Smart Manufacturing using IOT

ISRA International Journal of Islamic Finance

Purpose This study aims to evaluate cognitive, personal and environmental factors affecting investors’ behavioral intentions (BI) to invest in ṣukūk (Islamic investment certificates) in Pakistan. Design/methodology/approach Data from 462 participants were collected through survey-questionnaires by using the convenient sampling technique. Hypothesized proposed relationships among the constructs were examined by applying the structural equation modeling (SEM) technique through smart partial least squares. Findings Compatibility, internal influence, external influence and intrinsic motivation were found to be significant predictors of investors’ BI to invest in ṣukūk. In addition, it was found that the religious aspect not only affects investors’ BI positively but also works as a moderator in the relationships between BI and both internal and external influence. Practical implications The results are quite helpful for ṣukūk issuers and regulators to consider cognitive, personal and env...

Mobile Information Systems

Consumer adoption of mobile-based tourism shopping is an emerging but overlooked area in tourism research. Given the paybacks and potential scope of this new channel, this study attempts to bridge the gap by proposing a multimediation model investigating mobile tourism shopping (MTS) in a developing country, Pakistan. In particular, we applied structural equation modeling through partial-least-squares structural equation modeling (PLS-SEM) on 396 responses collected from mobile respondents who recently purchased tourism products using a mobile device(s). It was discovered that social presence, directly and indirectly, influences tourist intentions towards MTS. The results further show that the tourists’ perception of compatibility and relative advantages of MTS have insignificant influence on their intention to accept a mobile device(s) for tourism shopping. The findings and implications of the study furnish new vistas to research discourse and managerial significance. Economically,...

Advances in Intelligent Systems and Computing

The Internet of things (IoT) is realised as a potentially effective means of integrating multiple technologies to improve the quality of people's life and offering interesting and advantageous new services to individuals. However, it has emerged that consumers' acceptance of IoT is currently low despite its huge economic potentials and impacts, as well as high investment from the private and public sectors. Yet, few studies have investigated the perspectives of the users on IoT. Specifically, only a few empirical researches had examined the determinants of IoT service adoption from the user's perspective and research model were still not fully developed. Hence, there is a dearth of empirical research on IoT adoption in Malaysia. Therefore, this research aims to develop an integrative model of factors influencing users' acceptance of IoT. The research applied an integrated model from the combine theories of technology acceptance model (TAM), and the theory of perceived risk. The research hope to provide useful insight into the key driving factors with regard to understanding consumers' behavioural intention to use the IoT.

2019

The rise of edge computing gives birth to a spectrum of delay-sensitive applications. Many of these applications build their services atop the functionality that the edge nodes quickly negotiate a unique order on the events received from a massive number of client devices, even under very high event rates. To this end, we propose a protocol, called Nomad, for achieving fast event ordering in edge computing environments. Nomad is designed as a consensus protocol that employs a lease-based approach to take advantage of the locality of the unbalanced workload across the system. It also dynamically adjusts the leadership distribution on the edge nodes based on the recent running history, and relies on a cloud-based arbitrator to resolve contentions. Experiments demonstrate that Nomad outperforms the existing solutions, such as Multi-Paxos, Mencius and E-Paxos, in achieving fast event ordering for large-scale, delay-sensitive edge-cloud applications.

Sensors, 2020

In recent years, the application and wide adoption of Internet of Things (IoT)-based technologies have increased the proliferation of monitoring systems, which has consequently exponentially increased the amounts of heterogeneous data generated. Processing and analysing the massive amount of data produced is cumbersome and gradually moving from classical ‘batch’ processing—extract, transform, load (ETL) technique to real-time processing. For instance, in environmental monitoring and management domain, time-series data and historical dataset are crucial for prediction models. However, the environmental monitoring domain still utilises legacy systems, which complicates the real-time analysis of the essential data, integration with big data platforms and reliance on batch processing. Herein, as a solution, a distributed stream processing middleware framework for real-time analysis of heterogeneous environmental monitoring and management data is presented and tested on a cluster using o...

IOP Conference Series: Materials Science and Engineering, 2020

In the revolution of information technology, the appearance of Internet of things (IoT) is considered a significant evolution that can enhance the efficiency and prosperity of daily activities. In this context, a few people are aware of the important benefits that can be gained from using IoT services. Generally, previous researchers have studied the technical aspects of IoT, such as architectural dimensions, models, wireless sensor networks and attribute-based signature. The aim of this study is to identify the factors that influence users’ adoption of IoT services at an educational institution in Iraq. The stratified sampling techniques were used to collect data from 221 users (students and lecturers) at university of Basra. Meanwhile, results corroborate that social influence is the most important factor in relation to the behavioral intention (BI) to use IoT services follow by effort expectancy, security and, performance expectancy. Facilitating conditions and BI have an effecti...

International Journal of Research in Marketing, 2021

Smart service systems-that is, configurations of smart products and service providers that deliver smart services-are striving to increase the smartness of their offering, but potential consequences for customer well-being are largely overlooked. Therefore, this research investigates the impact of smartness on customer well-being (here, self-efficacy and technology anxiety) through (1) customer engagement with different smart service system actors (here, smart products and service providers) and (2) customer perceptions (here, personalization and intrusiveness perceptions) and their associated importance (here, need for personalization and intrusiveness sensitivity). A scenario-based experiment (n = 730)-which is preceded by a systematic review to conceptualize smartness-shows that customers perceive more personalization than intrusiveness in case of higher levels of smartness, resulting in customer engagement with the smart product and to some extent with the service provider. Via customer engagement with the smart product, higher levels of smartness stimulate selfefficacy, especially for customers with a high need for personalization. When customers' need for personalization is high and their intrusiveness sensitivity is low, higher levels of smartness also reduce technology anxiety via customer engagement with the smart product. Hence, the conclusion is: "The smarter, the better!", whereby the relationship between smartness and wellbeing (here, self-efficacy and technological anxiety) is significantly influenced by customer heterogeneity. These findings help business practitioners in boosting customer well-being by increasing customer engagement through higher levels of smartness of their service system.

Journal of Computer Information Systems, 2018

Smart home devices form a significant part of the Internet of Things market and can provide benefits such as convenience and energy efficiency. They also have potential privacy and security risks as they collect information constantly. In order to examine how benefit and risk factors influence individuals' intentions to adopt smart home devices, we developed a net valence model that integrates both positive factors and risk factors. The model was tested using data collected using an online questionnaire. The results show that individuals tend to ignore the potential risks and focus more on potential benefits resulting from using smart home devices. Performance expectancy and compatibility were found to be positively related to perceived benefits. However, neither effort expectancy nor image were. Among the proposed dimensions of risk, only privacy risk, performance risk, and time risk significantly influenced perceived risk. Security risk and financial risk did not influence it.

Sustainability

The advancement of technology is making university campuses smarter every single day. Despite the benefits of these advanced technologies, the literature concerning the adoption of smart campuses is significantly lacking increased knowledge to provide effective smart campus solutions. This study aims to prioritize the adoption factors of an IoT-based smart campus. The study applied an analytical hierarchical process (AHP) on 25 factors drawn from the literature. The factors were classified into technology specific factors (TSF), organizational specific factors (OSF), environmental specific factors (ESF), and end-user specific factors (USF). Based on the results obtained, the most significant contributing factors were government support, privacy concerns, social influence, facilitating conditions, and service collaboration, whereas the least significant contributing factors were enjoyment, availability, reliability, mobility, and compatibility. Moreover, based on the global ranking c...

Journal of Marketing Management, 2016

The Internet of Things (IoT) market is set to grow rapidly. Although IoT offers new opportunities, it nevertheless raises challenges. The objective of this research is to develop a better understanding of the reasons underlying consumer resistance to smart and connected products. To this end, a quantitative survey was carried out to understand resistance to smartwatch. Structural equation modelling was used to test the conceptual model. The findings show that perceived uselessness, perceived price, intrusiveness, perceived novelty and self-efficacy have an impact on consumer resistance to smart products. Moreover, privacy concerns have an effect on intrusiveness and dependence impacts privacy concerns. To our best knowledge, this is the first research studying smart products through a resistance approach.

Information Technology & People, 2019

Purpose Emerging social networking sites (SNSs) are less advantageous than leading SNSs in attracting users. They might stand a better chance if they know what users want. The purpose of this paper is to study factors that urge Facebook users to switch to Instagram to reveal how latecomers in the SNSs circuit can win the hearts of users. Design/methodology/approach This study proposes an SNS switching framework that is adapted from the demographic Push-Pull (PP) migration model to investigate users’ switching intention. Structural equation modeling was applied to analyze the data collected from 260 Instagrammers who all had experience using Facebook before moving on Instagram. Findings Results show that socializing and system quality of the SNS negatively affect users’ switching intention, while attractiveness of the alternative, peer influence and critical mass do the opposite. Surprisingly, enjoyment is not associated with switching intention. Research limitations/implications SNS...

Sustainability

Smart education and the sustainable development of smart campuses have drawn significant research attention. This is enabled by intelligent devices that are widely attracting massive applicability in personal and big business contexts and can increase efficiency and convenience. This paper aims to present a solution to address the lack of a proper adoption model for smart campus initiatives. The evaluation and synthesis of the literature were conducted by following the systematic literature review (SLR) procedure. The study’s findings revealed the taxonomy and IoT technologies leading to the wide adoption of IoT-based smart campuses. The technology adoption models and their corresponding variables help the authors identify and classify a suitable adoption framework for smart campuses. The limitations and challenges of adoption theories as they pertain to smart campuses are discussed. Finally, the study adapts perceived scalability, perceived replicability, perceived reliability, per...

Journal of cybersecurity and privacy, 2022

Older adults in the U.S. are interested in maintaining independence, aging at home longer, and staying active. Their substantial size, market share, and household wealth sparked the interest of investors and developers in remote monitoring, smart homes, ambient-assisted living, tracking, applications, and sensors via the IoT. This study used the unified theory of acceptance and use of technology extended (UTAUT2). The overarching research question was: "To what extent do performance, effort, influence, conditions, motivation, price, and habit affect older adults' behavioral intent to use IoT technologies in their homes?" The research methodology for this study was a nonexperimental correlation of the variables that affect older adults' intention to use IoT-enabled technologies in their homes. The population was adults 60 plus years in northern Virginia. The sample consisted of 316 respondents. The seven predictors cumulatively influenced older adults' behavioral intent to use IoT-enabled technologies, F(7, 308) = 133.50, p < 0.001, R 2 = 0.75. The significant predictors of behavioral intention to use IoT technologies were performance expectancy (B = 0.244, t(308) = 4.427, p < 0.001), social influence (B = 0.138, t(308) = 3.4775, p = 0.001), facilitating conditions (B = 0.184, t(308) = 2.999, p = 0.003), hedonic motivation (B = 0.153, t(308) = 2.694, p = 0.007), price value (B = 0.140, t(308) = 3.099, p = 0.002), and habit (B = 0.378, t(308) = 8.696, p < 0.001). Effort expectancy was insignificant (B = −0.026, t(308) = −0.409, p = 0.683). This study filled the gap in research on older adults' acceptance of IoT by focusing specifically on that population. The findings help reduce the risk of solutions driven by technological and organizational requirements rather than the older adults' unique needs and requirements. The study revealed that older adults may be susceptible to undue influence to adopt IoT solutions. These socioeconomic dimensions of the UTAUT2 are essential to the information technology field because the actualizing of IoT-enabled technologies in private homes depends on older adults' participation and adoption. This research is beneficial to IoT developers, implementers, cybersecurity researchers, healthcare providers, caregivers, and managers of in-home care providers regarding adding IoT technologies in their homes.

Journal for Research in Applied Sciences and Biotechnology

The Internet of Things (IoT) is a complete network of networked computer devices, digital and mechanical equipment, and the capacity to send data over the Internet based on machine to machine interaction. It is also known as the Internet of Everything (IoE). The Internet is a packet-switched network, which means that the Quality of Service (QoS) elements (such as packet loss, latency, jitter, and so on) have an influence on the Quality of Experience (QoE) for the Internet of Things services. This research used a subjective evaluation method in order to evaluate the relationship between the quality of service (QoS) measures such as packet loss, latency, and jitter and the quality of experience (QoE) for Internet of Things services. In addition to that, a mapping model from quality of service to quality of experience was suggested. According to the results of this research, there is a close connection between the subjective opinion score and the quality of service (QoS) variables such...

Journal of Data, Information and Management

communicate (Bianchi et al. 2022). In light of the importance of addressing demographic trends, including an aging population, an increase in the prevalence of lifestyle illnesses, and the cost of healthcare, wearables are becoming more important (Levy 2014). HWDs provide patients with real-time information without visiting hospitals (Binyamin and Hoque 2020). HWDs can better enhance the healthcare system thereby assessing patients' health and providing them with timely medical treatment (Islam et al. 2020). Currently, the COVID-19 epidemic is spreading throughout the world. The tremendous impact of the COVID-19 pandemic on the elderly population in the world indicates the need to closely monitor their health problems (Pan et al. 2020). Seniors have comorbidities regularly, demanding continual monitoring to maintain optimum health (Kirwan et al. 2020). Wearable technology enhances the quality of life for older adults by facilitating healthier lifestyle choices (Elimelech et al. 2022; Popescu 2014). Wearable devices like smartwatches and fitness trackers, as well as healthcare software, are believed to strengthen the overarching health of users (Aymerich-Franch and Ferrer 2022). Its primary purpose and usefulness largely influence customers' perceptions of a product and its application.

Sustainability, 2022

This paper studies shopper acceptance for using beacons in the purchase process. The main goal is to examine shopper response to beacon-triggered promotions and propose a model that would help retail practitioners plan the implementation of beacons in stores. The model was evaluated via an in-market test to examine the effects of beacon-triggered promotion on shopper attention, technology acceptance, and the decision to purchase. The test was conducted in Belgrade, Serbia in 10 representative stores where beacons were implemented with 10 twin control stores. The SimplyTastly mobile application was used for sending notifications. Furthermore, two more in-market beacon activations were analysed in Croatia and Bulgaria. The results showed that shoppers accepted beacon technology and that beacon-triggered promotion had a positive impact on shopper attention, purchase behaviour, and the decision to purchase. The results show that the proposed model could serve as a sound basis for the im...

International Journal of Management, Technology, and Social Sciences, 2020

For India to be a global economic superpower, the Indian Engineering Industry which at present is the largest foreign exchange earner must make its strong presence in the global markets. Industry 4.0 is one such initiative which has the power to transform the Indian Engineering Industry to be globally competitive along several strategic dimensions. Industry 4.0 is gradually making inroads and yet, there is no model to assess whether the Indian Engineering Industry is prepared to implement Industry 4.0. This study develops a multi-dimensional Industry4.0 readiness model by analysing in-depth the extant literature. A theoretical framework for assessment is developed. Further, the developed model is qualitatively analysed using the ABCD framework. Practical application of Industry 4.0 readiness model in Indian Engineering Industries is discussed. This is the first Industry 4.0 readiness model developed for Indian Engineering Industries.

Human Behavior and Emerging Technologies

Internet is becoming a part of our lifestyle; however, the usage rate and application of the Internet are disparate in different parts of the world. In many emerging countries, the Internet is yet to penetrate ordinary households. The present study focuses on how IoT adoption impacts the banks’ customer relationship management (CRM) in an emerging market context. Furthermore, the moderating roles of gender, age, and bank ownership type on the relationship between the adoption of IoT and CRM have also been tested. Cost, convenience, social context, and privacy were studied as the predicting variables of IoT adoption, while IoT adoption was investigated as the antecedent of CRM. The CRM variable has been operationalized as a second-order latent construct consisting of three first-order latent variables: responsiveness, satisfaction, and assurance. A cross-sectional, non-probability-based survey was conducted from 467 bank customers of three public and three private sector banks in Ali...

Disrupting Finance, 2018

Traditional challenges insurers face include: (1) asymmetric information-the inability to price a policyholder correctly; (2) moral hazards-the change of attitude following cover; and (3) claims management. In this chapter, we discuss how disruptive technologies are evolving in the insurance sector and the challenges faced in their implementation. We show how large and continuous datasets are transforming the general insurance markets and their business processes, as well

Frontiers in Psychology

This study examines critical factors influencing Omani entrepreneurs’ adoption of the internet of things (IoT) by expanding the constructs at the unified theory of acceptance and use of technology (UTAUT2) with entrepreneurs’ innovativeness, IT knowledge (ITK), and trust. A cross-sectional survey questionnaire was used to collect data from 158 entrepreneurs in Oman. Data were analyzed through the structural equation modeling technique using SmartPLS. The results indicated that performance expectancy, habit, social influence, trust (TR), ITK, and entrepreneurs’ innovativeness (PI) significantly affect Omani entrepreneurs’ intention to adopt IoT. Nonetheless, the results show that there is no significant relationship between hedonic motivation, effort expectancy, price value, and facilitating conditions to adopt IoT. This study contributes to previous literature by incorporating entrepreneurs’ innovativeness, ITK, and trust into UTAUT2. Furthermore, this study was conducted in a Middl...

Sensors, 2020

We demonstrate the viability of using ultra-thin sheets of microbially grown nanocellulose to build functional medical sensors. Microbially grown nanocellulose is an interesting alternative to plastics, as it is hydrophilic, biocompatible, porous, and hydrogen bonding, thereby allowing the potential development of new application routes. Exploiting the distinguishing properties of this material enables us to develop solution-based processes to create nanocellulose printed circuit boards, allowing a variety of electronics to be mounted onto our nanocellulose. As proofs of concept, we have demonstrated applications in medical sensing such as heart rate monitoring and temperature sensing—potential applications fitting the wide-ranging paradigm of a future where the Internet of Things is dominant.