Data Analysis Services Related to the IoT and Big Data

Web Services ◽  
2019 ◽  
pp. 882-903
Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees J.M. Lanting
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Third Party ◽  
Data Driven ◽  
Easy Access ◽  
Provision Of Services ◽  
And Control ◽  
Measurement And Control ◽  
The Internet Of Things

The Internet of Things (IoT) provides the tools for the development of a major, global data-driven ecosystem. When accessible to people and businesses, this information can make every area of life, including business, more data-driven. In this ecosystem, with its emphasis on Big Data, there has been a focus on building business models for the provision of services, the so-called Internet of Services (IoS). These models assume the existence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated by any party. Different business models may support opportunities that generate revenue and value for various types of customers. This paper contributes to the literature by considering business models and opportunities for third-party data analysis services and discusses access to information generated by third parties in relation to Big Data techniques and potential business opportunities.

Data Analysis Services Related to the IoT and Big Data

2017 ◽  
Vol 9 (2) ◽  
pp. 37-56 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees J.M. Lanting
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Third Party ◽  
Data Driven ◽  
Easy Access ◽  
Provision Of Services ◽  
And Control ◽  
Measurement And Control ◽  
The Internet Of Things

The Internet of Things (IoT) provides the tools for the development of a major, global data-driven ecosystem. When accessible to people and businesses, this information can make every area of life, including business, more data-driven. In this ecosystem, with its emphasis on Big Data, there has been a focus on building business models for the provision of services, the so-called Internet of Services (IoS). These models assume the existence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated by any party. Different business models may support opportunities that generate revenue and value for various types of customers. This paper contributes to the literature by considering business models and opportunities for third-party data analysis services and discusses access to information generated by third parties in relation to Big Data techniques and potential business opportunities.

IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities

2018 ◽  
Vol 9 (3) ◽  
pp. 34-52 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Cees J.M. Lanting ◽  
Barbara J. Durkin
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Management Practices ◽  
Environmental Indicators ◽  
Third Party ◽  
Data Driven ◽  
Easy Access ◽  
Business Opportunities ◽  
Provision Of Services

This article describes ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, now cut across every area of modern day living, affecting individuals and businesses and offering the ability to obtain and measure environmental indicators. Proliferation of these devices in a communicating-actuating network creates an Internet of Things (IoT). The IoT provides the tools to establish a major, global data-driven ecosystem that also enables Big Data techniques to be used. New business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, a first, knowledge-based management practices, business models, strategic implications and business opportunities for third-party data analysis services.

The IoT- and Big Data-Driven Data Analysis Services

2018 ◽  
Vol 14 (4) ◽  
pp. 88-107 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees Lanting
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Environmental Indicators ◽  
Third Party ◽  
Data Driven ◽  
Easy Access ◽  
The Internet ◽  
Ubiquitous Sensing ◽  
Provision Of Services

Ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Now business models may focus on the provision of services, i.e., the Internet of Services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support potential opportunities to create revenue and value for various types of customers. This article contributes to the literature by considering, for the first time, business models, strategic implications and business opportunities for third-party data analysis services.

Evaluation of Strategic Opportunities and Resulting Business Models for SMEs

2020 ◽  
pp. 148-186 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Cees J. M. Lanting ◽  
Barbara Durkin
Keyword(s):  
Business Models ◽  
Management Practices ◽  
Environmental Indicators ◽  
Third Party ◽  
Easy Access ◽  
The Internet ◽  
Knowledge Based ◽  
Ubiquitous Sensing ◽  
Provision Of Services ◽  
And Control

This chapter focuses on ubiquitous sensing devices, enabled by Wireless Sensor Network (WSN) technologies, that cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Currently, business models may focus on the provision of services, i.e., the internet of services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, innovatively, knowledge-based management practices, strategic opportunities and resulting business models for third-party data analysis services.

Evaluation of Strategic Opportunities and Resulting Business Models for SMEs

2021 ◽  
pp. 689-718
Author(s):  
Izabella V. Lokshina ◽  
Cees J. M. Lanting ◽  
Barbara Durkin
Keyword(s):  
Business Models ◽  
Management Practices ◽  
Environmental Indicators ◽  
Third Party ◽  
Easy Access ◽  
The Internet ◽  
Knowledge Based ◽  
Ubiquitous Sensing ◽  
Provision Of Services ◽  
And Control

This chapter focuses on ubiquitous sensing devices, enabled by Wireless Sensor Network (WSN) technologies, that cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on Big Data. Currently, business models may focus on the provision of services, i.e., the internet of services (IoS). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, innovatively, knowledge-based management practices, strategic opportunities and resulting business models for third-party data analysis services.

Internet of Things and Big Data-Driven Data Analysis Services for Third Parties

2019 ◽  
pp. 256-289 ◽  
Author(s):  
Izabella V. Lokshina ◽  
Barbara J. Durkin ◽  
Cees J. M. Lanting
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
Business Models ◽  
Management Practices ◽  
Data Driven ◽  
The Internet ◽  
Knowledge Based ◽  
Provision Of Services ◽  
New Business

Ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, cut across every area of modern day living, affecting individuals and businesses and offering the ability to measure and understand environmental indicators. The proliferation of these devices in a communicating-actuating network creates the internet of things (IoT). The IoT provides the tools to establish a major global data-driven ecosystem with its emphasis on big data. Now business models may focus on the provision of services (i.e., the internet of services [IoS]). These models assume the presence and development of the necessary IoT measurement and control instruments, communications infrastructure, and easy access to the data collected and information generated. Different business models may support creating revenue and value for different types of customers. This chapter contributes to the literature by considering, for the first time, knowledge-based management practices, business models, new ventures, and new business opportunities for third-party data analysis services.

scholarly journals Big data-driven stochastic business planning and corporate valuation

2018 ◽  
Vol 15 (3-1) ◽  
pp. 189-204 ◽  
Author(s):  
Roberto Moro Visconti ◽  
Giuseppe Montesi ◽  
Giovanni Papiro
Keyword(s):  
Big Data ◽  
Research Question ◽  
Predictive Ability ◽  
Cash Flows ◽  
Data Driven ◽  
Business Planning ◽  
Information Asymmetries ◽  
Methodological Innovation ◽  
Set Up ◽  
And Control

The research question of this paper is concerned with the investigation of the links between Internet of Things and related big data as input parameters for stochastic estimates in business planning and corporate evaluation analytics. Financial forecasts and company appraisals represent a core corporate ownership and control issue, impacting on stakeholder remuneration, information asymmetries, and other aspects. Optimal business planning and related corporate evaluations derive from an equilibrated mix of top-down and bottom-up approaches. While the former follows a traditional dirigistic methodology where companies set up their strategic goals, the latter are grass-rooted with big data-driven timely evidence. Real options can be embedded in big data-driven forecasting to make expected cash flows more flexible and resilient, improving Value for Money of the investment and reducing its risk profile. More accurate and timely big data-driven predictions reduce uncertainties and information asymmetries, making risk management easier and decreasing the cost of capital. Whereas stochastic modeling is traditionally used for budgeting and business planning, this probabilistic process is seldom nurtured by big data that can refresh forecasts in real time, improving their predictive ability. Combination of big data and stochastic estimates for corporate appraisal and governance issues represents a methodological innovation that goes beyond the traditional literature and practice.

scholarly journals Big Data Analysis Model for MRO Business Using Artificial Intelligence System Concept

2018 ◽  
Vol 7 (3.33) ◽  
pp. 134
Author(s):  
Inhwan JUNG ◽  
He SUN ◽  
Jangmook KANG ◽  
Choong Hyong Lee ◽  
Sangwon LEE
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analysis ◽  
Business Models ◽  
Analysis Model ◽  
Artificial Intelligence System ◽  
Shipbuilding Industry ◽  
Intelligence System ◽  
System Concept ◽  
Ship Maintenance

The rapidly changing environment of the shipbuilding industry has put Korea’s shipbuilding industry in a crisis. The purpose of this study was to develop a business model to maintain, maintain and operate Big Data-based MRO(Maintenance, Repair, and Operation) consumables, which is expected to be the new growth engine for the domestic shipbuilding industry. Although Korean shipbuilders have world-class technologies for ship dogma, the market for ship maintenance and repair is still in its infancy. For Korean shipbuilders, MRO business can be a growth engine that will provide food for the next 30 years, but to do so, we need to make sure that everything that happens in the entire process, from ship design to maintenance and maintenance. Therefore, by systematically establishing Big Data related to components and developing MRO business models based on data analysis capabilities using Artificial Intelligence system concept, we can develop new growth engines for related industries in Ship Industry.  

Sign in / Sign up

Export Citation Format

Share Document