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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.

This paper aims to acquire underlying knowledge of how IT is adopted in private sector organisations and further explore what factors impact its adoption (optimistically and pessimistically).

An interpretive and qualitative multiple case study approach was selected to test and validate the conceptual model empirically. The selection of the interpretivism viewpoint in the context of this research is to understand how government organisations adopt new technologies and support their decisions and actions. The interpretive research methodology is related to data gathering and generating solid descriptions and interpretations and further allows theory building. Through a multiple case study strategy, factors influencing EAI adoption in the government sector are investigated. In doing so, various data collection methods such as interviews, documentation, and observation are adopted.

The author identified 42 critical success factors (CSF) for IT innovation adoption. These factors provide sufficient understanding of their importance when adopting an innovation (technology). The author exploits these factors further when developing a conceptual EAI adoption model and also presents a taxonomy of the IT innovation adoption process. This taxonomy is an eight‐stage adoption process based on studying 11 IT adoption models. Simply acquiring or adopting a technology is not sufficient – in order to obtain the anticipated benefits, IT must be deployed and used appropriately by the organisation and its intended users. However, this taxonomy would further assist in identifying factors affecting IT innovation adoption at each stage of the adoption process.

The proposed conceptual IT innovation adoption model is a contribution to theory. This model presents a detailed list of factors that impact IT adoption in government sector organisations. The author conjectures that each factor within this model signifies its importance and must be considered by organisations while adopting innovation (technology). The taxonomy of the IT innovation adoption process is another contribution. This taxonomy is developed by studying 11 IT adoption models as presented in this paper. This taxonomy identifies the pre‐adoption and post‐adoption stages of an adoption process. Further in this taxonomy, the author identifies stages where the organisation is impacted, i.e. the pre‐adoption stage and post‐adoption, where individual adopters are impacted.

The purpose of this paper is to examine what influence travelers’ adoption of online reviews, and whether the online reviews will influence their travel planning decisions.

Data were collected from 193 respondents from eWOM websites and analyzed using structural equation modeling.

The results revealed that eWOM has a significant influence on travel decisions. Furthermore, travelers were willing to adopt information from eWOM and this information was useful in their travel planning and decisions. Gender and time spent on online reviews were found to affect travel planning and decisions. Travelers also found that the reviews and issues raised in eWOM had credibility and were of good quality.

The study was not able to incorporate all factors which may be relevant to this study and so further theoretical development may be necessary to develop the conceptual model. The sample size, while adequate, can be expanded further.

Operators and administrators of eWOM can use these findings to develop more user-friendly interfaces so that more positive reviews and sales can be generated.

The results showed that travelers who adopt the information in eWOM will, in turn, use eWOM in their travel planning. This confirms the importance of eWOM and travelers in general will translate their pre-travel decisions into actual travel planning.

This research extended existing eWOM and information system adoption studies and focused on the travel planning context. This research validated the significant roles of eWOM argument quality and credibility in predicting the information usefulness of eWOM.

Today, consumers play an active role in creating, generating and distributing the electronic word of mouth (eWOM) independent of marketers. Customer acquisition through referrals and word of mouth (WOM) has thus become an important goal for firms. In addition, mobile social networks have created valuable opportunities for eWOM. People are now able to discuss products and services of brands with their friends and acquaintances. The purpose of this paper is to examine the influence of eWOM information on consumers’ behavioral intentions in mobile social networks.

This study employed the information adoption model (IAM), theory of reasoned action and social exchange theory to investigate the influence of eWOM information on consumers’ behavioral intentions in mobile social networks. The study used 394 respondents to evaluate the proposed model using SmartPLS software.

Results show that the quality and credibility of eWOM information has a positive direct effect on perceived information usefulness. Attitude toward eWOM information mediates the influence of perceived information usefulness on information adoption. Also, attitude toward eWOM information has a significant positive influence on behavioral intentions, such as purchase intention and forwarding of eWOM information. However, information adoption does not have any significant relationship with the forwarding of eWOM information.

This study seeks to address the dearth of research in the field of mobile social networks, especially regarding eWOM information. The study proposes a new model and empirically validates the hypothesized relationships. This research can serve as a stepping-stone for future research in this field.

This research is one of the first studies focusing on the influence of eWOM information, especially in mobile social networks. The research offers comprehensive and empirically validated factors pertaining to eWOM information in mobile social networks. The results of this study may be useful also for practitioners and managers of online companies.

A new eWOM IAM in mobile social networks is proposed based on information characteristics and consumer behavior. The model is validated afterward.

Web‐based technologies have created numerous opportunities for electronic word‐of‐mouth (eWOM) communication. This phenomenon impacts online retailers as this easily accessible information could greatly affect the online consumption decision. The purpose of this paper is to examine the extent to which opinion seekers are willing to accept and adopt online consumer reviews and which factors encourage adoption.

Using dual‐process theories, an information adoption model was developed to examine the factors affecting information adoption of online opinion seekers in online customer communities. The model was tested empirically using a sample of 154 users who had experience within the online customer community, Openrice.com. Users were required to complete a survey regarding the online consumer reviews received from the virtual sharing platform.

The paper found comprehensiveness and relevance to be the most effective components of the argument quality construct of the research model, making them key influencers of information adoption.

Only 46 per cent of the variance is explained by the constructs due to its intentional simplicity. This would indicate that there are more actors in motivating information adoption than solely information usefulness. A closer look should be taken at the effectiveness of some of the other motivational factors suggested in the previous research on this topic.

The paper outlines ways to effectively promote one's business or cause through online customer communities, as well as general tips for web site and forum moderators for facilitating such presentation in a manner useful to the members of their online communities.

This paper is one of the first to develop and empirically test a theory‐driven information adoption model for opinion seekers in online customer communities. It also uniquely breaks down and tests the components of argument quality to discern the important motivating factors.

The significance of cloud services in information technology (IT) is increasing as a means of achieving enhanced productivity, efficiency and cost reduction. Through cloud-based service, the reliability and scalability of an organization’s systems can be enhanced since organizations such as local governments are able to concentrate on their main business strategies. This research seeks to identify critical factors that may have an impact on the acceptance of cloud-based services, where the organizational context is based on local governments in Australia.

To formulate a more comprehensive IT innovation adoption model for cloud technology, factors from the technology-organizational-environment framework, desires framework and diffusion of innovation model were integrated. Data was obtained from 480 IT staff working in 47 local government organizations.

The research results show that the factors which had a statistically significant and positive impact on the adoption of cloud-based services in local governments were compatibility, complexity, cost, security concerns, expected benefits and organization size. It is likely that the outcomes from this research will provide insights to any organization seeking to make investment decisions on the adoption of cloud-based services.

Limitations include generalizability of the findings since the data is restricted to local government areas in Queensland, Australia. Further, the sample mostly included individuals with managerial positions and may not completely capture the cloud adoption factors relevant for front line IT employees. Another limitation is the possible omission of factors that may be relevant but not considered due to the selected theories. Lastly, this research did not differentiate between different types of cloud adoption such as private, public, community and hybrid models that are possible in this context.

The paper provides a combination framework of cloud-based service adoption based on a literature review on cloud adoption from an IS perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for cloud technology.

With the usage of social media and Web 2. 0, YouTube channels currently play a pivotal role in supporting a traveler’s destination visit. Travelers create their YouTube channels and share their past experiences in the form of videos, which helps other potential travelers to support their destination visit. The purpose of this paper is to understand how travelers adopt information through YouTube channels and how it influences the traveler’s intention to visit a destination.

A research model was constructed and empirically tested by using a sample of 486 respondents who watch YouTube channels before visiting a destination. Further, the hypotheses of this study were validated with the help of structural equation modeling using partial least squares. The respondents in this study were from Delhi.

This paper found comprehensiveness, relevance, timeliness, source expertise and attitude as the most significant predictors of a traveler’s destination visit intention through YouTube channel adoption. Further, source trustworthiness and accuracy were not found to be statistically significant.

The findings of this paper were based on data taken from the local respondents in Delhi. Further, it analyzed the influence of only seven dimensions on destination visit intention, which could have excluded some important factors that influence tourists’ destination visit intention.

This paper has provided implications for YouTube vloggers and tourists. The result proves that while making decisions regarding destination visit, tourists thinks critically and scrutinize the content of YouTube channels prior to deciding a destination. So, vloggers should provide relevant, comprehensive and accurate destination information through their videos to tourists.

To the best of authors’ knowledge, this paper is the first in the Indian context to examine the adoption of YouTube channels before visiting destinations through information adoption models with additional constructs.

The purpose of this study is to develop a model to understand the relationships among technology, organizational and environmental (TOE) contexts, intention to adopt cloud computing (IACC) and actual usage of cloud computing (AUCC) in small and medium enterprises (SMEs) in Malaysia as a developing country. More specifically, this paper seeks to explore the mediation effect of IACC on the relationship between TOE context and AUCC.

A positivist research approach was selected for this study. Drawing largely upon the TOE framework, this study uses survey data from 209 Malaysian SMEs. Structural equation modelling (SEM) based on partial least squares (PLS) was used to assess the structural relations of the research model.

The results of the structural model show that data security, technology readiness, top management support, competitive pressure and innovativeness are the most significant factors in predicting the adoption of cloud computing in Malaysian SMEs. Further, the results indicate that intention to adopt cloud computing can play a mediating role between TOE factors and the actual usage of cloud computing.

The focus upon Malaysian SMEs may diminish the generalizability of the findings. This study provides profound insight into the management and foundation of cloud computing, different types of cloud services and deployment models that could facilitate the management of enterprise strategic resources and contribute to the performance improvement. This study also provides another important implication for practitioners regarding the absolute necessity of value drivers’ identification within enterprise and understand the causal relationships, which are vital in driving those values.

This study provides several practical guidance for practitioners in deploying cloud services which are most suitable option for their specific technology requirement in their enterprise to enjoy the full benefits of their intangible assets. Another significant implication of this study lies in the fact that it may require a different emphasis on nature and adoption design when there is a higher level of stress on technology-related and cloud computing resources.

This study contributes to the extant literature by developing an integrative model to identify how a wide set of contextual factors can determine the intention to adopt cloud computing and, in turn, influence the actual usage of cloud computing in SMEs in Malaysia as a developing country.

The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level.

A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model.

The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption.

The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption.

This study integrates two of the information technology adoption models to improve predictive power of resulting model.

This paper aims to investigate the relationship between building information modelling (BIM) adoption from the perspectives of people, process and technology to strategic information technology (IT) in construction mediated by collaborative processes for new BIM entrants. The demand pull for more effective project delivery in the construction industry across the globe has continued to transform design techniques from two-dimensional, three-dimensional (3D) and, currently, BIM. Leverage on IT is pivotal for construction industry development as earmarked by the Malaysian construction industry master plan. BIM uptake by stakeholders in Malaysia construction industry is on a gradual increase. BIM generates and manages building data during its life cycle via 3D, real-time, dynamic building modelling.

BIM model is dependent on collaborative contribution by project teams’ input at various stages. However, challenges such as people, process and technology impede an effective adoption rate in Malaysia. This paper presents a continuation of an ongoing theoretical framework developed, to further investigate the relationship between BIM adoption from perspectives of people, process and technology to strategic IT in construction and collaborative process. To develop the framework, an extensive literature review on factors affecting BIM adoption was carried out. The underlining gap stems from a positivist standpoint in examining human – IT interaction. The model builds on conceptual technology acceptance models incorporating strategic IT implementation and collaborative processes in the industry.

The paper examined factors affecting BIM adoption in Malaysia. The factors are further affected by the environment where BIM is utilised. The paper also presents the mediating effect of collaboration for new BIM entrants. Overall, the theorised hypotheses delineate the strength and significance of the examined relationship within the model. Subsequently, the data will be collected from construction industry professionals (architects, quantity surveyors, engineers and contractors) through the developed survey instrument. The hypotheses will undergo structural equation modelling to analyse the desired statistical power, test for close versus exact fit and complexity of the model.

The findings will delineate the variables with predominant impact on BIM adoption and serves as a guide to future policymaking on BIM implementation in Malaysia.

Current research on BIM in Malaysia is limited to readiness and awareness. This paper extends the need for empirical findings from construction professionals’ perception of BIM. The findings also explain reasons for BIM adoption in new BIM entrants and add to current body of knowledge on IT acceptance model formation.