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The objective of this study is to identify the factors that affect CoP activation and performance variables obtainable through CoP activities, and to gain greater insight into their relationships and the mechanisms. In particular, this paper intends to illustrate the role of perceived risk factor for the loss of uniqueness of one's own knowledge in terms of their influence on CoP activities.

In this study, the human behaviours were divided into online and offline CoP activities and adopted affirmative affect and social norm from the Triandis model. In addition, the paper considered perceived expectation, perceived risk, and organization support as independent variables. These would accelerate online and offline activities in the community of practice. The paper considered relationship commitment and individual performance in the context of performance evaluations via CoP activities. A structural equation model was developed with research variables and hypotheses.

As the consequence of the empirical assessment of the variables influencing the on/offline activities of a CoP, social norm, perceived expectation, perceived risk, and organizational support showed significantly influential relationships with online activities, and affirmative affect, perceived expectation, and organizational support evidenced significantly influential relationships with offline activities. However, with regard to online CoP activities, affirmative affect was not shown to be significant. As to offline activities, perceived risk was not shown to be significantly influential, while it was determined to significantly influence online activities in a negative direction.

The results of this study demonstrated that on/offline CoP activities were significantly influential in terms both of relationship commitment and individual performance.

The benefits associated with visibility in organizations depend on employees' willingness to engage with technologies that utilize visible communication and make communication visible to others. Without the participation of workers, enterprise social media have limited value. This study develops a framework to assess what deters and drives employees' use of enterprise social media.

Data were collected from 753 employees of a global company using an online survey. The response rate was 24.5%. The authors used structural equation modeling to test the hypothesized framework.

The results show that various fears by workers may deter or motivate enterprise social media use. This offers an alternative viewpoint for examining the consequences of communication visibility in organizations. Specifically, the findings demonstrate that the fear of accountability and the fear of losing uniqueness reduce enterprise social media use through increased codification efforts. The fear of missing out is directly and positively related to collecting behaviors on enterprise social media.

Expectations about participation in visible organizational communication environments are rising. However, as individuals may experience anxiety in such settings, the authors need to direct more analytical focus to the ways individuals manage communication visibility in organizing contexts and develop a deeper understanding of the consequences of fear in workplace communication.

The analysis recognizes that fear can play a key role in deterring or motivating workers' specific choices in navigating the challenges that occur when technology can make communication broadly visible. This study uses theorizing on communication visibility to bring together different fear mechanisms to predict enterprise social media use.

This paper to examine full knowledge sharing (KS) and partial KS in order to test the proposition that they are separate behaviors with different characteristics, risks, and motivations for the informer and subsequently different predictors.

Employed knowledge workers completed two questionnaires over a two‐week period regarding their attitudes, situational factors, individual differences, and KS behaviors with their close colleagues in their workplace.

Results support the proposition that they are different albeit related behaviors. Full KS is enabled by intentions for full KS. Partial KS is enabled by the uniqueness of the knowledge, interpersonal distrust of close colleagues, and inhibited by perceived value of knowledge. Management support, interpersonal trust and distrust enable intentions for both full and partial KS, then propensity to share further enables full KS, and psychological ownership further enables intentions for partial KS.

The findings from the study suggest that researchers should specify which sharing behavior they are examining (full or partial). Future research should also examine the outcomes of these two behaviors to see whether the assumed benefits of sharing knowledge apply to both of them.

The findings of the study provide some insight for practitioners on what motivates full versus partial KS.

The study challenges the assumption that KS is a single behavior, and starts to parse out the complexities within the KS literature with respect to predictors of actual KS behaviors.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

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.

The purpose of the paper is to propose a methodology for organizations to use to assess the risk of knowledge loss should a specific employee leave. The article also proposes actions that can be taken by the organization to capture this knowledge before it is lost.

Applied research based on the systems analysis approach.

The paper finds that it is possible to create a system for identifying which knowledge is most likely to be lost and to guide an organization towards the appropriate actions for capturing that knowledge before it is lost.

The process has only been piloted on a single organization and with a limited number of subjects. However, the results are promising, and future research is focused on exploring generalizability.

The paper provides a process that will assist managers in making better decisions when allocating resources for capturing knowledge from departing individuals.

The process introduces a new social dynamic in the assessment of individuals which may have an impact on organizational dynamics.

This is a very innovative and original application of traditional risk assessment principles.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This study explores reasons for and against secondhand luxury (SHL) fashion adoption among young consumers in an emerging nation, India. As a trend, SHL has witnessed tremendous growth in the past few years, but scholarly interest remains scant.

Drawing from an interpretivist paradigm, this study uses an exploratory qualitative approach with 26 semi-structured interviews with SHL buyers, analyzed using NVivo software.

The findings shed significant light on value drivers and find support for status value, uniqueness value, quality value and monetary value, while adding the role of emotional value in reasons for SHL adoption. The results reveal an interesting trait of Indian consumers: price, fashion and celebrity association outweigh sustainability concerns, where an attitude–behavior gap is observed. Also, the findings add depth to risk perceptions as a major reason against SHL adoption.

While most existing studies have only focused on the motivational drivers, this study offers in-depth insights into the growing SHL literature by drawing attention to the enablers and equally important inhibitors by applying the novel Behavioral Reasoning Theory. It also intends to enhance practitioner knowledge in understanding a culturally diverse market and developing strategies relevant to a new set of consumers. The study calls for SHL retailers to sensitize young consumers in India about the sustainability aspect of SHL consumption, which is currently less appreciated.

This study aims to investigate the influence of perceived risk, including financial, functional, aesthetic, sanitary, psychological and social risks, on the intention to purchase second-hand clothing (SHC) between SHC consumers and non-SHC consumers based on perceived risk theory.

A total of 290 responses were collected, with 110 from SHC consumers and 180 from non-SHC consumers. Partial least squares structural equation modelling was used to validate the hypotheses. Additionally, a permutation test and multigroup analysis (MGA) were performed.

The findings indicate that different types of risk have varying effects on both SHC and non-SHC consumers’ intention to purchase SHC. In particular, financial, aesthetic and social risks are found to be significant predictors of purchase intention for SHC consumers. By contrast, sanitary and psychological risks are significant predictors of purchase intention for non-SHC consumers. Furthermore, the MGA results indicate a significant difference between SHC consumers and non-SHC consumers in the relationship between financial risk, social risk and purchase intention.

To the best of the authors’ knowledge, this is the first study to examine the effects of different types of risk on the intention to purchase SHC in both SHC and non-SHC consumers. The findings will provide practitioners with practical insights for developing more effective strategies to target these two distinct consumer groups.