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This systematic review aims to identify the key determinants of knowledge transfer (KT) activities among researchers.

This study systematically reviewed KT literature in academic settings from 1995–2023. The authors searched Web of Science and Scopus using predefined keywords, following PRISMA guidelines for screening and eligibility assessment. From 158 selected articles, the authors extracted data and conducted a descriptive analysis to map KT activities’ evolution. A narrative synthesis approach categorized determinants of researchers’ KT activities.

The systematic review findings revealed a general conceptual framework that categorizes the identified determinants of KT into four categories. At the individual level, the factors are related to the sociodemographic characteristics of the researcher (e.g. gender, age, experience), their psychological aspects (e.g. attitude, intrinsic motivation, intention) and personal characteristics (e.g. self-efficacy, communication skills). At the research team level, leadership style and team dynamics. At the organizational level, the findings emphasize university characteristics (e.g. size, structure and ranking), KT culture installed and university resources. At the inter-organizational level, the key determinants were funding sources, network strength and trust.

The studies included in our database were different in terms of contexts, country of the study, the disciplines of KT and the types of KT activities examined. This variety restricts the direct comparison of research findings thus the generalizability of our conclusions. Future research should focus on specific contexts, disciplines, countries or types of KT activities to provide generalizable findings.

A better understanding of all the factors influencing KT among university researchers is essential for several reasons. First, it will enable the government to develop effective policies to promote KT ecosystems. Second, universities can create strategies, policies and programs to support researchers’ engagement in KT activities. Finally, researchers can be more strategic in their KT efforts.

This systematic review contributes to the literature by providing a comprehensive conceptual framework that identifies KT determinants at different levels and fills a gap in the existing literature that only addresses specific aspects of KT determinants. This framework can be a theoretical reference for future empirical studies. Furthermore, it practically provides recommendations for different actors including, government, universities and researchers.

Fashion retailers have increasingly adopted consumer-facing in-store technology (CFIT) to enhance the customer experience/service provision. This paper aims to explore managerial experiences and sociotechnical implications of introducing these technologies into organizational working processes.

This study draws on interpretive analysis of semi-structured interviews with 74 senior fashion retail industry practitioners, technology providers and consultants to understand managerial perspectives on technological innovation issues.

Endogenous and exogenous factors act as drivers or barriers to CFIT adoption and are influenced by strategic and tactical motives. Key issues that retail managers encounter include challenges in aligning technology implementation with retailer brand image to manage risk and reputation, with additional complexity arising from different internal and/or external actors involved, as well as required levels of change in organizational structure.

This study contributes an empirically derived framework identifying reasons for – and the drivers/barriers influencing – fashion retailers' CFIT adoption, classifying three broad approaches to CFIT adoption: embedded, transformative and opportunistic.

The purposes of this study are to identify the ways that luxury fashion brands can leverage in metaverse retailing, and give insights to practitioners in the fashion industry who are planning to launch metaverse retailing.

To offer a balanced view of available evidence, this study adopted a literature review approach and attempted to collect all existing academic journal articles on the issues related to metaverse retailing and luxury fashion brands. A comprehensive literature search was conducted in electronic databases Google Scholar, Web of Science, Scopus, Pro Quest and Science Direct from January 2023 to April 2024. Based on the results of the research in literature, real-life examples of luxury fashion brands were used to explain the ways that luxury fashion brands in the metaverse retailing can be put into practice.

The findings have revealed that there are many ways that luxury fashion brands can leverage in the metaverse retailing. The fusion of metaverse-related technologies provides brands with a wide platform of choices that can create immersive, personalized marketing experiences for customers. Four roles of metaverse are identified: (1) enhance of immersive experience; (2) provide big data interface to smart decision-making; (3) form high-fidelity simulated space; and (4) maintenance economic system and making of identification. To further enhance the four roles of metaverse, four types of technologies and 15 components for metaverse can be adopted by luxury fashion brands.

While this paper provides a literature review and real-life examples of luxury fashion brands in the metaverse retailing to explain the findings, further research is needed to evaluate the effectiveness of current efforts in the development of luxury fashion brands in the metaverse retailing through collecting both quantitative and qualitative data. Also, future studies may attempt to explore the challenges of investigating consumers in response to luxury fashion brands in the metaverse retailing.

The metaverse is turning imagination into reality through the integration of multiple technologies and is gaining momentum in tech. With technology leading the way, business leaders and brands must not only rethink retail but also bring immersive shopping experiences into the future. Metaverse has immense potential to transform the retail industry, thus the leading global and local firms must embrace innovation and new technologies, and prioritize “metaverse transformation” for their business. Based on the results of this study, some emerging practices pertaining to metaverse retailing are provided.

To the best of the authors’ knowledge, it would seem that this is the first work that conducts a literature review of the relevant academic journal articles addressed to the practitioners or managerial audiences in the area of luxury fashion industry who are concerned about the development of metaverse retailing. This paper identifies the ways that luxury fashion brands can leverage in the metaverse retailing and gives insights to practitioners in the luxury fashion industry who are planning to launch metaverse retailing.

The integration of augmented reality retail technology (ARRT) in retailing industry has emerged as a key driver for transforming the consumer experiences and driving online sales. However, inconsistent findings in the existing research literature highlight the need for subsequent research efforts. The purpose of this study is to examine how augmented reality (AR) features like interactivity, flow experiences, augmentation and consumer engagement, contribute to retailer’s success in the online marketplaces.

This meta-analysis study uses the theoretical lens of task-technology fit to synthesize and analyze the empirical results of existing AR studies published until March 2024.

All ARRT features examined in this study directly impacted online buyers’ purchase intention. Moderators’ analysis only partially supported the hypotheses proposing a significant difference in the effect size of ARRT features on purchase intention based on the country’s GDP per capita and innovation level. While GDP per-capita moderated three relationships, innovation level moderated four out of six interactions studied.

This meta-analysis enhances the existing ARRT literature by using the task-technology fit theoretical framework, offering a dual perspective encompassing customers and businesses. Unlike popular technology innovation theories and models, such as Unified Theory of Acceptance and Use of Technology and technology acceptance model, which predominantly focus on consumers, this perspective provides concrete directions for designing AR-enabled retail platforms that meet the task requirements of both consumers and retailers.

La integración de la Tecnología de Realidad Aumentada en el Comercio Minorista (ARRT, por sus siglas en inglés) ha surgido como un factor clave para transformar las experiencias de los consumidores y fomentar las ventas en línea. Sin embargo, los hallazgos inconsistentes en la literatura de investigación actual destacan la necesidad de más esfuerzos de investigación para comprender cómo características de RA, como por ejemplo la interactividad, las experiencias de flujo, la aumentación y el compromiso del consumidor, contribuyen al éxito de los minoristas en los mercados en línea.

Este estudio de meta-análisis utiliza el marco teórico de ajuste tarea-tecnología para sintetizar y analizar los resultados empíricos de estudios de RA publicados hasta marzo de 2024.

Todas las características de ARRT examinadas en este estudio impactaron directamente en la intención de compra de los compradores en línea. El análisis de moderadores solo apoyó parcialmente las hipótesis que proponían una diferencia significativa en el tamaño del efecto de las características de ARRT sobre la intención de compra, en función del PIB per cápita y el nivel de innovación del país. Mientras que el PIB per cápita moderó tres relaciones, el nivel de innovación moderó cuatro de las seis interacciones estudiadas.

Este meta-análisis mejora la literatura existente de ARRT al emplear el marco teórico de ajuste tarea-tecnología, ofreciendo una perspectiva dual que abarca a consumidores y empresas. A diferencia de las populares teorías y modelos de innovación tecnológica, como la Teoría Unificada de Aceptación y Uso de Tecnología (UTAUT) y el Modelo de Aceptación de Tecnología (TAM), que se centran predominantemente en los consumidores, esta perspectiva proporciona orientaciones concretas para diseñar plataformas de comercio minorista habilitadas para RA que satisfagan los requisitos de tareas tanto de consumidores como de minoristas.

增强现实零售技术（ARRT）的整合已成为零售行业转变消费者体验、推动在线销售的重要驱动力。然而, 现有研究文献中的不一致发现表明, 需要进一步研究来深入理解增强现实功能（如交互性、流体验、增强效果和消费者参与度）如何在推动零售商在线市场成功中发挥作用。

本研究以任务-技术契合理论为视角, 对截至2024年3月发表的增强现实相关实证研究进行了元分析, 以系统整合和深入分析现有研究成果。

研究中考察的所有ARRT功能均直接影响在线买家的购买意向。调节效应分析部分支持了假设, 即ARRT功能对购买意向的效应大小因国家人均GDP和创新水平而异。具体而言, 人均GDP对三种关系起到调节作用, 创新水平则调节了六种关系中的四种。

本项元分析运用任务-技术契合理论框架, 深化了现有ARRT文献, 通过顾客与企业双重视角提供洞见。不同于以统一技术接受与使用理论（UTAUT）和技术接受模型（TAM）等为代表的流行技术创新理论和模型, 这一视角为设计符合消费者和零售商任务需求的AR零售平台提供了切实的指导。