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The purpose of the study is to examine the stakeholder identification (SI) methods used in building projects procured by private corporate organisations in Southwestern Nigeria to draw a correlation between methods used for SI and project performance in the study area, thereby enhancing project performance.

The study used a census survey to purposively select 30 projects managers (who indicated from a first-stage questionnaire) that they have participated in structured stakeholder management (SM) from a list of 106 project managers and client representatives who have been involved in SM of building projects procured by private corporate organisations between 2008 and 2017 in the study area. A second-stage questionnaire was designed to elicit information from the respondents. The quantitative data that were collected were analysed using mean score (MS) analysis and Analysis of variance (ANOVA).

The study found that brainstorming in group meetings (MS = 4.33), interviews with the expert (MS = 3.20) and identification by other stakeholders (MS = 3.00) are the most frequently used SI methods in the study area. It was also found that the use of a questionnaire (MS = 0.87), Delphi method (MS = 0.80) and public hearing (MS = 0.57) was rare for SI in the study area. A further result showed that there was no significant difference in the opinion of project managers on 85% of methods used for SI in the study area irrespective of the procurement method employed.

The study examined the methods project managers used for SI on building projects procured by private corporate organisations to advocate for more robust and all-inclusive SI methods.

The study empirically examined methods used for SI and correlated them to project performance.

This study aims to investigate the futuristic visions of PhD students at Distance Education department of Anadolu University on the use of learning analytics (LA) and mobile technologies together.

This qualitative research study, designed in the single cross-section model, aimed to reveal futuristic visions of PhD students on the use of LA in mobile learning. In this respect, SCAMPER method, which is also known as a focused brainstorming technique, was used to collect data.

The findings of the study revealed that the use of LA in mobile can solve everyday problems ranging from health to education, enable personalized learning for each learner, offer a new type of evaluation and assessment and allow continuous feedback and feedforwards; yet this situation can also arise some ethical concerns since the big data collected can threaten the learners by interfering with their privacy, reaching their subconscious and manipulating them as well as the whole society by wars, mind games, political games, dictation and loss of humanity.

The research is limited with the views of six participants. Also, the sample of the study is homogeneous in terms of their backgrounds – their age range, their departments as PhD students and their fields of expertise.

The positive perceptions of PhD students provide a ground for the active use of LA in mobile. Further, big data collected through LA can help educators and system makers to identify patterns which will enable tailored education for all. Also, use of LA in mobile learning may stimulate the development of a new education system including a new type of evaluation and assessment and continuous feedback and feedforwards.

The widespread use of mobile technologies opens new possibilities for LA in the future. The originality of this research comes from its focus on this critical point.

This research study assessed the mindset of individuals regarding their perception of innovation as a means for successful product or process improvement and their perception of thought processes that underpin innovative practices. It investigated the attitudinal foundation for the development of training, development and assessment of structured innovation methodologies.

A combination of qualitative and quantitative research gathered through an anonymous survey designed to explore the basic understanding of innovation and included open-ended questions supported more integrated perceptions of innovation in the sampled population's own experiences. The participants of the survey and research were drawn from the public, but it focused more specifically on demographic groups known for their interest in innovation, either as practitioners or teachers.

The results found, overwhelmingly, survey participants believed innovation is a skill; however, they also believed, inconsistently, that innovation itself is an unpredictable, unstructured and unsystematic process.

At a practical level, exploring the propensity for individuals or groups to believe defined innovation practices can be effective and that these practices can be learned, measured and improved drives the overall effectiveness of training and organizational leadership. With research, we can make training professionals aware that the mindset of potential innovators is to favor a belief in brainstorming and random success. Doing so can significantly impact the preparation of training and development programs for developing structured innovation capabilities.

Training a new generation of innovators, especially young children, requires care so that they internalize the right mindset and the right tool strategy to be the best innovators possible.

This study aims to investigate how living lab (LL) activities align with responsible research and innovation (RRI) principles, particularly in artificial intelligence (AI)-driven digital transformation (DT) processes. The study seeks to define a framework termed “responsible living lab” (RLL), emphasizing transparency, stakeholder engagement, ethics and sustainability. This emerging issue paper also proposes several directions for future researchers in the field.

The research methodology involved a literature review complemented by insights from a workshop on defining RLLs. The literature review followed a concept-centric approach, searching key journals and conferences, yielding 32 relevant articles. Backward and forward citation analysis added 19 more articles. The workshop, conducted in the context of UrbanTestbeds.JR and SynAir-G projects, used a reverse brainstorming approach to explore potential ethical and responsible issues in LL activities. In total, 13 experts engaged in collaborative discussions, highlighting insights into AI’s role in promoting RRI within LL activities. The workshop facilitated knowledge sharing and a deeper understanding of RLL, particularly in the context of DT and AI.

This emerging issue paper highlights ethical considerations in LL activities, emphasizing user voluntariness, user interests and unintended participation. AI in DT introduces challenges like bias, transparency and digital divide, necessitating responsible practices. Workshop insights underscore challenges: AI bias, data privacy and transparency; opportunities: inclusive decision-making and efficient innovation. The synthesis defines RLLs as frameworks ensuring transparency, stakeholder engagement, ethical considerations and sustainability in AI-driven DT within LLs. RLLs aim to align DT with ethical values, fostering inclusivity, responsible resource use and human rights protection.

The proposed definition of RLL introduces a framework prioritizing transparency, stakeholder engagement, ethics and sustainability in LL activities, particularly those involving AI for DT. This definition aligns LL practices with RRI, addressing ethical implications of AI. The value of RLL lies in promoting inclusive and sustainable innovation, prioritizing stakeholder needs, fostering collaboration and ensuring environmental and social responsibility throughout LL activities. This concept serves as a foundational step toward a more responsible and sustainable LL approach in the era of AI-driven technologies.

The aim of the present study is to look into the potential of standardization of special purpose buildings, with the example of the Norwegian Directorate of Public Construction and Property Management (Statsbygg).

The present study uses results from a group workshop on the topic of standardization, suggesting building types suitable for standardization or modular construction. In addition, data from Statsbygg’s project database is used.

There is a broad specter of special purpose buildings with potential for standardization, such as customs facilities, courthouses, university buildings and buildings with a high share of office functions. Even buildings with an individualized character, such as museums or government buildings, have a certain potential for standardization of functional or constructional elements. Modular construction can be used where and when appropriate.

Being on a brainstorming level and limited to Statsbygg, the study provides a starting point for further research looking at other building commissioners working with special purpose buildings, or quantifying the potential for cost reduction.

On the basis of the findings from this study, Statsbygg considers further standardization of their special purpose buildings, not only within building types but also across the portfolio or within a project, for example rooms or functional elements.

Research on standardization of special purpose buildings is limited. The article presents the results of a workshop with project managers, contributing to the topic based on their experience from the construction of special purpose buildings. Although on a brainstorming level, the research is a starting point for further research into this topic.

This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.

This literature review includes both qualitative and quantitative studies, based on the idea that the findings from different research paradigms can shed light on the complex interactions between different financial reporting controls. The authors use a mixed-methods research synthesis and select 64 accounting journal articles to analyze the main proxies for fraud, the stages of the fraud process under investigation and the roles played by auditors and enforcers.

The study highlights heterogeneity with respect to the terms and concepts used to capture the fraud phenomenon, a fragmentation in terms of the measures used in quantitative studies and a low level of detail in the fraud analysis. The review also shows a limited number of case studies and a lack of focus on the interaction and interplay between enforcers and auditors.

This study outlines directions for future accounting research on fraud.

The analysis underscores the need for the academic community, policymakers and practitioners to work together to prevent the destructive economic and social consequences of fraud in an increasingly complex and interconnected environment.

This study differs from previous literature reviews that focus on a single monitoring mechanism or deal with fraud in a broadly manner by discussing how the accounting literature addresses the roles and the complex interplay between enforcers and auditors in the context of accounting fraud.

This paper aims to describe the results of applying ethical AI requirements to a healthcare use case. The purpose of this study is to investigate the effectiveness of using open educational resources for Trustworthy AI to provide recommendations to an AI solution within the healthcare domain.

This study utilizes the Hackathon method as its research methodology. Hackathons are short events where participants share a common goal. The purpose of this to determine the efficacy of the educational resources provided to the students. To achieve this objective, eight teams of students and faculty members participated in the Hackathon. The teams made suggestions for healthcare use case based on the knowledge acquired from educational resources. A research team based at the university hosting the Hackathon devised the use case. The healthcare research team participated in the Hackathon by presenting the use case and subsequently analysing and evaluating the utility of the outcomes.

The Hackathon produced a framework of proposed recommendations for the introduced healthcare use case, in accordance with the EU's requirements for Trustworthy AI.

The educational resources have been applied to one use-case.

This is the first time that open educational resources for Trustworthy AI have been utilized in higher education, making this a novel study. The university hosting the Hackathon has been the coordinator for the Trustworthy AI Hackathon (as partner to Trustworthy AI project).

One of the biggest challenges faced by online learning systems is the absence of opportunities for the practical exposure of the students, especially in professional degree programmes. The theoretical knowledge they gain is undoubtedly more refined and enriched, but it is quite difficult to provide an e-learner with occasions where he/she can actually apply the concepts in real-time situations,as student and teacher are at a great distance from each other. This shortcoming can be overcome by giving scenario-based assignments to the students during their study programme. A hypothetical situation is created in scenario-based assignments where students are required to apply their theoretical knowledge according to the scenario given. In this way, students are actively involved in brainstorming rather than merely reproducing bookish knowledge. In this regard, the Virtual University of Pakistan has adopted advanced methodologies for learning and evaluation of its students. For this purpose, the researchers have aimed to measure the perceived learning of the students of the BS Mass Communication programme. The main objectives of this study were to determine the effectiveness of online scenario-based exercises on student learning and comprehension; and to enhance their analytical abilities and the mode of student-instructor interaction. For this purpose, five scenario-based assignments on various mass communication courses in the autumn 2012 semester were selected; and an online survey of all enrolled students in five subjects was conducted. The tool used in this study was derived from Renda-Tanali's (2012) research on security studies. For data analysis,descriptive statistics, a one-sample t-test, an independent sample t-test and regression analysis were applied. The results of the study indicated a positive student response towards e-scenario-based exercises. The two prominent outcomes identified by students were their improvement in decision-making skills and deepened understanding of real life situations. In the light of the findings of the study, it can be concluded that students' learning in the context of scenario-based exercises was very encouraging for Mass Communication subjects.