Purpose: This paper uses performance theory to explore how wine-tourism experiences are orchestrated by wine tour guides to encourage engagement of consumers. It describes…
Purpose: This paper uses performance theory to explore how wine-tourism experiences are orchestrated by wine tour guides to encourage engagement of consumers. It describes how such orchestration is built on material elements such as landscapes, architecture, vineyards, production facilities, and wine tastings.
Design/methodology/approach: A multi-layer ethnographic research on wine-tourism was employed. The interviews, observations, and field notes were analyzed through the lens of performance theory. A constant comparative method was used to identify emergent patterns, and a hermeneutic method was used to interpret the data.
Findings: The paper builds on performance theory and delineates the ways in which guides co-create intense experiences with participants. It portrays how tour guides often adjust their theatrical scripts to consumers’ unique needs through creative variations: surprise treats, activities, and personal stories. When guides take pleasure in tours, participants do as well, resulting in memorable co-created experiences. The tours feature processes such as pitching and relation-building techniques that call upon identity, morality, and materiality scripts, which ultimately build a sense of social obligation among participants toward tour guides and winery staff.
Originality/value: From a theoretical perspective, the paper adds value to the discussion of performance in tourism by suggesting that the service blueprint, architecture, and employee training are only part of the story. This paper shows how consumer engagement and interactions between participants, guides, architecture, and landscapes are essential elements of memorable experiences.
Research limitations: Like other studies, there are limitations to our study as well. Our study only included one-day wine tours. A broader investigation of strategic alliances between tour companies and wineries, and how wine tourists experience and sustain a sense of social obligations to the wineries they visit, will provide further insights into how wine-tourism functions as a co-creative emergent form of consumption involving individuals, products, and processes.
This study explores the importance of application search engine (ASE) technology in the omni-channel strategy. For this purpose, this chapter firstly explains the concepts of the omni-channel and the search engines and the importance of them. Then, omni-channel in the framework of ASEs is discussed. Finally, recommendations for further researches are presented.
This study aims to obtained the failure probability distributions of subsystems for industrial robot and filtrate its fault data considering the complicated influencing…
This study aims to obtained the failure probability distributions of subsystems for industrial robot and filtrate its fault data considering the complicated influencing factors of failure rate for industrial robot and numerous epistemic uncertainties.
Design Methodology Approach
A fault data screening method and failure rate prediction framework are proposed to investigate industrial robot. First, the failure rate model of the industrial robot with different subsystems is established and then the surrogate model is used to fit bathtub curve of the original industrial robot to obtain the early fault time point. Furthermore, the distribution parameters of the original industrial robot are solved by maximum-likelihood function. Second, the influencing factors of the new industrial robot are quantified, and the epistemic uncertainties are refined using interval analytic hierarchy process method to obtain the correction coefficient of the failure rate.
The failure rate and mean time between failure (MTBF) of predicted new industrial robot are obtained, and the MTBF of predicted new industrial robot is improved compared with that of the original industrial robot.
Research Limitations Implications
Failure data of industrial robots is the basis of this prediction method, but it cannot be used for new or similar products, which is the limitation of this method. At the same time, based on the series characteristics of the industrial robot, it is not suitable for parallel or series-parallel systems.
This investigation has important guiding significance to maintenance strategy and spare parts quantity of industrial robot. In addition, this study is of great help to engineers and of great significance to increase the service life and reliability of industrial robots.
This investigation can improve MTBF and extend the service life of industrial robots; furthermore, this method can be applied to predict other mechanical products.
This method can complete the process of fitting, screening and refitting the fault data of the industrial robot, which provides a theoretic basis for reliability growth of the predicted new industrial robot. This investigation has significance to maintenance strategy and spare parts quantity of the industrial robot. Moreover, this method can also be applied to the prediction of other mechanical products.