The Relationship Between Organizational Culture and The Critical Success Factors of Big Data Analytics
(2019) INFM10 20191Department of Informatics
- Abstract (Swedish)
- Over the past years, big data analytics (BDA) has gained more attention in both academic fields and business communities, and it was perceived as very beneficial for organizations. However, taking into consideration the quick and chaotic nature of its evolution, in addition to its high dependence on cutting edge technologies, BDA implementations were characterized as vague and risky projects with high failure rates. Thus, knowing the critical success factors (CSFs) for BDA implementations gains special importance to influence its success, and because the effects of organizational culture on information systems has been noted by many researchers, it is urged that it also affects BDA and its CSFs. In fact, culture has been urged to have a... (More)
- Over the past years, big data analytics (BDA) has gained more attention in both academic fields and business communities, and it was perceived as very beneficial for organizations. However, taking into consideration the quick and chaotic nature of its evolution, in addition to its high dependence on cutting edge technologies, BDA implementations were characterized as vague and risky projects with high failure rates. Thus, knowing the critical success factors (CSFs) for BDA implementations gains special importance to influence its success, and because the effects of organizational culture on information systems has been noted by many researchers, it is urged that it also affects BDA and its CSFs. In fact, culture has been urged to have a more significant impact than technological aspects. In this exploratory research, we investigate how differently the culture of an organization can affect the CSFs of BDA implementation. We conducted five interviews with five different companies, and the results show that different organizational culture affects the CSFs of BDA differently. Moreover, we find that the relationship between CSFs of BDA and organizational culture is bidirectional, as BDA incurs cultural changes in organizations. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8983127
- author
- Wang, Ruochen LU and Salti, Fadi
- supervisor
- organization
- course
- INFM10 20191
- year
- 2019
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Big Data, Big Data Analytics, Organizational Culture, CSFs
- report number
- INF19-031
- language
- English
- id
- 8983127
- date added to LUP
- 2019-06-19 10:31:42
- date last changed
- 2019-06-19 10:31:42
@misc{8983127, abstract = {{Over the past years, big data analytics (BDA) has gained more attention in both academic fields and business communities, and it was perceived as very beneficial for organizations. However, taking into consideration the quick and chaotic nature of its evolution, in addition to its high dependence on cutting edge technologies, BDA implementations were characterized as vague and risky projects with high failure rates. Thus, knowing the critical success factors (CSFs) for BDA implementations gains special importance to influence its success, and because the effects of organizational culture on information systems has been noted by many researchers, it is urged that it also affects BDA and its CSFs. In fact, culture has been urged to have a more significant impact than technological aspects. In this exploratory research, we investigate how differently the culture of an organization can affect the CSFs of BDA implementation. We conducted five interviews with five different companies, and the results show that different organizational culture affects the CSFs of BDA differently. Moreover, we find that the relationship between CSFs of BDA and organizational culture is bidirectional, as BDA incurs cultural changes in organizations.}}, author = {{Wang, Ruochen and Salti, Fadi}}, language = {{eng}}, note = {{Student Paper}}, title = {{The Relationship Between Organizational Culture and The Critical Success Factors of Big Data Analytics}}, year = {{2019}}, }