Dimitri Petrik- Doctor of Business Administration
- Junior research Group Leader at University of Stuttgart
Dimitri Petrik
- Doctor of Business Administration
- Junior research Group Leader at University of Stuttgart
Junior research group leader researching smart circular economy and information management for industrial sustainability
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Introduction
Current institution
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Position
- Junior Research Group Leader and Post-doc
Description
- Doctoral researcher at the Dept. VIII: Chair of Information Systems II at the University of Stuttgart and the Graduate School of Excellence advanced Manufacturing Engineering GSaME
Publications
Publications (82)
Data spaces provide the environment for sovereign inter-organizational data sharing. However, data sharing in practice remains hampered, as data is perceived as a strategic resource and organizations lack approaches to assess the criticality, protection needs, or value of data assets. As a result, organizations struggle to describe their datasets,...
Zusammenfassung
Open Source Software (OSS) hat sich als integraler Bestandteil moderner Softwareentwicklung etabliert und gewinnt auch im Startup-Kontext zunehmend an Bedeutung. Diese Studie untersucht die OSS-Aktivitäten deutscher Unicorns anhand einer quantitativen Inhaltsanalyse ihrer öffentlichen Git-Repositories. Ziel ist es, Zusammenhänge zwi...
To meet climate targets, it is essential to establish a closed-loop system for the critical raw materials used in lithium-ion batteries, necessitating robust planning and forecasting methods for end-of-life battery volumes. Recycling end-of-life automotive batteries is crucial for establishing sustainable circulating flows of raw materials to reduc...
The significance of digital servitization in the industrial engineering domain is becoming increasingly apparent. A significant number of component and system manufacturers are attempting to incorporate digital services and products into their existing product portfolios with the aim of enhancing customer value. A promising avenue for exploration i...
The digitalization of manufacturing is progressing steadily. This transition means that value creation in manufacturing is increasingly being orchestrated through digital platforms. The success of digital platforms depends heavily on the deployment of boundary resources by the platform provider. They allow the platform provider to maintain control...
Zusammenfassung
Der Übergang zur nachhaltigen Wertschöpfung ist ein wichtiges gesamtgesellschaftliches Ziel. Insbesondere in ressourcenintensiven Domänen gehen die Organisationen und ganze Wertschöpfungsketten zunehmend dazu über, ihre Prozesse an den Prinzipien der Kreislaufwirtschaft (Circular Economy) auszurichten. Zur Realisierung der Kreislauf...
This paper explores challenges in intra-organizational data ecosystems, with a focus on data quality and its impact on organizations. Data quality is essential for optimizing data integration and interoperability within large companies, which often function as independent ecosystems. However, data sharing is frequently hindered by various issues. T...
Achieving accurate carbon accounting across the supply chain in the packaging industry is hampered by data silos and limited automation. This paper presents an innovative approach to carbon accounting that integrates Digital Product Passports for data exchange across the entire value chain. Using the corrugated cardboard industry as a case study, i...
Low-code development and deployment have become increasingly popular in recent years and is now used by many organizations. By providing a simple and user-friendly interface for creating source code, these low-code can significantly reduce the time and cost of developing digital applications. With low-code, software applications can be implemented...
As companies increasingly develop data products and follow data-driven strategies for competitive advantage, the decisions about sharing data become important. In practice, however, organizations are hesitant to participate in data sharing. To address this problem, this paper presents a taxonomy to characterize data assets and improve structured as...
As companies increasingly develop data products and follow data-driven strategies for competitive advantage, the decisions about sharing data become important. In practice, however, organizations are hesitant to participate in data sharing. To address this problem, this paper presents a taxonomy to characterize data assets and improve structured as...
The 7th International Workshop on Software-intensive Business (IWSiB'24), held on April 16, 2024, in Lisbon, Portugal, as part of the 46th International Conference on Software Engineering (ICSE 2024), brought together diverse research communities to address the pressing challenges faced by software-producing organizations. These challenges, driven...
Ecosystems have the promising potential to respond to economic but also environmental and social challenges, such as by enabling circular thinking, establishing fair supply chains, responsible collaborations, and ensuring resilience. In this report, we summarize findings from multiple data sources in the context of the NaWerSys workshop series whic...
The limited lifespan of Electric Vehicle Batteries (EVBs) and their disposal represent a major challenge to our environment. Therefore, it is of great importance to develop innovative solutions for the return of EVBs into the Circular Economy (CE) to conserve resources, reduce CO2 emissions and thus achieve economic, environmental, and social susta...
Organizations and even entire industries rethink their processes to align them with principles of circularity. Data is a key driver in the transformation toward a circular economy. Digitalization opens up a vast solution space of new design opportunities for this transformation but also leads to possible tensions between those opportunities. We see...
The concept of circular economy aims to enhance sustainability by decoupling value creation from resource consumption. Despite the increasing interest of research and society in the circular economy, its diffusion among industrial organizations remains insufficient due to the need for systemic changes involving both suppliers and customers. To addr...
The rapid growth of e-mobility has led to an increased demand for charging infrastructure, requiring innovative solutions to optimize and adapt the existing charging infrastructure. The current charging infrastructure faces challenges such as limited availability, insufficient charging capacity, and inflexibility when using renewable energy sources...
Against the backdrop of fundamental ecological, economic, and social challenges systematised by the United Nations, the global society is forced to cope with worldwide crisis conditions, with organizations being assigned a special responsibility in meeting these challenges. Especially industrial organizations are, in many cases, directly affected b...
When cooperating in dynamic business ecosystems, the complementary capabilities of the different actors are relevant. In the context of manufacturing ecosystems, the specifics of the end product, the manufacturing technology and the information technology used are of particular importance. However, existing research focuses predominantly on softwar...
Das Streben nach Nachhaltigkeit trägt dazu bei, dass die Kreislaufwirtschaft zu einem relevanten Thema in der Automobilindustrie wird. Das Potenzial der Kreislaufwirtschaft wird in der Umwandlung linearer in zirkuläre Geschäftsmodelle gesehen. Um den Wissensstand in diesem komplexen Transformationsprozess zu konsolidieren, wurden 18 Herausforderung...
Digital industrial platforms are increasingly implemented as an inter-organizational digital infrastructure to unlock numerous sources of value. Establishing an appropriate pricing strategy is pivotal for platform providers' success. To profit from these value sources, existing research considers value-based pricing as a superior and customer-orien...
Organizations must gain insights into often fragmented and isolated data assets and overcome data silos to profitably leverage data as a strategic resource. Data catalogs are an increasingly popular approach to achieving these objectives. Despite the perceived importance of data catalogs in practice, relatively little research exists on how to desi...
Firms increasingly establish digital industrial platforms to cope with the adaption of the industrial internet of things (IIoT) paradigm. The tremendous success of digital platforms in many platform-mediated industries can be traced back to the ignition of network externalities. However, the impact of network externalities is still under discussion...
Virtual reality has emerged as an influential technology in the educational landscape, offering learners and teachers immersive and interactive experiences that enhance traditional teaching methods. However, despite the increasing importance of virtual reality in education, a systematic description and classification of virtual reality use cases in...
Many industrial firms know that inter-firm data sharing holds tremen-dous potential for the creation of new economic value. However, most of them are not yet willing to share data multilaterally for joint value creation. Consequently, they do not participate in so-called data ecosystems. In our study, we address this issue from a socio-technical pe...
The International Conference on Software Product Management bridges the gap between research and practice to address software product management in the age of data-driven products, services, and ecosystems. For the first time, the international conference is hosted by the Software Product Management (WI-PrdM) expert group within the Management of A...
Pricing is a significant component in determining digital platforms’ strategic and financial position. Informed decisions concerning how to price digital industrial platforms require an integrated and holistic view that organizes heterogeneous pricing options. Given the complexity of pricing, we build a taxonomy based on a systematic literature rev...
Digital platforms are established in business ecosystems with primarily non-tangible value creation (e.g., social networks, entertainment, software). All partners of a platform usually benefit from network effects. The digitization of physical products and processes drives industrial platformization, so manufacturing companies increasingly establis...
Even though the potential of sharing data across firms’ boundaries is clear, most industrial data remains siloed. Scholars and industrial leaders propose a decentralized approach, which guarantees data sovereignty and promises to enable industrial firms to collaborate for latent data value, to skim this potential. Such data ecosystems are, however,...
Purpose: This study aims to determine the current state of research on partner management in the context of IIoT platforms that rely on partnerships to act as innovation engines.
Design/Method/Approach (only for empirical papers): The applied research method is a systematic literature analysis supported by a concept-centric synthesis. The sample o...
The booming adoption of Artificial Intelligence (AI) likewise poses benefits and challenges. In this paper, we particularly focus on the bright side of AI and its promising potential to face our society’s grand challenges. Given this potential, different studies have already conducted valuable work by conceptualizing specific facets of AI and susta...
Context: Companies that operate in the software-intensive business are confronted with high market dynamics, rapidly evolving technologies as well as fast-changing customer behavior. Traditional product roadmapping practices, such as fixed-time-based charts including detailed planned features, products, or services typically fail in such environmen...
There is a growing consensus in research and practice that value-creating networks and ecosystems are supplementing the traditional distinction between the internal firm and market perspectives. To achieve joint value in ecosystems, it is crucial to align the various interests of independently acting ecosystem actors and create a common vision. In...
Providing a digital infrastructure, platform technologies foster interfirm collaboration between loosely coupled companies, enabling the formation of ecosystems and building the organizational structure for value co-creation. Despite the known potential, the development of platform ecosystems creates new sources of complexity and uncertainty due to...
Zusammenfassung
IIoT-Ökosysteme ermöglichen unter anderem Unternehmen aus der produzierenden Industrie ihren Kunden ein Wertangebot zu schaffen, das ohne die Zusammenarbeit mit Partnern und Wettbewerbern nicht realisierbar wäre. Besonders im Business-to-Business (B2B) Markt ist die Zusammenarbeit im Rahmen von IIoT-Ökosystemen bislang noch unzureic...
Additive Manufacturing (AM) promises to redefine production by enabling unforeseen product designs, new degrees of customization, or transformative approaches to spare parts management. However, the radical degree of innovation of AM also incurs unprecedented changes to production planning and control with a plethora of new technical and managerial...
Despite the increasing managerial awareness for ecosystems to organize complex value propositions, little is known about how different roles can establish their business models (BM) in ecosystems. AM drives innovations in the product design and manufacturing fields predominantly across companies, indicating the eco-systemic organization of value cr...
App stores represent an already established concept for distributing software-intensive solutions that complementary extend the value of digital platforms. In the context of industrial digital platforms in the IIoT domain, the benefits of app stores are not yet fully understood or shared by the majority of platform users. This article contributes t...
Die Wettbewerbsänderungen der Maschinenbaubranche im Zuge der Plattformisierung ergeben für die Erforschung des Managements der Wertschöpfungspartner in IIoT-Plattformökosystemen eine hohe Praxisrelevanz. Aus der Perspektive des Maschinenbaus erfüllen die aktuell auf dem Markt angebotenen IIoT-Plattformen häufig nicht die Erwartungen. Aus Sicht der...
Aktuelle Megatrends erzeugen als externe Wandlungstreiber signifikante Veränderungen in der industriellen Produktion und ihrer Organisation. Mit dem Fokus auf die Prozessindustrien und den Maschinenbau sind primär die Megatrends Globalisierung und Digitalisierung für tief greifende Veränderungen der Wettbewerbsbedingungen verantwortlich, die die En...
Das Management der Wertschöpfungspartner ist angesichts der Komplexität der E2E-Lösungen im IIoT eine erfolgskritische Aufgabe für Plattformanbieter, um Mehrwert mittels externer Innovation zu kreieren und Netzwerkeffekte zu erzeugen. Dabei bleibt die Gestaltung der Partizipationsarchitektur eine große Herausforderung, da sie in der IIoT-Domäne äuß...
Beim Stand der Forschung zu Plattformökosystemen fällt ein Mangel an Veröffentlichungen mit dem domänenspezifischen Kontext des Maschinenbaus auf. Deshalb wird zur weiteren Erforschung der BR bei IIoT-Plattformen zunächst eine Beurteilung der bestehenden Herausforderungen der Maschinenbaubranche bei der Nutzung von IIoT-Plattformen vorgenommen. Die...
Zur systematischen Suche nach einem passenden Ansatz zum Management der Wertschöpfungspartner, wurde zuerst eine bibliometrische Analyse der existierenden Plattformforschung zum Management digitaler Plattformökosysteme durchgeführt und mit einer systematischen Inhaltsanalyse zu einem Mixed-Methods-Ansatz kombiniert. Gemäß dem Forschungsziel dieser...
Ziel des siebten Kapitels ist die Präsentation der Hauptergebnisse, die anhand der Erkenntnisse der durchgeführten Studien zu BR am Beispiel des MindSphere-Ökosystems (Kapitel 5 und Kapitel 6) extrahiert wurden. Sie umfassen das Gestaltungsmodell für IIoT-Plattformanbieter sowie die aus dem Modell ableitbaren Gestaltungsempfehlungen. Abbildung 7.1...
In diesem Abschnitt soll der Istzustand zum Einsatz von BR bei IIoT-Plattformen dargestellt werden. Wie in Abschnitt 3.3 erläutert, konnten anhand der Plattformökosysteme in B2C-Domänen die Kontrolle über die komplementäre Entwicklung und die Befähigung der komplementären Wertschöpfungspartner als initial identifizierte Motivatoren hinter der Berei...
Zur Überprüfung der Robustheit der festgelegten Grenzwerte bei der Kano-Klassifikation wurde eine Sensibilitätsanalyse durchgeführt. Sie zeigt wie sich die Kano-Klassifikation der BR verändert (Output), wenn die Grenzwerte der Klassen umdefiniert werden. Dies ist aufgrund der fehlenden harten Grenzwerte und Definitionen für notwendige Verhältnisse...
Ziel des Abschnitts ist die Dokumentation der empirischen Studie zur Messung der Zufriedenheit unter komplementären Wertschöpfungspartnern des MindSphere-Ökosystems. Die Studie stützt sich auf die Annahme, dass aufgrund ihrer befähigenden Wirkung zur Nutzung der IIoT-Plattformfunktionalitäten BR von Komplementoren evaluiert werden. Dabei hat die Qu...
In diesem Abschnitt wird ein Vorverständnis zu digitalen Plattformen im industriellen Kontext geschaffen. Zuerst wird das IIoT-Paradigma im Kontext intelligenter Werkzeugmaschinen eingeführt. Mit der Einordnung digitaler Plattformen in eine IIoT-Referenzarchitektur werden Plattformfunktionen für intelligente Werkzeugmaschinen vorgestellt.
Business economics research on digital platforms often overlooks existing knowledge from other fields of research leading to conceptual ambiguity and inconsistent findings. To reduce these restrictions and foster the utilization of the extensive body of literature, we apply a mixed methods design to summarize the key findings of scientific platform...
Fostering the provision of digital services, innovation platforms reorganize the value creation, enabling complementary partners to innovate through the utilization of the offered boundary resources (BR). However, the use of BR for ecosystem management can become a challenging task for the platform provider. For example, due to the large number of...
Formulating design principles is the primary mechanism to codify design knowledge which elevates its meaning to a general level and applicability. Although we can observe a great variety of abstraction levels in available design principles, spanning from more situated to more generic levels, there is only limited knowledge about the corresponding (...
Understanding the role of Artificial Intelligence (AI) is crucial to contribute to sustainable development including the most fundamental challenges of our society, such as climate change, healthy lives, and inclusive economic growth. As Information Systems (IS) research has a great tradition of investigating how technology and methods can be emplo...
To create customer value, IoT platform providers require complementors to utilize boundary resources (BR) to create platform-based innovations. Although BRs are an important determinant in the success formula of digital platforms, the exploration of the satisfaction potential of BR used by IoT platforms is still in its infancy. In this paper, we pr...
The internet of things (IoT) and digital platforms have offered industrial companies new opportunities to compete against digital platform-native companies. To succeed in this competition, industry incumbents must learn to extend their traditional product and service business through platforms. However, extant research has focused primarily on the...
The market for the Industrial Internet of Things (IIoT) platforms remains highly dynamic and is rapidly evolving regarding the growth of the platform-based ecosystems. However, digital platforms, used in the industrial business-to-business setting, differ significantly from the established platforms in the business-to-consumer domains and remain li...
Solving the chicken-or-egg problem and leveraging value contributing actors on the platform is crucial to establish dynamic platform-based ecosystems. A digital platform provider is challenged to manage multilateral platform architecture and governance mechanisms to establish an attractive platform-based ecosystem to foster third-party complementor...
Das industrielle Internet der Dinge (IIoT) integriert Informations- und Kommunikationstechnologien in industrielle Prozesse und erweitert sie durch Echtzeit-Datenanalyse. Hierbei sind sensorbasierte Zeitreihen ein wesentlicher Typ von Daten, die in der industriellen Fertigung generiert werden. Sensorbasierte Zeitreihendaten werden in regelmäßigen A...
Das industrielle Internet der Dinge (IIoT) integriert Informations- und Kommunikationstechnologien in industrielle Prozesse und erweitert sie durch Echtzeit-Datenanalyse. Hierbei sind sensorbasierte Zeitreihen ein wesentlicher Typ von Daten, die in der industriellen Fertigung generiert werden. Sensorbasierte Zeitreihendaten werden in regelmäßigen A...
https://books.google.de/books/about/Wertsch%C3%B6pfungsnetzwerke_mit_digitalisie.html?id=h7YmEAAAQBAJ&redir_esc=y
Dem Trend der Digitalisierung folgend, streben immer mehr industrielle Unternehmen danach, komplexe Kundenprobleme zu lösen, indem sie digitale Services anbieten. Um einen Mehrwert zu generieren, sind jedoch entsprechende digitale Infrastrukturen notwendig. Es werden offene digitale Plattformen für das industrielle Internet der Dinge (IIoT) mit den...
Business economics research on digital platforms often overlooks existing knowledge from other fields of research which leads to conceptual ambiguity and inconsistent findings. To reduce these restrictions and foster the utilization of the extensive body of literature, we apply a mixed methods design to summarize the key findings of scientific plat...
The market for the Industrial Internet of Things (IIoT) platforms remains highly dynamic and is rapidly evolving regarding the growth of the platform-based ecosystems. However, digital platforms, used in the industrial business-to-business setting, differ significantly from the established platforms in the business-to-consumer domains and remain li...
Platform providers can use Boundary Resources (BR) to enable complementors to utilize the platform to create value, simultaneously controlling the complementary output. Despite their significance, not much is currently known about the quality of BRs and their impact on the complementor satisfaction. This paper presents the results of the complement...
Even the rather traditional consulting industry is not spared from digitization. Digital platforms are known to foster convergence and generativity. For the consulting industry, digital platforms offer the potential to win new customer groups who have not previously purchased consulting services before. If digital platforms for the mediation of con...
Emerging Industrial Internet of Things (IIoT) platforms generate added value and enable the provision of digital services. The market for industrial components also demands services such as condition visualization and process monitoring in order to reduce downtimes and maintenance costs. Based on the example of connected vacuum gripping systems, we...
Digital platforms enable the mechanical engineering industry to address the challenges of global competition, supporting the provision of digital value-added services. These currently emerging Industrial Internet of Things (IIoT) platforms form ecosystems, integrating complementary stakeholders, and fostering the cooperation among them. The absence...
Fostering partnerships and generativity, the Industrial Internet of Things (IIoT) platforms change the way of value creation, enabling platform-based ecosystems. Platform Boundary Resources (BR) provide a recognized concept to foster third-party innovation, enabling various hardware-and software developing companies to use the functionalities of th...
Das industrielle Internet der Dinge (iIoT) integriert Informations- und Kommunikationstechnologien in die industriellen Prozesse und erweitert sie durch Echtzeit-Datenanalyse. Eine bedeutende Menge an Daten, die in der industriellen Fertigung generiert werden, sind sensorbasierte Zeitreihendaten, die in regelmäßigen Abständen generiert werden und z...
Das industrielle Internet der Dinge (iIoT) integriert Informations- und Kommunikationstechnologien in die industriellen Prozesse und erweitert sie durch Echtzeit-Datenanalyse. Eine bedeutende Menge an Daten, die in der industriellen Fertigung generiert werden, sind sensorbasierte Zeitreihendaten, die in regelmäßigen Abständen generiert werden und z...
Currently emerging Industrial Internet of Things (iIoT) platforms form open and flexible networks with the aim of facilitating the integration of various stakeholders in the generation of platform-based added value. The ecosystem emergence process is still underresearched and remains a challenge for the platform providers. In this short paper, we a...
Emerging Industrial Internet of Things (iIoT) platforms generate cross-company added value, providing functionalities and technologies for a variety of digital services in the industrial engineering. iIoT platforms integrate various stakeholders, such as end customers and complementors and build iIoT ecosystems. Earlier research has recognized boun...
Through providing digital services, machine tool manufacturing companies can address the customer demands for individual solutions and the increasing cost pressure. Applications are one way to provide these digital services, running on smart machine tools connected to software systems, known as industrial Internet of Things (iIoT) platforms. Despit...
Um die aktuellen Herausforderungen des globalen Wettbewerbs zu adressieren, gewinnen Plattformansätze im Maschinenbau zunehmend an Bedeutung und gelten als eine Lösung zur Erbringung wertschöpfender digitaler Services. Dabei finden offene Softwareplattformen zunehmend Verbreitung, die auch als industrielle Internet of Things (iIoT)-Plattformen beka...
The global competition requires the machine tool industry to provide more flexibility and productivity to its manufacturing customers, enabled through software-intensive services. A platform approach receives an increasing attention within the machine tool industry, offering a solution to provide such services. Software platforms, adapted to the ne...
Cost pressure, demand for individual solutions and increasing importance of software challenge manufacturing companies. Platforms are a solution to extend the value of products through modular digital services by transforming them into smart connected products. This contribution presents a recommendation framework for software ecosystems design, wh...
A methodical approach based on ISO 16355:1-2015 to develop a data based business model for connected vacuum gripping systems
abilex GmbH ist ein KMU, welches neben anderen Dienstleistungen " Implementierung und Softwaretest as a Service " anbietet. Einen großen Teil der Beauftragungen bilden Tests spezifischer produktdatenintensiver Point-of-Sale Software im Enterprise Bereich. Diesen Service fasst abilex als " Versionserstellung " zusammen, wobei die Aufbereitung jeder...
Questions
Questions (10)
Dear research community,
i am looking for methodological papers (or a scientific approach) or best practice paper that utilize the same methodology. Due to page limitations we are not able to conduct a literature review. However, our intent is to rely on well-known journal only papers in our discipline and analyze them for a specific aspect, thus conducting only a backward search based on these papers to create a body of literature. By doing so, we want to reach a sufficient rigour without conducting and documenting a completely new literature review.
I am not sure if a metastudy is something like what we want to do but a metastudy is rather abour a quantitative analysis of the literature.
If our approach is realistic and applicable i would be happy for every suggestion how to do it. Any methodological paper on such an approach or any best practice paper would help.
Thank you a lot in advance.
BR
Dimitri
Dear scientific community,
i am currently trying to make more sense of the voluntary disclosure theory and the associated models. As far as i understood, the theory relies on the principal agent theory and incorporates the benefits for a company to reveal and provide more information then required by the lawmakers and other authorities. My questions are:
- Can the additional corporate reports and blog posts on sales, strategic partnerships or other aspects of the enterprise evolvement be assigned to this theory? Or is this theory strictly for accounting/ market popolicymaking?
- Is there any good literature review or paper describing the state of research on this theory?
- Is there any known paper transferring this theory into the setting of any kind of ecosystems such as platform ecosystems?
- Is there any research call to instantiate this theory for specific entrepreneurial phenomena?
I would be thankful for any advice.
Thank you a lot in advance.
Best Regards
Dimitri Petrik
Dear community,
this question is rather addressing software engineers and requirements engineers. I am stuck in the following situation. There are overall approx. 120 requirements, spread upon 15 modules/items. The requirements list contains both, functional and non-functional requirements.
I would like to conduct some workshops with product managers and software engineers and let them rate and prioritizes this list of requirements.
I am aware, that there are lots of techniques to prioritize requirements, such as MoSCoW, AHP, simple Likert-based ratings and rankings, numerical assignments. Does someone have any recommendations (practical recommendations or literature suggestions) which method suits them best, considering the following constraints:
- Suitable for a workshop with developers (not with the customers)
- A large number of requirements (in sum approx. 120)
- Limited amount of time (approx. 1-2 h)
- Overall, it should be doable and understandable for the workshop participants 😊
Since the amount of requirements per block/item varies (more then 10 for some items as well as less than 10 for some items) i think a simple Top-Ten Method (see Aurum 2005) will miss the scope.
I would be very thankful for any suggestions!
Best Regards
Dimitri
Dear community,
i conducted a SERVIMPERF customer satisfaction study and retrieved 21 customer ratings for perceived importance and satisfaction with 15 items.
In order to prioritize the items for improvement, various books advise to build a quotient out of these two values, dividing the importance values by the satisfaction values for each item (KPI=Weight/Satisfaction). By doing so the items with the highest weight and lowest satisfaction will have high rankings for future improvements.
Considering the stated satisfaction it is logical to use the mean or average value for satisfaction (for x surveyed customers).
My question is about the importance values. Should i use for the calculation of the KPI:
- average importance for x surveyed customers
- relative importance (as used in the conjoint analysis) for the impact of each item?
On the one hand conjoint analysis uses relative values for importance. On the other hand i am not sure if it is statistically wrong to divide relative values by average values and can be claimed as "bad math"?
If i compare the outcomes of the two calculations, they also result in different rankings.
I appreciate any help on this statistical issue.
Thank you a lot in advance.
Best Regards
Dimitri
Dear Community,
i have a question regarding the import of data into CiteSpace, which is not the standard case, described in the tutorials.
After the cluter recognition (approx. a dozen) I would like to conduct a data import and a cluster analysis, from the body of literature from two specific clusters.
What would be the best way to do so? Does anyone have any suggestions how to “tailor” a specific text-file, which contains only literature from two specific clusters?
I thought about a manual copy&paste process, merging the import text files into one and extracting not required papers. Or is there any option in the CiteSpace Software to achieve this goal? I guess the filter settings of the Web of Science are not sophisticated enough to build a filter and include 100 specific papers, isn’t it?
I would be very thankful for every advice.
Best Regards
Dimitri Petrik
Dear research community,
my current paper is partly based upon the same dataset which was previoulsy published in a distinctive paper. However, the results of this previously published paper are important to complete the current one, so the paper is a contination work. Thus, the challenge is to embed the results and the data collection process from the past paper, finding the right "balance" where and how to explain the relation between the current paper and the earlier research.
Could someone kindly provide a similar paper from any research direction which shows how to embed previously published results in a delicate and compact way? Any there any hard rules about it or any best practices?
Thank you a lot in advance.
Kind Regards
Dimitri
Dear scientific community,
i am currently starting to thinkg about a satisfaction survey with some software developers. In fact i would like to evaluate the "developer experience" during their use of some commercial tool. For this purpose i would like to try the "Critical Incident Technique" (CIT)defined by Flanagan (1954).
Flanagan recognizes interviews, survey or document analysis as data collection methods for CIT. My data collection choice would be a standardized survey. Maybe some of you guys know a paper, which contains an examplary questionnaire or a sheet used with CIT?
Thank you a lot in advance for any suggestion.
Kind Regards
Dear scientific community,
i am thinking about to start a survey, which is based on the Analytical Hierarchy Process (https://de.wikipedia.org/wiki/Analytic_Hierarchy_Process). This approach requires the survey software to support some complex logic (matrix question type with predefined values; formulas for inverse numbers for the bottom left part of the matrix; consistency check in the background).
To avoid the javascript coding efforts i thought about a workaround, replacing the webbased survey/questonaire tools with the simple Excel File Attachmenent. The target audience are experts anyway, so the survey is not for anyone.
Did someone have practical experience with survey realized throught Excel and Mail? I am worried about Firewalls blocking the Attachment and the User Experience (scrollable excel instead of web forms).
I would be glad about any experience, whether the Excel-based approach was successful for survey approaches or not.
Thank you a lot in advance.
Kind Regards
Dimitri
Dear community,
does anyone have any suggestion which approach or method could be used during scientific writing, if one has a variety of qualitative concepts and needs to reduce the amount of concepts, by clustering related concepts?
In other words if for instance we have 20 concepts and it is recommended to sum up related concepts in groups - is there any good book or scientific work on this approach?
Thank you a lot for any suggestion and the extension of the toolbox :-)
Dear community,
does anybody have experience with any online tools or services to conduct AHP-based surveys? That means the question design should be some kind of matrix and additionally allow the functionalities to define numbers to weight factors and have a functionality of a pairwise comparison (for instance 9 -> 1/9; 3 -> 1/3)?
Until now i have only read one paper, which suggested Limesurvey for this kind of surveys. Maybe someone could share an experience with this or similar tools?
Thank you a lot in advance.
Kind Regards
Dimitri Petrik
