Martin Matzner
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View article: Dynamic and Ordinary Capabilities for Ecosystem Orchestrator—A Perspective on the Supply Ecosystem
Dynamic and Ordinary Capabilities for Ecosystem Orchestrator—A Perspective on the Supply Ecosystem Open
The world's economic systems are based on global supply chains that have evolved into densely interconnected and complex networks, challenging existing approaches to supply chain management. Supply ecosystems offer a new theoretical perspe…
View article: Mit Fahrzeugdaten zum datengetriebenen Geschäftsmodell: Ein Reifegradmodell für die Automobilindustrie
Mit Fahrzeugdaten zum datengetriebenen Geschäftsmodell: Ein Reifegradmodell für die Automobilindustrie Open
Zusammenfassung Europäische Automobilhersteller statten ihre Fahrzeuge mit einer Vielzahl an Sensoren aus und verfügen deshalb über große Datenmengen. Allerdings haben viele Unternehmen der Branche Schwierigkeiten bei der wirtschaftlichen …
View article: Inhibitors and Enablers of Leverage in Digital Industrial Platform Ecosystems
Inhibitors and Enablers of Leverage in Digital Industrial Platform Ecosystems Open
Digital platforms have demonstrated their disruptive power across various domains, and an increasing number of manufacturing firms have embarked on establishing digital industrial platforms for emerging technologies like the Industrial Int…
View article: A methodology for adaptive AI-based causal control: Toward an autonomous factory in solder paste printing
A methodology for adaptive AI-based causal control: Toward an autonomous factory in solder paste printing Open
View article: A technology-specific process mining maturity grid for manufacturing and logistics
A technology-specific process mining maturity grid for manufacturing and logistics Open
View article: Governing the emergence of network-driven platform ecosystems
Governing the emergence of network-driven platform ecosystems Open
View article: Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values Open
Predictive process monitoring (PPM) methods provide users with real-time predictions about ongoing process instances. Machine learning models used for such tasks do not account for data variability, such as the occurrence of previously uns…
View article: Recent Advances in Data-Driven Business Process Management
Recent Advances in Data-Driven Business Process Management Open
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since bus…
View article: Machine learning in business process management: A systematic literature review
Machine learning in business process management: A systematic literature review Open
Machine learning (ML) provides algorithms to create computer programs based on data without explicitly programming them. In business process management (BPM), ML applications are used to analyse and improve processes efficiently. Three fre…
View article: Machine learning in business process management: A systematic literature review
Machine learning in business process management: A systematic literature review Open
Machine learning (ML) provides algorithms to create computer programs based on data without explicitly programming them. In business process management (BPM), ML applications are used to analyse and improve processes efficiently. Three fre…
View article: A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis Open
View article: A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis Open
Proactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient's complete health history to make informed decisi…
View article: Theory-based Analyses of Interorganisational Standards for Self-organising, Adaptive Value Creation Networks
Theory-based Analyses of Interorganisational Standards for Self-organising, Adaptive Value Creation Networks Open
Today many enterprises find themselves in situations of forming new or integrating into existing value creation networks to strengthen their market position and to provide new innovative customer solutions to its customers. Due to their hi…
View article: How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories
How Risky is my AI System? A Method for Transparent Classification of AI System Descriptions by Regulated AI Risk Categories Open
View article: City 5.0: Citizen involvement in the design of future cities
City 5.0: Citizen involvement in the design of future cities Open
View article: Social Robots in Retail: Emotional Experiences a Critical Driver of Purchase Intention
Social Robots in Retail: Emotional Experiences a Critical Driver of Purchase Intention Open
The purpose of the current study is to explore whether emotional experiences prompted due to human-social robot interaction in retail environments significantly influence consumers' purchase intentions. This present study focuses primarily…
View article: Does Repetition Affect Acceptance? A Social Robot Adoption Model for Technologically-Savvy Users in the Caribbean
Does Repetition Affect Acceptance? A Social Robot Adoption Model for Technologically-Savvy Users in the Caribbean Open
There is little research on use and adoption factors for social robots in the Caribbean. In one pilot study, the Zenbo companion robot was used to evaluate potential social robot use in a Caribbean setting. An informal observation from tha…
View article: Predictive End-to-End Enterprise Process Network Monitoring
Predictive End-to-End Enterprise Process Network Monitoring Open
Ever-growing data availability combined with rapid progress in analytics has laid the foundation for the emergence of business process analytics. Organizations strive to leverage predictive process analytics to obtain insights. However, cu…
View article: Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience Open
With the ongoing trend of servitization nurtured through digital technologies, the analysis of services as a starting point for improvement is gaining more and more importance. Service analytics has been defined as a concept to analyze the…
View article: Capabilities of digital servitization: Evidence from the socio-technical systems theory
Capabilities of digital servitization: Evidence from the socio-technical systems theory Open
Driven by pressures for sustainable development and disruptions such as the COVID-19 pandemic, manufacturing companies in the 21st century are affected by two intertwined trends: Industry 4.0 and servitization. Digital servitization, which…
View article: Quo Vadis Conferences in the Business and Information Systems Engineering (BISE) Community After Covid: What Can Stay, What Should Go, What Do We Need to Change for Our Future Scientific Conferences?
Quo Vadis Conferences in the Business and Information Systems Engineering (BISE) Community After Covid: What Can Stay, What Should Go, What Do We Need to Change for Our Future Scientific Conferences? Open
View article: Quo Vadis Conferences in the Business and Information Systems Engineering (BISE) Community After Covid
Quo Vadis Conferences in the Business and Information Systems Engineering (BISE) Community After Covid Open
View article: A technique for determining relevance scores of process activities using graph-based neural networks
A technique for determining relevance scores of process activities using graph-based neural networks Open
View article: Digital Industrial Platforms
Digital Industrial Platforms Open
View article: From Suppliers to Complementors: Motivational Factors for Joining Industrial Internet of Things Platform Ecosystems
From Suppliers to Complementors: Motivational Factors for Joining Industrial Internet of Things Platform Ecosystems Open
Spurred by the internet of things, industry firms are increasingly establishing platforms that animate an ecosystem of external actors to provide complementary offerings. But why do independent firms decide to join these ecosystems and to …
View article: Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques Open
Predictive business process monitoring (PBPM) provides a set of techniques to perform different prediction tasks in running business processes, such as the next activity, the process outcome, or the remaining time. Nowadays, deep-learning-…
View article: Predictive Business Process Deviation Monitoring
Predictive Business Process Deviation Monitoring Open
Business processes run at the core of an organisation's value creation and are often the target of optimisation efforts. Organisations aim at adhering to their optimised processes. However, deviations from the optimised process still occur…
View article: Transitioning to Platform-based Services and Business Models in a B2B Environment
Transitioning to Platform-based Services and Business Models in a B2B Environment Open
Given the considerable success of companies such as Apple, Amazon or Airbnb, the term platform is on everyone’s lips today. Accordingly, platforms have long since also found their way into service science. However, mastering the transition…
View article: Smart Service Systems in Mexico: Implications of the Socio-Economic Context on the Willingness to Co-Create
Smart Service Systems in Mexico: Implications of the Socio-Economic Context on the Willingness to Co-Create Open
IoT generates an enormous amount of data during their operation, which can be analysed and interpreted to discover useful knowledge and ultimately to support or make decisions. Smart service systems constitute networks of multiple actors t…
View article: Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring Open
Predictive business process monitoring (PBPM) aims to predict future process behavior during ongoing process executions based on event log data. Especially, techniques for the next activity and timestamp prediction can help to improve the …