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This study aims to examine the multisensory experiences of participating in a cooking class and how they shape perceptions of destinations in the pre-trip stage. Performance theory and prosumption provide a theoretical lens to investigate how a cooking class influences the pre-trip destination sensescape.

This study used participatory action research consisting of an immersive Tatarstan cooking class experience with the supporting materials of music and videos, focus group discussions and participant observations.

Cooking class participants prosume local culture and (re)construct the perceptions of Tatarstan by partaking in cooking classes through a multisensory experience. The pre-trip destination sensescape formation in the cooking class is dynamic, stimulating and memorable. With active engagement in co-creating in the process, such experience significantly strengthens and reshapes the perceptions of a destination.

Cooking classes can be leveraged in pre-trip marketing as a tool to enhance the competitiveness of tourism destinations and contribute to accessible tourism, such as engaging visually impaired tourists’ other heightened senses in experience design and marketing.

This study revealed that participation in cooking classes involves active, embodied and multisensory engagement, which acts as a vehicle of the destination perception change.

With the rapid development and implementation of cutting-edge information technologies in tourism and hospitality, it is necessary to update the progress of technology use in the past 18 years and set up research agenda for future research. By adopting information systems (IS) as a reference discipline, this paper aims to create a literature review of technology and tourism papers around the theme of use.

Following the systematic literature review process of Aguinis et al. (2018), 314 papers were downloaded to determine how they applied the concept of technology use.

Three themes about technology use emerged: types of processing, organisational use and users. Among various types of technology processing, interactive and online are largely addressed in the tourism and hospitality literature. The organisational use theme explores how the competitive and strategic use of technology provides management support for organisations. There was a large amount of research focussed on direct users, such as individual characteristics, user attitudes and user behaviour. The theories of technology acceptance model and unified theory of acceptance and use of technology have been widely applied in these studies.

This paper provides a review of key issues which has been discussed in tourism research in relation to technology use. By applying the scheme developed in the IS discipline, this study provides new insights into the development of technology in tourism. In addition, it also gives us the opportunity to suggest a research agenda by identifying research gaps and future research collaboration opportunities between these two fields.

随着尖端科技在旅游和酒店业中的快速发展和应用, 我们有必要审视过去18年中科技使用的进程, 并且为未来研究确立方向。采用信息系统（IS）作为参考标杆, 本论文旨在建立围绕科技使用和旅游业的文献综述体系。

本论文采用系统文献综述法（Aguinis et al., 2018）, 共314篇文章被审阅, 以确立科技使用概念如何被研究应用。

三种有关科技使用的主题被确立：处理类型、组织使用、用户。在各种科技处理类型中, 互动性和线上的方式在大多数旅游酒店文献中被研究。组织使用主题开拓了科技的有利和策略的使用如何为组织提供管理支持。文献有很大一部分集中研究在直接用户身上, 比如用户个人特点、用户态度、用户行为。TAM和UTAUT理论在这些研究文献上被广泛使用。

本论文评论了旅游酒店业中科技使用的几个关键方面。通过借用IS领域开发的模型, 本论文对旅游业中技术开发提供新视角。此外, 本论文还指出文献缺口和未来合作机遇, 开启研究领域新篇章。

处理、用户、组织、信息系统、旅游业、技术使用

纸张类型 - 文献综述

This paper aims to provide an action-orientated reflection for promoting gender equality in hospitality, based on Bradley’s (2013) approach that considers the operation of gender in the “production” and “reproduction” spheres of social life. To that end, it reflects on women’s career development in hospitality based on the Western perspective.

A two-stage thematic analysis of a public research seminar on gender issues in tourism and hospitality were used to explore issues of women’s career development within the intertwining spheres of “production” and “reproduction”.

Three themes, namely, culture of an open dialogue, bringing men into the equation and educating the future workforce, emerged from data to propose new insights on “what can be done” about gender equality in tourism and hospitality, including practical suggestions for transformations of gender relations in organisations.

This paper contributes new knowledge on women’s career development in the hospitality industry by proposing recommendations to address gender gaps including fostering a culture of an open dialogue based on an inclusive listening environment, recommending changes to organisational policies and culture and integrating the subject of gender into tourism and hospitality curriculum.

By proposing a sociological perspective of gender in hospitality employment informed by Bradley (2013), this study challenges the traditional masculinity and the long-standing gender labour division through education, organisational and daily practices thus tackling fundamental gender issues.

Research into older adults' use of social media remains limited. Driven by increasing digitalisation in China, the authors focus on Chinese older adults (aged 60–75)’ use of WeChat.

This study used a qualitative interpretive approach and interviewed Chinese older adults to uncover their social practices of WeChat use in everyday life.

By using social practice theory (SPT), the paper unfolds Chinese older adults' social practices of WeChat use in everyday life and reveals how they adopt and resist the drastic changes in Chinese society.

The study contributes to new understandings of SPT from technology use by emphasising the dynamic characteristics of its three elements. The authors synthesise both adoptions and resistance in SPT and highlight the importance of understanding three elements interdependently within specific contexts, which are conditioned by structure and agency.

This research aims to explore generation (Gen) Z's personal branding on social media when job seeking.

Gen Z students, in their final year of university, were interviewed about personal branding, as well as recruiters and career advisors to gain insights into the recruitment process and expectations of online personal brands. Before interviewing, Gen Z students' LinkedIn profiles were examined, and then fed into the interview process.

Using impression management theory, the findings show that Gen Z perceive online personal brands as a crucial tool to gain more advantage in job markets. A gap was found between desired and perceived selves in Gen Z's online personal brands. Strategies such as effective self-reflection, authentic communication, self-promotion processes, awareness of risks and constantly controlling digital footprints were suggested to build stronger and more coherent personal brands. Gen Z are in favour of a more dynamic, interactive, work-in-process of authentic personal brands.

This research demonstrates the importance of authentically building online personal branding strategies and tactics to bridge the divide between Gen Z's desired and perceived images in personal branding on social media when job seeking.

Automatic optical inspection (AOI) systems have been widely used in many fields to evaluate the qualities of products at the end of the production line. The purpose of this paper is to propose a local-to-global ensemble learning method for the AOI system based on to inspect integrated circuit (IC) solder joints defects.

In the proposed method, the locally statistically modeling stage and the globally ensemble learning stage are involved to tackle the inspection problem. At the former stage, the improved visual background extraction–based algorithm is used for locally statistically modeling to grasp tiny appearance differences between the IC solder joints to achieve potential defect images for the subsequent stage. At the latter stage, mean unqualified probability is introduced based on a novel ensemble learning, in which an adaptive weighted strategy is proposed for revealing different contributions of the base classifier to the inspection performance.

Experimental results demonstrate that the proposed method achieves better inspection performance with an acceptable inspection time compared with some state-of-the-art methods.

The approach is a promising method for IC solder joint inspection, which can simultaneously grasp the local characteristics of IC solder joints and reveal inherently global relationships between IC solder joints.

In this paper the authors aim to argue that the existence of a strong corporate governance mechanism (a formal credibility-enhancing mechanism) and the presence of a more trustworthy-looking CEO (an informal credibility-enhancing mechanism) are substitutes.

By using machine-learning-based facial-feature-point detection technique, the authors construct a proprietary facial-trustworthiness database for a large-scale of CEOs in the US listed companies. First, the authors manually search for qualifying CEO image from websites and annual reports. Second, by following the neuroscience and psychology literature, the authors use the machine-learning-based face detector to identify the facial features in the CEO photos to calculate a rich and reliable set of facial-trustworthiness measures. The authors then construct a composite facial-trustworthiness index for each CEO. After obtaining accounting data, the authors’ final sample comprises 16,201 firm-year observations for 3,186 CEOs in the sample period of 2000-2018.

The results of the authors’ regression analyses show a negative association between board monitoring intensity and CEOs' facial trustworthiness, indicating that board directors may factor CEOs' facial trustworthiness into their monitoring decisions. Moreover, the authors find that these results are mainly driven by CEOs whose tenure is below the third quartile (i.e. eight years). The authors further find stronger results for externally hired CEOs than internally promoted CEOs. Finally, the authors’ results remain robust when using change models or subsample of CEO photos in recent years.

First, to the best of the authors’ knowledge, this is the first study that adopts a large sample to provide systematic evidence on the directors' use of facial trustworthiness. This study extends the literature by documenting the impacts of CEOs' individual characteristics on the board monitoring intensity. Second, the results of this study emphasized the important role of perceptions based on executives' facial appearance in firm valuation, executive compensation and audit fee, and by presenting empirical evidence that CEOs' facial trustworthiness affects board monitoring intensity. Third, this study responds to the call for research on personalized trust by Hsieh et al. (2020).

The authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational identification and the moderating effect of leaders on the role expectation of knowledge employees as an essential innovation subject.

The authors employed a mixed-method research approach. The authors collected data from 378 knowledge employees and managers in 20 companies in China's Yangtze River Delta cities. The authors analyzed data using multiple regression analysis forecasting methods.

The authors found that there was an inverted U-shaped relationship between empowering leadership and the innovation performance of knowledge employees; organizational identity played a partial mediating role between empowering leadership and the innovation performance of knowledge employees; role expectation of leaders on the innovation behavior of employees regulated the relationship between the organizational identity and innovation performance of knowledge employees.

This study extends the literature on empowering leadership and innovation performance. This study empirically examines the mediating effect of organizational identity between empowering leadership and innovation performance. In addition, this study empirically examines how empowered leaders' expected innovation level moderates the association between organizational identity and innovation performance.

This paper presents the application of grey modeling for thermal spray processing parameter analysis in less data environment.

Based on processing knowledge, key processing parameters of thermal spray process are analyzed and preselected. Then, linear and non-linear grey modeling models are integrated to mine the relationships between different processing parameters.

Model A reveals the linear correlation between the HVOF process parameters and the characterization of particle in-flight with average relative errors of 9.230 percent and 5.483 percent for velocity and temperature.

The prediction accuracies of coatings properties vary, which means that there exists more complex non-linear relationship between the identified input parameters and coating results, or more unexpected factors (e.g. factors from material side) should be further investigated.

According to the modeling case in this paper, method has potential to deal with other diverse modeling problems in different industrial applications where challenge to collecting large quantity of data sets exists.

It is the first time to apply grey modeling for thermal spray processing where complicated relationships among processing parameters exist. The modeling results show reasonable results to experiment and existing processing knowledge.