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The purpose of this paper is to propose a similarity-based approach to accurately retrieve reference solutions for the intelligent handling of online complaints.

This approach uses a case-based reasoning framework and firstly formalizes existing online complaints and their solutions, new online complaints, and complaint products, problems and content as source cases, target cases and distinctive features of each case, respectively. Then the process of using existing word-level, sense-level and text-level measures to assess the similarities between complaint products, problems and contents is explained. Based on these similarities, a measure with high accuracy in assessing the overall similarity between cases is designed. The effectiveness of the approach is evaluated by numerical and empirical experiments.

The evaluation results show that a measure simultaneously considering the features of similarity at word, sense and text levels can obtain higher accuracy than those measures that consider only one level feature of similarity; and that the designed measure is more accurate than all of its linear combinations.

The approach offers a feasible way to reduce manual intervention in online complaint handling. Complaint products, problems and content should be synthetically considered when handling an online complaint. The designed procedure of the measure with high accuracy can be applied in other applications that consider multiple similarity features or linguistic levels.

A method for linearly combining the similarities at all linguistic levels to accurately assess the overall similarities between online complaint cases is presented. This method is experimentally verified to be helpful to improve the accuracy of online complaint case retrieval. This is the first study that considers the accuracy of the similarity measures for online complaint case retrieval.

Docking technology plays a crucial role in enabling long-duration operations of autonomous underwater vehicles (AUVs). Visual positioning solutions alone are susceptible to abnormal drift values due to the challenging underwater optical imaging environment. When an AUV approaches the docking station, the absolute positioning method fails if the AUV captures an insufficient number of tracers. This study aims to to provide a more stable absolute position visual positioning method for underwater terminal visual docking.

This paper presents a six-degree-of-freedom positioning method for AUV terminal visual docking, which uses lights and triangle codes. The authors use an extended Kalman filter to fuse the visual calculation results with inertial measurement unit data. Moreover, this paper proposes a triangle code recognition and positioning algorithm.

The authors conducted a simulation experiment to compare the underwater positioning performance of triangle codes, AprilTag and Aruco. The results demonstrate that the implemented triangular code reduces the running time by over 70% compared to the other two codes, and also exhibits a longer recognition distance in turbid environments. Subsequent experiments were carried out in Qingjiang Lake, Hubei Province, China, which further confirmed the effectiveness of the proposed positioning algorithm.

This fusion approach effectively mitigates abnormal drift errors stemming from visual positioning and cumulative errors resulting from inertial navigation. The authors also propose a triangle code recognition and positioning algorithm as a supplementary approach to overcome the limitations of tracer light positioning beacons.

In this paper, we introduce the concept of a supporting set for a general system. We study basic properties of supporting sets for a general system, supporting sets for subsytems of a system, homomorphic images of supporting sets for a system, and supporting sets for free sums and direct sums of systems.

This study aims to investigate how different menu types trigger diners’ behavioral intentions in restaurants’ innovation diffusion from paper to digital menus.

Four menu types, namely, paper menus with text only, paper menus with text and images, digital menus that show text and images or text and video with self-service technological functionality, are designed to empirically examine a mental process through which perceived information quality, perceived food quality and perceived service quality influence diners’ behavioral intentions.

Based on the online survey data from 502 diners, results show that the menu design influences customers’ perceptions. The video-based digital menu is the most effective to generate diners’ behavioral intentions, followed by a paper menu with text and images.

This study contributes to the innovation diffusion theory and stimulus-organism-responses theory to encourage the joint use of auditory and visual channels for digital menu design in restaurants.

The authors confirm the digital transformation in menu design in restaurants. Restaurant diners are also prepared and comfortable with digital menus, especially in the postpandemic world.

本研究目的在于调查在餐厅从纸质菜单到数字菜单的创新扩散过程中, 不同菜单类型如何影响餐厅客人的行为意向。

通过设计并使用四种菜单类型, 分别为只有文本的纸质菜单、具有文本和图片的纸质菜单、显示文本和图片或文本和视频的数字菜单以及具有自助技术功能的数字菜单, 本研究以实证方法考察了感知信息质量、感知食品质量和感知服务质量如何影响餐厅客人的行为意向的心理过程。

根据对502名餐厅客人的在线调查数据显示, 菜单设计影响了客人的感知。基于视频的数字菜单是影响餐厅客人行为意向最有效的菜单类型, 其次是文本和图片的纸质菜单。

本研究表明应鼓励在餐厅数字菜单设计中同时使用听觉和视觉元素。因此, 为研究促进了创新扩散理论和刺激-有机体-反应理论的发展。

我们证实了数字菜单在餐厅菜单设计中的转型。餐厅客人, 尤其是在在后疫情时代, 已经准备好并愿意接受使用数字菜单。

TED (Technology, Entertainment, Design, www.ted.com/) Talks has been one of the most popular video systems. However, the current TED Talks system expressed its inquired videos as in a two-dimensional (2D) table, which is inconvenient for searching the relationships among videos and tags. This study converts the TED Talks table into a sphere by using optimization techniques to help users search for preferred videos.

There are five phases in this study as follows. Phase 1: Reorganize data of 36 tags and 108 videos; Phase 2: Allocate tags on the TED sphere; Phase 3: Allocate videos on the TED sphere; Phase 4: Develop an online interactive TED retrieval system; and Phase 5: Perform survey and evaluation.

One survey demonstrated that the TED Talks sphere is more convenient for searching videos, as it is more user-friendly because of its graphical user interface, more convenient to use, more useful for retrieving information and can facilitate a more responsive search for users’ preferred videos.

The numbers of tags and videos able to be displayed on a sphere is limited by the capacity of an optimization software and hardware.

The proposed sphere system can be used by a large number of users of TED Talks groups.

This sphere systems can also be applied to other fields which use 2D forms to display the relationships among objects.

This study uses an optimization method to convert a 2D form into a 3D sphere to highlight the relationships among numerous objects.

This study aims to investigate the development of Airbnb in China from the perspective of hospitality leaders by identifying the positive and negative effects of Airbnb development in the country.

A qualitative approach was adopted to explore the current development of sharing accommodation service in China. Focus group discussions were conducted with the managers and top executives of hotels in China.

Most of the participants affirmed that the experience of local culture and authenticity are the advantages of staying in this type of informal accommodation. From the viewpoint of hoteliers, traditional accommodation is necessary to rethink their strategies by providing authentic experiences. By contrast, Airbnb service may not seamlessly fit into Chinese culture. The result also indicated that there is a need for government to regulate the informal accommodation platforms.

This study provides views towards Airbnb from the traditional accommodation sector in Mainland China, which can contribute to the future regulation of informal accommodation services.

Chinese market is the leading sector in tourism industry. With the popularity of Airbnb development around the world, Airbnb is still in a developing stage in Mainland China. This study is based on 45 hoteliers and industry professionals in China, who share their views on Airbnb development and how it should move forward. The findings of this study shed light on the informal accommodation service and its future directions in China.

爱彼迎在中国的未来：酒店业领导者的行业观点

这项研究旨在从酒店业领导者的角度调查Airbnb在中国的发展, 以确定Airbnb在中国发展的正面和负面影响。

本文采用定性方法来探索中国共享住宿服务的当前发展。研究组与中国酒店的经理和高层管理人员进行了焦点小组讨论。

大多数参与者表示, 当地文化和真实性的体验是住在Airbnb这种非正式住宿中的优势。从酒店经营者的角度来看, 传统的住宿业需要重新考虑他们的经营策略, 为顾客提供真实的体验。相比之下, Airbnb的服务可能无法无缝融入中国文化。结果还表明, 政府需要规范非正式的住宿平台。

该研究提供了中国内地传统住宿业对Airbnb的看法, 这有助于未来对非正式住宿服务的监管。

中国市场是旅游业的主导市场。Airbnb在世界范围内不断普及, 而它在中国内地市场仍处于发展阶段。参与研究的45位中国酒店业者和行业专业人士, 分享了对Airbnb开发的看法以及其之后的发展方向。这项研究的结果阐明了非正式住宿服务在中国的未来发展方向。

El futuro de Airbnb en China: perspectiva de la industria desde el punto de vista de líderes hoteleros

Este estudio tiene como objetivo investigar el desarrollo de Airbnb en China desde la perspectiva de líderes hoteleros, mediante la identificación de los efectos positivos y negativos del desarrollo de Airbnb en el país.

Se adoptó un enfoque cualitativo para explorar el desarrollo actual del servicio de alojamiento colaborativo en China. Se llevaron a cabo discusiones de grupos focales con los gerentes y altos ejecutivos de hoteles en China.

La mayoría de los participantes afirmaron que la experiencia de la cultura local y la autenticidad, son las ventajas de alojarse en este tipo de “alojamiento informal”. Desde el punto de vista de los hoteleros, es necesario que el alojamiento tradicional, repiense sus estrategias proporcionando experiencias auténticas. Por el contrario, el servicio de Airbnb puede no encajar perfectamente en la cultura China. El resultado, también indicó que es necesario que el gobierno regule las “plataformas informales” de alojamiento.

El estudio proporciona puntos de vista hacia Airbnb desde el sector de alojamiento tradicional en China continental, que puede contribuir a la futura regulación de los servicios de “alojamiento informal”.

El mercado chino es el sector líder en la industria del turismo. Con la popularidad del desarrollo de Airbnb en todo el mundo, Airbnb aún se encuentra en una etapa de desarrollo en China continental. Este estudio se basa en 45 hoteleros y profesionales de la industria en China al compartir sus puntos de vista sobre el desarrollo de Airbnb y cómo debería avanzar. Los resultados de este estudio arrojan luz sobre el servicio de “alojamiento informal” y sus futuras direcciones en China.

The purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.

Sample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.

Synthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.

Particularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

The objective of this study is to investigate the factors of two sub-processes – knowledge donating and knowledge collecting – of knowledge sharing in Hong Kong higher education context. This study examines the individual factors, organizational factors and technology factor of knowledge sharing. Individual factors include enjoyment in helping others and knowledge self-efficacy while organizational factors refer to the top management support, organizational rewards and organizational culture. The use of technology system is proposed to be the technology factor.

Based on the literature review, this study develops a structural model representing the impact of six latent variables on knowledge donating and knowledge collecting processes Data from a questionnaire survey of 166 respondents from academics from Hong Kong higher education sector was used to analyze the model. PLS-SEM was adopted in this study.

The result of the data analysis suggests enjoyment in helping others has a positive impact on both knowledge donating and knowledge collecting. For organizational factors, a trust and collaborative culture enhance both the sub-processes. The technology factor only contributes to the knowledge donating process. Several practical implications are provided to high education leaders, for instance, by establishing a trust and collaborative environment, academics are more eager to donate and collect knowledge.

This paper provides insights for researchers to further understand how individual, organizational and technology factors affect two sub-processes of knowledge sharing. On the practical side, this study validated several critical factors to successful knowledge donation and knowledge collection.

The Journal of Intellectual Capital (JIC) celebrated its 20th anniversary in 2020. Therefore, the present study aims to provide a general overview of the history and key trends in this journal during 2000–2019.

Two types of citation and textual data during a 20-year journal period were retrieved from the Scopus database. The citation structures and contents were explored based on a combination of bibliometric analysis, altmetric analysis and text mining. The journal themes and trends of their changes were analyzed through citation bursts, mapping and topic modeling. To make a better comparison, the text mining process for the topic modeling of the IC field was performed in addition to the topic modeling of JIC.

Bibliometric analysis indicated that JIC has experienced a remarkable growth in terms of the number of publications and citations over the last 20 years. The results indicated that JIC plays a significant role among IC researchers. Additionally, a large number of researchers, institutes and countries have made contributions to this journal and cited its research papers. Altmetric analysis showed that JIC has been shared in different social media such as Twitter, Facebook, Wikipedia, Mendeley, Citeulike, news and blogs. Text mining abstract of JIC articles indicated that “measurement,” “financial performance” and “IC reporting” have the relative prevalence with increasing trends over the past 20 years. In addition, “research trends” and “national and international studies” had a stable trend with low thematic share.

The findings have important implications for the JIC editorial team in order to make informed decisions about the further development of JIC as well as for IC researchers and practitioners to make more valuable contributions to the journal.

Using bibliometric analysis, altmetric analysis and text mining, this study provided a systematic and comprehensive analysis of JIC. The simultaneous use of these methods provides an interesting, unique and suitable capacity to analyze the journals by considering their various aspects.

The COVID-19 pandemic has caused the food delivery sector to boom as people continue to rely on services provided by online catering platforms (OCPs). However, because of the nature of sharing economy employment, gig workers’ contributions went largely ignored until intervention from institutional governance. This study aims to explore the impacts of labor market transformation after the Chinese Government issued guidance to promote gig workers’ welfare as a focal case.

Focus groups and the Delphi technique were used to explore associated impacts on OCPs and gig workers based on governance theory.

Results show that institutional governance negatively affected OCPs’ operating cost structure but sustained gig workers’ welfare. The dual effects of market mechanism and institutional governance in the sharing economy are needed to be balanced for labor market transformation.

Long-term equilibrium can be fulfilled, given the growing food-related demand for the market mechanism. Social reciprocity is expected to be realized through institutional governance for gig workers’ welfare.

This study suggests that moving from market governance to stakeholder governance, as mediated by state governance, could transform gig workers’ labor structure in the gig economy. This study presents an integrated governance theory to enhance the epistemology of institutional governance.