Acceptance Of Internet Of Things Research Articles

Unlocking determinants of smart construction: an integrated model of UTAUT2, TTF, and perceived risk for IoT acceptance in AEC industry

PurposeThe Internet of Things (IoT) offers substantial potential for improving efficiency and effectiveness in various applications, notably within the domain of smart construction. Despite its growing adoption within the Architecture, Engineering, and Construction (AEC) industry, its utilization remains limited. Despite efforts made by policymakers, the shift from traditional construction practices to smart construction poses significant challenges. Consequently, this study aims to explore, compare, and prioritize the determinants that impact the acceptance of the IoT among construction practitioners.Design/methodology/approachBased on the integrated model of Unified Theory of Acceptance and Use of Technology (UTAUT2), Task-Technology Fit (TTF), and perceived risk. A cross-sectional survey was administered to 309 construction practitioners in China, and the collected data were analyzed using structural equation modeling (SEM) to test the proposed hypotheses.FindingsThe findings indicate that TTF, performance expectancy, effort expectancy, hedonic motivation, facilitating conditions, and perceived risk exert significant influence on construction practitioners’ intention to adopt IoT. Conversely, social influence and habit exhibit no significant impact. Notably, the results unveil the moderating influence of gender on key relationships – specifically, performance expectancy, hedonic motivation, and habit – in relation to the behavioral intention to adopt IoT among construction practitioners. In general, the model explains 71% of the variance in the behavioral intention to adopt IoT, indicating that the independent constructs influenced 71% of practitioners’ intentions to use IoT.Practical implicationsThese findings provide both theoretical support and empirical evidence, offering valuable insights for stakeholders aiming to gain a deeper understanding of the critical factors influencing practitioners’ intention to adopt IoT. This knowledge equips them to formulate programs and strategies for promoting effective IoT implementation within the AEC field.Originality/valueThis study contributes to the existing literature by affirming antecedents and uncovering moderators in IoT adoption. It enhances the existing theoretical frameworks by integrating UTAUT2, TTF, and perceived risk, thereby making a substantial contribution to the advancement of technology adoption research in the AEC sector.

Internet of Things (IoT) System for Diagnosing Power Transformer Faults using the IEC 60076-1 Standard: Review

The evaluation of Internet of Things (IoT), which are contracted to research the adoption or acceptance of IoT technology, is deemed to be a subject of vital importance. Studying the adoption or admissibility of IoT technology is not a brand-new study area, and numerous scholars have undertaken the task. The current and upcoming generations of Internet are being shaped by the Internet of Things (IoT). The main aim of this survey, contrasted with previous surveys, is to systematically evaluate the IoT technology research in condition monitoring of power transformers to proffer a thorough cursor that can facilitate scholars to accomplish additional research in IoT acceptance. Almost all appliances may now be remotely monitored and connected to the internet thanks to the Internet of Things. Power transformers play a crucial role in electrical distribution networks, and their reliable operation is paramount. The existing diagnostic tests outlined in the IEC 60076-1 standard are essential for ensuring transformer health but suffer from manual procedures, leaving them susceptible to human error. This traditional method not only introduces the potential for inaccuracies due to human involvement but also incurs significant operational costs and delays. The need to physically dispatch technicians to transformer sites for routine diagnostics hampers timely fault detection and preventive maintenance. Therefore, there exists a pressing need to modernize and enhance the diagnostic procedures by integrating emerging technologies like the Internet of Things (IoT). This paper will review the most recent techniques for transformer health tracking system using IoT and highlight the contemporary approaches. A total of 50 primary research literature that was published between 2018 and 2024 were surveyed in this review paper.

Investigating The Content Validity of An Iot-Acceptance Survey Instrument in Higher Education: A Study in The Context of Sindh, Pakistan

In the realm of educational research, this study embarks on a pivotal exploration into the acceptance of the Internet of Things (IoT) by students in their learning environment. Recognizing the indispensable role of content validity in ensuring the robustness of measurement tools, particularly in the context of questionnaire development, this research meticulously employed a systematic approach guided by evidence and best practices. Drawing inspiration from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model, our aim was to bridge a critical gap in the existing body of knowledge. IoT, a cornerstone in Higher Education Institutes (HEIs), prompted the development of a sophisticated educational acceptance instrument. However, prior to embarking on the pilot study phase, our focus turned to the intricate process of content validation. Six esteemed experts were judiciously selected to form our expert panel, each bringing a wealth of experience and knowledge to the evaluation. Employing the Expert Panel Rating Chart (EPRC), their invaluable insights were systematically incorporated, utilizing both item-level Content Validity Index (I-CVI) and scale-level CVI (S-CVI). The outcomes not only met but exceeded the established thresholds of acceptability, affirming the content validity of our instrument. The significance of this meticulous content validation process cannot be overstated. It serves as the bedrock upon which the reliability and validity of our educational acceptance instrument rest. As latent variables and study items underwent meticulous scrutiny and refinement, the resultant instrument emerged as a beacon of precision, ready to navigate the uncharted waters of assessing students' acceptance levels of IoT in their academic journey. In essence, this research underscores the paramount importance of content validity in the development of assessment tools, offering a methodologically robust approach anchored in evidence and best practices. The validated UTAUT2-based acceptance instrument now stands poised to contribute significantly to future studies, unraveling the intricate dynamics of IoT acceptance and its applications in the realm of university education.

Acceptance of IoT by Students in Universities of Sindh, Pakistan: A Proposed Framework

The Internet of Things (IoT) encompasses a convergence of physical and virtual technologies, connecting devices through networks to enhance the overall quality of life. These technologies offer diverse interactions, featuring unique user interfaces and functionalities. Beyond its technological prowess, IoT presents contemporary methodologies and tools, catering to both modern and traditional learning approaches. While IoT components have received considerable attention, there exists a notable gap in exploring factors influencing students' receptiveness to these services. This research centers on the Unified Theory of Acceptance and Use of Technology (UTAUT 2), a widely acknowledged framework for assessing user willingness to adopt new technologies. The primary objective of our pilot study is to establish a conceptual framework based on UTAUT 2 and assess its reliability and validity. This framework sets the stage for future investigations into IoT acceptance among higher education students in Pakistan. To achieve this, an online pilot research questionnaire was distributed via Google Forms to students across various institutions, including the University of Karachi, University of Sindh Jamshoro, University of Sufism and Modern Sciences Bhitshah, Government College University Hyderabad, and SALU Khairpur. Fifty participants completed the questionnaire, and the ensuing data attests to the questionnaire's high reliability (ranging from .795 to .961), affirming its suitability for broader surveys.

Internet of Things (IoT): Real-Time Monitoring for Decision Making Among The Malaysian Contractors

The complexity of construction projects and the poor decision-making process often result in cost and time overruns. With the rapid growth of Industrial Revolution (IR4.0) in Malaysia, Internet of Things (IoT) is being expanded in the construction industry to improve project efficiency and performance. One of the benefits of IoT is it provides a real-time monitoring function to ensure that the construction players can access accurate data and information at the exact time throughout the project life cycle and assist in their decision making. Most studies have focused on how decision making is aided through the application of IoT during the design phase, with few studies focusing on the construction phase, particularly from the perspective of contractors. Without IoT, contractors need to use their professional experiences and limited data to make their decisions. As the contractors have to make a lot of decisions during the construction phase, the adoption of IoT can help the contractors to make fast and precise decisions. Despite its benefits, the adoption of IoT in the Malaysian construction industry is still low. With the focus on Grade 7 (G7) contractors in Malaysia, this paper intends 1) to study the types of IoT-based real-time monitoring technologies for decision-making among the contractors, and 2) to explore the potential improvements of decision making by the contractors after the adoption of IoT. The research adopted the qualitative method via semi-structured interviews. Based on the findings, there are 10 types of IoT-based real-time monitoring technologies being used and they have been utilised in several areas e.g. machineries and equipment, materials, labours, project sequences, waste management, risk management, productivity and quality of works, cost control and environmental protection. The function of the real-time monitoring of IoT such as the real-time data and report, sudden changes reporting, agentless real-time monitoring, root cause analysis, alerts and warnings and predictions, help the contractors in making their decision timely and accurately. Finding reported herein is considered significant towards raising industry players' awareness and acceptance of IoT in construction projects, thereby improving project efficiency and performance.

Internet of Things (IoT) acceptance model – assessing consumers' behavior toward the adoption intention of IoT

PurposeThis study identifies key facets leading to consumers' Internet of Things (IoT) adoption intention.Design/methodology/approachApplying four technology acceptance theories (theory of planned behavior, technology acceptance model, pleasure-arousal-dominance theory and technology readiness index), the author uses deductive quantitative research to develop a model, explaining IoT adoption intentions. Administrated questionnaires are distributed in Egypt among generation-Z and millennials in malls. A total of 400 questionnaires are used for hypotheses testing, applying structural equation modeling (SEM) path coefficient analysis.FindingsResults of this study show that attitude, dominance, perceived usefulness, innovativeness and insecurity impact consumers' IoT adoption intentions; subjective norms, perceived behavior control, pleasure, arousal, perceived ease, optimism and discomfort hold insignificant impact on consumers' IoT adoption intentions.Research limitations/implicationsExploring IoT facets and how these facets impact consumers' adoption intentions, this study helps grasp technology acceptance in theory and practice, guiding scholar and practitioners (e.g. IoT developers, retailers, marketers and other field experts) to consider consumers' mindset when developing, improving and marketing IoT.Originality/valueThe contribution stems from the incorporation of various frameworks used to explain technology acceptance. By studying several theories jointly, the research extracts and identifies a significant set of facets (technical and psychological) to build a comprehensive theory of IoT acceptance, showing consumers' IoT adoption is not entirely similar to adoption of other past innovations. This understanding allows marketers to focus on content that needs to be promoted to boost consumers' IoT purchase plans. Future researchers could replicate the results to IoT categories (e.g. home appliances, cars, healthcare, education, sportswear, etc.) to improve external validity of the findings, among other future research opportunities.

Proposal for Dynamic and Secure Authentication in IoT Architectures Based on SDN

The connectivity of private resources on public infrastructure, user mobility, and the advent of new technologies have added new client and server-side security requirements. Security is the major element of the Internet of Things (IoT) that will certainly reinforce an even greater acceptance of IoT by citizens and companies. Security is critical in this context given the underlying stakes. This paper aims to advance the thinking on authentication of connected objects by proposing an authentication mechanism that meets the needs of IoT systems in terms of security and performance. It is based on SDN (Software-Defined Networking), which refers to a set of advanced technologies that allow for centralized control of network resources. OTP (One-Time Password) is a type of authentication that could be useful in connected object environments and smart cities. This research work extends the principle of OTP and proposes a lightweight authentication method using a new approach to OTP generation that relies on two parameters (Two-Factor Authentication, 2FA) to ensure the security of underlying systems. Subsequently, we leverage the combination of SDN and the 2FA algorithm to propose an adaptive authentication and authorization solution in the IoT network.

NikshayChain: A Blockchain-Based Proposal for Tuberculosis Data Management in India

A recent development in the Internet of Things (IoT) has accelerated the application of IoT-based solutions in healthcare. Next-Gen networks and IoT, supported by the development of technologies such as Artificial Intelligence (AI) and blockchain, have propelled the growth of e-health applications. However, there are some unique challenges in the widespread acceptance of IoT in healthcare. Safe storage, transfer, authorized access control, and the privacy and security aspects of patient data management are crucial barriers to the widespread adoption of IoT in healthcare. This makes it necessary to identify current issues in the various health data management systems to develop novel healthcare solutions. As a case study, this work considers a scheme launched by the Government of India for tuberculosis care called Nikshay Poshan Yojana (NPY). It is a web-based Direct Benefit Transfer scheme to provide a nutritional incentive of INR 500/- per month to all tuberculosis patients. The main objective of this work is to identify the current implementation challenges of the NPY scheme from patient and healthcare stakeholder perspectives and proposes a blockchain-based architecture called NikshayChain for sharing patient medical reports and bank details among several healthcare stakeholders within or across Indian cities. The proposed architecture accelerates healthcare stakeholder productivity by reducing workload and overall costs while ensuring effective data management. This architecture can significantly improve medical care, incentive transfer, and data verification, propelling the use of e-health applications.

Integrating Teachers’ TPACK Levels and Students’ Learning Motivation, Technology Innovativeness, and Optimism in an IoT Acceptance Model

The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integration of attitudes from two different perspectives. Furthermore, other studies have investigated the use of the IoT in non-educational settings, ignoring the effect of the IoT related to the technology acceptance model (TAM) and technological pedagogical content knowledge (TPACK) model. The present work aims to address this research gap by determining the main factors that influence acceptance of the IoT, leading to increased awareness in collaborative learning, where technology forms the core tool in enhancing the use of the IoT. A questionnaire was used to collect data from teachers and students from colleges and universities in Oman and the United Arab Emirates (UAE). The data were analyzed through the structural equation modeling (SEM) method. The findings indicated that there are two levels of positive effects on the intention to use IoT. The first level is technology features, which are represented by technology optimism and technology innovation; these factors are crucial to using the IoT. The second level is learning motivation, which has a close relationship with teachers’ knowledge, and content pedagogy, which has a significant effect on the familiarity with IoT tools and applications. TAM constructs have a positive and direct impact on the intention to use IoT. The practical and managerial implications show that teachers, educators, and students can obtain benefits from these results to help IoT features to suit users’ needs.

Acceptance of educational use of the Internet of Things (IoT) in the context of individual innovativeness and ICT competency of pre-service teachers

ABSTRACT The acceptance of IoT technologies in education by pre-service teachers will affect their intention to use these technologies in the future. Previous research has addressed the effects of variables on the acceptance of IoT technologies in education to a limited degree. Therefore, this study aims to propose and test a structural model that determines educational IoT technology acceptance. This study, the acceptance of IoT in the educational environment is modeled in the context of individual innovativeness and information and communication technologies (ICT) competencies. According to the results of the research conducted with 471 pre-service teachers, 69% intended to use IoT in education is explained in a technology acceptance model (TAM) in which TAM variables, individual innovativeness, and ICT competencies are combined.

Modeling and Analyzing the Impact of the Internet of Things-Based Industry 4.0 on Circular Economy Practices for Sustainable Development: Evidence From the Food Processing Industry of China.

The Industry 4.0 concept proposes that new cutting-edge technologies, such as the Internet of Things (IoT), will grow. The acceptance of IoT in the circular economy (CE) is still in its infancy, despite its enormous potential. In the face of growing environmental affairs, IoT based Industry 4.0 technologies are altering CE practices and existing business models, according to the World Economic Forum. This research investigates the function of IoT-based Industry 4.0 in circular CE practices, as well as their impact on economic and environmental performance, which in turn influences overall organizational performance. China-based enterprises provide information for the study, which includes data from 300 companies. Utilizing a structural equation modeling framework known as partial least squares structural equation modeling (PLS-SEM). The major findings are presented in the study: (I) the IoT significantly improves the activities of the CE; (II) the IoT significantly improves the practices of the CE; and (III) the IoT meaningfully advances the practices of CE (green manufacturing, circular design, remanufacturing, and recycling). Moreover, the findings shows that environmentally friendly business practices help enhance environmental performance of firm, while also stimulating their economic performance; and improved environmental performance has a significant positive influence on firm performance. This research lays the groundwork for contributing nations/companies to attain economic and long-term sustainability goals at the same time by incorporating IoT-based Industry 4.0 technology into CE practices.

Security of IoT Automated Devices Using Different Authentication Methods

Internet of Things (IoT) has brought significant change to the real world and has impacted every aspect of our lives. The acceptance by users of IoT is extremely significant and its widespread use is due to the availability of autonomous devices. A wide acceptance of IoT in applications in every field is constantly gathering sensitive data and providing an increased surface for hackers. Therefore, privacy-preserving authentication and access control are major issues in the field of research. Methods/Statistical Analysis This paper will look at the ways to secure the authentication of sensors-enabled autonomous devices in the IoT. Additionally, for the purpose of ensuring confidentiality during communications, there are a variety of Authentication methods that meet the requirements of Security. Results: Insecure authentication process biometrics, PINs, and other methods offer additional security for IoT that is autonomously implemented. Also, Finger vein technology is one part that IoT could have a significant impact in protecting their devices. 3D Face detection is the most advanced form of 2D face detection. It enhances the processing and processing speed of image capture.

Adoption of Blockchain With 5G Networks for Industrial IoT: Recent Advances, Challenges, and Potential Solutions

It has been proven that Internet of Things (IoT) platforms can improve the performance and efficiency of a wide range of processes. With the acceptance of IoT as a major part of the technology of Industry 4.0, the notion of leveraging the Internet in industries to enable automation and reconfigure existing industrial processes has greatly evolved. By introducing smart technology and intelligent processes, the Industrial Internet of Things (IIoT) is committed to bringing high operational efficiency, enhanced productivity, and effective management to industrial assets. Despite this, the reliance of IIoT on central architecture presents numerous challenges, including the security and maintenance of smart devices, privacy issues owing to third-party participation, and massive computations conducted by a central entity, all of which prevent its widespread adoption in businesses. Emerging blockchain technologies have the potential to transform IIoT platforms and applications. A distributed and decentralized approach followed by blockchain might offer interesting solutions to the challenges raised by IIoT. Furthermore, 5G networks are expected to deliver excellent solutions to meet the demands of decentralized systems, with a focus on application-specific vulnerabilities. Blockchain and IIoT, enabled by 5G, is a viable option to fully explore the potential of contemporary industry. In this context, this article analyzes and examines recent achievements to highlight the major obstacles in blockchain–IIoT convergence and presents a framework for potential solutions. A well-organized literature review by analyzing the existing work in three primary areas: blockchain consensus algorithms used in existing IoT and IIoT applications, blockchain for 5G-enabled IoT networks, and blockchain in industry have been performed, with major findings summarized in each area. Directions for the future are also provided and intend to assist researchers in understanding the full potential of these innovations.

Military acceptance of the Internet of Things: a research model

PurposeThis study aims to examine the perception of military people regarding the use of a network of various intelligent objects, the Internet of Things (IoT), in the future battlespace.Design/methodology/approachA research model that analyzes military acceptance of the IoT is proposed. The model is created by integrating the technology acceptance model and diffusion of innovation theory. Then an empirical study is conducted through a survey, and the proposed hypotheses are tested. The findings are obtained thanks to the structural equation model (SEM), which clearly reveals the overall dependency relationship among independent and dependent variables even when a dependent variable is an independent variable in another relationship.FindingsThe study clearly reveals the significant factors effecting the attitude toward the use of IoT in the military. It also uncovers potential barriers to the adoption of IoT in the military domain. Especially, risk factor seems to have no significant impact on the acceptance of IoT, and also, there seems to be a positive relationship between risk and trust contrary to an expected negative relationship.Originality/valueTo the best of the authors’ knowledge, this study is the first research analyzing the acceptance of IoT in the military domain through hypotheses in a SEM.

Understanding the acceptance of the Internet of Things: an integrative theoretical approach

PurposeGuided by the frameworks of the technology acceptance model, uses and gratifications theory and the information systems success model, this study develops and validates an adoption model for the Internet of Things (IoT).Design/methodology/approachThe measurement and research models are statistically validated via a confirmatory factor analysis and a structural equation modeling analysis of data collected from 262 IoT users.FindingsThe results indicate that the IoT is expected to deliver accurate and up-to-date information via an accessible and reliable system to enhance its usefulness and ease of use, which leads to greater adoption. The results further reveal that sufficient knowledge and adequate understanding of the IoT outweigh technology discomfort, which, in turn, have a positive effect on individuals' motivation to use the IoT.Originality/valueThis study distills a rich set of antecedents to build a comprehensive theory of IoT acceptance and sheds light on the adoption of future pervasive information and communications technologies.

A Consumer-Centric Paradigm Shift in Business Environment with the Evolution of the Internet of Things: A Literature Review

This study attempts to study the evolution of the Internet of Things (IoT) and its implications on the business environment in terms of understanding consumer behaviour and enhancing customer satisfaction through a literature review. A literature search is carried out focussing on the application of IoT for capturing consumer behaviour and enhancing customer experience and satisfaction. NVivo is used to identify the themes of the selected studies and cluster them based on the closeness of themes. It is found that the increasing quest for customer centricity and sustainability in an ever-changing technology environment have made businesses realize the potential benefits of IoT in terms of differentiation and competitive advantage. The perceived benefits influence IoT acceptance and customer satisfaction. However, the perceived risk associated with IoT in terms of privacy and security is a significant challenge for businesses. The future of IoT is based on how businesses are going to mitigate this challenge. While most of the studies suggest frameworks concerning IoT adoption and customer satisfaction in particular sectors or products, this study is unique in a way that it summarizes those studies and gives a brief view of IoT adoption to enhance customer satisfaction across different sectors, products and services.

Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction.

With the ongoing efforts for widespread Internet of Things (IoT) adoption, one of the key factors hindering the wide acceptance of IoT is security. Securing IoT networks such as the electric power grid or water supply systems has emerged as a major national and global priority. To address the security issue of IoT, several studies are being carried out that involve the use of, but are not limited to, blockchain, artificial intelligence, and edge/fog computing. Authentication and authorization are crucial aspects of the CIA triad to protect the network from malicious parties. However, existing authorization and authentication schemes are not sufficient for handling security, due to the scale of the IoT networks and the resource-constrained nature of devices. In order to overcome challenges due to various constraints of IoT networks, there is a significant interest in using machine learning techniques to assist in the authentication and authorization process for IoT. In this paper, recent advances in authentication and authorization techniques for IoT networks are reviewed. Based on the review, we present a taxonomy of authentication and authorization schemes in IoT focusing on machine learning-based schemes. Using the presented taxonomy, a thorough analysis is provided of the authentication and authorization (AA) security threats and challenges for IoT. Furthermore, various criteria to achieve a high degree of AA resiliency in IoT implementations to enhance IoT security are evaluated. Lastly, a detailed discussion on open issues, challenges, and future research directions is presented for enabling secure communication among IoT nodes.

A Study of Factors Influencing on Passive and Active Acceptance of Home Energy Management Services with Internet of Things

Since awareness of the influence of home energy management services (HEMS) with Internet of things (IoT) has grown, the study on the acceptance of IoT services has been expanded. Previous studies, however, have not paid attention to the acceptance itself, focusing only on factors affecting the acceptance. This study attempts to draw meaningful implications by exploring the relationships between the acceptance and the factors affecting it with distinctions between passive acceptance and active acceptance. This study analyzed the ordinal logistic regression models based on a survey of 909 adults 19 years of age and older in Korea on HEMS with IoT. In addition, we attempt the ordinal forest to increase the reliability of the research results. As a result, this study showed that consumers’ perception of usefulness was noticeably important to enhance active acceptance and that those who had high sensitivity to new technology acceptance showed high active acceptance, and older women had higher active acceptance. This study might contribute to the research on IoT acceptance in the energy management sector by classifying the acceptance into active acceptance and passive acceptance beyond the framework of setting the acceptance as a single variable.

Acceptance of IoT Learning Among University Students at Pakistan

2267 Acceptance of IoT Learning Among University Students at Pakistan Humaiz Shaikh1, Zulfikar Ahmed Maher2, Ali Raza3, Muhammad Yaqoob Koondhar4, Saajid Hussain5, Asadullah Shah6 1,6Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Malaysia, humaiz_shaikh@hotmail.com, asadullah@iium.edu.my 2,4Information Technology Centre, Sindh Agriculture University Tandojam, Pakistan, zamahar@gmail.com, yaqoobkoondhar@sau.edu.pk 3,5Department of Information Technology, University of Sufism and Modern Sciences, Pakistan, alirazarang@gmail.com, sunny_sau@hotmail.com ABSTRACT The Internet of Things abbreviated as an IoT is considered the most recent innovative and fastest-developing field that is to be applied in all aspects of life, in particular higher education. It has sparked interest as well as challenges among academics; the current research will concentrate on acceptance and adoption of IoT in the higher educational institutions of Pakistan. IoT supports educators in environment of learning and can have an impact on how we interact, connect, and work. In this study, we will look at two different aspects. The first one is how to teach students, and secondly how IoT can be used in educational institutions to enhance learning. This study looks at the factors that affect acceptance of IoT and use in an academic setting in Pakistan's higher education institutions. The current research establishes foundation for a comprehensive framework based on trusted technology and social psychology models, such as the Use of Technology 2 and Unified Theory of Acceptance (UTAUT2). The method proposed in this study is network analysis method to observe users' actions in relation to several IoT applications in higher education. An in-depth analysis and consideration of key deliverables which have a major impact on the Internet of Things (IoT) adoption in Pakistani educational institutions of higher level, revealed that only a few applications are heavily used in comparison to all other applications. This research lays the groundwork for developed countries to grow adoption and IoT technologies use in higher education, which will support both students and faculty.

Adding ‘things’ to the internet: exploring the spillover effect of technology acceptance

ABSTRACT The Internet of Things (IoT) describes a promising future in which anyone and anything can be connected at any time and any place. This study aims to explore how users’ Internet-based predispositions could influence their IoT acceptance and if there is a spillover of psychological outcomes such as affect, values and cognitive thoughts. The hypothesised research framework is tested using structural equation modelling with data collected from 615 Internet users. Results show that challenge emotions, well-being, and the overall value experienced in using the Internet significantly spill over into users’ behavioural intention of using the IoT. Also, IoT acceptance significantly leads to increased perceived value and degree of well-being. This study confirmed the spillover effects from one technological paradigm to the subsequent one, indicating that technology acceptance could be conceptualised as interconnected acceptance events as opposed to isolated and separated ones.