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This paper aims to examine the interrelationships between user-centric measures and their impact on the firm’s perceived financial performance as the respondents’ decision-making role changes.

The data was collected jointly with SurveyMonkey, a marketing research company, from marketing professionals working in companies with at least limited experience deploying big data marketing analytics (BDMA) applications. The respondents originated from Canada and the USA, and out of 970 responses in the initial sample, 236 were working in companies with at least limited experience in BDMA deployment. The data analysis used partial least squares structural equation modeling and necessary condition analysis.

All hypotheses except one were accepted. Perceived value for money positively and significantly impacted user satisfaction, positively and significantly impacted perceived financial performance. Also, the decision-making role positively and significantly impacted the perceived value for money and user satisfaction but not the perceived financial performance.

The research contributes to understanding how the decision-maker’s role impacts the perceived user-related performance measures in the BDMA context.

Fake News, a disruptive force in the information world, has been extensively researched across various academic domains. This study, however, takes a unique approach by using bibliometric analysis to explore the specific link between fake news and the erosion of media trust. The purpsose of this study is to introduce novel and unexplored research questions that have not been thoroughly investigated, opening up exciting avenues for future research.

A thorough bibliometric analysis was conducted on 480 papers published between 2015 and 2023, using VOSviewer and Biblioshiny software packages. These papers were sourced from the well-known electronic research database, Scopus. The study included cluster analysis, bibliographic coupling, citation analysis, content analysis, keyword analysis and a three-field plot, providing a robust examination of the research landscape.

The bibliometric content analysis gave eight research clusters in the area. Future research guidelines are proposed, followed by conclusions, limitations and research and management implications. (1) Distrust in media and populism; (2) Social media, conspiracy theories and COVID-19; (3) Fact-checking, misinformation and media dynamics; (4) Fake news, trust and political bias; (5) Polarisation, echo chambers and information bubbles; (6) Political communication and media trust; (7) Media literacy and mass communication; and (8) Disinformation, trust and political consequences.

The analysis reveals gaps in existing literature, highlighting the need for comprehensive studies that explore the nuanced relationships between fake news and media credibility by using interdisciplinary approaches, combining insights from communication theory, psychology and sociology. This analysis can guide scholars in identifying new research directions.

Media organisations can use this knowledge to develop strategies that enhance their credibility and counteract the effects of fake news. Policymakers can design informed regulations to combat misinformation and protect public trust. Educators can integrate these insights into curricula to prepare future journalists and media professionals for the evolving landscape. Tech companies can leverage these findings to mitigate fake news and build media trust.

Public trust in media is foundational to democratic societies. Understanding the dynamic of fake news helps recognise broader societal consequences, such as increased polarisation and decreased civic engagement. By addressing the issues, society can work towards restoring faith in the institution of media.

There is a lack of comprehensive research using bibliometric analysis to understand how the rise of fake news has affected the reputation of traditional media. This study makes a significant contribution, using a bibliographic lens to highlight key themes and pave the way for future research.

Efforts in using Lesson Study (LS) as a tool for Professional Development (PD) has in a Norwegian context often tended to be short-lived. Some schools have managed to find solutions for sustainability, and a selection of these are the focus of this study. The objective is to explore supportive factors for sustainability.

This is a case study that explores how LS has been organized and developed in a cluster of three schools in a municipality at the west coast of Norway. These schools have been selected through a purposeful selection based on their long-lasting persistence in using LS as a tool for PD. Data is retrieved from interviews with school leaders and teachers (process facilitators), in addition to teacher surveys.

One of the most important factors for sustainability in LS was found to be school leaders’ commitment, knowledge and engagement in LS. Further, the results highlight “anchoring” LS in the teacher group and securing the relevance of LS in relation to the curriculum. The school leader groups in this study have involved teachers by including them as process facilitators and considered teachers’ views on the content and organizing of LS. Additionally, university collaboration, networking among local schools and schools abroad, knowledge resources and structures (for the LS work) were important factors for sustainability. The step-by-step process of building a culture for LS allowed LS to be a dynamic approach to the schools’ PD.

This is the first study that has investigated possible explanations for sustainability of LS in a Norwegian context. The findings can serve as an inspiration or a guide to a sustainable LS approach.

This study aims to examine the effect of critical media literacy integration in the context of English language teaching (ELT) in Indonesian high school students on improving students’ creativity and essential literacy skills.

The study was conducted in an Indonesian ELT class consisting of 32 high school students. The methodology involved instructing students to analyze various media sources and articles to demonstrate their critical reading abilities before writing creative argumentative essays. Data collection instruments included students’ argumentative essays, teaching observations and students’ self-reflections on their learning experiences.

The study revealed that students were capable of creating creative and well-structured argumentative essays. However, their conclusions were often unclear and lacked sound judgments. This indicates that Indonesian EFL students require more practice in forming well-rounded judgments. Media analysis and discussion sessions were found to be significantly beneficial for enhancing critical literacy instruction.

One limitation of the study is its focus on a single class of 32 students, which may not be representative of all Indonesian high school students. Future studies should consider expanding the sample size and incorporating diverse educational contexts.

The findings show that integrating critical media literacy (CML) into ELT not only boosts students’ creativity and critical thinking but also helps them tackle real-world challenges, like identifying misinformation in Indonesia’s digital landscape. To make this approach more practical, the study highlights the importance of teacher-led strategies, such as using guiding questions during discussions and modeling how to create media context. These methods align well with Indonesia’s Merdeka Belajar policy, which encourages flexible, student-centered learning. This research provides valuable insights for educators, policymakers and curriculum designers looking to adapt media literacy to the needs of 21st-century learners across Indonesia’s diverse educational settings.

The study highlights the importance of critical media literacy in fostering a more critically aware and socially responsible youth. By enhancing students’ ability to analyze media and creatively develop well-structured arguments critically, critical media literacy integration can contribute to a more informed and engaged citizenry. This is particularly relevant in today’s media-saturated environment, where the ability to discern and evaluate information critically is crucial for democratic participation and social cohesion.

This research contributes to the limited research on the role of media literacy integration in enhancing students’ creativity and critical literacy within ELT. It highlights the importance of teacher-led discussions in fostering critical thinking skills, providing valuable insights for teachers, practitioners and policymakers aiming to improve media literacy instruction in similar contexts.

This study aims to examine the intricate connections between environmental management accounting (EMA) and environmental performance (ENP) through the mediating and moderating roles of green technology innovation, including green process innovation (GSI), green product innovation (GPI) and environmental strategy (EST). The study uses a mediated moderation model with the lenses of legitimacy theory and the natural resource-based view to explore how these constructs interact. It then offers insights into how organizations can improve ENP by integrating EMA, green technology innovation and EST.

This study uses a quantitative approach and collects data from a survey of 325 senior managers and chief accountants of manufacturing firms in Vietnam. The author conducts validation and reliability assessments using SmartPLS4 software and uses partial least squares structural equation modeling to validate the research hypotheses.

The results indicate significant positive correlations between EMA, GSI, GPI and ENP. Additionally, the findings reveal that two forms of green technology innovation, namely, GSI and GPI, mediate the relationship between EMA and ENP. Finally, this study confirms that EST moderates the connections between GSI and ENP, as well as GPI and ENP.

This study offers novel perspectives on how organizations address the effective harmonization of diverse green assets, such as EMA, GSI, GPI and EST, to enhance ENP. Therefore, the findings of this research provide a valuable understanding of the correlations between EMA, GSI, GPI, EST and ENP for the manufacturing sector in the emerging economy.

The purpose of this study is to assess a novel method for creating tangible three-dimensional (3D) morphologies (scaled models) of neuronal reconstructions and to evaluate its cost-effectiveness, accessibility and applicability through a classroom survey. The study addresses the challenge of accurately representing intricate and diverse dendritic structures of neurons in scaled models for educational purposes.

The method involves converting neuronal reconstructions from the NeuromorphoVis repository into 3D-printable mold files. An operator prints these molds using a consumer-grade desktop 3D printer with water-soluble polyvinyl alcohol filament. The molds are then filled with casting materials like polyurethane or silicone rubber, before the mold is dissolved. We tested our method on various neuron morphologies, assessing the method’s effectiveness, labor, processing times and costs. Additionally, university biology students compared our 3D-printed neuron models with commercially produced counterparts through a survey, evaluating them based on their direct experience with both models.

An operator can produce a neuron morphology’s initial 3D replica in about an hour of labor, excluding a one- to three-day curing period, while subsequent copies require around 30 min each. Our method provides an affordable approach to crafting tangible 3D neuron representations, presenting a viable alternative to direct 3D printing with varied material options ensuring both flexibility and durability. The created models accurately replicate the fidelity and intricacy of original computer aided design (CAD) files, making them ideal for tactile use in neuroscience education.

The development of data processing and cost-effective casting method for this application is novel. Compared to a previous study, this method leverages lower-cost fused filament fabrication 3D printing to create accurate physical 3D representations of neurons. By using readily available materials and a consumer-grade 3D printer, the research addresses the high cost associated with alternative direct 3D printing techniques to produce such intricate and robust models. Furthermore, the paper demonstrates the practicality of these 3D neuron models for educational purposes, making a valuable contribution to the field of neuroscience education.

The aim of this research is twofold: (1) to investigate when the effect of R&D investment on New Product Development (NPD) performance peaks – the sweet spot and (2) to analyze the influence of firms’ export activities on where that spot is. Drawing on the knowledge-based view (KBV), we argue that export intensity and export experience lead to differential effects on how R&D investments are converted into new products.

We test our conceptual framework using time lagged data and optimal-level analysis. The dataset consists of an unbalanced panel of 608,891 observations and 333,516 firms.

The results support the expected inverted U-shaped relationship between R&D investment and NPD performance. They also show moderating effects of export intensity and experience. Export intensity enhances innovation processes by enabling firms to stretch the points at which R&D investments eventually taper off. In contrast, export experience improves firms’ ability to convert R&D investments into NPD performance. Our results demonstrate that, all else equal, firms with relatively higher export experience can spend less on R&D and still achieve higher levels of NPD performance.

We contribute to the literature by investigating how export activities provide a valuable context for understanding the theoretical mechanisms that help explain the inverted U-shaped relationship between R&D investment and innovation. We show the effects of exporting activities on the precise points where the R&D investment–NPD performance relationship peaks, thereby identifying the optimal point within this nonlinear relationship.

This paper aims to present a hybrid review combining the theory, context, characteristics and methodology (TCCM) framework and bibliometric analysis of international business research from 1991 to 2023, shedding light on the field’s growth, trends and key contributors.

Relevant papers were selected using the preferred reporting items for systematic reviews and meta-analyses model. Initially, this paper conducted a descriptive analysis to identify prolific institutions, countries and journals. Using bibliometric techniques and the TCCM framework, this paper analyzed theory, context and method visualized through word clouds and keyword co-occurrence. The characteristic aspect was analyzed using bibliographic coupling to identify major themes, providing a comprehensive understanding of the most significant factors in international business research.

The analysis of a data set comprising 5,644 documents reveals a steady increase in the annual growth rate of publications, highlighting the growing significance of international business in the global economy. First, this paper noticed a significant increase in publications in leading international business journals, with the Journal of International Business Studies being the most prolific. Second, using the TCCM framework, this paper discovered that the resource-based view, institutional theory, transaction cost theory and internalization theory are predominant in international business research. Most studies have concentrated on firm or enterprise-level entities, followed by country-level analyses. This paper also identified six main themes: (1) innovation and strategy, (2) market, (3) HR impact and leadership, (4) marketing, (5) internationalization and (6) entrepreneurship. Quantitative methods have been the most frequently used research design, followed by qualitative and mixed methods.

The study offers researchers and practitioners a roadmap for future investigations, collaboration and innovation in international business, thereby advancing the knowledge and understanding of this complex field within a globally interconnected economy.

This study provides insights into growth and trends, identifying journals, clustering research topics and enhancing theoretical and methodological understanding in the field of international business.

This paper aims to explore the effectiveness of customer inoculation strategies in the context of AI service failures in the hospitality and tourism industries. Furthermore, it examines how these strategies can enhance customer complaint behavior and satisfaction with service recovery, thereby improving the overall service experience.

Four distinct studies were conducted: Study 1 investigated the influence of customer inoculation on complaint behavior post-AI service failure. Study 2 assessed the impact of service remedies on customer satisfaction. Study 3 explored the implications of initial purchase and usage intentions. Finally, Study 4 validated the findings using a large-scale online survey.

The results indicated that customer inoculation significantly increases customer complaint behavior and satisfaction with service remedies following AI service failures. They also showed that this relationship is mediated by psychological distance. Furthermore, customer inoculation positively affects initial purchase and usage intentions, demonstrating effectiveness at various customer engagement stages.

This study enriches the literature on AI hospitality service failure and recovery by introducing the novel concept of customer inoculation. Additionally, it significantly contributes to the inoculation theory literature, which covers diverse fields. Practically, this study proposes an efficient and low-cost strategy for marketers.

This study introduces the concept of customer inoculation in the context of AI service failures, a novel approach in the hospitality and tourism literature. It provides empirical evidence of the efficacy of the strategy, bridging a crucial gap in understanding customer behavior in the face of technological disruptions.