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Book part
Publication date: 19 July 2022

Vimal Sharma and Deepak Sood

Introduction: The internet of things (IoT) is the emerging technology of interconnected objects that can be termed as ‘things’ used to exchange data, connecting with…

Abstract

Introduction: The internet of things (IoT) is the emerging technology of interconnected objects that can be termed as ‘things’ used to exchange data, connecting with different devices on the internet. It is the future where connected devices are controlled remotely. The insurance sector is one of the leading industries providing financial protection services to their customers to recover losses. Like others, the insurance industry uses the services very efficiently to solve their customer-centric problems and provide the best services to them. IoT in insurance is enhancing customer services.

Purpose: To determine how the insurance industry utilises the different IoT technologies to provide the best services and solutions to their users. The insurance sector is working on other areas of expertise to offer outstanding facilities to their clientele.

Methodology: We reviewed published material covering five years on IoT and insurance and customer services in the media, newspapers, journal publications, and the web. We determined how the insurance sector adapted the new terminology to contribute its best services to the users.

Findings: We observed that IoT services and technologies benefit the insurance industry and the clientele. This shows excellent results in the growth of the sector and heightened facilities for the consumers.

Details

Big Data: A Game Changer for Insurance Industry
Type: Book
ISBN: 978-1-80262-606-3

Keywords

Article
Publication date: 1 February 2016

Changiz Valmohammadi

The purpose of this paper is to explore the perception of Iranian experts and executive managers of sample organizations on the benefits and barriers of Internet of Things…

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Abstract

Purpose

The purpose of this paper is to explore the perception of Iranian experts and executive managers of sample organizations on the benefits and barriers of Internet of Things (IoT) solutions implementation. Based on the context of Iran using descriptive analysis.

Design/methodology/approach

Based on the review of the related literature and websites, benefits and barriers of successful implementation to IoTs solutions were identified. Through a self-administered questionnaire which was collected from 67 Iranian organizations the ranking and importance of benefits and barriers of IoTs solutions implementation were determined based on the perception of the experts of the surveyed organizations.

Findings

Analysis of data and the obtained results reveals that “improved customer experience” and “Supply chain optimization and responsiveness” are the most important benefits that the survey organizations expect to reap as a result of IoTs solutions implementation. Also “Integration challenges” and “cannot find right suppliers” were ranked as the most challenging barriers to IoTs solutions implementation.

Research limitations/implications

The findings and conclusions drawn from this research are representative of the Iranian context only. So, caution needs to be exercised in generalizing the results.

Practical implications

The top management of Iranian organizations and also, policy makers of the country should be aware that IoTs solutions are being deployed rapidly throughout the globe. Therefore, it is necessary to increase investment in IT infrastructure and also by holding various training for employees and experts of Iranian organizations, and setting various IoT majors in the country’s universities and vocational schools, efforts should be made to accelerate the deployment of IoTs solutions to keep pace with leading companies in the world.

Originality/value

As IoTs is rather a new phenomenon in the Iranian industries this study has the potential to enhance the understanding of IoTs solutions and applications, benefits and barriers amongst researches and practitioners in the context of Iran. Also policymakers of the country could take advantage of the findings of this study toward a successful implementation of IoTs solutions and applications.

Details

Industrial and Commercial Training, vol. 48 no. 2
Type: Research Article
ISSN: 0019-7858

Keywords

Open Access
Article
Publication date: 25 November 2022

Pakorn Opasvitayarux, Siri-on Setamanit, Nuttapol Assarut and Krisana Visamitanan

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of…

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Abstract

Purpose

The introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.

Design/methodology/approach

The partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.

Findings

The results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.

Practical implications

This study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.

Originality/value

This research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.

Details

Journal of International Logistics and Trade, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1738-2122

Keywords

Article
Publication date: 2 December 2022

Akansha Tripathi and Madan Kushwaha

In the existing era, the Internet of Things (IoT) can be considered entirely as a system of embedding intelligence. The transverse character of IoT systems and various…

Abstract

Purpose

In the existing era, the Internet of Things (IoT) can be considered entirely as a system of embedding intelligence. The transverse character of IoT systems and various components associated with the arrangement of IoT systems have confronted impediments in the form of security and trust. There is a requirement to efficiently secure the IoT environment. The present study recommends a framework for impediments to secure and trustworthy IoT environments.

Design/methodology/approach

The present study identifies thirteen potential impediments to secure and trustworthy IoT environment. Further, a framework is developed employing Total Interpretive Structural Model (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach. The integrated approach is employed as TISM organizes inter-relations among the identified impediments, while MICMAC analysis organizes interpretations related to the driving and dependence power of the impediments.

Findings

The results from the study represents that security of IoT from arbitrary attacks is the impediment that has attained the highest driving power. The impediments such as “security of IoT from arbitrary attacks”, “profiling” and “trust and prominence structure” are identified at the top level in the analysis.

Research limitations/implications

The previous studies highlight the facilitating contribution of IoT on various devices but neglect the impediments that can contribute towards a safe and trustworthy IoT environment. Also, the present study has its limitations as it depends upon the experts’ recommendations and suggestions.

Originality/value

The existing framework could be beneficial in constructing policies and suggestions to efficiently cater the impediments to a secure and trustworthy IoT environment.

Details

Management of Environmental Quality: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 27 September 2022

Fredrick R. Ishengoma, Deo Shao, Charalampos Alexopoulos, Stuti Saxena and Anastasija Nikiforova

With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public…

Abstract

Purpose

With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a “human” garb for computing devices, thereby making them “intelligent” devices, IoT relies on interfaces between sensors and the environment to make “intelligent” decisions. Recently, the convergence of AI and IoT – also referred to as Artificial Intelligence of Things (AIoT) – is seen as a real opportunity to refurbish the public service delivery formats. However, there is limited understanding as to how AIoT could contribute to the improvisation of public service delivery. This study aims to create a modular framework for AIoT in addition to highlighting the drivers and barriers for its integration in the public sector.

Design/methodology/approach

This descriptive-explanatory study takes a qualitative approach. It entails a thorough examination of the drivers and barriers of integrating AI and IoT in the public sector. A review of literature has led to the development of a conceptual framework outlining the various factors that contribute to creating public value.

Findings

Value creation occurs when AI and IoT coalesce in the public service delivery mechanisms.

Originality/value

AIoT is a cutting-edge technology revolutionizing health care, agriculture, infrastructure and all other industrial domains. This study adds to the growing body of knowledge on the public sector's use of AI and IoT. Understanding these disruptive technologies is critical to formulating policies and regulations that can maximize the potential benefits for the public-sector organizations.

Details

Digital Policy, Regulation and Governance, vol. 24 no. 5
Type: Research Article
ISSN: 2398-5038

Keywords

Open Access
Article
Publication date: 21 September 2022

Chowdhury Noushin Novera, Zobayer Ahmed, Rafsanjany Kushol, Peter Wanke and Md. Abul Kalam Azad

Although there has been a significant amount of research on Smart Tourism, the articles have not yet been combined into a thorough literature review that can examine…

Abstract

Purpose

Although there has been a significant amount of research on Smart Tourism, the articles have not yet been combined into a thorough literature review that can examine research streams and the scope of future research. The purpose of this study is to examine the literature on the impact of deploying the Internet of Things (IoT) in tourism sector development to attract more visitors using a text mining technique and citation based bibliometric analysis for the first time.

Design/methodology/approach

This study uses R programming to do a full-text analysis of 36 publications on IoT in tourism and visualization of similarities viewer software to conduct a bibliometric citation analysis of 469 papers from the Scopus database. Aside from that, the documents were subjected to a longitudinal study using Excel and word frequency using a trending topic using the R-tool.

Findings

Results from the bibliometric study revealed the networks that exist in the literature of Tourism Management. With the use of log-likelihood, the findings from text mining identified nine theme models on the basis of relevancy, which is presented alongside an overview of the existing papers and a list of the primary authors with posterior probability using latent Dirichlet allocation.

Originality/value

This study examines tourism literature in which IoT plays a significant role. To the best of the authors’ knowledge, this study is the first to combine text mining with a bibliometric review. It significantly analyzes and discusses the impact of technology in the tourism sector development on attracting tourists while presenting the most important and frequently discussed topics and research in these writings. These findings provide researchers, tourism managers and technology professionals with a complete understanding of e-tourism and to provide smart devices to attract tourists.

Propósito

Aunque ha habido un número importante de estudios sobre el turismo inteligente, todavía no se dispone de una revisión bibliográfica exhaustiva que permita examinar las corrientes de investigación y las sugerencias de investigación futuras. Este estudio examina la literatura sobre el impacto del Internet de las cosas en el desarrollo del sector turístico para atraer más visitantes utilizando una técnica de minería de textos y un análisis bibliométrico basado en citas.

Metodología

Este estudio utiliza la programación R para hacer un análisis de texto completo de 36 publicaciones sobre IoT en el turismo y el software de visualización de similitudes (VOS) para realizar un análisis bibliométrico de citas de 469 documentos de la base de datos Scopus. Además, los documentos fueron sometidos a un estudio longitudinal mediante Excel y a la frecuencia de palabras mediante un tema de tendencia utilizando la herramienta R.

Resultados

Los resultados del estudio bibliométrico revelaron las redes existentes en la literatura de la Gestión Turística. Con el uso de la log-verosimilitud, los resultados de la minería de textos identificaron nueve modelos temáticos sobre la base de la relevancia, que se presentan junto con una visión general de los documentos existentes y una lista de los autores principales con probabilidad posterior utilizando la asignación latente de dirichlets.

Originalidad

Este estudio examina la literatura sobre turismo en la que la IoT desempeña un papel importante. Este estudio es el primero que combina la minería de textos con una revisión bibliométrica. Analiza y discute de forma significativa el impacto de la tecnología en el desarrollo del sector turístico para atraer a los turistas, a la vez que presenta los temas e investigaciones más importantes y más frecuentemente discutidos en estos escritos. Estos resultados proporcionan a los investigadores, gestores turísticos y profesionales de la tecnología una comprensión integral del turismo electrónico y los dispositivos inteligentes para atraer a los turistas.

目的

虽然已经有大量关于智慧旅游的研究, 但这些文章尚未整合成一个全面的文献综述, 可以检阅目前的研究流和未来研究的范畴。本研究首次使用文本挖掘技术和基于引文的文献计量分析, 来研究有关在旅游业发展中部署物联网对吸引更多游客的影响的文献。

方法

本研究使用R编程对36篇关于旅游业物联网的文章进行全文分析, 并使用相似性可视化(VOS)查看器软件对Scopus数据库中的469篇论文进行文献计量引文分析。除此之外, 还利用Excel对这些文献进行了纵向研究, 并使用R工具对趋势主题进行了词频分析。

结果

文献计量研究的结果揭示了旅游管理文献中现有的网络。通过使用对数似然, 文本挖掘的结果根据相关性确定了9个主题模型, 这些模型与现有论文的概述和主要作者名单在使用潜在狄里奇分配(LDA)的后验概率一起呈现。

原创性

本研究对旅游物联网相关文献进行了分析研究, 它首次将文本挖掘与文献计量学审查相结合。这项研究着重分析和讨论了技术在旅游行业发展中对吸引游客的影响, 同时介绍了这些文章中最重要和经常讨论的主题和研究。这些发现为研究人员、旅游管理者和技术专家提供了对科技与旅游的全面了解, 并提供关于智能设备来吸引游客的建议。

Details

Spanish Journal of Marketing - ESIC, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2444-9709

Keywords

Article
Publication date: 9 September 2022

Zakaria Elkhwesky and Esraa Fayez Youssif Elkhwesky

Internet of Things (IoT) is a key enabler of big data and it is critical toward a new age of firm's architecture and proper decision-making for the industry. IoT adoption…

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Abstract

Purpose

Internet of Things (IoT) is a key enabler of big data and it is critical toward a new age of firm's architecture and proper decision-making for the industry. IoT adoption by the hospitality and tourism (H&T) industries is still rare and with contrasting evidence. The purpose of this study is to highlight the concept of IoT, its benefits, its challenges and its applications in the hospitality industry.

Design/methodology/approach

This study presents an in-depth and critical review of the 78 articles published on IoT in hospitality, spanning more than seven years (from 2015 to March 2022). The eligible 78 articles were collected from the “Web of Science database” and H&T Social Sciences Citation Index-listed journals.

Findings

This systematic review exhibits that IoT in hospitality has advanced in the past seven years. IoT has brought many advantages and challenges in hospitality. However, hospitality IoT research is scarce, necessitating a profound and more thorough investigation of many significant matters.

Practical implications

This systematic review provides significant implications and recommendations for hospitality sectors, IoT developers and manufacturers, governments and policymakers. This review ends with an in-depth research agenda with several research questions and a framework to achieve theoretical and empirical advances in future IoT research.

Originality/value

To the best of the authors’ knowledge, the current research is one of the first to systematically and critically review IoT with its concept, benefits, challenges and applications in a hospitality context. This major review provides a comprehensive idea of the focus of the past studies and what must be concentrated in future research.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 6 September 2022

Eiman Negm

This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning.

Abstract

Purpose

This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning.

Design/methodology/approach

Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An online administrated questionnaire is distributed through convenience sampling to reach generation(Z) students. The questionnaire is developed using Google form, placing the link on various universities' social media platforms so to be accessible to the respondents. Path coefficient analysis of SEM is used to test the hypotheses.

Findings

Results show that the individual's level of technological optimism, discomfort and insecurity impact adoption intentions toward IoT products and services for online learning; the mental motivator, innovativeness, is insignificant.

Practical implications

This study helps guide practitioners (education institutions, IoT-developers, marketers and other professionals in the field) to consider students' mindset when designing products and strategies for promoting online learning and introducing educational IoT. This research provides insights on IoT in higher education; it provides perspectives for IoT adoption intention pro-online learning, aiding institutions looking for trends and practices for skills and work-based learning developments.

Originality/value

This study contributes to knowledge and literature by shedding light on the educational challenge of why not all students could harness the potentials of online learning and IoT of the twenty-first century. It provides insights to clarify students' mindset toward educational IoT needed for online learning.

Details

Higher Education, Skills and Work-Based Learning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-3896

Keywords

Book part
Publication date: 21 January 2022

Ayşe Dilşad Yakut

The Fourth Industrial Revolution has revealed some emerging concepts and technologies. In the framework of Industry 4.0, the Internet of things (IoT) is one of the key…

Abstract

The Fourth Industrial Revolution has revealed some emerging concepts and technologies. In the framework of Industry 4.0, the Internet of things (IoT) is one of the key concepts as well as an evolving paradigm that creates opportunities of integration between the things and the physical world which has an unprecedented influence in our lives, particularly in the lives of those with disabilities. It is a groundbreaking way of providing independent living opportunities to individuals with disabilities, such as academic and learning aids (e.g. computer-based software, portable word processors), communication aids (e.g. captioning devices, smart glasses, augmentative communication devices), mobility aids (e.g. smart canes, smart wheelchairs), and smart systems (e.g. smart home, smart city, smart workplace), which increase the amount of their participation in the society, thus, empowering individuals with disabilities. This chapter aims to present the IoT technologies for individuals with disabilities and consists of five sections. The first section presents background information about the IoT and how it relates to individuals with disabilities. The second section introduces key technologies and applications that drive the IoT concept of Industry 4.0 in terms of the subject of disability in five domains which are mobility, smart environments, monitoring, communication, and education. The third section illustrates the importance of the IoT technologies and its relevance to the universal approach. The fourth section presents the implications of global business and implications of COVID-19 for IoT technologies. Finally, the chapter concludes with suggestions.

Article
Publication date: 30 August 2022

Premaratne Samaranayake, Tritos Laosirihongthong, Dotun Adebanjo and Sakun Boon-itt

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Abstract

Purpose

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Design/methodology/approach

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

Findings

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Practical implications

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

Originality/value

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

Keywords

1 – 10 of over 4000