مشخصات مقاله | |
انتشار | مقاله سال 2018 |
تعداد صفحات مقاله انگلیسی | 9 صفحه |
هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
منتشر شده در | نشریه الزویر |
نوع مقاله | ISI |
عنوان انگلیسی مقاله | Understanding business model in the Internet of Things industry |
ترجمه عنوان مقاله | درک مدل کسب و کار در صنعت اینترنت اشیا |
فرمت مقاله انگلیسی | |
رشته های مرتبط | مهندسی فناوری اطلاعات |
گرایش های مرتبط | اینترنت و شبکه های گسترده |
مجله | پیش بینی تکنولوژیکی و تغییر اجتماعی – Technological Forecasting & Social Change |
دانشگاه | Department of Sciences and Technology – University of Naples – Italy |
کلمات کلیدی | مدل تجاری، صفحه مجازی، اینترنت اشیا |
کد محصول | E5774 |
وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
بخشی از متن مقاله: |
1. Introduction
Over the last two decades, the Internet of Things (henceforth: IoT) has been in a constant state of evolution. Some of the most prestigious management-consulting firms, such as Gartner, McKinsey analysis, and ABI Research, forecast that IoT devices would grow from about 5 billion in 2014 to as many as 20 billion devices by 2020. In terms of hardware spending, consumer applications will amount to $1534 billion by 2020, while the use of connected things in the enterprise will rise to $1477 billion in 2020 (Gartner, 2015). Therefore, IoT is included by the US National Intelligence Council in the list of six “Disruptive Civil Technologies” with potential impacts on US national power (NIC, 2008). IoT represents a novel paradigm that is rapidly gaining ground in the modern economics, with a high impact on several aspects of the everyday-life of both private and business users (Atzori et al., 2010). IoT describes “the interconnection of objects or ‘things’ for various purposes including identification, communication, sensing, and data collection” (Oriwoh et al., 2013, p. 122). In particular, it consists of an infrastructure that is able to measure, identify, track, and monitor objects for connecting things, sensors, actuators, and other smart technologies (Uckelmann et al., 2011) as well as simplifying people’s lives through tasks automation (Espada et al., 2011). There are several fields of application for IoT technologies, such as the smart industry (or Industry 4.0), transportation and logistics, healthcare, personal life domain and smart cities, emergency management (Atzori et al., 2010; Yang et al., 2013; Kim and Kim, 2016; Suwon and Seongcheol, 2016). Considering the growing importance of the IoT industry in the global economy, academics are also increasing focusing their attention on several issues within a range of research fields. However, prior literature is concentrated mainly on technological aspects, meaning that managerial issues have been lacking compared to technical research (Kiel et al., 2016). According to the traditional technical approach, IoT technologies and overall digital technologies are studied in terms of technical infrastructure or platform (e.g., Eisenmann et al., 2006; Tiwana et al., 2010; Tiwana, 2014; Eaton et al., 2015; Spagnoletti et al., 2015). Thus, IoT technologies are considered as software-based platforms that that provides core functionality shared by software subsystems that connect to the platform and add functionality to it (Tiwana et al., 2010). This IoT technologies’ view emphasises features such as interoperability or complementarity for showing these platforms seldom operate in isolation from other technologies, but generally offer functionality for other platforms or complementary technologies (Eisenmann et al., 2006; Eisenmann et al., 2011; Baden-Fuller and Haefliger, 2013; Tiwana, 2014). |