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Article
Publication date: 10 October 2024

Gus Guanrong Liu, Pierre Benckendorff and Gabby Walters

This paper aims to synthesize the evolving research of human–robot interaction (HRI) in the hospitality and tourism industry, identifying gaps and setting directions for future…

Abstract

Purpose

This paper aims to synthesize the evolving research of human–robot interaction (HRI) in the hospitality and tourism industry, identifying gaps and setting directions for future research.

Design/methodology/approach

Using a mixed-method approach, the study combines inductive co-citation analysis with deductive theory-context-characteristics-methodology analysis.

Findings

The findings trace the progression of HRI knowledge from initial feasibility and acceptance studies to advanced post-adoption experience management. The analysis identifies prevalent theories such as anthropomorphism theory, specific contexts like hotel environments, diverse robot types (e.g. embodied robots), outcome measures (e.g. use intention) and methodologies predominantly comprising survey-based analyses and experimental approaches. The analysis not only illuminates areas of research attention but also uncovers under-explored topics, offering a roadmap for future inquiry in tourism and HRI research.

Originality/value

The paper contributes to the literature by providing a structured framework that not only maps the intellectual structure of HRI research in tourism but also proposes a cohesive integration of disparate theories and methodologies, addressing both practical and academic gaps.

目的

本研究旨在综合分析和综述酒店和旅游行业中的人机交互 (HRI) 研究现状, 以识别当前的知识空白并为未来研究指明方向。

设计/方法/途径

本文采用了结合归纳推理的共引分析和演绎推理的理论-背景-特征-方法论 (TCCM) 框架的混合方法进行分析。

研究发现

研究结果追踪了人机交互研究从初步的可行性和接受性分析到高级的采纳后体验管理的知识发展历程。本文识别并分析了广泛被应用的各个学科理论(例如拟人化理论等)、被研究的具体应用场景(例如酒店环境等)、各类机器人(例如具身化机器人等)、多种结果变量(例如使用意图等)以及被使用的方法论(例如基于调查的分析和实验法等)。本研究不仅揭示了当前研究的重点领域, 而且还指出了尚未被充分探索的主题, 从而为未来的旅游人机交互 (HRI) 研究提供了清晰的研究路线。

原创性/价值

通过提供结构化的研究框架, 本文不仅描绘了旅游领域中人机交互研究的知识结构, 还提出了一个整合不同视觉的新研究框架, 以弥合实践与学术之间的差距。

Propósito

Este artículo tiene como objetivo sintetizar la investigación en evolución sobre la interacción humano-robot (HRI) en la industria de la hospitalidad y el turismo, identificando lagunas y estableciendo direcciones para futuras investigaciones.

Diseño/Metodología/Enfoque

Empleando un enfoque de método mixto, el estudio combina un análisis de cocitación inductivo con un análisis deductivo de Teoría-Contexto-Características-Metodología (TCCM).

Hallazgos

Los hallazgos rastrean la progresión del conocimiento sobre HRI desde estudios iniciales de factibilidad y aceptación hasta la gestión avanzada de experiencias posadopción. El análisis identifica teorías prevalentes como la teoría del antropomorfismo, contextos específicos como los entornos hoteleros, tipos diversos de robots (p. ej., robots encarnados), medidas de resultado (p. ej., intención de uso) y metodologías que comprenden predominantemente análisis basados en encuestas y enfoques experimentales. El análisis no solo ilumina áreas de atención investigativa, sino que también descubre temas poco explorados, ofreciendo una hoja de ruta para futuras investigaciones en turismo e HRI.

Originalidad/Valor

El artículo contribuye a la literatura al proporcionar un marco estructurado que no solo mapea la estructura intelectual de la investigación de HRI en turismo, sino que también propone una integración cohesiva de teorías y metodologías dispares, abordando tanto las brechas prácticas como académicas.

Article
Publication date: 9 January 2024

Simone Pizzi, Fabio Caputo and Elbano de Nuccio

This study aims to contribute to the emerging debate about materiality with novel insights about the signaling effects related to the disclosure of environmental, social and…

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Abstract

Purpose

This study aims to contribute to the emerging debate about materiality with novel insights about the signaling effects related to the disclosure of environmental, social and governance (ESG) information using the guidelines released by the Global Reporting Initiative (GRI) and the Sustainability Accounting Standards Board (SASB).

Design/methodology/approach

An empirical assessment using panel data analysis was built to evaluate the relationship between sustainability reporting standards and analysts’ forecast accuracy.

Findings

The analysis revealed that the proliferation of sustainability reports prepared on mandatory or voluntary basis mitigated the signaling effects related to the disclosure of ESG information by companies. Furthermore, the additional analysis conducted considering sustainability reporting quality and ESG performance revealed the existence of mixed effects on analysts’ forecasts accuracy. Therefore, the insights highlighted the need to consider a cautionary approach in evaluating the contribution of ESG data to financial evaluations.

Practical implications

The practical implications consist of identifying criticisms related to disclosing ESG information by listed companies. In detail, the analysis underlines the need to enhance reporting standards’ interoperability to support the development of more accurate analysis by investors and financial experts.

Social implications

The analysis reveals increasing attention investors pay to socially responsible initiatives, confirming that financial markets consider sustainability reporting as a strategic driver to engage with stakeholders and investors.

Originality/value

This research represents one of the first attempts to explore differences between GRI and SASB using an empirical approach.

Details

Sustainability Accounting, Management and Policy Journal, vol. 15 no. 2
Type: Research Article
ISSN: 2040-8021

Keywords

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