Corporate Data Ethics: Data Governance Transformations for the Age of Advanced Analytics and AI

Author(s):  
Dennis Hirsch ◽  
Tim Bartley ◽  
Aravind Chandrasekaran ◽  
Srinivasan Parthasarathy ◽  
Piers Turner ◽  
...  
2020 ◽  
Author(s):  
Dennis Hirsch ◽  
Tim Bartley ◽  
Aravind Chandrasekaran ◽  
Davon Norris ◽  
Srinivasan Parthasarathy ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anca C. Yallop ◽  
Oana A. Gică ◽  
Ovidiu I. Moisescu ◽  
Monica M. Coroș ◽  
Hugues Séraphin

Purpose Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions. Particularly in times of crisis and uncertainty data analytics supports THOs to acquire the knowledge needed to ensure business continuity and the rebuild of tourism and hospitality sectors. Despite being recognised as an important source of value creation, big data and digital technologies raise ethical, privacy and security concerns. This paper aims to suggest a framework for ethical data management in tourism and hospitality designed to facilitate and promote effective data governance practices. Design/methodology/approach The paper adopts an organisational and stakeholder perspective through a scoping review of the literature to provide an overview of an under-researched topic and to guide further research in data ethics and data governance. Findings The proposed framework integrates an ethical-based approach which expands beyond mere compliance with privacy and protection laws, to include other critical facets regarding privacy and ethics, an equitable exchange of travellers’ data and THOs ability to demonstrate a social license to operate by building trusting relationships with stakeholders. Originality/value This study represents one of the first studies to consider the development of an ethical data framework for THOs, as a platform for further refinements in future conceptual and empirical research of such data governance frameworks. It contributes to the advancement of the body of knowledge in data ethics and data governance in tourism and hospitality and other industries and it is also beneficial to practitioners, as organisations may use it as a guide in data governance practices.


2020 ◽  
Vol 44 (6) ◽  
pp. 1217-1221
Author(s):  
Anca C Yallop ◽  
Omid Aliasghar

PurposeThe purpose of this commentary is to reflect on the transformative changes organisations experience, in the form of increased use of emergent information and communication technologies (ICTs), as a significant factor in enabling the continuation of normal business practices during the COVID-19 pandemic, and subsequent key ethical considerations in the use of new technology by organisations.Design/methodology/approachThis commentary adopts a reflective approach and is based on a review of theories on diffusion of innovation, dynamic capabilities and data ethics and governance, as well as up-to-date business reports to reflect on the ethical implications of new technologies for organisations.FindingsOrganisations from different industries and sectors around the world have experienced major disruptive changes because of the COVID-19 pandemic. Adoption and integration of new ICTs occurred at an accelerated pace in a collective effort to maintain “business as usual”. The use of emergent technologies is not without risks. The commentary argues that, in times of crisis, it is vital that organisations address the growing concerns around privacy and security of personal data by designing effective data governance frameworks that go beyond a mere compliance with existing policies and prevailing data privacy and protection laws to ensure data security and protection for all stakeholders.Originality/valueThis commentary is making the case for more considered approaches to data governance and data ethics in business following the unprecedented challenges posed by the recent COVID-19 pandemic and suggests possible ways of moving forward from an ethical perspective.


2020 ◽  
Vol 6 (3) ◽  
pp. 257-262 ◽  
Author(s):  
Anca Yallop ◽  
Hugues Seraphin

Purpose The purpose of this paper is to examine and provide insights into one of the most influential technologies impacting the tourism and hospitality industry over the next five years, i.e. big data and analytics. It reflects on both opportunities and risks that such technological advances create for both consumers and tourism organisations, highlighting the importance of data governance and processes for effective and ethical data management in both tourism and hospitality. Design/methodology/approach This paper is based on a review of academic and industry literature and access to trends data and information from a series of academic and industry databases and reports to examine how big data and analytics shape the future of the industry and the associated risks and opportunities. Findings This paper identifies and examines key opportunities and risks posed by the rising technological trend of big data and analytics in tourism and hospitality. While big data is generally regarded as beneficial to tourism and hospitality organisations, there are extensively held ethical, privacy and security concerns about it. Therefore, the paper is making the case for more research on data governance and data ethics in tourism and hospitality and posits that to successfully use data for competitive advantage, tourism and hospitality organisations need to solely expand compliance-based data governance frameworks to frameworks that include more effective privacy and ethics data solutions. Originality/value This paper provides useful insights into the use of big data and analytics for both researchers and practitioners and offers new perspectives on the debate on data governance and ethical data management in both tourism and hospitality. Because forecasts from the UNWTO indicate a significant increase in international tourist arrivals (1.8 billion tourist arrivals by 2030), the ways tourism and hospitality organisations manage customers’ data become important.


Author(s):  
Martin Hugo Rennhackkamp ◽  
Graeme K Hart

Most healthcare organizations would like to provide actionable information to the managers of their various service lines. Bringing administrative, clinical, and financial data together is critical to operating the service lines efficiently. It also presents a strategic advantage, as the applications of funding are more closely monitored, and regulatory reporting requirements increase. With a clearer picture of their financial and clinical performance together, organizations are better prepared to put efficient strategies in place to meet their goals and demonstrate value. However, that requires thorough planning and forward-thinking leadership. This chapter discusses approaches to how organizations can empower their stakeholders by providing them with integrated clinical and costing data. It addresses how business intelligence supports the management and reporting of clinical costing data, the utilization of data visualization and advanced analytics, the importance of data governance, and the role of a BI strategy, illustrated throughout with a case study.


Author(s):  
June Atkinson

IntroductionNew Zealand’s (NZ) Integrated Data Infrastructure (IDI) has rapidly expanded since our 2016 IPDLN conference update. Researchers have available a wide range of administrative and survey data. Even major earthquake damage to a Statistics NZ building in late 2016 has not halted progress with expanding the IDI and its usage. Objectives and ApproachTo provide an update on the current state of the IDI and its use by the NZ research community. To highlight some key areas that need further discussion because of the IDI’s rapid growth, especially concerning : Privacy, regulation and governance: how to make progress within appropriate regulatory constraints, especially around maintaining confidentiality, data sovereignty, data ethics and data security. Capacity building: what are the best ways to build multidisciplinary skills for new IDI users, share code and knowledge and what types of networking options work best? Cross-sectoral data linkage: to maximise the value of the IDI. ResultsIn the last two years there has been a rapid expansion of external datalabs with access to the IDI (now around 33) and with the number of researchers using these datalabs (around 650). This has resulted in many useful research outputs; but it has also highlighted some areas that need more consideration including: Data sovereignty: NZ needs to ensure a strong role of Māori (Indigenous NZers) in data governance to ensure that IDI data are used to maximise reduction in health and social inequalities. Options for assisting new IDI users and exploring the best ways of sharing code, knowledge and networking. To maximise value there needs more focus on use of cross-sectoral data linkage (to better understand the impact of social determinants on long-term health). Conclusion/ImplicationsThere has been rapid expansion of the scope and use of the IDI in New Zealand. But to ensure the continuation of the success to date, even more attention needs to be paid to such issues as data governance and data protection.


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