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Cloud-based solutions for software development activities have been emerging in the last decade. This study aims to develop a hybrid technology adoption model for cloud use in software development activities. It is based on Technology Acceptance Model (TAM), Technology–Organization–Environment (TOE) framework, and the proposed extension Personal–Organization–Project (POP) structure. The methodology selected is a questionnaire-based survey and data are collected through personally administered questionnaire sessions with developers and managers, resulting in 268 responses regarding 84 software development projects from 30 organizations in Turkey, selected by considering company and project sizes and geographical proximity to allow face-to-face response collection. Structural Equation Modeling (SEM) is used for statistical evaluation and hypothesis testing. The final model was reached upon modifications and it was found to explain the intention to adopt and use the cloud for software development meaningfully. To the best of our knowledge, this is the first study to identify and understand factors that affect the intention of developing software on the cloud. The developed hybrid model was validated to be used in further technology adoption studies. Upon modifying the conceptual model and discovering new relations, a novel model is proposed to draw the relationships between the identified factors and the actual use, intention to use and perceived suitability. Practical and social implications are drawn from the results to help organizations and individuals make decisions on cloud adoption for software development.

This study investigates the critical success factors (CSFs) of marketing automation (MA) for business-to-business (B2B) IT companies. The research employs a distinctive approach combining qualitative and quantitative methods to study the cause–effect phenomena and ascertain the rank of the CSFs to address the lack of comprehensive research in the existing literature. Utilizing the technology acceptance model (TAM) and DeLone & McLean’s information system success model (D&M ISSM) as a theoretical framework, the study underscores the underexplored domain of MA in the B2B IT sector. Expert interviews and the decision-making trial and evaluation laboratory method (DEMATEL) are employed to understand and rank CSFs comprehensively. Methodological triangulation is applied to the findings of expert interviews and DEMATEL analysis to confirm the CSFs of MA. The study finds that “system integration,” “flexibility and adaptation,” “personalized information,” and “general satisfaction” are the highest-ranked CSFs for adopting MA among B2B IT firms. This study provides valuable insights for managers in B2B IT companies on the CSFs driving MA adoption and effectiveness, enabling them to make informed decisions and optimize their MA strategies.

This study aims to adapt the Expectation Disconfirmation Theory and Technology Adoption Model to unveil provocative roles in patients’ satisfaction cognitions and subsequent continuity behaviors pertaining to telemedicine services in rural Bangladesh. A quantitative research model is developed and validated using a two-staged deep neural network and partial least squares structural equation modeling approach. The findings of this study provide evidence that five salient determinants; expectations, disconfirmation, performance, usefulness, and ease of use dominantly contribute to predicting patients’ satisfaction concerning continuity with telemedicine. This contributes to health informatics and behavioral literature by clarifying the complex interplay between patients’ satisfaction and determinants of continuity behavior in telemedicine’s domain. The findings provide novel insights into predictions of complex patients’ attitudes toward telemedicine continuity, and dynamic changes in adoption trends thereby assisting health professionals, global health experts, policymakers, and IS community in making higher quality informed decisions for people-centered future models of care.

This study proposes a research framework that integrates personal innovativeness, perceived risk, cost and enjoyment with the technology acceptance model (TAM). We used the proposed model to explore the antecedents of consumer behavioural intention (BI) to adopt mobile commerce (m-commerce). Excluding missing answers and invalid questionnaires, 477 valid responses were collected. In addition to confirmatory factor analysis (CFA), we used structural equation modelling (SEM) to examine the relationships among the constructs in the proposed model. Our findings indicated that the younger group (under 30) had lower stickiness to m-commerce. Among the constructs, perceived enjoyment (PE) had the most significant influence on BI, followed by attitude, perceived ease of use (PEOU), perceived usefulness (PU) and perceived risk. Our research results could be used as a guide and reference for m-commerce service providers to improve and operate their services.

Although technology acceptance and adoption have been intensively investigated using well-established theories called the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT), this paper claims that Emerging Technology (ET) has particular characteristics that differentiate it from the adoption of traditional technology that has been used for a long time. Therefore, it argues that TAM and IDT are not sufficient to investigate the adoption of ET. Investigating the adoption of ET requires additional, unique, non-traditional factors (constructs). Therefore, this paper aims first to conceptually develop a model of ETs adoption (META). To achieve this objective, TAM and IDT will be reviewed. Then, this paper will use the characteristics of ET as the basis for developing the factors that influence the adoption of ET. Secondly, to validate the model, a case study of an ET (i.e. Virtual Reality) will be analysed in-depth to reveal the factors that influence on its adoption by applying META. A discussion of META applications and implications for future research are also provided.

Online social networks (OSNs) are a terrifically emerging platform for information dissemination around the world. Like other settings, acceptance and adoption of OSNs among the individual capital market investors are extensive. The study developed a conceptual model for behavioural finance integrating a technology acceptance model (TAM) and valence framework from the information systems and marketing disciplines, respectively. The integrated model added some persuasive constructs from social capital and diffusion innovation theory with a view to explore the key factors swaying investors’ intention to adopt and use the OSN’s services. By using an online and offline structured questionnaire, 510 data were collected from individual capital market investors in Bangladesh. Structural Equation Modelling (SEM) was used for data analysis. The study determined that the proposed integrated model with additional constructs outperformed other models. Perceived usefulness (PU), perceived enjoyment (PE), trust and personal innovativeness in IT (PIIT) had a substantial sway on the investor’s intention to use OSNs. Hedonic value is more robust predictor of intention to use OSNs than utilitarian value. Intention to use properly mediated the relationships and had strong significant impact on investor’s investment decision. But perceived ease of use (PEOU) and perceived risk had no direct significant effect on intention to use. PEOU had significant impact on intention to use through PU and PE. Gender moderated the relationships of different constructs with the intention to use OSNs for investment decisions in the capital market. It contributes knowledge by including the integration of different models in stock market perspectives and the inclusion of technological aspect in the behavioural finance literature. The findings of the study will also succor different firms and regulatory authorities to adopt OSNs as an information dissemination platform.

Whilst the world is witnessing the impact of technology proliferation on human lives and livelihoods, the personal safety of women, though paramount, is still technologically under-addressed. This study empirically investigated the perception of Indian women ($N=$210) towards personal safety apps and their intention to accept them to ensure personal safety. This study uniquely blended the Fogg behaviour model, which comprises motives, abilities and triggers, with the Technology Acceptance Model (TAM), which comprises perceived usefulness, ease of use and behavioural intentions. Structural equation modelling using SmartPLS 4 was used to analyse the model. Some exciting outcomes emerged from this study. The motives namely subjective norms, facilitating conditions and perceived trust, significantly impacted women’s perceived usefulness of personal safety apps, while the perceived risk was insignificant. The significant impactors of women’s perceived ease-of-use of personal safety apps include the abilities of self-efficacy and technology stress, but exclude perceived behavioural control. With regard to the trigger, only response efficacy impacted women’s behavioural intentions to use personal safety apps, while the magnitude of noxiousness and exposure expectancy did not. Women’s perception of the usefulness and ease of use of personal safety apps significantly impacted their behavioural intentions, ultimately impacting their perception of personal safety. Further, this study presented implications to theory and practice before concluding by stating research limitations and future directions.

The ubiquitous application of smartphones and their advanced development have created an opportunity for using them as coding platforms. In this study, we compared between the use of personal computers (PCs) and smartphones to investigate the factors affecting the use of smartphones in programing. The behavioral intentions of smartphone end-users are inspired by the ease of use perception, enjoyment perception, programing anxiety, perception of external control, and smartphone design aesthetics. Although the $R^2$ value of the smartphone model was lower than that of the PC model, the end-users’ adoption decisions could have shifted toward accepting the use of smartphones for programing had their decisions been free of enforcement. In this study, design aesthetics and programing anxiety were introduced to Technology Acceptance Model 3 in an Arabic environment. Additionally, the model was creatively applied for guiding practitioners in two situations. First, when organizations are in the quest for emerging technology to replace the legacy technology, they might apply the presented side-by-side comparison of the use of PCs with that of smartphones in programing. Second, at a time when decision makers analyze what might hinder the adoption of a recently introduced technology, the model can be a successful hand tool guiding the top management in identifying technology acceptance interventions, an approach this research revealed. Furthermore, in this paper, the research implications and recommendations are presented for technology practitioners and designers.

This research aims to create a better understanding of cryptocurrency adoption. The research framework is adapted from the Technology Acceptance Model (TAM) with additional constructs: social commerce, hedonic motivations, and utilitarian motivation. A quantitative research method was chosen for this study. A total of 54 respondents are collected using a snowball non-probability sampling method. The results show that Hedonic motivation and utilitarian motivation that represent subscription-based online services prove to have an impact on perceived usefulness. However, perceived usefulness fails to impact behavioral intention to use. Social commerce representing social interaction in the model has proven that it impacts behavioral intention to use with the mediation of perceived trust.

The interest in the use of the ChatGpt tool by professionals in the tourism sector is increasing, but the acceptance of this tool by these professionals is not the same for all, there being different factors that affect its acceptance. In this chapter, first, the interest in this topic is demonstrated by means of a bibliometric study formed by related scientific publications, second, a co-occurrence study is carried out on the publications found to determine the most significant variables, and, from them, lastly, to obtain the factors mentioned at the beginning, thus creating a theoretical adaptation of the technological adaptation model, that model how the tourism sector comes to accept and use ChatGpt. With this information, a company in the tourism sector has a theoretical evaluation model to measure the degree of acceptance of its workers toward ChatGpt tools, being able to distinguish the strongest points and having the opportunity to establish an adaptation strategy according to the weakest points.

In the wake of the rapid development of mobile internet, this paper studies the influence factors that affect the use of mobile information platform for small and medium enterprises (SMEs). Through the analysis of statistics based on 237 samples of SMEs questionnaire survey responses, we demonstrated that perceived usefulness and perceived ease of use have positive impacts on the adoption attitude towards mobile information platform, which in turn has a positive effect on usage intention. Therefore, subjective norms and the platform’s public image positively influence the SME’s usage intention.