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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 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.

The purpose of this paper is to: first, divide external knowledge into different levels and understand how these different levels of external knowledge create different knowledge networks. Second, explore the relation among different levels of external knowledge, different types of knowledge and their influences on innovation. Different types of knowledge may act as mediators between different levels of external knowledge and innovation performance are also discussed. Third, further explicate the possible reasons behind the phenomena observed in the first and second objectives.

The quantitative and qualitative research methods were adopted in this study. In terms of the quantitative research method, data were collected from 157 information and communications technology (ICT) companies in Zhangjiang. There were 38 interviews carried out using the qualitative research method. Interviewees included 26 directors from the Zhangjiang ICT chip companies and 12 directors from China’s domestic mobile phone manufacturing sector.

This study finds out that the source of external knowledge in the Zhangjiang Hi-Tech Park is mostly derived from cross-regional and cross-national connections. Through the connection with global companies, the firms in Zhangjiang acquire technical knowledge. Also, through the interaction with cross-regional companies, the firms in Zhangjiang absorb market knowledge. The results of this study indicate that the cross-regional connections are spurred by the increasing demand of the Chinese domestic market and the government’s support for cross-regional interactions. Cross-national connections are encouraged and led by the Chinese Government after China’s 3G communication standard is adopted.

This study is built upon a case study in Zhangjiang of China. The findings of this study may not be applicable to other countries or regions in China. Also, this study only focusses on the ICT industry in Zhangjiang. Knowledge from different industries is not included in this study. In addition, the formal and informal knowledge flow is neglected in this study as well.

The findings of this study provide business executives and policymakers with a new way of thinking about the development of industrial clusters and local firms. Firms may be able to find new ways to raise innovation performance using different external knowledge.

The major contribution of this study is an initial attempt to provide a comprehensive analysis of external knowledge of industrial clusters, different types of knowledge and their influences on innovation performance. Moreover, the mediating effects of different types of knowledge are also discussed.

External knowledge should not be limited in one zone or level. Researchers have paid more attention to the perspective of multilevel cluster networks. However, little research has empirically studied the various dimensions of external knowledge. The purpose of this paper is to study different levels of external knowledge, their relation with trade and non-trade interdependence and their relation with different kinds of innovations, namely, exploitation and exploration.

Both quantitative and qualitative research methods were adopted in this study. In terms of the quantitative research method, data were collected from 168 companies in the Shenzhen Hi-Tech Industrial Park of China using convenience sampling. As for the qualitative research method, a total of 35 interviews were carried out in this study.

The quantitative results indicate that different levels of external knowledge in the Shenzhen Hi-Tech Park have different effects. First of all, the results indicate that cross-national connections have a positive influence on trade interdependence, which helps firms to produce exploration. Second, cross-regional connections have a positive influence on both trade and non-trade interdependence, which further help firms to create innovative exploitation and exploration. Third, inter-regional connections have a positive influence on non-trade interdependence, which helps firms to increase innovative exploitation. The qualitative result makes a plausible explanation for the quantitative results. The interview results indicate that as the telecommunications industry has so much to do with China’s national security, there are several initiatives of market protection strategies and political interventions, which help firms to form different levels of knowledge flow in Shenzhen.

There are several limitations of this study which primarily relate to the case study method. The results can be contextually generalized to the domestic-oriented cluster in developing countries.

This study has several managerial implications. First, this research ensures that it is important to consider the multilevel nature of external knowledge before starting with the decision-making process of a firm in a cluster. Second, all levels of administrators and managers in a company should investigate what kinds of involvement and innovation are needed and most highly valued for organizational development. Third, the research framework of this study can be applied to understand which level of external knowledge influences organizational performance.

This study is an initial attempt to provide an examination of external knowledge, organizational involvement and innovation performance of an industrial cluster via a mixed method.

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 highlight the significance of relationship quality factors (customer satisfaction, e‐trust, and e‐commitment) on positive word of mouth (WOM) in online retailing.

The relative importance of site characteristics in online retailing on customer satisfaction was examined and the relationship among customer satisfaction, trust, and commitment in offline was identified. This paper then proposes a conceptual model of the relationship among site characteristics, relationship quality, and WOM in online retailing. AMOS 5.0 was used to test for the hypothesized relationships.

All of site characteristics in online retailing have a positive influence on customer satisfaction. Communication of site characteristics has a positive effect on customer satisfaction more than the other factors (shopping convenience, site design, informativeness, and security). Customer satisfaction affects positively e‐commitment more than it does e‐trust. E‐commitment affects positively WOM more than it does e‐trust. This paper identifies the causal relationship among site characteristics, relationship quality, and WOM. Further, the relative importance of customer satisfaction in relationship quality of online retailing is examined.

Results provide important insights into the impact of site characteristics in online retailing on customer satisfaction compared to other previous researches. In addition, e‐trust and e‐commitment are identified as important antecedents of e‐WOM.

The purpose of this paper is to analyze the influences of relational variables on export performance and the interactions among relational variables in the emerging market context of Malaysia.

The study used a mail questionnaire sent to Malaysian companies that export to Arab-speaking countries and achieved a response rate of 27.92 percent, resulting in a sample of 106 exporters.

The results of the path analyses indicate a positive impact of relational variables (adaptation, cooperation and communication) on export performance. However, the authors found that the impact was mediated by trust and commitment, rather than being direct.

The findings suggest that the impact of relational variables on export performance is complex and indirect. Mediators and moderators play important roles in this relationship.

Firms should invest in export relationships with the aim of building trust and commitment, which are the primary factors that affect export performance.

The authors have shed light on the way relational variables affect export performance. Moreover, this study contributes to a better understanding of small emerging markets, which are poorly represented in studies in this field.