Search Results - subject:"Data visualisation"

Design and implementation of big data analysis and visualisation platform for the smart city

Sun, Kai; Liu, Naidi; Sun, Xinghua; Zhang, Yuxin - In: International journal of information technology and … 22 (2023) 3/4, pp. 373-385

Persistent link: https://www.econbiz.de/10014319441

Consumer ethnocentrism research over three decades : a bibliometric analysis and future directions

Chahal, Seema; Narwal, Mahabir; Rozera, Prinkle - In: Asia-Pacific journal of management research and innovation 19 (2023) 4, pp. 200-218

Persistent link: https://www.econbiz.de/10015163279

Quantitative analysis of qualitative data : using voyant tools to investigate the sales-marketing interface

Hetenyi, Gabor; Lengyel, Attila; Szilasi, Magdolna - In: Journal of industrial engineering and management : JIEM 12 (2019) 3, pp. 393-404

virtually no earlier literature on how quantitative data visualisation techniques can be used in marketing research, especially …

Persistent link: https://www.econbiz.de/10012138020

Quantitative analysis of qualitative data: Using voyant tools to investigate the sales-marketing interface

Hetenyi, Gabor; Lengyel, Attila; Szilasi, Magdolna - In: Journal of Industrial Engineering and Management (JIEM) 12 (2019) 3, pp. 393-404

virtually no earlier literature on how quantitative data visualisation techniques can be used in marketing research, especially …

Persistent link: https://www.econbiz.de/10013326183

Influential factors in decision support capabilities of a mobile-enabled interactive analytical dashboard system

Lea, Bih-Ru; Yu, Wen-Bin; Min, Ho-key - In: International journal of business and systems research … 16 (2022) 4, pp. 423-447

Persistent link: https://www.econbiz.de/10013336424

A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia

Parnas Gulnes, Maren; Soylu, Ahmet; Roman, Dumitru - In: Data Technologies and Applications 56 (2022) 3, pp. 358-381

Purpose Neuroscience data are spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats and often have no connection to the related data sources. These make it difficult for researchers to understand, integrate and reuse brain-related data....

Persistent link: https://www.econbiz.de/10014712798