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Although the theoretical arguments provide several channels through which innovation affects export, empirical validation of this relationship is scarce. Further, the impact of the diverse channels of domestic and foreign research and development (R&D) on export is assessed in isolation by previous studies. This paper empirically investigates the impact of technological innovation on export capacity and intensity of industrial enterprises in emerging countries by considering three channels of domestic innovation and foreign R&D spillovers, namely internal R&D, embodied knowledge and disembodied knowledge in a unified framework.

Data on China's industrial enterprises in the manufacturing sector are extracted from the China National Bureau of Statistics (NBSC), the Ministry of Science and Technology of China (MST) and the UN Comtrade database for the period from 1998 to 2020. The instrumental variables two-stage least squares (IV-2SLS) and three-stage least squares (IV-3SLS) methods are used to control for the possible endogeneity bias and the problem of cross-equation correlation between residuals.

The results show that internal R&D is a critical factor to enhance the export performance of enterprises in emerging countries, while the effect of embodied spillovers and public–private collaboration on export capacity and intensity of industrial enterprises is substantial. Further, disembodied knowledge that is acquired through licensing of technology from advanced countries does not directly contribute to the export performance of enterprises but requires a threshold level of internal R&D capability. This study’s results also report a greater effect of embodied knowledge spillovers on export capacity and export intensity than internal R&D in emerging countries. The results are consistent to changes in the sample period and the estimation methods. The findings of the paper suggest that developing countries can speed up the process of export upgrading by relying on both domestic and foreign R&D efforts.

The findings would help policymakers to keep in mind the relative importance of internal R&D and embodied and disembodied knowledge spillovers for export performance before formulating a catch-up strategy and the outcome would encourage them to consider prior related knowledge in terms of internal R&D capability while acquiring external technology.

This study fills the gap in the existing literature by providing empirical validation of the innovation–export interplay and simultaneously assessing the effect of three diverse channels of technological innovation on the export performance of industrial enterprises. This paper enunciates important policy lessons for emerging countries' smooth transition to a knowledge-based economy.

Recent research has captured the impact of the COVID-19 pandemic in widening gender inequalities, by highlighting that academic women have been disproportionately affected. During the COVID-19 pandemic, women assumed most of the care labour at home, whilst working at normal patterns, leaving them unable to perform as normal. This is very concerning because of the short and long-term detrimental consequences this will have on women’s well-being and their academic careers. This article aims to stimulate a change in the current understandings of academic work by pointing towards alternative – and more inclusive – ways of working in academia.

The two authors engage with autoethnography and draw on their own personal experience of becoming breastfeeding academic mothers throughout the COVID-19 pandemic.

To understand the positioning of contemporary academic mothers, this study draws on insights from both cultural studies and organisation studies on the emergence of discursive formations about gender, that is “postfeminist sensibility”. Guided by autoethnographic accounts of academic motherhood, this study reveals that today academia creates an individualised, neutral (disembodied), output-focused and control-oriented understanding of academic work.

This paper adds to the conversation of academic motherhood and the impact of the pandemic on working mothers. The study theoretically contributes with the lens of “motherhood” in grasping what academic work can become. It shows the power of motherhood in opening up an alternative way of conceptualising academic work, centred on embodied care and appreciative of the non-linearity and messiness of life.

The purpose of this study is to reflect on and analyse the sensory experiences related to the transition to remote work during the COVID-19 pandemic. The research seeks to understand how these experiences have influenced the integration of work practices into home and family life and the subsequent adaptations and embodied learning that arise in response.

The authors' research approach incorporates autoethnographic methods to explore the sensory, affective and emotional experiences of transitioning to remote work. The authors draw on principles of embodied learning, as influenced by Gilles Deleuze, and utilise a range of ethnographic tools including note-taking, audio memos, photography, shared conversations and written reflections to gather their data.

The study illuminates the ways bodies learn to accommodate the new organisational contexts that arise when the spaces, affects and forces of home and work intersect. It demonstrates how the integration of work into the private domain resulted in new affective and material arrangements, involving novel sensory experiences and substantial embodied learning.

This study provides a distinct, sensory-oriented perspective on the challenges and transformations of remote work practices amid the pandemic. By focussing on the affective resonances and embodied learning that emerge in this context, it contributes to the emerging discourse around post-lockdown work practices and remote work in general.

The purpose of this study is to analyze state-of-the-art knowledge of artificial intelligence (AI) research in hospitality.

This study adopts the theory-context-methods framework to systematically review 100 AI-related articles recently published (i.e. from 2021 to April 2023) in three top-tier hospitality journals, namely, the International Journal of Contemporary Hospitality Management, International Journal of Hospitality Management and Journal of Hospitality Marketing and Management.

Findings suggest that studies of AI applications in hospitality are mostly theory-driven, whereas most AI methods research adopts a data-driven approach. State-of-the-art AI applications research exhibits the most interest in service robots. In AI methods research, little attention was paid to the amid-service/experience.

This study reveals inadequacies in theory, context and methods in contemporary AI research. More research from hospitality suppliers’ perspectives and research on generative AI applications are advocated in response to the unveiled research gaps and recent AI developments.

This study classifies the most recent AI research in hospitality into two main streams – AI applications research and AI methods research – and discusses the gaps in each research stream and latest AI developments. The paper then suggests future research directions to guide researchers in advancing AI research in hospitality.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

Avatars, which are used as a technology and marketing tactic, can embody consumer-facing employees and mimic their real-life roles on companies' websites, thereby playing a key role in enhancing the relationships between consumers and brands in the online environment. Academics and practitioners have increasingly acknowledged the significance of the consumer-brand relationship in both traditional and online contexts. However, the impersonal nature of the online environment is considered to be a hindrance to the development of these relationships. Despite the importance of this technology, little attention has been paid to the investigation of the avatar concept from a marketing perspective. This paper explores the nature of the avatar concept, including its main characteristics, dimensions, and conditions as well as the attitudinal and behavioural consequences of avatar users.

Adopting the qualitative design, a taxonomy was developed from interviews. In total, 42 interviews were conducted with current university students. 30 participants participated in the exploratory interviews. A total of 12 interviews were conducted during the in-depth stage based on findings in the preceding research.

Based on the qualitative data analysis, a taxonomy was developed. The idea of the taxonomy is summarized in that different dimensions of the avatar are considered the main base (first phase) of the taxonomy. There are consequential three parts: the attitudinal consequences related to the website; the attitudinal consequences related to the brand; the behaviours towards the brand. These behaviours represent the final phase of the taxonomy.

By developing a taxonomy of using avatars on brands' websites, the authors advance the understanding consumer-brands relationships. Using avatars' verbal interactions helps in shaping consumers' cognitive, affective, attitudinal and behavioural responses and add vital empirical evidence to the increasing body of research and practices involving avatar usage in the interactive marketing area.

This study explores the evolving dynamics of participatory accountability within humanitarian contexts, where digitally connected crisis-affected populations demand better accountability from aid organisations, and as a result, shift traditional hierarchies and relationships between humanitarian agencies and beneficiaries.

This study employs a case study approach, focussing on the International Committee of the Red Cross (ICRC), to investigate how participatory accountability manifests outside formal practices and re-emerges in social media spaces. The study analyses internal organisational challenges and explores the implications of digital platforms on humanitarian practices. The authors employ Chouliaraki and Georgiou's (2015, 2019, 2022) networks of mediation, particularly intermediation and transmediation, to understand how digital expressions translate to offline contexts and reshape meanings and actions.

The study reveals that social media platforms enable beneficiaries to demand participatory accountability beyond traditional practices, democratising humanitarian response and challenging power structures. These effects are multifaceted, introducing enhanced democratic and inclusive humanitarian aid as well as new vulnerabilities. Digital intermediaries and gatekeepers play pivotal roles in curating and disseminating crisis-affected voices, which, when transmediated, result in nuanced meanings and understandings. Positive effects include capturing the potential of digital networks for democratic aid, while negative effects give rise to moral responsibilities, necessitating proactive measures from the ICRC.

This study contributes to the literature by highlighting the impact of digital technology, particularly social media, on participatory accountability. It expands the understanding of the evolving landscape of accountability within the humanitarian sector and offers critical insights into the complexities and dual purposes of participatory accountability in contexts of resistance. Employing Chouliaraki and Georgiou's networks of mediation adds depth to the understanding of digital technology's role in shaping participatory practices and introduces the concept of transmediation as a bridge between digital expressions and tangible actions.

There is a lack of clarity about what constitutes Science, Technology, Engineering, Arts and Mathematics (STEAM) education and what the arts contribute. In this paper the authors discuss a distinct model, theorised from a five-year study of a particular, innovative STEAM education project (The Imagineerium), and developed by the researchers through working with primary school teachers in England within a second project (Teach-Make). The paper examines how teachers implemented this model, the Trowsdale art-making model for education (the TAME), and reflected on its value and positive impact on their planning and pedagogy.

The paper draws on two studies: firstly, a five-year, mixed methods, participative study of The Imagineerium and secondly a participative and collaborative qualitative study of Teach-Make.

Study of The Imagineerium showed strong positive educational outcomes for pupils and an appetite from teachers to translate the approach to the classroom. The Teach-Make project showed that with a clear curriculum model (the TAME) and professional development to improve teachers' planning and active pedagogical skills, they could design and deliver “imagineerium-like” schemes of work in their classrooms. Teachers reported a positive impact on both their own approach to supporting learning, as well as pupil progression and enjoyment.

The paper argues that the TAME, a consolidation of research evidence from The Imagineerium and developed through Teach-Make, offers both a distinctive and effective model for STEAM and broader education, one that is accessible to, valued by and manageable for teachers.

Drawing on an intersectional perspective on racial, migrant and entrepreneurial identities, this paper investigates the identity work of racial minority entrepreneurs with native-born and migrant backgrounds, confronted to experiences of othering in a White entrepreneurial ecosystem.

The study takes a qualitative-interpretivist approach and builds on six cases of racial minority entrepreneurs in nascent stages of venture development within the Dutch technology sector. The dataset comprises 24 in-depth interviews conducted over the course of one and a half year, extensive case descriptions and online sources. The data is thematically and inductively analysed.

Despite strongly self-identifying as entrepreneurs, the research participants feel marginalised and excluded from the entrepreneurial ecosystem, which results in ongoing threats to their existential authenticity as they build a legitimate entrepreneurial identity. Minority entrepreneurs navigate these threats by either downplaying or embracing their marginalised racial and/or migrant identities.

The study contributes to the literature on the identity work of minority entrepreneurs. The paper reveals that, rather than “strategising away” the discrimination and exclusion resulting from othering, racial minority entrepreneurs seek to preserve their sense of existential authenticity and self-worth, irrespective of entrepreneurial outcomes. In so doing, the study challenges the dominant perspective of entrepreneurial identity work among minority entrepreneurs as overly instrumental and market-driven. Moreover, the study also contributes to the literature on authenticity in entrepreneurship by highlighting how racial minority entrepreneurs navigate authenticity threats while building legitimacy in a White ecosystem.

Artificial intelligence (AI) agents have been increasingly applied in the tourism and hospitality industry. However, AI service failure is inevitable. Thus, AI service recovery merits empirical investigation. This study aims to explore how AI empathic accuracy affects customers’ satisfaction in the context of AI service recovery.

A moderated mediation model was presented to describe the effect of empathic accuracy on customer satisfaction via four scenario-based experiments.

The results reveal the positive impact of AI empathic accuracy on customer satisfaction and the mediating effects of perceived agency and perceived experience. Moreover, anthropomorphism moderates the empathic accuracy effect.

This paper expanded AI service studies by exploring the significance of empathic accuracy in customer recovery satisfaction. The results provide a novel theoretical viewpoint on retaining customers following AI service failure.

人工智能（AI）设备已越来越多地应用于旅游业和酒店业。然而, AI服务失败是不可避免的。因此, AI服务补救值得进一步实证研究。本研究探讨了AI共情准确性如何影响顾客对AI服务补救的满意度。

通过四个基于场景的实验, 提出了一个有调节的中介模型来描述共情准确性对顾客满意度的影响。

结果揭示了AI共情准确性对顾客满意度有积极影响, 感知能动性和感知感受性具有中介效应。此外, 拟人化调节了共情准确性的效应。

本文通过探讨共情准确性在顾客服务补救满意度中的作用, 拓展了AI服务研究。研究结果为AI服务失败后如何留住顾客提供了新的理论视角。

Las agentes de inteligencia artificial (IA) se aplican cada vez más en el sector del turismo y la hostelería. Sin embargo, los fallos de los servicios de IA son inevitables. Por lo tanto, la recuperación de servicios de IA merece una investigación empírica. Esta investigación explora cómo la precisión empática de la IA afecta a la satisfacción de los clientes con la recuperación del servicio de IA.

Se presentó un modelo de mediación moderado para describir el efecto de la precisión empática en la satisfacción del cliente mediante cuatro experimentos basados en escenarios.

Los resultados revelan el impacto positivo de la precisión empática de la IA en la satisfacción del cliente y los efectos mediadores de la agencia percibida y la experiencia percibida. Además, el antropomorfismo modera el efecto de la precisión empática.

Este artículo amplía los estudios sobre los servicios de IA al investigar el papel de la precisión empática en la satisfacción del cliente. Los resultados aportan un punto de vista teórico novedoso sobre la retención de clientes tras el fallo de un servicio de IA.