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Asynchronous online discussion forums play an important role in adult online courses, and have many possible functions. Our experience in using the discussion forums in online courses for task-based collaborative discussion has led us to many questions about the optimal ways of using online discussion to support collaborative learning, such as how should instructors structure online discussions in a way that it promotes collaborative learning? What should instructors do to enhance learners' reflective thinking, critical thinking, or problem solving in online collaborative discussions? The challenges of using forum in learning have also been highlighted by many researchers. In this paper, we present a so-called “smart” discussion forum to support, monitor and facilitate task-based collaboration for the learning process of adult learners to advance their development of critical thinking.

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.

This case study aims to investigate the forces and barriers to learners’ motivation in a blended learning environment. This study uses an online forum as a vehicle for useful interaction among learners and as an extension of traditional classroom face-to-face meetings. 48 first-year students in a UAE university participated in this study. A series of data were obtained through questionnaires and feedback from the students, which were subsequently analyzed and compared to the existing literature. The results revealed that online interaction can enhance learners’ motivation and engagement in the learning process.

The authors constructed an automatic essay scoring (AES) model in a discussion forum where the result was compared with scores given by human evaluators. This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the highest vector embedding. Combining these models is used to optimize the model with increasing accuracy.

The development of the model in the study is divided into seven stages: (1) data collection, (2) pre-processing data, (3) selected pre-trained SentenceTransformers model, (4) semantic similarity (sentence pair), (5) keyword similarity, (6) calculate final score and (7) evaluating model.

The multilingual paraphrase-multilingual-MiniLM-L12-v2 and distilbert-base-multilingual-cased-v1 models got the highest scores from comparisons of 11 pre-trained multilingual models of SentenceTransformers with Indonesian data (Dhini and Girsang, 2023). Both multilingual models were adopted in this study. A combination of two parameters is obtained by comparing the response of the keyword extraction responses with the rubric keywords. Based on the experimental results, proposing a combination can increase the evaluation results by 0.2.

This study uses discussion forum data from the general biology course in online learning at the open university for the 2020.2 and 2021.2 semesters. Forum discussion ratings are still manual. In this survey, the authors created a model that automatically calculates the value of discussion forums, which are essays based on the lecturer's answers moreover rubrics.

This study operationalizes risks in stakeholder dialog (SD). It conceptualizes SD as co-produced organizational discourse and examines the capacities of organizers' and stakeholders' practices to create a shared understanding of an organization’s risks to their mutual benefit. The meetings and online forum of a German public service media (PSM) organization were used as a case study.

The authors applied corpus-driven linguistic discourse analysis (topic modeling) to analyze citizens' (n = 2,452) forum posts (n = 14,744). Conversation analysis was used to examine video-recorded online meetings.

Organizers suspended actors' reciprocity in meetings. In the forums, topics emerged autonomously. Citizens' articulation of their identities was more diverse than the categories the organizer provided, and organizers did not respond to the autonomous emergence of contextualizations of citizens' perceptions of PSM performance in relation to their identities. The results suggest that risks arise from interactionally achieved occasions that prevent reasoned agreement and from actors' practices, which constituted autonomous discursive formations of topics and identities in the forums.

This study disentangles actors' practices, mutuality orientation and risk enactment during SD. It advances the methodological knowledge of strategic communication research on SD, utilizing social constructivist research methods to examine the contingencies of organization-stakeholder interaction in SD.

This paper studies the interactive valuation discourses of an online user community (transfermarkt.de) that seeks to determine market values for soccer players. Despite their seemingly casual nature, these values have featured in newspapers, transfer negotiations, academic research, and capital market communication – and have thus become reified.

The paper employs netnographic research methodology to collect and thematically analyze a wide range of user entries on the platform. These entries are studied using theoretical insights from the sociology of quantification and valuation.

The analysis reveals how values are constructed in constant interaction between value-proposing users and value-justifying “experts.” This dynamic form of relational valuation positions players relative to one another as well as to actual transactions on the transfer market. In the absence of authoritative guidelines, it is this possibility and affordance for interaction that enacts a coherent valuation regime. The paper further reveals the platform's response to a disruptive event, which risked bringing the user-expert dynamics to a halt, requiring intervention from the platform to repair its valuation frame.

The paper responds to increased scholarly interests in the valuation of professional athletes. It contributes to the extant literature on valuation, first, by analyzing the dynamic valuation work that feeds into the social construction of values and, second, by studying platform participation and user interaction in a socially engineered online space.

This study aims to present a guide for using grounded theory methods for exploring organizational phenomena of the new online era.

A reflexive account is adopted on how one can build upon the foundations of traditional offline grounded theory for conducting grounded theorizing with online-based data.

Guidelines for conducting grounded theory on online contexts are presented for crafting research questions, gathering online data and using consolidated methods for analyzing online data. This study shows future and present challenges posed by the new online era for grounded theorizing, as well as helpful lessons to be learned from traditional offline grounded theory to mitigate them.

The implications are helpful for established qualitative organizational scholars that are yet to catch-up in the boundary spanning process of using the digital sources of data in grounded theory. They are equally helpful for newcomers on qualitative grounded theory by guiding them on where and how to start these challenging research endeavors of grounded theorizing in this new online era.

Scant attention has been given on applications of grounded theory in the new online era. The differences between online and offline settings have not been clearly defined to this date, and neither do guidelines exist for how qualitative grounded theorists can take advantage of online data to build theory about new organizational phenomena emerging in the online era.

The popularity of social networks has created business opportunities to the electronic commerce environment, being recently named as social commerce. The purpose of this paper is to analyze – from the perspective of the consumer – the main factors and characteristics (personal or related to the products bought) that have influenced consumers to participate in social commerce buying, recommending, comparing and sharing information about products and services in online marketplace and communities.

The study is characterized as an exploratory descriptive research, operationalized through a survey, applied to 229 participants of the social network Facebook. The research involves a qualitative stage for identifying potential variables that influence the participation of consumers in social commerce, followed by a quantitative one, including data collection procedures, validation and data analysis.

The results show trust, perceived usefulness and information quality as the factors that most influence consumer participation in social commerce, being trust in the website the main predictor. Concerning the characteristics, the findings also show that more expensive products and products classified as computers and electronics use ratings, recommendations and comments online more intensively than books, travel, household appliances and fashion products.

As limitations of the study, the authors highlight the small number of interviews conducted during the qualitative stage, which may have left out other relevant factors of the analysis on consumers’ participation in social commerce. Another limitation refers to the selection of the participants of the study; all members of the social network Facebook are identified by the contact net of the authors – though it has been tried to enlarge this contact list by requesting the respondents to share the questionnaire link with their acquaintances, we should be cautious about the generalization of the results.

The study proposes an instrument to identify factors and characteristics that are taken into consideration by the consumers when participating in social commerce. Such a tool can be replicated by firms included in this type of commerce, in order to evaluate the behavior and perception of their customers about their performance in the online environment. This study also highlights trust, information quality and perceived usefulness of the website as the most influencing factors of the consumers’ participation in social commerce. In addition, the authors identified that more expensive products and products classified as computers and electronics seem to use more intensively ratings, recommendations and comments online provided by other people. This fact supports the research literature that (positive or negative) online recommendations influence the consumers purchase behavior, reducing uncertainties about the products and increasing credibility and trust.