TY - CONF
AB - Explainability for machine learning gets more and more important in high-stakes decisions like real estate appraisal. While traditional hedonic house pricing models are fed with hard information based on housing attributes, recently also soft information has been incorporated to increase the predictive performance. This soft information can be extracted from image data by complex models like Convolutional Neural Networks (CNNs). However, these are intransparent which excludes their use for high-stakes financial decisions. To overcome this limitation, we examine if a two-stage modeling approach can provide explainability. We combine visual interpretability by Regression Activation Maps (RAM) for the CNN and a linear regression for the overall prediction. Our experiments are based on 62.000 family homes in Philadelphia and the results indicate that the CNN learns aspects related to vegetation and quality aspects of the house from exterior images, improving the predictive accuracy of real estate appraisal by up to 5.4%.
AU - Kucklick, Jan-Peter
ID - 27506
KW - Explainable Artificial Intelligence (XAI)
KW - Regression Activation Maps
KW - Real Estate Appraisal
KW - Convolutional Block Attention Module
KW - Computer Vision
T2 - 55th Annual Hawaii International Conference on System Sciences (HICSS-55)
TI - Visual Interpretability of Image-based Real Estate Appraisal
ER -
TY - CONF
AB - Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.
AU - Heuwinkel, Tim
AU - Kucklick, Jan-Peter
AU - Müller, Oliver
ID - 27507
KW - Real Estate Appraisal
KW - Text Regression
KW - Natural Language Processing (NLP)
KW - Location Intelligence
KW - Wikipedia
T2 - 55th Annual Hawaii International Conference on System Sciences (HICSS-55)
TI - Using Geolocated Text to Quantify Location in Real Estate Appraisal
ER -
TY - THES
AU - Fanasch, Patrizia
ID - 30201
TI - Governance and Reputation in the Market for Experience Goods
ER -
TY - JOUR
AU - Hoyer, Britta
AU - van Straaten, Dirk
ID - 30341
JF - Journal of Behavioral and Experimental Economics
KW - General Social Sciences
KW - Economics and Econometrics
KW - Applied Psychology
SN - 2214-8043
TI - Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis
VL - 98
ER -
TY - GEN
AU - Schulz, Michael
AU - Neuhaus, Uwe
AU - Kaufmann, Jens
AU - Kühnel, Stephan
AU - Alekozai, Emal M.
AU - Rohde, Heiko
AU - Hoseini, Sayed
AU - Theuerkauf, René
AU - Badura, Daniel
AU - Kerzel, Ulrich
AU - Lanquillon, Carsten
AU - Daurer, Stephan
AU - Günther, Maik
AU - Huber, Lukas
AU - Thiée, Lukas-Walter
AU - zur Heiden, Philipp
AU - Passlick, Jens
AU - Dieckmann, Jonas
AU - Schwade, Florian
AU - Seyffarth, Tobias
AU - Badewitz, Wolfgang
AU - Rissler, Raphael
AU - Sackmann, Stefan
AU - Gölzer, Philipp
AU - Welter, Felix
AU - Röth, Jochen
AU - Seidelmann, Julian
AU - Haneke, Uwe
ID - 30737
TI - DASC-PM v1.1 - Ein Vorgehensmodell für Data-Science-Projekte
ER -
TY - JOUR
AU - Hoppe, Julia Amelie
AU - Melkas, Helinä
AU - Pekkarinen, Satu
AU - Tuisku, Outi
AU - Hennala, Lea
AU - Johansson-Pajala, Rose-Marie
AU - Gustafsson, Christine
AU - Thommes, Kirsten
ID - 32266
JF - International Journal of Human–Computer Interaction
KW - Computer Science Applications
KW - Human-Computer Interaction
KW - Human Factors and Ergonomics
SN - 1044-7318
TI - Perception of Society’s Trust in Care Robots by Public Opinion Leaders
ER -
TY - JOUR
AU - Hoppe, Julia Amelie
AU - Melkas, Helinä
AU - Pekkarinen, Satu
AU - Tuisku, Outi
AU - Hennala, Lea
AU - Johansson-Pajala, Rose-Marie
AU - Gustafsson, Christine
AU - Thommes, Kirsten
ID - 32267
JF - International Journal of Human–Computer Interaction
KW - Computer Science Applications
KW - Human-Computer Interaction
KW - Human Factors and Ergonomics
SN - 1044-7318
TI - Perception of Society’s Trust in Care Robots by Public Opinion Leaders
ER -
TY - CHAP
AU - Akkerman, Agnes
AU - Manevska, Katerina
AU - Thommes, Kirsten
AU - Sluiter, Roderick
ID - 32272
SN - 9781003125730
T2 - Employment Relations as Networks
TI - Losing What You Never Had
ER -
TY - JOUR
AU - Poniatowski, Martin
AU - Lüttenberg, Hedda
AU - Beverungen, Daniel
AU - Kundisch, Dennis
ID - 17869
JF - Information Systems and e-Business Management, Special Issue on Platform Business Models and Platform Strategies
TI - Three Layers of Abstraction—A Conceptual Framework for Theorizing digital Multi-Sided Platforms
VL - 2
ER -
TY - CHAP
AU - zur Heiden, Philipp
AU - Priefer, Jennifer
AU - Beverungen, Daniel
ED - Bruhn, Manfred
ED - Hadwich, Karsten
ID - 32363
SN - 2662-3382
T2 - Forum Dienstleistungsmanagement
TI - Smart Service für die prädiktive Instandhaltung zentraler Komponenten des Mittelspannungs-Netzes
ER -
TY - JOUR
AU - Hoffmann, Christin
AU - Thommes, Kirsten
ID - 34044
JF - Journal of Cleaner Production
KW - Industrial and Manufacturing Engineering
KW - Strategy and Management
KW - General Environmental Science
KW - Renewable Energy
KW - Sustainability and the Environment
KW - Building and Construction
SN - 0959-6526
TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic
ER -
TY - JOUR
AU - Hoffmann, Christin
AU - Thommes, Kirsten
ID - 34045
JF - Journal of Cleaner Production
KW - Industrial and Manufacturing Engineering
KW - Strategy and Management
KW - General Environmental Science
KW - Renewable Energy
KW - Sustainability and the Environment
KW - Building and Construction
SN - 0959-6526
TI - Clear Roads and Dirty Air? Indirect effects of reduced private traffic congestion on emissions from heavy traffic
ER -
TY - JOUR
AB - This study investigates the conditions under which tax rate changes accelerate risky investments.
While tax rate increases are often expected to harm investment, analytical
studies find tax rate increases may foster investment under flexibility.We design a theorybased
experimentwith a binomial random walk and entry–exit flexibility.We find accelerated
investment upon tax rate increases irrespective of an exit option, but no corresponding
response to tax cuts. This asymmetry may be due to tax salience and mechanisms
from irreversible choice under uncertainty. Given this evidence of unexpected tax-reform
effects, tax policymakers should carefully consider behavioral aspects.
AU - Fahr, René
AU - Janssen, Elmar A.
AU - Sureth-Sloane, Caren
ID - 29049
IS - 1-2
JF - FinanzArchiv / Public Finance Analysis
KW - Economic ExperimentM
KW - Investment Decisions
KW - Tax Effects
KW - Timing Flexibility
KW - Uncertainty
TI - Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment
VL - 78
ER -
TY - JOUR
AB - We study the bargaining behavior between auditor and auditee in a tax setting and scrutinize
the effect of interpersonal trust and trust in government on both parties’ concessions.
We find evidence that both kinds of trust affect the concessionary behavior, albeit
in different ways. While trust in government affects concessionary behavior in line with
intuitive predictions, we find that interpersonal trust only affects tax auditors. For high
interpersonal trust, the alleviating effect of high trust in government on tax auditors’
concessions is less pronounced. Our findings help tax authorities to shape programs to
enhance compliance in an atmosphere of trust.
AU - Eberhartinger, Eva
AU - Speitmann, Raffael
AU - Sureth-Sloane, Caren
AU - Wu, Yuchen
ID - 29048
IS - 1-2
JF - FinanzArchiv / Public Finance Analysis
KW - Behavioral Taxation
KW - Concessionary Behavior
KW - Interpersonal Trust
KW - Tax Audit
KW - Trust in Government
TI - How Does Trust Affect Concessionary Behavior in Tax Bargaining?
VL - 78
ER -
TY - JOUR
AU - Robra-Bissantz, Susanne
AU - Lattemann, Christoph
AU - Laue, Ralf
AU - Leonhard-Pfleger, Raphaela
AU - Wagner, Luisa
AU - Gerundt, Oliver
AU - Schlimbach, Ricarda
AU - Baumann, Sabine
AU - Vorbohle, Christian
AU - Gottschalk, Sebastian
AU - Kundisch, Dennis
AU - Engels, Gregor
AU - Wünderlich, Nancy
AU - Nissen, Volker
AU - Lohrenz, Lisa
AU - Michalke, Simon
ID - 33251
IS - 5
JF - HMD Praxis der Wirtschaftsinformatik
TI - Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme
VL - 59
ER -
TY - CONF
AU - Althaus, Maike
AU - Poniatowski, Martin
AU - Kundisch, Dennis
ID - 33502
T2 - Proceedings of the 43rd International Conference on Information Systems (ICIS)
TI - Tackling Crises Together? – An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic
ER -
TY - GEN
AU - Laux, Florian
AU - Poniatowski, Martin
AU - Kundisch, Dennis
ID - 33882
TI - May I have your attention, please? Analyzing the effects of attention screening mechanisms on crowdworking platforms
ER -
TY - GEN
AU - Seutter, Janina
ID - 33885
TI - Online Reviews in B2B Markets: A Qualitative Study on the Underlying Motives
ER -
TY - GEN
AU - Seutter, Janina
ID - 30916
T2 - Proceedings of the 30th European Conference on Information Systems (ECIS)
TI - Online Reviews in B2B Markets: A Qualitative Study of Underlying Motivations
ER -
TY - GEN
AU - Poniatowski, Martin
ID - 31062
T2 - Proceedings of the 28th Americas Conference on Information Systems (AMCIS)
TI - How the Display of the Transaction Count Affects the Purchase Intention
ER -
TY - CONF
AU - Vorbohle, Christian
AU - Kundisch, Dennis
ID - 30939
T2 - Proceedings of the 30th European Conference on Information Systems (ECIS)
TI - Overcoming Silos: A Review of Business Model Modeling Languages for Business Ecosystems
ER -
TY - GEN
AU - Althaus, Maike
AU - Poniatowski, Martin
AU - Kundisch, Dennis
ID - 30734
TI - Tackling Crises Together? - An Econometric Analysis of Charitable Crowdfunding During the COVID-19 Pandemic
ER -
TY - GEN
AU - Vorbohle, Christian
AU - Kundisch, Dennis
ID - 30212
TI - Key Properties of Sustainable Business Ecosystem Relationships
ER -
TY - CONF
AU - Grieger, Nicole
AU - Seutter, Janina
AU - Kundisch, Dennis
ID - 28999
T2 - Tagungsband der 17. Internationalen Tagung Wirtschaftsinformatik 2022
TI - Rollercoaster of Emotions – A Semantic Analysis of Fundraising Campaigns over the Course of the Covid-19 Pandemic
ER -
TY - GEN
AB - We study the consequences of modeling asymmetric bargaining power in two-person bargaining problems. Comparing application of an asymmetric version of a bargaining solution to an upfront modification of the disagreement point, the resulting distortion crucially depends on the bargaining solution concept. While for the Kalai-Smorodinsky solution weaker players benefit from modifying the disagreement point, the situation is reversed for the Nash bargaining solution. There, weaker players are better off in the asymmetric bargaining solution. When comparing application of the asymmetric versions of the Nash and the Kalai-Smorodinsky solutions, we demonstrate that there is an upper bound for the weight of a player, so that she is better off with the Nash bargaining solution. This threshold is ultimately determined by the relative utilitarian bargaining solution. From a mechanism design perspective, our results provide valuable information for a social planner, when implementing a bargaining solution for unequally powerful players.
AU - Haake, Claus-Jochen
AU - Streck, Thomas
ID - 32106
KW - Asymmetric bargaining power
KW - Nash bargaining solution
KW - Kalai-Smorodinsky bargaining solution
TI - Distortion through modeling asymmetric bargaining power
VL - 148
ER -
TY - JOUR
AU - Hoyer, Britta
AU - De Jaegher, Kris
ID - 31881
JF - International Journal of Game Theory
TI - Network Disruption and the Common-Enemy Effect
ER -
TY - JOUR
AU - Gutt, Jana Kim
AU - Thommes, Kirsten
ID - 34283
IS - 1
JF - Academy of Management Proceedings
KW - Microbiology
SN - 0065-0668
TI - Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments
VL - 2022
ER -
TY - JOUR
AU - Szopinski, Daniel
AU - Massa, Lorenzo
AU - John, Thomas
AU - Kundisch, Dennis
AU - Tucci, Christopher
ID - 33250
JF - Communications of the Association for Information Systems
TI - Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research
VL - 51
ER -
TY - JOUR
AB - Employing a unique and hand-collected sample of 648 true sale loan securitization transactions issued by 57 stock-listed banks across the EU-12 plus Switzerland over the period from 1997 to 2010, this paper empirically analyzes the relationship between true sale loan securitization and the issuing banks’ non-performing loans to total assets ratios. Overall, we provide evidence for a negative impact of securitization on NPL exposures suggesting that banks predominantly used securitization as an instrument of credit risk transfer and diversification. In addition, the analysis at hand reveals a time-sensitive relationship between securitization and NPL exposures. While we observe an even stronger NPL-reducing effect through securitization during the non-crisis periods, the effect reverses during and after the global financial crisis suggesting that banks were forced to provide credit enhancement and employ securitization as a funding management tool. Along with the results from a variety of sensitivity analyses our study provides important implications for the recent debate on reducing NPL exposures of European banks by revitalizing the European securitization market.
AU - Wengerek, Sascha Tobias
AU - Hippert, Benjamin
AU - Uhde, André
ID - 13147
JF - The Quarterly Review of Economics and Finance
KW - European Banking
KW - Non-performing Loans
KW - Securitization
TI - Risk allocation through securitization – Evidence from non-performing loans
VL - Vol. 86 (11)
ER -
TY - JOUR
AB - The paper investigates the impact of individual attention on investor risk-taking. We analyze a large sample of trading records from a brokerage service that allows its customers to trade contracts-for-differences (CFD), and sends standardized push messages on recent stock performance to its client investors. The advantage of this sample is that it allows us to isolate the "push" messages as individual attention triggers, which we can directly link to the same individuals' risk-taking. A particular advantage of CFD trading is that it allows investors to make use of leverage, which provides us a pure measure of investors' willingness to take risks that is independent of the decision to purchase a particular stock. Leverage is a major catalyst of speculative trading, as it increases the scope of extreme returns, and enables investors to take larger positions than what they can afford with their own capital. We show that investors execute attention-driven trades with higher leverage, compared to their other trades, as well as those of other investors who are not alerted by attention triggers.
AU - Arnold, Marc
AU - Pelster, Matthias
AU - Subrahmanyam, Marti G.
ID - 21571
IS - 2
JF - Journal of Financial Economics
TI - Attention triggers and investors' risk-taking
VL - 143
ER -
TY - JOUR
AU - Sperling, Martina
AU - Schryen, Guido
ID - 23415
IS - 2
JF - European Journal of Operational Research (EJOR)
TI - Decision Support for Disaster Relief: Coordinating Spontaneous Volunteers
VL - 299
ER -
TY - CONF
AB - Explainable Artificial Intelligence (XAI) is currently an important topic for the application of Machine Learning (ML) in high-stakes decision scenarios. Related research focuses on evaluating ML algorithms in terms of interpretability. However, providing a human understandable explanation of an intelligent system does not only relate to the used ML algorithm. The data and features used also have a considerable impact on interpretability. In this paper, we develop a taxonomy for describing XAI systems based on aspects about the algorithm and data. The proposed taxonomy gives researchers and practitioners opportunities to describe and evaluate current XAI systems with respect to interpretability and guides the future development of this class of systems.
AU - Kucklick, Jan-Peter
ID - 29539
KW - Explainable Artificial Intelligence
KW - XAI
KW - Interpretability
KW - Decision Support Systems
KW - Taxonomy
T2 - Wirtschaftsinformatik 2022 Proceedings
TI - Towards a model- and data-focused taxonomy of XAI systems
ER -
TY - JOUR
AU - Klingsiek, Katrin
AU - John, Thomas
AU - Kundisch, Dennis
ID - 30295
IS - 5
JF - die hochschullehre
TI - Procrastination in the Looking Glass of Self-Awareness: Can Gamified Self-Monitoring Reduce Academic Procrastination?
VL - 8
ER -
TY - JOUR
AU - Gutt, Jana Kim
AU - Thommes, Kirsten
ID - 32857
IS - 1
JF - Academy of Management Proceedings
KW - Microbiology
SN - 0065-0668
TI - Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments
VL - 2022
ER -
TY - JOUR
AU - Shollo, Arisa
AU - Hopf, Konstantin
AU - Thiess, Tiemo
AU - Müller, Oliver
ID - 32866
IS - 3
JF - The Journal of Strategic Information Systems
KW - Information Systems and Management
KW - Information Systems
KW - Management Information Systems
SN - 0963-8687
TI - Shifting ML value creation mechanisms: A process model of ML value creation
VL - 31
ER -
TY - JOUR
AB - AbstractNon-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.
AU - Redlin, Margarete
ID - 33221
JF - Journal of Regulatory Economics
KW - Economics and Econometrics
SN - 0922-680X
TI - Differences in NPI strategies against COVID-19
ER -
TY - JOUR
AB - AbstractWe provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.
AU - Gries, Thomas
AU - Naudé, Wim
ID - 33220
IS - 1
JF - Journal for Labour Market Research
KW - General Medicine
SN - 2510-5019
TI - Modelling artificial intelligence in economics
VL - 56
ER -
TY - JOUR
AU - Gries, Thomas
AU - Müller, Veronika
AU - Jost, John T.
ID - 33219
IS - 2
JF - Psychological Inquiry
KW - General Psychology
SN - 1047-840X
TI - The Market for Belief Systems: A Formal Model of Ideological Choice
VL - 33
ER -
TY - THES
AU - Endres-Fröhlich, Angelika Elfriede
ID - 32856
TI - Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption
ER -
TY - JOUR
AB - Abstract
An individual’s relation to time may be an important driver of pro-environmental behaviour. We studied whether young individual’s gender and time-orientation are associated with pro-environmental behaviour. In a controlled laboratory environment with students in Germany, participants earned money by performing a real-effort task and were then offered the opportunity to invest their money into an environmental project that supports climate protection. Afterwards, we controlled for their time-orientation. In this consequential behavioural setting, we find that males who scored higher on future-negative orientation showed significantly more pro-environmental behaviour compared to females who scored higher on future-negative orientation and males who scored lower on future-negative orientation. Interestingly, our results are completely reversed when it comes to past-positive orientation. These findings have practical implications regarding the most appropriate way to address individuals in order to achieve more pro-environmental behaviour.
AU - Hoffmann, Christin
AU - Hoppe, Julia Amelie
AU - Ziemann, Niklas
ID - 33692
IS - 10
JF - Environmental Research Letters
KW - Public Health
KW - Environmental and Occupational Health
KW - General Environmental Science
KW - Renewable Energy
KW - Sustainability and the Environment
SN - 1748-9326
TI - Who has the future in mind? Gender, time perspectives, and pro-environmental behaviour
VL - 17
ER -
TY - JOUR
AU - Kundisch, Dennis
AU - Muntermann, J.
AU - Oberländer, A. M.
AU - Rau, D.
AU - Röglinger, M.
AU - Schoormann, T.
AU - Szopinski, Daniel
ID - 23566
IS - 4
JF - Business & Information Systems Engineering
TI - An update for taxonomy designers: Methodological guidance from information systems research
VL - 64
ER -
TY - GEN
AU - Laux, Florian
AU - Kundisch, Dennis
ID - 33884
TI - Judgment or Choice? An Experimental Comparison of Evaluation Approaches for External Crowdvoting
ER -
TY - JOUR
AU - Hoffmann, Christin
AU - Thommes, Kirsten
ID - 34046
JF - IEEE Transactions on Human-Machine Systems
KW - Artificial Intelligence
KW - Computer Networks and Communications
KW - Computer Science Applications
KW - Human-Computer Interaction
KW - Signal Processing
KW - Control and Systems Engineering
KW - Human Factors and Ergonomics
SN - 2168-2291
TI - Seizing the Opportunity for Automation—How Traffic Density Determines Truck Drivers' Use of Cruise Control
ER -
TY - JOUR
AB - Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.
AU - Kucklick, Jan-Peter
AU - Müller, Oliver
ID - 35620
JF - ACM Transactions on Management Information Systems
KW - Interpretability
KW - Convolutional Neural Network
KW - Accuracy-Interpretability Trade-Of
KW - Real Estate Appraisal
KW - Hedonic Pricing
KW - Grad-Ram
SN - 2158-656X
TI - Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal
ER -
TY - JOUR
AU - Tawiah, Beatrice Baaba
ID - 35647
IS - 58
JF - Applied Economics
TI - Does education have an impact on patience and risk willingness?
VL - 54
ER -
TY - JOUR
AU - Kengelbach, Jens
AU - Keienburg, Georg
AU - Söllner, Tobias
AU - Wang, Yiran
AU - Sievers, Sönke
AU - Friedmann, Daniel
AU - Nielsen, Jesper
ID - 35719
JF - BCG M&A Report 2022
TI - Green Deals Gain Steam
ER -
TY - JOUR
AU - Kengelbach, Jens
AU - Friedman, Daniel
AU - Keienburg, Georg
AU - Degen, Dominik
AU - Söllner, Tobias
AU - Wang, Yiran
AU - Sievers, Sönke
ID - 35722
JF - BCG M&A Report 2022
TI - Do Green Deals Create Value?
ER -
TY - JOUR
AB - Abstract
Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.
AU - Beverungen, Daniel
AU - Hess, Thomas
AU - Köster, Antonia
AU - Lehrer, Christiane
ID - 35728
IS - 2
JF - Electronic Markets
KW - Management of Technology and Innovation
KW - Marketing
KW - Computer Science Applications
KW - Economics and Econometrics
KW - Business and International Management
SN - 1019-6781
TI - From private digital platforms to public data spaces: implications for the digital transformation
VL - 32
ER -
TY - JOUR
AB - AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.
AU - Bartelheimer, Christian
AU - zur Heiden, Philipp
AU - Lüttenberg, Hedda
AU - Beverungen, Daniel
ID - 35732
IS - 1
JF - Electronic Markets
KW - Management of Technology and Innovation
KW - Marketing
KW - Computer Science Applications
KW - Economics and Econometrics
KW - Business and International Management
SN - 1019-6781
TI - Systematizing the lexicon of platforms in information systems: a data-driven study
VL - 32
ER -
TY - JOUR
AB - AbstractBusiness process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic.
AU - Röglinger, Maximilian
AU - Plattfaut, Ralf
AU - Borghoff, Vincent
AU - Kerpedzhiev, Georgi
AU - Becker, Jörg
AU - Beverungen, Daniel
AU - vom Brocke, Jan
AU - Van Looy, Amy
AU - del-Río-Ortega, Adela
AU - Rinderle-Ma, Stefanie
AU - Rosemann, Michael
AU - Santoro, Flavia Maria
AU - Trkman, Peter
ID - 35741
IS - 5
JF - Business & Information Systems Engineering
KW - Information Systems
SN - 2363-7005
TI - Exogenous Shocks and Business Process Management
VL - 64
ER -