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Current methodologies for Information Systems (ISs) audits suffer from some limitations that could question the effectiveness of such procedures in detecting deviations, frauds, or abuses. Process Mining (PM), a set of businessprocess-related diagnostic and improvement techniques, can tackle these weaknesses, but literature lacks contributions that address this possibility concretely. Thus, by framing PM as an Expert System (ES) engine, this paper presents a five-step PM-based methodology for IS audits and validates it through a case in a freight export port process managed by a Port Community System (PCS), an open electronic platform enabling information exchange among port stakeholders. The validation pointed out some advantages (e.g. depth of analysis, easier automation, less invasiveness) of our PMenabled methodology over extant ESs and tools for IS audit. The substantive test and the check on the PCS processing controls and output controls allowed to identify four major non-conformances likely implying both legal and operational risks, and two unforeseen process deviations that were not known by the port authority, but that could improve the flexibility of the process. These outcomes set the stage for an export process reengineering, and for revising the boundaries in the process flow of the PCS.

The circular economy (CE) is arising as a novel economic system that is restorative by design. In light of its capability to boost sustainable economic development and to cope with environmental challenges, it has recently attracted increasing attention from academics, practitioners, policymakers, and intergovernmental organizations. Despite the wide speculation on this issue, the scientific literature lacks a wide-ranging, systematic, and updated identification and classification of the main drivers and Critical Success Factors of CE initiatives, which appears increasingly necessary to facilitate future scientific work, practical implementations, and policy guidelines. With this aim, this paper develops a systematic literature review by starting with over 400 manuscripts. A final set of 55 selected papers was selected for singling out and classifying drivers and Critical Success Factors in the CE context. The results may provide clear indications for further research, may help business organizations in evaluating CE initiatives, and may guide policy makers in developing and refining CE normative frameworks.

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PurposeThe evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).Design/methodology/approachThis paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).FindingsThe findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.Originality/valueThe proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.