Search results

Previous research on the use of behaviour modelling techniques for training in industry have shown it to be generally effective. Further, more specific work has suggested that effectiveness might be improved by the use of techniques (symbolic coding and rehearsal) designed to improve trainees’ retention processes. This study examined the use of symbolic coding (learning points) and rehearsal techniques in behaviour modelling training. The data were derived from a field experiment conducted in a UK financial services organisation. Although, as expected, the behaviour modelling approach did produce effective learning the results showed that, contrary to hypotheses, variations in symbolic coding (different learning points conditions) and rehearsal did not influence training outcomes.

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 concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

Social learning theory specifically acknowledges that most human behaviour is learned observationally through modelling. The focus of this approach has been teaching leadership across formal and informal settings. This and the behavioural focus is what distinguishes social learning theory from others as a leadership theory. However it will not become a leadership theory unless the behaviours to be imparted to future leaders are outlined. This has not been done in the social learning context. However, because of its growing importance as a theoretical foundation for the fields of psychology and organisational behaviour as a whole, a social learning approach to leadership would seem to have potential for the future.

Two studies in the context of English‐French relations in Québec suggest that individuals who strongly identify with a group derive the individual‐level costs and benefits that drive expectancy‐value processes (rational decision‐making) from group‐level costs and benefits. In Study 1, high identifiers linked group‐ and individual‐level outcomes of conflict choices whereas low identifiers did not. Group‐level expectancy‐value processes, in Study 2, mediated the relationship between social identity and perceptions that collective action benefits the individual actor and between social identity and intentions to act. These findings suggest the rational underpinnings of identity‐driven political behavior, a relationship sometimes obscured in intergroup theory that focuses on cognitive processes of self‐stereotyping. But the results also challenge the view that individuals' cost‐benefit analyses are independent of identity processes. The findings suggest the importance of modeling the relationship of group and individual levels of expectancy‐value processes as both hierarchical and contingent on social identity processes.

The purpose of this paper is to explore the domain relevance of a comprehensive yet almost overlooked theoretical framework for studying organic food purchase behavior in a global context. This conceptual paper argues that there exists an apparently powerful model in health behavior domain that may readily be brought into organic food purchase behavior research. The paper argues for domain relevance and proposes that Montano and Kasprzyk’s integrated behavior model may readily be used in organic food behavior studies with some relevant modification.

The paper follows an exploratory approach and shows how variables used in the past may be aggregated to the model in question. The challenge is addressed by following both the inductive and the deductive reasoning. Deductive reasoning calls for investigating whether such behavior may be classified as health behavior. Inductive reasoning calls for proving relevance of all the variables in the aforesaid model to the organic food research context.

The paper concludes that the Montano and Kasprzyk’s model is theoretically relevant to the organic food behavior domain. However, it is observed that the domain-specific operationalization is necessary for further empirical studies.

Since the model was rarely tested empirically in predicting organic food purchase intention, the variable-specific relevance may not warrant the relevance of the whole model with intertwined relationships at the same time.

The paper may pave a way toward further empirical research and may also explain the apparent intention-behavior gap as often reported in literature.

The paper may provide a useful direction in future organic food purchase behavior studies by showing the domain relevance of an apparently powerful model, along with addition of some newer variables that may enrich the existing model.

Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.