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This study aims to demonstrate the application of computer-aided text analysis (CATA) software in identifying primary associations and impressions of a specified tourist destination.

The Leximancer software is applied on primary information to analyze the concepts evoked by a destination. Because no specific planning has been done for destination image marketing strategies for rural tourism in Andalusia, this study visualizes and determines clusters of the main attributes associated with this destination.

The analysis identifies the main clusters among associations and impressions of the destination that can be useful in developing strategies.

Only a target segment is studied, with a relatively small sample size.

Leximancer can not only be applied to online user-generated content, but primary information can also be mapped to generate a holistic destination image. Furthermore, identification of the relevant attributes and impressions can serve to identify unique assets to help tourism organizations develop a destination.

Several implications concerning destination marketing are outlined.

Although previous studies have applied Leximancer and other CATA software, the present research uses a new approach. Deriving the primary information on destination image using an unstructured methodology, the concepts evoked by a destination are mapped. Because there is a lack of research on rural tourism in Andalusia and its destination image, its associated attributes are studied.

本论文展示如何使用CATA分析软件来确定一个具体旅游目的地的主要关系和印象。

Leximancer软件主要用于分析一个目的地引发的相关概念。因为安达卢西亚至今未有确定的乡村旅游目的地形象营销策略, 本论文视觉化和决定与此目的地相关的主要因素群。

研究结果指出了此安达卢西亚目的地的主要相关群和印象群, 这些对于指定战略计划有很大帮助。

本论文只研究了单一市场群, 分析样本量较小。

Leximancer不仅可以用来分析用户生成内容, 还可以分析主要信息, 以展示整体旅游目的地形象。此外, 分析指出的相关因素和印象群可以用来确立独特的资源组合, 帮助旅游机构开发旅游目的地。

本论文结构指出了多个旅游目的地营销的相关启示

尽管文献中有关Leximancer和其他CATA软件的使用文章, 本论文创立了新的使用方法。基于对旅游目的地形象的主要信息进行非结构性研究, 本论文对于旅游目的地的概念进行展开论述。由于至今未有针对安达卢西亚的乡村旅游研究以及旅游目的地形象研究, 本研究论述了其相关因素。

关键词 安达卢西亚、旅游目的地形象、旅游目的地因素、CATA软件、Leximancer

The COVID-19 pandemic has resulted in significant changes in tourists’ attitudes and behaviors mostly as a result of confinement-related problems. Although various studies have been conducted to analyze customers’ perceptions of service quality and satisfaction using a drop-off/pick-up method, the influence of COVID-19 on customers’ perceptions of service quality and satisfaction has not been examined using online reviews. It is critical to evaluate satisfaction aspects from user-generated content to ascertain their preferences for hotel services during the pandemic. This research aims to explore the viewpoint shared online by hotel tourists, as well as identify which service practice is associated with higher and lower satisfaction during the COVID-19 pandemic.

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.

Sustainable tourism is becoming more popular all over the world. Eco-friendly (green) hotels are properties that are friendly to the environment and are becoming increasingly popular among green travellers. Electronic word-of-mouth is a technique of communicating with consumers in order to share their experiences, and it is a significant marketing tool for hotels. This paper aims to identify the main themes shared in online reviews by tourists visiting eco-friendly hotels, and which of these themes were associated with satisfaction and dissatisfaction ratings.

The research used qualitative content analyses to analyse 1,202 user-generated content of the top 10 hotels in UK shared by guests on an online platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are “hotel amenities”, “services”, “location”, “staff”, “eco” (eco-friendly activities), “value” and “recommend/revisit” (intentions). Negative comments are associated with the “bathroom”, “mattress”, “water”, “bed”, “price”, “shower”, “Wi-Fi” and “restaurant” concepts.

This study differs from previous research in which it aims to address a void in the literature on the shortcomings of research focused on finding the dominant themes expressed in online reviews by tourists visiting eco-friendly hotels, and it does so using data mining approach.

Previous research acknowledges the importance of stakeholders for destination branding. However, there is a lack of studies examining which specific online user discourses are triggered by stakeholder responses to destination brand communication. To address this gap, the purpose of this study is to analyze online user discourses initiated by stakeholder’s reactions to a destination image video and thus enhance knowledge on brand communication and management.

The authors investigated 2,187 online comments to 19 medial stakeholder reactions to a destination management organization (DMO) image video both by running a manual as well as a software-based content analysis. The explorative empirical study identifies seven major categories reflecting online user discourses triggered by stakeholder reactions to destination brand communication.

The explorative study indicates that stakeholder reactions to destination brand communication trigger online comments evolving within both the inner and outer tourism system. The discourse subjects, in turn, reflect both user-generated content of brand cocreation and brand codestruction. The findings expand literature in that previous studies on brand cocreation mainly refer to service encounters.

By identifying which online user discourses are triggered by stakeholder reactions to DMO brand communication, the authors provide managerial implications. Specifically, the authors suggest guidelines for all stages of destination communication campaigns to support online user discourses reflecting brand value cocreation and preventing brand value codestruction.

The study responds to a lack of research on online user discourses initiated by stakeholder reactions to DMO brand communication. Contrary to previous studies, the authors identify specific online user discourses relating not only to the inner but also to the outer tourism interest system. Revealed discourses, in turn, reflect brand cocreation and brand codestruction.

先前的研究确认了利益相关者对于目的地品牌塑造的重要性。然而, 目前缺乏研究探讨利益相关者对目的地品牌传播的反应, 会引发哪些特定的线上使用者论述。针对这个缺口, 本研究分析由利益相关者对目的地形象影片的反应所引发的线上使用者论述, 进而增进品牌传播与管理的知识。

作者通过手动和软件内容分析, 调查了 2,187 条在线评论, 涉及 19 个媒体利益相关者对目的地管理组织形象视频的反应。这项探索性实证研究确定了七个主要类别, 反映了利益相关者对目的地品牌传播的反应所引发的在线用户讨论。

本探索性研究表明, 利益相关者对目的地品牌传播的反应, 引发了在旅游系统内部和外部演变的在线评论。话语主体反过来反映了用户生成的品牌共创和品牌共建内容。 以往关于品牌共创的研究主要涉及服务接触, 而我们的研究结果拓展了这一研究领域。

通过确定利益相关者对目的地管理组织品牌传播的反应引发的在线用户话语, 我们提供了管理方面的启示。具体来说, 我们为目的地传播活动的各个阶段提出了指导方针, 以支持反映品牌价值共创和防止品牌价值共毁的在线用户话语。

我们的研究回应了由利益相关者对目的地管理组织品牌传播的反应所引发的线上使用者论述研究的缺乏。与先前的研究相反, 我们发现特定的线上使用者论述不仅与内部旅游利益体系有关, 也与其外部有关。所揭示的论述反过来反映了品牌共创和品牌共建。

Investigaciones anteriores reconocen la importancia de las partes interesadas en la creación de marcas de destino. Sin embargo, faltan estudios que examinen si los discursos específicos de los usuarios en línea son desencadenados por las respuestas de las partes interesadas a la comunicación de la marca de destino. Para colmar esta laguna, el presente estudio analiza los discursos de los usuarios en línea iniciados por las reacciones de los grupos de interés a un vídeo de imagen de un destino, mejorando con esto los conocimientos sobre comunicación y gestión de marcas.

Los autores investigan 2.187 comentarios en línea a 19 reacciones de grupos de interés mediáticos a un vídeo de la imagen de una OMD mediante un análisis de contenido tanto manual como basado en software. El estudio empírico explorativo identifica siete categorías principales que reflejan los discursos de los usuarios en línea desencadenados por las reacciones de las partes interesadas a la comunicación de la marca de destino.

El estudio exploratorio indica que las reacciones de las partes interesadas a la comunicación de la marca del destino desencadenan comentarios en línea que evolucionan dentro del sistema turístico interno y externo. A su vez, los temas del discurso reflejan tanto el contenido generado por los usuarios como la cocreación y la codestrucción de la marca. Nuestros hallazgos amplían la literatura en el sentido de que los estudios anteriores sobre cocreación de marcas se refieren principalmente a encuentros de servicios.

Al identificar qué discursos en línea de los usuarios desencadenan las reacciones de las partes interesadas a la comunicación de marca de los OMD, aportamos implicaciones para la gestión. En concreto, sugerimos directrices para todas las fases de las campañas de comunicación de los destinos, con el fin de apoyar los discursos en línea de los usuarios que reflejan la cocreación del valor de la marca y evitar la codestrucción de dicho valor.

Nuestro estudio responde a la falta de investigación sobre los discursos en línea de los usuarios iniciados por las reacciones de las partes interesadas a la comunicación de marca de las OMD. A diferencia de estudios anteriores, identificamos discursos específicos de usuarios en línea relacionados no sólo con el sistema de intereses turísticos interno, sino también con el externo. Los discursos revelados reflejan a su vez la cocreación y la codestrucción de la marca.

The purpose of this paper is to propose new directions for human resource management (HRM) research by drawing attention to online data as a complementary data source to traditional quantitative and qualitative data, and introducing network text analysis as a method for large quantities of textual material.

The paper first presents the added value and potential challenges of utilising online data in HRM research, and then proposes a four-step process for analysing online data with network text analysis.

Online data represent a naturally occuring source of real-time behavioural data that do not suffer from researcher intervention or hindsight bias. The authors argue that as such, this type of data provides a promising yet currently largely untapped empirical context for HRM research that is particularly suited for examining discourses and behavioural and social patterns over time.

While online data hold promise for many novel research questions, it is less appropriate for research questions that seek to establish causality between variables. When using online data, particular attention must be paid to ethical considerations, as well as the validity and representativeness of the sample.

The authors introduce online data and network text analysis as a new avenue for HRM research, with potential to address novel research questions at micro-, meso- and macro-levels of analysis.

This paper aims to explore the themes and nature of sentiment of Twitter content that discussed the Australian bushfire disaster 2019–2020 and its associated wildlife devastation, with considerations for the future of Australia’s tourism industry.

A large, qualitative data set consisting of all publicly available Twitter posts during the period of the Australian bushfires from December 2019 to March 2020 that mentioned the bushfires and wildlife are explored.

The devastation of wildlife through the Australian bushfire disaster elicited emotionally charged Twitter content from both Australian and overseas users. Positive sentiment focused on offering support to areas impacted by wildlife devastation. Negative sentiment concentrated on linking the Australian bushfires disaster to global discussions surrounding the climate emergency, and a perceived lack of political action.

Despite the intensity of media attention directed towards the Australian bushfires disaster 2019–2020, there has been little scholarly research exploring social media content specifically focused on the wildlife devastation and its association with, and implications for, the tourism industry.

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.

A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.

The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.

The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

Career preparedness is critical to successfully transitioning from college to a full-time work environment. Being prepared means students have the technical and non-technical skills to help an organization meet its strategic goals. In many instances, students lack the requisite career competencies and collaborative skills. This study proposes designing an instructor-led, career-driven quasi-virtual internship to address this issue and improve students’ preparedness and teamwork.

Our research integrates and expands the four-step processes outlined in instructional and course redesign theories, including analysis, design and development, implementation and evaluation. In the evaluation phase, a survey is used to collect data, and natural language processing is applied to identify the emerging themes. The sample included 104 undergraduate students enrolled in an information systems degree program, which resulted in a digital corpus of 40,744 words for analysis.

Results indicate that the implementation of instructor-led quasi-virtual internships offered a comprehensive career experience comparable to an onsite or virtual company-sponsored internship in five notable areas: (1) application of technical knowledge, (2) critical thinking, (3) time management, (4) application of IT project management and (5) collaborative skills.

Our study only evaluated participants in our treatment group. Future research should examine the differences between students who complete sponsored versus instructor-led quasi-virtual internships. Researchers can add a control group of students who receive a theoretically based capstone course. Future research can simulate randomized controlled trials (RCT) (Chalmers et al., 1981) to measure the effectiveness of quasi-virtual internships. A benefit of this research is that an open-ended survey allows for collecting rich, multifaceted primary data. The second limitation is that the study included only single-item questions. Future authors can create and validate a survey instrument based on the themes and concepts emanating from our investigation. For example, they can operationalize team dynamics and career preparedness using a reflective model in which the underlying construct drives the indicators, requiring multiple items to examine each construct (Coltman et al., 2008). Third, the sample size in the study was relatively small. We can increase the sample size using a time-series dataset with multiple measurement periods. The fourth limitation is context; this study was conducted at a public university; other institutions may have varied teaching approaches, student demographics and resources. By expanding our study using a multi-site approach (Ballantyne et al., 2012), we can increase cross-sectional sample sizes and improve the generalizability of the study’s results.

This study provides several practical insights for educators by examining quasi-virtual internships. Academic institutions that want to offer internships but struggle to establish industry partners can implement the quasi-internship model as an alternative approach. The study highlights that students gain critical insight into their future careers during these internships by being familiar with industry concepts and tools. We also provide insights into engaging students in “meaningful collaboration.” We suggest the instructor provide some time during the class sessions for group work to improve coordination and introduce industry-level tools that provide a more applied approach to IS education.

The National Survey of College Internships (NSCI) 2021 indicates that underrepresented and first-generation students were less likely to participate in internships. Our research may positively impact diverse communities since the quasi-virtual internship allows all students to participate once they are enrolled in a capstone class.

To our knowledge, this study is the first to utilize latent semantic analysis to analyze students’ feedback to improve course design, career preparedness and team dynamics.

The aim of this study is to review the literature on how intellectual capital (IC) contributes to the decarbonization efforts of firms. It explores how carbon accounting can measure the components of IC in decarbonization efforts to balance profitability with environmental and social goals, particularly in promoting decent work and economic growth (Sustainable Development Goal [SDG] 8 and its targets [2, 5, 6, 8]). Moreover, it emphasises the importance of multi-stakeholder partnerships for sharing knowledge, expertise, technology, and financial resources (SDG17-Target 17.G) to meet SDG8.

As a consolidated methodological approach, a systematic literature review (SLR) was used in this study to fill the existing research gaps in sustainability accounting. To consolidate and clarify scholarly research on IC towards decarbonization, 149 English articles published in the Scopus database and Google Scholar between 1990 and 2024 were reviewed.

The results highlight that the current research does not sufficiently cover the intersection of carbon accounting and IC in the analysis of decarbonization practices. Stakeholders and regulatory bodies are increasingly pressuring firms to implement development-focused policies in line with SDG8 and its targets, requiring the integration of IC and its measures in decarbonization processes, supported by SDG17-Target 17.G. This integration is useful for creating business models that balance profitability and social and environmental responsibilities.

The integration of social dimension to design sustainable business models for emission reduction and provide a decent work environment by focusing on SDG17-Target 17.G has rarely been investigated in terms of theory and practice. Through carbon accounting, IC can be a key source of SDG8-Targets 8.[2, 5, 6, 8] and SDG17-Target 17.G. Historically, these major issues are not easily aligned with accounting research or decarbonization processes.