He Kai, Chan Lyu, Svenja Damberg, Tao Ye, Cornelius Herstatt, Yide Liu
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引用次数: 0
Abstract
This study delves into a pressing issue in the restaurant industry: the challenge of catering copycats, which are unauthorized imitations of menu items and services that can lead to lost market share and hinder innovation. Focusing on Chinese restaurants, it employs multi-wave surveys and analyzes 929 responses to investigate the impact of copycat threats on innovation. The study reveals both linear and nonlinear effects of these threats, highlighting the role of customer and supplier co-creation as mediators. It underscores the importance of understanding how different types of restaurants vary in their innovative responses to imitation. The research enriches the behavior of the firm theory by demonstrating how restaurants can proactively drive innovation in the face of imitation. It extends the applicability of value co-creation theory, illustrating the role of interactions with suppliers and customers in shaping innovative strategies, thereby enhancing dynamic capabilities to adapt to market demands and changes.
期刊介绍:
International Journal of Tourism Research promotes and enhances research developments in the field of tourism. The journal provides an international platform for debate and dissemination of research findings whilst also facilitating the discussion of new research areas and techniques. IJTR continues to add a vibrant and exciting channel for those interested in tourism and hospitality research developments. The scope of the journal is international and welcomes research that makes original contributions to theories and methodologies. It continues to publish high quality research papers in any area of tourism, including empirical papers on tourism issues. The journal welcomes submissions based upon both primary research and reviews including papers in areas that may not directly be tourism based but concern a topic that is of interest to researchers in the field of tourism, such as economics, marketing, sociology and statistics. All papers are subject to strict double-blind (or triple-blind) peer review by the international research community.