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In this paper we provide evidence of successful online learning experience with UAE students at Zayed University in the UAE. First we describe the processes and technologies used in delivering the online course "Virtual Business Challenges". Based on survey results we discuss students’ evaluations and experience and the technologies used. Overall, students had a positive learning experience in the course.

This paper aims to compare the nature of three different business and management education (BME) research streams (online/blended learning, entrepreneurship education and experiential learning), along with their citation sources to draw insights on their support and legitimacy bases, with lessons on improving such support and legitimacy for the streams and the wider BME research field.

The authors analyze the nature of three BME research streams and their citation sources through tests of differences across streams.

The three streams differ in research foci and approaches such as the use of managerial samples in experiential learning, quantitative studies in online/blended education and literature reviews in entrepreneurship education. They also differ in sources of legitimacy recognition and avenues for mobilization of support. The underlying literature development pattern of the experiential learning stream indicates a need for BME scholars to identify and build on each other’s work.

Identification of different research bases and key supporting literature in the different streams shows important core articles that are useful to build research in each stream.

Readers will understand the different research bases supporting the three research streams, along with their targeted audience and practice implications.

The discovery of different support bases for the three different streams helps identify the network of authors and relationships that have been built in each stream.

According to the authors’ knowledge, this paper is the first to uncover differences in nature and citation sources of the three continuously growing BME research streams with recommendations on ways to improve the support of the three streams.

The purpose of this study is to investigate the role of connective action characterised by interconnection and personal communication on social media (SM) for participating in collective action in the physical world of social movements.

A research model is developed integrating different modes of connective action into the social identity model of collective action (SIMCA) to investigate pathways to participating in offline collective action (CA) from an individual perspective. Following a survey design approach, data collected from 194 respondents in the background of Egypt's social movements are examined using partial least squares (PLS) path modelling and mediation analyses.

The authors' main results reveal that interactive socialisation (IS) on SM provides an important momentum for the user to internalise (consume) and externalise (share) content online from a social learning perspective. In terms of translating these activities to participating in offline CA, the authors find support for two independent causal chains: An “instrumental” chain building on content externalisation (CE) and efficacy considerations and an “obligatory” chain based on content internalisation (CI) and collective identity.

The authors' results highlight the individual-level origins of offline mobilisation in social movements, which are not only grounded in social-psychology, but also develop out of interrelated connective actions supporting social learning. Prior work has mainly conceptualised the value of SM in social movements for online political communication. The authors' conceptualisation is novel in terms of integrating online and offline behaviours with social-psychological perspectives and the application with primary data in a protest movement context that heavily relied on connective actions for offline mobilisation.

Studies have shown that research is a global innovation’s “engine room.” Therefore, young adult-built environment researchers (YABER), especially in developing countries, need research upskilling and reskilling training for better-integrated outcomes. Evidence shows that research training can improve YABER competencies and proficiencies. In Nigeria, YABER may have had some challenges in training needs. There is a lack of extant literature about the issues facing Nigeria’s YABER upskilling and reskilling training needs. Thus, this study investigated the perceived problems facing YABER and proffered measures to improve their training needs in Nigeria.

The researchers used participants from Edo State, Abuja and Lagos State, Nigeria. This study adopted a qualitative research approach. The researchers accomplished saturation after 40 virtual interviews and adopted a thematic analysis for the primary data.

The research shows that the built environment research refines current and creates new knowledge. The built environment researchers (trainers and trainees) need training but face challenges. Findings clustered measures to improve quality research publications in the built environment through YABER training into government/regulatory agencies-related, higher education institutions-related and researcher-related measures.

The developed framework and thematic network analysis could be used to stimulate YABER training needs and, by extension, stir Nigeria’s higher education institutions regulatory agencies to upgrade requirements for academic staffers, especially published articles, to be compulsorily Scopus/Web of Sciences indexed for promotion exercise. This is the global best practice, and Nigerian scholars cannot be in isolation. It will form part of this study’s implication and revitalise UNSDG 4.

Throughout human history, the occurrence of disasters has been inevitable, leading to significant human, financial and emotional consequences. Therefore, it is crucial to establish a well-designed plan to efficiently manage such situations when disaster strikes. The purpose of this study is to develop a comprehensive program that encompasses multiple aspects of postdisaster relief.

A multiobjective model has been developed for postdisaster relief, with the aim of minimizing social dissatisfaction, economic costs and environmental damage. The model has been solved using exact methods for different scenarios. The objective is to achieve the most optimal outcomes in the context of postdisaster relief operations.

A real case study of an earthquake in Haiti has been conducted. The acquired results and subsequent management analysis have effectively assessed the logic of the model. As a result, the model’s performance has been validated and deemed reliable based on the findings and insights obtained.

Ultimately, the model provides the optimal quantities of each product to be shipped and determines the appropriate mode of transportation. Additionally, the application of the epsilon constraint method results in a set of Pareto optimal solutions. Through a comprehensive examination of the presented solutions, valuable insights and analyses can be obtained, contributing to a better understanding of the model’s effectiveness.

The aim of this study is to understand how digital platforms and context-specific characteristics of China – such as swift guanxi – affect opportunities for small and medium enterprises (SMEs) entering this market.

This study adopts a qualitative approach based on a multiple-case study of Italian SMEs in the wine industry that have activated international activities in China. Primary data consist of 32 interviews with SMEs’ managers, local consumers and other stakeholders involved in firm internationalization.

The findings of this study highlight that in SMEs’ internationalization, the process of knowledge/learning on digital platforms takes place in a bidirectional way thanks to the interactions among multiple stakeholders, which activate consumer education and knowledge sharing.

While previous research has emphasized firms' knowledge acquisition in the internationalization process, this study incorporates both the consumer perspective and the firm perspective, along with considering interactions with various stakeholders.

This paper presents an original approach for learning models, partially known, of particular interest when performing source identification or structural health monitoring. The proposed procedures employ some amount of knowledge on the system under scrutiny as well as a limited amount of data efficiently assimilated.

Two different formulations are explored. The first, based on the use of informed neural networks, leverages data collected at specific locations and times to determine the unknown source term of a parabolic partial differential equation. The second procedure, more challenging, involves learning the unknown model from a single measured field history, enabling the localization of a region where material properties differ.

Both procedures assume some kind of sparsity, either in the source distribution or in the region where physical properties differ. This paper proposed two different neural approaches able to learn models in order to perform efficient inverse analyses.

Two original methodologies are explored to identify hidden property that can be recovered with the right usage of data. Both methodologies are based on neural network architecture.

This article examines the ways in which the popular music industry markets artists through integrated transmedia marketing campaigns. These campaigns unfold across multiple media and create multiple pathways for audience engagement, particularly fan engagement, across social media platforms. The purpose is to further theorise the relationship between artists, the music industry and audiences.

The study used digital ethnography to scrutinise the activities within a contemporary music transmedia marketing campaign, focusing on the release of Taylor Swift's album Reputation as an illustrative case.

The study demonstrates how strategically curated activities encompass platforms' affordances and industry events by making use of fan engagement across social media platforms and streaming services. Fans shift through platforms, as well as across digital and physical spaces, through defined marketing activities at specific times. This article proposes the concept of choreographed engagement to specifically address the ways in which the temporal and spatial aspects of social media marketing are used at the intersection of platform logic, algorithm economy and fan engagement to reach wider audiences.

By proposing the concept of choreographed engagement, the authors bridge the gap between fan practices and marketing practices, providing insight into how commodification of fan engagement is utilised spatially and temporally within the contemporary platform economy. Choreographed engagement constitutes a significant aspect of strategic communication and marketing. The term expands the vocabulary used in the debate on the commodification of artistic work, and audience engagement in the platform era.

The purpose of this quantitative study was to assess the relationship between volunteer leadership competencies and stewardship action-taking experiences among Master Gardener (MG) and Master Watershed (MW) volunteers during the COVID-19 pandemic. We collected data from 1196 Penn State Extension MG and MW respondents. The mean summative score for the volunteer stewardship action-taking experience was 2.32 (SD = .79), and volunteer leadership competencies was 3.45 (SD = .60). The results of this study showed a significant moderate association between volunteer stewardship action-taking experiences and volunteer leader competencies (r = .34, p ≤ .001). Volunteer leadership competencies can explain approximately 11 % of the variation in volunteer stewardship action-taking experiences during the COVID-19 pandemic. The new knowledge that our research brings can significantly contribute to the practice in leadership teaching and learning of Extension organizations’ volunteers. Future leadership trainings on the enhancement of the MG and MW volunteer leaders’ stewardship action-taking capacity can help contribute to the greater good in their communities in a more confident and efficient manner. Further research should focus on identifying other factors that can affect MG and MW stewardship action-taking experiences, including the impact of the demographics and motivation.