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Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

In recent years, a great deal of work has emerged on eco-cities in China. Specifically, writers have discussed the role of the entrepreneurial state in the construction of eco-cities and have noted the role of these cities in the production of high-end real estate and new forms of capital accumulation and land acquisition. Whilst this chapter supports these arguments, we argue that the emergence of eco-cities in China is tied up with broader socioeconomic and cultural discourses and discourses of governance. We explore these ideas through a qualitative investigation of an eco-city known as the North Lake (Beihu) Ecological New Town (NLENT) located in the city of Jining, Shandong province. Specifically, this project, which involved the collection of documents, photographs and 20 semi-structured interviews, aims to understand the role that discourses of class, taste and consumption play in the fashioning of Chinese eco-cities. In exploring discourses of ‘green conduct’, this chapter also seeks to understand the role of eco-cities in the governmental fashioning of Chinese subjects and bodies. In this regard, this chapter suggests that whilst new forms of green development have played a part in urban expansion, new green real estate zones such as the NLENT have a powerful role to play in the construction and shaping of Chinese identity and behaviour.

Smog and other environmental effects of accelerated industrialisation are increasingly driving China towards more restorative economic models. One of these is the circular economy (CE), which encourages the design of products and systems that can be returned and the materials recycled, reused or remanufactured. This chapter discusses the experiences with China’s policies for promoting the CE over the past decade as well as future plans. It is based on a thorough review of China’s policies originally available in Chinese. Exemplary CE projects with success stories are also presented. The aim is to present a more comprehensive understanding of China’s CE efforts. Other developing countries also facing environmental and resource challenges can draw on China’s experiences in developing their own CE.

Purpose – This chapter introduces the basic strategy and practice for developing a sustainable transportation system in China, and puts forward problems and directions of improvement.

Methodology – To begin with, the chapter elaborates on the development background of the Chinese urban transportation system and on the challenges in terms of urbanization, mechanization, and resource constraints. The chapter then systematically summarizes the implementation strategy for developing a green transportation system in China, including the government's leading role, public transportation system resource integration, the combination of nonmotor traffic and public traffic, and traffic demand management policy. It illustrates these with specific examples of practical activities conducted.

Findings – Finally, in response to typical problems challenging China, this chapter puts forward directions of improvement for aspects of land utilization, planning, intelligent transportation, traffic demand management, and public participation.

Implications for China – During the critical period featuring rapid growth of private motor vehicle population and transformation of urban traffic development policy, this chapter contributes to building a consensus among the Chinese government and the civil society and to promoting the implementation and sound development of sustainable transportation system by adopting comprehensive measures.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.