Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Information  /  Vol: 13 Par: 9 (2022)  /  Artículo
ARTÍCULO
TITULO

Rebuilding Stakeholder Confidence in Health-Relevant Big Data Applications: A Social Representations Perspective

Anthony M. Maina and Upasana G. Singh    

Resumen

Big data applications are at the epicentre of recent breakthroughs in digital health. However, controversies over privacy, security, ethics, accountability, and data governance have tarnished stakeholder trust, leaving health-relevant big data projects under threat, delayed, or abandoned. Taking the notion of big data as social construction, this work explores the social representations of the big data concept from the perspective of stakeholders in Kenya?s digital health environment. Through analysing the similarities and differences in the way health professionals and information technology (IT) practitioners comprehend the idea of big data, we draw strategic implications for restoring confidence in big data initiatives. Respondents associated big data with a multiplicity of concepts and were conflicted in how they represented big data?s benefits and challenges. On this point, we argue that peculiarities and nuances in how diverse players view big data contribute to the erosion of trust and the need to revamp stakeholder engagement practices. Specifically, decision makers should complement generalised informational campaigns with targeted, differentiated messages designed to address data responsibility, access, control, security, or other issues relevant to a specialised but influential community.

 Artículos similares

       
 
Alessandro Pinheiro, Abílio Oliveira, Bráulio Alturas and Mónica Cruz    
The gaming industry has seen a considerable expansion thanks to the ever-increasing and widespread consumption of digital games in different contexts of use and across all age groups. We are witnessing a commercial boom and awakening the attention of res... ver más
Revista: Information

 
Yussuf Ahmed, Muhammad Ajmal Azad and Taufiq Asyhari    
In recent years, there has been a notable surge in both the complexity and volume of targeted cyber attacks, largely due to heightened vulnerabilities in widely adopted technologies. The Prediction and detection of early attacks are vital to mitigating p... ver más
Revista: Information

 
Nikolaos T. Giannakopoulos, Marina C. Terzi, Damianos P. Sakas, Nikos Kanellos, Kanellos S. Toudas and Stavros P. Migkos    
Agriculture firms face an array of struggles, most of which are financial; thus, the role of decision making is discerned as highly important. The agroeconomic indexes (AEIs) of Agriculture Employment Rate (AER), Chemical Product Price Index (CPPI), Farm... ver más
Revista: Information

 
Xianrong Zheng, Elizabeth Gildea, Sheng Chai, Tongxiao Zhang and Shuxi Wang    
Data science has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Data science in finance helps to prov... ver más
Revista: AI

 
Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang     Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ... ver más