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The use of augmented reality (AR) and experiential learning go hand in hand. Although AR learning opportunities have been well discussed, there is limited empirical research on the use of AR within higher education settings. Drawing from the uses and gratifications theory (U&GT), this study aims to explore the use of AR for learning satisfaction and student engagement, while also examining differences in learning styles.

This study used experiments with higher education students in the UK to explore the use of AR as part of the learning experience. Data from 173 students who experienced AR as part of their learning experience were analysed using partial least square analysis.

The authors found that hedonic, utilitarian, sensual and modality gratifications influence AR learning satisfaction and student engagement. Furthermore, the authors found differences between active and passive learners with regards to utilitarian (information seeking, personalisation) and sensual gratifications (immersion, presence) and effects on learning satisfaction.

This study developed and validated a U&GT framework incorporating different learning styles rooted in Kolb’s learning cycle. Findings provide important implications for the use of commercial AR applications as part of the learning experience within higher education settings.

The circular economy (CE) promotes the recovery of value from waste while also working towards achieving long-term environmentally sustainable goals. The goal of this research is to explore the challenges, opportunities, future scope and green practices that small and medium-sized firms (SMEs) face as they move from the linear economy to the CE.

Based on a structured questionnaire, a survey was conducted with representatives from 163 SMEs in India. The data were analysed using co-variance based structural equation modelling technique.

This research identifies various challenges, including consumer acceptability, worries about awareness, recyclability issues, financial constraints and the absence of a defined management plan for SMEs in adopting the CE. Further, strong management will, innovation, technical up-gradation, training of employees, employee motivation and appropriate guidelines are recognized as essential possibilities for CE implementation.

While there has been some work on CE, no studies have directly compared these efforts with the goal of shifting from a linear economy to a CE. Given the transient nature of many archives, it is critical that the efforts put into them and the opinions of those who work in them be recorded so that communities can benefit from a shared linear economy in making decisions about their own history.

Security assurance evaluation (SAE) is a well-established approach for assessing the effectiveness of security measures in systems. However, one aspect that is often overlooked in these evaluations is the assurance context in which they are conducted. This paper aims to explore the role of assurance context in system SAEs and proposes a conceptual model to integrate the assurance context into the evaluation process.

The conceptual model highlights the interrelationships between the various elements of the assurance context, including system boundaries, stakeholders, security concerns, regulatory compliance and assurance assumptions and regulatory compliance.

By introducing the proposed conceptual model, this research provides a framework for incorporating the assurance context into SAEs and offers insights into how it can influence the evaluation outcomes.

By delving into the concept of assurance context, this research seeks to shed light on how it influences the scope, methodologies and outcomes of assurance evaluations, ultimately enabling organizations to strengthen their system security postures and mitigate risks effectively.

The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing, subject-specific content considerations and the availability and quality of off-the-shelf learning resources. Educators have to potentially contend with all of these amidst mounting institutional constraints and external pressures. Yet, a supplemental, from-scratch online learning resource can help mitigate some of these challenges.

This study presents the successes and challenges of introducing a mobile learning resource, Pocket Tutor, to bolster autonomous learning in a supported university learning environment. Pocket Tutor was designed and developed in 2019 and integrated in 2020 and 2021 into a multimedia design class offered at a large university in the Asia-Pacific. The resource’s effectiveness is measured against common technology acceptance factors – including self-efficacy, enthusiasm and enjoyment in relation to contextual purpose and class learning outcomes – through a multi-pronged approach consisting of a class-wide survey, developed specifically for this purpose and analysis of usage data. Deeper context was also provided through a small pool of follow-up interviews.

Evidence from this study’s data suggests that a bespoke, mobile-learning resource can provide greater consistency, more relevance, more flexibility for when and where students learn and more efficiency with limited opportunities for synchronous interaction. At the same time, a bespoke mobile-learning resource represents a significant investment of skill and time to develop and maintain.

This study responds to calls from scholars who argue that more research (especially that is qualitative and discipline-specific) is needed to investigate students’ willingness to use learning apps on their mobile devices. This study pairs such research about student willingness with actual usage data and student reflections to more concretely address the role of mobile learning resources in higher education contexts. This study also, importantly, does not just assess perceptions and attitudes about mobile learning resources in the abstract but assesses attitudes and usage patterns for specific generic and bespoke mobile learning resources available for students in a specific university class (thereby providing discipline-specific insights). This study also provides a unique contribution by including multiple years of data and, thus, offers a longitudinal view on how mobile-learning resources are perceived and used in a particular higher education context.

This study aims to understand the leadership characteristics of founders of social and environmental enterprises in Latin America who have achieved business success with a focus on sustainability despite difficult social, economic, political and even health contexts in which they live.

This nonexperimental research is a qualitative, descriptive and exploratory study. Twenty-one in-depth interviews were conducted with social/environmental entrepreneurs of the Kunan Network (an organization that groups the entrepreneurial ecosystem in Peru).

The study analyzes the leadership profile and characteristics of entrepreneurs who have created profitable businesses with a social/environmental focus that solve relevant social problems and contribute to improving people’s quality of life and caring for the environment.

Although only 21 business leaders with outstanding participation and positive social and environmental impact were included in this study, they were supported and recognized by the Kunan Network.

The study contributed to the conceptualization and understanding of the profile of leaders of social and environmental enterprises, whose main challenges are to solve social or environmental problems of society and contribute to improving the quality of life of people and the environment. Knowing the profile of these entrepreneurs generates value to the knowledge of the subject and contributes to understand and propose strategies to improve the ecosystem of social-environmental entrepreneurship in emerging countries such as Peru. This will contribute to the creation of relationships and alliances with various social actors: public, private, third sector, academia, among others, for the management and promotion of sustainable business.

This research aims to forecast university students' intentions to contribute to sustainable entrepreneurship (SE) in an emerging market. The study observed the factors influencing students’ sustainable entrepreneurial intentions (SEI) using an extended theory of planned behaviour (TPB).

A survey was conducted utilising an online questionnaire with a total of 332 college students in Gujarat, India. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data.

The outcome of the present research sanctions that university support strongly impacts perceived behavioural control (PBC) and negatively affects attitudes towards sustainable entrepreneurship (ATT). The findings revealed that environmental concern positively influences students' attitudes and perceived behavioural control towards sustainable entrepreneurship. Whereas sustainable development goals knowledge (SDGK) negatively impacts attitude and PBC. Out of the three key factors of TPB used in the study, only the subjective norm negatively affects SEI among the respondents.

This research may be valuable to academicians and environmental strategists in determining the most essential elements that drive students to create sustainable firms. The findings of this study back up the assumption that TPB adaptation is required when assessing entrepreneurship-specific intents.

The current research aimed to regulate students' entrepreneurial intention (EI) in Gujarat, India, concerning a sustainable enterprise. This research appears to be one of the extremely scarce studies that utilise the extended TPB model to investigate the effect of university support (US), environmental concern (EC) and SDGK in the context of India.

Generative AI and more specifically ChatGPT has brought a revolution in the lives  of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.

This study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.

We posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.

The study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.

This is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.

This study aims to empirically assess the influence of supply chain capabilities and total quality management on sustainable supply chain performance, factoring in the role of leadership and the moderating impact of institutional pressures.

The researchers designed a self-administered survey, garnering responses from 278 participants. Preliminary analyses addressed nonresponse bias, examining assumptions like homoscedasticity and data normality. Confirmatory factor analysis was employed to ensure reliability and construct validity before hypothesis testing. Regression outcomes corroborate all posited assumptions, further strengthening the extant literature.

The research outcomes demonstrate the positive association between supply chain capabilities and TQM and sustainable supply chain performance, particularly under institutional pressure. Data from the cement manufacturing sector further corroborated these findings. This study lends empirical support to the tenets of institutional theory.

The presented model delineates how leadership impacts TQM and supply chain capabilities to amplify sustainable supply chain outcomes. Incorporating institutional pressure as a moderating variable introduces a fresh and enlightening dimension to the discussion.

Intimate partner violence (IPV) is a prevalent public health issue impacting women’s physical and mental health and psychosocial walks of life across cultures and societies. Despite this, many women continue to stay in such relationships. This study aims to examine, from a constructionist perspective, why women stay in abusive marriages and what factors prevent them from taking appropriate actions. Also, women’s experiences of surviving IPV were explored.

Using a descriptive qualitative research method, the authors recruited and interviewed 17 women from northern India. The data were analysed thematically.

The underlying themes that emerged in response to the research questions were the lack of family support, societal ideals, the culture of normalizing violence, fear, love and hope and emotional turmoil. The reason for women not to leave abusive marriages corresponds to the broader social constructions of marriage and women’s perceived positions in family and society.

Research on women’s decision to stay in abusive relationships is limited, especially from the Global South. This study generates fresh evidence on the subject matter, specifically from the Indian context. The study result contributes uniquely by approaching the problem of staying in an abusive relationship from a social constructionist perspective. This study has implications for policy and psychosocial interventions to bring progressive changes in the lives of women experiencing IPV.

Medical diagnosis and treatment processes exhibit a high degree of variability, as during the process execution, healthcare professionals can decide on additional steps, change the execution order or skip a task. Process models can help to document and to discuss such processes. However, depicting variability in graphical process models using standardized languages, such as Business Process Model and Notation (BPMN), can lead to large and complicated diagrams that medical staff who do not have formal training in modeling languages have difficulty understanding. This study proposes a pattern-based process visualization that medical doctors can understand without extensive training. The process descriptions using this pattern-based visualization can later be transformed into formal business process models in languages such as BPMN.

The authors derived patterns for expressing variability in healthcare processes from the literature and medical guidelines. Then, the authors evaluated and revised these patterns based on interviews with physicians in a Danish hospital.

A set of business process variability patterns was proposed to express situations with variability in hospital treatment and diagnosis processes. The interviewed medical doctors could translate the patterns into their daily work practice, and the patterns were used to model a hospital process.

When communicating with medical personnel, the patterns can be used as building blocks for documenting and discussing variable processes.

The patterns can reduce complexity in process visualization. This study provides the first validation of these patterns in a hospital.