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Megaprojects are known as complex projects that involve high levels of uncertainty. This interpretive study explores and portrays perceived complexity in mega construction projects by lived experiences of project managers.

This study utilises a ground theory approach to analyse data gathered from semi-structured interviews with 18 professionals involved in 11 megaprojects.

Complexity in mega construction projects is defined as a project property that stems from the interaction of project features, uncertain variables/conditions, and managerial actions forming a pattern, which emerges over time, based on the reflections of construction practitioners.

This study defines complexity based on the reflections of the practitioners in the construction industry and uniquely identifies complexity patterns that may have implications for project management, particularly risk management.

This study is set out to assess the country of origin effect on Turkish consumption practices in order to provide a richer context for its formation process.

The research is exploratory and interpretative in nature. It follows a qualitative design with in-depth analysis of consumption experiences by utilizing semi-structured interviews.

The research shows that country of origin effect is product specific, and when it exists, it has an essential effect on product evaluations. It reveals that the country of origin effect is intrinsically constituted with the individual perceptions of and attitudes toward brands, countries, and past experiences, and it is extrinsically constituted with socially created perceptions by media, marketplace myths, and popularity.

This research investigated country of origin effect in a specific context of a developing country with a qualitative methodology. Unlike the existing literature, this study analyzes consumers’ actual purchase decisions in different product categories. Country of origin effect is found to be formed by individual and societal factors.

In recent years, with the development of technology, the number of contact points between companies and their customers has multiplied. From the company point of view, companies may reach their customers through multiple marketing channels. Moreover, business intelligence necessitates increasing data sources, strengthening the power of analysis tools, and developing knowledge to be used as a competitive advantage. On the other hand, today’s mostly digitized customers expect more than just commoditized products or services. Customer activation creates experiences that make them feel strong as agents perpetrating the structure (brand strategies) by taking an active role instead of being passive. In other terms, customers are in the main decision position to plan the structure. Thus, companies should design unique and memorable customer experiences through different channels in an integrated way, which is called omnichannel. Omnichannel customer experience management is possible by determining and coordinating customer touch points. In other terms, a melody should exist at these interaction points. This book aims to contribute to this advancement by first providing general reviews of the literature, then covering the pillars to design omnichannel customer experiences, and lastly providing technology-enhanced applications from several industries. This book aims also to provide fresh conceptual insights and thinking about the ways to design and develop omnichannel customer experiences.

In a pandemic framework (COVID-19), this chapter explores the impact of the global economy and socio-cultures concerning three axes: recreational, tourism, and hospitality. Although we slowly see an economic revival, it is well known that this sector of study is very susceptible to being affected by the context of nations. Following restrictions and measures taken by governments around the world to reduce the number of cases of coronavirus infections, many nations closed their borders, affecting international travel and by 2020 tourism had been reduced to the near cessation of operations due to the imminent fear of this poorly studied disease, and the service sector was negatively affected. It should be added that, according to the World Tourism Organization's projections, a decrease of between 20 and 30% is forecast for 2020 compared to the previous year.