Search results

Studies addressing rural residents’ understanding of global warming and their willingness to pay higher prices to mitigate it are very limited. The purpose of this study is to examine the general understanding and attitudes of rural residents in China regarding global warming and their willingness to pay higher prices to mitigate it.

This study surveyed 1,185 rural residents in three counties of coastal, middle and western China. Multivariate regression analysis was conducted to reveal the relationships between the willingness to pay higher prices to mitigate global warming and influencing factors.

The majority of respondents had heard of global warming; however, their knowledge of the phenomenon and its causes was very limited. Most respondents admitted the likelihood of risks from global warming. Although most respondents thought they had an obligation to mitigate global warming, only a small percentage of them were willing to pay higher prices to address the problem; the unwillingness of respondents to pay higher prices to mitigate global warming may have been associated with their low income and perceived inability to handle the cost, externalisation of responsibility and causes and lack of knowledge of how to affect it.

This study examines the general understanding and attitudes of rural residents in China regarding global warming and their willingness to pay higher prices to mitigate it. The research is conducive to climate change communications and the implementation of climate policies in China’s rural areas.

This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers.

The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions.

The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination.

The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return.

To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility.

The purpose of this paper is to explore the data connection, spatial distribution characteristics and trends in genealogical information. First, it implements a spatial-temporal visualization of the Hakka genealogical information system that makes these individual family pedigree charts appear as one seamless genealogy to family and researchers seeking connections and family history all over the world. Second, this study applies migration analysis by applying big data technologies to Hakka genealogies to investigate the migration patterns of the Hakka ethnic group in Taiwan between 1954 and 2014. This innovative library service enhances the Hakka genealogical migration analysis using big data.

The platform is designed for the exchange of genealogical data to be used in big data analysis. This study integrates big data and geographic information systems (GIS) to map the population distribution themes. The general procedure included collecting genealogical big data, geographic encoding, gathering the map information, GIS layer integration and migration map production.

The analytical results demonstrate that big data technology is highly appropriate for family migration history analysis, given the increasing volume, velocity and variety of genealogical data. The spatial-temporal visualization of the genealogical research platform can follow family history and migration paths, and dynamically generate roadmaps to simplify the cartographic steps.

Technology that combines big data and GIS is suitable for performing migration analysis based on genealogy. A web-based application for spatial-temporal genealogical information also demonstrates the contribution of innovative library services.

Big data play a dominant role in library services, and in turn, provide an active library service. These findings indicate that big data technology can provide a suitable tool for improving library services.

Online genealogy and family trees are linked with large-volume, growing data sets that are complex and have multiple, autonomous sources. The migration analysis using big data has the potential to help genealogy researchers to construct minority ethnic history.

In this chapter, how the occupational stress process changes over the life course and how this may intersect with observed generational differences are examined. This is done by jointly reviewing studies on occupational well-being that adopted the theoretical lens of generational or lifespan developmental perspectives; the two perspectives are closely related and have the potential to better inform one another because both consider chronological age to be a pivotal factor driving individual differences in work values, attitudes and well-being. However, these perspectives have yet to be simultaneously considered in a review of occupational well-being research, leaving scholars wondering whether they overlap, and if so, in which area. It is hoped that juxtaposition of the two disparate bodies of literature can better inform the convergence and divergence of findings on worker well-being scattered across the two literatures. In this chapter, (a) generational differences in job satisfaction, (b) how work characteristics may differentially affect job satisfaction in workers across generations, (c) how work contexts may differentially impact job satisfaction across generations, (d) generational differences in work-family interface, and lastly, (e) recent developments in the field are discussed. Although extant research on the first topic, generational differences in job satisfaction, has shown some consistent evidence, research findings in the subsequent topics remain relatively inconsistent. Based on our review, it is concluded that additional research is needed to expand our understanding of the role of generation and chronological age in workers’ occupational well-being.

This study evaluated the bundled impact of high performance work practices (HPWPs) on Generation Y (Gen Y) employee engagement (EE) while considering empowering leadership (EL) as a mediator.

The data for the study are received from 404 Gen Y frontline service employees from three to five star Indian hotels and examined using structural equation modeling.

Gen Y employees' perception of HPWPs directly explains their engagement, and EL partially mediates the link between HPWPs and Gen Y EE.

This study suggests managers to gain from implementing HPWPs and their impact on Gen Y engagement to boost their organizational performance.

This study suggests managers to gain from implementing HPWPs and their impact on Gen Y EE to boost their employee and hotel's performance.

The present research is one of the few attempts to study how HPWPs can engage the Gen Y cohort in the workplace, especially in developing countries (i.e. India).

This paper aims to empirically explore the influence of website aesthetic attributes (classical and expressive) on customer brand engagement (CBE) intention.

This research develops a framework and a few research hypothesis based on available literature on the concept of aesthetics, aesthetic attribute of websites and CBE, as well as other reliable resources, relevant theories, wherever required and tested it on the data collected from 400 respondents of the Y generation (Gen Y) of India by means of structural equations modelling using SPSS AMOS 21.

The findings indicate that expressive aesthetics of the brand Web pages of the beauty products is positively associated with drawing attention. Expressive aesthetics and classical aesthetics together explained 16% of the variance in attention. This indicates that aesthetic attributes indeed play a role in drawing the attention of the customer. However, mere attention is not sufficient to form the behavioural intention in the customer to engage with that particular brand unless the customer does get fully absorbed with aesthetic attributes of the brand Web pages.

The outcome of this research is based on the view of only 400 Gen Y individuals from the city of Indore in India. This limits its generalizability across India and other country context. This study makes important contribution to brand website aesthetic and CBE literature by empirically investigating the concept of brand website aesthetics as important in interactive marketing approach to initiate CBE intention formation. It further argues that cognitive engagement is the first and foremost engagement dimension and underscores aesthetic attributes as important in forming the customer first perception based on which subsequent CBE behavioural intention develops.

This research adds novel insight in the relationship of the brand website aesthetic attributes and CBE by studying the impact of the aesthetic attribute of brand Web pages on the two cognitive elements, namely, attention and absorption and further its effect on brand behavioural intention taking as sample of Gen Y of India.

Generation Z will be the leading consumer group in the future. Using convenience stores, the study provides an in-depth analysis on Gen Z’s current experience and future expectations from retail stores. The study further highlights the differences between Gen Z’s perception of convenience stores across three different regions – the USA, South Korea and Japan.

This study conducted a series of in-depth, semi-structured interviews with 36 Gen Z participants from the USA (12), South Korea (11) and Japan (13). All interviews were first coded based on a preselected list of themes and were further coded with new themes that emerged from exploratory coding.

Each regional cohort varied in terms of how they experienced and what they expected from convenience stores. US participants showed negative or utilitarian attitudes toward convenience stores, whereas South Korean participants had a positive, personal attachment to them. In comparison, Japanese participants had a relatively neutral attitude. However, all three groups showed a common preference for smart technology and health concerns surrounding convenience store foods.

Convenience store chains should consider the cultural nuances when designing future services. The chains should further strive to remove the health concerns about the foods provided at the stores and design smart technologies that enhance user experience.

The present study broadens the knowledge in this budding consumer segment where current research is limited. It further sheds light on the variance among Gen Zers across different cultural contexts.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.