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Intumescent coatings are nowadays a dominant passive system used to protect structural materials in case of fire. Due to their reactive swelling behaviour, intumescent coatings are particularly complex materials to be modelled and predicted, which can be extremely useful especially for performance-based fire safety designs. In addition, many parameters influence their performance, and this challenges the definition and quantification of their material properties. Several approaches and models of various complexities are proposed in the literature, and they are reviewed and analysed in a critical literature review.

Analytical, finite-difference and finite-element methods for modelling intumescent coatings are compared, followed by the definition and quantification of the main physical, thermal, and optical properties of intumescent coatings: swelled thickness, thermal conductivity and resistance, density, specific heat capacity, and emissivity/absorptivity.

The study highlights the scarce consideration of key influencing factors on the material properties, and the tendency to simplify the problem into effective thermo-physical properties, such as effective thermal conductivity. As a conclusion, the literature review underlines the lack of homogenisation of modelling approaches and material properties, as well as the need for a universal modelling method that can generally simulate the performance of intumescent coatings, combine the large amount of published experimental data, and reliably produce fire-safe performance-based designs.

Due to their limited applicability, high complexity and little comparability, the presented literature review does not focus on analysing and comparing different multi-component models, constituted of many model-specific input parameters. On the contrary, the presented literature review compares various approaches, models and thermo-physical properties which primarily focusses on solving the heat transfer problem through swelling intumescent systems.

The presented literature review analyses and discusses the various modelling approaches to describe and predict the behaviour of swelling intumescent coatings as fire protection for structural materials. Due to the vast variety of available commercial products and potential testing conditions, these data are rarely compared and combined to achieve an overall understanding on the response of intumescent coatings as fire protection measure. The study highlights the lack of information and homogenisation of various modelling approaches, and it underlines the research needs about several aspects related to the intumescent coating behaviour modelling, also providing some useful suggestions for future studies.

The present study aims to examine the scope and contribution of behavioural investigative advice (BIA) reports from the National Crime Agency (NCA).

The 77 BIA reports reviewed were written between 2016 and 2021. They were evaluated using Toulmin’s (1958) strategy for structuring pertinent arguments, current compliance with professional standards, the grounds and backing provided for the claims made and the potential utility of the recommendations provided.

Consistent with previous research, most of the reports involved murder and sexual offences. The BIA reports met professional standards with extremely high frequency. The 77 reports contained a total of 1,308 claims of which 99% were based on stated grounds. A warrant and/or backing was provided for 73% of the claims. Most of the claims in the BIA reports involved a behavioural evaluation of the crime scene and offender characteristics. The potential utility of the reports was judged to be 95% for informative behavioural crime scene analysis and 40% for potential new lines of enquiry.

The reports should serve as a model for the work of behavioural investigative advisers internationally.

To the best of the authors’ knowledge, this is the first study to systematically evaluate BIA reports commissioned by the NCA; it adds to previous similar studies by evaluating the largest number of BIA reports ever reviewed, and uniquely provides judgement of overall utility.

Despite the widespread studies on the attitudes about OA, there exists little comparative evidence about the opinions of author and non-author parties at a global level in a social context. To bridge the gap, this study first investigated the opinions of the users who posted at least one tweet about OA in 2019. Then, it zoomed in to explore the views of the OA-interested tweeters, i.e. the users who have posted five or more tweets about OA.

Using a content analysis method, with an opinion-mining approach, this study examined a sample of 9,268 OA-related tweets posted by 5,227 tweeters in 2019. The sentiments were analyzed using SentiStrength. A threshold of at least five tweets was set to identify the OA-interested tweeters.

Academics and scholars, library and information professionals, and journals and publishers were the main OA-interested tweeters, implying that OA debates have not been widely propagated from its traditional audience to the general public. Despite an overall positive attitude, the tweeters showed negative perspectives about the gold and hybrid models, validity and quality, and costs and funds. The negativity depended on the OA features tweeted, the tweeters' occupations and gender, as well as the trends.

The low societal impact of the OA debates calls for solutions to attract the public's attention and to exploit their potential to achieve the OA ideals. The OA stakeholders' divergence necessitates finding solutions to remedy the pitfalls. It also underlines the need for scrutiny into social layers when studying society's opinions and behaviors in a social network.

This is the first study in estimating the extent of the societal impact of OA debates, comparing the social OA stakeholders' opinions and their dependence on the OA features tweeted, the tweeter roles and gender and the tweet trending status.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0502

Considering the emergence of e-commerce platforms and their integration into marketing channels, this paper aims to investigate how artificial intelligence (AI) resources – both technological and human – possessed by e-commerce platforms can enhance their channel power by acquiring market-based assets (relational and intellectual).

Based on resource-based theory and resource orchestration theory, the authors developed a framework tested using survey data gathered from the sellers, which incorporated six key variables: the e-commerce platform’s AI technology resources and human resources, rational and intellectual market-based assets, intraplatform competition and channel power. The analyses are performed using the regression analysis technique.

The empirical findings indicate that both technological and human AI resources are crucial in building channel power. In addition, market-based assets serve as a mediator in this relationship, while intraplatform competition moderates the effect of intellectual market-based assets on channel power negatively.

This study contributes to the existing literature by exploring how e-commerce platforms’ AI resources affect their channel power. The results offer valuable guidance to managers and researchers on optimizing AI resources to improve channel power.

The purpose of this study is to investigate (1) how organizational culture influence student academic behavior at universities in Indonesia; (2) if there is any difference between male and female students in perceiving elements of organizational culture and its effects on student academic behavior; and (3) if there is any difference among students from different university origin in perceiving elements of organizational culture and its effects on student academic behavior.

This study is a part of quantitative research with a prediction design involving survey questionnaire. Participants consist of 800 students as survey respondents that were selected purposively from six government universities of the specified cities in Indonesia. Measures are developed and validated through a confirmatory factor analysis. Data were analyzed using multivariate techniques and path analysis to examine effects of organizational culture types on student academic behavior.

Findings of this study indicate that in general organizational culture significantly influenced the growth of student academic behavior.

The study is limited to public or government universities in Indonesia, that is why and the findings are not intended to generalize all universities in the world.

Leaders of the university organizations or units are suggested to improve their capacities in exploring the trend of organizational cultures, develop and adopt the cultures that contribute to the growth of student academic behavior.

The study provides high valued insights for university organizations especially people involved in the process of university leadership and management on how they deal effectively with organizational situations including types organizational culture, and develop the cultures that contribute to the growth of student academic behavior.

The study adds to the theories of organizational culture and the growth of student academic behavior on campus. It provides broad insights on types of organizational culture used in universities and its effects on academic behaviors performed by students in campus environment.