Business decisions and business logic are an important part of an organization’s daily activities. In the not so near past they were modelled as integrative part of business processes, however, during the last years, they are managed as a separate entity. Still, decisions and underlying business logic often remain a black box. Therefore, the call for transparency increases. Current theory does not provide a measurable and quantitative way to measure transparency for business decisions. This paper extends the understanding of different views on transparency with regards to business decisions and underlying business logic and presents a framework including Key Transparency Indicators (KTI) to measure the transparency of business decisions and business logic. The framework is validated by means of an experiment using case study data. Results show that the framework and KTI’s are useful to measure transparency. Further research will focus on further refinement of the measurements as well as further validation of the current measurements.
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Business decisions and business logic are important organizational assets. As transparency is becoming an increasingly important aspect for organizations, business decisions and underlying business logic, i.e., their business rules, must be implemented, in information systems, in such a way that transparency is guaranteed as much as possible. Based on previous research, in this study, we aim to identify how current design principles for business rules management add value in terms of transparency. To do so, a recently published transparency framework is decomposed into criteria, which are evaluated against the current business rules management principles. This evaluation revealed that eight out of twenty-two design principles do not add value to transparency, which should be taken into account when the goal of an organization is to increase transparency. Future research should focus on how to implement the design principles that add to transparency.
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The presentation offers insights from teachers on four continents (Africa, Asia, Europe, North America) about the benefits of transparency in learning and teaching (TILT) for equitable student success in their diverse contexts.
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From: Handbook of Transnational Economic Governance Regimes edited by Christian Tietje & Alan Brouder, (Martin Luther University of Halle-Wittenberg, Germany), Martinus Nijhoff Publishers, LEIDEN • BOSTON 2009, 1073 pages, Chapter Transparency International by Michel van Hulten, p. 243-252, ISBN 978 90 04 16330 0.. Copyright 2009 by Koninklijke Brill NV, Leiden, the Netherlands.
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Established in 1993, Transparency International (TI) defines itself as “the global civil society organization leading the fight against corruption, that brings people together in a powerful worldwide coalition to end the devastating impact of corruption on men, women and children around the world”. Its stated goal is “to take action to combat corruption and prevent criminal activities arising from corruption so as to help build a world in which Government, politics, business, civil society and the daily lives of people are free of corruption, because of the potential of corruption to undermine economic development, generate poverty, foster political instability and create global insecurity”. TI is politically non-partisan and does not undertake investigations of alleged corruption or expose individual cases. It attempts to combat corruption at the international level, and through its National Chapters at the national level, by raising public awareness of the occurrence and impact of corruption; developing coalitions to address it; developing and disseminating tools to curb it; promoting transparency and accountability in politics and business; monitoring the control of corruption; and supporting institutions and mechanisms to combat it. TI is guided by its Charter; its Statement of Vision, Values and Guiding Principles; a Code of Conduct; and the TI Conflict of Interests Policy. It is registered in Germany as a society (Verein) in the court register of societies (Vereinsregister) of Berlin Charlottenburg. TI’s International Secretariat is located in Berlin.
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Price transparency is an essential precondition torealize careless cross-border charging in Europe.Unfortunately, in many countries price transparency inEV charging is problematic. A lack of transparency canlead to unnecessary high costs of charging for EV driversand makes it difficult to compare the total cost ofownership. Insight into the prices for public charging isa hurdle that has to be overcome for widespreadadoption of EVs. An introductory overview is presentedof the main regulations, challenges and opportunitiesregarding price transparency in important EV marketsacross Europe. This overview is presented to underscorethe importance for the EU to take next steps.
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Calls have been made for improving transparency in conducting and reporting research, improving work climates, and preventing detrimental research practices. To assess attitudes and practices regarding these topics, we sent a survey to authors, reviewers, and editors. We received 3,659 (4.9%) responses out of 74,749 delivered emails. We found no significant differences between authors’, reviewers’, and editors’ attitudes towards transparency in conducting and reporting research, or towards their perceptions of work climates. Undeserved authorship was perceived by all groups as the most prevalent detrimental research practice, while fabrication, falsification, plagiarism, and not citing prior relevant research, were seen as more prevalent by editors than authors or reviewers. Overall, 20% of respondents admitted sacrificing the quality of their publications for quantity, and 14% reported that funders interfered in their study design or reporting. While survey respondents came from 126 different countries, due to the survey’s overall low response rate our results might not necessarily be generalizable. Nevertheless, results indicate that greater involvement of all stakeholders is needed to align actual practices with current recommendations.
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As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative study applies the Artificially Intelligent Device Use Acceptance (AIDUA) model to examine how job applicants perceive and respond to AI-driven hiring. Drawing on semi-structured interviews with 15 professionals, the study explores how social influence, anthropomorphism, and performance expectancy shape applicant acceptance, while concerns about transparency and fairness emerge as key barriers. Participants expressed a strong preference for hybrid AI-human hiring models, emphasizing the importance of explainability and human oversight. The study refines the AIDUA model in the recruitment context and offers practical recommendations for organizations seeking to implement AI ethically and effectively in selection processes.
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Op 1 oktober jl. heeft de Commissie Toekomst Accountancysector (CTA) haar voorlopige bevindingen [12] gepresenteerd in het kader van het door de minister van Financiën ingestelde onderzoek naar de mogelijkheden om de kwaliteit van de wettelijke accountantscontrole duurzaam te verhogen. In deze voorlopige bevindingen, bestaande uit – 348 bullets verdeeld over 101 pagina’s en over 12 hoofdstukken – gaat het veel over kwaliteit en slechts beperkt over transparantie. Het (deel)woord ‘kwaliteit’ komt 402 maal voor. Het woord ‘transparantie’ komt daarentegen slechts 18 maal voor. Op verzoek van de CTA heeft het Erasmus Competition & Regulation institute (ECRi) een literatuurstudie uitgevoerd naar kwaliteitsverbeterende maatregelen in de accountancysector [11]. In deze literatuurstudie komt het woord ‘transparantie’ 10 maal voor (transparency, 2 maal).
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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.
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