How a Software Vendor Weathered the Stormy Journey to the Cloud

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Xiao Xiao ◽  
Jonas Hedman
Keyword(s):  
Software Vendor

Standards-Based Quantification in DTSA-II—Part I

2011 ◽  
Vol 19 (5) ◽  
pp. 30-36 ◽  
Author(s):  
Nicholas W.M. Ritchie
Keyword(s):  
Measured Spectrum ◽  
Complex Material ◽  
X Ray ◽  
Software Vendor ◽  
First Approximation ◽  
Constituent Elements

Quantifying an X-ray spectrum is the process of converting a measured spectrum into an estimate of the composition of the material from which the spectrum was collected. In a certain sense, interpreting X-ray spectra is very simple. A spectrum from even the most complex material can be thought of as a sum of spectra from the constituent elements (see Figure 1). To first approximation, if you know the spectrum for the constituent pure elements, you can estimate the spectrum for the complex material. Regardless of the software vendor or the name of the algorithm, this is the basis for quantification of all X-ray spectra.

Software Vendor Strategies

2012 ◽  
pp. 55-110
Author(s):  
Peter Buxmann ◽  
Heiner Diefenbach ◽  
Thomas Hess
Keyword(s):  
Software Vendor

scholarly journals Does a Platform Monopolist Want Competition?

2015 ◽  
Vol 14 (1) ◽  
pp. 1-44
Author(s):  
Andras Niedermayer
Keyword(s):  
Operating System ◽  
Product Variety ◽  
Credible Commitment ◽  
Software Vendor ◽  
Software Platforms ◽  
Carry Over ◽  
Microsoft Office

AbstractWe consider a software vendor first selling a monopoly platform and then an application running on this platform. He may face competition by an entrant in the applications market. The platform monopolist can benefit from competition for three reasons. First, his profits from the platform increase. Second, competition serves as a credible commitment to lower prices for applications. Third, higher expected product variety may lead to higher demand for his application. Results carry over to non-software platforms and, partially, to upstream and downstream firms. The model also explains why Microsoft Office is priced significantly higher than Microsoft’s operating system.

High-Frequency Trading and Conflict in the Financial Markets

2017 ◽  
Vol 32 (3) ◽  
pp. 270-282 ◽  
Author(s):  
Ricky Cooper ◽  
Jonathan Seddon ◽  
Ben Van Vliet
Keyword(s):  
Financial Markets ◽  
High Frequency ◽  
High Frequency Trading ◽  
Market Makers ◽  
Market Participants ◽  
Software Vendor ◽  
Traditional Market ◽  
Recent Developments ◽  
The Way

The last few decades has seen an ever-increasing growth in the way activities are productized and associated with a financial cost. This phenomenon, termed financialization, spans all areas including government, finance, health and manufacturing. Recent developments within finance over that past decade have radically altered the way trading occurs. This paper analyses high-frequency trading (HFT) as a necessary component of the infrastructure that makes financialization possible. Through interviews with HFT firms, a software vendor, regulators and banks, the effects of HFT on market efficiency, and its impact on costs to long-term investors are explored. This paper contributes to the literature by exploring the conflict that exists between HFT and traditional market makers in today's fragmented markets. This paper argues that society should be unconcerned with this conflict and should instead focus on the effects these participants have on the long-term investors, for whom the markets ultimately exist. In order to facilitate the best outcomes, regulation should be simple, aimed at keeping participants’ behavior stable, and the interactions among them transparent and straightforward. Financialization and HFT are inextricably linked, and society is best served by ensuring that the creative energy of these market participants is directed on providing liquidity and removing inefficiencies.

Examining the adoption of big data and analytics curriculum

2017 ◽  
Vol 23 (3) ◽  
pp. 506-517 ◽  
Author(s):  
Alexander J. McLeod ◽  
Michael Bliemel ◽  
Nancy Jones
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Academic Research ◽  
Software Support ◽  
Content Type ◽  
Software Vendor ◽  
Development Agenda ◽  
Practical Information ◽  
Information Materials ◽  
Practical Implications

Purpose The purpose of this paper is to explore the demand for big data and analytics curriculum, provide an overview of the curriculum available from the SAP University Alliances program, examine the evolving usage of such curriculum, and suggest an academic research agenda for this topic. Design/methodology/approach In this work, the authors reviewed recent academic utilization of big data and analytics curriculum in a large faculty-driven university program by examining school hosting request logs over a four-year period. The authors analyze curricula usage to determine how changes in big data and analytics are being introduced to academia. Findings Results indicate that there is a substantial shift toward curriculum focusing on big data and analytics. Research limitations/implications Because this research only considered data from one proprietary software vendor, the scope of this project is limited and may not generalize to other university software support programs. Practical implications Faculty interested in creating or furthering their business process programs to include big data and analytics will find practical information, materials, suggestions, as well as a research and curriculum development agenda. Originality/value Faculty interested in creating or furthering their programs to include big data and analytics will find practical information, materials, suggestions, and a research and curricula agenda.

scholarly journals Assessing Risks and Cloud Readiness in PaaS Environments

2019 ◽  
Vol 8 (3S) ◽  
pp. 243-249
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Risk Minimization ◽  
Cloud Infrastructure ◽  
Computing Environment ◽  
Configurable Computing ◽  
Cloud Computing Environment ◽  
Distributed Models ◽  
Software Vendor ◽  
Complex Architecture

The cloud computing has utilization of pervasive or distributed models on demand access to highly configurable computing devices for fast provision and less management efforts. The complex architecture, multitenant and virtual environment in cloud infrastructure asks for risks identification and mitigation. The cloud computing model business needs reassurances so it’s prime consideration for testing the cloud services. This research primarily identifies various risks, threats, testing models and vulnerabilities in cloud computing environment. This research has implemented the risk assessment and cloud readiness for PaaS environment by scanning its code with a software vendor. The research makes an emphasis on risk minimization strategies and trust evaluation in cloud computing environment.

scholarly journals A Portfolio Theory Approach to Software Vendor Selection

2015 ◽  
Vol 24 (4) ◽  
Author(s):  
Marius RĂDULESCU ◽  
Constanţa Zoie RĂDULESCU
Keyword(s):  
Portfolio Theory ◽  
Vendor Selection ◽  
Theory Approach ◽  
Software Vendor
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