Building Climate Resilience in Smart Cities Using Open Data Services

2023 | HICSS | Citations: 0

Authors: Ahdekivi, V.; Ghanbari, H.; Rossi, M.

Abstract: Climate change and its consequences are among modern societies' most critical c ... Expand

Abstract: Climate change and its consequences are among modern societies' most critical challenges. To that end, cities have focused on using information technology in their climate mitigation efforts in smart cities. Considering the magnitude of the problem and its impact on our societies, the need for building climate-resilient smart cities is crucial. In this study, we aim to understand how smart cities can achieve climate resilience. Conducting an exploratory field study and using the urban climate resilience framework as a theoretical lens, we suggest that smart cities can leverage the potential of open data and citizen engagement to reach climate resilience. In particular, our results show that building climateresilient cities requires structural changes in citizen engagement processes and climate considerations. To that end, open data services and tools can be used to improve citizen engagement processes and develop more sustainable smart city solutions. Collapse

Topics: smart city open data climate change digital dashboard crowdsourcing

Methods: qualitative interview field study qualitative content analysis personal interview qualitative coding

Smart Parking Systems and their Impact on the Efficiency of Parking Officers

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Ahmad, Alharbi,; Dincelli, Ersin

Abstract: The adoption of smart city technology has become increasingly popular in cities ... Expand

Abstract: The adoption of smart city technology has become increasingly popular in cities around the world. Internet of Things (IoT) devices, such as smart sensors, traffic lights and parking meters, are utilized in collecting and analyzing valuable data to improve the efficiency of critical infrastructure and enhance the quality of life for citizens. To increase the efficiency of its parking officers, the City of Los Angeles implemented a smart parking system on its streets in 2011. Utilizing transaction cost economics (TCE), we analyzed the number of parking citations in Los Angeles between 2015 and 2019 to examine the impact of smart parking meters on the parking officers' efficiency. We hypothesized that smart parking meters and time limit policies, defined as the allowed parking duration, positively affect the number of parking citations. To test our hypothesis, we used a fixed-effect estimation model. Our results indicate that smart parking meters and time limit policies have positive effects on the number of parking citations, leading to an improvement in the efficiency of parking officers. We discussed the theoretical and practical implications of these findings for implementing IoT projects in the public sector. Collapse

Topics: mobile system internet of things website open data

Methods: regression analysis method statistical hypothesis test

Theories: transaction cost economics

Towards Open Data Impact Evaluation Framework - An Empirical Analysis of the Demand-side Response

2023 | HICSS | Citations: 0

Authors: Ahmadi Zeleti, F.; Kerins, R.; Campbell, H.

Abstract: Open data is widely presumed to have a social, environmental, political, and ec ... Expand

Abstract: Open data is widely presumed to have a social, environmental, political, and economic impact; however, the evidence to that impact has remained scarce. The impacts must be explored and quantified to give a reasonable insight into the supply-side activities and demand-side responses. Collapse

Topics: open data online review data governance societal evaluation criteria decision making

Methods: case study survey survey design product review

Understanding the use of digital technologies in entrepreneurial start-up settings and growth-oriented firms

2023 | International Journal of Information Management | Citations: 0

Authors: Balta, Maria; Spanaki, Konstantina; Papadopoulos, Thanos; Ravishankar, M.N.

Abstract: ... Expand

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Topics: digital transformation open data innovation management cloud computing

Methods: computational algorithm case study

Evaluating a Conversational Agent for Open Government Data Quality Assessment

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Chokki, Abiola Paterne; Clarinval, Antoine; Simonofski, Anthony; Vanderose, Benoît

Abstract: Governments have been publishing Open Government Data (OGD) on online portals t ... Expand

Abstract: Governments have been publishing Open Government Data (OGD) on online portals to encourage the development of value-added services. The success of these services depends heavily on the quality of OGD and its metadata. Several methods have been proposed to evaluate this quality, but some rely on manual assessments, which can be time-consuming and expensive to perform. Furthermore, these methods focus on the portal rather than the data, ignore user preferences, or do not distinguish between metadata and data quality. This makes it difficult for users to identify data quality issues. This paper proposes a list of OGD quality dimensions for assessing data and metadata quality. The dimensions were identified through a literature review and integrated into a novel conversational agent that incorporates user preferences into the quality assessment. A usability evaluation with 14 users reveals its ease of use and usefulness for obtaining overall and detailed (meta)data quality. Collapse

Topics: conversational agent ease of use data quality usability open data

Methods: design artifact survey literature study usability testing chatbot

Theories: technology acceptance model

Future directions for scholarship on data governance, digital innovation, and grand challenges

2023 | Information and Organization | Citations: 0

Authors: Davidson, Elizabeth; Wessel, Lauri; Winter, Jenifer Sunrise; Winter, Susan

Abstract: This introduction to the special issue on Data Governance, Digital Innovation, a ... Expand

Abstract: This introduction to the special issue on Data Governance, Digital Innovation, and Grand Chal­ lenges highlights the importance of data governance when seeking to address grand challenges through the innovative use of digital technologies. The benefits, risks, and consequences of data, ubiquitous in today’s data-rich world, can be harnessed for innovation and societal good. How­ ever, there are no guarantees that (only) desirable outcomes will develop. The creation and exploitation of vast data stockpiles raise substantial concerns about privacy, data security, equity, and the potential for harm from data misuse. Meaningful approaches to data governance within and across organizations are critically important to facilitate digital innovation and to balance social, economic and technical benefits and risks for individuals, organizations, and societies. In this introductory paper, we reflect on foundations established to date in information systems (IS) research and highlight possible future directions for scholarship on data governance across multiple levels to enhance digital innovations for transformation and societal good. Collapse

Topics: data governance digital innovation innovation management IS economics economic surplus

Methods: archival research

Theories: socio technical theory theory of economic development

Identifying governance mechanisms for data sharing in collaborative platform ecosystems

2023 | European Conference On Information Systems | Citations: 0

Authors: Costabile, Carolina; Øvrelid, Egil

Abstract: The fish farming industry is one of the fastest-growing industries and will be ... Expand

Abstract: The fish farming industry is one of the fastest-growing industries and will be one of the most important businesses in the future. However, more salmon than ever died prematurely in Norway in 2021, mainly due to disease and lice treatments. To improve this situation, sharing data related to lice is crucial. However, to facilitate data sharing, a platform for storing data, data comparability, and trustworthy relationships must be secured. Sharing data poses challenges that require proper governance. Based on a longitudinal, qualitative case study of a collaborative platform ecosystem in the Norwegian aquaculture industry, we identify governance mechanisms that enable data sharing and develop a model for the gradual maturation of data sharing. Our insights from a collaborative platform ecosystem within a traditional industry complement the extant research, mainly focused on centralized platform ecosystems. We also provide guidance for practitioners who want to enable data sharing in their ecosystems. Collapse

Topics: digital ecosystem business-to-business business-to-consumer data governance application programming interface

Methods: case study qualitative interview business process modeling longitudinal research archival research

Introduction to the Digital Government and Business Process Management (BPM) minitrack HICSS'56

2023 | HICSS | Citations: 0

Authors: Delgado, A.; Astudillo, H.; García, F.

Abstract: Interoperability is a key challenge for organizations to collaborate with each ... Expand

Abstract: Interoperability is a key challenge for organizations to collaborate with each other and be able to provide high-quality services. Digital Government (e-Government) focuses on value delivery to citizens through information and communication technology (ICT) support for processes, activities, and resources, from different public organizations. Hence, interoperability in the context of e-Government is of critical importance to link and integrate processes and services sharing data from organizations to deliver better public services to citizens. Business Process Management (BPM) provides support for the business processes lifecycle, defining phases and activities to provide services or products with value for end users. Successful inter-organizational collaborative process management within e-Government organizations will lead to better conceptual and technological integration, not only with each other but also with citizens and users in general. To this end, it is necessary to devise new ways to deal with the complexity of e-Government collaborative process. Collapse

Topics: organizational culture open data innovation management digital innovation business process management

Methods: case study business process modeling event log computational algorithm literature study

Is Your Organization Ready to Share? A Framework of Beneficial Conditions for Data Sharing

2023 | International Conference on Information Systems | Citations: 0

Authors: Fassnacht, Marcel; Benz, Carina; Leimstoll, Jannis; Satzger, Gerhard

Abstract: In a constantly evolving digital sphere, surmounting organizational boundaries ... Expand

Abstract: In a constantly evolving digital sphere, surmounting organizational boundaries and sharing data offers the opportunity to realize a multitude of mutual benefits, such as advanced analytics and innovative services. Organizations aspire to share data. However, they struggle to identify and establish beneficial conditions for data sharing, and research still offers little support to exploit the potential of data sharing. We apply an exploratory research approach to develop a framework of beneficial conditions for data sharing. By combining ten expert interviews and a systematic literature review, we aggregate 23 characteristics that constitute beneficial conditions into eight categories and apply and validate the framework in a real-world case. Thus, we contribute to research by providing a fundamental understanding of beneficial conditions for data sharing and a compact target picture. Additionally, we enable practitioners to systematically assess an organization's current condition to set the course toward exploiting the full potential of data sharing. Collapse

Topics: human resource management data governance database system data literacy digital ecosystem

Methods: qualitative interview structured literature research focus group literature study qualitative coding

Theories: theory of everything

THE DATA COLLABORATION CANVAS: A VISUAL FRAMEWORK FOR SYSTEMATICALLY IDENTIFYING AND EVALUATING ORGANIZATIONAL DATA COLLABORATION OPPORTUNITIES

2023 | International Conference on Business Informatics | Citations: 0

Authors: Geppert, Tim; Fuoco, Alice Dal; Leikert-Boehm, Ninja; Deml, Stefan; Sturzenegger, David; Ebert, Nico

Abstract: ... Expand

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Topics: knowledge representation open data innovation management

Methods: qualitative interview ontological modelling personal interview design science action design research