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A Systematic Review of Data Quality in CPS and IoT for Industry 4.0
6 references·2 citing·31 second hop
A Systematic Review of Data Quality in CPS and IoT for Industry 4.0 (2023)A Systematic Review of Data Quality in CP…Data Quality Management in the Internet of Things (2021)Data Quality Management in th…Algorithmic bias in data-driven innovation in the age of AI (2021)Algorithmic bias in data-driv…Data quality and the Internet of Things (2019)Data quality and the Internet…Data quality in internet of things: A state-of-the-art survey (2016)Data quality in internet of t…Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Beyond Accuracy: What Data Qu…The Structure of Scientific Revolutions (1964)The Structure of Scientific R…Big Data Governance Challenges Arising From Data Generated by Intelligent Systems Technologies: A Systematic Literature Review (2025)Big Data Governance Challenge…Implementation path and reference model for Multilateral Data Circulation System (MDCS) in Datacentric Product-Service System (DPSS): from an industrial practice survey (2024)Implementation path and refer…Out of the Crisis (1982)Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation (1991)Information Systems Success: The Quest for the Dependent Variable (1992)Data quality in context (1997)Development of a Tool for Measuring and Analyzing Computer User Satisfaction (1983)Data fusion (2009)The value of online surveys: a look back and a look ahead (2018)Impact of IoT challenges and risks for SCM (2019)Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM (2020)International Organization for Standardization (2011)Disruptive technologies: Advances that will transform life, business, and the global economy (2013)Understanding the differences across data quality classifications: a literature review and guidelines for future research (2021)A Framework for Current and New Data Quality Dimensions: An Overview (2024)Dynamic capabilities: what are they? (2000)Using thematic analysis in psychology (2006)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Ethical framework for Artificial Intelligence and Digital technologies (2021)Corporate Digital Responsibility in Service Firms and Their Ecosystems (2022)Thinking responsibly about responsible AI and ‘the dark side’ of AI (2022)AIMQ: a methodology for information quality assessment (2002)Data quality assessment (2002)Development and evaluation of Artificial Intelligence techniques for IoT data quality assessment and curation (2023)Clarifying the concept of product–service system (2002)Product-services as a research field: past, present and future. Reflections from a decade of research (2006)The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences (2014)Data governance: Organizing data for trustworthy Artificial Intelligence (2020)Emerging models of data governance in the age of datafication (2020)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Against ‘Normal Science’ (1970)Marketing, Scientific Progress, and Scientific Method (1983)Tourism and Post-Disciplinary Enquiry (2006)
this work references cited by second hop

References

  • 1996Beyond Accuracy: What Data Quality Means to Data Consumers4,663 cited
  • 2021Algorithmic bias in data-driven innovation in the age of AI438 cited
  • 2016Data quality in internet of things: A state-of-the-art survey377 cited
  • 1964The Structure of Scientific Revolutions274 cited
  • 2021Data Quality Management in the Internet of Things76 cited
  • 2019Data quality and the Internet of Things71 cited

Cited by

  • 2025Big Data Governance Challenges Arising From Data Generated by Intelligent Systems Technologies: A Systematic Literature Review28 cited
  • 2024Implementation path and reference model for Multilateral Data Circulation System (MDCS) in Datacentric Product-Service System (DPSS): from an industrial practice survey6 cited

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