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This study aims to explore how a postmodern tribe enacts and re-interprets ideologies as a part of consumers’ collective experience, to enhance our understanding of consumer communities in conjunction with ideological capacities.

The community of “presenteers” is conceptualized as a self-organized tribe with heterogeneous components that generate capacities to act. Netnographic observation was conducted on 18 presenteer accounts and lasted around six months. Real-time data were collected by taking screenshots of the posts and stories that these users created and publicly shared. Data were analysed by adopting assemblage theory, combining inductive and deductive approaches. Firstly, a qualitative visual-textual content analysis of the tribe’s defining components was conducted. Then, the process continued with the thematic analysis of the ideological underpinnings of the tribe’s enactments.

Findings shed light on the ways in which consumer communities interpret the entanglement of religious, political, and cultural ideologies in shaping their experiences. In the case of the presenteers tribe, findings reflect a novel ideological interplay between neo-Ottomanism, post-feminism and consumerism.

The study offers a deep dive into a unique tribe that is being organized around the consumer-created practice of “presenteering” and investigates consumer communalization in alignment with the ideological turn in culture-oriented interpretative research on consumers, consumption, and markets. This exploration helps to bridge the research on the communalization of consumers with the recent discussions of ideology in the postmodern market.

The study offers a deep dive into a unique tribe that is being organized around the consumer-created practice of “presenteering” and investigates consumer communalization in alignment with the ideological turn in culture-oriented interpretative research on consumers, consumption, and markets. This exploration helps to bridge the research on the communalization of consumers with the recent discussions of ideology in the postmodern market.

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

With the development of science and technology, more creators are trying to use new crafts to represent the cultural trends of the social media era, which makes cultural heritage innovative and new genres emerge. This compels the academic community to examine craft from a new perspective. It is very helpful to understand the hidden representational structure of craft more deeply and improve the craft innovation system of cultural and creative products that we deconstruct the craft based on Complex Network and discover its intrinsic connections.

The research crawled and cleaned the craft information of the top 20% products on the Forbidden City’s cultural and creative products online and then performed Complex Network modeling, constructed three craft representation networks among function, material and technique, quantified and analyzed the inner connections and network structure of the craft elements, and then analyzed the cultural inheritance and innovation embedded in the craft representation networks.

The three dichotomous craft representation networks constructed by combining function, material and technique: (1) the network density is low and none of them has small-world characteristics, indicating that the innovative heritage of the craft elements in the Forbidden City’s cultural and creative products is at the stage of continuous exploration and development, and multiple coupling innovation is still insufficient; (2) all have scale-free characteristics and there is still a certain degree of community structure within each network, indicating that the coupling innovation of craft elements of the Forbidden City’s cultural and creative products is seriously uneven, with some specific “grammatical combinations” and an Island Effect in the network structure; (3) the craft elements with high network centrality emphasize the characteristics of decorative culture and design for the masses, as well as the pursuit of production efficiency and economic benefits, which represent the aesthetic purport of contemporary Chinese society and the ideological trend of production and life.

The Forbidden City’s cultural and creative products should continue to develop and enrich the multi-coupling innovation of craft elements, clarify and continue their own brand unique craft genes, and make full use of the network important nodes role.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Immigration-themed children’s literature can be an important resource in the classroom, especially because some U.S. immigrant groups, including French-Canadians, have received limited curricular representation. Using the qualitative method of critical content analysis, this study aims to examine depictions of French-Canadian immigrants to the United States in contemporary children’s books.

Postcolonialism is employed as an analytical lens with special attention given to the ways immigrant characters are constructed as different from the dominant group (i.e., othering), how dominant group values are imposed on immigrant characters, and how immigrant characters resist othering and domination. Three books comprise the sample: “Charlotte Bakeman Has Her Say” by Mary Finger and illustrated by Kimberly Batti, “Other Bells for Us to Ring” by Robert Cormier, and “Red River Girl” by Norma Sommerdorf.

The findings reveal multiple instances in which French-Canadian immigrants are constructed as Other and few instances in which these characters resist this positioning, and these books reflect the real ways French-Canadians were perceived as subalterns during the mass migration from Québec to the United States between the late 19th and early 20th centuries.

This study is significant because it examines portrayals of a substantial immigrant group that has been overlooked in the immigration history curriculum. This sample of children’s books may be used to teach children the complexities of immigration history and provide a more nuanced understanding of immigration during the 19th and 20th centuries.

The purpose of this paper is to further theorize BlackCrit to include a deeper focus on the framing idea of Black liberatory fantasy via Afrofuturism.

To develop the theoretical connections, the author revisits their previous scholarship on Black girls’ Afrofuturist storytelling practices to elucidate how the girls used their speculative narratives to critique the antiblackness present in their schools and the world at large and to create future worlds in which they have the power to create the world anew.

This paper discusses the relationship between BlackCrit and Afrofuturism by considering three interrelated ideas: how Afrofuturism acknowledges the antiblackness embedded in the USA; how BlackCrit makes space for liberatory Black futures and otherwise worlds; and how each theoretical idea inherently complements the other.

This paper creatively uses a hip hop album as a foundation for the portrayal of the intricate connections between Black pasts, presents and futures. As a conceptual paper, it pushes educators and researchers to consider the call and response between antiblackness and Black futurity.

Over the past few decades, a large number of research studies have examined tourism. However, studies that examine halal tourism are still limited. Therefore, the purpose of this study is to conduct a bibliometric analysis related to halal tourism based on the results of empirical research studies that have been published.

The approach in this study uses a systematic literature review related to halal tourism as a reference in “Article Title, Abstract and Keywords” based on the Scopus database from 1997 to 2023. The analysis was conducted on January 8, 2023. The data that has been collected will be analyzed bibliometrically using VOSviewer.

The research findings show that research related to halal tourism is still relatively rare, especially in countries/locations where the majority of the population is non-Muslim. This can be seen from the majority of previous studies conducted in Muslim-majority countries/locations, such as Malaysia and Indonesia. Future research should be conducted in countries/locations where the majority of the population is non-Muslim.

This study relies on research in halal tourism literature in the Scopus database. Future studies can combine with the Web of Science database to expand generalization.

The results of this study include implications for managing and developing sustainable halal tourism in the future for practitioners.

The results of this study provide a strategic perspective to practitioners and society in general to find out how the concept of sustainable halal tourism development in the future is in accordance with Islamic sharia.

Research related to halal tourism is currently starting to develop in various countries, both with a majority Muslim and non-Muslim population. In addition, until now research related to halal tourism is still limited literature that discusses.

The increased importance of sports and athlete brands highlights the need for athletes to pay attention to branding as it has positive impacts. As athletes, Muslim women have not succeeded in building their brands. This study aims to understand the branding challenges facing Muslim female athletes and how to overcome them.

These branding obstacles and guidelines were explored using qualitative methods – specifically semi-structured interviews with Muslim female athletes and focus groups with experts. Data were analysed using open and axial coding to identify the codes.

The study identifies three major obstacles to branding by Muslim female athletes. Self-related obstacles, such as knowledge of brand building, social media, personal pressure and a lack of role models, impact the brand-building decision. Social-related (family and society) and sport-related obstacles (participation as women and as Muslims) further complicate this task. Experts provide additional insights regarding these obstacles, suggesting strategies to overcome them.

The research focuses on athletes from one geographical area and has limitations associated with using qualitative methods.

The study suggests how self-, social- and sport-related obstacles are faced by athletes. It provides suggestions for federations, sports codes and other stakeholders to support athletes to overcome these barriers.

This study expands the understanding of the struggles Muslim women face in building their brands as part of an under-represented group.

This research explores the differential effects of pixel-level and object-level visual complexity in firm-generated content (FGC) on consumer engagement in terms of the number of likes and shares, and further investigates the moderating role of image brightness.

Drawing on a deep learning analysis of 85,975 images on a social media platform in China, this study investigates visual complexity in FGC.

The results indicate that pixel-level complexity increases both the number of likes and shares. Object-level complexity has a U-shaped relationship with the number of likes, while it has an inverted U-shaped relationship with the number of shares. Moreover, image brightness mitigates the effect of pixel-level complexity on likes but amplifies the effect on shares; contrarily, it amplifies the effect of object-level complexity on likes, while mitigating its effect on shares.

Although images play a critical role in FGC, visual data analytics has rarely been used in social media research. This study identified two types of visual complexity and investigated their differential effects. We discuss how the processing of information embedded in visual content influences consumer engagement. The findings enrich the literature on social media and visual marketing.