Aspects Of Technology Adoption Research Articles

We Need Digital Inquiries Before Arrival! Key Drivers of Hotel Customers’ Willingness to Pay Premium

ABSTRACT While prior research has examined various aspects of technology adoption, there is a limited focus on the specific dynamics of digital concierge services within the hospitality setting. Hence, the primary purpose of this paper is to examine the key drivers of willingness to pay for digital concierge services in Egyptian four-star hotels, with a particular emphasis on perceived value, usability, and the moderating effects of age and gender. Through a comprehensive survey of 624 potential customers and applying the Technology Acceptance Model, this paper repositions the concept of perceived usefulness as a central driver of user beliefs and intentions. Findings have implications for hotel managers, marketers, and industry professionals, offering guidance on enhancing user adoption and effectively communicating the advantages of digital concierge services to diverse customer segments. This research also sets the stage for future investigations into the evolving landscape of technology adoption within the hospitality industry.

Human Resources and Technology Integration in Effective Public Management

This study aims to explore effective public management within the framework of the integration of human resources and technology. By utilizing current literature review approaches, this study focuses on sources published within the last decade. Employing keywords related to human resource and technology integration on platforms like Google Scholar, the research aims to extract relevant and significant information from a wide range of scholarly materials. The findings in this study confirm that the integration of human resources and technology in public management is an essential foundation for creating responsive, transparent , and high-quality public services. Managing public management and optimizing public services in accelerating technology includes using digital platforms; human adaptation to technology; transparency and participation of the technology community; and data security. Meanwhile, the integration of human resources and technology in innovation and development can be described in the use of technology and data analysis; collaboration, and improvement of human resources; as well as a survival strategy not to change. Finally, to see the management of change in public management in a technological framework from the aspects of technology adoption, changes in organizational culture, service efficiency and improvement, HR training and development, and monitoring and evaluation.

Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment.

BackgroundTo experience external objects in such a way that they are perceived as an integral part of one’s own body is called embodiment. Wearable technology is a category of objects, which, due to its intrinsic properties (eg, close to the body, inviting frequent interaction, and access to personal information), is likely to be embodied. This phenomenon, which is referred to in this paper as wearable technology embodiment, has led to extensive conceptual considerations in various research fields. These considerations and further possibilities with regard to quantifying wearable technology embodiment are of particular value to the mobile health (mHealth) field. For example, the ability to predict the effectiveness of mHealth interventions and knowing the extent to which people embody the technology might be crucial for improving mHealth adherence. To facilitate examining wearable technology embodiment, we developed a measurement scale for this construct.ObjectiveThis study aimed to conceptualize wearable technology embodiment, create an instrument to measure it, and test the predictive validity of the scale using well-known constructs related to technology adoption. The introduced instrument has 3 dimensions and includes 9 measurement items. The items are distributed evenly between the 3 dimensions, which include body extension, cognitive extension, and self-extension.MethodsData were collected through a vignette-based survey (n=182). Each respondent was given 3 different vignettes, describing a hypothetical situation using a different type of wearable technology (a smart phone, a smart wristband, or a smart watch) with the purpose of tracking daily activities. Scale dimensions and item reliability were tested for their validity and Goodness of Fit Index (GFI).ResultsConvergent validity of the 3 dimensions and their reliability were established as confirmatory factor analysis factor loadings (>0.70), average variance extracted values (>0.50), and minimum item to total correlations (>0.40) exceeded established threshold values. The reliability of the dimensions was also confirmed as Cronbach alpha and composite reliability exceeded 0.70. GFI testing confirmed that the 3 dimensions function as intercorrelated first-order factors. Predictive validity testing showed that these dimensions significantly add to multiple constructs associated with predicting the adoption of new technologies (ie, trust, perceived usefulness, involvement, attitude, and continuous intention).ConclusionsThe wearable technology embodiment measurement instrument has shown promise as a tool to measure the extension of an individual’s body, cognition, and self, as well as predict certain aspects of technology adoption. This 3-dimensional instrument can be applied to mixed method research and used by wearable technology developers to improve future versions through such things as fit, improved accuracy of biofeedback data, and customizable features or fashion to connect to the users’ personal identity. Further research is recommended to apply this measurement instrument to multiple scenarios and technologies, and more diverse user groups.

A meta-analysis of determinants of RFID adoption around the world

PurposeThis paper aims to explore various factors associated with radio frequency identification (RFID) adoption with quantitative meta-analysis. More specifically, this paper attempts to measure key variables of RFID adoption derived from Rogers’ innovation theory and further examines how state intervention influences the process of RFID adoption. First, this paper compares, relying on a meta-analysis, various mean effect sizes among technological, organizational and environmental factors (i.e. government-driven policies) that Rogers suggested in his innovation model.Design/methodology/approachIn mean effect size analysis, this paper finds that the technological factor is the most powerful factor that affects the RFID adoption. The technological factor is statistically significant across all regions, including North America, Europe and Asia. The organizational factor is significant only in developing countries like Southeast Asian countries and East Asian countries. Environmental factors like government intervention for facilitating RFID adoption are strong enough only in Southeast Asia and Europe.FindingsThis paper finds that government’s supportive policy is more effective in Europe but not in America, while external pressure is still more effective in Southeast Asia. These results implicate that developmentalism or government-driven policy can be effective not only in developing countries but also in the case of developed countries. In addition, this paper conducts a seemingly unrelated regression (SUR) analysis based on Fisher’s standardized score.Originality/valueIn SUR analysis, this paper finds that the correlations between RFID adoption intention and three innovation factors vary across industrial areas. More specifically, the manufacturing area shows negative moderating effect on all three equations where correlations between Rogers’ innovation factors and RFID adoption intention are meta-dependent variables. Also, RFID adoption is accelerated when the size of the firm is large or the location of the firm is in Southeast Asia. This result implicates that the aspect of technology adoption can be changed by region and type of industry.

New aspect of technology adoption: a case study of students’ self-made English-learning video

Understanding how students perceive and adopt technology in their daily life is particularly relevant to today’s Information and Communication Technology (ICT) environment, in which versatile ICT tools are becoming more and more pervasive, almost ubiquitous in our day-to-day activities. In the context of English as a foreign language, this study investigates how Chinese students produce an English video with over-the-counter technology tools for accomplishing a language-learning task. In particular, this study probes into how youngsters today respond to a given learning task, how and why they adopt technology tools available and of use to them for the task. Data collection is through observation, students’ reports, and interviews. The focus on specific case study settings offers a closer look at how the use of technology tools is socially and technologically shaped in each individual case. Students reported that they welcomed and valued such learning experience and had in general positive attitude toward the tools and their use in learning. The results reveal students’ willingness and capability in adopting technology tools, whether familiar or unfamiliar to them, and appropriating these tools to fulfill their individual leaning needs. Implications have been drawn to provide a new aspect of technology adoption in school learning.

New theories and methods for technology adoption research

This special issue includes six articles on different aspects of technology adoption that represent the development and application of different theoretical and methodological approaches to the business problems that they treat. In terms of theory, three of the articles use behavioral and organizational theories, including adaptive structuration theory, management fashion theory, the unified theory of technology acceptance, the technology acceptance model, and diffusion of innovation theory. The other two are based on economic theory, including network effects theory, and economic growth theory. The methods used are also dramatically different in each of the studies. Three studies use field research and survey methods that are common in organizational and behavioral research designs. The authors of these studies are: Sinclaire and Vogus; Park, Lee and Yi; and Hester. Techatassanasoontorn and Suo’s study, in contrast, uses agent-based computational simulation and network modeling to produce its results. Westland’s article discusses affective information technologies for data acquisition in survey research, and employs a detailed historical overview of the literature, along with survey methods and data analysis to illustrate its application. Finally, the study by Ho, Kauffman and Liang uses panel data econometrics and a variety of refinements that permit the triangulation of evidence based on the assumption of somewhat different modeling relationships. Taken together, the contents reflect some of the current advances that are occurring in the literature with respect to theory and methods for technology adoption research that we hope to showcase in this special issue. The special issue opens with a piece by Jollean Sinclaire and Clinton E. Vogus on ‘‘Adoption of Social Networking Sites: An Exploratory Adaptive Structuration Perspective for Global Organizations.’’ Since social media have become popular with Internet users around the world, global businesses have also recognized their potential importance as a means to be in touch with their customers and the marketplace overall. The theoretical focus of this research involves the dual use of management fashion theory and adaptive structuration theory in order to show the variety of beneficial uses to which organizations are applying social media. Their research is survey-based, and includes interviews with middle to senior managers in a total of 72 large firms that have global operations. In addition to reporting the empirical regularities of social media use, the authors also characterize the different purposes that the organizations have for investing in social media. For example, they report passive versus active applications, proactive versus reactive implementations, and tactical versus strategic uses. The authors also suggest that adaptive structuration theory enables them to interpret the use of social media in global organizations in terms of the low levels of restrictiveness and sophistication, crossed with the open nature of the social media environment on the Internet, to draw conclusions about the basis for further technological innovations with social media, as well as related changes in the way that organizations operate and structure themselves in relation to these technological innovations. Although their study is exploratory and early in its cycle of development, it nevertheless offers a useful perspective on the various issues that can be pursued in follow-on research to gain a fuller understanding of the R. J. Kauffman (&) School of Information Systems, Singapore Management University, 80 Stamford Road, Singapore 198702, Singapore e-mail: rob7585@gmail.com