Daniel Fuerstenau

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Freie Universität Berlin | FUB · School of Business and Economics

Shadow IT is becoming increasingly important as digital work practices make it easier than ever for business units crafting their own IT solutions. Prior research on shadow IT systems has often used fixed accounts of good or evil: They have been celebrated as powerful drivers of innovation or demonized as lacking central governance. We introduce...

(accepted Nov 19, 2018: https://rdcu.be/bdoVh) Multi-sided platforms have become the hallmark of the digital economy. However, their impact varies profoundly across different markets. We have done a longitudinal case study on HSPC, a platform jointly provided by a consortium led by multiple U.S. health care providers. Our focus is on the developmen...

Digital infrastructures are a result of individual yet interdependent systems evolving in relation to each other. In this paper, we identify three processes by which individual systems become embedded into digital infrastructures. First, there are parallel processes, in which systems become embedded independently of each other. Second, there are co...

The assumption that generativity engenders unbounded growth has acquired an almost taken-for-granted position in information systems and management literature. Against this premise, we examine the relationship between generativity and user base growth in the context of a digital platform. To do this, we synthesize the literature on generativity int...

This study explores the relationship between the governance of architecturally embedded applications and their longevity in organizational use. Using a contingency-fit logic, it posits that alignment between application governance (distribution of decision rights) and architectural contingencies contributes to sustained durations of organizational...

The goal of this study is to explore evidence for a Matthew effect in system embeddedness. The secondary objective is to understand the relationship between the Matthew effect and (1) a “criticality trap,” a situation where excess inertia leaves an organization trapped in a system or (2) a “redundancy slip,” where low embeddedness leads to system d...

As low-code/no-code citizen development programs become more prevalent, aiming to upskill the workforce and enhance digital literacy, a new approach to collaboration between business units and IT units is essential. To explore the nature and architecture of these programs, we conducted a multi-case study involving 18 firms and interviewed 22 indivi...

As low-code/no-code citizen development programs become more prevalent, aiming to upskill the workforce and enhance digital literacy, a new approach to collaboration between business units and IT units is essential. To explore the nature and architecture of these programs, we conducted a multi-case study involving 18 firms and interviewed 22 indivi...

Health data sharing platforms aim to improve medical evidence and lower costs by combining data for secondary use. Emerging from public, or public-private initiatives, these platforms face a challenge in sustaining beyond initial funding. The dominant view in platform literature implies that platforms should strive for network effects to capture va...

We propose a categorization of smartwatch use in the health care sector into 3 key functional domains: monitoring, nudging, and predicting. Monitoring involves using smartwatches within medical treatments to track health data, nudging pertains to individual use for health purposes outside a particular medical setting, and predicting involves using...

The secondary use of health data is associated with enormous opportunities to improve healthcare efficiency and the creation of novel data-driven value propositions. Information Systems research has recognized this potential and focuses on that topic from various perspectives, such as data-driven value creation through health analytics or data plat...

The secondary use of health data is associated with enormous opportunities to improve healthcare efficiency and the creation of novel data-driven value propositions. Information Systems research has recognized this potential and focuses on that topic from various perspectives, such as data-driven value creation through health analytics or data plat...

Low-code/no-code platforms are powerful tools that enable “citizen developers”employees with little or no IT background—to quickly create digital solutions. The success of citizen development requires addressing challenges like security, compliance and organizational change. Drawing on insights from 24 companies that have embarked on citizen-driven...

This scoping review investigates sustainability in the reuse of health data on a technological, intra-organizational, inter-organizational, and regulatory level. Thereby, it focuses on the evolutionary, relational, and durational perspective of sustainability. The study highlights various challenges in achieving data sustainability, from regulatory...

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevance but encounter challenges in user acceptance. Active participation of end-users in the development and implementation of AI can enhance acceptance. This study proposes a scale to measure the degree of end-user participation in AI development and im...

Background Management of sedation, analgesia, and delirium influences morbidity, mortality, and quality of life in patients treated in intensive care. Assessing quality indicators as part of a quality management and assurance program is an established method to ensure process quality. Currently, there is limited research on the effect of evaluating...

BACKGROUND Medication errors are a prevalent, hazardous, and costly problem in healthcare, which could be prevented by utilizing interoperable medication software. OBJECTIVE This study aimed to assess medication data across multiple systems in a large university hospital to create a minimal standardized database for generating interoperable protot...

BACKGROUND The health sector accounts for 4.6% of global greenhouse gas emissions which is primarily due to its heavy reliance on the production and sale of single-use medical devices. This type of business model results in high daily volumes of medical waste, contributing to the carbon footprint of the sector. With digitalization entering healthca...

BACKGROUND Social Robots (SR), sensorimotor machines designed to interact with humans, can help to respond to the increasing demands in the health care sector (HCS). To ensure a successful use of this technology, acceptance is paramount. Generative Artificial Intelligence (Generative AI) is an emerging technology with the potential to enhance the f...

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevance but encounter challenges in user acceptance. Active participation of end-users in the development and implementation of AI can enhance acceptance. This study proposes a scale to measure the degree of end-user participation in AI development and im...

This study aims to better understand the characteristics of older adults with an increased risk of falls in the inpatient setting using machine learning techniques.

While digital platforms lead to societal progress through broadening information access, they started to face criticism for creating winner-takes-all dynamics and enforcing rules that cause societal inequalities. This prompted European policymakers to introduce initiatives and regulations that establish data spaces. We systematically reviewed 874 d...

UNSTRUCTURED We propose a categorization of smartwatch use in the health care sector into 3 key functional domains: monitoring, nudging, and predicting. Monitoring involves using smartwatches within medical treatments to track health data, nudging pertains to individual use for health purposes outside a particular medical setting, and predicting in...

This minitrack, for the second time, deepens understanding of data sharing, data ecosystems, data platforms, data spaces, data hubs, and repositories. It emphasizes diverse perspectives, covering technical, organizational, social, and regulatory aspects, and examines multiple levels, including system, individual, community, and societal dimensions....

Zusammenfassung Im Dezember 2019 wurden in Deutschland Digitale Gesundheitsanwendungen (DiGA) in die Regelversorgung aufgenommen und können somit durch die gesetzlichen Krankenkassen erstattet werden, um PatientInnen bei der Behandlung von Erkrankungen oder Beeinträchtigungen zu unterstützen. Inzwischen gibt es 48 DiGA (Stand: Oktober 2023) im Verz...

Background The circular economy reshapes the linear “take, make, and dispose” approach and evolves around minimizing waste and recapturing resources in a closed-loop system. The health sector accounts for 4.6% of global greenhouse gas emissions and has, over the decades, been built to rely on single-use devices and deal with high volumes of medical...

Social innovation research has largely focused on individuals' values, beliefs, and perceptions of usefulness as they relate to the acceptance of social innovations. However, this research often lacks a sociological perspective, especially when it comes to social innovations that involve new behaviors and collective interactions. Additionally, the...

Forschungs- und Entwicklungsprojekte im Themenfeld Technik und Pflege sind mit der Herausforderung konfrontiert, bedarfsgerechte Technologien unter Einbezug und Berücksichtigung vielfältiger Akteure und Rahmenbedingungen zu entwickeln, zu erproben, zu implementieren und zu evaluieren. Ein geringer Digitalisierungsgrad in Pflegeeinrichtungen, die In...

Background: Previous studies have revealed that users of symptom checkers (SCs, apps that support self-diagnosis and self-triage) are predominantly female, are younger than average, and have higher levels of formal education. Little data are available for Germany, and no study has so far compared usage patterns with people's awareness of SCs and t...

Requests for a coordinated response during the COVID-19 pandemic revealed the limitations of locally-operating public health agencies (PHAs) and have resulted in a growing interest in their digitalization. However, digitalizing PHAs – i.e., transforming them technically and organizationally – toward the needs of both employees and citizens is chall...

BACKGROUND Critical care information systems (CCIS) can have positive, neutral or negative effects on clinical care in intensive care units (ICUs) and the job satisfaction of ICU staff. Central mediating factors here are a high usability of the IT system and sufficient training, but also possible occuring resistance generated by increased control v...

Background and aim While artificial intelligence (AI) is being adapted for various life domains and applications related to medicine and healthcare, the use of AI in nursing practice is still scarce. The German Ministry for Education and Research funded a study in order to explore needs, application scenarios, requirements, facilitators and barrier...

This paper focuses on the integration of digital therapeutics (DTx) into future-oriented and patient-centric care pathways. Based on a workshop series and problem-centered interviews in Germany, the current state-of-the-art of regulatory and technical integration of DTx was mapped as a landscape of DTx interoperability. The results focus on key int...

It is long established that data from platforms can be useful for deriving patterned insights into people’s behavior and conduct. Data platforms are important in fields with limited data availability and strict regulatory and hierarchical structures, such as healthcare and nursing analytics. Hence, we carefully examine three forerunner initiatives...

Digital therapeutics (DTx), as a subset of Software as a Medical Device and often delivered through mobile interventions, promise better and personalized care for patients. Various countries across the globe have introduced regulatory frameworks, allowing for the universal reimbursement of DTx. This catchword highlights the importance of DTx as a d...

BACKGROUND The circular economy reshapes the linear “take, make, and dispose” approach and evolves around minimizing waste and recapturing resources in a closed-loop system. The health sector accounts for 4.6% of global greenhouse gas emissions and has, over the decades, been built to rely on single-use devices and deal with high volumes of medical...

Few studies and almost exclusively from the USA have recently investigated mobile phone and computer use among users of psychiatric services, which is of high relevance regarding the increasing development of digital health applications and services. Objective, design and setting In a cross-sectional patient survey, we examined (a) rates and purpo...

Background Shared decision-making (SDM) in perioperative care, is an organizational approach to instituting sharing of information and decision-making around surgery. It aims at enabling patient autonomy and patient-centered care. Frail and elderly patients suffering from multiple health conditions and increased surgical vulnerability might particu...

BACKGROUND Previous UK, US and Canadian studies revealed that users of symptom checkers are predominantly female, younger than average and have higher levels of formal education. Little data is available for Germany, and no study has so far compared factors associated with usage of symptom checkers to factors associated with awareness of and benefi...

Zusammenfassung Die COVID-19-Krise verdeutlichte die Schlüsselrolle des Öffentlichen Gesundheitsdienstes (ÖGD) mit den rund 375 kommunalen Gesundheitsämtern in der Pandemiebekämpfung. Dabei stellte neben fehlenden personellen Ressourcen auch die unzureichende digitale Reife vieler Gesundheitsämter eine Hürde für die effektive und skalierbare Infekt...

This minitrack provides a venue for all work (qualitative, quantitative, computational, and design) in relation to better understanding health data platforms, data repositories, data sharing, data governance, and ecosystems. It highlights various perspectives, including technical, organizational, social, and regulatory ones and considers multiple l...

Background and aim: While artificial intelligence (AI) is being adapted for various life domains and applications related to medicine and healthcare, the use of AI in nursing practice is still scarce. The German Ministry for Education and Research funded a study in order to explore needs, application scenarios, requirements, facilitators and barrie...

Background Healthcaare delivery will change through the increasing use of artificial intelligence (AI). Physicians are likely to be among the professions most affected, though to what extent is not yet clear. Objective We analyzed physicians’ and AI experts’ stances towards AI-induced changes. This concerned (1) physicians’ tasks, (2) job replacem...

Zusammenfassung Hintergrund Die Anämie hat eine hohe Prävalenz bei Patienten vor Hüftgelenkrevisionsoperation und ist mit einer erhöhten Komplikationsrate assoziiert. Die vorliegende Arbeit untersucht erstmals den Zusammenhang von Kosten, realen DRG-Erlösen und Falldeckung der präoperativen Anämie bei elektiven Hüftgelenkrevisionsoperationen. Met...

BACKGROUND: Shared decision-making (SDM) in perioperative care, an organizational approach to instituting sharing of information and decision-making around surgery, aims at enabling patient-centric treatment and alignment of care to individual patient needs. Frail and elderly patients suffering from multiple health conditions and increased surgical...

The rise of digital-themed research in information systems (IS) and other disciplines is signaling the dawn of a new era and an opportunity for IS to position itself as a reference discipline. Emerging digital-themed studies have argued that the logic of theorizing about IT does not necessarily translate to the digital – yet we have limited theoret...

Emerging technologies in healthcare such as wearables, robotics, nanotech, connected health, and genomics technologies produce increasing amounts of data, which fuel artificial intelligence-powered algorithms to actively react to, predict, and prevent diseases and steer scarce healthcare resources. Currently, while digitalization in the healthcare...

Standardized fall risk scores have not proven to reliably predict falls in clinical settings. Machine Learning offers the potential to increase the accuracy of such predictions, possibly vastly improving care for patients at high fall risks. We developed a boosting algorithm to predict both recurrent falls and the severity of fall injuries. The mod...

BACKGROUND: Shared decision-making (SDM) is an approach to enable patient-centeredness and tailored treatment pathways, within the perioperative setting. This could benefit frail and elderly patients, who suffer from multiple health issues and increased surgical vulnerability and postoperative complications, requiring individualized healthcare. How...

Although disease etiologies differ, heart failure patients with preserved and reduced ejection fraction (HFpEF and HFrEF, respectively) both present with clinical symptoms when under stress and impaired exercise capacity. The extent to which the adaptation of heart rate (HR), stroke volume (SV), and cardiac output (CO) under stress conditions is al...

Aim: The purpose of this paper is to investigate the implementation of value-based care principles in the context of frailty in the perioperative process, highlighting the importance of an integrative perspective considering medical and patient-centric outcomes as well as costs. Subject and methods: This mixed-methods study employs a sequential de...

Background: Artificial intelligence (AI) holds the promise of supporting nurses' clinical decision-making in complex care situations or conducting tasks that are remote from direct patient interaction, such as documentation processes. There has been an increase in the research and development of AI applications for nursing care, but there is a pers...

The literature on healthcare management has noted that shared decision-making (SDM) - a practice of organizing joint decisions between healthcare professionals and patients - should improve healthcare outcomes through patient engagement and autonomy, fostering patient-centeredness. While SDM projects are implemented across Europe and the US, the di...

The literature on healthcare management and innovation has long noted that shared decision-making (SDM), a practice of organizing joint decisions between healthcare professionals and patients, should improve healthcare outcomes by increasing patient engagement and autonomy, and thus fostering patient-centeredness and equality. While SDM projects ar...

Background The role of telemedicine in intensive care has been increasing steadily. Tele–intensive care unit (ICU) interventions are varied and can be used in different levels of treatment, often with direct implications for the intensive care processes. Although a substantial body of primary and secondary literature has been published on the topic...

BACKGROUND The role of telemedicine in intensive care has been increasing steadily. Tele–intensive care unit (ICU) interventions are varied and can be used in different levels of treatment, often with direct implications for the intensive care processes. Although a substantial body of primary and secondary literature has been published on the topic...

This report documents the outcomes of a professional development workshop (PDW) held at the 40th International Conference on Information Systems in Munich, Germany. The workshop’s goal was to identify how information systems (IS) researchers can contribute to enriching the understanding of digital entrepreneurship—that is, the intersection of digit...

accepted 14.02.2020: With the advent of end-user and cloud computing, business users can implement information systems for work practices on their own – either from scratch or as extensions to existing systems. The resulting information systems, however, often remain hidden from managers and official IT units, and are therefore called “shadow IT sy...

Multi-sided platforms in healthcare often focus their business model on standardizing care for widespread, chronic diseases. However, there is a lack of knowledge surrounding platform business models enabling individualized care coordination for patients with rare diseases. This paper analyses the development of a complex platform business model ad...

Participatory urban planning enables citizens to make their voices heard in the urban planning process. The resulting measures are more likely to be accepted by the community. However, the participation process becomes more effortful and time-consuming. New approaches have been developed using digital technologies to facilitate citizen participatio...

Digital startups’ use of AI technologies has significantly increased in recent years, bringing to the fore specific barriers to deployment, use, and extraction of business value from AI. Utilizing a quantitative framework regarding the themes of startup growth and scaling, we examine the scaling behavior of AI, platform, and service startups. We fi...

BACKGROUND Artificial intelligence (AI) holds the promise to support nurses’ clinical decision making in complex care situations or to conduct tasks that are remote from direct patient interaction such as documentation processes. There has been an increase in research and development of AI applications for nursing care, but a persistent lack of an...

Background Artificial intelligence (AI) holds the promise of supporting nurses’ clinical decision-making in complex care situations or conducting tasks that are remote from direct patient interaction, such as documentation processes. There has been an increase in the research and development of AI applications for nursing care, but there is a persi...

Mobile health startups develop innovative, sensor-based solutions that continuously collect health data. To generate added value from these large amounts of data, an integration of the solutions into the healthcare system is essential. In this context, the collaboration between interdependent healthcare stakeholders is required which can be enabled...

Amyotrophic Lateral Sclerosis (ALS) is a severe neurological disease; as a result, patient care requires a complex network of specialists and equipment providers. Despite best intentions , the organizational and regulatory structures in Germany have not been geared towards efficient and effective coordination of care for patients and their caregive...

This paper reports on several studies in the context of implementing the humanoid social robot Pepper in a financial institution. The results show that the robot can affect the boundary relations between the roles of customer and service worker differently from common-sense expectations. While employees initially feared to be automated away by the...

Frailty is a multidimensional syndrome common in elderly people, which manifests itself through an increased vulnerability resulting from aging-associated decline in physical and psychological reserves (Xue 2011). In Germany, approximately 16.9 million patients undergo surgical procedures per year, almost half of which are performed in patients ove...

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. We explore this tension via the critical case of a European airline, which struggles to enact a novel pricing a...

BACKGROUND Telemedicine has been deployed to address issues in intensive care delivery as well as improve outcome and quality of care. Implementation of this technology has been characterized by significant variability. Tele intensive care unit (ICU) interventions involve the combination of multiple technological and organizational components as we...

Background Telemedicine has been deployed to address issues in intensive care delivery, as well as to improve outcome and quality of care. Implementation of this technology has been characterized by high variability. Tele-intensive care unit (ICU) interventions involve the combination of multiple technological and organizational components, as well...

Digital infrastructure represents for startups in entrepreneurial ecosystems an important asset but also a major risk. Drawing on studies about digital entrepreneurship and ecosystems, we examine the determinants of the heterogeneity of startups’ tech stacks in ecosystems. Using publicly available data from the data aggregators Stackshare and Crunc...

We study the growth, complexity, and generativity of a digital platform—Otto.de. Through a longitudinal analysis of the company’s 65 GitHub open source repositories over a period of 6.5 years, we find a) support for a superlinear growth pattern, b) a structural split in the platform into two clusters, and c) indication that more active repositories...

We suggest an emergent change framework for enterprise architecture. Drawing on Leavitt’s Change Model of Organizations, our framework focusses on socio-technical changes in tasks, structures, actors, and technologies. By applying the framework to a medium-sized company from the media industry and drawing on a relatively unique panel data set (2014...