Internet of things skills and needs satisfaction: do generational cohorts' variations matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Himmet Karadal ◽  
A. Mohammed Abubakar
Keyword(s):  
Internet Of Things ◽  
Peer Review ◽  
Structural Equation ◽  
Equation Modeling ◽  
Generational Cohorts ◽  
Content Type ◽  
Needs Satisfaction ◽  
Iot Devices ◽  
Future Theory ◽  
The Internet Of Things

PurposeThe authors’ understanding of the Internet of things (IoT) skills and needs satisfaction for IoT devices and generational cohorts' variations remains limited as commentaries are often oversimplified and generalized. This research fills a gap in the literature by highlighting the dynamics between the IoT skills and needs satisfaction for IoT devices and seeks to expound on the variations among generational cohorts using the self-determination theory.Design/methodology/approachSurvey data were obtained from 1,245 residents and IoT device users in Aksaray, Turkey. The obtained data were analyzed with variance-based structural equation modeling and the analysis of variance technique.FindingsThe results demonstrate that IoT skills determine the needs satisfaction for IoT devices. Generation Xers, Generation Yers and Generation Zers are distinct cohorts with respect to the IoT skills and needs satisfaction for IoT devices.Originality/valueCollectively, this study provides empirical evidence that informs the debate about the contributions of IoT skills and generational cohorts on needs satisfaction for IoT devices. The implications and several avenues for future theory-building research are discussed.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0144

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ki Joon Kim ◽  
Sai Wang
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Equation Modeling ◽  
The Internet ◽  
Information And Communications Technologies ◽  
Information Systems Success ◽  
Content Type ◽  
The Internet Of Things

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.

Military acceptance of the Internet of Things: a research model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rabia Saylam ◽  
Abdulkadir Ozdemir
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Negative Relationship ◽  
The Internet ◽  
Research Model ◽  
Content Type ◽  
The Military ◽  
The Internet Of Things

Purpose This 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/approach A 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. Findings The 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/value To 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.

How the Internet of Things can help knowledge management: a case study from the automotive domain

2017 ◽  
Vol 21 (1) ◽  
pp. 57-70 ◽  
Author(s):  
Lorna Uden ◽  
Wu He
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Current Knowledge ◽  
Time Data ◽  
Content Type ◽  
Useful Knowledge ◽  
Iot Devices ◽  
The Internet Of Things

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to capture data and convert data into knowledge to improve the parking service in transportation using a case study. Findings This case study related to intelligent parking service supported by IoT devices of vehicles shows that KM can play a role in turning the incoming big data collected from IoT devices into useful knowledge more quickly and effectively. Originality/value The literature review shows that there are few papers discussing how KM can benefit by embedding IoT and processing incoming big data collected from IoT devices. The case study developed in this study provides evidence to explain how IoT can help KM to capture big data and convert big data into knowledge to improve the parking service in transportation.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dan-Andrei Sitar-Taut ◽  
Daniel Mican
Keyword(s):  
Higher Education ◽  
Peer Review ◽  
Structural Equation ◽  
Information Quality ◽  
Equation Modeling ◽  
Grade Point ◽  
Content Type ◽  
Factors Affecting ◽  
Social Distancing ◽  
Personal Innovativeness

PurposeThis paper investigates if the existing degree of students' acceptance and use of mobile or m-learning may face the online shift determined by SARS-CoV-2. Based on the extended unified theory of acceptance and use of technology (UTAUT2), a new comprehensive model, SD-UTAUT (social distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention (BI) and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators.Design/methodology/approachThe paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling (PLS-SEM).FindingsSD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between performance expectancy (PE) and HM. IQ affected LV the most, since HM the behavioral use (BU). HM impacts the use behavior (UB) more than LV, but habit (HT) affects it the most.Research limitations/implicationsBecause of the pandemic context, output may lack generalizability and reproducibility.Practical implicationsTo improve usage, staff must provide better support, course creators emphasize the objectives and competencies and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the LV through interesting and interactive content, like incorporating gamification.Originality/valueThe model set-up and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces the student's grade point average (GPA) as a moderator.Peer reviewThe peer review history for this article is available at https://publons.com/publon/10.1108/OIR-01-2021-0017

Influence of IoT Policy on Quality of Life

2019 ◽  
Vol 15 (2) ◽  
pp. 19-38 ◽  
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Structural Equation ◽  
Good Governance ◽  
Equation Modeling ◽  
The Internet ◽  
The Government ◽  
The Impact ◽  
The Internet Of Things

In this study, an attempt was taken to identify the issues concerning to regulations and governance which could substantially influence the citizens of India relating to adoption of the Internet of Things. The objective of this study is to highlight the importance of Internet of Things policymaking by the Government of India prescribing proper regulatory frameworks and good governance for effective and successful adoption of the Internet of Things by the citizens of India. An empirical approach has been taken for understanding the impact of IoT policy towards adoption of IoT enabled devices by the citizens of India. Structural equation modeling (SEM) has been used towards analysis of the data collected from three metro cities in India. The study finds out the impact of IoT policy towards adoption of the Internet of Things by the citizens in India and its importance towards improving the quality of life of the citizens of India.

The presumed influence of digital misinformation: examining US public’s support for governmental restrictions versus corrective action in the COVID-19 pandemic

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yang Cheng ◽  
Yunjuan Luo
Keyword(s):  
Peer Review ◽  
Structural Equation ◽  
Online Survey ◽  
Digital Health ◽  
Public Support ◽  
Corrective Action ◽  
Equation Modeling ◽  
Content Type ◽  
The Usa ◽  
Corrective Actions

PurposeInformed by the third-person effects (TPE) theory, this study aims to analyze restrictive versus corrective actions in response to the perceived TPE of misinformation on social media in the USA.Design/methodology/approachThe authors conducted an online survey among 1,793 adults in the USA in early April. All participants were randomly enrolled in this research through a professional survey company. The structural equation modeling via Amos 20 was adopted for hypothesis testing.FindingsResults indicated that individuals also perceived that others were more influenced by misinformation about COVID-19 than they were. Further, such a perceptual gap was associated with public support for governmental restrictions and corrective action. Negative affections toward health misinformation directly affected public support for governmental restrictions rather than corrective action. Support for governmental restrictions could further facilitate corrective action.Originality/valueThis study examined the applicability of TPE theory in the context of digital health misinformation during a unique global crisis. It explored the significant role of negative affections in influencing restrictive and corrective actions. Practically, this study offered implications for information and communication educators and practitioners.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0386

scholarly journals The influence of the attributes of “Internet of Things” products on functional and emotional experiences of purchase intention

2018 ◽  
Vol 15 (3) ◽  
pp. 303-320 ◽  
Author(s):  
Luis Hernan Contreras Pinochet ◽  
Evandro Luiz Lopes ◽  
Caio Henrique Fernandes Srulzon ◽  
Luciana Massaro Onusic
Keyword(s):  
Internet Of Things ◽  
Purchase Intention ◽  
Structural Equation ◽  
Quantitative Research ◽  
Emotional Experience ◽  
Statistical Significance ◽  
Equation Modeling ◽  
Future Research ◽  
Research Approach ◽  
Content Type

Purpose “Internet of things” is a broad term used to describe network connectivity to physical objects. Called connectable or smart objects, they are embedded in electronic circuits and software that make them capable of detecting, collecting and transmitting data and information. This paper aims to examine the influence of the attributes of “internet of things” products in the functional and emotional experience of purchase intention. Design/methodology/approach The study used a model adapted from Yaping et al. (2014), with adjustment for the constructs “emotional experience”, “functional experience” and “purchase intention”. The survey consisted of a sample of 747 valid questionnaires regarding users of “internet of things” products, through a structured questionnaire with 36 assertions, which were answered based on the Likert scale. The quantitative research approach followed an exploratory descriptive phase followed by the application of structural equation modeling. Findings Results validated most of the relationships of the model, with high levels of significance. In addition, there was a greater influence of emotional experience than functional on purchase intention for the selected sample, which mainly consisted of young people. Originality/value In short, the study confirmed the statistical significance of the structural paths, indicating that the proposed model is consistent, and with an appropriate adjustment can be applied in future research.

Effect of online political incivility on partisan attitude: role of issue involvement, moral identity and incivility accountability

2020 ◽  
Vol 44 (7) ◽  
pp. 1421-1441
Author(s):  
Isha Sharma ◽  
Kokil Jain ◽  
Gurinder Singh
Keyword(s):  
Social Media ◽  
Peer Review ◽  
Structural Equation ◽  
Moral Identity ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Issue Involvement ◽  
The Individual

PurposeThe study investigates the effect of an uncivil comment made by a party representative on social media and tests whether it can lead to a change in observers' attitude toward the party.Design/methodology/approachData are collected from 196 respondents using a scenario-based survey. Proposed model is tested using partial least square structural equation modeling (PLS-SEM).FindingsIt is found that individual's moral identity and issue involvement influence perceived civility of the online post, which in turn affects attitude toward the party as well as the individual. It is observed that for high partisans, effect of perceived civility on attitude toward the party is stronger compared to low partisans. Party's lack of responsiveness to address the uncivil comment from its representative increases party's incivility accountability and lowers the partisan attitude toward the party.Originality/valueThe study presents a novel understanding of how political party representatives can influence the image of the party by engaging in an uncivil discourse on social media. Results support that strong partisan would react more unfavorably indicating that loyalty toward the party cannot be taken for granted.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2020-0084

The role of autonomy, competence and relatedness

2019 ◽  
Vol 31 (1) ◽  
pp. 87-104 ◽  
Author(s):  
Jiseon Ahn ◽  
Ki-Joon Back
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Theoretical Perspective ◽  
Self Determination Theory ◽  
Self Determination ◽  
Equation Modeling ◽  
Perceived Fit ◽  
Content Type ◽  
Needs Satisfaction ◽  
Tourism And Hospitality Industry

PurposeThis study aims to apply the perspective of self-determination theory to investigate the effects of needs satisfaction on customers’ emotional bond and perceived fit with the integrated resort brand.Design/methodology/approachTo provide empirical evidence, this study uses an online survey analyzed with structural equation modeling.FindingsThe results suggest how integrated resort experiences enhance the needs satisfaction for autonomy, competence and relatedness, and that customers are likely to have an attachment and compatibility with the brand. This study also documents that strong attachments and compatibility are predictive of behavioral intention.Research limitations/implicationsThis study provides a theoretical perspective through self-determination theory for explaining how needs satisfaction impacts customers’ brand-related attitude, which can be used to guide future studies. Insights from this research will be used to design and evaluate customers’ experience in tourism and hospitality industry.Originality/valueAlthough the concept of needs satisfaction has studied on the employees’ behavior, a scarcity of research has been offered to explain customers’ behavior. Thus, this study makes a significant contribution to the hospitality and tourism research by testing the needs satisfaction as an antecedent of customers’ brand-related behavior.

Sign in / Sign up

Export Citation Format

Share Document