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Inner city centers not only provide opportunities for shopping, dining, and entertainment, but with their lively atmosphere and other vital attributes, also create attractive destinations for residents and tourists alike. However, inner city retailing, potentially the most important reason to visit an inner city, is facing serious competition from e-commerce and out-of-town shopping malls. Dying inner city centers have become a severe issue in recent years, worldwide. To counteract this devastating trend and ensure the vitality and viability of inner city centers, stakeholders from the public and private sectors regularly join their forces in initiatives to strengthen urban structures. However, academic insights into the contribution of retailing on perceived city attractiveness remain sparse. Relying on an extensive data set that combines survey and observational data, the authors are able to quantify a variety of inner city characteristics, ranging from its store and service provider portfolio to its ambience and accessibility, and measure their association with its perceived attractiveness. They show that a city's portfolio of retail stores is not only related to people's perceptions of the city's overall attractiveness but also perceptions of its ambience. However, not all retail categories contribute the same way; while the presence of clothing stores or booksellers is strongly associated with cities' ambience as well as attractiveness, other retail categories such as optometrists or electronics stores are negatively associated with consumers' inner city perceptions. Importantly, these relationships also depend on the size of the focal city. Based on their results, the authors provide important managerial and societal implications on how to leverage the local retailing environment to improve inner city attractiveness. For example, the results may inform (local) governments on which sectors to subsidize in order to attract those store and service provider categories that benefit inner city attractiveness.

The 2013 Central European floods were not only one of the most severe natural disasters in Austria in the last decades, but also constituted a landmark in crisis communication. For the first time, social media and online newspapers were important news channels, creating a need for new crisis communication strategies. Based on 20 semi-structured interviews and an analysis of online data, we reconstruct in this chapter the online communication of different stakeholders such as the authorities, rescue organisations and journalists during this emergency situation. The study shows that the use of social media was a weak point in official crisis communication. Through detailed analyses of information flows and the requirements of different stakeholders, the study reveals new challenges and possibilities for crisis communication in the digital age.

The purpose of this study is to show how franchisor characteristics influence franchisee failure. To achieve this aim, we developed a heuristic model using the methodology and power of predictive analytics.

The authors use data from the World Franchising Council’s and from the Small Business Administration (SBA). The data cover 271 diverse USA franchise chains that are present in both databases.

The model predicts potential defaults of SBA-backed loans issued to American franchisees, and the authors identify 13 variables that help explain franchisee failure.

The authors offer guidance for stakeholder groups – lenders, franchisors and franchisees – to minimize the risk of lending and business failure.

The paper contributes to the franchising literature by considering parent firms’ characteristics to predict franchisee failure.