Staff management training in McDonalds

The business environment has evolved and undergone various changes and developments with the passage of time. It is essential for the organisations operating in different industries and sectors to bring changes and developments in their functions, processes, operations, products, and services to meet the needs of customers. In the food industry of New Zealand, it has been found that there are many local and international players competing against each other. McDonald's is one of the leading international fast food chains, which have achieved and retained a strong position in the industry. The research was based on analysing the staff management training difficulties faced by the management of McDonald's at 5 Cross Roads, Hamilton. Analysing the importance of training, it has been found that it is critical for the management of organisations to plan and organise regular training sessions. These must be in accordance with the training needs assessed and identified by management. New and existing employees must be provided with training with the aim of enhancing their capabilities and skills. It is essential to ensure that the employee and the organisation gain benefit from the training. Effective training can help the organisation achieve a high-level of customer satisfaction, which can positively influence the success of the organisation

Generalized Browder's theorem for tensor product and elementary operators

The transfer property for the generalized Browder's theorem both of the tensor product and of the left-right multiplication operator will be characterized in terms of the $B$-Weyl spectrum inclusion. In addition, the isolated points of these two classes of operators will be fully characterized.Comment: 11 pages; original research articl

Answering user queries based on aggregate information

People often consult others in their neighborhood for recommendations regarding specific household needs, such as appliances, furniture, kitchenware, etc. Many common household objects have the capability to connect to the Internet. However, there are no current mechanisms to obtain and present aggregate information about these items, e.g., for geographic neighborhoods. This disclosure describes techniques that use permitted information gathered from smart objects in households in a neighborhood to provide appropriate answers to user queries. The information is obtained with permission of the respective users that own the smart objects and can be incorporated within rule-based and/or machine learning based techniques to generate answers

Advertising based on usage characterization of household appliances

This disclosure describes usage characterization of an appliance (or service) within a household and identification of key decision makers associated with the appliance. Per techniques of this disclosure, with user permission and express consent, use of appliances and services within a household is linked to respective users from within the household. Use of an appliance is identified with the use of voice recognition techniques to analyze voice commands issued via a virtual assistant to respective appliances by different users in the household. An edge connects an appliance to one or more users and indicates usage of the appliance that meets a threshold use by a user. The weight of the edge is indicative of an extent of usage. The weighted graph enables identification of decision makers for different products and services. With user permission, the graph can be utilized to direct advertisements for particular products towards key decision makers