1,726,277 research outputs found
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Oral History Interview with Shazia Ali, October 15, 2012
No full textInterview with Dr. Shazia Ali, a professor from Dallas, Texas. Ali discusses her life and career as a Pakistani-American, including her family origins, growing up in Karachi and Dubai, her education, her work for a newspaper, the slums of Karachi, meeting her husband, being married over the phone, emigrating to Dallas, employment at UT-Dallas, having children, attending Richland College, cultural effects of September 11th, getting a PhD, parenting, and navigating cultures
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Maaz Shaikh Collection
No full textThis is a personal narrative of the life of the speaker Shazia Shaikh. She narrates many of her childhood incidences. Additionally, she provides a detailed description of most of her family members as well as her village Bairidih
sj-docx-1-sgo-10.1177_21582440231200319 – Supplemental material for Reconnoitering the Nexus Between Organizational Culture and Open Innovation Systems
No full textSupplemental material, sj-docx-1-sgo-10.1177_21582440231200319 for Reconnoitering the Nexus Between Organizational Culture and Open Innovation Systems by Shazia Parveen, Iqra Abdullah, Muhammad Imran Qureshi, Muhammad Umar Farooq and Shazia Qayuum in SAGE Open</p
Finding 'Ethical Leadership' in the Organization
No full textThe dataset is a binary dataset that explores the relationship between purpose and motivation of ethical leader and whistleblower in the organization
Replication Data for: Different and Better than You: The Interplay between Social Identity, Moral Identity and Social Comparison
No full text<This dataset contain data about different types of identities and how these affect social comparison
Replication Data for: The Identity Melting Pot: The Relationship between Place Identity, Social Identity, Moral Identity, and Social Comparison (Study 1)
No full text<datastudy1
Inspiring Followers to Follow: Perceiving Purpose and Motivation behind Ethical Behavior and a Quest for ‘Ethical’ Leadership in the Organization
No full textThis is the data of experimental study on inspirational value of the moral actions of moral exemplars in the organization
Handbook of data quality: research and practice
No full textThe issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches
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