scholarly journals Reimagining the Big Data assemblage

2018 ◽  
Vol 5 (2) ◽  
pp. 205395171881819 ◽  
Author(s):  
Daniel Carter
Keyword(s):  
Big Data ◽  
Recent Work ◽  
Science And Technology Studies ◽  
Data Analytics ◽  
Science And Technology ◽  
Big Data Analytics ◽  
Technology Studies ◽  
New Ways Of Working ◽  
Considerable Success

Recent work on Big Data and analytics reveals a tension between analyzing the role of emerging objects and processes in existing systems and using those same objects and processes to create new and purposeful forms of action. While the field of science and technology studies has had considerable success in pursuing the former goal, as Halford and Savage argue, there is an ongoing need to discover or invent ways to “do Big Data analytics differently.” In this commentary, I suggest that attempts to produce new ways of working with Big Data and analytics might be hindered by how science and technology studies-influenced scholars have conceptualized assemblages. While these scholars have foregrounded objects’ relations within existing assemblages, new materialist philosophers draw attention to properties of objects that transcend those relations and might indicate opportunities for more creative or generative uses of Big Data and analytics.

scholarly journals Big Data Analytics in urology: the story so far and the road ahead

2021 ◽  
Vol 13 ◽  
pp. 175628722199813
Author(s):  
B. M. Zeeshan Hameed ◽  
Aiswarya V. L. S. Dhavileswarapu ◽  
Nithesh Naik ◽  
Hadis Karimi ◽  
Padmaraj Hegde ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Early Stage ◽  
Big Data Analytics ◽  
Positive Trend ◽  
The Road ◽  
Healthcare Data ◽  
Urological Disorders ◽  
Different Sources

Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.

scholarly journals The Rising Role of Big Data Analytics and IoT in Disaster Management: Recent Advances, Taxonomy and Prospects

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 54595-54614 ◽  
Author(s):  
Syed Attique Shah ◽  
Dursun Zafer Seker ◽  
Sufian Hameed ◽  
Dirk Draheim
Keyword(s):  
Big Data ◽  
Disaster Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Recent Advances

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Firm Performance ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Management Culture

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

The role of big data analytics in digitized manufacturing

2021 ◽  
Vol 7 (4) ◽  
pp. 449-458
Author(s):  
Damian Marshall ◽  
John Churchwell ◽  
Marc-Olivier Baradez
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

scholarly journals Symmetry as a Guide to Post-truth Times: A Response to Lynch

2021 ◽  
Vol 43 (2) ◽  
pp. 395-411
Author(s):  
Steve Fuller
Keyword(s):  
Social Epistemology ◽  
Science And Technology Studies ◽  
Thomas Hobbes ◽  
Science And Technology ◽  
Truth Condition ◽  
Carl Schmitt ◽  
Symmetry Principle ◽  
Technology Studies

Abstract William Lynch has provided an informed and probing critique of my embrace of the post-truth condition, which he understands correctly as an extension of the normative project of social epistemology. This article roughly tracks the order of Lynch’s paper, beginning with the vexed role of the ‘normative’ in Science and Technology Studies, which originally triggered my version of social epistemology 35 years ago and has been guided by the field’s ‘symmetry principle’. Here the pejorative use of ‘populism’ to mean democracy is highlighted as a failure of symmetry. Finally, after rejecting Lynch’s appeal to a hybrid Marxian–Darwinism, Carl Schmitt and Thomas Hobbes are contrasted en route to what I have called ‘quantum epistemology’.

scholarly journals Discursive Contextures of Science: Euro/West-Centrism and Science and Technology Studies

2016 ◽  
Vol 2 ◽  
pp. 193 ◽  
Author(s):  
Amit Prasad
Keyword(s):  
Network Theory ◽  
Science And Technology Studies ◽  
Science And Technology ◽  
Embryonic Stem ◽  
Modern Science ◽  
Actor Network Theory ◽  
Scientific Practices ◽  
Technology Studies ◽  
Knowledge And Practice

Science and Technology Studies (STS) by the very act of showing the multiplicity, contingency, and context-dependence of scientific knowledge and practice, provincialized modern science. Postcolonial interventions within STS have pursued this goal even further. Nevertheless, Euro/West-centrism continues to inflect not only scientific practices and lay imaginaries, but also sociological and historical analyses of sciences. In this article, drawing on my own training within STS – first under J.P.S. Uberoi, who was concerned with structuralist analysis of modernity and science, and thereafter under Andy Pickering, when we focused on material agency and temporal emergence and extensively engaged with Actor Network Theory - I emphasize the continuing role of Euro/West-centric discourses in defining the “self” and the “other” and in impacting epistemological and ontological interventions. More broadly, building on a concept of Michael Lynch’s, I call for excavation and analysis of discursive contextures of sciences. In the second section of the article, through a brief analysis of embryonic stem cell therapy in a clinic in Delhi, I show how with shifting transnational landscape of technoscience certain discursive contextures are being “deterritorialized” and left “stuttering.”

scholarly journals It’s Important to Go to the Laboratory: Malte Ziewitz Talks with Michael Lynch

2018 ◽  
Vol 4 ◽  
pp. 366 ◽  
Author(s):  
Malte Ziewitz ◽  
Michael Lynch
Keyword(s):  
Social Studies ◽  
Science And Technology Studies ◽  
Blow Up ◽  
Science And Technology ◽  
Laboratory Studies ◽  
Technology Studies ◽  
Social Studies Of Science ◽  
Origin Stories

Why would anyone still want to go to the laboratory in 2018? In this interview, Michael Lynch answers this and other questions, reflecting on his own journey in, through, and alongside the field of science and technology studies (STS). Starting from his days as a student of Harold Garfinkel’s at UCLA to more recent times as editor of Social Studies of Science, Lynch talks about the rise of origin stories in the field; the role of ethnomethodology in his thinking; the early days of laboratory studies; why “turns” and “waves” might better be called “spins”; what he learned from David Edge; why we should be skeptical of the presumption that STS enhances the democratization of science; and why it might be time to “blow up STS”––an appealing idea that Malte Ziewitz takes up in his reflection following the interview.

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