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This book explores the challenges in adopting customer relationship management (CRM) models in developing countries, with a focus on Palestine. Examining the cultural, organizational, and technological contexts, it reveals how these factors create adoption gaps, impacting customer pressure, employee engagement, and security. The narrative, enriched by real-world examples from Palestine, underscores the unique hurdles faced by firms in such environments.

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This book is the first comprehensive presentation of a Kaiyu Markov model with covariates and a multivariate Poisson model with competitive destinations. These two models are core techniques when the authors and colleagues conduct their Kaiyu studies. The two models are usually used to forecast the effects of specific urban redevelopment on both the number of visitors and consumer shop-around or Kaiyu movements. Their Kaiyu studies originated from the constructions of a Kaiyu Markov model and the disaggregated hierarchical decision Huff model almost simultaneously around the early 1980s. This book retrospectively reviews how these models have evolved from the start to the present state, and previews the ongoing efforts to make further extensions of these models. The extension of the Huff model started from the disaggregated hierarchical decision Huff model with shop-arounds. In retrospect, the model formulated the consumer’s simultaneous choice of destinations as a joint probability. The mechanism to determine this joint probability was a recursive conditional probability system. Now the Huff model has shifted from joint probability to multivariate frequency Poisson with competitive destinations. On the other hand, the Kaiyu Markov model started from a descriptive model. Because it cannot forecast changes in shop-arounds or consumer Kaiyu behaviors, the Kaiyu Markov model with covariates was developed in which entrance and shop-around choice probabilities are explained by the respective two logit models with covariates such as distances and shop-floor areas. The noticeable point is that it can explain consumers’ probability of quitting their shop-arounds. Thus, the model enables one to evaluate the effects of urban revitalization policy that promotes consumers’ shop-arounds or Kaiyu behaviors. Furthermore, if the Kaiyu Markov model can estimate the actual numbers of flows of consumers’ shop-arounds among shopping sites, the corresponding money flows also can be estimated as economic effects. This book discusses from scratch the evolution of all these topics. Thus this book provides the basics of the Kaiyu Markov model, a tutorial for the theory and estimation of the conditional logit model, and a chapter serving as a practical research manual for forecasting changes caused by urban development based on consumers’ Kaiyu behaviors.

A-Z guide how to conduct market research, analyze your competitors as well as customers

Master: Association rules (MBA) & it's usage, Linear Discriminant Analysis (LDA) for classification & variable selection

A fascinating account of how radical researchers have used experiments to overturn conventional wisdom and shaped life as we know it

„Alexa – wie erreiche ich meine Zielgruppe?“ Alexa und andere Sprachassistenten werden immer populärer und verändern unsere Mediennutzung immens. Unternehmen haben die riesige Chance, die digitalen Assistenten für ihren nachhaltigen wirtschaftlichen Erfolg zu nutzen, denn sie sind mehr als nur ein kurzlebiger Trend.