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This paper aims to explore the nonfinancial drivers of value creation that influence an investment decision and present a set of drivers that contribute with a useful integrated reporting to its providers of financial capital using evidence from Brazil.

This paper is based on a systematic literature review in the Scopus, Web of Science and Google Scholar databases in the period from 2005 to 2020. Interpretive content analysis is used in 42 documents identified to explore nonfinancial drivers to demand by providers of financial capital, which are classified according to the capitals nonfinancial suggested by the integrated report (IR). Then, the results are evaluated by Brazilian professional investors in a focus group.

The members of the focus group do not consider the IR relevant to investment decision and neither the information about natural capital nor social capital. They highlighted two nonfinancial drivers of value not identified in the previous literature.

The focus group is limited by subjects’ availability and by the participants’ number. But its results represent initial discussions on the subject in the Brazilian context.

The results of this study have value, principally, to investors, target audience of IR, because it aligns your demands with the IRs content, improving its usefulness.

To the best of the authors’ knowledge, this manuscript is the first study to investigate the perception of Brazilian professional investors about the importance of the IR in investment decision-making and to identify content relevant to the financial capital provider’s investment decision, which can improve the usefulness of IR.

This paper aims at understanding the differences between user profiles in collaborative consumption (CC) platforms in order to improve their management approaches and set up customized strategies. Particularly, the authors investigate the emerging role of prosumers and their influence on the active participation and growth of CC platforms. Moreover, the authors study user experience to help promoting users' recommendation and offering intention.

The sample includes responses from 6,388 users of CC platforms across the EU. The data were collected through the European Commission's Flash Eurobarometer survey 467 and analyzed through a partial least squares structural equation modeling (PLS-SEM) and a fuzzy set qualitative comparative analysis (fsQCA).

The PLS-SEM findings suggest that prosumers are more likely than consumers to recommend and offer services through CC platforms. Furthermore, previous experience using platforms positively affects the switch from consumers to prosumers. The fsQCA suggests that only economic advantages affect the switchover decision.

This study deepens the hitherto unexplored prosumer role in CC platforms and its antecedents and drivers.

The main limitations concern the generalizability outside of the EU, the unbalanced coverage of sectors and the number of moderator variables.

Prosumers act as golden actors because they contribute to enlarge both the customer base (through recommendations) and the provider base (through offering intention). Hence, managers should focus on prosumers' experiences to increase the critical mass and positive externalities of CC platforms.

This study helps understand the importance of the role of prosumers in the growth of CC platforms. The study provides more robust results through a cross-country and mixed-method research.

This study aims to investigate the nonfinancial information related to capitals (intellectual, human, social and relationship, and natural) demanded by professional investors in their decision-making process, which can improve the usefulness of integrated reporting for this target audience.

A Systematic Literature Review in the Scopus, Web of Science and Google Scholar databases enabled the identification of information demanded by professional investors. This information was presented to experienced Brazilian investors participating in a focus group to align the theory on this topic with professional practice.

The results allow us to conclude that the focus group participants' perception is aligned with the international literature, both in the importance given to most of the nonfinancial information items identified and in the lack of interest in using integrated reporting in investment decisions. Nonetheless, the general perception of the focus group is not aligned with the literature procedures in terms of social and environmental information.

A study with a larger scope and the adoption of other approaches can contribute to broaden the understanding of the perspectives of professional investors in Brazil, as well as in other regions.

The authors provide evidence that contributes to discussions about the information to be disclosed in integrated reports. Their results are useful to legislators, regulators, report preparers and investors.

The authors investigate the information demanded by professional investors in their decision-making process aiming to fill the literature gap relating the determinants of the integrated reporting disclosure and what is demanded by this target audience as a minimum content to be reported. As an additional result they offer interesting contributions to the literature providing reflections on nonfinancial information which have become important for Brazilian investors as from the COVID-19 pandemic.

This research aims to extract Industry 4.0 technological building blocks (TBBs) capable of value generation in collaborative consumption (CC) and the sharing economy (SE). Furthermore, by employing a mixed methodology, this research strives to analyse the relationship amongst TBBs and classify them based on their impact on CC.

Due to the importance of technology for the survival of collaborative consumption in the future, this study suggests a classification of the auxiliary and fundamental Industry 4.0 technologies and their current upgrades, such as the metaverse or non-fungible tokens (NFT). First, by applying a systematic literature review and thematic analysis (SLR-TA), the authors extracted the TBBs that impact on collaborative consumption and SE. Then, using the Bayesian best-worst method (BBWM), TBBs are weighted and classified using experts’ opinions. Eventually, a score function is proposed to measure organisations’ readiness level to adopt Industry 4.0 technologies.

The findings illustrated that virtual reality (VR) plays a vital role in CC and SE. Of the 11 TBBs identified in the CC and SE, VR was selected as the most determinant TBB and metaverse was recognised as the least important. Furthermore, digital twins, big data and VR were labelled as “fundamental”, and metaverse, augmented reality (AR), and additive manufacturing were stamped as “discretional”. Moreover, cyber-physical systems (CPSs) and artificial intelligence (AI) were classified as “auxiliary” technologies.

With an in-depth investigation, this research identifies TBBs of Industry 4.0 with the capability of value generation in CC and SE. To the authors’ knowledge, this is the first research that identifies and examines the TBBs of Industry 4.0 in the CC and SE sectors and examines them. Furthermore, a novel mixed method has identified, weighted and classified pertinent technologies. The score function that measures the readiness level of each company to adopt TBBs in CC and SE is a unique contribution.

The purpose of this study was to explore the clinical readiness of simulation-based education (SBE) in preparing nursing and midwifery students for clinical practice in sub-Saharan Africa. This study has synthesised the findings from existing research studies and provides an overview of the current state of SBE in nursing and midwifery programs in the region.

A qualitative meta-synthesis of previous studies was conducted using the following steps: developing a review question, developing and a search strategy, extracting and meta-synthesis of the themes from the literature and meta-synthesis of themes. Five databases were searched for from existing English literature (PubMed, Cumulative Index for Nursing and Allied Health Professional Literature [CINAHL], PsycINFO, EMBASE and ScienceDirect Medline, CINAHL and Science Direct), including grey literature on the subject. Eight qualitative studies conducted in sub-Saharan Africa between 2014 and 2022 were included. Hawker et al.'s framework was used to assess quality.

The following themes emerged from the literature. Theme 1: Improved skills and competencies through realism and repetition. Theme 2: Improved skills and competencies through realism and repetition. Theme 3: Improved learning through debriefing and reflection. Theme 4: Constraints of simulation as a pedagogical teaching strategy.

The qualitative meta-synthesis intended to cover articles from 2012 to 2022. Between 2012 and 2013, the authors could not identify purely qualitative studies from sub-Saharan Africa. The studies identified were either mixed methods or purely quantitative. This constitutes a study limitation.

Findings emphasise educator training in SBE. Comprehensive multidisciplinary training, complemented by expertise and planned debriefing sessions, serves as a catalyst for fostering reflective learning. Well-equipped simulation infrastructure is essential in preparing students for their professional competencies for optimal patient outcomes. Additional research is imperative to improve the implementation of SBE in sub-Saharan Africa.

The originality and value of SBE in nursing and midwifery programs in sub-Saharan Africa lie in its contextual relevance, adaptation to resource constraints, innovative teaching methodologies, provision of a safe learning environment, promotion of interprofessional collaboration and potential for research and evidence generation. These factors contribute to advancing nursing and midwifery education and improving healthcare outcomes in the region. This study fills this gap in the literature.

The purpose of this paper is to identify the factors determining students’ attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning purpose based on technology acceptance model.

The recommended model was empirically tested with partial least squares structural equation modeling using 375 student survey responses.

The study revealed that students have a favorable view of the instructional use of ChatGPT. Usefulness, social presence and legitimacy of the tool, as well as enjoyment and motivation, contribute to a favorable attitude toward using this tool in a learning environment. However, perceived ease of use was not found to be a significant determinant in the adoption and utilization of ChatGPT by the students.

This research is intended to benefit enterprises, academic institutions and the global community by offering light on how students perceive the ChatGPT service in an educational setting. Furthermore, the application enhances confidence and interest among learners, leading to improved literacy and general awareness. Eventually, the outcome of this research will help AI developers to improve their product and service delivery, as well as benefit regulators in regulating the usage of AI-based bots.

Due to its novelty, the current research on AI-based ChatGPT usage in the education sector is rather restricted. This study provides the adoption aspects of ChatGPT, a new AI-based technology for students, thereby contributing significantly to the existing research on the adoption of advanced education technologies. In addition, the literature lacks research on the adoption of ChatGPT by students for educational purposes; this study addresses this gap by identifying adoption determinants of ChatGPT in education.

Employee burnout is increasingly coming under attention due to its negative impact on employee well-being and organisational effectiveness. This study, a systematic review, aims to evaluate the role of servant leadership and its mediators in preventing and mitigating against burnout experiences in organisations.

A preferred reporting items for systematic review and meta-analyses (PRISMA) was conducted using three databases, Academic search Complete, Embase and Scopus, in addition to bibliography searches. Articles were included if they reported on primary data, in English from inception to 2023. The mixed methods critical appraisal tool was used to assess the quality of articles, and a narrative synthesis was used to report results.

The search strategy yielded 4,045 articles, of which (N = 17), with total sample size of (N = 10,444) are included. Findings suggest that servant leadership is predictive of burnout, and that several mediators impact this relationship. Most studies were conducted in health care (n = 8) and banking (n = 3), and while the quality of the studies was mostly high (64%), the methods used were mainly descriptive and cross-sectional, which limits the extent to which causality can be inferred. A theory of change is provided based on the findings from this review and integrated with the extant literature on servant leadership theory, and can be used by organisations to support the policy, training and practice of servant leadership to reduce burnout.

Servant leadership is predictive of burnout; however, further research needs to be undertaken in this important emerging area.

The paper seeks to introduce the “critical open access literacy” construct as a holistic approach to confront the challenges in open access (OA) as a dimension of scholarly communication.

The paper first introduces the concepts of information literacy (IL) and OA in the context of transformations in the scholarly information environment. Via a theoretical-analytical exercise on the basis of a literature review of the intersections between the two concepts and of the criticisms of OA, the paper discusses the role of critical IL in addressing the challenges in OA and lays the theoretical-conceptual groundwork for the critical OA literacy construct.

The structural nature of the challenges and transformations in the scholarly information environment require new foci and pedagogical practices in library and information studies. A more holistic, critical and integrative approach to OA is warranted, which could effectively be achieved through the re-conceptualization of IL.

The paper specifies the avenues for putting the theoretical conceptualizations of critical OA literacy into practice by identifying possible foci for IL instruction alongside a transformed role for librarians.

The paper extends deliberations on the role of critical IL for scholarly communication and attempts to advance the research fields of the two domains by proposing a new construct situated at the junction of OA and IL.

Waiting for a bus may represent a period of intense exposure to traffic particles in hot and noisy conditions in the street. To lessen the particle load and tackle heat in bus stops a shelter was equipped with an electrostatic precipitator and a three-step adiabatic cooling system capable of dynamically adjust its operation according to actual conditions. This study evaluates the effectiveness of the Airbitat Oasis Smart Bus Stop, as the shelter was called, to provide clean and cool air.

The particle exposure experienced in this innovative shelter was contrasted with that in a conventional shelter located right next to it. Mass concentrations of fine particles and black carbon, and particle number concentration (as a proxy of ultrafine particles) were simultaneously measured in both shelters. Air temperature, relative humidity and noise level were also measured.

The new shelter did not perform as expected. It only slightly reduced the abundance of fine particles (−6.5%), but not of ultrafine particles and black carbon. Similarly, it reduced air temperature (−1 °C), but increased relative humidity (3%). Its operation did not generate additional noise.

The shelter's poor performance was presumably due to design flaws induced by a lack of knowledge on traffic particles and fluid dynamics in urban environments. This is an example where harnessing technology without understanding the problem to solve does not work.

It is uncommon to come across case studies like this one in which the performance and effectiveness of urban infrastructure can be assessed under real-life service settings.

The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.