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Hospitality and tourism businesses often face environmental criticism as they rely heavily on natural resources to operate. Therefore, as a recent trend, hospitality companies are trying to adopt an environmentally friendly approach. Thus, this study sought to investigate the determinants of employee intention to engage in environmentally responsible actions in the workplace, drawing on the theory of planned behavior (TPB) and the value-belief norm (VBN) theory.

This study employed the fuzzy-set qualitative comparative analysis (fsQCA) to discover sufficient configurations for predicting employees’ intentions.

The result has provided recipes with an efficient combination of factors that can influence employees’ intention to undertake environmentally responsible behaviors.

This study contributes to the body of knowledge regarding sustainable behavior among employees and sustainability in the travel and hospitality sector. The findings of this research also provide managers and operators of sustainable hospitality businesses with guidance on how to enhance their staff members' environmentally friendly behaviors at work.

The investigation on the complexity of customer retention towards green products/services requires more solid analytical approaches. This study evaluated the net effects of antecedents of customer retention and the validity of configurational causal recipes that lead to customer retention in the green hotel context.

This study combined structural equation modeling (SEM), a fuzzy-set qualitative comparative analysis (fsQCA) and a necessary condition analysis (NCA). An online survey was conducted in China to evaluate the green hotel consumption.

Research findings showed that cognitive factors (perceived health benefits, green product performance, responsible employee performance and green physical environment performance) and affective factors (emotional well-being, feeling of happiness, attractiveness of green product and feeling of pride), played a distinctive role in generating customer retention toward green hotel products. The NCA found no factor was essential in order to achieve customer retention, which indicates that green hotel performance and brand management should pay more attention to emotional factors alongside cognitive factors.

Research findings provide significant managerial implications for improving green hotel services and business operations and enhancing consumers’ approach intention toward green hotel products.

This study adopted mixed approaches to investigate both the linear and nonlinear impacts of cognitive and affective factors that potentially lead to customer retention for green hotel products.

This study aims to fill a conceptual gap by identifying the dimensions of green experiential quality and empirically examining the interrelationships among green experiential quality, green equity, green image, green experiential satisfaction and green switching intention. A multi-dimensional model is used as a framework to synthesize the effects of green experiential quality, green equity, green image and green satisfaction on green switching intention of green hotel customers.

The data used in this study were collected from a sample of 535 customers staying in one green hotel of Taipei City, Taiwan. Data were analyzed using structural equation modeling and hierarchical regression analysis.

The findings support a multi-dimensional model consisting of four dimensions (interaction quality, physical environment quality, access quality and administration quality) to conceptualize and measure perceived green experiential quality. Perceived green experiential quality significantly influences green equity and green image, which, in turn, result in green experiential satisfaction. Green switching intention is influenced by green experiential satisfaction and green image. However, outcome quality is not a component of perceived green experiential quality, which, in turn, insignificantly results in green experiential satisfaction. Green image plays a role in moderating the relationship between green experiential quality and interaction quality, outcome quality, access quality and administration quality.

To increase green experiential quality and green equity, enhance green image and green experiential satisfaction and decrease green switching intention, the finding of this study will help green hotel management to develop and implement market-oriented service strategies.

This is the first study to synthesize the effects of green experiential quality, green equity, green image and green experiential satisfaction on green switching intention in a green hotel setting.

In the process of continuous casting and rolling of steel plate, due to the influence of rolling equipment and process, there are scratches, inclusions, patches, scabs and pitted surfaces on the surface of steel plate, which will not only affect the corrosion resistance, wear resistance and fatigue strength of steel plate but also may cause production accidents. Therefore, the detection of steel plate surface defect must be strengthened to ensure the production quality of steel plate and the smooth development of industrial construction.

(1) A steel plate surface defect detection technology based on small datasets is proposed, which can detect multiple surface defects and fill in the blank of scab defect detection. (2) A detection system based on intelligent recognition technology is built. The steel plate images are collected by the front-end monitoring device, then transmitted to the back-end monitoring center and processed by the embedded intelligent algorithms. (3) In order to reduce the impact of external light on the image, an improved Multi-Scale Retinex (MSR) enhancement algorithm based on adaptive weight calculation is proposed, which lays the foundation for subsequent object segmentation and feature extraction. (4) According to the different factors such as the cause and shape, the texture and shape features are combined to classify different defects on the steel plate surface. The defect classification model is constructed and the classification results are recorded and stored, which has certain application value in the field of steel plate surface defect detection. (5) The practicability and effectiveness of the proposed method are verified by comparison with other methods, and the field running tests are conducted based on the equipment commissioning field of China Heavy Machinery Institute.

When applied to small dataset, the precision of the proposed method is 94.5% and the time is 23.7 ms. In order to compare with deep learning technology, after expanding the image dataset, the precision and detection time of this paper are 0.948 and 24.2 ms, respectively. The proposed method is superior to other traditional image processing and deep learning methods. And the field recognition precision is 91.7%.

In brief, the steel plate surface defect detection technology based on computer vision is effective, but the previous attempts and methods are not comprehensive and the accuracy and detection speed need to be improved. Therefore, a more practical and comprehensive technology is developed in this paper. The main contributions are as follows: (1) A steel plate surface defect detection technology based on small datasets is proposed, which can detect multiple surface defects and fill in the blank of scab defect detection. (2) A detection system based on intelligent recognition technology is built. The steel plate images are collected by the front-end monitoring device, then transmitted to the back-end monitoring center and processed by the embedded intelligent algorithms. (3) In order to reduce the impact of external light on the image, an improved MSR enhancement algorithm based on adaptive weight calculation is proposed, which lays the foundation for subsequent object segmentation and feature extraction. (4) According to the different factors such as the cause and shape, the texture and shape features are combined to classify different defects on the steel plate surface. The defect classification model is constructed and the classification results are recorded and stored, which has certain application value in the field of steel plate surface defect detection. (5) The practicability and effectiveness of the proposed method are verified by comparison with other methods, and the field running tests are conducted based on the equipment commissioning field of China Heavy Machinery Institute.

The purpose of this paper is to use the Macau gaming industry as a case study to discuss the multifaceted relationships involving experiential quality, experiential relationship quality and future experiential intentions.

In this study, 566 usable responses were collected from casino gamblers who had gaming experience in one casino of Macau.

According to the study results, the dimensions of experiential quality (hedonics, involvement, surprise, fun, gambler contact and physical environment) had a positive effect on experiential satisfaction, which in turn led to experiential trust. Both experiential trust and experiential satisfaction positively influenced experiential commitment. Moreover, experiential trust, experiential satisfaction and experiential commitment positively affected future experiential intentions.

The main contribution of this research is that it has added to the body of knowledge about the interplay between the dimensions of experiential quality, the dimension of experiential relationship quality and future experiential intentions, which can be fruitful for the gaming industry.

−本文以澳门博彩业为例, 探讨了体验质量、体验关系质量与未来体验意向间的多层面关系。

−在此项研究中, 我们收集了566名在澳门一家赌场已有赌博经历的顾客。

−研究结果表明, 体验质量的维度(享乐、参与、惊喜、乐趣、赌徒接触和实体环境) 对体验满意度有正向影响, 进而导致体验信任。体验信任和体验满意度对体验承诺有正向影响。体验信任、体验满意度和体验承诺对未来体验意向均有正向影响。

−本研究的主要贡献在于, 它增加了体验质量维度、体验关系质量维度与未来体验意向之间相互作用的知识, 这对博彩是富有成效的。

− En este estudio, se obtuvieron 566 respuestas válidas de jugadores de casino que habían tenido experiencia en juegos en un casino de Macao.

− Este documento presenta a través de un estudio de caso la industria de los juegos de Macao con el objetivo de discutir las relaciones multifacéticas que involucran calidad experiencial, calidad de relación experiencial y futuras intenciones experienciales.

− Según los resultados del estudio, las dimensiones de la calidad de la experiencia (hedónica, participación, sorpresa, diversión, contacto con el jugador y entorno físico) tuvieron un efecto positivo en la satisfacción de la experiencia, lo que a su vez condujo a la confianza en la experiencia. Tanto la confianza experiencial como la satisfacción experiencial influyeron positivamente en el compromiso experiencial. Además, la confianza experiencial, la satisfacción experiencial y el compromiso experiencial afectaron positivamente a las futuras intenciones experienciales.

− La principal contribución de esta investigación es que se ha agregado al cuerpo de conocimiento sobre la interacción entre las dimensiones de la calidad experiencial, la dimensión de la calidad de la relación experiencial y las intenciones experimentales futuras, que pueden ser fructíferas para la industria del juego.

The purpose of this study is to examine the structural relationships between the dimensions of virtual reality (VR) experiences (immersion, interaction, usability and illusion), the dimensions of VR attachment (VR dependence, VR identity, VR affect and VR familiarity) and the dimensions of VR experiential outcomes (VR experiential satisfaction, VR experiential loyalty and VR experiential advocacy).

A total of 490 visitors who tried 360 VR travel video games in the TripMoment VR were surveyed.

In this study, there are positive relationships between VR experiential satisfaction and immersion, interaction, illusion, as well as VR identity, VR affect and VR familiarity. In addition, VR experiential satisfaction has a positive relationship with VR experiential loyalty. In addition, VR experiential advocacy has a positive relationship with both VR experiential satisfaction and VR experiential loyalty.

The results show that tourism operators should focus on increasing VR experiential satisfaction and experiential loyalty to enable visitors to have intentions to advocate their VR experiences.

This paper provides the data that lead to a better understanding of the relationship between the dimensions of VR experiences, VR attachment and VR experiential outcomes in the tourism industry.

本研究目的是在检验虚拟实境体验维度(沉浸、交互作用、可用性与幻觉),虚拟实境依附维度(虚拟实境依赖、虚拟实境认同、虚拟实境影响与虚拟实境熟悉度)和虚拟实境体验结果维度 (虚拟实境体验满意度、虚拟实境体验忠诚度与虚拟实境体验主张)之间的结构关系。

在时刻旅行中, 共受访490名游客尝试了360度虚拟实境旅游视频游戏。发现 – 在本次研究中, 虚拟实境体验满意度与沉浸、交互作用、幻觉与虚拟实境认同、虚拟实境影响与和虚拟实境熟悉度均存在正向关系。而且, 虚拟实境体验满意度对虚拟实境体验忠诚度有正向影响。此外, 虚拟实境体验主张对虚拟实境体验满意度与虚拟实境体验忠诚度两者均有正向影响。

结果显示, 为了能使游客有意愿宣传自己的虚拟实境体验, 旅游经营者应该将焦点放在提升虚拟实境体验满意度与虚拟实境体验忠诚度。

本文提供的数据有助于更好地理解旅游行业虚拟实境体验, 虚拟实境依附与虚拟实境体验结果维度之间的关系

El objetivo de este estudio es examinar las relaciones estructurales entre las dimensiones que afectan a la VR: las experiencias (inmersión, interacción, usabilidad e ilusión), las dimensiones del apego (dependencia de VR, identidad de VR, afecto de VR y familiaridad de VR) y las dimensiones de los resultados experimentales (satisfacción experiencial de realidad virtual, lealtad experiencial de realidad virtual y defensa experiencial de realidad virtual).

Se encuestó a un total de 490 visitantes, que probaron los videojuegos de viaje de 360 VR en TripMoment VR.

En este estudio, demuestra la existencia de relaciones positivas entre la satisfacción experimental de la realidad virtual y la inmersión, la interacción, la ilusión, así como la identidad de la realidad virtual, el efecto de la realidad virtual y la familiaridad de la realidad virtual. Además, la satisfacción experiencial, tiene una relación positiva con la lealtad experiencial, en la realidad virtual. Además, la defensa de la experiencia de VR tiene una relación positiva tanto con la satisfacción de la experiencia de VR como con la lealtad de la experiencia de VR.

Los resultados muestran que los operadores turísticos deberían centrarse en aumentar la satisfacción y la lealtad experiencial de la realidad virtual, para permitir que los visitantes tengan intenciones de defender sus experiencias en los contextos de la misma.

Este trabajo proporciona datos, que conducen a una mejor comprensión de la relación entre las dimensiones de las experiencias de realidad virtual, el apego a la realidad virtual y los resultados experimentales en la industria del turismo.

The purpose of this paper is to use a multi-level model as a framework to examine the relationships among experiential quality, green emotional attachment, green image, green switching experience, green experiential satisfaction and green experiential loyalty for the green restaurant industry.

The data used in this study were based on a sample of 515 customers at a green restaurant in Taipei City of Taiwan. Data were analyzed using structural equation modeling and hierarchical regression analysis.

The findings identify that interaction quality, peer-to-peer quality, physical environment quality, outcome quality, enjoyment quality and management quality influence experiential quality, which in turn results in green emotional attachment and green image respectively. Experiential quality, green image and green switching experience influence green experiential satisfaction, which in turn results in green emotional attachment. Green loyalty is influenced by green emotional attachment, green image, green experiential satisfaction and green switching experience. Green image moderates the relationships between experiential quality, physical environment quality and outcome quality.

To increase experiential quality and green emotional attachment, enhance green image, green experiential satisfaction and green loyalty and decrease green switching experience, the study findings will help green restaurant management develop and implement market-orientated service strategies.

This is the first study to investigate the effects of experiential quality, green emotional attachment, green image, green switching experience and green experiential satisfaction on green experiential loyalty in a green restaurant setting.

This paper aims to explore the role of workplace democracy in generating psychological capital, which is an inevitable paradigm for the contemporary organizations. The study also provides a conceptual framework which connotes the nexus between the two constructs.

The study is qualitative in nature and uses content analysis to identify the determinants of workplace democracy and psychological capital. Furthermore, the study used SPSS macro, i.e. PROCESS, a computational tool for calculating inter-coder reliability by using KALPHA, i.e. Krippendorff’s alpha reliability estimate (Hayes, 2013; Krippendorff, 2011).

The present study adds to the literature by signaling the dire need for building democratic workplaces and offers significant insights for the management and human resource practitioners to cultivate workplace democracy to build their employees’ psychological strengths, which in turn will result in enhanced organizational outcomes.

The present study brings attention toward the necessity for a shift in the generic organizational strategies and instigate organizations to nurture a democratic setup for developing employees’ psychological capital.

Housing energy consumption is a significant contributor to climate change. Encouraging the adoption of energy-efficient products can be an effective way to reduce energy consumption. The impacts of social influences, such as peer effects and social norms, on energy efficiency adoptions were identified; however, these social influences are not quantified and compared with each other or with other influences. This study aims to investigate the choice of energy-efficient product adoption with different costs and how different social influences affect the choice through different processes and paths.

Two stated choice experiments were employed in Wuhan, China, to examine the impact of social influences on energy-efficient product adoption in low-cost and high-cost scenarios. Appliance packages (including fridges and washing machines) and heating and cooling systems were used for the two cost scenarios, respectively. The social influences are evaluated in three aspects: positive versus negative information, physical versus online social networks and peer effects versus social norms.

The study revealed how various factors, including social influences, impact energy-efficient product choices. Research results show that: (1) social influences have greater and wider impacts in the low-cost scenario than in the high-cost scenario; (2) negative information decreases the adoption of low-cost energy-efficient products, while positive information boosts high-cost energy-efficient product adoption and (3) people value the information provided by those they know personally and are more influenced by physical social networks.

This study contributes to a better understanding of social influence in energy-efficient product adoption with different costs. This study provides a comprehensive framework to investigate social influences comparing the impact of different processes, paths and types of information. The findings can also provide practical implications for policymakers to accelerate the energy transition in the built environment.

The purpose of this study is to investigate whether the corporate environmental, social and governance (ESG) performance of enterprise is influenced by the enterprise digital transformation. In addition, this study explains how enterprise digital transformation affects ESG performance.

The sample covers 4,646 nonfinancial companies listed on China’s A-share market from 2009 to 2021. The study adopts the fixed-effects multiple linear regression to perform the data analysis.

The study finds that enterprise digital transformation has a significant inverted U-shaped impact on ESG performance. Moderate digital transformation can improve enterprise ESG performance, whereas excessive digital transformation will bring new organizational conflicts and increase enterprise costs, which is detrimental to ESG performance. This inverted U-shaped effect is more pronounced in industrial cities, manufacturing industries and enterprises with less financing constraints and executives with financial backgrounds. Enterprise digital transformation mainly affects ESG performance by affecting the level of internal information communication and disclosure, the level of internal control and the principal-agent cost.

The government should take multiple measures to encourage enterprises to choose appropriate digital transformation based on their own production behaviors and development strategies, encourage them to innovate and upgrade their organizational management and development models in conjunction with digital transformation and guide them to use digital technology to improve ESG performance.

This study shows that irrational digital transformation cannot effectively improve the ESG performance of enterprises and promote the sustainable development of the country. Enterprises should carry out reasonable digital transformation according to their own development needs and finally improve the green and sustainable development ability of enterprises and promote the sustainable development of society.

This study examines the relationship between enterprise digital transformation and ESG performance. Different from the linear relationship between the two in previous major studies, this study proves the inverse U-shaped relationship between enterprise digital transformation and ESG performance through mathematical theoretical model derivation and empirical test. This study also explores in detail how corporate digital transformation affects ESG performance, as well as discusses heterogeneity at the city, industry and firm levels. It is proposed that enterprises should take into account their own characteristics and carry out reasonable digital transformation according to their development needs.