A Framework Supporting Supply Chain Complexity and Confidentiality Using Process Mining and Auto Identification Technology

Lamghari, Zineb; Radgui, Maryam; Saidi, Rajaa; Rahmani, Moulay Driss

doi:10.1007/978-3-030-36778-7_39

Cited by 2 publications

(11 citation statements)

References 25 publications

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“…Confidentiality refers to preventing secret information from one organization from being accessed by unauthorized third parties. For example, “with the increasing number of participants in supply chain business processes […], it is important to secure data, where it will be only accessible to authorized persons” (Lamghari et al. , 2020).…”

Section: Resultsmentioning

confidence: 99%

“…. ], it is important to secure data, where it will be only accessible to authorized persons" (Lamghari et al, 2020). Data integrity ensures that the data are not modified unauthorizedly.…”

Section: Data Get Access To Distributed Datamentioning

confidence: 99%

“…Merge intraorganizational process models "Although, the construction of supply chain wide processes poses a real challenge of complexity." Lamghari et al, 2020 Supply chain-wide processes pose a complexity challenge "Although there are some proposals that also evaluate compliance violations over process execution traces from the event log, there are some extra challenges regarding inter-organizational collaborative processes. For instance, process traces are more complex to build into the event log, since different parts of the process execute in different organizations.…”

Section: Appendixmentioning

confidence: 99%

“…Globalization and digital transformation, however, marked a paradigm shift in how organizations run their operations (Mendling et al, 2020). Value chains are increasingly going beyond the boundaries of a single firm, for example, to efficiently produce and deliver products in supply chains (Lamghari et al, 2020). Hence, an organization is only responsible for certain parts of the overall process and does not have access to all the process data, as the information exchange is hampered by specific barriers, for example, a lack of trust, incompatible Information Technology (IT) systems or a lack of interest alignment (Beynon-Davies and Wang, 2019;Engel et al, 2013b;Ghosh and Fedorowicz, 2005) but also a lack of awareness about the optimization potential.…”

Section: Introductionmentioning

confidence: 99%

“…Aksu et al (2016),Aouachria et al (2017),Gerke et al (2009b),Jacobi et al (2020),Lamghari et al (2020),Maruster et al (2003),Morales-Sandoval et al (2021),Rafiei and Van Der Aalst (2023),Talamo et al (2015),van der Aalst (2011bvan der Aalst ( , 2021 Encounter distributed knowledge and controlAouachria et al (2017), Corradini et al (2022), Hernandez-Resendiz et al (2021), Partington et al (2015), Rafiei and Van Der Aalst (2023), van der Aalst (2010), van der Aalst et al (2012) Merge intraorganizational process models Aksu et al (2016), Claes and Poels (2014), D'Iddio et al (2016a, b), Deokar and Tao (2020), Elkoumy et al (2020a, b), Engel et al (2016), Hernandez-Resendiz et al (2021), Jacobi et al (2020), Khan et al (2021), Liu et al (2019), Partington et al (2015), Rozsnyai et al (2012), T€ onnissen and Teuteberg (2019), van der Aalst (2010), van der Aalst (2011b), van der Aalst et al (2012), Zeng et al (2013)Get access to distributed dataData (The data for cross-organizational PM is usually distributed and therefore has to be collected from multiple organizations. This requires access to the data and causes further challenges in the form of varying data granularity, quality and structure.…”

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confidence: 99%

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Laying the ground for future cross-organizational process mining research and application: a literature review

Rott,

Böhm,

Krcmar

2024

BPMJ

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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/valueThis 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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Section: Resultsmentioning

confidence: 99%

“…. ], it is important to secure data, where it will be only accessible to authorized persons" (Lamghari et al, 2020). Data integrity ensures that the data are not modified unauthorizedly.…”

Section: Data Get Access To Distributed Datamentioning

confidence: 99%

Section: Appendixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Laying the ground for future cross-organizational process mining research and application: a literature review

Rott,

Böhm,

Krcmar

2024

BPMJ

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Mining Self-Defined Business Process in Electronic Administration

Lamghari

Saidi

Radgui

et al. 2022

International Journal of E-Services and Mobile Applications

Self Cite

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The information retrieval system is a set of resources and tools that allow users to search for information in a given domain. This system permits users to perform their research according to their objectives in diverse ways producing different behaviors. Even users with the same objective may follow different paths and stand different sub-processes, which are introduced as self-defined Business Processes that vary in terms of structure, objective, and result. This puts forward the difficulty of obtaining and studying these user’s behaviors. This paper targets the problem of representing and managing self-defined business process variability. A special interest is given to the use of process mining to deal with this challenge. In this regard, a case study about citizens in interaction with the Electronic Administration is presented, to discover and manage variability of this process type. The main result is a set of recommendations to end users.

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A Framework Supporting Supply Chain Complexity and Confidentiality Using Process Mining and Auto Identification Technology

Cited by 2 publications

References 25 publications

Laying the ground for future cross-organizational process mining research and application: a literature review

Laying the ground for future cross-organizational process mining research and application: a literature review

Mining Self-Defined Business Process in Electronic Administration

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