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In view of the influences of online videos on the cultural tourism industry, this study aims to explore the mechanisms triggered by watching online video behaviors of fans. This study examines how fans who have watched celebrities’ online videos become tourists who attend concerts held at destinations based on celebrity and destination endorsements.

This study builds for celebrity and destination endorsements on online videos by combining media richness and source model theory. This research adopts partial least squares structural equation modeling to analyze the mechanism triggered by online media.

Watching online media influences celebrity and destination endorsements, which, in turn, affects the concert experience and intention to return to the destination. Results reveal less intertwined relationships between celebrity and destination endorsements and the complex mechanisms between the two endorsements.

With the rise in popularity of online media, online content has become a major source of information in the tourism industry and a means of enjoying travel seamlessly. This study highlights not only the role of “watching online videos” as one of the richest media but also the role of live concerts in cultural tourism for understanding complex cultural tourism.

为了探讨在线视频对文化旅游业的影响, 本研究探讨了观看在线视频所触发旅游行为的机制。本研究考察了在名人和景区的宣传下, 观看名人在线视频的粉丝如何成为参加目的地举办的演唱会的旅游者。

基于媒体丰富度和来源模型理论, 本研究调查了名人与景区的宣传视频。本研究采用partial least squares（PLS）结构方程建模来分析在线媒体所引发的机制。

观看在线媒体影响了名人和目的地宣传效应, 进而影响了演唱会的体验和到访目的地的意愿。研究结果揭示了名人和目的地宣传之间的关系并不紧密, 这两种宣传之间存在着复杂的机制。

随着在线媒体的普及, 在线内容已成为旅游业中信息的主要来源和享受旅游的手段。本研究不仅突出了“观看在线视频”作为最丰富的媒体之一的作用, 也突出了演唱会在文化旅游中的功能, 以更全面地理解复杂的文化旅游。

The pressing issues of climate change and environmental degradation call for a reevaluation of how we approach economic activities. Both leaders and corporations are now shifting their focus, toward adopting practices and embracing the concept of circular economy (CE). Within this context, the Food and Beverage (F&B) sector, which significantly contributes to greenhouse gas (GHG) emissions, holds the potential for undergoing transformations. This study aims to explore the role that Artificial Intelligence (AI) can play in facilitating the adoption of CE principles, within the F&B sector.

This research employs the Best Worst Method, a technique in multi-criteria decision-making. It focuses on identifying and ranking the challenges in implementing AI-driven CE in the F&B sector, with expert insights enhancing the ranking’s credibility and precision.

The study reveals and prioritizes barriers to AI-supported CE in the F&B sector and offers actionable insights. It also outlines strategies to overcome these barriers, providing a targeted roadmap for businesses seeking sustainable practices.

This research is socially significant as it supports the F&B industry’s shift to sustainable practices. It identifies key barriers and solutions, contributing to global climate change mitigation and sustainable development.

The research addresses a gap in literature at the intersection of AI and CE in the F&B sector. It introduces a system to rank challenges and strategies, offering distinct insights for academia and industry stakeholders.

Of critical concern to the world is the need to reduce consumption and waste of natural resources. This study provides a multi-level exploration of the ways situational and transformational links between levels and challenges are related to the adoption and utilization of material flow cost accounting in Vietnam, to encourage green productivity.

Based on triangulation of public documents at different institutional levels and a set of semi-structured interviews, situational and transformational links and challenges for material flow cost accounting in Vietnam are examined using purposive and snowball sampling of key actors.

Using a multi-level framework the research identifies six situational and transformational barriers to implementation of material flow cost accounting and suggests opportunities to overcome these. The weakest links identified involve macro-to meso-situational and micro-to macro-transformational links. The paper highlights the dominance of meso-level institutions and lack of focus on micro transformation to cut waste and enable improvements in green productivity.

The paper identifies ways for companies in Vietnam to reduce unsustainability and enable transformation towards sustainable management and waste reduction.

The paper is the first to develop and use a multi-level/multi-time period framework to examine the take-up of material flow cost accounting to encourage transformation towards green productivity. Consideration of the Vietnamese case builds understanding of the challenges for achieving United Nations Sustainable Development Goal number 12, to help enable sustainable production and consumption patterns.