Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal

This chapter begins with a case study of Strava, a fitness app that inadvertently exposed sensitive military information even while protecting individual users' information privacy. The case study is analyzed as an example of how recent advances in algorithmic group inference technologies threaten privacy, both for individuals and for groups. It then argues that while individual privacy from big data analytics is well understood, group privacy is not. Results of an experiment to better understand group privacy are presented. Findings show that group and individual privacy are psychologically distinct and uniquely affect people's evaluations, use, and tolerance for a fictitious fitness app. The chapter concludes with a discussion of group-inference technologies ethics and offers recommendations for fitness app designers.

Download Full-text

Selective and Recurring Re-computation of Big Data Analytics Tasks: Insights from a Genomics Case Study

Big Data Research ◽

10.1016/j.bdr.2018.06.001 ◽

2018 ◽

Vol 13 ◽

pp. 76-94 ◽

Cited By ~ 2

Author(s):

Jacek Cała ◽

Paolo Missier

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics

Download Full-text

Artificial Intelligence Imagery Analysis Fostering Big Data Analytics

Future Internet ◽

10.3390/fi11080178 ◽

2019 ◽

Vol 11 (8) ◽

pp. 178 ◽

Cited By ~ 1

Author(s):

Stefan Cremer ◽

Claudia Loebbecke

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Quality Data ◽

Background Information ◽

Research And Practice ◽

Management Approaches ◽

Thumbnail Images

In an era of accelerating digitization and advanced big data analytics, harnessing quality data and insights will enable innovative research methods and management approaches. Among others, Artificial Intelligence Imagery Analysis has recently emerged as a new method for analyzing the content of large amounts of pictorial data. In this paper, we provide background information and outline the application of Artificial Intelligence Imagery Analysis for analyzing the content of large amounts of pictorial data. We suggest that Artificial Intelligence Imagery Analysis constitutes a profound improvement over previous methods that have mostly relied on manual work by humans. In this paper, we discuss the applications of Artificial Intelligence Imagery Analysis for research and practice and provide an example of its use for research. In the case study, we employed Artificial Intelligence Imagery Analysis for decomposing and assessing thumbnail images in the context of marketing and media research and show how properly assessed and designed thumbnail images promote the consumption of online videos. We conclude the paper with a discussion on the potential of Artificial Intelligence Imagery Analysis for research and practice across disciplines.

Download Full-text

Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care

Cybernetics and Information Technologies ◽

10.1515/cait-2015-0055 ◽

2015 ◽

Vol 15 (4) ◽

pp. 58-77 ◽

Cited By ~ 4

Author(s):

Svetla Boytcheva ◽

Galia Angelova ◽

Zhivko Angelov ◽

Dimitar Tcharaktchiev

Keyword(s):

Blood Pressure ◽

Big Data ◽

Text Mining ◽

Retrospective Analysis ◽

Outpatient Care ◽

Data Analytics ◽

Big Data Analytics ◽

Free Text ◽

Arterial Blood ◽

And Control

Abstract This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language, approximately 100 million of outpatient care notes. Entities with numerical values are mined in the free text and the extracted information is stored in a structured format. The Algorithms for retrospective analyses and big data analytics are applied for studying the treatment and evaluating the diabetes compensation and control of arterial blood pressure.

Download Full-text

Understanding Big Data Analytics for Manufacturing Processes: Insights from Literature Review and Multiple Case Studies

Computers & Industrial Engineering ◽

10.1016/j.cie.2019.106099 ◽

2019 ◽

Vol 137 ◽

pp. 106099 ◽

Cited By ~ 18

Author(s):

Amine Belhadi ◽

Karim Zkik ◽

Anass Cherrafi ◽

Sha'ri M. Yusof ◽

Said El fezazi

Keyword(s):

Big Data ◽

Literature Review ◽

Case Studies ◽

Data Analytics ◽

Big Data Analytics ◽

Manufacturing Processes ◽

Multiple Case ◽

Multiple Case Studies

Download Full-text

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

International Journal of Physical Distribution & Logistics Management ◽

10.1108/ijpdlm-05-2019-0156 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Alexander Schlegel ◽

Hendrik Sebastian Birkel ◽

Evi Hartmann

Keyword(s):

Big Data ◽

Information Processing ◽

Data Analytics ◽

Single Case ◽

Big Data Analytics ◽

Business Planning ◽

Operations Planning ◽

Content Type ◽

The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

Download Full-text