The Political Calculus of Capital: Banking and the Business Class in Prussia, 1848–1856

1992 ◽  
Vol 25 (2) ◽  
pp. 149-176 ◽  
Author(s):  
James M. Brophy
Keyword(s):  
Large Scale ◽  
Industrial Revolution ◽  
Investment Banks ◽  
Water Steam ◽  
Modern Capitalism ◽  
Start Up ◽  
New Business ◽  
Modern Business ◽  
Revolution Of 1848

The emergence of commercial investment banks after the revolution of 1848 was an institutional breakthrough for modern capitalism and one of the central factors in the accelerated development of the Industrial Revolution in Germany between 1848 and 1871. The accumulation and mobilization of capital in concentrated and accessible forms was indispensable for underking such large-scale projects as railroads, coal mines, and iron works. Long-term promotional loans that enabled entrepreneurs to start up new business became a self-evident necessity in the growth of modern business. As one bank director noted, “capital, more than water, steam, or electricity, put the machines into motion.”

The Empire was Unique

2020 ◽  
pp. 156-174
Author(s):  
Jonathan Scott
Keyword(s):  
Eighteenth Century ◽  
North America ◽  
Population Growth ◽  
Large Scale ◽  
Industrial Revolution ◽  
Native Peoples ◽  
Settler Population ◽  
The Impact

This chapter explores English and Dutch relationships with native peoples in Atlantic North America. In practice, these relationships were violent ones, though there were important differences. The chapter shows that only English settlement became the basis for a long-term, large-scale trans-Atlantic transfer of people and culture. This necessitated expropriation not only of resources but territory, a process executed where necessary with savagery, assisted by the impact upon native peoples of introduced diseases, especially smallpox. This made possible the later explosive eighteenth-century settler population growth which would be a key stimulant of the Industrial Revolution. To this extent the Anglo-Dutch-American archipelago was mapped in blood.

scholarly journals Digitalization – quo vadis?

2018 ◽  
Vol 44 ◽  
pp. 00056
Author(s):  
Juho Mäkiö ◽  
Andrey Miroliubov ◽  
Valeria Zhgun
Keyword(s):  
Business Models ◽  
Industrial Revolution ◽  
Global Business ◽  
Business Ecosystem ◽  
New Business ◽  
Modern Business ◽  
Quo Vadis ◽  
Insight Into ◽  
Future Business ◽  
Practical Recommendations

Digitalization is changing the global business ecosystem at an unimaginable speed. Although previous industrial revolutions took dozens of years to transform the existing markets, internet-based companies like Google, Amazon and Uber have done it in less than ten years. Business models in the nearest future – how will they look like? Where will the extensive process of the fourth industrial revolution take us? How will our role as entrepreneurs, managers or consumers change in the new business ecosystem? In this paper we consider the changes concerning the process of digitalization as the main prerequisites for transformation of business models. We combine them into three main aspects that influence modern business modeling approaches: technological, social and economic. This prospective gives insight into the way the future business models will look like and leads us to practical recommendations for companies to follow when digitizing their business.

Adverse selection in a start-up long-term care insurance market

2014 ◽  
Vol 20 (2) ◽  
pp. 298-347 ◽  
Author(s):  
C. Adams ◽  
C. Donnelly ◽  
A. Macdonald
Keyword(s):  
Adverse Selection ◽  
Long Term Care ◽  
Term Care ◽  
Insurance Benefit ◽  
Adverse Selection Costs ◽  
Percentage Difference ◽  
Start Up ◽  
New Business ◽  
Long Term Care Insurance

AbstractCommon to all previous studies assessing the cost of adverse selection associated with genetics has been the assumption of an established market, i.e., the adverse selectors have been buying insurance at that rate for such a period that premiums have already absorbed it. Their analyses involve calculating the percentage difference between premiums in a market with adverse selection and one without adverse selection. They can shed no light on how the premiums would get to this stage over time and what losses might be incurred in the process. We take the modelling further by outlining a multiple state Markov model for a start-up market of long-term care insurance. With this model, we explicitly show the progression of adverse selection costs using the development of information that an insurer would gain from analysing the claims history of its existing business, to reprice premiums for new business. To overcome the complication of insurance benefit amounts, which depend on the value of previous benefit payments, we develop a simulation approach of estimating the expected present values of insurance benefits and premium payments. In applying our modelling to a UK setting, we find genetic testing of the apolipoprotein E gene (whose variants can cause a high risk of developing dementia) to be of a relatively small impact compared with our hypothetical state of intermediate dementia progression. Furthermore, we find that the government’s cap on care costs has little effect on adverse selection costs as it benefits only a small proportion of people.

scholarly journals Business Models in the Industry 4.0 Environment—Results of Web of Science Bibliometric Analysis

2022 ◽  
Vol 8 (1) ◽  
pp. 19
Author(s):  
Sandra Grabowska ◽  
Sebastian Saniuk
Keyword(s):  
Competitive Advantage ◽  
Bibliometric Analysis ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Revolution ◽  
Strategic Thinking ◽  
Research Areas ◽  
New Business ◽  
Modern Business ◽  
Business Practitioners

The Fourth Industrial Revolution affects the operations of companies and results in new strategic thinking. The changes resulting from the requirements of Industry 4.0 force restructuring in many areas of management or the building of new business models. The aim of this article was to indicate the pillars that will form the basis for building business models of enterprises functioning in the era of Industry 4.0. The research methods used in this article were bibliometric analysis and analysis of the content of sophisticated publications. The results of this research are the analysis of the dynamics of publications in the area of business models in the era of Industry 4.0, an indication of the research areas undertaken in these publications and the identification of the pillars that will constitute the basis for building business models in the era of Industry 4.0. Business models in the era of Industry 4.0 are to be a method of increasing and using the company’s resources in order to achieve a competitive advantage through personalization of products and their new quality; their key competitive advantage will be a structure based on a network of cyber-physical cooperation. This article is dedicated to scientists and business practitioners looking for tips for building modern business models.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Computer Analyses in Preventive Health Research

1967 ◽  
Vol 06 (01) ◽  
pp. 8-14 ◽  
Author(s):  
M. F. Collen
Keyword(s):  
Medical Research ◽  
Preventive Medicine ◽  
Health Research ◽  
Large Scale ◽  
Preventive Health ◽  
New Era ◽  
Large Numbers ◽  
Normal Test ◽  
Computer Analyses

The utilization of an automated multitest laboratory as a data acquisition center and of a computer for trie data processing and analysis permits large scale preventive medical research previously not feasible. Normal test values are easily generated for the particular population studied. Long-term epidemiological research on large numbers of persons becomes practical. It is our belief that the advent of automation and computers has introduced a new era of preventive medicine.

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

The New Business Road Test: What Entrepreneurs and Investors Should Do Before Launching a Lean Startup, by John Mullins

2019 ◽  
Vol 1 (1) ◽  
pp. 89-92
Author(s):  
José Luis Albites Sanabria
Keyword(s):  
Road Test ◽  
Start Up ◽  
Plan B ◽  
Entrepreneurial Team ◽  
New Business ◽  
First Time ◽  
Lean Startup ◽  
Thought Leaders

John Mullins is a researcher, teacher and one of the world’s foremost thought leaders in entrepreneurship. Over the years, John has been hailed as an inspiration for entrepreneurs who have employed the models outlined in books such as Getting to Plan B or The Customer-Funded Business, in order to transform their ideas into global startup companies. Now in its 5th edition, The New Business Road Test guides the reader through the complex yet gripping process of testing a business idea. How can you be completely sure that your list of start-up ideas is good or bad? How much time or money should you invest in each of these ideas? And, for first-time entrepreneurs, should you embark upon a start-up just because you love your idea? Should you leave a stable job and focus entirely on what feels to you like a good business idea? Mullins’ book offers thoughtful readers guidance on the thorny issues associated with entrepreneurship that you yourself may be facing even as you read this introduction. In order to fully understand the theories behind the tools and advice for testing your idea, we must start by understanding Mullins’ vision of the entrepreneurial world. The book begins by defining three elements crucial to the success of a business: the market, the industry, and the entrepreneurial team.

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