Digital Government and Business Process Management (BPM)

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https://hdl.handle.net/10125/102518

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    Introduction to the Minitrack on Digital Government and Business Process Management (BPM)
    ( 2023-01-03) Delgado, Andrea ; Astudillo, Hernán ; García, Félix
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    Organizational Culture and BPM Ambidexterity in the EU Public Sector: the FADE Model
    ( 2023-01-03) Helbin, Tomasz ; Van Looy, Amy
    Organizational culture plays a paramount role in the success and outcomes of Business Process Management (BPM) initiatives. So far, academic research has primarily focused on the cultural values supporting exploitative BPM, and to a greater extent in the private sector. In this study, we aim to uncover the cultural context in the international public sector, underpinning the explorative dimension of BPM, as well as the necessary capabilities to balance explorative and exploitative process management practices. The latter is defined as BPM ambidexterity. For this purpose, we have conducted case studies in European Union (EU) public sector organizations because this governmental level stimulates digital innovation and is quite varied while not being limited to a single country. Our main contribution is a model of cultural values supporting exploratory BPM, called FADE (i.e., values related to Failure allowance, Agility, Disruptiveness, and Ecosystems).
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    Process Mining for Improving Urban Mobility in Smart Cities: Challenges and Application with Open Data
    ( 2023-01-03) Delgado, Andrea ; Calegari, Daniel
    Urban mobility presents various challenges to favor urban development. These challenges have been traditionally analyzed using transport network optimization and simulation techniques. Nevertheless, it is possible to think of process mining as a complementary approach allowing, among other things, to discover behavioral transportation models, obtain execution measures and detect bottlenecks. The objective of this article is to analyze how suitable PM is for the analysis of urban mobility problems. We use open data from the Metropolitan Transportation System (STM) of Montevideo, Uruguay, which, among other things, provides the ability to record up-to-date information on its transportation network and trips of its citizens. We apply process mining to process discovery, both from buses and their users, and carry out various analyses linking such data with time information, costs, types of users, and city areas.