Wirtschaftswissenschaften Blog - Kategorie iTIME
Call for Papers "Managing Smart Services and Smart Service Systems" for a Special Issue in the SMR Journal of Service Management Research
Nicola Bilstein, Professor of Management of Smart Products
Christian Stummer, Professor of Innovation and Technology Management
Submission Deadline: October 15th, 2021
We welcome empirical and analytical papers using a variety of methods to addressing meaningful research questions in this context. We also invite conceptual papers offering a strong theoretical contribution to the management of smart services and smart service systems.
Topics of interest to the Special Issue might stem from various fields such as those exemplarily listed in the following:
- Service Management (e.g., developing smart transformative services, value co-creation within smart service systems, understanding value creation with smart services in various fields of application such as smart home, smart health, smart mobility)
- Strategic Management (e.g., new business model, importance of data, open or closed system)
- Marketing (e.g., designing proper offers of smart services and smart service systems, communicating them to customers, branding, distribution channels)
- Innovation and Technology Management (e.g., user innovation/co-creation in developing smart services, drivers and barriers to smart service adoption and diffusion)
- Entrepreneurship (e.g., creating sustainable business models for smart services, collaboration with startups in developing smart services)
- Business Information Systems Engineering (e.g., establishing smart service platforms)
- Human Resource Management (e.g., smart services in the working context, new skills required)
- Organization (e.g., usage of smart services on various organizational levels down to the team level)
- Logistics and Supply Chain Management (e.g., smart services for continuous tracking of products w.r.t. location, current condition, environment)
- Production (e.g., predictive analytics enabling service innovation in manufacturing, industry 4.0)
- Sustainability (e.g., smart services as a means to foster sustainability)
Folgender Gastvortrag am Do., 14.1.2021, 14 Uhr, ist (auch) Teil der iTIME-Vortragsreihe:
Titel des Vortrags: Bayesian Decision Making
There are often high expectations on the business impact that data science can produce. Unfortunately, various barriers often hinder the full realization of that impact, starting with communication challenges between different parts of the organization with different backgrounds. To bridge this chasm, data scientists and stake-holders should agree on a business relevant loss function to optimize. This way, any improvements in the model can directly be measured in their impact on the bottom line.
In this talk, I will show how probabilistic programming frameworks like PyMC3 can be used to solve an applied problems with an example from capital allocation. This approach allows us to accurately and flexibly map a real-world problem to a statistical model that can be quickly iterated and improved on. I will then show how the results of such a model, which are usually arcane and non-actionable posterior probability distributions, can be coupled with a loss function based on business mechanics, to (i) derive business related outcome measures, and (ii) suggest the optimal decision to make, rather than inform it.
Thomas Wiecki is the Chief Executive Officer at PyMC Labs. Prior to that Thomas was the lead data science researcher at Quantopian, where he used probabilistic programming and machine learning to help build the world's first crowdsourced hedge fund. Among other open source projects, he is involved in the development of PyMC—a probabilistic programming framework written in Python. A recognized international speaker, Thomas has given talks at various conferences across the US, Europe, and Asia. He holds a PhD in Computational Cognitive Neuroscience from Brown University.
Titel des Forschungsvorhabens:
The innovation effect of cooperating with a startup: Exploring consumers' innovation perception of incumbent firms
Forschergruppe: Prof. Nicola Bilstein, Melina Schleef, Prof. Christian Stummer
Title: The person brand effect and the role of product innovation: Consumers' stereotypes influence evaluations of persons and their products
Abstract: A series of field and laboratory experiments found that consumers' stereotypes influence perceptions of a person who creates a product (i.e., a person brand) as well as post-trial evaluations of the product. Consistent with schema congruity theory, consumers evaluated a product created by a person who was counter stereotypical on one dimension (e.g., gender but not ethnicity) more positively than the stereotypical creator's product. Consumers' cognitive resources during trial are a boundary condition on improved evaluations of a unidimensional deviate’s product. In contrast, consumers evaluated a product created by a person who was counter stereotypical on two dimensions (e.g., gender and ethnicity) most negatively. Product innovation moderated these effects such that an innovative product created by a bidimensional deviate was evaluated similar to that of the stereotypical creator's product. These findings have implications for branding, product innovation, schema congruity theory and stereotyping.
Das Video zur diesjährigen Konferenz CHIMSPAS ("Challenges in Managing Smart Products and Services") ist nun verfügbar. Erhalten Sie hier Eindrücke in die erste Konferenz, die sich explizit mit dem Management intelligenter Produkte und Dienstleistungen befasst. Die Konferenz wurde vom iTIME und dort von Prof. Dr. Christian Stummer und J.-Prof. Dr. Nicola Bilstein organisiert.
Title: Integration of Machine Learning and Optimization for Supply Chain Optimization
Abstract: We are trying to develop the AI techniques that can be explained by an automatic synthesis of decision-making models through the integration of machine learning and optimization. By constructing a feedback loop of machine learning and optimization, a closed-loop data-driven system that can improve the machine learning accuracy and significantly reduce the computational time required for optimization through machine learning methods even in a shortage of teaching data. From the viewpoint, our recent topics on dynamic multi-commodity network design problem, virtualization of supply chains, mass customization of product design and supply chain planning, inverse optimization for scheduling problems, imitative learning will be discussed.
Speaker: Prof. Dr. Frederik Schulte (TU Delft)
Time: 16:00 - 17:00
Room: FaKo Raum (U3-140)
Title: Platform Operations Research: Foundations and the Cases of Coup Scooter Sharing and Quicargo Collaborative Trucking
Abstract: Over the last decade, platforms have emerged in numerous industries and often transformed them, which poses new challenges for operations research. Platform providers mostly do not have immediate control over the physical resources to move people or goods. They often operate in a multi-sided market setting where it is crucial to design clear incentives to motivate a third-party to engage in an adhoc kind of collaboration. As a consequence, collaboration incentives become an integral part of decision support models for platform providers, and they need to be developed on an operational planning level to be applied in a dynamic way. Naturally, this involves a trade-off between the interests of platform provider, customers, and various transportation service providers. In this work, we investigate the real-word case of Coup scooter sharing and propose a dynamic pricing approach that engages users in fleet management operations such as charging and repositioning of vehicles. First results indicate that this approach effectively increases vehicle utilization and revenues. As a second real-world case, we look at the platform provider, Quicargo, who operates as an intermediary between shippers and carriers in a less-than-truckload (LTL) business. We introduce a planning model that minimizes the price this platform pays to its carriers and enforces collaboration incentives for carriers. We explore possible policies to be implemented by the platform and find that their business even remains profitable when the platform guarantees increased profit margins to their carriers as incentives.
Am Donnerstag und Freitag (22./23. August 2019) findet erstmalig die internationale Konferenz zum Thema Challenges in Managing Smart Products and Services (CHIMSPAS) statt. Organisiert wird die Konferenz vom iTIME – Ko-Organisator*innen sind J.-Prof'in Nicola Bilstein und Prof. Christian Stummer.
Ein Interview mit den Organisatoren lesen Sie hier: https://50jahre.uni-bielefeld.de/2019/08/20/wie-smarte-produkte-unternehmen-herausfordern/
Alle Informationen zur Konferenz finden Sie über folgenden Link: chimspas-2019.de
Vortrag zu "Data driven Business Intelligence: From Predictive to Prescriptive Analytics" (Prof. O.P. Vyas, Indian Institute of Information Technology)
Speaker: Prof. O.P. Vyas, Professor, Indian Institute of Information Technology, Allahabad-India
Date: Wednesday 05.06.19 from 16:00 to 17:00
Place: FaKo Raum (U3-140)
Title: Data driven Business Intelligence: From Predictive to Prescriptive Analytics
Business Data analytics has gathered a lot of attention during the last years. Although descriptive and predictive analytics have become well-established areas, prescriptive analytics has just started to emerge with a different paradigm. Prescriptive analytics aims to prescribe decisions on the basis of the predictive analytics outcomes and involves an interdisciplinary approach with advances from Optimization and Decision Sciences.
Referred to as the "final frontier of analytic capabilities," prescriptive analytics suggests decision options to take advantage of the results of descriptive and predictive analytics. Prescriptive Analytic approaches propose to help businesses make better decisions by factoring in knowledge of possible situations, available resources, past performances and current happening as well.
The Prescriptive Analytics assumes special significance as the huge amount of Businesses moving from traditional "brick and mortar" shops to Online Enterprises warranting to have recommendations in rather more prescriptive ways. The proposed talk aims at exploring the opportunity and challenges involved, owing to introduction of "optimization" in "Business Analytics" arena with the novel paradigm of Prescriptive Analytics.
An der Fakultät für Wirtschaftswissenschaften wird am 22.+23. August die International Conference on Challenges in Managing Smart Products and Services (CHIMSPAS) stattfinden. Ausführliche Informationen bietet die Konferenz-Website. Wir bieten bis zu zehn Studierenden die Möglichkeit zur kostenlosen Teilnahme an der Konferenz. Informationen zur Bewerbung um einen dieser Plätze finden Sie hier.
Der Vortrag von Prof. Dr. Gunnar Flötteröd findet am 3.5.2019 um 14 Uhr c.t. in Raum W9-109 statt.
Keynote speaker Dr. Ingo Kaiser (Miele) will talk about "Challenges in digitalizing established products – practical experiences and lessons learnt at Miele" at the International Conference on Challenges in Managing Smart Products and Services (CHIMSPAS) taking place at Bielefeld University on August 22-23 2019.
Am Institut für Technologische Innovation, Marktentwicklung und Entrepreneurship ist aktuell eine Stelle als Studentische bzw. Wissenschaftliche Hilfskraft (SHK/WHF) ausgeschrieben. Alle Informationen zur Ausschreibung finden Sie im Aushang.
Call for Papers for a Special Issue on "Modeling and Simulation of Complex Systems" in Annals of Operations Research
Submission Deadline: January 7th, 2019
Complex systems are a common phenomenon in real-world decision making. The behavior of such a complex system stems from numerous relationships and various interactions between diverse entities of the system or between a given system and its environment: innovation diffusion on consumer markets may serve as an example. Computer simulations provide an opportunity to alter a modeled system, to observe its emergent behavior, and, thus, to answer what-if questions.
This special issue of the Annals of Operations Research aims at discussing recent advances in modeling and simulation of complex systems. Methods to be applied include agent-based simulation, multi-agent systems, simulation-optimization approaches, etc. Potential topics to consider (but not limited to) are:
(*) diffusion processes in markets, societies, or ecosystems
(*) applications in various areas including, for example, smart products, smart production systems, or autonomous production
(*) impact of peculiarities of some complex system, e.g., word of mouth or social influence
(*) parametrization and validation issues
We hope the special issue will document the state-of-the-art in modeling and simulation of complex systems and provide a framework for future research that moves the field forward by better solving relevant problems with more realistic assumptions, and by leveraging the best research in related disciplines. Researchers from all disciplines are invited to consider this special issue as an outlet to publish their high quality work on the above or related topics.
Instructions for authors can be found at:
Authors should submit their manuscripts via the Journal’s online submission site (http://www.editorialmanager.com/anor/), choosing “S.I.: Simulating Complex Systems” as the article type. All papers submitted to the special issue will be peer reviewed in accordance with the standard procedures of the Annals of Operations Research journal.
Submitted papers should not have been previously published or be currently under consideration for publication elsewhere. Papers must contain original research results that are significant relative to the relevant literature.
The use of real-world data is valued. Still, submitted papers must highlight their (algorithmic) contribution to the state of the art in this field of operations research and they should discuss some simulation experiments (i.e., numerical illustrations (examples) may not be sufficient).
(*) Submission Start Date: July 1st, 2018
(*) Paper Submission Due: January 7th, 2019
Department of Business Administration and Economics
Universitaetsstr. 25, 33615 Bielefeld, GERMANY
Department for Informatics
Universität der Bundeswehr, Munich
Werner-Heisenberg-Weg 39, 85577 Neubiberg, GERMANY
Karl F. Doerner
Department of Business Administration
University of Vienna
Oskar-Morgenstern-Platz 1, 1090 Vienna, AUSTRIA
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