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The purpose of this paper is to examine stakeholder power and engagement within an increasingly competitive English seaside resort setting. It aims to adopt a structuralist and functionalist perspective and develop an enabling conceptualisation of power that incorporates structural and agency components in stakeholders’ reasons for engaging. Based on the conceptual interdependencies between stakeholder power and engagement, this study aims to present the limitations of previous studies on destination leadership in this area, and this paper also seeks to discuss implications for destination leadership.

As a qualitative and exploratory study, mixed-method research was adopted using questionnaires and semi-structured interviews with destination stakeholders from a prominent tourism action group. The primary research was carried out in an English seaside resort between 2010 and 2011. Data are used to draw a stakeholder map as a visual tool.

Eight elements of enabling power are confirmed to be of importance in identifying stakeholder power and engagement. The level of power varies depending on stakeholders’ position within a network. These findings direct attention towards adopting a complexity leadership approach in an increasingly competitive destination environment.

The paper focuses on an English seaside resort, although results can be transferred to other similar-sized destinations where the focus is on local tourism policy development.

The paper provides an innovative conceptualisation of power in stakeholder theory by drawing primarily on a sociological understanding of power as an enabler and not as an inhibitor for development, leadership and change in seaside resorts. This paper uses leadership theories to interpret data and infer implications for destination leadership.

Anthropomorphism plays a crucial role in the deployment of human-like robots in hospitality and tourism. This study aims to propose an anthropomorphism-based typology of artificial intelligence (AI) robots, based on robot attributes, usage, function and application across different operational levels.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) checklist, the research was conducted in two stages. A search strategy was implemented to explore anthropomorphism-based AI robots and to develop a robot typology.

This study provides a comprehensive typology of anthropomorphism-based AI robots used in tourism and hospitality and classifies them into four types, namely, chatbots, mechanoids, humanoids and android robots. Each type features distinct functions and applications.

The findings can assist companies in using anthropomorphic robots to improve service and strengthen competitiveness. This study offers valuable insights to managers for deploying AI robots across diverse service sectors.

This research provides a novel typology of hospitality and tourism AI robots and extends the understanding of anthropomorphism in human–robot interaction. This typology encompasses both virtual and physical robots, providing clarity on their attributes, usage, functions and applications across diverse areas of hospitality operations.

拟人化在酒店和旅游业中的人类化机器人部署中起着至关重要的作用。本研究提出了基于拟人化的AI机器人分类学, 基于机器人的属性、使用、功能和在不同运营层面的应用。

按照系统评价和荟萃分析（PRISMA）检查表, 研究分为两个阶段进行。实施了搜索策略, 探索基于拟人化的AI机器人, 并开发了机器人分类学。

本研究提供了在旅游和酒店业中使用的基于拟人化的 AI 机器人的全面分类学, 并将它们分为四类, 即聊天机器人、机械机器人、人形机器人和仿生机器人。每种类型具有不同的功能和应用。

研究结果可以帮助企业利用拟人化机器人提升服务水平, 增强竞争力。研究为管理者在各种服务领域部署 AI 机器人提供了宝贵的见解。

本研究提供了一种新颖的酒店和旅游业 AI 机器人分类学, 并扩展了拟人化在人机交互中的理解。这种分类学涵盖了虚拟和实体机器人, 清晰地描述了它们在酒店业运营的各个领域中的属性、使用、功能。