Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector

Elisa Indriasari, Wayan Suparta, Ford Lumban Gaol, Agung Trisetyarso, Bahtiar Saleh Abbas, Chul Ho Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Business Intelligent (BI) tools adopted in many companies as an effort to develop new strategies and survive in the rapid changes and agility situation. New horizons emerged with the implementation of the BI concept using “Cloud Computing”. The leading IT companies compete to develop BI cloud-based services (cloud BI). This study aimed to determine the factors influencing manager decision to adopt cloud BI in Indonesia’s financial service sector, using the diffusion of innovation (DOI) model and technology organization environment (TOE) framework. The research also obtains prediction of the cloud BI marketing trend in Indonesia. The survey conducted with 30 participants at the senior management level in Indonesia’s financial services sector. The findings reveal, the adoption rate of cloud BI in Indonesia financial service sector still very low. Only 3.4% of firms have implemented cloud BI, while 10% not considering the cloud BI adoption. The results of this research can be used by vendors to develop cloud BI tools that fit into the customer’s need. It is also very useful for marketers to know the characteristics and demographics of cloud BI users. For regulators, this research illustrates how and what drives regulators to make policies that can encourage companies to use the latest technology.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings
EditorsNgoc Thanh Nguyen, Tzung-Pei Hong, Ngoc Thanh Nguyen, Bogdan Trawiński, Ford Lumban Gaol
PublisherSpringer Verlag
Pages520-529
Number of pages10
ISBN (Print)9783030147983
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019 - Yogyakarta, Indonesia
Duration: 8 Apr 201911 Apr 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11431 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019
CountryIndonesia
CityYogyakarta
Period8/4/1911/4/19

Fingerprint

Business Intelligence
Competitive intelligence
Sector
Industry
Regulator
Cloud computing
Marketing
Managers
Innovation
Cloud Computing
Horizon
Customers

Keywords

  • Cloud BI
  • Cloud business intelligence
  • DOI framework
  • TOE framework

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Indriasari, E., Suparta, W., Gaol, F. L., Trisetyarso, A., Saleh Abbas, B., & Ho Kang, C. (2019). Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. In N. T. Nguyen, T-P. Hong, N. T. Nguyen, B. Trawiński, & F. L. Gaol (Eds.), Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings (pp. 520-529). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11431 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-14799-0_45

Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. / Indriasari, Elisa; Suparta, Wayan; Gaol, Ford Lumban; Trisetyarso, Agung; Saleh Abbas, Bahtiar; Ho Kang, Chul.

Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings. ed. / Ngoc Thanh Nguyen; Tzung-Pei Hong; Ngoc Thanh Nguyen; Bogdan Trawiński; Ford Lumban Gaol. Springer Verlag, 2019. p. 520-529 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11431 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Indriasari, E, Suparta, W, Gaol, FL, Trisetyarso, A, Saleh Abbas, B & Ho Kang, C 2019, Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. in NT Nguyen, T-P Hong, NT Nguyen, B Trawiński & FL Gaol (eds), Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11431 LNAI, Springer Verlag, pp. 520-529, 11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019, Yogyakarta, Indonesia, 8/4/19. https://doi.org/10.1007/978-3-030-14799-0_45
Indriasari E, Suparta W, Gaol FL, Trisetyarso A, Saleh Abbas B, Ho Kang C. Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. In Nguyen NT, Hong T-P, Nguyen NT, Trawiński B, Gaol FL, editors, Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings. Springer Verlag. 2019. p. 520-529. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-14799-0_45
Indriasari, Elisa ; Suparta, Wayan ; Gaol, Ford Lumban ; Trisetyarso, Agung ; Saleh Abbas, Bahtiar ; Ho Kang, Chul. / Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings. editor / Ngoc Thanh Nguyen ; Tzung-Pei Hong ; Ngoc Thanh Nguyen ; Bogdan Trawiński ; Ford Lumban Gaol. Springer Verlag, 2019. pp. 520-529 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{4d32f233c62f429893f7e48bc25de717,
title = "Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector",
abstract = "Business Intelligent (BI) tools adopted in many companies as an effort to develop new strategies and survive in the rapid changes and agility situation. New horizons emerged with the implementation of the BI concept using “Cloud Computing”. The leading IT companies compete to develop BI cloud-based services (cloud BI). This study aimed to determine the factors influencing manager decision to adopt cloud BI in Indonesia’s financial service sector, using the diffusion of innovation (DOI) model and technology organization environment (TOE) framework. The research also obtains prediction of the cloud BI marketing trend in Indonesia. The survey conducted with 30 participants at the senior management level in Indonesia’s financial services sector. The findings reveal, the adoption rate of cloud BI in Indonesia financial service sector still very low. Only 3.4{\%} of firms have implemented cloud BI, while 10{\%} not considering the cloud BI adoption. The results of this research can be used by vendors to develop cloud BI tools that fit into the customer’s need. It is also very useful for marketers to know the characteristics and demographics of cloud BI users. For regulators, this research illustrates how and what drives regulators to make policies that can encourage companies to use the latest technology.",
keywords = "Cloud BI, Cloud business intelligence, DOI framework, TOE framework",
author = "Elisa Indriasari and Wayan Suparta and Gaol, {Ford Lumban} and Agung Trisetyarso and {Saleh Abbas}, Bahtiar and {Ho Kang}, Chul",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-14799-0_45",
language = "English",
isbn = "9783030147983",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "520--529",
editor = "Nguyen, {Ngoc Thanh} and Tzung-Pei Hong and Nguyen, {Ngoc Thanh} and Bogdan Trawiński and Gaol, {Ford Lumban}",
booktitle = "Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings",

}

TY - GEN

T1 - Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector

AU - Indriasari, Elisa

AU - Suparta, Wayan

AU - Gaol, Ford Lumban

AU - Trisetyarso, Agung

AU - Saleh Abbas, Bahtiar

AU - Ho Kang, Chul

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Business Intelligent (BI) tools adopted in many companies as an effort to develop new strategies and survive in the rapid changes and agility situation. New horizons emerged with the implementation of the BI concept using “Cloud Computing”. The leading IT companies compete to develop BI cloud-based services (cloud BI). This study aimed to determine the factors influencing manager decision to adopt cloud BI in Indonesia’s financial service sector, using the diffusion of innovation (DOI) model and technology organization environment (TOE) framework. The research also obtains prediction of the cloud BI marketing trend in Indonesia. The survey conducted with 30 participants at the senior management level in Indonesia’s financial services sector. The findings reveal, the adoption rate of cloud BI in Indonesia financial service sector still very low. Only 3.4% of firms have implemented cloud BI, while 10% not considering the cloud BI adoption. The results of this research can be used by vendors to develop cloud BI tools that fit into the customer’s need. It is also very useful for marketers to know the characteristics and demographics of cloud BI users. For regulators, this research illustrates how and what drives regulators to make policies that can encourage companies to use the latest technology.

AB - Business Intelligent (BI) tools adopted in many companies as an effort to develop new strategies and survive in the rapid changes and agility situation. New horizons emerged with the implementation of the BI concept using “Cloud Computing”. The leading IT companies compete to develop BI cloud-based services (cloud BI). This study aimed to determine the factors influencing manager decision to adopt cloud BI in Indonesia’s financial service sector, using the diffusion of innovation (DOI) model and technology organization environment (TOE) framework. The research also obtains prediction of the cloud BI marketing trend in Indonesia. The survey conducted with 30 participants at the senior management level in Indonesia’s financial services sector. The findings reveal, the adoption rate of cloud BI in Indonesia financial service sector still very low. Only 3.4% of firms have implemented cloud BI, while 10% not considering the cloud BI adoption. The results of this research can be used by vendors to develop cloud BI tools that fit into the customer’s need. It is also very useful for marketers to know the characteristics and demographics of cloud BI users. For regulators, this research illustrates how and what drives regulators to make policies that can encourage companies to use the latest technology.

KW - Cloud BI

KW - Cloud business intelligence

KW - DOI framework

KW - TOE framework

UR - http://www.scopus.com/inward/record.url?scp=85064533552&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064533552&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-14799-0_45

DO - 10.1007/978-3-030-14799-0_45

M3 - Conference contribution

SN - 9783030147983

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 520

EP - 529

BT - Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings

A2 - Nguyen, Ngoc Thanh

A2 - Hong, Tzung-Pei

A2 - Nguyen, Ngoc Thanh

A2 - Trawiński, Bogdan

A2 - Gaol, Ford Lumban

PB - Springer Verlag

ER -