Due to the COVID-19 pandemic, sales of fast-food businesses have dropped sharply. Customer satisfaction has always been one key factors for sustainable development enterprises. However, in restaurant business, gaining knowledge customer is critical tasks. Moreover, text reviews social media become important reference sources customers’ decisions buying services and products. Therefore, main purpose this study explore whether voices from are different during outbreak propose a new method...

First-year students’ learning performance has received much attention in educational practice and theory. Previous works used some variables, which should be obtained during the course or progress of semester through questionnaire surveys interviews, to build prediction models. These models cannot provide enough timely support for poor students, caused by economic factors. Therefore, other variables are needed that allow us reach results earlier. This study attempts use family background can...

When a scheduling environment is static and system attributes are deterministic, manufacturing schedule can be obtained by applying analytical tools such as mathematical modelling technology, dynamic programming, the branch- and-bound method or other developed searching algorithms. Unfortunately, usually in real world. A production may vary with time require managers to change repeatedly. Therefore, main aim here was find that could reduce need for rescheduling. An approach called Functional...

Abstract The theory of attractive quality (the Kano model) can offer a better understanding how customers evaluate products, and helps practitioners to focus on the most important attributes improve. However, in practice, users model usually cannot find an or one-dimensional element due improperly-designed questionnaire, poorly-defined lifecycle attributes. also indicated that creation bring must-be product back is tough task. To solve these issues, this study proposed novel Creativity-based...

The development of social media has changed the way that travelers visit sightseeing spots. Internet Things (IoT) allows products to automatically generate posts, share content and location information, help build an online community users based on their company's products, so marketing personnel can also get useful feedback understand user's opinions. In tourism hospitality industry, enhance revisit intention passengers is important issue for purpose increasing margin. recent years, related...

Programmatic buying has attracted growing interest from manufacturers and become a driving force behind the growth of digital advertising. Among various formats, mobile advertisements (ads) have emerged as preferred choice over traditional ones due to their advanced automation, adaptability, cost-effectiveness. Despite increasing adoption, academic research on ads remains relatively limited. Unlike conventional statistical analysis techniques, proposed feature selection methods eliminate...

Haze-level discriminators are highly desirable for autonomous vehicles to handle segmentation tasks successfully in hazy and foggy outdoor environments. Neural networks trained detect clear images show more false positives unrecognize the pixel patterns class categories when they encounter images. Here, we propose a novel dehazing scheme called Adaptive Dehazing (AD) which can separate unacceptable apply technique only those before passing it neural network segmentation. Various thresholds...

Purpose The Bed and Breakfast (B&B) enterprises generally lack sufficient human resources time to conduct research on important social media marketing factors for visitors’ satisfaction intentions. Therefore, this study aims provide crucial service quality elements improving customer loyalty in B&B sectors. This also provides some recommendations attracting more visitors increasing through media. Design/methodology/approach First, were identified the systematic literature review....