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This study aims to explore US hotel guests’ privacy concerns with a twofold aim as follows: to investigate the privacy categories, themes and attributes most commonly discussed by guests in their reviews and to examine the influence of cultural proximity on privacy concerns.

This study combined automated text analytics with content analysis. The database consisted of 68,000 hotel reviews written by US guests lodged in different types of hotels in five European cities. Linguistic Inquiry Word Count, Leximancer and SPSS software were used for data analysis. Automated text analytics and a validated privacy dictionary were used to investigate the reviews by exploring the categories, themes and attributes of privacy concerns. Content analysis was used to analyze the narratives and select representative snippets.

The findings revealed various categories, themes and concepts related to privacy concerns. The two most commonly discussed categories were privacy restriction and outcome state. The main themes discussed in association with privacy were “room,” “hotel,” “breakfast” and several concepts within each of these themes were identified. Furthermore, US guests showed the lowest levels of privacy concerns when staying at American hotel chains as opposed to non-American chains or independent hotels, highlighting the role of cultural proximity in privacy concerns.

Hotel managers can benefit from the results by improving their understanding of hotel and service attributes mostly associated with privacy concerns. Specific suggestions are provided to hoteliers on how to increase guests’ privacy and on how to manage issues related to cultural distance with guests.

This study contributes to the hospitality literature by investigating a neglected issue: on-site hotel guests’ privacy concerns. Using an unobtrusive method of data collection and text analytics, this study offers valuable insights into the categories of privacy, the most recurrent themes in hotel guests’ reviews and the potential relationship between cultural proximity and privacy concerns.

The growth of online communities and social media has led to a growing need for methods, concepts, and tools for researching online cultures. Particular attention should be paid to polarizing online discussion cultures and dynamics that increase inequality in online environments. Social media has enormous potential to create good, but in order to unlock its full potential, we also need to examine the mechanisms keeping these spaces monotonous, homogenous, and even hostile toward some groups. With this need in mind, I have developed the concept and theory of othering online discourse (OOD).

This chapter introduces and defines the concept of OOD and explains the key characteristics and different attributes of OOD in relation to other concepts that deal with disruptive and discriminatory behavior in online spaces. The attributes of OOD are demonstrated drawing on examples gathered from the Finnish Suomi24 (Finland24) forum.

This paper aims to distil the management challenge pertaining to B2B SME branding strategy, communication and constraint in the emerging market context of Chinese manufacturing.

Complemented by 19 interviews, this paper adopted a novel methodological approach – netnographic analysis – to investigate a selection of Chinese manufacturing SMEs.

Findings revealed three managerial approaches to B2B brand management: conservative, flexible and integrated-exploratory.

Understanding the three approaches offers managerial implications for Chinese manufacturer SMEs to redesign their branding practice. Informed with a better understanding of the available option, they will be able to achieve high value-added production through branding to gain competitiveness. This study sheds light on B2B SME branding from an emerging market perspective, an area that has been largely neglected in the existing literature.

Findings make a novel contribution to B2B SME brand management literature by clarifying practical management issues pertinent to Chinese emerging market manufacturers in particular, and offering widely generalizable lessons for B2B brand management research.

Understanding customers is critical for service researchers and practitioners. Today, customers are increasingly active online, and valuable information about their opinions, experiences and behaviors can be retrieved from a variety of online platforms. Online customer information creates new opportunities to design personalized and high-quality service. This paper aims to review how netnography as a method can help service researchers and practitioners to better use such data.

A systematic review and analysis were conducted on 321 netnography studies published in marketing journals between 1997 and 2017.

The systematic review reveals that netnography has been applied in a variety of ways across different marketing fields and topics. Based on the analysis of existing netnography literature, empirical, theoretical and methodological recommendations for future netnographic service research are presented.

This paper shows how netnography can offer service researchers unprecedented opportunities to access naturalistic online data about customers and, hence, why it is an important method for future service research.

Netnographic research can help service firms with, for example, service innovation, advertising and environmental scanning. This paper provides guidelines for service managers who want to use netnography as a market research tool.

Netnography has seen limited use in service research despite many promising applications in this field. This paper is the first to encourage and support service researchers in their use of the method and aims to stimulate interesting future netnographic service research.

The purpose of this paper is to conduct research with children, who have different abilities from adults, in terms of language understanding and level of attention, is a challenging task, especially concerning novel interactive systems such as social robots. Consequently, self-reporting methods are often replaced or supplemented by observational methods that are usually carried out taking advantage of video recordings. However, some limitations make this approach challenging for studies conducted with groups of children in real-world environments, whose relevance is being addressed more and more frequently in human-robot interaction (HRI) research. Thus, there is a growing need for rigorous observation approaches in unstructured test environments.

This paper presents an alternative analysis approach, in relation to an experimental child-robot interaction (CRI) application, which was developed at the Academy of Arts and Design, Tsinghua University, China. The proposed methodology is based on the analysis of video recordings of in-wild activities of children with a robot. The methodology has the aim of providing a framework to facilitate knowledge identification and structuring. It was implemented for experiment evaluation and validation purposes and to propose a reference structure for the organization of new experiments and the stimulation of new ideas and activities in the design process.

This methodology provides a logical structure, which can be used to identify the effectiveness or limits of design choices, pertaining to such aspects as the morphology or movement of robots or the choice of their specific role in education, all of which play crucial roles in the design process and could be improved to achieve better results. This structured identification is a practical implication for the design process, above all when it is oriented toward social robots and their interaction with children or elderly senile people. In this case, the outcomes were the identification of important elements of an experiment (psychological profiles of the involved children and possible problems or risks) and their impact on the design process.

The methodological approach, which structures and uses cognitive maps to elaborate multicriteria evaluation models, is not new to the operations research field (where it is defined as a multimethodology application of Soft OR), but it has not yet been applied in the field of HRI studies, to analyze children’s perception of a robot and to identify the factors that can affect a good CRI or to structure knowledge that can be shared to guide the design process of robots for the experience of children playing.

This study investigates whether colors red or blue in financial disclosure documents (Key Investor Information Documents – KIIDs) affect attention distribution toward the visual stimulus and the perception of financial attractiveness of the products.

In order to observe and measure financial consumers' visual attention, the unobtrusive methodology of eye-tracking is used on a sample of nonprofessional investors, applying an ecological protocol, through a cross-sectional design.

Financial information processing and visual attention distribution are influenced by the color of the KIID document, as red seems to attract attention, proxied by gazing behavior, more than blue. Red color, compared to blue, is also observed to push investors to rate the products as less financially attractive, especially when the product Risk Reward Profile is high.

The findings highlight the role of the basic visual properties of documents conveying financial information, prompting to investigate the unconscious and automatic mechanisms of individual's attention and its influence on decision making.

Using the eye-tracking tool, this study bridges neuroscience, color research, marketing and finance and provides new knowledge on the underlying neural mechanisms of financial consumers' behavior.

This viewpoint paper aims to explore the past, present and future of travel visas granting permission to travel. Visa restrictions are used by governments as an efficient method of restricting access in advance of travel. This paper explores how this may change in the future resulting in a shift of power from tourist to destination.

The Futures Triangle method was used to create a scenario incorporating the three dimensions of the triangle, i.e. the pulls of the future, the pushes of the present and the weights of the past. An artefact of the future was created to help visualise this future.

This analysis suggests that the role of visas may change in the future such that visa regimes may become part of a destination strategy. A future scenario is postulated in which destinations demand proof of fit with the destination strategy before granting a visa.

This viewpoint paper develops an artefact of the future based on the changing role of travel visas. It suggests that tourists might need to market themselves to the destination, proving that they are a good destination fit, before they are granted a visa to travel.

Today’s software engineers often work in teams to develop complex software systems. Therefore, successful software engineering in practice require team members to possess not only sound programming skills such as analysis, design, coding and testing but also soft skills such as communication, collaboration and self-management. However, existing examination-based assessments are often inadequate for quantifying students’ soft skill development. The purpose of this paper is to explore alternative ways for assessing software engineering students’ skills through a data-driven approach.

In this paper, the exploratory data analysis approach is adopted. Leveraging the proposed online agile project management tool – Human-centred Agile Software Engineering (HASE), a study was conducted involving 21 Scrum teams consisting of over 100 undergraduate software engineering students in multi-week coursework projects in 2014.

During this study, students performed close to 170,000 software engineering activities logged by HASE. By analysing the collected activity trajectory data set, the authors demonstrate the potential for this new research direction to enable software engineering educators to have a quantifiable way of understanding their students’ skill development, and take a proactive approach in helping them improve their programming and soft skills.

To the best of the authors’ knowledge, there has yet to be published previous studies using software engineering activity data to assess software engineers’ skills.

Technical solutions can be important when key communicators take on the task of making sense of social media flows during crises. However, to provide situation awareness during high-stress assignments, usability problems must be identified and corrected. In usability studies, where researchers investigate the user-friendliness of a product, several types of data gathering methods can be combined. Methods may include subjective (surveys and observations) and psychophysiological (e.g. skin conductance and eye tracking) data collection. This chapter mainly focuses on how the latter type can provide detailed clues about user-friendliness. Results from two studies are summarised. The tool tested is intended to help communicators and journalists with monitoring and handling social media content during times of crises.

This paper aims to provide a systematic review of literature pertaining to how executive behavioral characteristics relate to financial reporting decisions.

The authors review 44 papers published between 2001 and 2021 in top journals that are nested in leading business, economic and accounting journals.

Through the systematic review, the authors provide a framework for the emergence of narcissism and how it relates to decision making and hence, firm performance. Additionally, this paper identifies different measures of measuring narcissism with their pros and cons and suggest that different measures lead to different outcomes in prior literature.

The study contributes to a growing stream of research on executives' attributes influence on decision making. The authors recommend that future research may focus more on the chief financial officer (CFO) role as the majority of literature in CEO based. Additionally, the authors suggest that different settings may moderate the outcomes, and the authors propose that future research may be conducted to show how the regulatory environment affects or moderates narcissism effect.