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Purpose: This chapter provides a thorough explanation of the growth of community-based tourism in Bangladesh, encompassing its historical background, challenges faced, and potential strategies for future advancement.

Methodology: We employed a descriptive analysis based on the literature review of the development and expansion of community-based tourism in Bangladesh. This study looks at the development of community-based tourism (CBT) throughout history, as well as the innovative contributions made by Non-Governmental Organizations (NGOs) and local groups in CBT initiatives, government policies, international recognition, challenges encountered (such as environmental and economic concerns), and potential strategies for future expansion.

Findings: The chapter suggests various methods for future growth, including developing policies, involvement of the private sector, execution of marketing strategies, and empowerment of the community through training and enhancing their abilities.

Value: The study provides insightful information regarding the distinctive characteristics of community-based tourism in Bangladesh, drawing attention to the country's long-standing tradition of extended hospitality and cultural heritage. Moreover, the study analyzes the difficulties and opportunities that CBT efforts encounter in the region and the proposition of individualized solutions for sustainable growth.

Implications: This study not only improves the quality of experiences that tourists have, but it also gives a voice to underrepresented groups by prioritizing local communities. In addition, it instills a sense of ownership and pride in the community's residents, motivating them to make a long-term commitment to preserving the legacy of developing CBT in Bangladesh.

Food tourism and culinary experiences have attracted much interest as a specialist market within the more significant tourist business. Bangladesh, a South Asian nation renowned for its rich cultural legacy, various culinary traditions and lively street food culture, is an alluring destination for food tourism. Bengali, Mughlai, British and tribal cuisines have all left their mark on Bangladesh's gastronomic landscape. Shorshe Ilish, Biryani and other traditional Bengali meals highlight the flavours and cooking methods handed down through the years. This paper highlights the significance of food as a cultural expression and its role in tying people to their heritage. Travellers may partake in immersive experiences that offer insights into the nation's culinary traditions by participating in cooking lessons, food workshops, market exploration and food tours and participating in these activities. Culinary tourism can improve cross-cultural understanding and enjoyment by enhancing cultural interchange. Although food tourism in Bangladesh is becoming more popular, there are still prospects for growth and marketing. This paper emphasizes the importance of strategic planning, stakeholder engagement and marketing initiatives to promote Bangladesh as a culinary destination on a worldwide scale. Bangladesh can draw food lovers and tourists looking for distinctive culinary experiences by leveraging its gastronomic variety and rich culinary tradition. Overall, this paper highlights the value of food tourism in highlighting Bangladesh's culinary gems and its promise for long-term tourist growth. Visitors may go on a gastronomic journey celebrating Bangladesh's cultural identity by learning about regional tastes, traditional cooking methods and culinary tales.

Lean Six Sigma 4.0 has brought about a paradigm shift in customization, automation, value creation and digitalization to achieve excellence in human factors, operations and sustainable development. Despite its potential, LSS 4.0 is still in its nascent stage, with researchers striving to identify the key and relevant components of LSS in relation to Industry 4.0. The present study aims to address this knowledge gap through a literature review and subsequently provide a conceptual framework for LSS within the context of digital transformation.

In this study, the authors have conducted a thorough review of reputable articles published between 2011 and 2022, focusing on the integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0). By using appropriate keywords, the authors identified around 85 relevant articles. The main objective of this integrative literature review was to analyze and extract valuable knowledge from the existing literature on LSS and I4.0. Based on the authors’ findings, a conceptual framework was developed.

The review revealed the motivators, building blocks, tools and challenges of LSS 4.0. The conceptual framework delves into the key aspects of LSS 4.0, focusing on the dimensions of people, process and technology, as well as their subdimensions. These subdimensions serve as the building blocks for developing LSS 4.0 capabilities. The proposed framework visually represents the conceptualization and the relationships among its components.

Only a few conceptual approaches to LSS are developed that include the concepts, new roles and elements of I4.0. As a result, this research investigates the gap in current LSS models preceding I4.0 and develops a conceptual framework to provide a novel and comprehensive summary of the new concepts and components driving nascent and current LSS practices in the digital era.

This study offers practical guidance for implementing LSS in the context of I4.0, emphasizing digital transformation. The findings highlight motivators, building blocks, tools, challenges and spread of LSS 4.0 practices, and present a conceptual framework of LSS 4.0. These insights can help organizations enhance their LSS capabilities and achieve excellence in human factors, operations and sustainable development.

This study aims to make a significant contribution to the model-building efforts of researchers focusing on LSS 4.0. By offering practical guidance, the points discussed in this study help enhance the implementation efforts of practitioners and organizations in the context of I4.0, with a specific focus on digital transformation. The guidance provided takes into account the perspectives of people, processes and technology, providing valuable insights for successful integration.

This study aims to investigate the relationship between patient satisfaction (PS) and the parameters in healthcare and supply chain management (HLSCM).

The structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) method have been employed to identify correlation and possible configuration of causal factors that influence PS, including lack of resilience (LS), lack of visibility (LV), cost management (CM) and integration and interoperability (II).

The results from SEM confirmed that PS is highly correlated with lack of visibility, CM and II as critical parameters. Moreover, fsQCA findings state that the configuration of high levels of both resilience and lack of visibility, as well as high levels of II, are crucial for PS.

The researchers also identified the configuration of factors that lead to low PS. The study’s results could assist healthcare providers in improving their supply chain operations, resulting in more effective and efficient healthcare service delivery and ultimately improving PS.

The fsQCA method used in the study provides a more nuanced understanding of the complex interplay between these factors. The inclusion of supply chain management characteristics as parameters in the evaluation of PS is a novel aspect of this research. Previous studies largely focused on more traditional factors such as physical care, waiting times and hospital amenities. By considering supply chain management factors, this study provides insights into an under-explored area of PS research, which has important implications for healthcare providers looking to improve their operations and PS.

This chapter investigated tendering in stealth construction, emphasising innovative approaches and methodologies that prioritise environmental protection, safety, efficiency, and aesthetics. It began with an overview of the construction industry’s tendering processes, followed by an in-depth examination of various tendering types, including competitive and negotiated methods. The study highlighted contemporary trends such as electronic tendering, Building Information Modelling (BIM), green and sustainable procurement, risk management, data analytics, artificial intelligence, lean construction practices, and blockchain technology. Moreover, with a specific focus on stealth construction, the chapter further analysed certain criteria, including building cross-section development, visibility, radio frequency emission, and countermeasures. It explored integrating functional construction systems, including environmental, safety, health, and quality management. Additionally, it discussed methods like green building, modular construction, and low-impact techniques. Lastly, the chapter emphasised the strategies to achieve environmental protection, safety, speed, economy, and aesthetics in tendering for stealth construction.

Understanding and mitigating stock price crash risk is vital for investors and regulators to ensure financial market stability. This study aims to unveil significant research trends and opportunities.

This study adopts the bibliometric and systematic review approach to analyse 485 Scopus-indexed articles through citation, keyword co-occurrence, bibliographic coupling, and publication analyses and delve into the depth of crash risk literature.

This bibliometric review reveals not only a surge in crash risk publications over the last decade but also delineates several emerging thematic threads within this domain. We identify seven distinct themes that have gained prominence in recent literature: bad news hoarding, board characteristics, capital market factors, corporate policies, ownership impact, corporate governance, and external environmental influences on crash risk. This thematic analysis provides a comprehensive overview of the evolving landscape of crash risk research and underscores the multifaceted nature of factors contributing to market instability.

This study makes a substantial contribution by furnishing a thorough examination of existing studies, pinpointing areas where knowledge is lacking, and shedding light on emerging trends and debates within the crash risk literature.

This study identifies current research trajectories and propels future exploration into agency perspectives, audit quality, and corporate disclosures within crash risk literature.

Purpose: Recent years have seen a tremendous surge in research into corporate social responsibility (CSR). One noticeable aspect is the increasing relevance of CSR in the tourist and hospitality industry, which reflects the industry's fast growth and emphasis on solving societal issues. The current study aimed to assess CSR in tourism and hospitality offering a thorough understanding of CSR in a wider context of sustainability, financial performance and ethical considerations.

Methodology: A qualitative desk research approach was undertaken to conduct this study. Thorough review of contemporary research literature, including content analysis, was done for data gathering.

Findings: Findings show that CSR is rising as a key trend in the worldwide tourism and hospitality business, with a significant impact on the industry's performance and development. Tourism and hospitality industry shows both positive and negative economic impacts on the environment and society. To offset negative impacts, this industry is progressively embracing CSR initiatives. An integration between CSR and sustainable tourism, highlights the stability of socioeconomic, environmental, and cultural growth while considering interests of all stakeholders. The effect of CSR on the financial performance of the tourist and hospitality industry reveals that CSR has a favorable influence on financial performance of hotels, but mixed outcomes are shown in restaurants, cruises, and airlines. Highlighting insights on tourism corporations incorporating strategic and ethical CSR ideals into their activities, this study concludes with practical implications.

Originality: This study creates a unified integrated framework based on intersection of strategic CSR, financial performance, sustainability, and ethical aspects in tourism and hospitality.

Purpose: To examine the hotel industry’s evolutionary journey, charting it from the era of digital manufacturing to the current epoch of Industry 5.0, the emergence of the digital society. Industry 5.0 signifies a fundamental change, where the physical and digital aspects merge to establish a more engaging and integrated hospitality experience.

Study design: Using secondary sources, the transformation’s complex difficulties and possibilities are analyzed. We have designed this chapter based on the importance of trust, ethical data use, and teamwork in successfully navigating the complexity of digital production to the digital society based on the Industry 5.0 era. The industry deals with rising cybersecurity threats, ethical concerns about artificial intelligence (AI), and the critical need for a highly skilled digital workforce. This chapter emphasizes the importance of cross-industry collaboration and knowledge exchange as strategic imperatives.

Findings: The importance of developing a highly skilled workforce capable of effectively navigating the complexities of Industry 5.0. Promoting cross-industry collaborations and knowledge exchange is part of the suggested answer. These collaborative efforts are necessary to create a sustainable and fully connected future for the hospitality sector. This chapter promotes a comprehensive approach to implementing Industry 5.0 in the hotel sector.

Originality: The value of this chapter is that amid a growing dependence on digital connections, this chapter emphasizes the pressing requirement for the hotel industry to confront cybersecurity issues and maintain ethical principles when implementing AI in the hospitality industry.

This study aims to systematically review the literature on how various factors influence investor sentiment and affect financial markets. This study also sought to present an overview of explored contexts and research foci, identifying gaps in the literature and setting an agenda for future research.

The systematic literature investigation yielded 555 journal articles, with few other exceptional inclusions. The data have been extracted from the two databases, i.e. Scopus and Web of Science. For bibliometric analysis, VOSviewer and Biblioshiny by R have been used. The period of investigation is from 1985 to July 2023.

This systematic literature review helped us identify factors influencing investor sentiment and financial markets. This study has broadly classified these factors into two categories: rational and irrational. Rational factors include – economics and monetary policy, exchange rate, interest rates, inflation, government mandatory regulations, earning announcements, stock-split, dividend decisions, audit quality, environmental, social and governance aspects and ratings. Irrational factors include – behavioural and psychological factors, social media and online talk, news and entertainment, geopolitical and war events, calendar anomalies, environmental, natural disasters, religious events and festivals, irrationality caused due to government/supervisory body regulations, and corporate events. Using these factors, this study has developed an investor sentiment model. In addition, this review identified research trends, methodology, data and techniques used by researchers.

This review comprehensively explains how various factors affect investor sentiment and the stock market using the investor sentiment model. It further proposes an extensive future research agenda. This study has implications for stock market participants.

Recycled aggregate self-compacting concrete (RASCC) has the potential for sustainable resource utilization and has been widely applied. Predicting the compressive strength (CS) of RASCC is challenging due to its complex composite nature and nonlinear behavior.

This study comprehensively evaluated commonly used machine learning (ML) techniques, including artificial neural networks (ANN), random trees (RT), bagging and random forests (RF) for predicting the CS of RASCC. The results indicate that RF and ANN models typically have advantages with higher R2 values, lower root mean square error (RMSE), mean square error (MSE) and mean absolute error (MAE) values.

The combination of ML and Shapley additive explanation (SHAP) interpretable algorithms provides physical rationality, allowing engineers to adjust the proportion based on parameter analysis to predict and design RASCC. The sensitivity analysis of the ML model indicates that ANN’s interpretation ability is weaker than tree-based algorithms (RT, BG and RF). ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.

ML regression technology has high accuracy, good interpretability and great potential for predicting the CS of RASCC.