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This paper aims to present a systematic review of tourism articles using qualitative online methods. By focussing on tourism journals, this work explores the paradigmatic beliefs, methodological approaches and methods underpinning tourism qualitative online research.

This review was conducted systematically by following the reporting checklist of the preferred reporting items for systematic reviews and meta-analyses by the Centre for Reviews and Dissemination.

Overall, this systematic review indicates that the ontological and epistemological beliefs guiding online research are not clearly expressed by tourism scholars. It also shows that the possibility of using the internet for more interactive and participatory forms of research has not been fully explored by tourism scholars.

This paper expands tourism scholars’ awareness of the range of qualitative approaches/methods available by suggesting additional research instruments that could replace or complement the traditional ones. However, by selecting only indexed journal papers, other sources of publications, such as papers published in non-Scopus and non-Web-of-Science journals, books, book chapters and conference papers, were not included in the current review.

This work emphasizes the important role of cyberspace in facilitating virtual interactions between researchers and participants in the co-construction of qualitative empirical material.

本文运用了互联网在线定性管理方法对旅游管理进行了具体及系统的评估。通过关注旅游期刊, 本文探索旅游在线定性管理的规范模式和方法研究。

本文依据评审和传播中心的系统鉴定标准（PRISMA）进行深入的分析和探索。

目前的旅游学术研究并未明确诠释或指导互联网对旅游管理的在线评估, 及其本体论和认知理念。利用互联网进行旅游评估的探索, 提升相关互动性和参与性都将成为旅游管理的潜在发展方向。

在现有定性管理方法的基础上, 本文提出可用于替代或补充传统研究方法的在线虚拟互动评估模式, 并开扩了学术界对旅游定性鉴定的新方法和认识。但是, 本文的研究主体仅为有索引的旅游学术期刊 （如：Scopus indexed journals）, 非索引的研究期刊和发表文献, 如书籍, 探讨会文稿都不包括在本文研究范围内。

本文构建了互联网在线定性管理的模式, 并强调了现代网络在促进管理研究人员和相关参与者之间虚拟互动中所扮演的重要角色

在线方法, 定性方法, 旅游, 自反 性, 互联网人种学

Este artículo presenta una revisión sistemática de artículos de turismo que emplean métodos cualitativos en línea. Al centrarse en las revistas de turismo, este trabajo explora las creencias paradigmáticas, los enfoques metodológicos y los métodos que sustentan la investigación cualitativa en línea del turismo.

Esta revisión se realizó de manera sistemática siguiendo la lista de verificación de informes de los Elementos de informes preferidos para revisiones sistemáticas y metaanálisis por el Centro de Revisiones y Difusión.

En general, esta revisión sistemática indica que los estudiosos del turismo no expresan claramente las creencias ontológicas y epistemológicas que guían la investigación en línea. También muestra que los académicos del turismo no han explorado completamente la posibilidad de utilizar internet para formas de investigación más interactivas y participativas.

Esta revisión amplía la conciencia de los académicos del turismo sobre la gama de enfoques/métodos cualitativos disponibles al sugerir instrumentos de investigación adicionales que podrían reemplazar o complementar los tradicionales. Sin embargo, al seleccionar solo artículos de revistas indexadas, otras fuentes de publicaciones, como artículos publicados en revistas que no son Scopus y que no son de la Web-of-Science, libros, capítulos de libros y documentos de conferencias no se incluyeron en la revisión actual.

Este trabajo enfatiza el importante papel del ciberespacio para facilitar las interacciones virtuales entre investigadores y participantes en la co-construcción de material empírico cualitativo.

Métodos en línea, Métodos cualitativos, Turismo, Reflexividad, Netnografía

The chapter will review significant changes in information technology (IT) affecting research over the 30-year history of Communication, Information Technology, and Media Sociology. It compares broad overviews of computers and the social sciences published shortly after the beginning of the section (1989 and 1990) with a contemporary overview of online research methods from 2017. It also draws on my own experiences from 1981 to the present as both an academic and a software entrepreneur. The author will discuss how changes in the section parallel developments in social science computing over this period, identifying some of the significant ways IT has transformed both the methods of research and the substantive foci of research. Finally, the author extrapolates into the future to consider how continuing changes in the Internet, big data, artificial intelligence, and natural language understanding may change how sociological research is conducted in the foreseeable future.

The purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations.

The study tests the proposed model using responses from 353 students who were exposed to the new method. Regression analysis was used to test the hypotheses.

The results show that both the perceived social (e.g. reduction in comparison bias) and utilitarian (e.g. presentation originality) benefits increase satisfaction with the online video presentation method, from both the creator's and the learner's perspectives.

This study provides several guidelines to instructors employing blended learning methods, as well as designers of platforms that enable blended learning.

This study provides a model to understand the determinants of learners' satisfaction with a new blended learning method. It looks at these determinants from both the content creators' perspective and the content viewer's perspective.

Employing ethnographic methods online offers additional understanding of how online contexts are connected to education (Rusk, 2019; Ståhl & Kaihovirta, 2019; Ståhl & Rusk, 2020). As society evolves, new challenges arise for ethnography to claim its position as a methodology for understanding human sociality. For example, the definition of fieldwork might become blurred when the researcher has constant access to the field from their computer, and accessing a participant's perspective is made more complex when there is no, or limited, face-to-face interaction with participants (Beaulieu, 2004; Shumar & Madison, 2013). This chapter discusses some of the challenges experienced during the process of employing ethnographic methods with students playing the online multiplayer video game Counter Strike: Global Offensive (CS:GO, Valve Corporation & Hidden Path Entertainment, 2012) within an educational context. The challenges included maintaining participant integrity in terms of gaining informed consent from players that became co-observed, defining privacy online during the analysis and in dissemination and portraying participants accurately despite stakeholder interests. These challenges are discussed in relation to maintaining research ethics in situ together with participants and with the research context in mind. The intention is not to portray our approach as best practice, but rather to highlight and discuss the challenges faced.

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.

The purpose of this study is to present a systematic review of the online service failure (OSF) literature and conduct an exhaustive analysis of academic research on this emerging research area.

The current study has adopted a structured systematic literature review approach to synthesize and assess the OSF literature. Further, the study uses the Theory-Context-Characteristics-Methodology (TCCM) framework to propose future research directions in the OSF domain.

This systematic review shows that OSF research is still developing and remains mainly incoherent. Further, the study develops a conceptual framework integrating the frequently reported antecedents, mediators, moderator and consequences in the extant literature. This review also synthesizes the theoretical perspectives adopted for this domain.

The study followed specific inclusion and exclusion criteria to shortlist articles. Further, articles published only in the English language were considered. Hence, the findings of this review cannot be generalized to all OSF literature.

This systematic review has classified antecedents into customers' and service providers' roles which will enable online service providers to understand all sets of factors driving OSF. It also synthesizes and presents service recovery strategies and emphasizes the role of online customer support to fix OSF.

The OSF literature is still developing and remains highly incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the OSF literature to study its development over time and proposes a framework which provides a comprehensive understanding of OSF.

This paper aims to take Chinese university teachers as the research objects to examine their self-evaluation of online teaching and analyze the main factors influencing their evaluation during COVID-19.

According to the theory of educational ecology, the factors influencing teachers' self-evaluation of online teaching in this paper include university background, courses background and teachers' personal background from the macro- to micro-levels. Through exploratory factor analysis, independent sample T-test and one-way analysis of variance (ANOVA), the self-evaluation of online teaching of 13,997 teachers from 334 universities and their relationship with teachers' background have been subject to data statistics and analysis.

Teachers' self-evaluation of online teaching mainly includes three dimensions: online teaching methods, online teacher–student interaction and online teaching techniques. There are significant differences in these three dimensions among teachers with different background characteristics, including regions, the types of universities, the nature of universities in macro background levels, the types and numbers of online courses in meso background levels, and the gender, years of teaching, professional titles and disciplines in micro background levels.

To improve teachers' self-evaluation of online teaching, it is suggested to build an online teaching self-evaluation system for teachers, strengthen university support and guarantee, strengthen online teaching training and improve the information accomplishments of teachers.

This large-scale empirical survey of online teaching evaluation of Chinese teachers can provide scholars with a deeper understanding of the implementation of online teaching in China and the self-evaluation of online teaching by teachers.

The growth of the Internet and other digital media has opened up exciting opportunities for the provision of public services, for business and for personal transactions. Comparisons between the earliest forms of “online” research, in the form of telephone interviewing, and offline data collection via face‐to‐face interviews or self‐completion questionnaires, revealed that the modality within which research was conducted could affect research findings. In examining the evidence, this paper indicates that the use of online methodologies has important implications for sampling, response rates, quality of data produced, and operational practices in research projects. Online research is restricted to individuals with access to relevant technologies (e.g. the Internet) and where online technology penetration is limited, survey samples are unlikely to represent the general population. Online surveys, however, can produce quicker response rates than offline surveys and also richer open‐ended responses. The important point is to recognise the strengths and weaknesses are associated with different methodologies and what differences can exist between online and offline data collection procedures.

The purpose of this paper is to explore the relationship between the actual usage of online methods for collaboration with customers and firms’ innovation performance. Drawing on theories of knowledge flows and knowledge creation, this study analyses the results of customer collaboration in the online mode in comparison to the offline mode.

The data for the econometric analysis comes from managers of 102 so-called “gazelles”, knowledge-intensive service firms that were characterized by exceptionally stable growth rates in Sweden during 2010 and 2011.

This study confirms the significance of information and communication technology (ICT)-supported collaboration with customers for a firm’s innovation performance. Interacting with customers using online methods has a positive effect on companies’ innovation output. Besides, knowledge-intensive service companies demonstrate more extensive though less intensive use of online channels for collaborating with customers compared to offline methods.

The data for this study has typical limitations resulting from the collection method of web-surveying. Future research should refine the findings of this study using various measures of firms’ innovation performance.

Firms should be more receptive towards online methods of collaboration with customers because using such strategy can increase their probability to introduce service innovations. The insights from this study are especially valuable for companies in knowledge-intensive service industries because the sample consist of companies that can be regarded as successful cases.

This study is one of the first that addresses the issue of the impact of collaborative technologies on innovation performance. The sample of steady-growing gazelle companies adds value to the results.