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16 result(s) for "Ahlemann, Frederik"
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Building the Smart City of Tomorrow: A Bibliometric Analysis of Artificial Intelligence in Urbanization
Urbanization is a global trend that continues to grow, leading to an increasing number of people to live in cities. This rapid expansion creates challenges such as traffic congestion, environmental pollution, and the need to ensure high living standards for all residents. To address these challenges, many cities adopt digital technologies to become smarter, more efficient, and more sustainable. Among these technologies, artificial intelligence (AI) has gained significant attention in recent years due to its transformative potential. In the context of smart cities, AI offers innovative solutions across various domains, including mobility, waste management, and energy optimization. Due to its multidisciplinary nature and rapid advancements, research on AI in smart cities has grown significantly. A comprehensive approach is needed to understand its role in urban transformation and identify key research gaps. This paper aims to synthesize existing knowledge on AI in smart cities, providing valuable insights for both researchers and practitioners. We define the scope of AI-related research by analyzing scientific literature and offer three main contributions. First, we provide a holistic overview of the field by conducting a bibliometric analysis to map the status and structure of existing knowledge. Second, we identify major research themes through co-citation clustering. Third, we outline a future research agenda by analyzing the most recent and influential journal articles. Our findings have both theoretical and practical implications for a wide range of disciplines, including computer science, energy, transportation, and security. Furthermore, our results can facilitate collaboration by identifying leading researchers and institutions, highlight critical research gaps, and foster discussions on the benefits and challenges of AI-driven smart city solutions.
Making Sense of Projects—Developing Project Portfolio Management Capabilities
Project management and project portfolio management (PPM) foster competitiveness by facilitating the implementation of organizational strategy. Although organizations often struggle to develop PPM capabilities, the academic community does not have an in-depth understanding of the conditions for successfully developing these capabilities. In response, we conducted a multiple-case study with 50 interviewees to develop a theoretical model of the PPM capability-building process. This model is built on the notion of organizational sensemaking and identifies aspects that comprehensively explain why it usually takes so long to develop PPM capabilities. We conceptualize the PPM capability-building process as one that is strongly influenced by (1) the effects of structural rearrangements, (2) the appropriate use of external resources during that process, (3) the role of executive support and legitimization, (4) episodes of regression, and (5) the need for internalization and habitualization. In addition, we provide starting points for explaining organizational capability building in more general terms.
Blockchain for Smart Mobility—Literature Review and Future Research Agenda
Today’s cities face numerous challenges due to climate change and urbanization. The concept of a smart city aims to help cities to address these challenges by adapting modern information and communication technology. Smart mobility and transportation form one important aspect of smart cities. Inefficient mobility in cities can lead to problems such as traffic congestion, which results in frustration for residents and a decrease in the quality of life. Against the backdrop of global warming, cities also strive to reduce CO2 emissions, an attempt which requires sustainable and novel mobility concepts. Blockchain is a current technology, said to have huge potential, that is being investigated for application in many facets of smart cities. In the context of smart mobility, blockchain can be used for transactions relating to ridesharing and electric charging, handling of interactions of platoon members, or serving as a foundation for communication between vehicles. Although initial research about this topic exists, it is distributed among different use-cases and applications. This article conducts a systematic literature review to analyze blockchain’s role in mobility and transportation in smart cities, and its potential to increase efficiency in these areas. With this review, we aim to consolidate and summarize the current knowledge about this topic. As a first result, we present the findings from our literature review, which can be divided into five categories of use-cases. We also present a platform for further research about this emerging topic by identifying promising future research avenues. For this purpose, we derive a future research agenda based on our findings.
Business Value through Controlled IT: Toward An Integrated Model of IT Governance Success and Its Impact
Owing to increasing regulatory pressure and the need for aligned information technology (IT) decisions at the interface of business and IT, IT governance (ITG) has become important in both academia and practice. However, knowledge of integrating the determinants and consequences of ITG success remains scarce. Although some studies investigate individual aspects of ITG success and its impact, none combine these factors into a comprehensive and integrated model that would lead to a more complete understanding of the ITG concept. To address this gap, our research aims at understanding what factors influence and result from successful ITG, and at determining how they can be translated into a model to explain ITG success and the impact thereof. Therefore, we conducted interviews with 28 IT decision makers in 19 multinational organizations headquartered in Europe. Our study synthesizes the fragmented previous research, provides new empirical insights gathered on the basis of a clear ITG conceptualization, and suggests three innovative constructs heretofore not related to ITG. Moreover, we elucidate in a holistic model the factors that make ITG successful, how ITG contributes to an IT organization's success, and how it eventually unfolds throughout the overall organization. The resulting model allows organizational decision makers to develop an effective ITG implementation and to explain the implications of successful ITG, thus providing a justification for the respective investments.
The Impact of Digitalization on the IT Department
In the digital age, innovative technologies such as social media, mobile computing, data analytics, cloud computing, internet of things (SMACIT), and more recently blockchain, artificial intelligence, and virtual reality significantly influence work processes, products, services, and business models. Digitalization has therefore increased the importance of information technology (IT), and it has transformed the demands placed on organizations’ IT functions. The business activity does not only become more efficient, but it is also no longer imaginable without IT. Since information technologies are now applied to realize innovations for businesses—something that will increase in the future—IT functions are required to cooperate proactively and early on with business departments to be able to develop and implement such innovations jointly. Besides ensuring regular IT operations, IT functions are increasingly required to identify technological innovations proactively and rapidly transfer them into marketable solutions, thereby directly contributing to the company’s central value proposition (Urbach et al. 2017).
Managing In-Company IT Standardization: A Design Theory
Today’s companies rely heavily on in-company information technology standards (ICITS) to reduce costs, ensure flexibility, and facilitate the planning, implementation, and operation of IT systems. Steering and managing ICITS has proven to be challenging, revealing the need for efficient governance mechanisms. But even though prior research demonstrates the challenges of ICITS, viable advice on how to implement ICITS is scarce. In this paper, we develop an organizational design theory for the management of ICITS based on the framework of organizational control theory. We conducted a critical case study to identify basic goals, constitutive elements, and fundamental mechanisms of a working ICITS management. The resulting design goals and principles were then evaluated and further refined in the light of additional expert interviews. With our work, we wish to extend the body of theoretical knowledge on the management of ICITS and help practitioners master the various challenges occurring in this domain.
Artificial intelligence for wildfire detection and management
Motivated by the historical use and increasing relevance of artificial intelligence (AI) in wildfire management, this study reviews the role of AI in wildfire management through a bibliometric study using a dataset of 1,985 peer-reviewed publications sourced from Scopus. The analysis identifies four thematic clusters: (1) geospatial and climatic analysis of wildfires using remote sensing and prediction, (2) technological and algorithmic advancements for wildfire detection and monitoring, (3) machine learning–driven wildfire prediction, risk assessment, and behavior modeling. Our findings show a multidisciplinary and application-oriented research field with increasing relevance due to climate change and escalating fire events. Based on our findings, we propose future research directions, including multimodal data integration, explainable AI, and real-time human-AI collaboration. This study contributes to a systematic understanding of current AI approaches in wildfire research and supports the development of a targeted research agenda for advancing technological and scientific responses to wildland fire challenges.