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In the last few decades, the obesity rate has increased along with the increasing of away-from-home food consumption at restaurants (Wei & Miao, 2013), especially the food consumption at quick-service restaurants (QSRs). Previous research stated that the main factors that influence the customers’ food selection are found. Price and quality of food are the most significant things that mostly concerned customers when they are in decision-making process. There is a controversial argument between several studies that identified calorie labelling on menu influences consumers on food choice, while others said vice versa. However, several studies argued that calorie information does not have as much impact on customers’ food purchasing as other factors such as food’s quality, ranges of food, price of food, restaurant’s atmosphere, and speed of food service (Carey & Genevive, 1995). The aim of this chapter is to examine the importance of representing calorie information on menu and its effects on customer decision-making especially at QSRs. Therefore, the following questions have been addressed in this chapter:

What are the factors that influence consumer choice at QSRs?

Does calorie labelling on menus impact customer purchasing at QSRs?

This chapter starts with the introduction of the topic and reviewing previous research on menu labelling and calorie information at QSRs. This chapter aims to provide a better understanding of customer decision-making when ordering a food with regard to calorie information on the menu and the customer preference.

We examine the extent to which food prices and restaurant outlet density are associated with adolescent fruit and vegetable consumption, body mass index (BMI), and the probability of overweight. We use repeated cross-sections of individual-level data on adolescents from the Monitoring the Future Surveys from 1997 to 2003 combined with fast food and fruit and vegetable prices obtained from the American Chamber of Commerce Researchers Association and fast food and full-service restaurant outlet density measures obtained from Dun & Bradstreet. The results suggest that the price of a fast food meal is an important determinant of adolescents’ body weight and eating habits: a 10% increase in the price of a fast food meal leads to a 3.0% increase in the probability of frequent fruit and vegetable consumption, a 0.4% decrease in BMI, and a 5.9% decrease in probability of overweight. The price of fruits and vegetables and restaurant outlet density are less important determinants, although these variables typically have the expected sign and are often statistically associated with our outcome measures. Despite these findings, changes in all observed economic and socio-demographic characteristics together only explain roughly one-quarter of the change in mean BMI and one-fifth of the change in overweight over the 1997–2003 sampling period.

Numerous studies have investigated the customer’s expectations and satisfaction. Due to the prevalence of e-commerce, this study attempts to take a further look at how the design of webpages could influence consumers’ expectations and satisfaction. Both qualitative and quantitative methods are utilized. The customers of TGI Friday’s are selected for empirical validation. The findings show that there was a gap between what consumers actually perceived in the restaurant and the information presented on the website. Marketing implications for restaurateurs along with suggestions for future research are provided in the conclusion section.

This chapter examines the financial performance efficiency of the restaurant sector in Croatian counties over the period 2013–2017. Today's tourists are ambitious explorers who travel in order to find and explore new experiences and motives for travelling as long as there are interesting things, activities and offers which correspond to their preferences. Among the many motives that today's tourist decides to travel, gastronomic tourism certainty plays an important role. The observation period began in 2013, since that was the year when Croatia acceded to the European Union and joined all the other prominent European food destinations. In order to evaluate the financial performance efficiency, the methodology of the data envelopment analysis (DEA) was applied separately to the data processing of each year. The results of the Charnes–Cooper–Rhodes model showed that only four counties (Lika-Senj, Zadar, Istria and Dubrovnik-Neretva) achieved continuous efficiency over the whole observed period. In 2013 the results of scale efficiency showed that 10 counties (Krapina-Zagorje, Karlovac, Bjelovar-Bilogora, Lika-Senj, Požega-Slavonia, Zadar, Šibenik-Knin, Split-Dalmatia, Istria and Dubrovnik-Neretva) achieved a score of 1, and in later years there was a decrease. One of the main obstacles of the existing inefficiencies in the entire restaurant sector in Croatian counties is certainly changeable tax legislation and lack of employees in the restaurant sector.

This chapter draws upon ethnographic observation and walking interviews with private security staff to offer in-depth insight into the hyper-regulation of the city and the lived dynamics of parkour’s inconsistent inclusion and exclusion from urban space. This chapter argues that the street-level governance of urban space is largely incoherent, fractured and characterised by a myriad of conflicting spatial interests. As neoliberalism has privatised and fractured the city into a series of microspheres of spatial sovereignty, there is a lack of any notion of the common urban good; therefore, what should be allowed and prohibited from urban space. This is a manifestation of the broader trend towards post-political forms of governance. It is argued that the confusion and contradiction that surrounds what city spaces should be for actively contributed to the forms of spatial compromise developed between private security and the traceurs.

The stable and predictable agricultural, infrastructure, manufacturing, and energy economies of hard products have been followed by economies that offer softer products such as services, information, knowledge, health care, digitization, networking, globalization, entertainment, sustainability, and currently, well-being and happiness. Such soft market products are loaded with buyer–seller information asymmetries (BSIA) that create market risk, market uncertainty, market chaos, and ambiguity – all of which are specific types of market turbulence. In this context, this chapter investigates the phenomena of turbulence, specifically environmental turbulence whose major subsets are technological turbulence and market turbulence. We cite several recent geopolitical variables and events that have aggravated market turbulence such as Chinese economic invasion of global markets, global climate change, Brexit, international asylum-seeking migrations, artificial intelligence, and demonetization. We also define market turbulence as varied forms of BSIA for which both marketers and consumers must have appropriate joint responsibility. In addition, we focus on ethical and moral marketing responsibilities for reducing BSIA under each type of turbulence.