Matthias VolkOtto-von-Guericke-Universität Magdeburg | OvGU · Department of Technical & Operational Information Systems (ITI)
Matthias Volk
Doctor of Engineering
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65
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299
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Citations since 2017
Publications
Publications (65)
In this research article, the buzzwords of digital thread, digital twin, and Industry 4.0 are examined by means of a systematic literature review. The key concepts shaping these paradigms are investigated to achieve an overview of existing solutions. First, the body of the literature is explored to provide general observations on similarities and d...
The retailing industry witnessed a significant shift in the past years, which introduced significant modifications in the standard procedures and regular practices of supply chains (SC). These necessary modifications and worldwide distress caused major disruptions and instabilities in SC. Organizations started developing digital-transformation stra...
With the significance, ubiquity, and complexity of information technology continuously rising, the corresponding quality assurance becomes increasingly important and challenging. Consequently, numerous tools, techniques, paradigms, and strategies that facilitate the quality assurance of the developed applications have emerged. Test-driven developme...
Due to the ongoing trend of digitalization, the importance of software for today’s society is continuously increasing. Naturally, there is also a huge interest in improving its quality, which led to a highly active research community dedicated to this aim. Consequently, a plethora of propositions, tools, and methods emerged from the corresponding e...
In this research article, the buzzwords of digital thread, digital twin, and Industry 4.0 are examined by means of a systematic literature review. The key concepts shaping these paradigms are investigated to achieve an overview of existing solutions. First, the body of the literature is explored to provide general observations on similarities and d...
The retailing industry witnessed a significant shift from conventional retailing to online marketplaces, inducing many challenges on the common practices of supply chain. Supply chains are normally subject to a wide range of disruptions, that are caused by certain events. Still, few organizations are relying on appropriate data streams and required...
Design Science Research (DSR) has emerged as a methodological approach for conducting research whose overarching goal is to develop new means, referred to as artifacts, in the form of constructs, models, methods, and instantiations to improve reality. Due to their context dependent nature and the growing interest in the rapid development of new tec...
In times of crisis, at which many people experience insecurity, fear, and uncer-tainty, the government plays a critical role when it comes to civil protection and the distribution of vital information. However, in many cases, misleading or con-tradictory information are spread by various sources, exacerbating the desperation of the local population...
Within the last decade, big data became a promising trend for many application areas, offering immense potential and a competitive edge for various organizations. As the technical foundation for most of today´s data-intensive projects, not only corresponding infrastructures and facilities but also the appropriate knowledge is required. Currently, s...
In a world that is more and more driven by data, decision makers are
provided with a huge amount of information. However, while this appears to be a good development, they also face the challenge of getting through those masses to get to the actually important insights. To ease this task for managers that oversee highly complex situations, manageme...
With the increasing relevance of decentralisation for the software development process, being aware of the possible challenges and corresponding solutions has become more relevant than ever. The scientific body of knowledge is currently containing many publications about specific aspects of decentralisation, but is lacking in collections that cover...
As a consequence of the ongoing digitalization in today’s society, the amount of data that is being produced is rapidly increasing. Moreover, not only the volume of the data is growing, but there are also more complex types of data and, depending on the use case, it is also necessary to integrate heterogenous data into one analysis. Since tradition...
The trend of connectivity dominates the technological progress. The number of networked devices is constantly increasing and the use of smart meters has become more societally relevant. For that reason, reliability is an important attribute of related architectures. To calculate reliability, it is required to do a specific analysis for the entire s...
Knowledge, information, and modern technologies have become some of the most influential drivers of today’s society, consequently leading to a high popularity of the concepts of big data (BD). However, their actual harnessing is a demanding task that is accompanied by many barriers and challenges. To facilitate the realization of the corresponding...
For almost a decade now, big data has become the foundation of today's data-intensive systems used for various disciplines, such as data science or artificial intelligence. Although a certain level of maturity has been reached since then, not only in the domain itself but also in the engineering of interconnected systems, many problems still exist...
The concept of big data hugely impacts today’s society and promises immense benefits when utilized correctly, yet the corresponding applications are highly susceptible to errors. Therefore, testing should be performed as much and rigorous as possible. One of the solutions proposed in the literature is the test driven development (TDD) approach. TDD...
Big data has emerged to be one of the driving factors of today’s society. However, the quality assurance of the corresponding applications is still far from being mature. Therefore, further work in this field is needed. This includes the improvement of existing approaches and strategies as well as the exploration of new ones. One rather recent prop...
For many years now, the domain of big data has received lots of attention, as numerous studies, reports, and research articles reveal. Up to this date, a multitude of different definitions, guidelines, technologies, architectures, and best practices appeared that were supposed to provide clarity in the jungle of existing solutions. Instead, it led...
The ongoing digitization of our world leads to many areas of our lives being more pleasant and improved. New technologies and paradigms are emerging to support the development of software and systems. Their proliferation not only leads to higher complexity of potential solutions, but also to the problem of finding qualified people. Especially enter...
With a continuously increasing amount and complexity of data being produced and captured, traditional ways of dealing with their storing, processing, analysis and presentation are no longer sufficient, which has led to the emergence of the concept of big data. However, not only the implementation of the corresponding applications is a challenging t...
The approach of copying business models to create a successful company is discredited as non-innovative and propagated as a low-risk variant of entrepreneurship although a simple so-called copycat would only increase competition in the market and not guarantee success. Hence, the question of which characteristics of a business model enable success...
For many years now big data presents itself as a technical starting point for a multitude of different trends, including data science, artificial intelligence, the internet of things, industry 4.0, and others. However, many decision makers are still challenged by the realization of related projects. One of the major problems arises from the multitu...
Digitalization move has motivated companies to adopt software for their business processes. This led to increase projects' complexity. Project management process plays a significant role in reaching a successful completion of IT-projects. It has been seen that management methodologies like waterfall and scrum are still not sufficient for every proj...
Due to the ever increasing amount of data that is produced and captured in today’s world, the concept of big data has risen to prominence. However, implementing the respective applications is still a challenging task. This holds especially true, since a high degree of flexibility is desirable. One potential approach is the utilization of novel dece...
Big data has evolved to a ubiquitous part of today’s society. However, despite its popularity, the development and testing of the corresponding applications are still very challenging tasks that are being actively researched in pursuit of ways for improvement. One newly introduced proposition is the application of test driven development (TDD) in t...
Microservices and Big Data are renowned hot topics in computer science that have gained a lot of hype. While the use of microservices is an approach that is used in modern software development to increase flexibility, Big Data allows organizations to turn today’s information deluge into valuable insights. Many of those Big Data architectures have r...
In the recent years, the term big data has attracted a lot of attention. It refers to the processing of data that is characterized mainly by 4Vs, namely volume, velocity, variety and veracity. The need for collecting and analysing big data has increased manifolds these days as organizations want to derive meaningful information out of any data that...
Motivation has been observed to be crucial for learning success. In computer science education, new approaches for knowledge transfer that create more engagement by their users seem to be a desirable solution. This can be facilitated, inter alia, through business simulation games (BSG). Within this paper, a preliminary literature review is conducte...
Due to the constantly increasing amount and variety of data produced, big data and the corresponding technologies have become an integral part of daily life, influencing numerous domains and organizations. However, because of its diversity and complexity, the necessary testing of the corresponding applications is a highly challenging task that lack...
Nowadays AM is a rapidly growing and emerging discipline in manufacturing, as well as AI is in informational applications. Both are related to logistical and self-referential/-copying concepts which make them scalable. What is in AM osmotic mass production spreading is in AI-related Cyber-Physical Systems (CPS) the osmotic computational approach. A...
Der vorliegende Beitrag gibt eine grundlegende Einführung zu dem Begriff Big Data. Nach einer kurzen Darstellung der Relevanz und Aktualität des Themas, wird im Folgenden auf den Begriff selbst, und die ihm zugrunde liegenden Charakteristiken der Daten eingegangen. Im Anschluss erfolgt eine Vorstellung technischer Grundlagen, wobei ausgewählte Konz...
Der Beitrag stellt den Einfluss der Beschaffung auf den Unternehmenserfolg dar, schildert wie hierbei durch die Nutzung mobiler Endgeräte ein Mehrwert geschaffen werden kann und welche Herausforderungen dabei zu beachten sind. Zusätzlich werden mögliche Anwendungsszenarien und zwei exemplarische Ansätze aus der Praxis vorgestellt. Zum Abschluss wer...
While the emerging technology of robotic process automation is primarily suitable for back office processes, companies use traditional chatbots to support customer interaction in the front office. However, customer requests that require more than written information usually demand an employee to execute an internal process. This paper summarizes th...
Big data analytics and the according applications have gained huge importance in daily life. This results on the one hand from their versatility and on the other hand from their capability to greatly improve an organization’s performance when utilized appropriately. However, despite their prevalence and the corresponding attention through practitio...
The amount of semi-structured textual data being generated all over the world wide web has placed the limelight on the fields of natural language processing and text mining. With the continuous growth of IT companies, there are a lot of new and diverse projects getting introduced. Hence, the need for project management tools that provide robust, ef...
Due to the growing amount of data that are produced, the concept of big data analytics gained plenty of interest among researchers and practitioners. However, there are many challenges related to its use. One of those is the data storing and subsequently the corresponding extraction of required data. Since this process is prone to error, it require...
Big data attracts researchers and practitioners around the globe in their desire to effectively manage the data deluge resulting from the ongoing evolution of the information systems domain. Consequently, many decision makers attempt to harness the potentials arising with the use of those modern technologies in a multitude of application scenarios....
Although the term of big data and related technologies received lots of attention in recent years, many projects are less successful than anticipated. One of the most crucial steps in the planning of a system includes the modeling of the underlying architecture. However, as of now, no standardized approach exists that facilitates the modeling of bi...
Big Data is a term that gained popularity due to its potential benefits in various fields, and is progressively being used. However, there are still many gaps and challenges to overcome, especially when it comes to the selection and handling of relevant technologies. A consequence of the huge number of manifestations in this area, growing each year...
Big data has proved to be one of the most promising trends in recent years. However, many challenges and barriers still exist, especially when it comes to the strategic planning and realization of those kinds of projects. Most of all, the selection and combination of the domain–related technologies represents a sophisticated endeavor that increases...
The utilization of data in general and big data in particular offers large opportunities, but is at the same time accompanied by a huge number of potential causes for failure. To avoid those pitfalls when realizing such undertakings, at the beginning, it is necessary to develop an in-depth understanding of those causes. This contribution analyses t...
The copycat approach - replicating proven business models - presents an alternative to following the classic entrepreneurial path in venture creation which is highly contested due to the common perception of being non-innovative and of low-risk. However, existing literature contradicts this conception. This paper features a case study of German e-c...
For many years now, researchers as well as practitioners are harnessing well-known data mining processes, such as the CRISP-DM or KDD, to realize their data analytics projects. In times of big data and data science, at which not only the volume, variety and velocity of the data increases, but also the complexity to process, store and manage them, c...
As big data is a rather young, but growing discipline, lots of confusion about the general nature of this term exists. Consequently, multiple research endeavours to discover unique characteristics, technologies, techniques and their interconnections were conducted, resulting in comprehensive classification approaches. For this purpose, various taxo...
In order to ensure adequate education and training in a statistics-driven field, large sets of content-compliant training data (CCTD) are required. Within the context of practical orientation, such data sets should be as realistic as possible concerning the content in order to improve the learning experience. While there are different data generato...
Der vorliegende Beitrag gibt eine grundlegende Einführung zu dem Begriff Big Data. Nach einer kurzen Darstellung der Relevanz und Aktualität des Themas, wird im Folgenden auf den Begriff selbst, und die ihm zugrunde liegenden Charakteristiken der Daten eingegangen. Im Anschluss erfolgt eine Vorstellung technischer Grundlagen, wobei ausgewählte Konz...
Big data is considered as one of the most promising technological advancements in the last decades. Today it is used for a multitude of data intensive projects in various domains and also serves as the technical foundation for other recent trends in the computer science domain. However, the complexity of its implementation and utilization renders i...
Today, the amount and complexity of data that is globally produced increases continuously, surpassing the abilities of traditional approaches. Therefore, to capture and analyze those data, new concepts and techniques are utilized to engineer powerful big data systems. However, despite the existence of sophisticated approaches for the engineering of...
Alongside the fourth industrial revolution and many other emerging technologies and markets, IT sectors are obligated to achieve a much higher level of efficiency in managing IT infrastructure through automation. Recent studies reported various statistical analysis that suggests tremendous growth in the energy consumption of data center operation....
The amount of data to be produced and analyzed is increasing year by year. As a result, the concept of big data gained interest among researchers and practitioners. However, a plethora of challenges and potentials require the attention from researchers and practitioners to enhance the future development. Apart from the pure processing of the data a...
Today, a number of automated methods exist to augment predictive models with annotations when working on huge collections of unstructured texts. One such method involves the use of machine learning techniques. This work seeks to investigate the use of those techniques for annotations on UIMA a framework used for the analysis of unstructured data. B...
In today’s world, digitization has reached an important role. While more and more enterprises are interested in a realization and aware of its importance, it rather lacks on the implementation. This applies most of all for those with a low budget for new investments, such as small and medium enterprises (SME), as well as even smaller forms (VSE). F...
![Fig. 1. Conducted workflow of the Design Science Research Methodology [9]](profile/Matthias-Volk-4/publication/333836417/figure/fig1/AS:900864638189568@1591794275354/Conducted-workflow-of-the-Design-Science-Research-Methodology-9_Q320.jpg)
In recent years, big data systems are getting increasingly complex and require a deep domain specific knowledge. Although a multitude of reference architectures exist, it remains challenging to identify the most suitable approach for a specific use case scenario. To overcome this problem and to provide a decision support, the design science researc...
Der Beitrag stellt den Einfluss der Beschaffung auf den Unternehmenserfolg dar, schildert wie hierbei durch die Nutzung mobiler Endgeräte ein Mehrwert geschaffen werden kann und welche Herausforderungen dabei zu beachten sind. Zusätzlich werden mögliche Anwendungsszenarien und zwei exemplarische Ansätze
aus der Praxis vorgestellt. Zum Abschluss wer...
This contribution examines the terms of big data and big data engineering, considering the specific characteristics and challenges. Deduced by those, it concludes the need for new ways to support the creation of corresponding systems to help big data in reaching its full potential. In the following, the state of the art is analysed and subdomains i...
Digitization raised new opportunities and challenges for organizations. Due to greater use of IT in business, extra expenses accrue to improve the IT infrastructure in these organizations. In order to deal with the new challenges and get the benefit of the new opportunities, IT Operation Management (ITOM) is a potential concept which can be used by...
The domain big data reached a productive status in recent years and is progressively being used. However, there are still many problems and challenges to overcome, especially when it comes to the selection and handling of relevant technologies. In consequence of a nearly endless number of manifestations in this area, rising year by year, not only t...
Big data and data analytics related projects are attracting researchers, practitioners, and policymakers around the globe. In order to increase the probability of a project success and to get competitive advantages, stakeholders need to have solid understanding of the main objectives, risks, requirements, and the used technologies. This is a challe...
The success of big data projects depends heavily on the ability to decide which technological expertise and architectures are required in such a context. However, there is confusion in scientific discourse regarding the systemization of big data technologies which exacerbates this problem. Therefore, in this paper, a structured literature review is...
The number of online purchases is increasing
constantly. Companies have recognized the related
opportunities and they are using online channels progressively.
In order to acquire potential customers, companies often try to
gain a better understanding through the use of web analytics.
One of the most useful sources are web log files. Basically,
thes...
IT Projects related to Big Data topics are often less successful than anticipated. One reason for that is
uncertainty about the suitability of Big Data technologies for certain project settings. Gartner’s Data
Magnitude Index has been developed to address this problem. However since its introduction in 2012, Big
Data characteristics and metrics hav...
Projects
Projects (2)
On 9.11.2021, the ceremonial opening of the OvGU's cooperation with the companies Google Cloud and Accenture took place, including numerous professional and motivating speeches. The goals are manifold. While on the one hand innovative business and application scenarios for cloud technologies are being researched, including topics such as event-based retailing and real-time campaign management in the retail sector, the second part of the initiative, the Cloud Academy, aims to provide high-quality education for the next generation of workers in this field.
The scope of the newly designed Open Enterprise Cloud Initiative became already apparent through the ensemble of high-ranking personalities. In addition to the Minister President of Saxony-Anhalt, Dr Reiner Haseloff, the Rector of Otto von Guericke University, Prof. Dr Jens Strackeljan, the Global Managing Director and Chief Technology Officer (CTO), Prof. Dr Alexander Zeier, and the Managing Director Intelligent Platform Services and SAP Business Group ASGR, Dirk Appelhoff, from Accenture, as well as the Director of Government Affairs & Public Policy for Germany, Eveline Metzen, and Partner Manager Achim Ramesohl from Google Cloud took part in the event. Prof. Dr. Klaus Turowski, scientific director of the university, completes the line-up of leading heads of the initiative.
In recent years, big data has proved to be one of the most promising trends in the IT sector. Many researchers and practitioners are harnessing the capabilities and opportunities that are given by its application in their IT projects. However, many challenges and barriers still exist, especially when it comes to the strategic planning and realization of those endeavors. Apart from the overall identification of the sensibility of a big data application, most of all, the selection and combination of the domain–related technologies constitutes a sophisticated task that increases the complexity of creating, maintaining and testing a big data system. Therefore, the goal of this project is to provide potential decision makers support when it comes to the execution of their big data projects.