The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Big Data Analytics and Visualization of Performance of Stock Exchange Companies Based on Balanced Scorecard Indicators
Abstract
One of the major concerns of managers at stock exchange companies is the maximum and efficient use of limited resources to meet the unlimited users' demands and in particular, investors and company owners. Achieving this goal gets more complex everyday due to the changing environment and multidimensional economic pressures. It is necessary that managers know the process of effective data oriented measurement in every single aspect of a successful business. One of the most accredited and useful methods for evaluating performance is the Balanced Scorecard (BSC). In this chapter, researchers have focused on providing a model that evaluates the performance of companies based on a combination of BSC indicators and big data analytics and algorithms. The chapter's purpose is to indicate which analytics algorithms are most appropriate for each BSC indicator based on a deep review of broad literature as a measurement guideline for future researchers and practitioners.
Related Content
|
Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst.
© 2022.
24 pages.
|
|
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N..
© 2022.
20 pages.
|
|
Ram Singh, Rohit Bansal, Sachin Chauhan.
© 2022.
19 pages.
|
|
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka.
© 2022.
17 pages.
|
|
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva.
© 2022.
23 pages.
|
|
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma.
© 2022.
18 pages.
|
|
Nwosu Anthony Ugochukwu, S. B. Goyal.
© 2022.
23 pages.
|
|
|