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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.

This paper aims to explore the image of travel destinations after the visit by analysing sentiment orientation of the online reviews, and how this orientation, as well as other electronic word of mouth (eWOM)’s credibility sources, can affect the perceived helpfulness of shared opinions measured through the helpfulness score.

Tourist destinations are increasingly affected by travel-related information shared through the Web. More and more people first check the previous travel experiences of other people to build their own destination image and to help them in their choice of destination. This paper analyses the shared opinions related to the city of Barcelona in a well-known eWOM website. The reviewers’ opinion and the credibility sources of eWOM are extracted from the web using a webscraper, while the sentiment score to analyse the discourse orientation (positive vs negative) is calculated using computer-based sentiment analysis techniques.

Online reviews’ users are reluctant to provide extreme polar opinions (very negative, very positive) to any travel subcategory (hotel, restaurant, attractions and night-life) of a tourist destination. The results obtained also reveal that eWOM’s perceived helpfulness grows with the expertise of the reviewer. However, the helpfulness score given to the reviews posted is not influenced by the sentiment orientation of the author’s opinion.

This research is limited to the case study of Ciao, which is a well-known consumer platform, and the city of Barcelona, which is a top touristic destination. However, the approach proposed can be easily extended to other similar consumer platforms and cities using the same methodology.

Understanding the information posted in the media environment is a major concern in the field of marketing destination planning. Positive and negative eWOM offers potential consumers a clear picture on the tourist destination, and this information can be used by Destination Marketing Organisations to meet customers’ needs and expectations. The perceived helpfulness of reviews analysed in this paper can also help practitioners and scholars to understand those factors that make reviews more trustable.

From a methodological point of view, the main contribution of this research is the utilisation of an unstructured approach to the measurement of the destination image based on the sentiment analysis of shared opinions. From a theoretical point of view, the study relates the post-visit destination image with the pre-visit image formation process, using the sentiment orientation of the former and the perceived helpfulness of the latter.

Web sites are typically designed attending to a variety of criteria. However, web site structure determines browsing behavior and way‐finding results. The aim of this study is to identify the main profiles of web sites' organizational structure by modeling them as graphs and considering several social network analysis features.

A case study based on 80 institutional Spanish universities' web sites has been used for this purpose. For each root domain, two different networks have been considered: the first is the domain network, and the second is the page network. In both cases, several indicators related to social network analysis have been evaluated to characterize the web site structure. Factor analysis provides the statistical methodology to adequately extract the main web site profiles in terms of their internal structure.

This paper allows the categorization of web site design styles and provides general guidelines to assist designers to better identify areas for creating and improving institutional web sites. The findings of this study offer practical implications to web site designers for creating and maintaining an effective web presence, and for improving usability.

The research is limited to 80 institutional Spanish universities' web sites. Other institutional university web sites from different countries can be analyzed, and the conclusions could be compared or enlarged.

This paper highlights the importance of the internal web sites structure, and their implications on usability and way‐finding results. As a difference to previous research, the paper is focused on the comparison of internal structure of institutional web sites, rather than analyzing the web as a whole or the interrelations among web sites.

On the health care industry, the paper aims to study the effects of intellectual capital, identify using an input‐process‐output concept of human, customer, innovative and process capitals, on company performances.

From a resource‐based and intellectual capital perspective, the structural path model is applied to financial data to analyze the six‐value creation relationships among the four components of intellectual capital, as well as the causal effects of intellectual capital on company performance.

Empirical findings suggest a significant relationship between intellectual capital and company performance. These results also suggest that innovative capacity and process reformation shall be considered first, and through the human value‐added of human capital, firms can improve their company's performance.

There have been many arguments as to whether intellectual capital is quantitatively measurable. This paper provides a tangible means of quantifying intellectual capital.

The purpose of this paper is to develop a model to help RTC managers in the technological and R&D decisions and bets so as to change the perceived value of the R&D projects of the centres. To achieve this aim, the paper investigates the different models for the valuation of intangible assets.

The paper presents a single case study and focusses on creating a useful IC valuation model for the centre, using existing methods and frameworks in IP and IC fields.

The paper presents a new method for the calculation of IC applied to a RTC in ICT sector, in which the valuation of the IP is included (software libraries) and the KM and the peculiarities of these kinds of organisations are explained. The model is based on Edvinsson and Malone (1997) and Leitner (2005).

Although the use of a single case provides rich data, it is also limits the generalisability to other RTCs. Another limitation is that not all existing methods were explained. This new method constitutes a first proposal for the IP and IC valuation in RTCs and further discussion and development would be carried out in the future.

The results suggest an IP and IC measurement model to improve the strategic and technological decisions making.

This paper may favour the competitiveness of companies engaged in intangible assets (knowledge, R&D) and the negotiation of the contracts since it arrives to determine a value for the intellectual property (software libraries) and intellectual capital.

This paper proposes an IC Model orientated towards an RTC context and to provide a value perspective for them. The authors are practitioners and the model is in use.

The Internet has evolved, prompted in part by new Web 2.0 technologies, to become a more widespread platform for interaction, communication, and activism. Virtual communities, or groups of people informally bound together by shared expertise, synthesise this Internet evolution and the Web 2.0 technology. Users increasingly want to engage online with one another and with organisations of all kinds. These novel Internet‐based technologies dominate the new business models of the digital economy giving companies radical new ways to harvest the talents of innovators working outside corporate boundaries. One of the most illustrative examples of this new trend is the Open Source Software (OSS) projects development. This paper aims to analyse the structure and topology of the virtual community supporting one of the most successfully OSS projects, Linux. The objective is to provide conclusions for being successful in the development of future virtual communities. As companies learn to manage these virtual communities, they will develop smarter and faster ways to create value through them.

The interactions of the virtual community members of an ARM‐embedded Linux project website is analysed through social network analysis techniques. The participants' activity is studied and some conclusions about the participation features are obtained using the Gini coefficient. In particular, a participation inequality behaviour or a concentration on a small number of developers is clearly observed.

The paper deals with the guidelines that virtual communities should follow to be successful. Results about the structure of a successful virtual community and its time evolution are provided to determine the mentioned guidelines.

The research is limited to a particular virtual community engaged with the development of the ARM‐embedded Linux OSS. Other successful virtual communities can be analysed, and the conclusions could be compared. Anyway, the proposed analysis methodology can be extended to other virtual communities.

The paper fulfils the development and features of Internet virtual communities to be successful. Results have important implications over the development of new software business models based on virtual communities and open source software. Contributions about the best organisation of virtual communities leading to a successful development of the underlying project are presented.

The purpose of this paper is to examine the relationship between firms' value drivers and their intellectual capital (IC).

The health care sector (GICS 35) firms listed in the S&P500 were used to build a research censoring Tobit model by adopting financial data to determine value drivers.

The results of the study show that innovation capital, customer capital and human capital are significant positive drive factors for firms to create more IC and hence more intangible value. Process capital exerts moderating effects on IC; organizations with greater process capital must raise customer capital to enhance intellectual value.

This is the first empirical study that uses a censoring Tobit model and tests of the association between competitive advantage and the value drivers of firms. This research successfully combines management perspectives with financial data to describe the value drivers of firms.

The data sample used in this study is composed of 2,638 Chinese tourists who have travel experiences to the South Pacific region. This study examines the effects of memorable tourism experiences, destination cognitive and affective images, and satisfaction on revisit intention and their mechanisms from a cognitive–affective perspective. Results show that destination cognitive image, destination affective image, and satisfaction, respectively, play a mediating effect on the relationship between memorable tourism experiences and revisit intention. Memorable tourism experience is the most important predictor of revisit intention, and it mainly affects the cognitive image of a destination. In line with previous studies, this research has shown that memorable tourism experiences have significant impact on the destination image and tourists' revisit intention, which can provide significant implications for tourism practitioners and destination managers in the South Pacific islands.

The aim of this paper is to monitor the scientific development of the intellectual capital (IC) field by analyzing the citation patterns of the IC articles published in ISI journals in the period 1997‐2007. Our research examines the extent to which citation is allocated according to a normative process of universalism or a social process defined by particularistic variables. The results of a regression analysis summarizing both approaches shows that some universalistic predictors of quality such as the impact factor of the journal and the accuracy of the articles are positively related to the number of citations. Thus, the field is slowly moving toward a more universalistic‐oriented discipline, and the practice of citing considering functionally irrelevant characteristics has a limited influence. It seems clear that IC is, more than a fashionable topic, a loose collection of ideas that is still developing its scientific paradigm.

A large variety of online communities have emerged during the last years as a result of the challenges faced by both the business and scientific worlds. This trend has also been promoted by the development of internet and new Web 2.0 technologies. In this context, this paper is focused on the determinants of success of online communities. But, as a difference from other studies, these determinants are analyzed from the social network analysis perspective. Several constructs related to the community organization as a social network are proposed and their interrelations are hypothesized in a general research framework. The obtained results test the proposed model providing the most relevant antecedents of the project success.

A case study based on Linux ports to non‐conventional processor and environments is used to test the proposed model. Structural equation modeling analysis is used to validate the structural proposed model.

The main antecedents of online communities' success, quantifying the strength of the relation through the standardized path coefficients.

The research is limited to a particular set of online communities engaged with the development of the non‐conventional Linux ports. However, they constitute a representative set of communities in the field of the open source projects (OSS) development, which are typically developed using a community of support.

This paper fulfils the main antecedents causing the successful development of Internet virtual communities. Instead of using sources of data coming from users' surveys, this study employs community interactions as a source of data. Results have important implications over the development of online communities, like software business models based on virtual communities and open source software.