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The paper aims to clarify the relationship between problem-solving skills and socialization of first-year university students and propose talent management strategies for university management, course instructors and administrators. Thus, this paper identifies three student clusters among the first-year bachelor students. This paper aims to propose a talent management framework and makes recommendations for course instructors and administrators.

In this paper, a Simulated Work Experience is applied to collect data on problem-solving skills and demographics of first-year business students. Based on the anonymous competency and demographic data of 546 students, 3 clusters were identified with a hierarchical K-means clustering method and linked with talent management and curriculum design strategies.

The paper provides empirical insights about how the demographic background of the first-year students affects the students' problem-solving skills. This paper identifies three clusters – laggers, unpolished diamonds and drivers – and proposes a talent management framework to support the students' personal and professional development. The proposed talent management framework is based on the direction of upskilling and type of talent management incentives and outlines four distinct categories: extracurricular reward, tutoring and catching up, perform-or-punish and up-or-out systems. This paper makes suggestions to course administrators and instructors how to incorporate talent management and competency mapping aspects into the curriculum and syllabus design activities.

The research is limited to problem-solving skills and focused only on first-year business students.

The paper includes practical implications for business school management, course administrators and instructors about competency mapping, talent management strategies, curriculum and syllabus design.

The research is based on the competency mapping of 546 first-year students at Budapest Business School. The data were collected via a Simulated Work Experience, where the students were participating in a virtual business project.

This chapter provides an overview of entrepreneurship clubs. It charts the development of these organisations, as a form of extracurricular activity. It introduces different forms of entrepreneurship clubs, such as Junior Achievement (JA) and Enactus, and explains how they grew from 1919 to the present. It also illustrates the differences between self-organised clubs, organised programs using clubs as a learning method, structured societies and nationally organised cooperative societies. The second part introduces research on student clubs in entrepreneurship education. It explores the benefits of clubs. It shows that clubs assist student learning, enable the acquisition of practical skills and improve college attendance, employment opportunities and career attainment. We argue that entrepreneurship clubs have improved student learning outcomes in entrepreneurship and simulated entrepreneurial learning, while impacting student self-efficacy and intentionality as well as improving employability and social learning. The final part of the chapter provides advice and tips for educators advising student-run entrepreneurship clubs. Ultimately, the chapter explains how student clubs have developed, why they are important for student learning and how advisors can support them.

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.

This study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students.

The study reviews literature that uses spreadsheets to visualize and model risk and uncertainty. Using six distinct case-based activities (CBAs), the study illustrates the practical applications of software like Palisade @RISK in risk management education. It helps to close the gap between theory and practice. The software assists in estimating the likelihood of a risk event and the impact or repercussions it will have if it occurs. This technique of risk analysis makes it possible to identify the risks that need the most active control.

@RISK can be used to create models that produce results to demonstrate every potential scenario outcome. When faced with a choice or analysis that involves uncertainty, @RISK can be utilized to enhance the perspective of what the future might contain.

The insights from this study can be used to develop critical thinking, independent thinking, problem-solving and other important skills in learners. Further, educators can apply Bloom’s taxonomy and the problem-solving taxonomy to help students make informed decisions in risky situations.

Due to the growing complexity involved in leveraging the endless possibilities of ICT on all levels, the technical competence of faculties of higher education institutions (HEI) and effective methods for fostering e-readiness has become questionable.

This research has developed and validated an empirically supported e-readiness scale, which can be used by HEIs to assess faculty members’ preparedness toward online teaching. The measurement model and the structural model were developed as the results of exploratory factor analysis and confirmatory factor analysis (n = 245). The previously identified components and their indicators were validated using the structural models and the final scale was developed with five dimensions (“online technological readiness, pedagogical readiness, institutional readiness, learning and delivery readiness and content readiness”).

The faculties’ e-readiness assessment tool, as a useful tool, could aid institutions in identifying problems that affect the implementation of e-learning or digitalization in the institutions and developing strategies in response.

Like any research this research also has some limitations and can be considered as future research probability like the responses for this research were collected from HEI in India; however, a cross-cultural study can be conducted to understand the parameters across the globe. Although the psychometric qualities of the e-readiness scale are acceptable, additional research in various higher educational environments, both nationally and internationally, is required to further establish the scale’s relevance, validation and generalizability.

Although many scales have been developed to assess the readiness level in the education sector, a scale, that holistically measures, the readiness level of faculties from an overall perspective was required. This scale can be used to recognize the e-readiness level of teachers in HEIs. This scale can also help the institutions assess the readiness level of their faculty members and address any improvements required in their teaching and learning pedagogy, further acknowledging training needs.

Recent studies on search-as-learning (SAL) have recognized the significance of identifying users' learning needs as they evolve for acquiring knowledge during the search process. In this study, the authors clarify the extent to which search behaviors reflect the learning outcome and foster the users' knowledge of Chinese art.

The authors conducted an exploratory-sequential mixed-methods approach using simulated work task situations to collect empirical data. The authors used two types of simulated learning tasks for topics related to painting and antique knowledge. A lot of 25 users participated in this evaluation of digital archives (DAs) at the National Palace Museum (NPM) in Taiwan. For each set of topics, a close-ended task related to lower-level learning goals and an open-ended task related to higher-level learning goals.

The learning criteria reflect changes in the users' knowledge structure, revealing the SAL process. Furthermore, users achieved better task performance on the higher-level creative-learning task, which suggests that they met more learning criteria, exhibited a greater variety of search patterns when exploring the topics via interaction with various sources. Finally, there is a close relationship between creative-learning tasks, prior knowledge, keyword search actions and learning outcomes.

The authors discuss implications with respect to the design of DAs in practice and contributions to the body of SAL knowledge in DAs of online museums. For future reference, the authors provide implications for the development of learning measures from the perspective of user search behavior with associated learning outcomes in the context of DAs.

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web service classification approaches ignore the class overlap in Web services, resulting in poor accuracy of classification in practice. This paper aims to provide an approach to address this issue.

This paper proposes a label confusion and priori correction-based Web service classification approach. First, functional semantic representations of Web services descriptions are obtained based on BERT. Then, the ability of the model is enhanced to recognize and classify overlapping instances by using label confusion learning techniques; Finally, the predictive results are corrected based on the label prior distribution to further improve service classification effectiveness.

Experiments based on the ProgrammableWeb data set show that the proposed model demonstrates 4.3%, 3.2% and 1% improvement in Macro-F1 value compared to the ServeNet-BERT, BERT-DPCNN and CARL-NET, respectively.

This paper proposes a Web service classification approach for the overlapping categories of Web services and improve the accuracy of Web services classification.

This article investigates the application of generative artificial intelligence (GenAI) in experiential learning for authentic assessment in higher education. Recognized for its human-like content generation, GenAI has garnered widespread interest, raising concerns regarding its reliability, ethical considerations and overall impact. The purpose of this study is to explore the transformative capabilities and limitations of GenAI for experiential learning.

The study uses “thing ethnography” and “incremental prompting” to delve into the perspectives of ChatGPT 3.5, a prominent GenAI model. Through semi-structured interviews, the research prompts ChatGPT 3.5 on critical aspects such as conceptual clarity, integration of GenAI in educational settings and practical applications within the context of authentic assessment. The design examines GenAI’s potential contributions to reflective thinking, hands-on learning and genuine assessments, emphasizing the importance of responsible use.

The findings underscore GenAI’s potential to enhance experiential learning in higher education. Specifically, the research highlights GenAI’s capacity to contribute to reflective thinking, hands-on learning experiences and the facilitation of genuine assessments. Notably, the study emphasizes the significance of responsible use in harnessing the capabilities of GenAI for educational purposes.

This research showcases the application of GenAI in operations management education, specifically within lean health care. The study offers insights into its capabilities by exploring the practical implications of GenAI in a specific educational domain through thing ethnography and incremental prompting. Additionally, the article proposes future research directions, contributing to the originality of the work and opening avenues for further exploration in the integration of GenAI in education.

Higher education institutions (HEIs) face the formidable responsibility of equipping students with the requisite knowledge and skills essential for a successful transition into the professional workforce. In contemporary education, simulation-based learning (SBL) has emerged as a pivotal tool employed by HEIs to facilitate and enhance the learning experience. MonsoonSIM stands out as a notable simulation-based experiential learning platform, encompassing a wide spectrum of business processes. This study aims to investigate the effectiveness of SBL in Malaysian HEI, with a specific focus on utilizing MonsoonSIM to bolster students' knowledge and skills.

To gather empirical evidence, an online survey questionnaire was methodically distributed to 254 students enrolled in Malaysian HEIs, employing purposive sampling techniques. A total of 114 valid responses were collected and subjected to rigorous analysis using SmartPLS4, leveraging the partial least squares structural equation modeling methodology.

The outcomes of this investigation shed light on the positive influence of marketing management knowledge on the effectiveness of SBL. However, it was observed that problem-solving and critical thinking skills, financial management and production management knowledge did not exhibit a statistically significant impact on the effectiveness of SBL.

This study contributes to the existing body of knowledge by offering valuable insights into how students engage with and derive learning outcomes from simulation-based educational tools. The findings underscore the pivotal role of integrating SBL into the broader pedagogical framework to enhance the overall learning experience.

This empirical study uncovers emotional sensemaking factors that cause changes in management perceptions about wicked strategic problems under dynamic complexity. These perception changes improve understanding of, and solutions to, the wicked problem.

Senior managers from three large organizations in different sectors participated in gaming simulation workshops. The strategic issues at stake were intractable and divisive. Qualitative methods captured participants' perceptions of the problems and the dynamic complexity that they faced and how they changed.

Flawed management perceptions were revised as sensemaking processes were catalyzed by emotions of shock/surprise that came from experiencing unexpected stakeholder conduct within a simulation. The plausibility of the conduct was strengthened because managers were role-playing stakeholders. The shock/surprise emotion uncoupled attachment to entrenched beliefs, leading to a willingness to revise the flawed perceptions. The changed perceptions created new insights for a solution to the wicked problem.

Practical implications are how management practitioners can improve the tackling of wicked strategic problems through the use of shock and surprise in a gaming simulation.

This research extends theory on the role of emotions in sensemaking under dynamic complexity. The authors uncover how a hierarchy of managers' emotions used in sensemaking explains the catalytic effect of the shock and surprise of unexpected stakeholder conduct on revisions to their perceptions of the outcomes of the dynamic complexity.