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This study investigates the various themes around the demand-driven approach of vocational education and training (VET). The study focuses on investigating two major aspects of VET. Firstly, the extant literature has been systematically classified based on seven parameters: Geography, Focus on Vocational Education, Research Methods, Economic Sector, Origin of Study, Type of Training and Level of Skill. Secondly, this study has explored various themes around the VET implementation, performance gaps and road ahead.

Thematic analysis with the systematic literature review (SLR) method is applied to 50 research papers on VET, published between 2011 and 2022.

This systematic review has found that experiential compliments VET and VET is the medium of skill development. Further, it was extracted through themes that VET may help ensure alternate employment in rural areas and contribute to micro- and macro-level economic development. Also, there is a requirement to adopt a demand-driven approach to VET by localizing VT content and delivery.

The study's findings are directed towards the need for demand-driven and customized VET. This study also explores many potential areas for further empirical research through various themes.

This study is a novel effort that extracts the themes constituting the effect of VETs along with the descriptive analysis of the extant literature using the SLR approach. The study has rationalized the findings by providing due coding to various parameters in the previous studies under investigation.

In the realm of construction education, the investigation of immersive learning and extended reality (XR) technologies has experienced a surge in recent times. Nevertheless, there remains a notable lack of comprehension surrounding the most efficient ways to integrate these technologies into tailored teaching approaches for vocational construction training. This research study aims to pinpoint the key factors that construction vocational education and training (VET) providers must consider when introducing XR technologies into their training schemes.

This study conducted an in-depth literature review to develop an initial framework to summarise training, technology and institutional factors influencing the educational-technology integration of XR technologies in VET. In addition, this study utilised a Delphi technique, including semi-structured group discussions and two rounds of online follow-up questionnaires, to capture VET experts’ judgements on the importance of decision-making criteria.

This study has identified the critical factors to be considered in the VET sector when adopting XR technologies. Findings revealed institutional factors were the most important criteria for participants, followed by training and technology factors.

The current decision-making process focuses on selecting XR technologies rather than evaluating their performance after implementation. Therefore, more research is needed to monitor the implementation of this technology in curricula from a senior management perspective. This will help to understand the cost and value factors related to the value proposition of XR technologies in courses.

To ensure the success and long-term viability of the technology-curriculum interface, it is important to consider factors such as the availability of technical and educational support, data security and cost-effectiveness. It is also crucial to focus on ease of use and content development that emphasises instruction to create engaging content for learners.

The potential impact of this study is underpinned by two facts: (1) it constitutes the first effort made in the field to comprehensively elicit VET expert judgements in relation to XR technologies, and (2) it offers decision-making criteria that are at play in seeking to take advantage of high-cost technologies that are rapidly evolving. While there is no simple checklist for XR implementation, this study takes a step further to identify significant factors influencing XR integration in vocational construction training.

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.

Although ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.

While the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.

This paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.

The complexity of succession in family firms is multifaceted and can sometimes lead to turbulence. While structured succession strategies offer a roadmap for smoother transitions, intergenerational differences in family small and medium-sized enterprises (SMEs) can lead to varied interpretations of an effective succession blueprint. This study synergizes the strategic entrepreneurship framework with the socioemotional wealth (SEW) perspective to probe into how formalized succession planning impacts performance in family SMEs. Furthermore, it delves into the mediating role of succession satisfaction, especially in family firms characterized by pronounced SEW and helmed by CEOs from different generational cohorts.

Employing a comprehensive dataset from 1,833 global family businesses, this research utilizes bootstrapping regression models to discern the intertwined effects of mediator and moderator variables and their statistical significance.

The main findings suggest that succession satisfaction does matter for a good succession process and that succession plans work only in family firms with a high degree of SEW and that are led by older family CEOs (e.g. baby boomers).

The results offer fresh perspectives on succession processes, with a particular focus on how to improve the satisfaction of millennial family CEOs.

The study uniquely combines strategic entrepreneurship and SEW to offer a holistic view of succession planning, highlighting satisfaction’s mediating role and SEW’s moderating influence. Additionally, it pioneers the incorporation of generational cohorts into the succession discourse.

This study aims to analyze the importance and performance of customer-facing technologies in luxury hotels. The study also assessed differences between and within the four generations in the importance-performance analysis (IPA).

Data were collected using a Qualtrics panel of recent luxury hotel customers in the USA belonging to all four generations. The cross-generational IPA was conducted using t-tests and (ANAOVA).

The IPA matrix concentrated most technology items in either low importance – low performance or high importance – high performance quadrants. One-way ANOVA revealed significant differences between generations on the importance ratings of all technology items except wireless charging power solutions and on the performance ratings of all technology items. Furthermore, post hoc tests indicated that millennials rated luxury technology most favorably among the four cohorts, followed by generations Z, X and Baby Boomers. In addition, significant differences between the importance and performance of many technology items within each generational cohort were observed. Overall, Wi-Fi was unanimously ranked across generations as the most important technology among luxury guests, but it was the only one that scored lower in performance than importance.

The findings of this study contribute to hospitality scholarship in two primary ways: the importance and performance of technology and generational differences. The results advance the understanding of the impact of generational factors on customer-facing technological adoptions in the luxury hotel sector.

Technologies that are pervasive in the home also become vital offerings for hotels. The more pervasive technology, the more a luxury hotel must work to ensure that it performs at optimal levels. Additionally, which technologies are most important to targeted generations are provided so practitioners may budget for their implementation.

This research is a pivotal step forward in unraveling the intricate interplay between generational factors and technological evaluations, providing a foundation for future research and practical applications in a rapidly evolving technological landscape in the hospitality industry.

The purpose of this paper is to review cases of artificial reefs built through additive manufacturing (AM) technologies and analyse their ecological goals, fabrication process, materials, structural design features and implementation location to determine predominant parameters, environmental impacts, advantages, and limitations.

The review analysed 16 cases of artificial reefs from both temperate and tropical regions. These were categorised based on the AM process used, the mortar material used (crucial for biological applications), the structural design features and the location of implementation. These parameters are assessed to determine how effectively the designs meet the stipulated ecological goals, how AM technologies demonstrate their potential in comparison to conventional methods and the preference locations of these implementations.

The overview revealed that the dominant artificial reef implementation occurs in the Mediterranean and Atlantic Seas, both accounting for 24%. The remaining cases were in the Australian Sea (20%), the South Asia Sea (12%), the Persian Gulf and the Pacific Ocean, both with 8%, and the Indian Sea with 4% of all the cases studied. It was concluded that fused filament fabrication, binder jetting and material extrusion represent the main AM processes used to build artificial reefs. Cementitious materials, ceramics, polymers and geopolymer formulations were used, incorporating aggregates from mineral residues, biological wastes and pozzolan materials, to reduce environmental impacts, promote the circular economy and be more beneficial for marine ecosystems. The evaluation ranking assessed how well their design and materials align with their ecological goals, demonstrating that five cases were ranked with high effectiveness, ten projects with moderate effectiveness and one case with low effectiveness.

AM represents an innovative method for marine restoration and management. It offers a rapid prototyping technique for design validation and enables the creation of highly complex shapes for habitat diversification while incorporating a diverse range of materials to benefit environmental and marine species’ habitats.

This study examines the adoption of information and communication technologies (ICT) for e-recruitment and its impacts on public value outcomes.

A survey was conducted with 213 public sector employees in the federal civil service using a questionnaire to test a conceptual model integrating the Technology Acceptance Model, Media Richness Theory and Public Value Theory using PLS-SEM analysis.

Results validate significant positive relationships between ICT adoption, social media use for e-recruitment and public value creation. Internet self-efficacy positively moderates public value outcomes.

While this study makes valuable contributions, avenues remain to further expand generalizability, strengthen validity and incorporate additional institutional factors in the framework.

The study provides insights to guide policies and interventions aimed at improving ICT adoption success and public value gains from e-government investments in developing countries.

The research makes key contributions by operationalizing and empirically assessing the public value impacts of e-government innovations and examining adoption issues in an understudied developing country context.

The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era.

The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for learning platform usage from the primary data collected through a survey of 163 respondents.

The model simulation observed promising trends over one year for online learning platforms provided the challenges are reduced in seven to eight months. Challenges linked to the Internet and interaction need must be removed for future usage.

The results of the survey and model simulation suggest actions for product planning and development of online learning platforms based on customer insights. Product customization and feature enhancement will be required for the continued usability of online learning products. Actions for Internet service providers are to capture the online learner market by removing issues of Internet access bandwidth, and quality of content. Also, there should be sufficient teacher–student interaction in the online learning mode.

This is an original study using systems modeling to evaluate factors contributing to students' intention to use online learning conducted at Dayalbagh Educational Institute (Deemed to be University) Dayalbagh Agra, UP, India, 282005.

After completion of the case study, students will be able to critically appraise the strategic growth opportunities of an “eating out” industry brand; evaluate the role of customer relationship and retention management in sustaining a brand; and analyse the importance of developing core competencies for long-term business viability.

Since its inception in 2017, Urban Chowk was one of the pioneer places that successfully managed to create a hospitality format called “food and lifestyle park” which combined multiple food brands with good ambience and entertainment, all under the same roof. Although Urban Chowk was one of the popular brands in the given format, its USP was not difficult to challenge or copy. The owner, Mr Kartikey Rajput, anticipated a deluge of similar establishments in the near future. Urban Chowk led the pack in terms of footfalls compared to similar establishments, with Rajput looking to expand his brand beyond Ahmedabad. The case took 2022 as the timeline and brought forth the challenge that Urban Chowk faced. The primary challenge was retaining the existing customer base along with adding newer ones. Second, with the industry being extremely dynamic, it was important to determine how marketing analytics could be used to collect customer data and convert them into repeat customers, thus building a loyal customer base.

This case is applicable for teaching at undergraduate and graduate levels for understanding the concepts of brand development and strategic growth as well as creating and maintaining customer relationships, also helping the students in assimilating these concepts as a part of brand building.

Teaching notes are available for educators only.

CSS 11: Strategy.