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Literature has paid limited attention to narcissism’s influence on tourism. The pre-trip planning stage involves temporal psychological distance, where decision-making regarding the trip stretches over a period of time and occurs anytime during that period. Using narcissism theory and with temporal distance (6 months and 1 week before the trip) as the moderator, this study examines how tourists’ self-sacrificing self-enhancement and grandiose fantasy – grandiose narcissism facets – and travel motivations affect attraction visit intentions.

Partial least squares (PLS) analysis was applied on survey information obtained from 374 individuals (200 and 174 were six-months and one-week scenarios, respectively).

Grandiose narcissism facets affect motivations and visit intentions to various attractions at different temporal distances. The consequences of grandiose fantasy and self-sacrificing self-enhancement on motivation become evident as temporal distance decreases. At large temporal distances, grandiose fantasy positively influences social recognition motivation. At short temporal distances, it positively influences social recognition and ego and negatively influences scenery and relaxation motivations. Self-sacrificing self-enhancement positively influences socialization, exploration, scenery, relaxation and escape motivations at large temporal distances. At short temporal distances, self-sacrificing self-enhancement positively influences historical attraction visit intentions.

Grandiose narcissism facets’ influence on tourism is rarely examined. This study extends the temporal distance concept to the narcissism theory. It integrates the effects of grandiose narcissism and temporal distance on tourists’ motivations and different attraction type visit intentions and shows that motivation is temporally distance-specific.

The purpose of this paper is to examine the relationship between wine tourism experiences (i.e. winescape, winery service quality, winery brand differentiation and tourist motivation) and tourist behavioral intentions (satisfaction, loyalty and revisit intention) from both demand and supply perspectives in Ningxia, China, by using the SERVQUAL model and the self-determination theory.

The research comprises two studies with an exploratory sequential mixed-methods approach. Study 1 adopted semi-structured interviews with winery owners and managers to explore the factors related to wine tourism experiences that influence tourists’ tourism experience. The results from the Study 1 leads to Study 2, which used a survey to explore wine tourist experiences and their behavioral intentions

This study provided important information regarding the factors that influence wine tourists experience in Ningxia wine region from the perspectives of supply and demands sides. Frist, this study confirmed the various factors influence wine tourism experiences in Ningxia based on the results from Study 1 (supply perspectives). Second, by further investigation in the Study 1, this study integrates the SERVQUAL model and the self-determination theory as fundamental theoretical frameworks in Study 2 to analysis the tourist perspectives. Third, as results, the authors finally confirmed the theoretical frameworks of wine tourism in Ningxia based on dual supply-demand perspectives.

The integration of multiple research approaches enriches the research findings and provides a more robust understanding of the wine tourism experiences in Ningxia.

It is important to understand the factors that are significant in supply chain (SC) collaboration decision making and whether supply chain collaborative factors that are considered in the literature are still valid. To date, SC collaboration has not been extensively studied in the literature with supply chain finance (SCF) factors to evaluate SCF performance. Therefore, in this paper, the authors investigate the interrelationships between SCF and supply chain collaborative (SCC) factors for achieving SCF performance. The authors identified the most important factors from the literature on SCF and SCC and with inputs from experts in the textile industry in Pakistan.

The authors employed the Gray-Decision Making Trial and Evaluation Laboratory approach to help examine the cause-and-effect relationship between the factors and identify the influence of each factor on the others.

The findings showed that the most prominent factors of the study are “level of digitalization”, “information sharing”, and “collaborative communication”, and “most effect factors of this study are incentive alignment” and “information quality”. Furthermore, the “Level of digitalization” was identified as the factor with the central role and most significant correlation with other factors.

The major implication of the study is that textile industries should effectively develop their supply chain decisions after analyzing their internal and external factors, which will help in developing strategies that will facilitate better management of SCF relationships. The limitations of the study are that only 15 SCF and supply chain collaborative factors were considered, and time and scope are also limited. This study is only applied in the textile industry, so generalization may be limited.

To date, this study is the only one that has taken into consideration SCC with SCF factors to evaluate supply chain performance. This paper therefore makes this initial attempt and original contribution to this discussion, which can be helpful for those working to enhance supply chain performance, such as practitioners and policymakers.

This case study focuses on an alternative minimum-security model, the Safety Income (SI) Model, representing a nuanced departure from both established policies and UBI. StI is a welfare system that supplements households earning below the standard median income with 50% of the difference between the standard median and their current earnings. The quantitative case study presents the set-up of SI and assesses the cost of its implementation in South Korea. By employing a computable general equilibrium model method, the study compares the impacts of SI, UBI and the existing scheme in South Korea on income disparities, labor market outcomes and Gross Domestic Product.

In the past decade, the Universal Basic Income (UBI) concept has gained international significant traction as a potential remedy for poverty and inequality. However, the practical implications of UBI implementation remain under extensive debate. It is unclear if UBI is an effective model for poverty alleviation.

The analyses show that SI outperforms the other two welfare systems across all studied economic indicators. SI demonstrates more substantial reductions in income inequality compared with UBI and the existing scheme, minimal impact on unemployment rates compared with other schemes and a relatively modest decrease in GDP, making it a more favorable choice for South Korea when developing the minimum-security system within the specified budget constraint.

This research contributes to the discourse surrounding basic income, economic security, poverty alleviation and inclusive social policies.

At the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance.

Data were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software.

The result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework.

This study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance.

The study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.

Given the importance of green finance in a discussion of energy efficiency and clean energy, it is critical to evaluate its implications for the growth of renewable energy. This study examines the impact of green finance on renewable energy development in Singapore.

The dynamic ordinary least squares (DOLS) regression was used in this work to test such a connection.

Using the DOLS for the period 2000–2020, it was discovered that green finance aids renewable energy development in Singapore. Additionally, the findings revealed that economic growth, oil prices, energy consumption, carbon dioxide emissions and institutional factors are all positively associated with renewable energy growth, resulting in a boost in renewable energy development.

Hence, as a result, the monetary authorities of Singapore, such as financial institutions, non-governmental organisations and corporations, should prioritise renewable energy projects under green finance initiatives to boost renewable energy growth. This may assist in raising investment flows to green projects; hence, accelerating the adoption of renewable energy.

Increased Singapore's initiatives to accelerate green finance have prompted this study to examine the research question of whether green finance has a significant impact on renewable energy growth. Thus, to the best of the authors’ knowledge, this will be the first empirical study to explore the impact of green finance on renewable energy growth in the case of Singapore.

This chapter explores the concept of regenerative tourism as a sustainable approach to travel and destination development. It examines the interconnectedness of regenerative agriculture and tourism, incorporating the adaptive cycle model and principles from the regenerative development framework. The chapter proposes a conceptual framework comprising five design dimensions: regeneration mindset, inherent potential, systems capability, intended system effects and tasks and resources. These dimensions guide the design and development of regenerative tourism interventions, aiming to shift the tourism regime towards regeneration. The chapter highlights the importance of adopting an ecological worldview, discovering the unique potential of each place, leveraging tourism living systems, creating regenerative places and communities and collaborating to enact regenerative approaches. Regenerative tourism offers solutions for rethinking and rebuilding the tourism industry, enhancing local economies, preserving cultures and biodiversity and providing transformative experiences for guests. The descriptive methodology allows for a comprehensive exploration and explanation of the conceptual framework and its potential implications for the tourism industry. It serves to inform readers about the key concepts, principles and dimensions of regenerative tourism, facilitating a better understanding of its theoretical foundations and practical applications. The chapter concludes that regenerative tourism requires a change in the economic model and societal perspective, focusing on qualitative development and improving human well-being through ecosystem health. It recommends the adoption of regenerative practices, emphasizing the positive impacts on destinations and stakeholders. Future directions include further research on regenerative tourism's effectiveness, exploring innovative strategies and technologies and fostering collaboration among stakeholders to enhance its implementation.

Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting.

The crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down.

In controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress.

The implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action.

This first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones.

Interviewing the protagonist and collecting information from secondary resources such as company documents, company and competitor websites, industry reports and online databases like Euromonitor International.

The case explores the metamorphosis of JK Masale from a small-scale family business in India to a regional player. Over a period of six decades, JK Masale (JKM) has emerged against the backdrop of a fiercely competitive spice industry. India, being a confluence of varied regional cultures, poses a diverse consumption pattern. It varies to a great extent with respect to the specific food habits prevalent in each climatic zone of the country. While the brand had successfully captured the Eastern Market and the western market of the country, Mr. Vikash Jain, Managing Director of JK Masale, contemplated to venture in Southern India and introduce new product categories. The case delves into one of the major challenges faced by JKM over the brand architecture and labelling across product categories. Thus, the case provides an excellent opportunity for budding managers to: analyse the company’s performance in the backdrop of a dynamic competitive environment; understand the nature of strategic decision-making and its appropriateness for a small family-owned business; evaluate a brand amongst brands on the architectural framework and select appropriate brand architecture for new products; and understand applicability and risks associated with growth strategies.

The case study can be positioned in both undergraduate and postgraduate level programs for courses on marketing strategy and brand management. Primarily, this case would be ideal to discuss brand relationship and brand architecture in the given context. Instructors have an option to cover concepts like market structure, company analysis, growth strategies and emergent and deliberate strategy through the case.

Wine tourism is gaining increasing popularity among Chinese tourists, making it necessary to thoroughly examine tourist behavior. While online reviews posted by wine tourists have been extensively studied from the perspectives of destinations and wineries, the perspective of the tourists themselves has been overlooked. To address this gap, this study aims to identify significant attributes intrinsic to the tourism experiences of Chinese wine tourists by adopting a text-mining approach from a tourist-centric perspective.

The authors use topic modeling to extract these attributes, calculate topic intensity to understand tourists’ attention distribution across these attributes and conduct topical sentiment analysis to evaluate tourists’ satisfaction levels with each attribute. The authors perform importance-performance analyses (IPAs) using topic intensity and sentiment scores. Furthermore, the authors conduct semistructured in-depth interviews with Chinese wine tourists to gain insights into the underlying reasons behind the key findings.

The study identifies eleven attributes for domestic wine tourists and seven attributes for outbound wine tourists. From the reviews of both domestic and outbound tourists, three common attributes have been identified: “scenic view”, “wine tasting and purchase” and “wine knowledge”.

According to the results of the IPAs, there is a pressing need for enhancements in the wine tasting and purchasing experience at domestic wine attractions. Additionally, managers of domestic wine attractions should continue to prioritize the positive aspects of the family trip experience and scenic views. On the other hand, for outbound wine attractions, it is crucial for managers to maintain their efforts in providing opportunities for wine knowledge acquisition, ensuring scenic views and upholding the reputation of wine regions.

First, this study breaks new ground by adopting a tourist-centric perspective to extract significant attributes from real wine tourism reviews. Second, the authors conduct a comparative analysis between Chinese wine tourists who travel domestically and those who travel abroad. The third novel aspect of this study is the application of IPA based on textual review data in the context of wine tourism. Fourth, by integrating topic modeling with qualitative interviews, the authors use a mixed-method approach to gain deeper insights into the experiences of Chinese wine tourists.