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This study aims to understand the mechanisms driving individuals to utilise and engage in edu-business and contribute to the industry’s development, even when they face criticism. To that end, this paper, focussing on corporate stories, explores the cultural strategies education companies employ to expand their businesses overseas.

This paper examines the case study of Kumon Institute of Education, a key player in the Japanese edu-business sector. The analysis is based on interviews conducted between 2019 and 2021 with four public relations officers who possess extensive knowledge of the company’s history. Additionally, it draws on government and company documents, as well as newspaper articles. The analysis focusses on the narrative isomorphism between the company and the government from the provider’s perspective.

Kumon’s corporate stories and narratives have been shaped by the history, culture and policies of Japan, its country of origin, rather than adopting a bottom-up approach or embracing neoliberal values. As the company expanded its international reach, its Japanese identity became a cornerstone of its narrative, heightening the appeal of its stories through the use of expert discourse and historic cultural resources. Recently, a synergy has developed between the public and private sectors in the realm of education export, reinforcing the distinctly Japanese nature of the company, which is particularly appealing to both users and employees.

This paper focusses on the edu-business itself, analysing cultural strategies that go beyond the functional aspects of management or services to understand how edu-businesses have attracted people.

This research study explores the perceptions of the importance and meaning of innovation in education by qualified teachers. The authors deliberately selected geography teachers for the research because the extraordinary dynamics of changes and innovations the teacher has to deal with are significantly reflected, particularly in geography teaching.

The main aim of the research was to determine geography teachers' views on the importance, role and meaning of innovation in teaching. The research group consisted of 12 qualified teachers, and a semistructured interview was chosen as the research method. The research was conducted over six months, from October 2020 to March 2021.

This research confirmed the interest in introducing innovations into teaching by the teachers interviewed. Teachers mainly think of innovation as new ways of teaching that aim to revive and make teaching more attractive, to increase the motivation of all actors in the learning process. While teachers with more ample teaching experience connect innovations mainly with presentations, education games, and excursions, teachers-beginners and teachers with shorter teaching experience understand innovations mainly as the application of new trends in education, such as research projects and working with GIS and digital technologies. The research confirmed that lectures supported by presentations are the most frequently used teaching method for explaining the geography curriculum in primary and secondary schools. Presentations in which teachers focus on linking relationships and explaining connections more deeply replace existing textbooks and teaching texts for most teachers interviewed.

The number and qualifications of the teachers involved in the research.

Teachers see the quality of the school environment and the education system as the significant barriers to providing better geography education. They often come to innovations through their own study and activities and feel a significant lack of available materials for the practical application of innovations in teaching. They also perceive the support for creation by state authorities and educational institutions as insufficient. Most teachers interviewed would welcome regular training courses and vocational education on the appropriate introduction and use of innovations in the classrooms in the form of practical examples and developed methodologies.

The selection of teachers for the research was deliberate and included active teachers of both genders working in primary and secondary schools. The selected teachers had varying teaching experiences and studied different combinations of teaching subjects with geography.

This article approaches the possibilities of photo elicitation as a technique for social research in the landscape of technology-mediated instantaneous interpersonal communication.

This case study, which involved persons with prison experience in the process of returning to the community, demonstrates how participant-generated photographs made with mobile handheld electronic devices and the meanings participants have attached to them allowed the research to take a co-creative turn.

The data analyzed show the potential of photo elicitation to build a link between researcher and researched that empowers the latter with agency in designing the results and also throughout the research process as a whole, thus allowing the former to reach a deeper level of understanding of the research participants' social reality.

The research conducted showcases the possibilities of this technique to approach the field of emotions from the ethnography and how they can build knowledge – especially in the work with vulnerable populations in vulnerable contexts – and generate new categories of analysis.

This pragmatic research paper aims to unravel the smart vision-based method (SVBM), an AI program to correlate the computer vision (recorded and live videos using mobile and embedded cameras) that aids in manual lifting human pose deduction, analysis and training in the construction sector.

Using a pragmatic approach combined with the literature review, this study discusses the SVBM. The research method includes a literature review followed by a pragmatic approach and lab validation of the acquired data. Adopting the practical approach, the authors of this article developed an SVBM, an AI program to correlate computer vision (recorded and live videos using mobile and embedded cameras).

Results show that SVBM observes the relevant events without additional attachments to the human body and compares them with the standard axis to identify abnormal postures using mobile and other cameras. Angles of critical nodal points are projected through human pose detection and calculating body part movement angles using a novel software program and mobile application. The SVBM demonstrates its ability to data capture and analysis in real-time and offline using videos recorded earlier and is validated for program coding and results repeatability.

Literature review methodology limitations include not keeping in phase with the most updated field knowledge. This limitation is offset by choosing the range for literature review within the last two decades. This literature review may not have captured all published articles because the restriction of database access and search was based only on English. Also, the authors may have omitted fruitful articles hiding in a less popular journal. These limitations are acknowledged. The critical limitation is that the trust, privacy and psychological issues are not addressed in SVBM, which is recognised. However, the benefits of SVBM naturally offset this limitation to being adopted practically.

The theoretical and practical implications include customised and individualistic prediction and preventing most posture-related hazardous behaviours before a critical injury happens. The theoretical implications include mimicking the human pose and lab-based analysis without attaching sensors that naturally alter the working poses. SVBM would help researchers develop more accurate data and theoretical models close to actuals.

By using SVBM, the possibility of early deduction and prevention of musculoskeletal disorders is high; the social implications include the benefits of being a healthier society and health concerned construction sector.

Human pose detection, especially joint angle calculation in a work environment, is crucial to early deduction of muscoloskeletal disorders. Conventional digital technology-based methods to detect pose flaws focus on location information from wearables and laboratory-controlled motion sensors. For the first time, this paper presents novel computer vision (recorded and live videos using mobile and embedded cameras) and digital image-related deep learning methods without attachment to the human body for manual handling pose deduction and analysis of angles, neckline and torso line in an actual construction work environment.

This paper aims to examine the impact of using visual grammar on learning participle adjectives by EFL (English as a Foreign Language) learners.

The study follows an experimental design in which two groups participated in the study. The experimental group used visual grammar tools in learning participle adjectives. The control group was taught the participle adjectives in a traditional way. A pre–post test was designed and presented to the participants in the two groups.

The results showed that the experimental group made statistically significant improvements in their performance in using participle adjectives due to the use of visual grammar tools.

The current study is only limited to the effect of visual images on a particular grammatical issue, that is participle adjectives. Besides, the study does not include the gender variable; there may be variation in the results depending on the variable of gender.

The present study can provide language instructors with some guidelines on how to incorporate visual grammar applications in teaching grammar aspects. Learners can also be encouraged to have a better understanding of English grammar, using the different connotations of visual images.

Using visual images in teaching grammar will increase the learners' ability to think beyond their classroom environment. They can use this experience whenever they face visual images in different societal activities.

This paper is one of the initial attempts to investigate the effect of using visual grammar on learning participle adjectives.

Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices.

A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework.

The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products.

The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma.

The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0.

This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.

The purpose of this research is to explore the transformative impact of AI-augmented tools on design pedagogy. It aims to understand how artificial intelligence technologies are being integrated into educational settings, particularly in creative design courses, and to assess the potential advancements these tools can bring to the field.

The research adopts a case-study approach, examining three distinct courses within a creative technology curriculum. This methodology involves an in-depth investigation of the role and impact of AI in each course, focusing on how these technologies are incorporated into different creative disciplines such as production design, fine arts, and digital artistry.

The research findings highlight that the integration of AI with creative disciplines is not just a passing trend but signals the onset of a new era in technological empowerment in creative education. This amalgamation is found to potentially redefine the boundaries of creative education, enhancing various aspects of the learning process. However, the study also emphasizes the irreplaceable value of human mentorship in cultivating creativity and advancing analytical thinking.

The limitations of this research might include the scope of the case studies, which are limited to three courses in a specific curriculum. This limitation could affect the generalizability of the findings. The implications of this research are significant for educational institutions, as it suggests the need for a balanced interaction between AI's computational abilities and the intrinsic qualities of human creativity, ensuring that the core essence of artistry is preserved in the age of AI.

The originality of this paper lies in its specific focus on the intersection of AI and creative education, a relatively unexplored area in design pedagogy. The value of this research is in its contribution to understanding how AI can be harmoniously integrated with traditional creative teaching methods. It offers insights for educational institutions preparing for this technological transformation, highlighting the importance of maintaining a balance between technological advancements and humanistic aspects of creative education.

This study aims to explore the NEET (Not in Education, Employment and Training) experiences of young people living in impoverished settings.

Methodologically, this study was informed by a qualitative analysis of visual and textual data related to a body mapping exercise with eleven young people who were participants in a four-day start-up workshop in a larger action research project.

The findings reveal that, although being NEET negatively affects young people’s self-esteem, confidence, hope for the future and general well-being, body mapping can help them discover latent assets useful for reducing their insecurities.

Researchers using this method need to be well prepared to deal with possible emotional trauma, and to this end, we provide some guidelines for the effective implementation of body mapping.

Absence of Health and Safety (H&S) induction training can expose workers to construction hazards and risks. To protect workers, construction organisations provide site H&S induction training. This training is used in the construction industry to train workers on organisation, project and client H&S practices and rules. While researchers have recognised its role in creating worker awareness, developing H&S culture and influencing accident rate, but there has been little research. Furthermore, there lacks a review that identifies the research trends, research focus and future research directions on H&S induction training in the construction industry. This study aims to review literature on H&S induction training in the construction industry.

Scopus, Web of Science, Science Direct and Google Scholar databases were used to identify articles. Initial search produced a total of 278 papers and final analysis resulted in ten articles. Content analysis was applied.

The identified three contributions to knowledge: (a) identifies specific trajectory or development trends of H&S induction training in the construction industry (three research areas were identified, namely, impact of H&S induction training on H&S culture, impact of H&S induction training on accident rate and barriers affecting supervisor’s skills and ability to conducting H&S induction training), (b) suggestions have been given on the contribution of H&S induction training to H&S culture and (c) future research directions have been proposed. The review provides knowledge that the contribution of H&S induction training to H&S culture is influenced by skills, knowledge and experience of presenter, language used, content covered, mode of delivery, technological tools used, type of assessment and duration.

The review is limited to studies related to H&S induction training in the construction industry. Other safety training studies and industries could have provided different findings. The review is limited to 2012 and 2022 and to ten articles.

Understanding the role of H&S induction training to worker behaviour, H&S culture and outcomes will improve H&S practices and standards within the construction industry. Construction organisations can consider the factors identified in this study to improve the effectiveness of H&S induction training.

Understanding the contribution of H&S induction training to H&S culture may help to improve H&S culture.

The study has identified three main research areas and future research directions. It further revealed the factors that researchers, practitioners and policy makers can consider to improve the effectiveness of H&S induction training in the construction industry.

Technology acceptance is a measure of that technology’s usefulness. Oil palm is one of the biggest contributors to Indonesia’s revenues, thus fueling its economy. Using remote sensing would allow a plantation to monitor and forecast its production and the amount of fertilizer used. This review aims to provide a policy recommendation in the form of a strategy to improve the added value of Indonesia’s oil palm and support the government in increasing oil palm production. This recommendation needs to be formulated by determining the users’ acceptance of remote sensing technology (state-owned plantations, private plantation companies and smallholder plantations).

This review’s methodology used sentiment analysis through text mining (bag of words model). The study’s primary data were from focus group discussions (FGDs), questionnaires, observations on participants, audio-visual documentation and focused discussions based on group category. The results of interviews and FGDs were transcribed into text and analyzed to 1) find words that can represent the content of the document; 2) classify and determine the frequency (word cloud); and finally 3) analyze the sentiment.

The result showed that private plantation companies and state-owned plantations had extremely high positive sentiments toward using remote sensing in their oil palm plantations, whereas smallholders had a 60% resistance. However, there is still a possibility for this technology’s adoption by smallholders, provided it is free and easily applied.

Basically, technology is applied to make work easier. However, not everyone is tech-savvy, especially the older generations. One dimension of technology acceptance is user/customer retention. New technology would not be immediately accepted, but there would be user perceptions about its uses and ease. At first, people might be reluctant to accept a new technology due to the perception that it is useless and difficult. Technology acceptance is the gauge of how useful technology is in making work easier compared to conventional ways.

Therefore, technology acceptance needs to be improved among smallholders by intensively socializing the policies, and through dissemination and dedication by academics and the government.

The social implications of using technology are reducing the workforce, but the company will be more profitable and efficient.

Remote sensing is one of the topics that people have not taken up in a large way, especially sentiment analysis. Acceptance of technology that utilizes remote sensing for plantations is very useful and efficient. In the end, company profits can be allocated more toward empowering the community and the environment.