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The objective of this paper is to further the understanding of netnography as a research method for supply chain academics. Netnography is a method for gathering and gaining insight from industry-specific online communities. We prescribe that viewing netnography through the lens of the supply chain will permit researchers to explore, discover, understand, describe or report concepts or phenomena that have previously been studied via survey research or quantitative modeling.

To introduce netnography to supply chain research, we propose a framework to guide how netnography can be adopted and used. Definitions and directions are provided, highlighting some of the practices within netnographic research.

Netnography provides the researcher with another avenue to pursue answers to research questions, either alone or in conjunction with the dominant methods of survey research and quantitative modeling. It provides another tool in the researchers’ toolbox to engage practitioners in the field.

The development of netnography as a research method is associated with Robert Kozinets. He developed the method to study online communities in consumer behavior. We justify why this method can be applied to supply chain research, how to collect data and provide research examples of its use. This technique has room to grow as a supply chain research method.

Responding to the continuing separation of participants and researchers in LIS participatory research, a new methodology is proposed: action partnership research design (APRD). It is asserted that APRD can mitigate or remove the hierarchical structures often inherent in the research process, thus allowing for equal contribution from all.

Building on the bonded design (BD) methodology and informed by a scoping literature review conducted by the same authors, APRD is a human-centered research approach with the goal of empowering and valuing community partnerships. APRD originates from research investigating the use of participatory design methods to foster collaboration between two potentially disparate groups, firstly with adult researchers/designers and elementary school children, and secondly with university faculty and IT professionals.

To achieve this goal, in addition to BD techniques, APRD draws inspiration from elements of indigenous and decolonization research methodologies, particularly those with an emphasis on destabilizing power hierarchies and involving research participants as full partners.

APRD, which emerged from findings from previous participatory design studies, especially those of BD, is based on the premise of partnership, recognizing that each member of a design team, whether researcher or participant/user, has unique expertise to contribute. By considering participants/users as full research partners, APRD aims to flatten the hierarchies exhibited in some LIS participatory research methodologies, where participants are treated more like research subjects than partners.

This study aims to investigate the factors influencing the data sharing habits of psychologists with respect to academic reciprocity.

A research model was developed based on Ostrom’s (2003) theory of collective action to map psychologists’ underlying motivations for data sharing. The model was validated by data from a survey of 427 psychologists, primarily from the psychological sciences and related disciplines.

This study found that data sharing among psychologists is driven primarily by their perceptions of community benefits, academic reciprocity and the norms of data sharing. This study also found that academic reciprocity is significantly influenced by psychologists’ perceptions of community benefits, academic reputation and the norms of data sharing. Both academic reputation and academic reciprocity are affected by psychologists’ prior experiences with data reuse. Additionally, psychologists’ perceptions of community benefits and the norms of data sharing are significantly affected by the perception of their academic reputation.

This study suggests that Ostrom’s (2003) theory of collective action can provide a new theoretical lens in understanding psychologists’ data sharing behaviours.

This study suggests several practical implications for the design and promotion of data sharing in the research community of psychology.

To the best of the authors’ knowledge, this is one of the initial studies that applied the theory of collective action to the mechanisms of reputation, community benefits, norms and reciprocity in psychologists’ data sharing behaviour. This research demonstrates that perceived community benefits, academic reputation and the norms of data sharing can all encourage academic reciprocity, and psychologists’ perceptions of community benefits, academic reciprocity and data sharing norms all facilitate their data sharing intentions.

Enterprises build online product community to expect users to contribute: opinion sharing (content contribution) and product consumption (product contribution). Previous literature rarely focused on both. The purpose of this paper is to explain user contribution mechanism by identifying content contribution and product contribution.

This research chose Xiaomi-hosted online product community (bbs.xiaomi.cn) and Huawei-hosted online product community (club.huawei.com) where users can freely share ideas and buy products at the same time. Data were crawled from 109,665 community users to construct dependent variable measurement, and 611 questionnaires were used to verify research hypotheses.

The results indicate that both cognitive needs and personal integration needs have a significant positive impact on browse behavior; social integration needs and hedonic needs have a significant positive impact on content contribution behavior. Browse behavior not only directly affects but also indirectly influences product contribution through content contribution behavior.

Findings of this research provide community managers with useful insights into the relationship between content contribution and product contribution.

This study explains the formation mechanism of user product contribution and reveals the relationship between user content contribution and product contribution in online product community. This paper provides a different way of theorizing user contributions by incorporating uses and gratifications theory into the “Motivation-Behavior-Result” framework.

Since the success of online communities depend on physicians' participation, understanding factors that influence community participation and content contribution are critical for online health communities (OHCs). Drawing on the self-determination theory (SDT), an empirical model was proposed to explore the effects of social returns and economic returns on physicians' community participation, private content contribution and public content contribution, and the moderating effect of their online seniority. This paper aims to address these issues.

Empirical data of 4,343 physicians were collected from a Chinese OHC, and ordinary least squares (OLS) and negative binomial regression models were employed to verify the proposed theoretical model.

The authors’ results indicate that both social and economic returns have a positive effect on physicians' community participation and private content contribution, and their online seniority strengthens the positive effects of economic returns on community participation and private content contribution.

The authors’ research extends physicians' community participation by dividing content contribution into private and public, and enhances our understanding of the determinants of physicians' participation in OHCs by exploring the effects of social and economic returns, as well as the moderating effect of online seniority. Their findings contribute to the literature on e-Health and user participation, and provide management implications for OHC managers.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-11-2021-0615/

This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a bibliometric domain analysis as a quantitative approach to uncover the structures within the privacy research field.

The bibliometric domain analysis consists of a combined directed network and topic model of published privacy research. The network contains 83,159 publications and 462,633 internal references. A Latent Dirichlet allocation (LDA) topic model from the same dataset offers an additional lens on structure by classifying each publication on 36 topics with the network data. The combined outcomes of these methods are used to investigate the structural position and topical make-up of the privacy research communities.

The authors identified the research communities as well as categorised their structural positioning. Four communities form the core of privacy research: individual privacy and law, cloud computing, location data and privacy-preserving data publishing. The latter is a macro-community of data mining, anonymity metrics and differential privacy. Surrounding the core are applied communities. Further removed are communities with little influence, most notably the medical communities that make up 14.4% of the network. The topic model shows system design as a potentially latent community. Noteworthy is the absence of a centralised body of knowledge on organisational privacy management.

This is the first in-depth, quantitative mapping study of all privacy research.

In this chapter, I address the issues in doing a feminist ethnography based on the archives of a lesbian feminist community structured around music. In doing so, I grapple with questions central to archival research with marginalized social movement communities. I pose these questions as moments of interrogation where I draw on personal experience as well as literature on archival research to create a framework aimed at social movement researchers who are considering or doing archival work. These interrogations cover three broad areas and apply to different moments in the research process. First, what are the origin stories of social movement archives? Second, how can researchers construct the stories of marginalized and vulnerable communities? Third, how can we access the voices of community members found in the archives? To answer these questions, I identify how conceptual tools such as identifying community boundaries and documenting types of interaction can aid a scholar in the research process.

This paper aims to provide a nuanced understanding of philosophies underpinning social innovation based on the action research strategies applied in the field.

Literature review was conducted to identify action research strategies referred to in the social innovation literature. Through stratified purposive sampling, the authors then selected nonprofit organizations, each closely associated with one of the strategies. Qualitative content analysis was applied to documents published by these organizations for an in-depth exploration of how the action research strategies frame the three dimensions of social innovation, namely, the product, process and empowerment dimensions.

The authors identified four broad action research strategies referred to in the social innovation literature. Each strategy inspires four distinct narratives of social innovation centered around key concepts: prototyping, evidence, asset-building and co-creation.

The methodology used is characterized by depth rather than scope. Although diverse types of documents were used, the documents are limited to publications by four institutions. A deductive approach using the categories should be used in future empirical research.

The paper contributes to the discussion about different schools and research agendas in the field of social innovation. In particular, the authors examine the action research strategies adopted in the field, shedding light on incompatible views and strategies within certain research clusters while identifying common ground between authors belonging to different schools.

This study aims to analyze the effectiveness and efficiency of research-based community service programs in Indonesia that used government funds in 2017–2021.

The design of this research is a quantitative research method using a data envelopment analysis to evaluate 370 leading universities in Indonesia. Furthermore, six analytical models were considered to compare effectiveness and efficiency between universities. It involved two resource (budget and staff academic involved), three output (intellectual property, prototype and publication) and three outcome variables (economic impact, social impact and capacity building).

The findings showed that several universities are considered necessary, with great potential to increase output and outcome efficiency in community involvement. The study mapped and divided the position of 370 universities for additional information. The effectiveness aspect provides another perspective in assessing the performance of tertiary institutions in Indonesia and can be an option for evaluating research performance to improve the quality of output.

The authors use data from research and community service management information systems used, both the resources used and the results. Efficiency and effectiveness of 370 universities were compared in this study, including comparing their position on the previous assessment with the assessment of the results of this study. Approach to the concept of Mandl et al. (2008) regarding the relationship between input, output and outcome as the main component of the indicators, the authors apply to analyze efficiency and effectiveness.

Research into the dark side of online brand-managed communities (OBCs) and, specifically, consumer-to-consumer (C2C) conflicts within this context are scarce. This paper aims to explore the different forms of C2C conflicts in OBCs, measure their direct impact on observing consumers and brands and investigate their appropriate moderation by exclusively focusing on two actors: brands versus consumers.

This research adopts a sequential exploratory approach. First, the authors capture different forms of C2C conflict via netnographic observations of five brand-managed communities. Second, the identified forms of C2C conflict are used in an online experiment to examine their impact on OBCs’ social and commercial outcomes. Third, further two online experiments were used to assess how brand versus consumer conflict moderators impact perceived credibility and conflict de-escalation.

The authors uncover three prominent forms of C2C conflict based on whether conflict occurs between supporters, non-supporters or outsiders of the OBC. The authors further show that these affect consumers’ engagement behaviours and emotional responses, while brands suffer from diminished credibility and could be targets of unfavourable electronic word-of-mouth. Finally, for managing C2C conflict, the findings confirm that brands are perceived as more suitable, while under certain conditions consumers can also be viewed as appropriate moderators.

This research used a range of participant self-selected brands and is limited to brand-managed (as opposed to consumer-managed) communities on Facebook. While beyond the scope of this paper, the dynamics for consumer-managed communities may differ.

This article offers guidance to marketing practitioners on the different nuances of undesirable consumer interactions in brand-managed communities on social media, their impact on customer engagement and brand perceptions and when/whether brands or consumers may be suited to moderating these.

This paper makes novel contributions to the literature on consumer (mis)behaviours and OBC management. The findings are among the first, to the best of the authors’ knowledge, to examine the direct social and commercial consequences of C2C conflicts and to provide comparative insights into the appropriateness of two different moderators in OBCs.