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The aim of this study is to evaluate the service quality performance of Taiwanese foreign restaurants. After a review of the literature on service quality and discussions with managers of Taiwanese foreign restaurants, we decided to use the DINERSERV questionnaire. The methodology, an...
Persistent link: https://www.econbiz.de/10013141656
In this study, we aimed to investigate the financial implications of website performance on restaurant visitor traffic. It is crucial to address the current challenges faced by the restaurant industry, such as decreasing diner numbers due to rising prices, which can have a negative impact on the...
Persistent link: https://www.econbiz.de/10014496629
Financial indicators are the most used variables in measuring the business performance of companies, signaling about the financial position, comprehensive income, and other significant reporting aspects. In a competitive environment, the performance measurement model allows performing...
Persistent link: https://www.econbiz.de/10012506060
In this study we use machine learning algorithm to test Amareos sentiment indicator's predictive power of market reversals. We then build and test a viable trading strategy.As input for the algorithm, we used eight market sentiment indicators (Anger, Anticipation, Disgust, Fear, Gloom, Joy,...
Persistent link: https://www.econbiz.de/10012991004
Marketing effectiveness has been accepted as one of the most important parts in corporate performance system. It is due to dynamical changes in business environment in after-crisis times. The goal of this paper is the denition of used possible indicators in measuring marketing effectiveness. The...
Persistent link: https://www.econbiz.de/10011437044
Customer relationship management (CRM) plays an important role in ensuring the success of companies. Attracting and retaining valuable, satisfied, and loyal customers are important goals of CRM. The aim of the paper is to highlight the crucial role of the relationship between companies and their...
Persistent link: https://www.econbiz.de/10013040687
This paper predicts the likelihood that a restaurant will close within the next one to two years using a Yelp restaurant dataset and a high dimensional gradient boosting machine called LightGBM (hereafter GBM). This model, trained on more than 20,000 individual restaurants, has an accuracy just...
Persistent link: https://www.econbiz.de/10012848600