Data-driven business model a methodology to develop smart services

2017 ◽  
Author(s):  
Konrad Exner ◽  
Rainer Stark ◽  
Ji Yoon Kim ◽  
Rainer Stark
Keyword(s):  
Business Model ◽  
Data Driven ◽  
Smart Services

Data-Driven Information Consumption

2019 ◽  
pp. 424-437
Author(s):  
Joseph McKendrick
Keyword(s):  
Digital Media ◽  
Business Model ◽  
News Media ◽  
Publishing Industry ◽  
Data Driven ◽  
News Content ◽  
Content Development ◽  
Media Organizations ◽  
Different Sources

Things are changing dramatically within the publishing industry. However, news media itself isn't on the wane, as many pundits are stating. In this chapter, the author explores how the business model for media organizations is shifting away from print, and away from the “gateway” approach to journalism and content development, in which a few select articles are presented to audience by editors, writers and reporters. In its place, the new digital media model is creating a plethora of content from many different sources, oftentimes first-hand accounts, original sources, or commentary. In the process, rather than resulting in a dearth of news content, audiences have access to an often dizzying, overwhelming and potentially contradictory content. This is creating potentially new roles for news and publishing organizations, serving as sources of validation and aggregation of content. At the same time, the rise of digital media is providing consumers a far wider range of choices pushing media organizations to provide content more tailored to their audiences.

Building an Analytics Culture to Boost a Data-Driven Entrepreneur's Business Model

2019 ◽  
pp. 260-291
Author(s):  
Soraya Sedkaoui ◽  
Mounia Khelfaoui
Keyword(s):  
Big Data ◽  
Small Business ◽  
Business Model ◽  
Business Process ◽  
Data Analytics ◽  
Data Driven ◽  
Business And Society ◽  
Crucial Importance

This chapter treats the movement that marks, affects, and transforms any part of business and society. It is about big data that is creating, and the value generating that companies, startups, and entrepreneurs have to derive through sophisticated methods and advanced tools. This chapter suggests that analytics can be of crucial importance for business and entrepreneurial practices if correctly aligned with business process needs and can also lead to significant improvement of their performance and quality of the decisions they make. So, the main purpose of this chapter are exploring why small business, entrepreneur, and startups have to use data analytics and how they can integrate, operationally, analytics methods to extract value and create new opportunities.

Applications of Cloud-Based Internet of Things

2021 ◽  
pp. 65-84
Author(s):  
Nipun R. Navadia ◽  
Gurleen Kaur ◽  
Harshit Bhardwaj ◽  
Taranjeet Singh ◽  
Aditi Sakalle ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Business Model ◽  
Data Driven ◽  
The Internet ◽  
Cloud Infrastructure ◽  
Business Decisions ◽  
Goods And Services ◽  
Cloud Network ◽  
The Internet Of Things

Cloud storage is a great way for companies to fulfill more of their data-driven needs and excellent technology that allows the company to evolve and grow at a faster pace, accelerating growth and providing a flexible forum for developers to build useful apps for better devices to be developed over the internet. The integration of cloud computing and the internet of things creates a scalable, maintainable, end-to-end internet of things solution on the cloud network. By applying the infrastructure to the real universe, it generates sources of insight. Cloud computing and IoT are separate technology but are closely associated and are termed as ‘cloud-based IoT' as IoT has the ability to create intelligent goods and services, gather data that can affect business decisions and probably change the business model to boost success and expansion, and cloud infrastructure can be at the heart of all IoT has to deliver.

scholarly journals Big Data for the Sustainability of Healthcare Project Financing

2019 ◽  
Vol 11 (13) ◽  
pp. 3748 ◽  
Author(s):  
Roberto Moro Visconti ◽  
Donato Morea
Keyword(s):  
Big Data ◽  
Business Model ◽  
Predictive Analytics ◽  
Interdisciplinary Approach ◽  
Data Driven ◽  
Project Finance ◽  
Public And Private ◽  
Smart Healthcare ◽  
Economic Marginality ◽  
Sustainable Planning

This study aims to detect if and how big data can improve the quality and timeliness of information in infrastructural healthcare Project Finance (PF) investments, making them more sustainable, and increasing their overall efficiency. Interactions with telemedicine or disease management and prediction are promising but are still underexploited. However, given rising health expenditure and shrinking budgets, data-driven cost-cutting is inevitably required. An interdisciplinary approach combines complementary aspects concerning big data, healthcare information technology, and PF investments. The methodology is based on a business plan of a standard healthcare Public-Private Partnership (PPP) investment, compared with a big data-driven business model that incorporates predictive analytics in different scenarios. When Public and Private Partners interact through networking big data and interoperable databases, they boost value co-creation, improving Value for Money and reducing risk. Big data can also help by shortening supply chain steps, expanding economic marginality and easing the sustainable planning of smart healthcare investments. Flexibility, driven by timely big data feedbacks, contributes to reducing the intrinsic rigidity of long-termed PF healthcare investments. Healthcare is a highly networked and systemic industry, that can benefit from interacting with big data that provide timely feedbacks for continuous business model re-engineering, reducing the distance between forecasts and actual occurrences. Risk shrinks and sustainability is fostered, together with the bankability of the infrastructural investment.

scholarly journals Service and Data Driven Multi Business Model Platform in a World of Persuasive Technologies

2016 ◽  
Vol 4 (1) ◽  
pp. 47-60
Author(s):  
Troels Christian Korsgaard Andersen ◽  
Torben Cæsar Bisgaard Bjerrum ◽  
◽  
Keyword(s):  
Business Model ◽  
Data Driven ◽  
Persuasive Technologies ◽  
Model Platform

scholarly journals The Appleization of finance: Charting incumbent finance’s embrace of FinTech

2018 ◽  
Vol 4 (2) ◽  
pp. 159-80
Author(s):  
Reijer Hendrikse ◽  
David Bassens ◽  
Michiel Van Meeteren
Keyword(s):  
Data Mining ◽  
Information And Communication Technologies ◽  
Business Model ◽  
Financial Services ◽  
Business Models ◽  
Communication Technologies ◽  
Data Driven ◽  
Financial Industry ◽  
Information And Communication ◽  
Financial Technology

The rise of financial technology (FinTech) engenders novel business models through integrating financial services and information and communication technologies (ICT). Digital currencies and payments, data mining, and other FinTech applications threaten to radically overhaul the financial sector. This article argues that, while we are becoming aware of how technology giants such as Apple Inc. are making inroads into financial services, we need to become more sensitive to how financial incumbents mimick ICT firms while aiming to neutralize the FinTech challenge. Practices from Silicon Valley are spilling over into ‘traditional’ finance through a process we dub Appleization. We illustrate how incumbents aim to remain indispensable amidst rapid digitization. Mimicking tech strategies, financial incumbents resort to transforming legacy ICT systems into integrated platforms, cultivating entrepreneurial ecosystems where startups are ‘free’ to compete whilst effectively being locked into the incumbent's orbit. We illustrate this by comparing Apple’s business features (locking-in developers, customers and state into a hybrid business model based on a synergy between hardware, software and data-driven platform components) with emerging practices in the financial industry. Our analogy suggests that the Appleization of finance might radically transform, yet not undercut the oligopolistic position of financial incumbents.

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