User acceptance of context-aware services: self-efficacy,user innovativeness and perceived sensitivity on contextual pressure

The aim of this paper is to empirically examine how individual characteristics affect user acceptance of context-aware services such as GPS-based telematics systems and location-based commerce, which together have become highly promising fields for mobile or ubiquitous e-commerce. To examine these individual characteristics, we applied a technology acceptance model to construct an amended model that focuses on three individual differences: self-efficacy, personal innovativeness and perceived sensitivity on contextual pressure. As a result, we discovered that the perceived sensitivity on contextual pressure, which is newly adopted as a construct in this paper, affects behavioural intention in using context-aware services.     

User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure

The aim of this paper is to empirically examine how individual characteristics affect user acceptance of context-aware services such as GPS-based telematics systems and location-based commerce, which together have become highly promising fields for mobile or ubiquitous e-commerce. To examine these individual characteristics, we applied a technology acceptance model to construct an amended model that focuses on three individual differences: self-efficacy, personal innovativeness and perceived sensitivity on contextual pressure. As a result, we discovered that the perceived sensitivity on contextual pressure, which is newly adopted as a construct in this paper, affects behavioural intention in using context-aware services.     

Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services

Adoption research has largely ignored the dynamic impact of network effects on technology adoption and diffusion. For example, some technologies become more attractive the more social peers use them as well. But adoption at the same time increases the value for the peers and thereby their adoption decisions as well. Unfortunately, interdependencies like these make adoption and diffusion patterns very complex. Drawing on network effect theory, we develop an adoption and diffusion model that explicitly considers the role of direct and indirect network effects for individual technology adoption, using mobile commerce adoption as application example. By applying a simulation approach we can exemplify and analyze the fundamental adoption dynamics given rise to by network effects. We thereby propose a way of how to incorporate network effects into adoption research and disclose the role of the technology diffusion lifecycle for individual adoption.     

Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China

Unlike traditional technologies, the use of mobile technology is exposed to shifting use contexts. Use context has frequently been described as an important factor influencing the adoption of mobile innovations. However, empirical evidence about the impact of use context is limited. This paper investigated the effect of use context on the formation of users’ perceptions of mobile hedonic services by using mobile gaming as an example. Through the employment of structural equation modelling technology, an adoption model of mobile gaming is proposed and assessed based on results from 267 questionnaires. The results show that use context is the strongest predictor of mobile game adoption. It directly or indirectly affects all different perceptions of mobile gaming in significant ways, including perceived ease of use, perceived usefulness, perceived enjoyment, cognitive concentration, attitude and behavioral intention. Additionally, perceived usefulness, perceived enjoyment and cognitive concentration all have a positive influence on the attitudinal variables of mobile game acceptance. We concluded that the formation of people’s perceptions about mobile gaming is conditional and based on the special consideration of certain use contexts. Both theoretical and practical implications are discussed.     

Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit

Mobile financial services (MFS) have become a critical issue in the financial sectors. An expanding application of mobile commerce, MFS play an important role in managing customer relationships. Thus, we proposed a model that incorporates three external variables—perceived enjoyment, perceived mobility, and personal habit—into the technology acceptance model (TAM) to assess the antecedents that influence continued usage intention in MFS. In addition, we examined the moderating effect of gender on customer relationships. Structural equation modeling was used, and 368 MFS users were investigated. The findings revealed that perceived mobility, personal habit, perceived usefulness, and perceived ease of use are the major antecedents that influence continued usage intention in MFS. However, perceived enjoyment is not significantly associated with intention. Moreover, gender moderates the relationships between the variables in the proposed model. Perceived mobility affecting usage intention will be stronger for men than for women, whereas personal habit affecting usage intention will be stronger for women than for men.     

The attitudes,impact, and learning needs of older adults using apps on touchscreen mobile devices: Results from a pilot study

Despite the proliferation in understanding older adults’ acceptance and limitations of Internet technology, the learning needs of older adults living in low Internet usage areas and their acceptance of touchscreen-based apps have lagged behind. This study describes an embedded mixed-method research evaluation of an eight-week touchscreen mobile device training for thirty-nine older adults who were recruited from a community center in a low Internet usage area in southern Taiwan. Among the participants, 20 completed both the pre-test and the post-test and 16 attended the focus group interviews. The design of the training course was based on constructs informed by the diffusion of innovation theory and the technology acceptance model, and it incorporated both a classroom-based and small group tutoring approach. After the training session, the participants reported significantly lower depressive symptom scores compared to baseline. Qualitative interviews reveal the participants’ learning needs related to extended practice, usefulness, and compatibility in adopting touch-screen apps. Findings from this study shed light on the possibility of touchscreen-based apps, including health-, entertainment-, transportation-, and social media-related apps, for improving psychological well-being in older adults with limited Internet experience living in the community. Discussion on their learning needs was also provided.     

Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust

The growing presence of online travel communities is leading to great developments in the travel industry. Grounded in the innovation diffusion theory (IDT) and the technology acceptance model (TAM), this paper seek to develop and empirically test a comprehensive framework to examine the antecedents of customers' intention to participate in online travel community. Using SEM to analyse the data collected from a sample of 495 members, the results indicate that innovation diffusion theory and TAM with trust provide an appropriate model for explaining consumers' intention to participate; this intention in turn has a positive influence on intention to purchase and positive WOM. Furthermore, religiosity plays an important role in understanding consumers' behavioural intention. The results offer important implications for online service provider and are likely to stimulate further research in the area of online travel community.     

Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals

My study extended TAM to include individuals’ intention to use mobile wireless technology (MWT). It added two new constructs, Perceived Cost Savings and Company's Willingness to Fund, and two causal relationships, Job Relevance and Experience, as moderating effects. The 286 sets of data collected in an online survey were tested against the model using SEM. Results supported my new model: the new constructs and variables accounted for 62.7% of the variance found in an individual's behavioral intention to use MWT. The path coefficients between the constructs ranged from 0.26 to 0.85 also supporting the model.     

Uses and gratifications and acceptance of Web-based information services: An integrated model

This study combines the technology acceptance model (TAM) and uses and gratifications theory (U&G) to create an integrated model that predicts usage and satisfaction with Web-based information services (WIS). Two pilot studies and three laboratory experiments were conducted to test and develop the concepts, measurements, and the integrated model. The results support the proposed integrated model. Behavioral intention and entertainment motive collectively predicted behavioral usage. Satisfaction was positively associated with the level of usage. The good structure fit with the merge model and data showed that the model explained more than 30% variance of behavioral usage. Although both theories are solid acceptance theories, U&G provides specific information and a more complete understanding of usage, whereas TAM constructs are easily used with Web-based applications. This study gives researchers and practitioners an interdisciplinary perspective for investigating the phenomenon of technology acceptance. In addition, it merges the strengths from the fields of information systems and communications.     

Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits

Mobile payment is an emerging and important application of mobile commerce. The adoption and use of mobile payment services are critical for both service providers and investors to profit from such an innovation. The present study attempts to identify the determinants of pre-adoption of mobile payment services and explore the temporal evolution of these determinants across the pre-adoption and post-adoption stages from a holistic perspective including behavioral beliefs, social influences, and personal traits. A research model that reflects the characteristics and usage contexts of mobile payment services is developed and empirically tested by using structural equation modeling on datasets consisting of 483 potential adopters and 156 current users of a mobile payment service in China. Our findings show that behavioral beliefs in combination with social influences and personal traits are all important determinants for mobile payment services adoption and use, but their impacts on behavioral intention do vary across in different stages. Theoretical and practical implications of the findings are presented.     

The utilization of e‐government services: citizen trust,innovation and acceptance factors*

Abstract. Electronic government, or e‐government, increases the convenience and accessibility of government services and information to citizens. Despite the benefits of e‐government – increased government accountability to citizens, greater public access to information and a more efficient, cost‐effective government – the success and acceptance of e‐government initiatives, such as online voting and licence renewal, are contingent upon citizens’ willingness to adopt this innovation. In order to develop ‘citizen‐centred’ e‐government services that provide participants with accessible, relevant information and quality services that are more expedient than traditional ‘brick and mortar’ transactions, government agencies must first understand the factors that influence citizen adoption of this innovation. This study integrates constructs from the Technology Acceptance Model, Diffusions of Innovation theory and web trust models to form a parsimonious yet comprehensive model of factors that influence citizen adoption of e‐government initiatives. The study was conducted by surveying a broad diversity of citizens at a community event. The findings indicate that perceived ease of use, compatibility and trustworthiness are significant predictors of citizens’ intention to use an e‐government service. Implications of this study for research and practice are presented.     

Automating agent-based modeling: Data-driven generation and application of innovation diffusion models

Simulation modeling is useful to understand the mechanisms of the diffusion of innovations, which can be used for forecasting the future of innovations. This study aims to make the identification of such mechanisms less costly in time and labor. We present an approach that automates the generation of diffusion models by: (1) preprocessing of empirical data on the diffusion of a specific innovation, taken out by the user; (2) testing variations of agent-based models for their capability of explaining the data; (3) assessing interventions for their potential to influence the spreading of the innovation. We present a working software implementation of this procedure and apply it to the diffusion of water-saving showerheads. The presented procedure successfully generated simulation models that explained diffusion data. This progresses agent-based modeling methodologically by enabling detailed modeling at relative simplicity for users. This widens the circle of persons that can use simulation to shape innovation.     

Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

Many factors influence the adoption of cloud computing. Organizations must systematically evaluate these factors before deciding to adopt cloud-based solutions. To assess the determinants that influence the adoption of cloud computing, we develop a research model based on the innovation characteristics from the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework. Data collected from 369 firms in Portugal are used to test the related hypotheses. The study also investigates the determinants of cloud-computing adoption in the manufacturing and services sectors.     

Internet messaging: An examination of the impact of attitudinal,normative, and control belief systems

While instant messaging (IM) has been very popular among teenagers and college students for social and recreation communication, its use in corporate settings has been limited. We examined the factors that influence the intention to use and actual use of IM. A research model was developed based on diffusion of innovation and Socio-psychological theories. The model examined the influence of seven variables in three belief structures (the attitudinal, normative, and control). The model was empirically validated using a field survey of 349 respondents. The results indicated that five of the seven variables explained about 41% of the variance in the intention to use IM. The five significant variables were: utilitarian beliefs, hedonic beliefs, subjective norms, critical mass, and ease of use. Affiliation motivation was not significant and social belief had a negative impact on intention. As expected, intention to use had a significant influence on actual usage.     

Gender,culture and determinants of behavioural intents to adopt mobile commerce among the Y Generation in transition economies: evidence from Kazakhstan

This study investigates perceived risk and trust in relationship to the Diffusion of Innovation Theory [Rogers, E.M., 1962. Diffusion of innovations. Glencoe, IL: The Free Press; 1983. Diffusion of innovations. 3rd ed. New York: The Free Press] from a cultural perspective to understand the determinants of behavioural intent to adopt mobile commerce among the Y Generation in Kazakhstan. Surveys from 345 university-level students and subsequent structural equation modelling revealed perceived risk, trustworthiness and Rogers’ five innovation characteristics are important determinants. Perceived risk and trustworthiness are important determinants because of the high uncertainty avoidance characteristics of the Kazakh society. This study advances theory regarding culture- and generation-based characteristics to transition economies by verifying theoretical proposition regarding the behavioural intent towards mobile commerce adoption, resulting in a greater understanding of mobile commerce adoption among the Y Generation in transition economies. Marketing implications are discussed.     

Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study

In this study, secondary school teachers’ acceptance of a digital learning environment (DLE) was investigated. Questionnaires were taken on three times (T1/T2/T3) during the same school year, with the Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical framework. Next to questionnaires, user-logs were collected during the entire school year. A total of 72 teachers completed a questionnaire on at least one occasion: 64 teachers responded at T1, 41 at T2, and 55 at T3. We first investigated which factors influence teachers’ acceptance of a DLE. The main predictors of DLE acceptance were performance expectancy and social influence by superiors to use the DLE. Effort expectancy and facilitating conditions were of minor importance. We then investigated how well the amount of final observed use could be predicted, and found that at T1 about one third, at T2 about one fourth and at T3 about half of the variance in observed use was predicted by attitude, behavioral intention and self-reported frequency of use. Our study showed that to maximize use of a DLE, its usefulness should be demonstrated, while school boards or principals should strongly encourage teachers to (start to) use the DLE.     

Conceptual design evaluation considering the ambiguity semantic variables fusion with conflict beliefs: An integrated Dempster-Shafer evidence theory and intuitionistic fuzzy -VIKOR

Quantifying the uncertain linguistic evaluation from decision-makers (DMs) is one of the most challenging parts in the conceptual design decision. Although fuzzy decision models have been widely used to capture potential uncertainty by assigning a fuzzy term with the certain belief, the ambiguity subjective evaluation of semantic variables with conflict beliefs derived from DMs have not been well addressed. To solve this drawback, a concept decision model based on Dempster-Shafer (DS) evidence theory and intuitionistic fuzzy -Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) considering the ambiguity semantic variables fusion is proposed. Firstly, by incorporating semantic variables of intuitionistic fuzzy sets (IFSs), the diversified semantic judgments and its belief will be taken into account to form an ambiguity semantic initial decision matrix; secondly, the DS combination rule will be used to fuse the different semantic variables of multi-DMs in each scheme, update the belief of each semantic variable, and then the semantic fusion value matrix of the scheme will be constructed; finally, the weight of each evaluation objective will be calculated based on the value matrix and information entropy model, IFS-VIKOR model will be constructed to rank the concepts. A case study of the tree climbing and trimming machine will be employed to verify the proposed decision model. This decision model considering diversifying semantic variables and the conflict belief is proven to be effective compared with the IFS-SAW and ISF-TOPSIS.