitalization over the last 60 years in the L&SC sector.

The authors classify specific time periods by key field-configuring events, describe the relevant frameshifts in each time period and present a process that explains how and why digitalization has emerged, been adopted and manifested itself in the L&SC industry.

The findings of the study provide insights about the evolution of a digitalization logic and thus advance the institutional view on digitalization in the L&SC industry.

Laser sintering of polyamide lattice-based lightweight fairing components for subsequent racetrack testing requires a high quality and a reliable design. Hence, the purpose of this study was to develop a design methodology for such additively manufactured prototypes, considering efficient generation and structural simulation of boundary conformal non-periodic lattices, optimization of production parameters as well as experimental validation.

Multi-curved, sandwich structure-based demonstrators were designed, simulated and experimentally tested with boundary conformal lattice cells. The demonstrator’s non-periodic lattice cells were simplified by forward homogenization processes. To represent the stiffness of the top and bottom face sheet, constant isotropic and mapped transversely isotropic simulation approaches were compared. The dimensional accuracy of lattice cells and demonstrators were measured with a gauge caliper and a three-dimensional scanning system. The optimized process parameters for lattice structures were transferred onto a large volume laser sintering system. The stiffness of each finite element analysis was verified by an experimental test setup including a digital image correlation system.

The stiffness prediction of the mapped was superior to the constant approach and underestimated the test results with −6.5%. Using a full scale fairing the applicability of the development process was successfully demonstrated.

The design approach elaborated in this research covers aspects from efficient geometry generation over structural simulation to experimental testing of produced parts. This methodology is not only relevant in the context of motor sports but is transferrable for all additively manufactured large scale components featuring a complex lattice sub-structure and is, therefore, relevant across industries.

To review the literature and identify research gaps in the role and influence boards of directors of companies have in occupational health and safety (OHS).

This was done in a scoping review built on a structured search in MEDLINE (PubMed), EMBASE, PsycINFO, Sociological Abstracts, CCInfoWeb, EconLit, Web of Science, CINAHL and gray literature. Citations and reference lists were tracked. Inclusion criteria were publication in English. Exclusion criteria were studies covering companies using subcontractors to arrange OHS, or with <250 employees.

Forty-nine studies were included. The majority contained empirical data (n = 28; 57%), some were entirely normative (n = 16; 33%), and a few contained normative claims far beyond empirical data (n = 5; 10%). Empirical studies gave no insight into the scope of impact of board activities on OHS, and no studies assess the causal mechanisms by which board activities influence OHS outcomes. Most studies focused on both health and safety (n = 20; 41%) or only safety (n = 15; 31%). Context might explain the focus on safety rather than health, but is not clearly elucidated by the studies. Several studies are describing leadership behavior, although not framed as such. A narrative summary is presented to facilitate future research.

Future research should include: (1) which board activities influence OHS, (2) how board activities influence OHS, (3) the influence of context and (4) the leadership role of boards of directors.

This study identifies a total lack of research on the basic mechanics of the relationship between boards and OHS.

This paper aims to better understand how accountability for sustainability takes shape within organisations and specifically, what makes employees act in a Swedish local authority. This aim moves beyond the prevalent external face of accountability in social and environmental accounting research by observing how employees understand and act upon their multiple accountability demands.

This paper adopts a single case study approach within a Swedish local authority, drawing from qualitative data including semi-structured interviews, site visits and governing documents.

Sustainable action is not only the product of hierarchically enforced structural accountabilities and procedures but often must be reconciled with the personal perspectives of the public sector employees involved as part of an accountability dynamic. Additionally, the findings reveal that hierarchical accountability, rather than serving to individualise and isolate employees, acts as a prompt for the more practical and personal reconciliations of accountability with the ethics and experiences of the individual involved.

Greater consideration to employee socialisation processes in public sector organisations should be given to reinforce organisational governance systems and controls, and thus help ensure sustainable behaviour in practice.

Employee socialisation processes are important for the development of sustainable practices both within and beyond organisational boundaries.

This study considers the interrelatedness of hierarchical and socialising accountability measures and contributes towards the understanding of the relationship between these two accountability forms, contrary to previous understandings that emphasise their contrasting nature and incompatibility.

Semantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking the luxury of centralized database administration, database schemes, shared attributes, vocabulary, structure and semantics. The existing dataset catalogs provide basic search functionality relying on keyword search in brief, incomplete or misleading textual metadata attached to the datasets. The search results are thus often insufficient. However, there exist many ways of improving the dataset discovery by employing content-based retrieval, machine learning tools, third-party (external) knowledge bases, countless feature extraction methods and description models and so forth.

In this paper, the authors propose a modular framework for rapid experimentation with methods for similarity-based dataset discovery. The framework consists of an extensible catalog of components prepared to form custom pipelines for dataset representation and discovery.

The study proposes several proof-of-concept pipelines including experimental evaluation, which showcase the usage of the framework.

To the best of authors’ knowledge, there is no similar formal framework for experimentation with various similarity methods in the context of dataset discovery. The framework has the ambition to establish a platform for reproducible and comparable research in the area of dataset discovery. The prototype implementation of the framework is available on GitHub.

The purpose of this study is to assess teachers' and principals' perception towards the role of collective learning (CL) and application in building professional learning communities (PLCs) in schools in one selected circuit in the Zambezi Region.

Quantitative research method was used, and the data were collected using PLCs’ questionnaires revised for circuit and region in Namibia. A total of 340 teachers and principals in primary, combined and secondary schools were involved in this research. Based on teachers and principals' assessment, high- and low-performing factors of CL are presented and explained.

The major findings are that the majority of participants either strongly agreed or agreed with almost all the statements. It was only in the statement that “teachers and the broader community role players come together to discuss better ways to solve problems” that a majority of participants disagreed. This research challenges all those involved in building up PLCs to think more about CL when they are in the process of structuring their schools as PLCs.

This article is the original work of these authors and has not been submitted to other journals for publication.