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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.

Given the popularity of online health communities (OHCs) and medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes useful answers and user-adopted standards in healthcare domain. However, few studies provide insights into how health information characteristics, provider characteristics and recipient characteristics jointly influence user information adoption decisions. To fill this research gap, this study examines the combined effects of physicians' certainty tone as information characteristics, seniority as provider characteristics and disease severity as recipient characteristics on patients' health information adoption.

Drawing on dual-process theory and information adoption model, an extended information adoption model is established in this study to examine the effect of attitude certainty on patients' health information adoption, and the moderating effects of online seniority and offline seniority, as well as patient motivation level—disease severity. Utilizing logit regression models, the authors empirically tested the hypotheses based on 4,224 Q&A records from a popular Chinese OHC.

The results show that (1) attitude certainty has a significant positive impact on patients' health information adoption, (2) the relationship between attitude certainty and information adoption is negatively moderated by physicians' online seniority, but is positively moderated by offline seniority; (3) there is a negative three-way interaction effect of attitude certainty, online seniority and disease severity on patients' health information adoption.

This study extends the information adoption model to examine the two-way interaction between argument quality and source reliability, as well as the three-way interaction with user motivation level, especially for health information adoption in the healthcare field. These findings also provide direct practical applications for knowledge contributors and OHCs.

Online reviews derived from peer communications have been increasingly viewed as an important approach for consumers to gather pre-purchase information. This study aims to examine factors affecting online reviews adoption in social network communities and then indicates the underlying mechanism of this process based on an extended information adoption model (IAM).

Using the data collected from 242 users of a social network community via an online survey, the proposed model is empirically assessed by partial least squares-based structural equation model (PLS-SEM).

The results show that both perceived diagnosticity and perceived serendipity are drivers of online reviews adoption in social network communities. Meanwhile, community identification is not only an antecedent of diagnosticity and serendipity perceived by community members, but also motivates source credibility which, in turn, positively influences argument quality. Finally, the importance of argument quality and source credibility in reviews adoption process is also presented.

This study extends the IAM and enriches the literature regarding online reviews adoption. It deepens the understanding of serendipitous experiences and community identification in social networking context by addressing their important roles in the authors' extended IAM.

Mobile messaging applications (MMAs) have surpassed top social media platforms. Recent and rapid use of MMAs has made it extremely difficult to ignore the existence of customer-to-customer (C2C) mobile information. This study, therefore, aims to expand the knowledge of customers' adoption behaviour of such information.

Through applying and utilizing social support theory (SST) and the information adoption model (IAM), this study introduces a holistic theoretical model, explaining customers' adoption of information derived from MMAs and exploring the antecedents of IAM. Based on the data collected from 305 UK MMA users, this study empirically tests the research model using structural equation modelling estimation.

The results of this study reveal that social support is a key antecedent of information quality and credibility and support IAM in terms of its ability to explain MMAs' information adoption.

The insights are valuable for businesses and marketers to understand customers' mobile communications and be socially support-oriented while developing marketing communication strategies.

The study integrates SST and IAM to improve the understanding of customers' information adoption behaviour. It is the first attempt that establishes that social support is a key antecedent of IAM.

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.

Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model.

The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software.

The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption.

Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption.

To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

Knowledge adoption is the key to effective knowledge exchange in virtual question-and-answer (Q&A) communities. Although previous studies have examined the effects of knowledge content, knowledge source credibility and the personal characteristics of knowledge seekers on knowledge adoption in virtual Q&A communities from a static perspective, the impact of answer deviation on knowledge adoption has rarely been explored from a context-based perspective. The purpose of this study is to explore the impact of two-way deviation on knowledge adoption in virtual Q&A communities, with the aim of expanding the understanding of knowledge exchange and community management.

The same question and the same answerer often yield multiple answers. Knowledge seekers usually read multiple answers to make adoption decisions. The impact of deviations among answers on knowledge seekers' knowledge adoption is critical. From a context-based perspective, a research model of the impact of the deviation of horizontal and vertical answers on knowledge adoption is established based on the heuristic-systematic model (HSM) and empirically examined with 88,287 Q&A data points and answerer data collected from Zhihu. Additionally, the moderation effects of static factors such as answerer reputation and answer length are examined.

The negative binomial regression results show that the content and emotion deviation of horizontal answers negatively affect knowledge seekers' knowledge adoption. The content deviation of vertical answers is negatively associated with knowledge adoption, while the emotion deviation of vertical answers is positively related to knowledge adoption. Moreover, answerer reputation positively moderates the negative effect of the emotion deviation of horizontal answers on knowledge adoption. Answer length weakens the negative correlation between the content deviation of horizontal and vertical answers and knowledge adoption.

This study extends previous research on knowledge adoption from a static perspective to a context-based perspective. Moreover, information deviation is expanded from a one-way variable to a two-way variable. The combined effects of static and contextual factors on knowledge adoption are further uncovered. This study can not only help knowledge seekers identify the best answers but also help virtual Q&A community managers optimize community design and operation to reduce the cost of knowledge search and improve the efficiency of knowledge exchange.

The aim of this research is to measure the impact of eWOM (electronic word of mouth) and brand celebrity use on the purchasing behavior of sports consumers.

To test the model hypotheses, sports consumers who use social media and have purchased at least one online sports product were selected as the research group. Online survey method was used, and 836 participants were reached. The model was tested with structural equation modeling (SEM) through smart PLS software.

As a result, the quality, credibility and usefulness of the information consumers encounter on online platforms cause them to adopt information about products or services, and then exhibit online purchase behavior. While the attractiveness and trustworthiness of celebrities are seen as important factors affecting consumers' online purchase of sports products, the effect of celebrity expertise was found to be ineffective in this study.

Marketers can develop more effective eWOM strategies by considering consumers' expectations. Businesses that want to implement an effective marketing strategy may prefer celebrities in product promotions or advertisements of their brands.

This research revealed the effect of eWOM and celebrity endorsement on the online purchase behavior of sports consumers in terms of the sports industry. Unlike previous studies, this study examined these variables together on sports consumers and contributed to the development of models.