十一月 25, 2019

论文代写-餐饮服务的基本元素组成

  论文代写-餐饮服务的基本元素组成,在餐饮服务中,整洁的包装、新鲜的食品等都是一些最基本的元素。无论如何都要满足他们。其次,与元数据相比,这些属性具有更丰富的结果。这些是功能和心理暗示,因此是一个顺序,从只是讨论包装。食物的质量会有功能上的暗示。另一方面,食物的外观、质地、颜色或香气也会有心理暗示。现在在HVM中使用这些元素,就可以理解值了。该值位于元级别,应用程序的数据状态已进入信息阶段。这更多的是餐饮服务的高端,比如关注价值和附加值的管理。同样,也可以说,由于服务周到,满意度和幸福感的价值元素也得到了保证。接下来论文范文论文代写-餐饮服务的基本元素组成分享给留学生阅读。

  So in the catering services, neat packaging, fresh foods and more are some of the most basic elements. They have to be met irrespective of anything. Secondly, these attributes have consequences which are the more informative end compared to the meta data. These are functional and psychological implications and hence are one order up from just discussing about packaging. The quality of food would have a functional implication. And on the other hand, the way the food looks, its texture, its colour or its aroma would have a psychological implication.

  Now using these elements, in the HVM, the value is understood. The value is at the meta level, where the data state for the app has crossed into the information stage. This is more of the higher end in the catering service, such as the management whose concerns are about value and adding value. Similarly, it can be said that the higher level value element of satisfaction and happiness is guaranteed because of courteous service. Where the service is courteous, then it automatically follows that the person requesting the services is satisfied, he is happier. On the other hand, where the courteous service is lacking, then the higher level values for the customer such as that of satisfaction and happiness is not achieved. In essence this is like a neural network where the firing of neurons at the consequences levels will trigger the value level and where consequences level is not triggered then there will be failure at the (customer) value level.

  Marketing would now not look at the basic levels such as that of the constructs, attributes or the consequences, and instead tweaking for successful marketing is now being carried out at the values level. Further iterations in the creation of the graph will fill in any inconsistencies.

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