Many organizations have undergone substantial reorganization in the last decade. They re-engineered their business processes and exchanged proprietary, not integrated applications for more standard solutions. Integration of structured data in relational data bases has improved documentation of business transactions and increased data quality. But almost 90% of the information that organizations manage is unstructured, can not easily be integrated into a traditional database. Just like structured data, unstructured information in organizations are records, meant and used as evidence for organizational actions and transactions. Governments, courts and other stakeholders are making increasing demands for the trustworthiness of records. This is part of a long-term trend toward defining what accountability means in a digital era. An analysis of literature of information science, organization science and archival science illustrates that for accountability, reconstruction of the past is essential. Hypothesis of this paper is that for the reconstruction of the past each organization needs (at least) a combination of three mechanisms: enterprise records management, organizational memory and records auditing. Enterprise records management ensures that records meet the for accountability necessary quality requirements: integrity, authenticity, controllability and historicity. These requirements ensure records that can be trusted. Trusted records enhance the possibility of reconstructing the past. The organizational memory ensures that trusted records are preserved for as long as is necessary to comply to accountability regulations. It provides an information and communication technology infrastructure to (indefinitely) store those records and to keep them accessible. Records auditing audits enterprise records management and organizational memory to assess the possibility to reconstruct past organizational actions and transactions. These mechanisms ensure that organizations have a documented understanding of: the processing of actions and transactions within business processes; the dissemination of trusted records; the way the organization accounts for the actions and transactions within its business processes; and the reconstruction of actions and transactions from business processes over time. This understanding is important for the reconstruction of the past in digitized organizations and improve organizational accountability.
This article will discuss philosophical debates on economic growth and environmental sustainability, the role of management responsibility, and the risk of subversion to business as usual. This discussion will be framed using the concepts of Cradle to Cradle (C2C) and Circular Economy about sustainable production. The case study illustrating the danger of subversion of these progressive models discussed here is based on the assignments submitted by Masters students as part of a course related to sustainable production and consumption at Leiden University. The evaluation of the supposedly best practice cases placed on the website of the Ellen MacArthur Foundation or those awarded Cradle to Cradle certificate has led some students to conclude that these cases illustrated green-washing. Larger implications of identified cases of green-washing for the field of sustainable business and ecological management are discussed. “This is a post-peer-review, pre-copyedit version of an article published in 'Philosophy of Management'. The final authenticated version is available online at: https://doi.org/10.1007/s40926-019-00108-x LinkedIn: https://www.linkedin.com/in/helenkopnina/
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We live in a world of glowing rectangles. Our devices emit a bluish light, akin to that from the cerulean sky. Even when they sleep, computers softly pulse tiny LEDs on and off, making their presence known through light. And where they were once uniformly black and dark gray, devices are now white, shiny, and reflective: they add light not just by emitting it, but by reflecting it. The airbrushed aluminium of Macintosh computers has a luminous flux that ranks higher on light meters than pure, snowy white.
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