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The purpose of this paper is to investigate the effects of capacity decisions regarding the number of servers/chefs and tables on identifying a change in the number of wait-related anxious customers, customer losses and customers served to meet the waiting time standards of an actual upscale restaurant.

The authors applied a simulation model to present the consequences of restaurant capacity decisions based on waiting time standards. Arena Simulation Software, licensed by Rockwell Automation, was used for modeling and identifying distributions of the data set provided by the restaurant. An experiment was designed for an upscale restaurant with existing five servers/chefs and 50 tables by changing these resources to measure the changes in customers' wait-related anxiety and other service performance indicators.

The results showed that an additional server/chef on weekends decreases the daily average number of anxious customers by nearly 33% and increases the daily average number of customers served by nearly 3% and has a little positive effect of decreasing customer losses. Table insertion for high- and low-requested seating areas had an only positive effect on decreasing customer losses.

In this study, the service capacity is dependent on waiting time, and it is addressed to study the relationship with customers' wait-related anxiety, which is a subjective metric. This study developed a point of view for identifying anxious customers whose waiting times are much longer than their cooking and delivery duration expectations regarding their meal preferences in the cooking stage and waiting experiences in the service entry.

Introduction: Digitalization has become crucial in our daily lives. The rapid rise of new technologies and high interest levels of individuals enforces companies to invest in these technologies. Nowadays, as customers are willing to try new experiences, companies dynamically start to find new ways to develop their products and services. One of the most popular technologies used by companies to improve their services is the Internet of Things (IoT) technologies. Education, health, transportation, retail, and energy are some of the industries in which the IoT is frequently being used. As security concerns of individuals arose and willingness to remote control increases, innovative and technological projects with IoT applications are engaged in the construction and real estate sector.

Aim: The purpose of this chapter is to explore IoT applications within the new generation smart home systems. In this framework, the effect of IoT technologies on architectural structure of the smart home and operating systems as well as IoT and mobile-supported customer-focused applications and difficulties are analyzed.

Method: The study is designed as an exploratory study. The data are obtained from face-to-face interviews with companies operating on technology-based commercial and residential projects. Descriptive analysis method is used to analyze data. Sample selection was carried out by the judicial sampling technique.

Findings: The results showed that smart home systems offer several customer-oriented experiences to their users like personalized accessibility, comfort, time control, and energy savings. Wired and wireless communication protocols are included in the architecture of the system. Linux core software-based Android and iOS operating systems are used in order to enhance personal accessibility. However, some difficulties are noticed in the sector. Lack of information and internet infrastructure of companies that install electrical set-up are mentioned. Contractors, after sales service support, and customer-oriented applications are evaluated.