Internet Of Things Business Research Articles

Business model innovation through the application of the Internet-of-Things: A comparative analysis

The Internet-of-Things (IoT) empowers remote monitoring and management of the performance of machines, vehicles, processes, etc., which facilitate service business models. However, companies in emerging and transitional economies, in particular, face challenges when applying IoT, not only related to the use of technology, but especially regarding the need for a new business model. The main goal of this paper is to better understand emerging IoT business models in Vietnam through identifying and interpreting business model design options and choices. The case studies and their commonalities are used to perform a morphological analysis and create a generic IoT business model providing business model alternatives for each of the four business model dimensions. The research provides insights into the commonalities and discrepancies of IoT-based business models. Also, it provides a novel application of morphological analysis to business model innovation to create a generic business model for IoT applications in emerging markets.

Бізнес-моделі інтернету речей

Бізнес-моделі інтернету речей

IoT Business Model Development for Food Safety Monitoring System in the Poultry Slaughterhouse

Internet of Things (IoT) has changed the industrial direction and open a new opportunity for the food business. The food safety business took this technological leap to increase food safety in the industry. The technological leap focuses on the improvement of traceability system in order to guarantee the appropriate level of protection for biological and chemical hazards in the poultry slaughtering. Consumers’ concerns about food safety are the key to new technological businesses by using the internet platform and reengineer the computer system. The different business model for IoT provides a system building for new ventures. This paper aims to describe a new business based on a new internet technology development. An internet-based business on food safety notification for the slaughterhouse with regards to food safety hazards is the main business backbone. The system development will be based on a sensor and link with the android system that integrated conveyor system to detect the possible biological and chemical hazards. The future new business model of IoT system is integrated with HACCP sensors.

A Survey on the Use of IoT and IoT Devices in a Human Life

Abstract. The Internet of Things (IoT) is making a lot of buzz while it approaches changing our lives. IoT is all over the place, despite the fact that we don't generally observe it or realize that a gadget is a piece of the IoT. The IoT is transforming physical articles into a biological system of data shared between gadgets that are wearable, versatile, even implantable, making our lives innovation and information rich. IoT business applications are various. Keen machines are evolving when, where and how work is done in for all intents and purposes each industry; yet, I'm not catching it's meaning for reality? IoT is a remarkable system associating machines, people, information and forms and is presently sifting down to reality, molding how we approach our every day lives. Some true instances of IoT are wearable wellness and trackers (like Fitbits) and IoT social insurance applications, voice partners (Siri and Alexa), shrewd vehicles (Tesla), and keen machines (iRobot). With IoTs quick arrangement coming into contact with numerous IoT gadgets consistently will be unavoidable soon. In this paper we gathered the region on which the IoT gadgets will significantly affect numerous parts of our carries on with like in live, in drive, and in cultivating harvests and creatures.

PoBT: A Lightweight Consensus Algorithm for Scalable IoT Business Blockchain

Efficient and smart business processes are heavily dependent on the Internet of Things (IoT) networks, where end-to-end optimization is critical to the success of the whole ecosystem. These systems, including industrial, healthcare, and others, are large scale complex networks of heterogeneous devices. This introduces many security and access control challenges. Blockchain has emerged as an effective solution for addressing several such challenges. However, the basic algorithms used in the business blockchain are not feasible for large scale IoT systems. To make them scalable for IoT, the complex consensus-based security has to be downgraded. In this article, we propose a novel lightweight proof of block and trade (PoBT) consensus algorithm for IoT blockchain and its integration framework. This solution allows the validation of trades as well as blocks with reduced computation time. Also, we present a ledger distribution mechanism to decrease the memory requirements of IoT nodes. The analysis and evaluation of security aspects, computation time, memory, and bandwidth requirements show significant improvement in the performance of the overall system.

Design and implementation of intelligent environment monitoring system based on OneNET platform

With the development of electronic technology, remote monitoring has become the main development direction of data management. The monitoring of indoor environmental data is our main research content. The OneNET platform provided by China mobile communications corporation is used as the coordination command center of the intelligent monitoring application system for terminal design and development. OneNET platform provides standardized access terminal and the background monitor template type design method of the staff through constructing a set of environmental data acquisition and monitoring system based on OneNET, implementation of indoor environment parameters, such as temperature, temperature and concentration of PM2.5 real-time reporting and management operation, with abnormal data of automatic alarm. The system shows that the design based on the open platform can effectively improve the generation efficiency of new business and promote the development of Internet of things business.

Building blocks for the development of an IoT business model

PurposePrevious studies have identified a variety of Internet of Things (IoT) business models and have recognised the complexity related to the application of IoT technologies in business, along with the potential of the modularity concept application in organisational design. The purpose of this paper is to identify the main building blocks for the development of a business model canvas for companies that adopt the IoT in their business.Design/methodology/approachFirst, the authors carried a systematic literature review to identify theoretical, experimental and practical IoT business model canvas recorded in the literature. Then, the authors identified and analysed the characteristics of the building blocks present in these canvas using a statistical cluster technique. Based on the outcomes, the authors proposed a framework with standard and optional modules to allow flexible arrangements and suit different IoT business goals.FindingsThe results revealed that the IoT business model canvas recorded in the literature had been grossly designed to attend two drivers: manufacture and service organisations. Therefore, based on the frequency of building blocks present in IoT business model canvas recorded in the literature, it has been proposed two flexible frameworks which can be tailored to accommodate the immense variety of possibilities offered by IoT technologies in manufacture and service business.Practical implicationsThe business model frameworks proposed in this research can support entrepreneurs structuring new IoT businesses or upgrading existing businesses.Originality/valueThis research offers a comprehensive IoT business model framework with their respective building blocks built from an extensive literature review.

Design and Implementation of a Trust Information Management Platform for Social Internet of Things Environments.

As the vast amount of data in social Internet of Things (IoT) environments considering interactions between IoT and people is accumulated and processed through cloud and big data technologies, the services that utilize them are applied in various fields. The trust between IoT devices and their data is recognized as the core of IoT ecosystem creation and growth. Connection with suspicious IoT devices may pose a risk to services and system operation. Therefore, it is essential to analyze and manage trust information for devices, services, and people, as well as to provide the trust information to the other devices or users that need it. This paper presents a trust information management framework which contains a generic IoT reference model with trust capabilities to achieve the goal of converged trust information management. Additionally, a trust information management platform (TIMP) consisting of trust agents, trust information brokers, and trust information management systems has been proposed, which aims to provide trustworthy and safe interactions among people, virtual objects, and physical things. Implementing and deploying a TIMP enables a trustworthy ecosystem to be built while activating social IoT businesses by reducing transaction costs, as well as by eliminating the uncertainties in the use of social IoT services and data transactions.

Simulation analysis of key technology optimization of 5G mobile communication network based on Internet of Things technology

With the rapid development of mobile Internet and Internet of Things business, the 5G mobile communication process has been accelerated. This article summarizes the Internet technology under 5G mobile communication, analyses the connotation of Internet of Things, and studies the integration of 5G mobile communications and Internet of Things technology. Through the analysis and discussion of the new possibilities in the Internet of Things era under 5G mobile communication technology, the research shows that the simulation analysis combined with the cell breathing technology and the base station dormancy technology aims to decrease the energy consumption of the base station under the premise of ensuring the communication quality, thereby improving the network energy efficiency. Research shows that in the dense and uniform user distribution scenario, the power consumption has a small decrease due to the increase of power consumption, but the system capacity is significantly improved and the communication quality is improved. It can ensure the user’s fairness and system capacity to achieve, and meet the rate requirements of different users. The analog results verify the accuracy of the theoretical analysis.

INTERORGANIZATIONAL RELATIONS AND ORGANIZATIONAL CAPABILITIES IN INTERNET OF THINGS BUSINESSES

The purpose of this research is to quantitatively clarify interorganizational relations and organizational capabilities suitable for IoT (Internet of Things) business. Moreover, we also proposed to look for the reasons why Japanese IoT-related businesses are not necessarily successful. According to prior research, it is thought that open innovation is useful in IoT business. This is because system cooperation and various types of technological knowledge are required of IoT business. Then, there are two general possibilities for the form of open innovation: selection with a large network and a narrow network. That there is much opportunity for outside encounters increases the opportunity for innovation. On the other hand, in reducing the number of cooperation partners and investing strategically in business resources, the success rate of a technological development may increase. Moreover, to utilize an open innovation, an organizational capability that fits an open innovation may be required. According to previous research, in interorganizational relations, selective ability and integration capability are important. It is thought that a high level of selective ability is very important. As compared with typical businesses, it is thought that there is much opportunity to select an external technology in which a company is inexperienced. On the other hand, it is also thought that the integration/coordination ability to advance the cooperation process steadily against the uncertain technology challenges among external organizations becomes important. As a methodology, a questionnaire was carried out to IT-related companies that undertake IoT business. As a result, the character of the interorganizational relations and the organizational capabilities related to profitability in IoT businesses became clear. The study also showed the challenge against organization management of the former type of Japanese firm.

Workload Allocation Mechanism for Minimum Service Delay in Edge Computing-Based Power Internet of Things

As a novel computing technology closer to business ends, edge computing has become an effective solution for delay sensitive business of power Internet of Things (IoT) and promotes the application and development of the IoT technology in smart grids. However, the inherent characteristics of a single edge node with limited resources may fail to meet the delay requirements for access ubiquitous IoT businesses of massive access. Multiple edge nodes are needed to cooperate with each other to optimize workload allocation to provide lower delay services. To this end, this paper proposes a workload allocation mechanism, orienting edge computing-based power IoT, which minimizes service delay. The workload optimization allocation model is established, and the optimal workload allocation oriented on delay among multiple edge nodes is further realized on the basis of computing resource optimization within the single edge node. The balanced initialization, resource allocation, and task allocation (BRT) algorithm are proposed. Based on the balanced initialization of workload within edge nodes, the particle swarm algorithm modified by the pheromone strategy is used to solve the problem of the computing resources’ allocation inside edge nodes. Finally, the task allocation among multiple edge servers is converted into a semi-definite programming problem. The simulation results show that the proposed BRT algorithm reduces the service delay by 9.1%, 16.9%, and 26.4%, and the service delay growth rate by 24.6%, 34.5%, and 38.7%, respectively, compared with the simulated annealing algorithm (SAA), LoAd Balancing (LAB), and Latency-awarE workloAd offloaDing (LEAD) algorithms.

An Empirical Study of Research and Development Network in an Internet of Things Business

An Empirical Study of Research and Development Network in an Internet of Things Business

The Internet of Things (IoT) in Information Agencies

The overall purpose of the paper is to provide an overview of the Internet of Things (IoT) to the information agencies (IA) such as libraries, archives, museums etc. The paper involved literature survey of selected academic and research IA in public and private chartered institutions. It examined that development of IoT has invented smart technologies that are not only fundamental but also very powerful business tools and devices applied in IA notably to the information services. In this paper, the author has summarized tangible IoT technologies which are helpful to IA to understand IoT business and highlighted the pros and challenges of Internet of Things (IoT).

Supporting the IoT Business Value Through the Platformization of Pilots

Testbeds are powerful large-scale experimentation tools. Often, however, their limited scope and/or unrealistic functionality result in anecdotal use. Knowledge transfer becomes more effective through pilots, but they involve techno-economic challenges with uncertain outcomes. Platform-based design has proven a valuable strategy to overcome similar barriers. However, we identify that while this platformization is happening in the cloud elements of the value chain, Internet-of-Things (IoT) devices are still designed in an application-specific manner, thus limiting pilots initiatives.

The future of the Internet of Things: toward heterarchical ecosystems and service business models

PurposeThis study aims to understand their emergence and types of business models in the Internet of Things (IoT) ecosystems.Design/methodology/approachThe paper builds upon a systematic literature review of IoT ecosystems and business models to construct a conceptual framework on IoT business models, and uses qualitative research methods to analyze seven industry cases.FindingsThe study identifies four types of IoT business models: value chain efficiency, industry collaboration, horizontal market and platform. Moreover, it discusses three evolutionary paths of new business model emergence: opening up the ecosystem for industry collaboration, replicating the solution in multiple services and return to closed ecosystem as technology matures.Research limitations/implicationsIdentifying business models in rapidly evolving fields such as the IoT based on a small number of case studies may result in biased findings compared to large-scale surveys and globally distributed samples. However, it provides more thorough interpretations.Practical implicationsThe study provides a framework for analyzing the types and emergence of IoT business models, and forwards the concept of “value design” as an ecosystem business model.Originality/valueThis paper identifies four archetypical IoT business models based on a novel framework that is independent of any specific industry, and argues that IoT business models follow an evolutionary path from closed to open, and reversely to closed ecosystems, and the value created in the networks of organizations and things will be shareable value rather than exchange value.

The Future of IoT

The Internet of Things (IoT) is infiltrating many businesses. It provides simple means to collect and analyze technical system data to identify and optimize the performance of many things in our private and work lives. This technical revolution is also revealing new challenges and issues with our current IoT technologies. New solutions like Artificial Intelligence, Blockchain or 5G promise to overcome these challenges. Within this paper we discuss with leading experts the pros and cons of these technologies and what it means for the future IoT business.

Internet of Things Business Models in Ecosystem Context-Cases of Elevator Services

Companies increasingly have to adapt new technology and design new business models to retain their competitive advantage in highly dynamic environments. The increasing pervasiveness of the Internet of things (IoT) has offered great potential in many different areas of application to lead or complement new business models. However, business models based on largely static, single firm or historical information architectures are facing challenges in today’s more dynamic environment as new ways of creating value arise across industries and between firms, clients and other stakeholders. Embracing the business ecosystem concept is now becoming critical in order to realize business opportunities or business model potential. This paper focuses on the elaboration of the business ecosystem concept in the IoT business model environment, from both academic and practitioners’ perspectives, to analyse how IoT business models are connected to the underlying business ecosystem. We analyse three cases from the elevator industry to explain how different business models are employed in connection with business and IoT ecosystems, as well as their challenges and possible options to overcome these challenges.

Network Analysis of Innovation in the Internet of Things

Background: In the Internet of Things (IoT) firms, innovation beyond the border of a company is important. Furthermore, advantageous positioning in the innovation network is thought to enhance the result of innovation and ultimately contribute to profit. Objectives: The objective of this research is to clarify empirically the influence of the network structure among companies on innovation in the IoT field. Method: In this research, the relationship between the network structure and the result of innovation was analysed through social network analysis. Joint application patents related to the IoT companies were extracted from the intellectual property database. Results: As a result, the difference in the network structure of a company was related to the result of research and profitability. In particular, a company with a platform type of business model is considered highly profitable in the IoT business field. Conclusion: Drawing on an intellectual property database and employing social network analysis, this research quantifies the structure of innovation networks in terms of the results and operational efficiency of R&D.

Designing Service Business Models for the Internet of Things: Aspects from Manufacturing Firms

The increasing pervasiveness of the Internet of Things (IoT) has offered a wealth of business model opportunities. Many conventional product-based companies are seeking to increase their competitiveness by moving toward a service-based business model where IoT can bring tremendous opportunities. These traditional product-sales manufacturing firms are required to look at business models beyond their conventional product-focused, firm-centric core competence business model innovation and respond to fast changing digitalization dynamics focused on promoting service-centric solution availability instead of physical products. However, studies and literatures have not yet provided profound and actionable approaches to service business models in IoT-driven environments for manufacturing firms. This research aims to fill the gap and elaborate the guiding principle for designing service business models for the Internet of Things in manufacturing firms. The guiding principles are derived from illustration of value of the Internet of Things and systemic review of academic literatures focusing on IoT business models. Exemplary real-world IoT service business models cases are demonstrating the applicability of the proposed guiding principles. Evaluation of the applicability of guiding principles pertaining to the emerging context of IoT business model can enable researchers and practitioners to visualize and analyze service business model design in a structured and actionable way.

NTT Group Initiatives to Create New Internet of Things Business

NTT Group Initiatives to Create New Internet of Things Business