CoChat
Sign Up
Cited by 69Big Data and Business IntelligenceBig Data Technologies and ApplicationsDigital Marketing and Social Media

The DOI matches its Crossref record; 94 of the 95 references it cites were found in a registry or an index, and 1 are not checked yet.

Business Open Big Data Analytics to Support Innovative Leadership and Management Decision in Canada

Open access
Delanoy, Nadia, Kasztelnik, arina·2020·Business Ethics and Leadership
DOI 10.21272/bel.4(2).56-74.2020
Open this paper in CoChat — free accountOpen PDF

Abstract

This paper summarizes how social media and other technologies continue to proliferate; the shifting economic landscape will precipitate more adaptive approaches for managers attempting to understand the multi-dimensional virtual aspects of communication with the artificial intelligence aspect. Also, we discover the different existing support of big data analytics to make a rational business decision. The methodology is the systematization literature sources within this context and approaches for the underlining approach to open big data analytics and support innovative leadership decisions in Canada. The paper is carried out in the following logical sequence to gain an understanding of how customer relations managers could utilize social media within a data analytics frame from scholar and practitioner perspectives. This literature research review original paper outlines the main themes including the role of social media, the experiences of using data analytics for customer relations management, and the notion that customer-centric technologies could change the dynamic of understanding customer intentions, leadership decisions and introduce the innovative management with using the big data analytics in place. The results of the critical thinking with analysis both authors can be useful for any business around the World that would like to start using Artificial Intelligence to support innovative management decisions. The emergent themes that were highlighted based on the realities of customer relations management may be significant to how the integration of social media feedback resulting from crowdsourcing in addition to existing data analytics could better position organizations in this evolving world. The implications of linking innovative management processes such as demographic analysis, platform understanding, and communication methods together are crucial for any public business with a global impact. Finally, the understanding of innovation management in a social media era and understanding how customers utilized open big data analytics sources could help leadership practices across industries around the World. Keywords: Big Data Analytics, Innovative Leadership, Management of Social Media, Open Sources.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.21272/bel.4(2).56-74.2020

Cites

94 of 95 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 20

  1. Aquino, J. (2015). The pros and cons of crowdsourcing. CRM Magazine, 17(2), 30-34. Retrieved from: Walden Databases.
  2. Chih-Chin, L., Yu-Ting, W., Yi-Chi, C., Siao-Han, L., & Yi-Chien, C. (2015). Impulsive Buying Behavior of Otaku Undergraduate Students. Marketing Review / Xing Xiao Ping Lun, 12(2), 139-160. Retrieved from: https://scholar.google.com/scholar?cluster=12212631898222818728&hl=ru&as_sdt=0,5&sciodt=0,5.
  3. Courchesne, A., Ravanas, P., & Pulido, C. (2019). Using Technology to Optimize Customer Relationship Management: The Case of Cirque du Soleil. International Journal of Arts Management, 21(2), 83–93. Retrieved from: https://search-ebscohost-com.ezp.waldenulibrary.org/login.aspx?direct=true&db=bth&AN=135073830&site=ehost-live&scope=site.
  4. Del Rowe, S. (2018). Tapping into social sphere of influence. CRM Magazine, 22(1), 26-30. Retrieved from: https://www.questia.com/magazine/1G1-525003842/tapping-into-social-s-sphere-of-influence-digital.
  5. Goldenberg, B. (2017). Four big barriers to an integrated customer-centric strategy. Customer Experience Journal. Retrieved from: https://www.ismguide.com/book.
  6. Grossberg, K.A. (2018). The new marketing solutions that will drive strategy implementation. Strategy & Leadership, 44(3), 20–26. https://doi.org/10.1016/j.bushor.2014.11.001. · DOI
  7. Ismail, E. & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47-55. Doi: 10.1016/j.chb.2016.03.003. · DOI · Paper page
  8. Kite, L. (2016). Goodbye to Twitter’s Buy Button. CRM Magazine, 20(9), 18. Retrieved from: https://www.destinationcrm.com/Articles/ReadArticle.aspx?ArticleID=113272.
  9. Kvale, S. (2007). InterViews – an introduction to qualitative research interviewing, Sage Publications, Thousand Oaks, London. DOI: 10.1108/JSM-10-2016-0352. · DOI
  10. Lager, M. (2013). New year, New strategies 2014. CRM Magazine, 17(12), 28-32. Retrieved from: https://www.destinationcrm.com/Authors/3117-Marshall-Lager.htm.
  11. Liyakasa, K. (2013). Big data and customer experience begin to converge. CRM Magazine, 17(7), 20. Retrieved from: https://www.destinationcrm.com/Articles/ReadArticle.aspx?ArticleID=90142.
  12. Singh, S. (2017). Marketing analytics is critical, but is data being left out? Gulf Marketing Review, 1.
  13. Smilansky, O. (2015). Big data for big profits. CRM Magazine, 19(10), 28-31. Retrieved from: Business Source Complete, Ipswich, MA. https://www.ebsco.com/products/research-databases/business-source-complete.
  14. Trefler, A. (2014). Big data: Focusing on customer Boost growth. Chain Drug Review, 36(13), 46.
  15. Vickers, M. (2017). Do you know your customers’ generation? CRM Magazine, 21(4), 8. Retrieved from: https://www.destinationcrm.com/Articles/ReadArticle.aspx?ArticleID=117173.
  16. Walaski, P. (2013). Social Media. Professional Safety, 58(4), 40−49. http://search.proquest.com/docview/1331594111?accountid=13380.
  17. Webb, S. H., & Roberts, S. J. (2016). Communication and social media approaches in small businesses. Journal of Marketing Development & Competitiveness, 10(1), 66–79. Retrieved from: https://search-ebscohost-com.ezp.waldenulibrary.org/login.aspx?direct=true&db=bth&AN=131724593&site=ehost-live&scope=site.
  18. White, J., & Drew, S. (2011). Collecting data or creating meaning? Qualitative Research Journal, 11(1), 3-12. doi:10.3316/ARJ1101003. · DOI
  19. Yin, R. (2011). Applications of case study research: Chapter one. Thousand Oaks, California: Sage Publications. Retrieved from: https://www.amazon.com/Applications-Case-Study-Research-Robert/dp/1412989167.
  20. Yin, R. (2014). Applications of case study research: New Edition. Thousand Oaks, California: Sage Publications. Retrieved from:https://edisciplinas.usp.br/pluginfile.php/1742025/mod_resource/content/1/How%20to%20know%20whether%20and%20when%20to%20use%20the%20case%20study%20as%20a%20reserach%20method.pdf.

Cited by

Sorted by citations

See all 69

Related

See all

Metadata

Authors
Delanoy, N., & Kasztelnik, A.
Affiliations
  • University of Calgary (CA)
  • Grand Canyon University, College of Doctoral Studies, Washington, DC, USA
ORCID
Venue
Business Ethics and Leadership
Publisher
Academic Research and Publishing U.G.
Published
2020
Volume
4
Issue
2
Pages
56-74
ISSN
  • 2520-6311 (ISSN-L)
  • 2520-6761
DOI
10.21272/bel.4(2).56-74.2020
OpenAlex
W3046471202
Cited by
50
References
95
Citations by year
2025: 3 · 2024: 1 · 2023: 11 · 2022: 11 · 2021: 18 · 2020: 6
FWCI
13.06
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Business Ethics and Leadership (publishedVersion, cc-by)
  • Electronic Sumy State University Institutional Repository (Sumy State University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
  • Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
Keywords
big data analytics, innovation leadership, management decision-making, social media, customer relationship management, crowdsourcing, artificial intelligence, innovation management, open data sources, Canada

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review