As industrialisation continues to evolve, exacerbating environmental problems such as global warming and climate change have raised the concern across the globe. Road transport is primarily the most notable source of pollution in the world. With the sophistication in environmental technology, a variety of environmentally friendly products have been introduced in the market and hybrid vehicle is highly recommended. However, in Malaysia automotive market demand for hybrid vehicle is still considered very low compared to non-hybrid vehicles and thus to conduct a study on consumer’s adoption toward hybrid car is timely. The study investigated the relationships between marketing mix (4Ps), environmental concern, governmental incentive and purchase intention of hybrid car in Malaysia. A total of 372 valid samples were collected using convenience sampling technique. The Structural Equation Modelling (SEM) by using Smart-PLS was employed to investigate the significance of individual path correlations, measurement model, and overall fit of structural model. The results of the study revealed that marketing mix (4Ps), governmental incentive, attitude, subject norm and perceived behavioural control showed a significant and positive relationship with hybrid car purchase intention. In addition environmental concern exhibits the moderation effect among those relationships.

As industrialisation continues to evolve, exacerbating environmental problems such as global warming and climate change have raised the concern across the globe. Road transport is primarily the most notable source of pollution in the world. With the sophistication in environmental technology, a variety of environmentally friendly products have been introduced in the market and hybrid vehicle is highly recommended. However, in Malaysia automotive market demand for hybrid vehicle is still considered very low compared to non-hybrid vehicles and thus to conduct a study on consumer's adoption toward hybrid car is timely. The study investigated the relationships between marketing mix (4Ps), environmental concern, governmental incentive and purchase intention of hybrid car in Malaysia. A total of 372 valid samples were collected using convenience sampling technique. The Structural Equation Modelling (SEM) by using Smart-PLS was employed to investigate the significance of individual path correlations, measurement model, and overall fit of structural model. The results of the study revealed that marketing mix (4Ps), governmental incentive, attitude, subject norm and perceived behavioural control showed a significant and positive relationship with hybrid car purchase intention. In addition environmental concern exhibits the moderation effect among those relationships.

This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results

This book presents essential new governance structures to embrace and regulate smart mobility modes. Drawing on a range of case studies, it paves the way for new approaches to governing future transportation systems. Over the past decades, Information and Communication Technologies have enabled the development of new mobility solutions that have completely redefined traditional and well-established urban transportation systems. Urban transportation systems are evolving dramatically, from the development of shared mobility modes, to the advent of electric mobility, and from the automated mobility trend to the rapid spread of integrated transportation schemes. Given the disruptive nature of those new mobility solutions, new governance structures are needed. Through a series of case studies from around the world, this book highlights governance and regulatory processes having supported, or sometimes prevented, the development and implementation of smart mobility solutions (shared, automated, electric, integrated). The combination of chapters offers a comprehensive overview of the different research endeavours focusing on the governance of smart transportation systems and will help pave the way for this important subject, which is crucial for the future of cities.

This book provides a comprehensive introduction to the issues, concepts and theories through which people have tried to understand consumer culture throughout the modern period, and puts the current state of thinking into a broader context. Thematically organized, the book shows how the central aspects of consumer culture - such as needs, choice, identity, status, alienation, objects, culture - have been debated within modern theories, from those of earlier thinkers such as Marx and Simmel to contemporary forms of post-structuralism and postmodernism. This approach introduces consumer culture as a subject which - far from being of narrow or recent interest - is intimately tied to the central issues of modern times and modern social thought. With its reviews of major theorists set within a full account of the development of the subject, this book should be of interest to undergraduate and postgraduate students in the many disciplines which now study consumer culture, including communications and cultural studies, anthropology and history.

The adoption of electric cars is considered a solution for promoting energy conservation and reducing air pollution. However, electric car purchasing in developing countries is currently at a nascent stage. More research is required to see if environmental factors do matter in the consumer's decision to purchase an electric car. This study aims to examine the relationship between environmental factors and behavioral intention to purchase electric cars in Indonesia. The study recruited 300 respondents from five major areas of Java Island who are aware of electric cars but currently owned only non-electric cars. The study integrated the theory of planned behavior and the norm activation model to analyze the data. The findings suggest that perceived behavioral control plays a key role in mediating the effect of environmental factors on the intention to purchase electric cars. The awareness of consequences and ascription of responsibility also influence personal norms which affect the purchase intention. The study concludes that environmentalism factors do contribute to the purchase intention of electric cars, but it is mediated by perceived behavioral control. Additionally, non-environmental factors such as affordability and convenience also play a crucial role.

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

This illustrated history chronicles electric and hybrid cars from the late 19th century to today's fuel cell and plug-in automobiles. It describes the politics, technology, marketing strategies, and environmental issues that have impacted electric and hybrid cars' research and development. The important marketing shift from a "woman's car" to "going green" is discussed. Milestone projects and technologies such as early batteries, hydrogen and bio-mass fuel cells, the upsurge of hybrid vehicles, and the various regulations and market forces that have shaped the industry are also covered.

Product sales, especially for new products, are influenced by many factors. These factors are both internal and external to the selling organization, and are both controllable and uncontrollable. Due to the enormous complexity of such factors, it is not surprising that product failure rates are relatively high. Indeed, new product failure rates have variously been reported as between 40 and 90 percent. Despite this multitude of factors, marketing researchers have not been deterred from developing and designing techniques to predict or explain the levels of new product sales over time. The proliferation of the internet, the necessity or developing a road map to plan the launch and exit times of various generations of a product, and the shortening of product life cycles are challenging firms to investigate market penetration, or innovation diffusion, models. These models not only provide information on new product sales over time but also provide insight on the speed with which a new product is being accepted by various buying groups, such as those identified as innovators, early adopters, early majority, late majority, and laggards. New Product Diffusion Models aims to distill, synthesize, and integrate the best thinking that is currently available on the theory and practice of new product diffusion models. This state-of-the-art assessment includes contributions by individuals who have been at the forefront of developing and applying these models in industry. The book's twelve chapters are written by a combined total of thirty-two experts who together represent twenty-five different universities and other organizations in Australia, Europe, Hong Kong, Israel, and the United States. The book will be useful for researchers and students in marketing and technological forecasting, as well as those in other allied disciplines who study relevant aspects of innovation diffusion. Practitioners in high-tech and consumer durable industries should also gain new insights from New Product Diffusion Models. The book is divided into five parts: I. Overview; II. Strategic, Global, and Digital Environments for Diffusion Analysis; III. Diffusion Models; IV. Estimation and V. Applications and Software. The final section includes a PC-based software program developed by Gary L. Lilien and Arvind Rangaswamy (1998) to implement the Bass diffusion model. A case on high-definition television is included to illustrate the various features of the software. A free, 15-day trial access period for the updated software can be downloaded from http://www.mktgeng.com/diffusionbook. Among the book's many highlights are chapters addressing the implications posed by the internet, globalization, and production policies upon diffusion of new products and technologies in the population.