Abstract
The dimensional structure was revealed by the exploratory factor analysis of supply chain management (SCM) scale and total quality management (TQM) scale. The scales applied in the research and construct validity were checked by the confirmatory factor analysis of the dimensions. In the reliability analysis, Cronbach's alpha values and values of composite reliability and convergence reliability were calculated. The relationship between total quality management (TQM) and supply chain management (SCM) was revealed by the correlation analysis. The effect of total quality management (TQM) on the variable of supply chain management (SCM) was tested by the structural equation model applied by implicit variables. And the comparison of total dimensions and sub-dimensions of supply chain management (SCM) scale and of total quality management (TQM) scale as per demographic attributes were analyzed by the independent samples t-test and one-way analysis of variance (ANOVA).
TopTheoretical Framework
Quality gradually became the more dominant attribute of our lives. Today, the people are continuously in the search of abstract concepts such as quality products, quality services, and even quality time for spending with their families. The presence of this desire for quality has caused the industries and institutions in the whole world to develop a philosophy that will be able to provide the quality that their customers require. Managing production, transportation and warehouse operations with data-based decisions by providing end-to-end visibility forms the basis of the digital supply chain.All today's value chains and logistics networks are transforming with the effect of this. Sensors and network connections allow machines, storage systems and equipment, and products to generate continuous signals. The data pools in which these signals are accumulated provide the infrastructure for artificial intelligence-supported automatic decision-making systems.The biggest promise of the industrial Internet is to provide seamless transparency from supplier to customer, processes that transmit signals to each other in a chain, and distributed management initiative free from central administration. All these goals are only possible if a digital supply chain using Logistics 4.0 technologies is established.
Key Terms in this Chapter
Performance: It is a concept that determines the point reached in line with the plans made for a specific purpose, in other words, what has been achieved in terms of quality and quantity.
Healthcare Services: To create a demand for health, to raise the health standard of the society, to take the necessary measures to prevent people from getting sick, to ensure that those who are sick regain their health as soon as possible, they are organizations that ensure the adaptation of sick and disabled people after recovery.
Productivity: It is a measure of converting inputs to output. It is stated that the more the given inputs can be converted into output, the higher the productivity.
Healthcare Businesses: Information about all kinds of public and private sectors related to the health sector.
Supply Chain Management: Logistics activities with the suppliers of the enterprise. It covers the regular provision of functions such as purchasing, category management, planning.
Total Quality Management: It is a management system that must be established in order to meet the needs of the customer in the best way.
Healthcare Organizations: Services provided in hospitals. They are organizations that carry out their activities to ensure patient satisfaction by examining the responsibilities of the hospital by considering the rights of patients and their relatives.