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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.

Accurate estimation or prediction of the resource required for a project is very important for construction. The more accurate the prediction model, the greater the potential for cost savings will be through elimination of any redesign and the minimization of the maintenance expenses. Contractors can also make use of the models for last‐minute bid estimation. In the past the estimators perform the task by analogy with similar previous projects. This approach highly relies on their experience and knowledge. Owing to the lack of a scientific and easily apprehensible method in resource estimation, prediction outcomes are mainly based on humans’ perception, which is inconsistent and exhibits large variations. This paper proposes the use of multiple Group Method of Data Handling (GMDH) models in developing models for resource estimation. The illustrative example has demonstrated the high accuracy of the approach which is superior to other architectures based on artificial neural networks.

The increasing number of tourists in the Muslim world every year has encouraged digital business developers and the Sharia banking industry to integrate halal product and service apps with the Sharia mobile banking system. The fourth wave of the industrial revolution has changed the consumer paradigm, creating a young generation that uses digital service transaction systems in their daily lives. This paper aims to investigate the factors that determine intention to use halal tourism apps amongst Muslim tourists to provide insights promoting the development of halal tourism in Indonesia.

The research was conducted using an online survey approach. The sample comprised 205 Muslim Millennial and Generation Z travellers. The data collected were analysed using partial least square structural equation modelling. There were three analysis stages: evaluation of the measurement model, assessment of the structural model and hypothesis testing.

The findings indicated that trust mediated the relationship between perceived ease of use and perceived usefulness on individual intentions and that halal knowledge positively and significantly impacted individual intentions. In contrast, religiosity was not a significant influence on individual intentions.

The paper expanded the technology acceptance model by incorporating the key constructs of halal knowledge, religiosity and trust into an integrated research framework; this represented a novel step, especially in the context of halal tourism. The finding that trust mediated the relationship between perceived ease of use and perceived usefulness fills a gap in previous research, which has rarely included the trust construct in technology acceptance models.

The purpose of this paper is to apply an extended technology acceptance model to examine the medical data analyst’s intention to use medical big data processing technique.

Questionnaire survey method was used to collect data from 293 medical data analysts and analyzed with the assistance of structural equation modeling.

The results indicate that the perceived usefulness, social influence and attitude are important to the intention to use medical big data processing technique, and the direct effect of perceived usefulness on intention to use is greater than social influence and attitude. The perceived usefulness is influenced by perceived ease of use. Attitude is influenced by perceived usefulness, and attitude acts as a mediator between perceived usefulness and usage intention. Unexpectedly, attitude is not influenced by perceived ease of use and social influence.

This research examines the medical data analyst’s intention to use medical big data processing technique and provides several implications for using medical big data processing technique.

Theory is a kind of condensed human knowledge. This paper is to examine the mechanism of interdisciplinary diffusion of theoretical knowledge by tracing the diffusion of a representative theory, the Technology Acceptance Model (TAM).

Based on the full-scale dataset of Web of Science (WoS), the citations of Davis's original work about TAM were analysed and the interdisciplinary diffusion paths of TAM were delineated, a supervised machine learning method was used to extract theory incidents, and a content analysis was used to categorize the patterns of theory evolution.

It is found that the diffusion of a theory is intertwined with its evolution. In the process, the role that a participating discipline play is related to its knowledge distance from the original disciplines of TAM. With the distance increases, the capacity to support theory development and innovation weakens, while that to assume analytical tools for practical problems increases. During the diffusion, a theory evolves into new extensions in four theoretical construction patterns, elaboration, proliferation, competition and integration.

The study does not only deepen the understanding of the trajectory of a theory but also enriches the research of knowledge diffusion and innovation.

The study elaborates the relationship between theory diffusion and theory development, reveals the roles of the participating disciplines played in theory diffusion and vice versa, interprets four patterns of theory evolution and uses text mining technique to extract theory incidents, which makes up for the shortcomings of citation analysis and content analysis used in previous studies.

The purpose of this paper is to provide an insight into the determinants of the customers’ attitude and behavioural intention to use Internet banking services, paying special attention to the role of perceived risk, trust, enjoyment, website design and social influence.

A research model grounded on the technology acceptance model (TAM) reflecting the effects of trust, perceived risk, perceived enjoyment, perceived website design and social influence on TAM constructs is proposed. The structural equation modelling technique is used to analyse a sample of 697 individual Internet banking users in India through an online survey.

The results of data analysis confirm some of the hypotheses drawn from the literature. Consistent with some of the other studies, perceived usefulness, perceived ease of use, trust and perceived enjoyment are found to be immediate direct determinants of customers’ attitude towards using Internet banking. Attitude, perceived risk, perceived enjoyment and trust determine the customers’ behavioural intentions to use Internet banking. Although the direct effect of perceived website design is significant only on perceived ease of use, its indirect effects are significant on perceived usefulness, attitude and behavioural intentions. Furthermore, perceived enjoyment exerts both direct and indirect effects on perceived usefulness but exerts only direct effect on perceived ease of use.

Generalizability of the research is a practical limitation in consumer research studies and the present study is not an exception to that. The current study focused only on some technological, behavioural and attitudinal factors, and many customer-specific factors and other psychographic and behavioural factors such as cost, perceived value, service quality and satisfaction, which can provide more significant insight into the adoption process, are not a part of the scope of the study.

This research specifies the implications in three perspectives, viz., theoretical, methodological and managerial. Furthermore, this study provides the practical recommendations to enhance customer trust and guidelines to reduce perceived risk. The most significant implication for the banking sector is that apart from offering useful and user-friendly services, they need to build a trusting relationship with customers.

This study extends existing body of Internet banking literature by incorporating trust and risk perceptions. The effects of website design and perceived enjoyment on Internet banking acceptance have been examined and were found to be significant in the Indian context. In addition, it enables us to contribute to the current literature on the emerging Indian Internet banking services (IBS) market, which is largely under-researched.

The purpose of this paper is to provide an understanding of the process of new technology adoption, notably social networks (SN), relying on a specific model, the technology acceptance model (TAM).

The study applies a quantitative methodological approach by using a survey method. The data are collected from a sample of 150 university students. In order to test the proposed relationships, structural equation modelling was employed.

The results of this empirical study demonstrate that SN are relatively easy to use, as respondents quickly become skillful at using these technologies, finding them quite flexible to interact with. In terms of their attitudes, respondents find SN fun to use and enjoy using them. Perceived ease of use and perceived usefulness impact on attitude towards SN. Attitude, in turn, impacts on behavioral intention to use SN. Thus, the authors confirm the explanatory power of TAM in the adoption of SN.

The study focuses on the parsimonious TAM model and its applicability to SN adoption. Another drawback pertains to the size of the sample.

A lot remains to be done to maximise the use of SN within a firm's context. For instance, a specific brand could target a specific group of users on Facebook and those potential customers who want to find detailed information about their products as services could be directed to the firm's official web site.

The relevance of this study is set against a lack of consistent, detailed research on the factors influencing the adoption of SNs.

Chapter one of this valuable book focuses primarily on the construction industry and emphasises on thematic areas such as industry entities, including its social and economic impact supported by the workforce within the industry. The workforce, which consists of a wide variety of training, semi-skilled and unskilled labourers, is crucial to the building sector. These people are vital to the conception, management and accomplishment of construction projects in various industries. The chapter also highlights the lack of female gender involvement and how the gender gap would be filled.

This study describes the development of operational research models for predicting contractor performance in Hong Kong, using discriminant and multiple regression analysis techniques. An important aim was to determine the underlying factors that influence contractor performance as seen from the client's point of view, and also to develop accurate models to assist clients in vetting contractors for building projects. The resultant models produced six significant variables measuring three dimensions: the inherent characteristics of the project, the contractor's internal attributes and the external influence of the project team. Specifically these were the complexity of the project, working experience of the project leaders, percentage of professionally qualified staff of the contracting firm, past performance of the contractor, origin of the contractor and the level of the architect's or client's supervision and control of the quality of work and work progress.

Addressing global warming challenge, carbon emissions reduction potential of the construction industry has received additional attentions. The decoupling of construction industry and carbon emissions through policies, technologies and model innovations is an effective way for reducing environmental pollution and achieve eco-urban target. The paper aims to discuss these issues.

Within the scope of green building carbon emissions (GB-CO₂) research, a large number of scientific literature has been published in construction discipline over the past few decades. However, it seems that a systematic summary of strategies, techniques, models and scientific discussion of future direction of GB-CO₂ is lacking. Therefore, this paper carries out data mining on authoritative journals, identified the key research topics, active research areas and further research trends through visualization studies.

This study contributes to the body of knowledge in GB-CO₂ by critically reviewing and summarizing: professional high-quality journals have a greater influence in the scope of research, developed countries and developing countries are all very concerned about sustainable buildings, and the current hot topics of research focus on the application of the life cycle models, energy efficiency, environmental performance of concrete material, etc. Moreover, further research areas that could expand the knowledge of cross-national long-term carbon mechanisms, develop comprehensive life cycle carbon emissions assessment models, build technical standards and tests for the sustainable building material and systems, and exploit multi-objective decision models considering decarbonizing design and renewable energy.

This study is of value in systematic insight the state-of-the-art of GB-CO₂ research in the more recent decade. A more vividly and effectively method is documented in extending the traditional bibliometric review to a deeper discussion. This study can also benefit construction practitioners by providing them a focused perspective of strategy and technologies innovations for emerging practices in green building projects.