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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.

Head-mounted tablets (HMTs), a type of augmented reality (AR) wearable device that is worn on the head like glasses, have gained vast attention in the manufacturing industry as they enable workers to receive hands-free support. For emerging technologies, it could be useful to predict their acceptance among potential users. Hence, various researchers have utilized the technology acceptance model (TAM) to forecast such acceptance, in the past decade also including HMTs and other AR smart glasses. In this research, an exploratory model is developed to investigate which factors allow to predict a future acceptance of HMTs for training new employees on the shop floor. After collecting 46 survey responses and applying a partial least squares structural equation modeling (PLS-SEM) approach, the findings indicate that the protection of personal data and satisfaction with the technology significantly influence the usage of HMTs among new employees. Furthermore, a significant effect was found for experience and ease of use.

Although several previous studies have investigated the success factors and implementations of data warehouses, only few of them have explored the end-users' perceptions of data warehouses. Moreover, none of these previous studies were conducted in a company outside North America. Thus, this study was conducted to identify the data warehousing system characteristics affecting end-users' usage and perceived impact of using data warehouses in Korean financial companies. A research model for end-users' usage and perceived impact of using data warehouses was developed based on the Technology Acceptance Model and the IS Success Model. Then, a survey questionnaire was design to collect data from the data warehousing users in four leading Korean financial companies. We analyzed these data to test the proposed hypotheses by using Structural Equation Modeling. Results of this study suggest that Data Quality and End-user Support and Training are significant system characteristics affecting end-users' usage of data warehouses and perceived impact of data warehouses.

The main goal of our research is to analyze users' acceptance of mobile payment systems, considering the population's widespread use of mobile devices. In order to explain acceptance, we have added trust and perceived risk to the traditional variables. To this end, we have carried out a study through an online survey to a national panel of Internet users. The results of this survey check the implications considered on the basis of the Technological Acceptance Model, the Theory of Reasoned Action and the trust building principles for a given system. The conclusions and implications for management provide alternatives for companies to promote this new business by means of the new technical developments.

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.

Artificial intelligence-based investment services (robo-advisors) are becoming increasingly commercialized. Robo-advisors are expected to expand further due to the enhancement of accessibility to investment for general investors through customized portfolio selection and automated transactions established upon the artificial intelligence-based algorithm. This study comprehensively investigates factors that influence acceptance intention of and resistance to robo-advisors using a combined model of technology acceptance model and innovation resistance model. The model was examined through conducting a choice-based conjoint analysis of 158 users with investment experience and age ranging from 20s to 60s. The independent variables of the research for robo-advisors are transparency, customization, social presence, and user control. The effects of the independent variables on acceptance intention and innovation resistance are analyzed, respectively, through mediator variables of perceived usefulness, perceived complexity, and perceived safety. This study indicates the fundamental factors for the promotion of the domestic robo-advisor market based on the analysis of further advanced overseas robo-advisor markets. The significance of this study derives from providing implications on the direction of development for companies or financial institutions in the sphere of robo-advisors.

This study aims to investigate the perceived enjoyment and service quality of service robots with a user acceptance model to predict user acceptance of service robots in global markets. Service robots are currently providing various services in various fields. A total of 1014 users worldwide participated in an online survey to analyze our proposed research model. By using the method of structural equation modeling with maximum likelihood, this study finds that service quality and perceived enjoyment by users significantly affect the factors of usefulness and ease of use in adopting service robots for various tasks. Also, this study confirms the value of the traditional technology acceptance model. In other words, the present study suggests a new framework for understanding the perceptions of users about the emerging technology of service robots in various fields worldwide.

This study identifies the cultural influences on the adoption of mobile commerce based on the comparative cases of Taiwan and Malaysia, so as to give insights to mobile operators' global entries. Using Hofstede's five cultural orientations as moderators in conjunction to Davis' technology acceptance model (TAM), the combined model has been tested by the confirmatory factor analysis for measurement validity and the multiple regression approach for the moderation effect of cultural influences on the adoption of novel mobile services. This results show that uncertainty avoidance (UA), individualism (ID), and long-term (LT) orientation have significant influences on the influence of perceived usefulness (PU) and perceived ease-of-use (PEOU) regarding the adoption intentions of mobile commerce. However, the power distance (PD) and masculinity (MA) have different effects in Taiwan and Malaysia. These results not only supplement the explanation of the technology adoption, but also hold strategic implications for the global expansion of mobile operators by emphasizing on local preferences and their differentiation advantages.

The study explores relationship between technological orientations and demographics of bottom of the pyramid (BOP) entrepreneurs in Ghana. The study reviewed literature on the BOP concept. Based on the reviewed literature, hypotheses were developed for testing. Data was collected from 287 micro-entrepreneurs using a structured questionnaire. The data collected was analyzed using the analysis of variance (ANOVA) and regression analysis. The study found some relationships between technology acceptance, connectivity to networks and entrepreneurial demographics. This provides the information necessary for information communications technology (ICT) and technology companies seeking to expand to these new markets as top of the pyramid markets saturate.

Drawing upon diffusion of innovation (DoI) theory, technology acceptance models (TAMs), social network perspective and resistance literature, the study developed and tested a model, named integrated resistance factor model (IRFM), which integrates four key elements i.e. resistance indicators, support network factors, experience and disposition factors and the integration and accessibility factors. The study investigated if the model applies in a selected technology, namely online project information management systems (OPIMS). The IRFM was tested with partial least square (PLS) techniques and results from the $R^2$ analysis of the whole PLS structural model were significant and the data were coherence with the proposed model $(R^2=0.484)$. These results indicated that user resistance to technology innovation can be predicted using the IRFM.

This paper investigates drivers of technology acceptance of and payment for digital journalism. Environments in which digital media content and technology are fused from the perspective of the user, have yet to be researched with technology acceptance models. In this paper, we subsume digital journalistic content as such technology and investigate how the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) explains the use of journalism. Further, we extend traditional acceptance research by investigating not only usage, but payment intention and behavior. To this end, we refer to a representative survey of the German online population ($N=4240$) and estimate effects within the framework of a structural equation model. The results reveal that the traditional model is better suited to explain usage, but can also explain a substantial part of the variance in payment. Above all, price value, hedonic motivation and social influence appear to have the strongest positive effects on intent and behavior. Surprisingly, effort expectancy has a positive influence on paying intent. Managers who engage in content creation should highlight these aspects. The findings further contribute towards a much needed, better understanding of user behavior across technologies.

Disruptive neo-broker applications (NBAs) enable users to access financial markets easily and have attracted millions of investors worldwide. As a gamified implementation for financial services, NBAs provide a unique research setting in which to examine the determinants of NBA acceptance among investors, some of whom are wholly inexperienced in financial products. We propose a research model specifically designed to explain the usage intention of NBAs by drawing on established factors from technology acceptance and financial behavior research. We validated the research model empirically with structural equation modeling (N = 653) and found significant drivers of NBA acceptance. Distinct from previous finance technologies, we confirmed consumption-oriented factors, including performance expectancy, hedonic motivation, price value, and habit as antecedents of NBA usage intention. From the financial perspective, initial trust and overconfidence were identified as further drivers, while overconfidence in turn is shaped by risk aversion and subjective financial knowledge, indicating a mediated effect on NBA acceptance. Thereby, we present the first NBA-tailored acceptance model that links technology characteristics and financial behavior. Correspondingly, we provide implications for theory and practice.

This research was conducted to fill the research gap between perceived ease of use and intention to use by exploring the Service-Dominant Logic Theory in the development of ergo-functional value resonance. The process involved surveying 352 MacBook users through Instagram. The data obtained were processed using AMOS 23 and the results showed the possibility of ergo-functional value resonance serving as a mediator between perceived ease of use and intention to use. This research contributes to the perspective of Service-Dominant Logic, which regards the product as a medium for value exchange, with the actual value being the functional aspect of the product.

The introduction of innovations in organizations with high professionalization seems to lead to mixed results in practice. It is widely known that innovation adoption success is largely dependent on user commitment and absorption of the innovation in work processes. However, the hardest task for any person interested in innovation implementation activities is how to achieve high levels of commitment and acceptance of those stakeholders that matter the most. In this article, we argue that much can be gained by having good insights in indicators of both influence and acceptance of stakeholders during innovation implementation and adoption phases; the so-called stakeholder dynamics. To gain insights in a stakeholder's potential influence and potential acceptance of the innovation during the innovation implementation project, we argue that stakeholder capacity and intentions are key characteristics. By reviewing relevant theoretical foundations relating to innovation implementation, technology acceptance and stakeholder theory, we argue that literature considering the combination of both capacity as well as intentions in an integrated evaluation model is scarce.

In this article, we are presenting a synthesized model and methodology for the iterative evaluation of stakeholder dynamics during innovation implementations; the stakeholder-based innovation acceptance web (SIAW). Insights in the combination of capacity and intentions dimensions can help in focussing and matching engagement strategies. The practical model, as part of the iterative methodology, aids in visualizing and classifying stakeholders in order to determine stakeholder engagement priorities during an innovation implementation project.

Guided by the literature in diffusion of innovations, the technology acceptance model, and risk information sharing, this paper reports the results of a survey distributed to National Weather Service (NWS)-Memphis Weather Forecast Office (WFO) stakeholders who receive the Mississippi River Outlook product and its embedded 28-day experimental forecast. The survey examined perceptual factors that likely influence participants’ adoption of flood forecast information provided in the Outlook, and assessed Outlook recipients’ forecast-sharing behaviors and perceptions. Results revealed that the first responders perceived the Outlook product to be more useful than experts, while experts experienced less social influence to use it than first responders or the public. Although participants were generally favorable toward and intended to use the Outlook in the future, experts were significantly less likely to do so and hold a favorable attitude. The majority of participants reported sharing the Outlook with an average of 11 people, and were most likely to share either the entire Outlook verbatim or specific, verbatim sections. Implications of the Outlook’s perceived characteristics and participants’ Outlook-sharing behaviors are discussed.

Purpose: Increased penetration of mobile phones has built great opportunities for increasing the level of financial inclusion around the world. Digital channels help banks in not only attracting new customers but also in ensuring that the existing ones remain loyal. This chapter studies the incentives to encourage the use of mobile banking by smartphone and tablet users.

Design/methodology/approach: An online survey is conducted to explore possible relations between the potential determinants of the intention to use mobile banking. The model is assessed with Partial Least Squares Structural Equation Modelling (PLS-SEM) technique.

Findings: The results show that perceived usefulness and perceived efforts tend to be the most significant factors in the adoption of mobile banking. However, such factors as perceived risks, compatibility with lifestyle and social influence are found to be insignificant due to some cultural and institutional features attributed to CIS countries.

Originality/value: This chapter contributes to the field of m-banking studies by focusing on both smartphone and tablet users. At least, the majority of respondents represent Y and Z generations who seem to move from traditional banking to digital channels.

The main purpose of this study is to develop and improve a framework utilising network externality and monetary factors in order to provide a theoretical framework for the motivation behind customers’ acceptance of self-driving cars from companies that would service self-driving cars. The survey was conducted after a concept of level 5 of self-driving cars by NHTSA (2016) was explained to respondents. This study examined the impact of network externalities and monetary issues on perceived benefit and sacrifice, including perceived value, trust and intention to use. The results indicated that indirect network externalities have a stronger effect than direct network externalities on the perceived benefit and intention to use. This study also revealed that concerns for safety and privacy were the main barriers to intention to use. Furthermore, the trust and value are considered important factors by consumers who choose self-driving cars; thus, self-driving car makers should consider how to increase these points. This study may offer a comprehensive model for the acceptance of self-driving cars and is expected to help expand and advance the Value-based Adoption Model. This study also provides practical implications for marketing related to customers’ technology acceptance.