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Context-Aware Business Process Management Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2021-03-02 Jan vom Brocke; Marie-Sophie Baier; Theresa Schmiedel; Katharina Stelzl; Maximilian Röglinger; Charlotte Wehking
Context awareness is essential for successful business process management (BPM). So far, research has covered relevant BPM context factors and context-aware process design, but little is known about how to assess and select BPM methods in a context-aware manner. As BPM methods are involved in all stages of the BPM lifecycle, it is key to apply appropriate methods to efficiently use organizational resources
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Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-12-22 Jan Jöhnk, Malte Weißert, Katrin Wyrtki
Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important to successfully leverage AI’s business value. Thus, companies
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Know-Your-Customer (KYC) Requirements for Initial Coin Offerings Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-12-08 Nadine Kathrin Ostern, Johannes Riedel
Blockchain technology is often proposed as an infrastructure for decentralized Know-Your-Customer (KYC) verification, i.e., a process determining whether a customer is eligible for a given transaction. The benefit of using blockchain technology lies in the expected compliance costs reduction for companies by automatically enforcing KYC-requirements, whose results are accessible by multiple financial
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Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-12-04 Benedikt Berger, Martin Adam, Alexander Rühr, Alexander Benlian
Owing to advancements in artificial intelligence (AI) and specifically in machine learning, information technology (IT) systems can support humans in an increasing number of tasks. Yet, previous research indicates that people often prefer human support to support by an IT system, even if the latter provides superior performance – a phenomenon called algorithm aversion. A possible cause of algorithm
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Understanding Collaboration with Virtual Assistants – The Role of Social Identity and the Extended Self Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-12-01 Milad Mirbabaie, Stefan Stieglitz, Felix Brünker, Lennart Hofeditz, Björn Ross, Nicholas R. J. Frick
Organizations introduce virtual assistants (VAs) to support employees with work-related tasks. VAs can increase the success of teamwork and thus become an integral part of the daily work life. However, the effect of VAs on virtual teams remains unclear. While social identity theory describes the identification of employees with team members and the continued existence of a group identity, the concept
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Highly Accurate, But Still Discriminatory Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-11-24 Alina Köchling, Shirin Riazy, Marius Claus Wehner, Katharina Simbeck
The study aims to identify whether algorithmic decision making leads to unfair (i.e., unequal) treatment of certain protected groups in the recruitment context. Firms increasingly implement algorithmic decision making to save costs and increase efficiency. Moreover, algorithmic decision making is considered to be fairer than human decisions due to social prejudices. Recent publications, however, imply
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Personality Profiles that Put Users at Risk of Perceiving Technostress Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-11-17 Katharina Pflügner, Christian Maier, Jens Mattke, Tim Weitzel
Some information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential
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A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-08-04 Patrick Afflerbach, Christopher van Dun, Henner Gimpel, Dominik Parak, Johannes Seyfried
Research has shown that aggregation of independent expert judgments significantly improves the quality of forecasts as compared to individual expert forecasts. This “wisdom of crowds” (WOC) has sparked substantial interest. However, previous studies on strengths and weaknesses of aggregation algorithms have been restricted by limited empirical data and analytical complexity. Based on a comprehensive
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Extracting Maritime Traffic Networks from AIS Data Using Evolutionary Algorithm Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-07-28 Dominik Filipiak, Krzysztof Węcel, Milena Stróżyna, Michał Michalak, Witold Abramowicz
The presented method reconstructs a network (a graph) from AIS data, which reflects vessel traffic and can be used for route planning. The approach consists of three main steps: maneuvering points detection, waypoints discovery, and edge construction. The maneuvering points detection uses the CUSUM method and reduces the amount of data for further processing. The genetic algorithm with spatial partitioning
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Do All Roads Lead to Rome? Exploring the Relationship Between Social Referrals, Referral Propensity and Stickiness to Video-on-Demand Websites Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-07-21 Antonia Köster, Christian Matt, Thomas Hess
Content website providers have two main goals: They seek to attract consumers and to keep them on their websites as long as possible. To reach potential consumers, they can utilize several online channels, such as paid search results or advertisements on social media, all of which usually require a substantial marketing budget. However, with rising user numbers of online communication tools, website
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The Energy Consumption of Blockchain Technology: Beyond Myth Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-06-19 Johannes Sedlmeir, Hans Ulrich Buhl, Gilbert Fridgen, Robert Keller
When talking about blockchain technology in academia, business, and society, frequently generalizations are still heared about its – supposedly inherent – enormous energy consumption. This perception inevitably raises concerns about the further adoption of blockchain technology, a fact that inhibits rapid uptake of what is widely considered to be a groundbreaking and disruptive innovation. However
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DESERV IT: A Method for Devolving Service Tasks in IT Services Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-06-09 Florian Baer, Kurt Sandkuhl, Michael Leyer, Birger Lantow
Nowadays, IT operations devolve many tasks in IT services to internal customers (i.e., IT self-service). The rationale for this service task devolvement is often to reduce the IT personnel’s workload. However, prior research has shown that IT operations often fail to achieve this goal. Existing methods for modeling and analyzing services fall short of supporting service providers in identifying and
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Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-05-28 Lorenz Graf-Vlachy, Tarun Goyal, Yannick Ouardi, Andreas König
Online reviews, i.e., evaluations of products and services posted on websites, are ubiquitous. Prior research observed substantial variance in the language of such online reviews and linked it to downstream consequences like perceived helpfulness. However, the understanding of why the language of reviews varies is limited. This is problematic because it might have vital implications for the design
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The Negative Effects of Institutional Logic Multiplicity on Service Platforms in Intermodal Mobility Ecosystems Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-05-25 Thomas Schulz, Markus Böhm, Heiko Gewald, Zehra Celik, Helmut Krcmar
Digitalization is changing the mobility sector. Companies have developed entirely new mobility services, and mobility services with pre-digital roots, such as ride-sharing and public transport, have leveraged digitalization to become more convenient to use. Nevertheless, private car use remains the dominant mode of transport in most developed countries, leading to problems such as delays due to traffic
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An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-05-11 Andreas Balster, Ole Hansen, Hanno Friedrich, André Ludwig
Transparency in transport processes is becoming increasingly important for transport companies to improve internal processes and to be able to compete for customers. One important element to increase transparency is reliable, up-to-date and accurate arrival time prediction, commonly referred to as estimated time of arrival (ETA). ETAs are not easy to determine, especially for intermodal freight transports
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Identification of User Roles in Enterprise Social Networks: Method Development and Application Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-04-29 Janine Hacker, Kai Riemer
The importance of gaining insights into informal organizational structures for management purposes is acknowledged by both research and practice. However, “traditional” approaches to analyzing informal organizational social networks involve significant manual effort and do not scale for larger datasets. Enterprise Social Networks (ESN) have emerged as important tools for informal employee interactions
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Process Mining for Six Sigma Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-04-27 Teun Graafmans, Oktay Turetken, Hans Poppelaars, Dirk Fahland
Process mining offers a set of techniques for gaining data-based insights into business processes from event logs. The literature acknowledges the potential benefits of using process mining techniques in Six Sigma-based process improvement initiatives. However, a guideline that is explicitly dedicated on how process mining can be systematically used in Six Sigma initiatives is lacking. To address this
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Virtual Assistance in Any Context Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-04-06 Antje Janssen, Jens Passlick, Davinia Rodríguez Cardona, Michael H. Breitner
Several domain-specific assistants in the form of chatbots have conquered many commercial and private areas. However, there is still a limited level of systematic knowledge of the distinctive characteristics of design elements for chatbots to facilitate development, adoption, implementation, and further research. To close this gap, the paper outlines a taxonomy of design elements for chatbots with
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Intelligent User Assistance for Automated Data Mining Method Selection Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-03-18 Patrick Zschech, Richard Horn, Daniel Höschele, Christian Janiesch, Kai Heinrich
In any data science and analytics project, the task of mapping a domain-specific problem to an adequate set of data mining methods by experts of the field is a crucial step. However, these experts are not always available and data mining novices may be required to perform the task. While there are several research efforts for automated method selection as a means of support, only a few approaches consider
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Implementation of Aspect-oriented Business Process Models with Web Services Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-03-17 Hercules Sant Ana da Silva Jose, Claudia Cappelli, Flavia Maria Santoro, Leonardo Guerreiro Azevedo
In software development, crosscutting concerns, such as security, audit, access control, authentication, logging, persistence, transaction, error handling etc. can be modularized using the aspect-oriented paradigm. In business process modeling, aspects have been used to reduce visualization complexity, increase reuse and improve model maintainability. There are techniques which address aspects in modeling
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Designing Anthropomorphic Enterprise Conversational Agents Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-03-10 Stephan Diederich, Alfred Benedikt Brendel, Lutz M. Kolbe
The increasing capabilities of conversational agents (CAs) offer manifold opportunities to assist users in a variety of tasks. In an organizational context, particularly their potential to simulate a human-like interaction via natural language currently attracts attention both at the customer interface as well as for internal purposes, often in the form of chatbots. Emerging experimental studies on
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The Impact of Integration on Application Success and Customer Satisfaction in Mobile Device Platforms Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-01-29 Benedict Bender
Digital software platforms allow third parties to develop applications and thus extend their functionality. Platform owners provide platform boundary resources that allow for application development. For developers, platform integration, understood as the employment of platform resources, helps to realize application functionality effectively. Simultaneously, it requires integration effort and increases
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Standardization of Forms in Governments Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-01-27 Hendrik Scholta, Dian Balta, Michael Räckers, Jörg Becker, Helmut Krcmar
Forms are central interfaces for information exchange between a government and its citizens. As a way to translate laws into practice, forms are an essential part facilitating this exchange. Unfortunately, forms often require substantial development effort to ensure they comply with legal requirements, with the result that citizens often describe them as highly complex. Standardization of forms through
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Designing for Crowdfunding Co-creation Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2020-01-03 Nikolaus Lipusch, Dominik Dellermann, Ulrich Bretschneider, Philipp Ebel, Jan Marco Leimeister
Crowdfunding is now established as a valid alternative to conventional methods of financing for startups. Unfortunately, to date, research has not investigated how backers can be encouraged to support entrepreneurs beyond funding. The aim of this study is to design and evaluate certain design elements for reward-based crowdfunding platforms that can engage backers in co-creational activities for product
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Efficient Model Points Selection in Insurance by Parallel Global Optimization Using Multi CPU and Multi GPU Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-12-09 Ana Maria Ferreiro-Ferreiro,José Antonio García-Rodríguez,Luis A. Souto,Carlos Vázquez
In the insurance sector, Asset Liability Management refers to the joint management of the assets and liabilities of a company. The liabilities mainly consist of the policies portfolios of the insurance company, which usually contain a large amount of policies. In the article, the authors mainly develop a highly efficient automatic generation of model points portfolios to represent much larger real
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A Case for a New IT Ecosystem: On-The-Fly Computing Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-12-09 Holger Karl, Dennis Kundisch, Friedhelm Meyer auf der Heide, Heike Wehrheim
The complexity of development and deployment in today’s IT world is enormous. Despite the existence of so many pre-fabricated components, frameworks, cloud providers, etc., building IT systems still remains a major challenge and most likely overtaxes even a single ambitious developer. This results in spreading such development and deployment tasks over different team members with their own specialization
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Unlocking Online Reputation Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-10-16 Timm Teubner, Marc T. P. Adam, Florian Hawlitschek
With the ever-growing popularity of sharing economy platforms, complementors increasingly face the challenge to manage their reputation on different platforms. The paper reports the results from an experimental online survey to investigate how and under which conditions online reputation is effective to engender trust across platform boundaries. It shows that (1) cross-platform signaling is in fact
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Towards the Composition of Services by End-Users Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-08-20 Pedro Valderas, Victoria Torres, Vicente Pelechano
Nowadays, we live surrounded by heterogeneous and distributed services that are available to people anytime and anywhere. Even though these services can be used individually, it is through their synchronized and combined usage that end-users are provided with added value. However, existing solutions to service composition are not targeted at ordinary end-users. In fact, these solutions require technical
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Modeling IT Availability Risks in Smart Factories Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-08-19 Daniel Miehle, Björn Häckel, Stefan Pfosser, Jochen Übelhör
In the course of the ongoing digitalization of production, production environments have become increasingly intertwined with information and communication technology. As a consequence, physical production processes depend more and more on the availability of information networks. Threats such as attacks and errors can compromise the components of information networks. Due to the numerous interconnections
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Privacy-Preserving Process Mining Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-08-15 Felix Mannhardt,Agnes Koschmider,Nathalie Baracaldo,Matthias Weidlich,Judith Michael
Privacy regulations for data can be regarded as a major driver for data sovereignty measures. A specific example for this is the case of event data that is recorded by information systems during the processing of entities in domains such as e-commerce or health care. Since such data, typically available in the form of event log files, contains personalized information on the specific processed entities
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Data Impact Analysis in Business Processes Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-08-12 Arava Tsoury,Pnina Soffer,Iris Reinhartz-Berger
Business processes and their outcomes rely on data whose values are changed during process execution. When unexpected changes occur, e.g., due to last minute changes of circumstances, human errors, or corrections of detected errors in data values, this may have consequences for various parts of the process. This challenges the process participants to understand the full impact of the changes and decide
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Exploring the Relations Between Net Benefits of IT Projects and CIOs’ Perception of Quality of Software Development Disciplines Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-08-09 Damjan Vavpotič, Marko Robnik-Šikonja, Tomaž Hovelja
Software development enterprises are under consistent pressure to improve their management techniques and development processes. These are comprised of several software development methodology (SDM) disciplines such as requirements acquisition, design, coding, testing, etc. that must be continuously improved and individually tailored to suit specific software development projects. The paper proposes
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Discovering Data Quality Problems Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-07-22 Ruojing Zhang,Marta Indulska,Shazia Sadiq
Existing methodologies for identifying data quality problems are typically user-centric, where data quality requirements are first determined in a top-down manner following well-established design guidelines, organizational structures and data governance frameworks. In the current data landscape, however, users are often confronted with new, unexplored datasets that they may not have any ownership
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The Benefits of Enterprise Architecture in Organizational Transformation Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-06-19 Eetu Niemi, Samuli Pekkola
Today, as organizations constantly adjust their activities to meet ever-changing circumstances, continuous business transformation is taking place. However, planning and steering this transformation can be a daunting task as complexity has been built into the organization over the years. Enterprise Architecture (EA) has been widely adapted as a planning and governance approach to manage the complexity
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Repairing Alignments of Process Models Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-05-28 Sebastiaan J. van Zelst, Joos C. A. M. Buijs, Borja Vázquez-Barreiros, Manuel Lama, Manuel Mucientes
Process mining represents a collection of data driven techniques that support the analysis, understanding and improvement of business processes. A core branch of process mining is conformance checking, i.e., assessing to what extent a business process model conforms to observed business process execution data. Alignments are the de facto standard instrument to compute such conformance statistics. However
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Prognostic Model Development with Missing Labels Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-04-01 Patrick Zschech,Kai Heinrich,Raphael Bink,Janis S. Neufeld
Condition-based maintenance (CBM) has emerged as a proactive strategy for determining the best time for maintenance activities. In this paper, a case of a milling process with imperfect maintenance at a German automotive manufacturer is considered. Its major challenge is that only data with missing labels are available, which does not provide a sufficient basis for classical prognostic maintenance
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Collection and Elicitation of Business Process Compliance Patterns with Focus on Data Aspects Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-03-29 Thomas Voglhofer, Stefanie Rinderle-Ma
Business process compliance is one of the prevalent challenges for companies. Despite an abundance of research proposals, companies still struggle with manual compliance checks and the understanding of compliance violations in the light of missing root-cause explanations. Moreover, approaches have merely focused on the control flow perspective in compliance checking, neglecting other aspects such as
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Scheduling Flexible Demand in Cloud Computing Spot Markets Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-03-22 Robert Keller,Lukas Häfner,Thomas Sachs,Gilbert Fridgen
The rapid standardization and specialization of cloud computing services have led to the development of cloud spot markets on which cloud service providers and customers can trade in near real-time. Frequent changes in demand and supply give rise to spot prices that vary throughout the day. Cloud customers often have temporal flexibility to execute their jobs before a specific deadline. In this paper
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Performance Analysis and Enhancement of Deep Convolutional Neural Network Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-03-20 Jinjiang Wang,Yulin Ma,Zuguang Huang,Ruijuan Xue,Rui Zhao
Convolutional neural network has been widely investigated for machinery condition monitoring, but its performance is highly affected by the learning of input signal representation and model structure. To address these issues, this paper presents a comprehensive deep convolutional neural network (DCNN) based condition monitoring framework to improve model performance. First, various signal representation
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An Adaptive Scheduling Algorithm for Dynamic Jobs for Dealing with the Flexible Job Shop Scheduling Problem Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-03-06 Zhengcai Cao,Lijie Zhou,Biao Hu,Chengran Lin
Modern manufacturing systems build on an effective scheduling scheme that makes full use of the system resource to increase the production, in which an important aspect is how to minimize the makespan for a certain production task (i.e., the time that elapses from the start of work to the end) in order to achieve the economic profit. This can be a difficult problem, especially when the production flow
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How Do Market Standards Inhibit the Enactment of Digital Capabilities? Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-02-27 Daniel Fürstenau, Catherine Cleophas, Natalia Kliewer
Digital capabilities can improve organizations’ performance by supporting complex decision-making processes. However, when market standards constrain their enactment, the potential benefits promised by digital capabilities do not realize. The paper explores this tension by means of the critical case of a European airline, which had difficulty to enact a novel pricing approach and finds that market
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The New Era of Business Intelligence Applications: Building from a Collaborative Point of View Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-02-14 Miguel A. Teruel,Alejandro Maté,Elena Navarro,Pascual González,Juan C. Trujillo
Collaborative business intelligence (BI) is widely embraced by enterprises as a way of making the most of their business processes. However, decision makers usually work in isolation without the knowledge or the time needed to obtain and analyze all the available information for making decisions. Unfortunately, collaborative BI is currently based on exchanging e-mails and documents between participants
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A Reinforcement Learning Based Model for Adaptive Service Quality Management in E-Commerce Websites Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-31 Hoda Ghavamipoor,S. Alireza Hashemi Golpayegani
Providing high-quality service to all users is a difficult and inefficient strategy for e-commerce providers, especially when Web servers experience overload conditions that cause increased response time and request rejections, leading to user frustration and reduced revenue. In an e-commerce system, customer Web sessions have differing values for service providers. These tend to: give preference to
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Adaptive State Space Partitioning for Dynamic Decision Processes Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-28 Ninja Soeffker,Marlin W. Ulmer,Dirk C. Mattfeld
With the rise of new business processes that require real-time decision making, anticipatory decision making becomes necessary to use the available resources wisely. Dynamic real-time problems occur in many business fields, for example in vehicle routing applications with stochastic customer service requests expecting a fast response. For anticipatory decision making, offline simulation-based optimization
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Engineering of Augmented Reality-Based Information Systems Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-28 Lisa Berkemeier,Benedikt Zobel,Sebastian Werning,Ingmar Ickerott,Oliver Thomas
The development of augmented reality glasses is still ongoing and faces barriers in diffusion and concerns about their impact on users, organizations and society. The study aims to find sufficient solutions for this struggling digital innovation and to provide guidance for the implementation of augmented reality glasses in design-oriented projects. During a 3-year consortium research, acceptance and
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Data Portability on the Internet Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-25 Michael Wohlfarth
Data portability allows users to transfer data between competing online services. As data gets increasingly valuable for online services and users alike, the enforcement of data portability within the European Union by the General Data Protection Regulation will have important ramifications for the competition in online markets. Thus, this paper develops a game-theoretic model to examine firms’ strategic
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The Influence of Using Collapsed Sub-processes and Groups on the Understandability of Business Process Models Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-23 Oktay Turetken,Ahmet Dikici,Irene Vanderfeesten,Tessa Rompen,Onur Demirors
Many factors influence the creation of business process models which are understandable for a target audience. Understandability of process models becomes more critical when size and complexity of the models increase. Using vertical modularization to decompose such models hierarchically into modules is considered to improve their understandability. To investigate this assumption, two experiments were
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Developing Serious Games with Integrated Debriefing Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-21 Christian Karl Grund,Michael Schelkle
Serious games (SG) are recognized in several domains as a promising instructional approach. When it comes to the field of Information Systems, however, they are not yet broadly investigated. Especially in business intelligence and analytics, a literature review indicates the absence of SG for proper report design. Such games, however, seem beneficial since many business reports suffer from poor business
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Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-21 Matthias Carnein,Heike Trautmann
Analyzing data streams has received considerable attention over the past decades due to the widespread usage of sensors, social media and other streaming data sources. A core research area in this field is stream clustering which aims to recognize patterns in an unordered, infinite and evolving stream of observations. Clustering can be a crucial support in decision making, since it aims for an optimized
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Framing Microgrid Design from a Business and Information Systems Engineering Perspective Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2019-01-11 Thomas Sachs,Anna Gründler,Milos Rusic,Gilbert Fridgen
Microgrids are decentralized distribution networks that integrate distributed energy resources and balance energy generation and loads locally. The introduction of microgrids can help overcome the challenges of global energy systems. Despite this potential, the information systems domain has seen limited research on microgrids. This paper synthesizes research on elements of microgrids for electric
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Scenario-Based Design Theorizing Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-12-17 Raffaele Fabio Ciriello,Alexander Richter
As ever more companies encourage employees to innovate, a surplus of ideas has become reality in many organizations – often exceeding the available resources to execute them. Building on insights from a literature review and a 3-year collaboration with a banking software provider, the paper suggests a Digital Idea Screening Cockpit (DISC) to address this challenge. Following a design science research
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Design Principles for Systematic Search Systems: A Holistic Synthesis of a Rigorous Multi-cycle Design Science Research Journey Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-12-17 Benjamin Sturm,Ali Sunyaev
Rigorous systematic literature searches are often described as complex, error-prone and time-consuming because of a prevailing lack of adequate technological assistance. Nonetheless, one of the first steps when conducting a rigorous literature review is finding an appropriate literature sample. The quality of this literature sample is an important factor for the overall quality of the literature review
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Towards Confirmatory Process Discovery: Making Assertions About the Underlying System Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-12-04 Gert Janssenswillen,Benoît Depaire
The focus in the field of process mining, and process discovery in particular, has thus far been on exploring and describing event data by the means of models. Since the obtained models are often directly based on a sample of event data, the question whether they also apply to the real process typically remains unanswered. As the underlying process is unknown in real life, there is a need for unbiased
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Towards Digital Transformation in Fashion Retailing: A Design-Oriented IS Research Study of Automated Checkout Systems Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-11-26 Matthias Hauser,Sebastian A. Günther,Christoph M. Flath,Frédéric Thiesse
Automated checkout systems promise greater sales due to an improved customer experience and cost savings because less store personnel is needed. The present design-oriented IS research study is concerned with an automated checkout solution in fashion retail stores. The implementation of such a cyberphysical system in established retail environments is challenging as architectural constraints, well-established
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Service-Dominant Business Model Design for Digital Innovation in Smart Mobility Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-11-22 Oktay Turetken,Paul Grefen,Rick Gilsing,O. Ege Adali
In many business domains, rapid changes have occurred as a consequence of digital innovation, i.e., the application of novel information technologies to achieve specific business goals. A domain where digital innovation has great potential is smart mobility, which aims at moving around large sets of people and goods in a specific geographic setting in an efficient and effective way. So far, many innovations
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A Project Portfolio Management Approach to Tackling the Exploration/Exploitation Trade-off Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-11-12 Alexander Linhart,Maximilian Röglinger,Katharina Stelzl
Organizational ambidexterity (OA) is an essential capability for surviving in dynamic business environments that advocates the simultaneous engagement in exploration and exploitation. Over the last decades, knowledge on OA has substantially matured, covering insights into antecedents, outcomes, and moderators of OA. However, there is little prescriptive knowledge that offers guidance on how to put
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Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-10-16 Swapnajit Chakraborti,Shubhamoy Dey
Automatic text summarization can be applied to extract summaries from competitor intelligence (CI) corpora that organizations create by gathering textual data from the Internet. Such a representation of CI text is easier for managers to interpret and use for making decisions. This research investigates design of an integrated system for CI analysis which comprises clustering and automatic text summarization
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Why Incorporating a Platform-Intermediary can Increase Crowdsourcees’ Engagement Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-10-08 Julia Troll,Ivo Blohm,Jan Marco Leimeister
While the crowdsourcer’s job is to encourage valuable contributions and sustained commitment in a cost-effective manner, it seems as if the primary attention of management and research is still centered on the evaluation of contributions rather than the crowd. As many crowdsourcers lack the resources to successfully execute such projects, crowdsourcing intermediaries play an increasingly important
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A Value Co-creation Perspective on Information Systems Analysis and Design Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-09-06 Kazem Haki,Michael Blaschke,Stephan Aier,Robert Winter
Information systems analysis and design (ISAD) ensures the design of information systems (IS) in line with the requirements of a business environment. Since ISAD approaches follow the currently dominant logic of business, the rise of a new and thriving business logic may require revisiting and advancing extant ISAD approaches and techniques. One of the prevailing debates in marketing research is the
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Conquering the Challenge of Continuous Business Model Improvement Bus. Inf. Syst. Eng. (IF 5.837) Pub Date : 2018-09-05 Benedikt Simmert,Philipp Alexander Ebel,Christoph Peters,Eva Alice Christiane Bittner,Jan Marco Leimeister
In an atmosphere of rapidly changing business environments and intense competition, adequate and timely business models are crucial for companies. Current research mainly focuses on business model development that often neglects the legacy of established companies. The paper at hand addresses this research gap by a process design which allows established companies to rethink, improve, and continually