Objective: To annotate a corpus of randomized controlled trial (RCT) publications with the checklist items of CONSORT reporting guidelines and using the corpus to develop text mining methods for RCT appraisal. Methods: We annotated a corpus of 50 RCT articles at the sentence level using 37 fine-grained CONSORT checklist items. A subset (31 articles) was double-annotated and adjudicated, while 19 were annotated by a single annotator and reconciled by another. We calculated inter-annotator agreement at the article and section level using MASI (Measuring Agreement on Set-Valued Items) and at the CONSORT item level using Krippendorff's α. We experimented with two rule-based methods (phrase-based and section header-based) and two supervised learning approaches (support vector machine and BioBERT-based neural network classifiers), for recognizing 17 methodology-related items in the RCT Methods sections. Results: We created CONSORT-TM consisting of 10,709 sentences, 4,845 (45%) of which were annotated with 5,246 labels. A median of 28 CONSORT items (out of possible 37) were annotated per article. Agreement was moderate at the article and section levels (average MASI: 0.60 and 0.64, respectively). Agreement varied considerably among individual checklist items (Krippendorff's α= 0.06–0.96). The model based on BioBERT performed best overall for recognizing methodology-related items (micro-precision: 0.82, micro-recall: 0.63, micro-F1: 0.71). Combining models using majority vote and label aggregation further improved precision and recall, respectively. Conclusion: Our annotated corpus, CONSORT-TM, contains more fine-grained information than earlier RCT corpora. Low frequency of some CONSORT items made it difficult to train effective text mining models to recognize them. For the items commonly reported, CONSORT-TM can serve as a testbed for text mining methods that assess RCT transparency, rigor, and reliability, and support methods for peer review and authoring assistance. Minor modifications to the annotation scheme and a larger corpus could facilitate improved text mining models. CONSORT-TM is publicly available at https://github.com/kilicogluh/CONSORT-TM.
Purpose – The purpose of this paper is to assess the sustainability reporting practices of oil and gas (O&G) companies and the integration of sustainability in the management of their supply chain. Design/methodology/approach – A content analysis of sustainability report of 30 companies was conducted based on the Pacific Sustainability Index that contains 21 topics on social and environmental reporting. An analysis was also conducted on supply chain management (SCM) topics related to supplier management, product stewardship and logistics management. Findings – There is inconsistency in the sustainability reporting practices among the O&G companies studied. While 63 percent of the companies expressed higher environmental intent compared to social intent, their reporting of environmental performance is lagging behind social performance reporting. There is also a lack of supply chain indicators in the sustainability reporting guidelines. This affects the companies ability to report their supply chain practices objectively. Practical implications – The findings of this study can be used as a guideline to improve the sustainability reporting practices and to identify relevant supply chain indicators that can be incorporated in a sustainability reporting index. Originality/value – There is a lack of research on sustainability reporting practices in the O&G industry context, especially in terms of SCM. Previous studies focussed on companies in specific countries and/or do not incorporate all sustainability dimensions, namely, economic, environmental and social factor. We think that this is the first comprehensive study on the sustainability reporting practices and the integration of sustainability in SCM in the O&G industry.
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Steeds meer bedrijven publiceren naast hun financieel jaarverslag een integrated report, waarin naast financiële waarde ook over maatschappelijke waarden wordt gerapporteerd. Uit een rapport van KPMG (2017) blijkt dat 93% van de grootste bedrijven van de wereld een integrated report publiceert. Met de opkomst van integrated reporting is hier echter ook de nodige kritiek op ontstaan. Zo zouden bedrijven het integrated report vooral gebruiken om zich duurzamer voor te doen dan ze daadwerkelijk zijn (‘greenwashing’). In dit artikel wordt een analyse van de Triple Depreciation Line (TDL) beschreven. De TDL is een raamwerk, waarmee in potentie (voor een deel) tegemoet wordt gekomen aan de huidige kritiek op integrated reporting zoals bijvoorbeeld ‘greenwashing’. In dit artikel concluderen wij dat de TDL in zijn huidige opzet in de praktijk moeilijk toepasbaar is en doen wij aanbevelingen voor een meer praktische toepassing van dit raamwerk. Dit leidt tot een aangepast TDL-raamwerk, waarbij wij beargumenteren dat de toepassing van dit aangepaste raamwerk de potentie heeft om de transitie naar een duurzame economie aanzienlijk te versnellen.
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Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to collect, manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. Participants in the interviews that we organized preparing this proposal indicated a need for guidance on how to develop DAC within their organization given their unique context (e.g. age and experience of the workforce, presence of legacy systems, high daily workload, lack of knowledge of digitalization). While a lot of attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC. From a structure perspective, the objective of the KIEM proposal will be to explore and solidify the partnership between Breda University of Applied Sciences (BUas), Avans University of Applied Sciences (Avans), Logistics Community Brabant (LCB), van Berkel Logistics BV, Smink Group BV, and iValueImprovement BV. This partnership will be used to develop the preliminary roadmap and pre-test it using action methodology. The action research protocol and preliminary roadmap thereby developed in this KIEM project will form the basis for a subsequent RAAK proposal.
Digital transformation has been recognized for its potential to contribute to sustainability goals. It requires companies to develop their Data Analytic Capability (DAC), defined as their ability to manage and analyze data effectively. Despite the governmental efforts to promote digitalization, there seems to be a knowledge gap on how to proceed, with 37% of Dutch SMEs reporting a lack of knowledge, and 33% reporting a lack of support in developing DAC. While extensive attention has been given to the technological aspects of DAC, the people, process, and organizational culture aspects are as important, requiring a comprehensive approach and thus a bundling of knowledge from different expertise. Therefore, the objective of this KIEM proposal is to identify organizational enablers and inhibitors of DAC through a series of interviews and case studies, and use these to formulate a preliminary roadmap to DAC.
CSRD staat voor Corporate Sustainability Reporting Directive. Via deze nieuwe wet- en regelgeving moeten bedrijven duurzaamheidsgegevens opnemen in hun jaarverslag onder andere vanuit de keten. Accountants dienen deze vervolgens te voorzien van een accountantsverklaring. Vanuit de bloembollen- en knollensector (in opdracht van de stichting Sustainable Suppliers; vertegenwoordigt 80% sector voor de droogverkoop) is er een CSRD-consortium opgericht met kernteamleden uit de keten. Royal Anthos (de brancheorganisatie voor de handel bloembollen en knollen) heeft de lead om met het consortium de toepassing van de CSRD te onderzoeken. Verwacht wordt dat een beperkt aantal bedrijven en afnemers van handelsbedrijven (vaak retailers) rapportageplichtig zullen zijn en de nodige duurzaamheidsinformatie zullen opvragen uit de keten. Tijdens de eerste CSRD-exploratie sessies kwamen vragen naar voren zoals: Kunnen producenten in de keten de data leveren? Wat wordt er van ze verwacht? Deze vragen zijn zeer geschikt om in een KIEM-aanvraag te onderzoeken, met als hoofdonderzoeksvraag: “Hoe beschikbaar en geschikt is de CSRD-data binnen de bloembollen- en knollensector bij leveranciers?”, en deelvragen: a) Welke eisen stellen afnemers aan producenten? b) In hoeverre voldoen de producenten aan de eisen? c) Hoe kunnen producenten voldoen aan deze nieuwe informatievraag? d) Welke inspanningen zijn nodig om ontbrekende data te verkrijgen? e) Welke rol hee^ bestaande certificering in de informatiebehoefte? De beoogde projectresultaten zijn: o Website CSRD Q&A bollensector: o Welke CSRD-informatie is voorhanden en wat niet (de GAP)? o Mogelijke acties om de GAP te verkleinen (laaghangend fruit) o Masterclass praktisch omgaan met CSRD (wordt omgezet naar een webinar) o Ontwikkelen van een vaktechnische publicatie en of wetenschappelijke publicatie Het KIEM-project wordt geleid en uitgevoerd door het Yuverta practoraat Circulaire Agribusiness waarin wordt samengewerkt met het Hogeschool Arnhem Nijmegen lectoraat Futureproof Control (gespecialiseerd op CSRD en reporting).