
Christian Dremel- PhD
- Norwegian University of Science and Technology
Christian Dremel
- PhD
- Norwegian University of Science and Technology
About
50
Publications
113,197
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Introduction
Publications
Publications (50)
Drawing on a revelatory case study, we identify four big data analytics (BDA) actualization mechanisms: (1) enhancing, (2) constructing, (3) coordinating, and (4) integrating, which manifest in actions on three socio-technical system levels, i.e., the structure, actor, and technology levels. We investigate the actualization of four BDA affordances...
In response to turbulent business environments, organizations are embarking on
digital transformation journeys, often turning to “high speed” methods such as agile
practices. These methods are key enablers for addressing time complexities in digital
transformations, including time-to-delivery, cycle time, lead time, latency, real-time
and velocity....
Big data analytics (BDA) has been proven to be a source for business value in organizations. Though the notion of capabilities is often used to explain business value realization, the process from BDA-related organizational investments into business value is not yet fully understood. To address this gap in research, we draw on an action design rese...
The rise of new digital technologies requires organizations to adjust their current strategy, processes and product portfolio, a phenomenon known as digital transformation. Organizations undergoing digital transformation face substantial barriers and a range of inertial forces. While inertia has been studied to a great extent under the lens of orga...
Quantum computing promises to be the next disruptive technology, with numerous possible applications and implications for organizations and markets. Quantum computers exploit principles of quantum mechanics, such as superposition and entanglement, to represent data and perform operations on them. Both of these principles enable quantum computers to...
To meet the challenge of digital transformation and remain competitive in an increasingly volatile business environment, many incumbent companies have established Digital Innovation Units (DIUs). Despite a growing body of knowledge, current research paints a rather static picture of DIUs due to a lack of studies that have collected data over time t...
Organizations strive to innovate with Artificial Intelligence (AI) to tap new value potentials and outperform their competition. However, despite the enormous expectations associated with AI, incorporating the latter induces novel uncertainties and can even result in business value destruction. Therefore, organizations innovating with AI must manag...
To face the challenge of digital transformation as well as to implement digital innovation many incumbent companies have set up digital innovation units (DIUs). Despite a steadily growing body of knowledge, there is a rather static picture of DIUs in the literature to date, and we have little knowledge of how these units evolve over time to continu...
Digital transformation is often characterized as a liminal process as organizations move from established practices to new ways of organizing afforded by digital technology. Two contrasting views exist, however, on the liminality of digital transformation. One view sees liminality as a discrete transient process, while the other sees it as an ongoi...
As physical products are increasingly augmented with digital technology, manufacturing firms have become part of the development of so-called smart products and smart services. As such, manufacturing firms are challenged by new market participants and ecosystem partners, particularly from the software development industry, and by the dynamic nature...
Zusammenfassung
Viele der wertvollsten Unternehmen der Welt betreiben ihr Geschäft auf Basis einer digitalen Plattform samt umgebendem Ökosystem. Während es in der Theorie zahlreiche Erklärungs-und Gestaltungsansätze für die erfolgreiche Umsetzung gibt, gelten diese wirtschaftlich attraktiven Geschäftsmodelle in der Praxis nach wie vor als herausfo...
To develop and implement digital innovations many incumbent companies have set up digital innovation units (DIUs) primarily as part of their digital transformation journey. Despite a steadily growing body of knowledge, however, extant literature is in a nascent stage to explain the unfolding of digital innovations in such units. Drawing on empirica...
Industry 4.0 is transforming how businesses innovate and, as a result, companies are spearheading the movement towards ‘Digital Transformation’. While some scholars advocate the use of design thinking to identify new innovative behaviours, cognition experts emphasise the importance of top managers in supporting employees to develop these behaviours...
In recent years artificial intelligence (AI) has been seen as a technology with tremendous potential for enabling companies to gain an operational and competitive advantage. However, despite the use of AI, businesses continue to face challenges and are unable to immediately realize performance gains. Furthermore, firms need to introduce robust AI s...
As the digital transformation proceeds in great strides, industrial companies move forward on their evolutionary process from smart connected products to systems of systems. Empirically grounded in an 18-month innovation project at SustainabilityCompany – a globally leading supplier of piping systems – this manuscript strives to share in-depth insi...
Big data analytics (BDA) and strategies for implementing BDA have received attention among researchers and practitioners alike. However, success stories pertaining to the implementation of BDA remain scarce. The notion of the BDA deployment gap describes the chasm between the attributed value potential of BDA and its actual value realization in org...
Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations...
In recent years artificial intelligence (AI) has been seen as a technology with the potential for significant impact in enabling firms to get an operational and competitive advantage. However, despite the use of AI, companies still face challenges and cannot quickly realize performance gains. Adding to the above, firms need to introduce robust AI s...
In recent years artificial intelligence (AI) has been seen as a technology with the potential for significant impact in enabling firms to get an operational and competitive advantage. However, despite the use of AI, companies still face challenges and cannot quickly realize performance gains. Adding to the above, firms need to introduce robust AI s...
While digital transformation as a research phenomenon per se gains acceptance in both practice and academia, its precise conceptualization and theoretical underpinnings are discussed. To address these gaps, we propose a critical realist view on Digital Transformation. Building on a literature review on generative mechanisms in digital transformatio...
In the globalized, turbulent, and rushed nature of contemporary work, organizations perceive an increasing pressure to master digital transformation. To do so, organizations are increasingly turning to 'high speed' methods such as agile and flow. We argue that the differentiating feature of these methods is how to address time complexity to increas...
Big data analytics (BDA) gained importance in scholarly and practitioner literature alike. There is some disagreement, however, whether BDA is merely an evolution of established phenomena, most particularly business intelligence, or whether BDA represents a novel technology-driven innovation with potentially disruptive market impacts. Using the tec...
The study of sociomateriality in Information Systems (IS) research is recording increasing impact and interest. Primarily focused on the entanglement of the social and the material, we argue that IS literature on sociomateriality lacks a proper account of the affective configurations that transform a sociomaterial practice in a place of salience to...
Artificial Intelligence (AI) promises to have a transformational impact on our economy and society. It offers the opportunity for digital innovation, as it can be embedded in products and services. However, although companies are adopting AI, success stories are limited. Similarly, research on how to realize digital innovation from AI is scarce. To...
During early 2020, courts had to leave their physical world and go online overnight due to COVID 19. The way courts function and organize their work has a tremendous impact on making justice accessible. Little research has been done to understand how courts, judges, prosecutors, and defendants’ practices are re-configured with the adoption of new t...
Zusammenfassung
Neben der massiven Erhöhung der Leistungsfähigkeit ist die radikale Miniaturisierung von Technologien ein zentraler Aspekt des digitalen Zeitalters – auch im Bereich der Robotik. In diesem Kontext stellen Smart Dust und Micro Robots mikro-elektro-mechanische Systeme im Sub-Millimeter-Bereich dar, je nach Ausprägung mit Sensorik‑, Ve...
Neben der massiven Erhöhung der Leistungsfähigkeit ist die radikale Miniaturisierung von Technologien ein zentraler Aspekt des digitalen Zeitalters – auch im Bereich der Robotik. In diesem Kontext stellen Smart Dust und Micro Robots mikro-elektro-mechanische Systeme im Sub-Millimeter-Bereich dar, je nach Ausprägung mit Sensorik-, Verarbeitungs-, Ko...
The study of sociomateriality in Information Systems (IS) research has been increasing its impact and interest. Primarily focusing on how the material and the social are intertwined and its implication for organizations, IS research on sociomateriality does not account for role of the individual and the "self". Enactive approaches to cognition are...
The ability to generate business-relevant information from data and to exploit it to improve business processes, decision-making, products, and services (business analytics) is a key success factor for businesses today. Answering the call for further research on success-relevant practices and instruments for managing business analytics, we report o...
The question of how to increase speed and flexibility in times of digital disruption is essential to almost any company. While previous research mainly addresses agility in the context of information systems development, as form for organizing startups or "born digital" companies, little knowledge exists about the adoption of agile practices and st...
New digital services and products rely heavily on digital technologies and need to be deployed in an ever-shorter timeframe in response to rapidly changing market demands. To address this challenge, companies review their sourcing strategies to shorten tender duration for large-scale IT initiatives and to increase flexibility in contracting of IT s...
Die Digitalisierung hat die Versicherungsindustrie erreicht. Der rasante Anstieg an InsurTech Innovationen bringt digitale Geschäftsmodelle, Strategien, Produkte und Dienstleistungen in eine Industrie in der vielen Unternehmen der Wechsel ins digitale Zeitalter noch bevorsteht. Entsprechend groß ist die Relevanz zur Klärung der Frage wie sich die W...
Digital and agile companies widely use chatbots in the form of integrations into enterprise messengers such as Slack and Microsoft Teams. However, there is a lack of empirical evidence about their action possibilities (i.e., affordances), for example, to link social interactions with third-party systems and processes. Therefore, we adopt a three-st...
The ability to generate business-relevant information and its use for business process improvements is a key success factor for businesses today. Answering the call for further research on success-relevant practices and instruments for managing business analytics, we report on the results of a three-year action design research project at a global c...
The question of how to increase speed and flexibility in times of digital disruption is essential to almost any company. While previous research mainly addresses agility in the context of software development, as form for organizing startups or "born digital" companies, little knowledge exists about agility at enterprises. With an exploratory study...
The ability to generate business-relevant information and use it to improve business processes is a fundamental lever to achieve competitive advantages and to increase organizational performance today. The increasing relevance of analysis activities goes along with a rising number of data analytics providers, which help companies to implement their...
Recent developments in the insurance industry embrace various “Insurance Technology” (InsurTech) innovations. To date, there is a lack of structured assessments of InsurTech. Prior research on FinTech fails (1) to clarify how InsurTech can be characterized and what capabilities are employed, and hence, (2) to reveal implications for value creation...
The pervasive infiltration of digital technology into physical products brings both tremendous challenges and opportunities to original equipment manufacturers. With the goal to support the initial stages of the product lifecycle, this article introduces a method compendium for the development of digitised products. More precisely, the compendium s...
Die digitale Überwachung von Maschinen und Anlagen bietet Maschinenherstellern neue Möglichkeiten Instandhaltungs- und Gewährleistungskosten zu reduzieren und datengetriebene Dienstleistungen anzubieten. Cloud-Technologien können hier als Enabler dienen, um zunächst in einem ‚Single Point of Truth‘ operative Daten aus Maschinen zu speichern und dar...
“Understanding the value and organizational implications of big data analytics: the case of AUDI AG” presents the case of AUDI AG and its attempts to implement big data analytics in its organization. The case highlights the situation of an original equipment manufacturer (OEM) in the automotive industry and the potentials and challenges the emergin...
Zusammenfassung
Für produzierende Unternehmen hat sich Product Lifecycle Management in den letzten Jahrzehnten in wachsendem Maße zu einem strategisch wichtigen Ansatz entwickelt. Forciert durch steigende Effektivitäts- und Effizienzanforderungen stellen viele Unternehmen ihre Product Lifecycle Management-Prozesse und -Informationssysteme auf den P...
The pervasive infiltration of digital technology into physical products brings both tremendous challenges and opportunities to original equipment manufacturers. With the goal to support the initial stages of the product lifecycle, this article introduces a method compendium for the development of digitised products. More precisely, the compendium s...
“Understanding the Value and Organizational Implications of Big Data Analytics – The Case of AUDI AG” presents the case of Audi AG and its attempts to implement big data analytics in its organization. The case highlights the situation of an original equipment manufacturer (OEM) in the automotive industry and the potentials and challenges the emergi...
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Big data analytics is becoming a veritable source of competitive advantage as it helps
companies to better understand their business environment and to create or improve
their products and services accordingly. However, big data analytics also poses
challenges to organizations with respect to establishing the required capabilities.
Building upon a...
Digital transformation, which often includes establishing big data analytics capabilities poses considerable challenges for traditional manufacturing organizations, such as car companies. Successfully introducing big data analytics requires substantial organizational transformation and new organizational structures and business processes. Based on...
Zusammenfassung
Die digitale Überwachung von Maschinen und Anlagen bietet Maschinenherstellern neue Möglichkeiten Instandhaltungs- und Gewährleistungskosten zu reduzieren und datengetriebene Dienstleistungen anzubieten. Cloud-Technologien können hier als Enabler dienen, um zunächst in einem ‚Single Point of Truth‘ operative Daten aus Maschinen zu s...