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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.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This article explores the impact of crises, such as the coronavirus pandemic, on service industries, service customers, and the service research community. It contextualizes pandemics in the realm of disasters and crises, and how they influence actors' well-being across the different levels of the service ecosystem. The paper introduces a resources–challenges equilibrium (RCE) framework across system levels to facilitate service ecosystem well-being and outlines a research agenda for service scholars.

Literature on disasters, crises, service and well-being is synthesized to embed the COVID-19 pandemic in these bodies of work. The material is then distilled to introduce the novel RCE framework for service ecosystems, and points of departure for researchers are developed.

A service ecosystems view of well-being co-creation entails a dynamic interplay of actors' challenges faced and resource pools available at the different system levels.

Service scholars are called to action to conduct timely and relevant research on pandemics and other crises, that affect service industry, service customers, and society at large. This conceptual paper focuses on service industries and service research and therefore excludes other industries and research domains.

Managers of service businesses as well as heads of governmental agencies and policy makers require an understanding of the interdependence of the different system levels and the challenges faced versus the resources available to each individual actor as well as to communities and organizations.

Disasters can change the social as well as the service-related fabric of society and industry. New behaviors have to be learned and new processes put in place for society to maintain well-being and for service industry's survival.

This paper fuses the coronavirus pandemic with service and well-being research, introduces a resources-challenges equilibrium framework for service ecosystem well-being and outlines a research agenda.

In the past 20 years, Macao has experienced phenomenal economic growth driven by the liberalization of its casino sector. This growth has been enabled by massive influxes of foreign capital and migrant labor that have dramatically altered the city’s ethnic landscape. In this paper, the author examines the demographic changes Macao has experienced as a result of the casino boom, and situates the city’s current economic growth and ethnic diversification within its long history as a multi-ethnic city.

Building on Nancy Foner’s notion of “contexts of settlement,” the study draws on census materials, policy statements, newspaper articles and ethnographic materials to examine how changing ideologies of globalization help shape the categories through which ethnic diversity itself is conceptualized.

The paper has three main findings. First, despite the Macao government’s multicultural rhetoric, its labor and residency policies that prevent migrant workers from settling in Macao may paradoxically serve to maintain the ethnic status quo ante. Second, the new contexts of settlement engendered by Macao’s casino globalization may be amplifying fissures within the ethnic category “Chinese.” And third, discourses of globalization, regulations on immigration, and classificatory systems governing ethnic diversity that were instituted under Portuguese rule have both helped shape these new contexts and been reworked in the process.

As the processes of urbanization, economic integration and transnational migration continue to accelerate throughout East Asia, the goal of creating inclusive, equitable multi-ethnic urban societies will require closer examination of the relationship between particular modes and ideologies of “global” engagement, patterns of and policies toward migration and the concepts and categories through which diversity is measured. This approach to understanding multi-ethnic Macao may serve as an example.