It is now widely recognized that the emotional dimension of products and services is a critical success factor in many sectors. Generating products with significant emotional features is a complex challenge, as professionals responsible for designing and developing new products should be able to focus the design effort on eliciting specific emotions. But how do designers prepare themselves to convey emotions through the products they design? How do they know how to provoke certain emotions? To obtain the benefits that the knowledge of emotions can bring when it is integrated into the design process, professionals need to be assisted with approaches to apply the knowledge of emotions systematically and strategically.

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.

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.

Social media has become vital in Generation Z users' daily lives, as they are the most connected group through social media; however, studies have shown the negative side of using social media heavily, particularly loneliness. Furthermore, the COVID-19 pandemic has contributed to the significant growth of social media use with Generation Z users, which has shown to cause negative psychological effects.

Economics has the power to make the world a better, happier and safer place: this book shows you how

The “new science of morality” that will change how we see each other, how we build our communities, and how we live our lives.

This book addresses the emerging field of neuromarketing, which, at its core, aims to better understand the impact of marketing stimuli by observing and interpreting human emotions. It includes contributions from leading researchers and practitioners, venturing beyond the tactics and strategies of neuromarketing to consider the ethical implications of applying powerful tools for data collection. The rationale behind neuromarketing is that human decision-making is not primarily a conscious process. Instead, there is increasing evidence that the willingness to buy products and services is an emotional process where the brain uses short cuts to accelerate the decision-making process.