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1 – 2 of 2Giulio Bertoluzza, Stella Volturo and Antonella Meo
This article challenges the prevailing view that a minimum income for the poor is only relevant to basic needs. It contributes to the discussion on the meanings of money by…
Abstract
Purpose
This article challenges the prevailing view that a minimum income for the poor is only relevant to basic needs. It contributes to the discussion on the meanings of money by specifically focusing on the Italian Citizenship Income scheme as a case study.
Design/methodology/approach
A qualitative research design was developed and implemented in four regions of northern Italy. The analysis is based on 131 in-depth interviews with minimum income recipients.
Findings
The empirical analysis shows that money transfer has various meanings. Four dimensions are identified: functional, relational, protective, and emancipatory. The first two are connected to spending, while the latter two are related to self-identity. Although the four dimensions may overlap and coexist in the daily lives of minimum income beneficiaries, they are distinguished for analytical purposes.
Originality/value
The article presents a comprehensive analysis of the multiple meanings that minimum income can have for beneficiaries; meanings which are often not explicitly addressed in social policy studies. It goes beyond the equally important consideration of material needs by adding other meaningful aspects. This approach makes a different way of looking at cash transfers possible, and it provides elements useful for the design and analysis of minimum income policies.
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Julian Rott, Markus Böhm and Helmut Krcmar
Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational…
Abstract
Purpose
Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.
Design/methodology/approach
We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.
Findings
Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.
Originality/value
This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.
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