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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.

This paper aims to discern the potential dimensions amid the duality of heritage tourism and peace. Reflecting on the phases of destruction and rebuilding of Seated Buddha of Jahanabad, this study used the content analysis of 40 news sources, to unravel the resultant avenues of heritage tourism and peace.

Following the qualitative research strategy, the interface of NVivo 12 has been used to transcribe the textual and visual content of media news. The media news aired on the incident of destruction phase in 2007, and rebuilding drive in 2012–2016 were the two sets of collected data. A hierarchy of thematic analysis was adopted to identify nodes, subthemes and themes.

Findings of this study highlighted six themes: peaceful imagery, PI; heritage dissonance, HD, vs interfaith harmony, IH; peace allegory through restoration, PAR; precursor of heritage sustainability, PHS; community heritage consonance, CHC; and heritage touristic valuation, HTV.

This study lacks statistical data of the quantitative research domain. Aimed at a single heritage site, it analyzed limited number of news sources.

This study offers implications for industrial, theoretical, managerial and governmental stakeholders in their respective domains. Moreover, it also provides takeouts for common readers.

This study contends a significant research issue and analyzes the destruction and rebuilding of a heritage site in a developing country. Primarily in the sociogeographic context of the research issue, the resultant dimensions are novel and demanding.

Given the potential for authorial fashion to lead the way in the field of sustainable fashion and digital platforms to be a powerful tool for spreading sustainable messages, this study seeks to explore the emphasis given to sustainability in the digital communication of Portuguese and Spanish’s authorial fashion.

A thematic analysis of all the posts published on the feeds of the 63 designers who presented their collections at the Madrid and Lisbon fashion weeks in September/October 2022 (Spring/Summer 2023) or February/March 2023 (Fall/Winter 2023/2024) editions was carried out. The information was collected over a six-month period between the two fashion weeks. This study is based on the categories identified in the reflexive thematic analysis developed by Testa et al. (2020). After adapting the categories to our analysis, 14 emerging themes were identified as observation criteria.

A total of 4,699 posts were examined. The analysis reveals a general lack of interest in mentioning sustainability – a subject evident in just around 6% of the content – as well as a high emphasis on the visual aspect of the fashion product. Several similarities between the Portuguese and Spanish markets were observed.

This study is important since there are few cross-cultural studies in the field of fashion between the two countries, particularly on sustainable fashion. Furthermore, it establishes a structure that is easily replicable in various markets and geographical areas.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

In this era of technological advancement, the capabilities of devices and telecommunications have changed the pattern of media consumption among consumers. This study examined the research landscape and advancements in OTT services.

This study adopted a hybrid review consisting of bibliometric and thematic analyses to present advancements in the OTT platforms. A hybrid review integrates both systematic and narrative approaches by emphasizing a literature search strategy and the study selection process.

This study focuses on previous literature to understand recent developments in the domain. The authors derive six major OTT themes: OTT infrastructure and technology advancement, OTT consumption behaviour, shifting trends towards OTT platforms, viewers’ engagement in digital media, OTT in the global market, OTT policies and regulatory mechanisms.

The findings of this study will be useful for marketers/stakeholders associated with the entertainment and media industries, such as sales promotion teams, media planners/advertisers, content management companies and policy regulators, to penetrate OTT viewers.

The literature related to OTT is progressively rising, but it remains highly fragmented because of inconsistencies in the methodologies and theories used in the domain of OTT. This study offers directions in terms of theory, methodology and future research on OTT services.

The purpose of this study is to empirically investigate the role of dynamic capabilities, specifically the sequence of sensing, seizing, and transforming capabilities, in highly uncertain, emerging technology environments. Focusing on the extended reality industry, the study aims to understand the antecedents to these dynamic capabilities, their sequential nature, and their subsequent impact on innovation and company performance.

Based on a survey of 130 German companies in the extended reality sector, we built a structural equation model that explores the relationship between dynamic capabilities, their antecedents, and their effect on innovation and company performance.

The analysis suggests that sensing capabilities positively influence seizing and transforming capabilities, while seizing directly contributes to transforming. Transforming capabilities are linked to improved innovation performance, which in turn boosts company performance. Organizational ambidexterity, market orientation, and technology orientation are found to be crucial antecedents, accounting for 33.1% of the variance in sensing capabilities.

This research illuminates the interdependence of dynamic capabilities in highly uncertain business environments, such as emerging technology markets. It contributes original insights by elucidating the sequential nature of dynamic capabilities and identifying their vital antecedents. It also enlarges the understanding of how dynamic capabilities impact firms’ innovation performance.

This study aims to conceptualize, rethink and systematize methods used for measurement and evaluation (M&E) corporate communication.

The reflection is based on 462 key English-language books and papers devoted to M&E in the fields of corporate communication and public relations from the 1970th to 2023. Keywords in the titles and abstracts found the necessary materials. A critical analysis of the central concepts, models and methods described in the literature was conducted. As a result, a new model that unifies and structures the M&E toolkit is proposed for discussion.

Despite the significant contribution to developing a wide range of M&E models, they are still not perfect and universal. In addition, this system of approaches is continuously self-evolving and changing under the influence of digital innovations, so it requires steady rethinking and updating. On the other hand, most previous studies focused on communication management processes, losing focus on communication aspects. This led to the need for an alternative view based on proven theories to fill this gap. The proposed model combines quantitative and qualitative M&E methods for the five main components of corporate communication (communicator, audience, content, channels and result), covering a wide range of tools, from statistical and sociological research to big data analysis and neuro research.

This work contributes to developing the M&E theory of corporate communication, systematizing existing methods and opening new research perspectives. From a practical point of view, companies can use the presented approach for a more accurate and objective internal evaluation of the main components of corporate communication.

This study aims to examine the impact of communication style focusing on the family business brand’s roots and virtues on inferences of manipulative intent and willingness to pay a price premium, applying the persuasion knowledge model.

This study collects data involving 337 participants from France and applies partial least squares structural equation modeling (PLS-SEM) to test the hypotheses.

The results demonstrate that communication style plays an important role in inferences of manipulative intent: focusing on the family business brand’s virtues has a positive effect while focusing on the family business brand’s roots has a nonsignificant effect. In turn, inferences of manipulative intent have a negative and significant effect on willingness to pay a price premium. Furthermore, age does not moderate the effect of communication style focusing on the family restaurant brand’s roots and inferences of manipulative intent but positively moderates the effect of communication style focusing on the family restaurant brand’s virtues on inferences of manipulative intent.

To the best of the authors’ knowledge, this study is the first to try to unpack the differing effects of communication styles in the context of family business brands. In this vein, it has insightful theoretical and managerial implications for family business brands.

The COVID-19 lockdown severely impacted organizations in the cultural and tourist business as their products all of a sudden “disappeared”. This study aims to explore if and how the unexpected and disruptive nature of the pandemic accelerated the development of new communication strategies on their social media.

The study draws on data from 24 midsize cultural institutions and tourist attractions in Denmark over the first two months of the lockdown in 2020. Approximately 900 posts on Facebook were collected and analyzed through the netnographic method. The analysis followed a two-layered qualitative approach. First, open coding to identify typologies and enable a comparison with established strategies from the literature review. Then, an exploratory examination was conducted across the typologies.

Nine different content categories were identified in the data and subsequently assessed and discussed in relation to the literature on strategies and dialogic intentions. This resulted in the emergence of two new overarching strategies: hope and host.

While hope is particularly relevant in crisis situations, the utilization of employees in the host role presents an opportunity for further development and engagement. Further, the results call for future research that breaks with the traditional quest for ideal strategies for the benefit of exploring the notion of “strategic doers”.

The identification of the hope and host strategies, along with the analysis of content categories and their alignment with various strategic intentions, contributes to the existing knowledge in this field. Further, the classic perception of engagement as driven by explicit interaction and dialogue is also challenged.

This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.

Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.

Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.

This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.

本研究旨在运用预测处理理论, 考察人工智能（AI）驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑（eWOM）行为的影响。。

采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。

互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。

本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。