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The global hosting of major events is garnering increasing attention from governments. As this phenomenon expands into emerging states, where arguably the most severe inequalities exist, the question of who truly benefits from these events has not been systematically scrutinised, particularly from an Equality, Diversity and Inclusion (EDI) perspective. Therefore, adopting a nuanced segmentation approach is increasingly vital to assess the diverse impacts of hosting major sporting events on varied populations. This systematic review offers a broad and exploratory investigation into how major sporting events affect communities and individuals from disadvantaged backgrounds (CIDBs).

In alignment with the PRISMA guidelines, four academic databases were searched to identify peer-reviewed articles published in English-language journals from 2000 to 2023. A total of 95 full-text articles were assessed for eligibility, culminating in a final sample of 14 articles in the review.

The selected articles showed moderate quality and primarily used qualitative methods. The urban theories or event leverage frameworks are frequently employed. There are four legacy/impact themes that emerged: social, economic, sport and infrastructure. The prevailing conclusion is that CIDBs tend to experience negative legacies from these events.

This research underscores the pressing need for more socially responsible and equitable approaches to event hosting. Failing to tackle these crucial issues may intensify existing inequalities and provoke significant public dissatisfaction, thereby jeopardising the overarching goals these major events strive to accomplish.

This review marks the first of its kind, offering a thorough and comprehensive synthesis of evidence concerning the legacies of major events for CIDBs.

This empirical study uses the stimulus-organism-response (S-O-R) framework to examine the interrelationships amongst hotel websites and app quality, flow, telepresence, user engagement and booking intentions.

Data from two different datasets, including users of hotel websites (N sample 1 = 257) and hotel mobile apps (N sample 2 = 292), were collected. Partial least squares (PLS-SEM) was used to test the research model.

Findings indicate that the quality of the hotel websites and mobile apps positively influences telepresence, flow and engagement. Telepresence and flow positively affect the users booking intentions for both the samples. However, for hotel website users, engagement has a no-significant effect on booking intentions. Finally, telepresence has a non-significant effect on flow, and flow has a non-significant effect on engagement for both the users of hotel websites and mobile apps.

This study uses two datasets to understand how hotel booking channel (hotel website and mobile app) quality leads to booking intentions by tapping into telepresence, flow and engagement.

Aiming at the problems of poor accuracy and limitation in strength assessment of spot welding vehicle body caused by uncertain factors, such as key component size and nugget diameter, the numerical models of strength uncertainty analysis of spot-welded joints were constructed based on evidence theory and fuzzy theory.

Evidence theory and fuzzy theory are used to deal with the uncertainty of design parameter, and differential evolution algorithms are used to calculate the propagation process of uncertainty in this model. Furthermore, efficient relationship between the strength of welded joints and each design parameter is constructed by using response surface proxy model, which effectively avoids the problem of repeated complex finite element analysis in uncertainty analysis.

The results show that the constructed uncertainty numerical model is effective for the multiple uncertainties and give interval results under different probabilities and affiliations, which can more effectively evaluate the strength of the welded body structure to avoid overly conservative estimates for deterministic design.

The evidence theory is improved and combined with differential evolution algorithm and response surface method to effectively improve the computational efficiency. Based on the improved evidence theory and fuzzy algorithm, the numerical models for the uncertainty analysis of solder joint strength of welded structures are constructed and their feasibility is verified.

The primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.

This research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.

This study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.

This analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.

This study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.