Analyzing the Impact of Business Intelligence Capacity, Network Learning, and Innovation on the Performance of Startups

Document Type : Management & Entrepreneurship

Authors

1 Assistant Professor. Islamic Azad University, Parand Branch, Tehran, Iran

2 M.A. Student of Executive Management, Islamic Azad University, Parand Branch, Tehran, Iran

3 professor of parand

Abstract

We could not ignore the impact of innovation, Business Intelligence Capacity, Network Learning on the Performance of Startups. Today, startups are regarded as a new solution to move the cycle of economy and also get out of the enemy sanctions and one of the pioneers of moving towards a resistance economy. Therefore, given the importance of startups, the key to success and prevention of their failure is business intelligence and innovative technology. This study, which is applied in terms of results and descriptive-correlational in terms of purpose, aims to investigate the effect of business intelligence capacity, technological innovation and network learning on increasing the performance of startups. The statistical population of this research was the founders, investors and start-up business experts or employees in these companies. The data collection tool is a researcher-made questionnaire. The validity of the questionnaire was confirmed by AVE criterion which shows the average variance shared between each structure with its own indicators. For the reliability of the questionnaire questions, Cronbach's alpha method was used, which is 0.882. In order to analyze the data, SMART PLS and SPSS16 software were used. KMO index and Bartlett test were used for the adequacy of the samples. Hypotheses were evaluated with linear structured relationships. The findings indicated that network learning, technological innovation and business intelligence have a positive effect on the performance of startups and in some hypotheses this effect is positive and direct and in some hypotheses this effect is indirect and negative.

Keywords

Main Subjects


In Persian-Tari, Ghafar. Pourhelm,
Hamidreza. (2020). "Structural
model of factors affecting the
growth of startups in Iran". Journal
of Executive Management" Twelve
year. No 23. 2020. (in Persian)
Boisvert & Hugues (2006). Les enjeux de la
performance des organizations.
CMA Management, 79(9), 23-25.
Caseiro, N., Coelho, A. (2017). The influence
of Business Intelligence capacity,
network learning & innovativeness
on startups performance. Journal of
Innovation &Knowledge. JIK-83;
No.of Pages7.
Dishman, P. L., & Calof, J. L. (2008).
Competitive intelligence: A multiph
-asic Precedent to marketing
strategy. European Journal of
Marketing, 42(7/8, 766–785).
Dong, X.M. (2012). Index system and
evaluation model of e-commerce
customer satisfaction. Paper
presented at the Robotics and
Applications (ISRA), IEE Symposium
on .
Garvis, N, (2000). The influence of
Business Intelligence capacity,
network learning & innovativeness
on startups performance. Journal of
Innovation & Knowledge,Volume 4,
Issue 3.
Hočevar, B., Jaklič, J. (2010). Assessing
benefits of business intelligence
systems - A case study. Available in:
https://www.researchgate.net/p
ublication/281604076_Assessing_
benefits_of_business_intelligence
_systems_-_A_case_study
Hoppe, M., Hamrefors, S., & Soilen, K. S.
(2009). Competitive intelligence :
Competing, consuming & collabora
-ting in a flat world. In Proceedings
of the third European competitive
intelligence symposium.
Howson, R. (2008). Hegemonic Masculinity
in the Theory of Hegemony.
Available in:

https://www.researchgate.net/p
ublication/45173141_Hegemonic_
Masculinity_in_the_Theory_of_
Hegemony
Ishaya, T., Chadband, J. and Grierson, L.,
(2007). Integrating Enterprise Data
for Decision Support in
Construction Organisations,
Proceedings of the
9thInternational Conference
Organisations Systems, Funchal,
Madeira, Portugal, ICEIS(1), pp.
534–539.
Jafarnejad, A., Kiani Bakhtiari, A. (2013).
Technological Innovation
Infrastructure and Management in
the National Innovation System.
Nasha Alam Journal. Second Issue.
June 2013. (in Persian)
Jafarnejad, A. (2013). The study of the
relationship between social
intelligence and business
performance (Case study: managers
of Ardabil Agricultural Bank). Thesis
for a master's degree in executive
management Major: Marketing.
Islamic Azad University, Garmsar
Branch. (in Persian)
Kim, D., Ferrin, D. & Rao, H. (2008), A trustbased consumer decision making
model 84–95. In electronic
commerce: the role of trust perceivd
risk, and their antecedents.
Lumpkin, G. T., & Dess, G. G. (1996).
Clarifying the entrepreneurial
orientation Construct and linking it
to performance. Academy of
Management Review, 21(1), 135–172.
Man, T. W., Lau, T., & Chan, K. (2002). The
competitiveness of small and
enterprises. Journal of Business
Venturing, 17(2), 123–142.
Seyed Javadin, S.R. (2007). A comprehensive
overview of the basic concepts of
management and organization
theories. Tehran: Negahe Danesh.
(in Persian)
Shaun, S., Sang Jiu, O. (2016). Surviving
Sepsis Campaign: International
Guidelines for Management of
Sepsis and Septic Shock. Journal of
Business Venturing.
Shollo, A. (2010). Towards an
understanding of business
intelligence. In 21 S On information
systems (pp. 1–11). Australasian
conference.
Shollo, A., & Galliers, R. D. (2015). Towards
an understanding of the role of
business Intelligence systems in
organizational knowing. Informatio
-n Systems Journal, 26(4), 339–367.
Wang, C. L., & Ahmed, P. K. (2004). The
development and validation of the
Organizational innovativeness con
-struct using confirmatory factor
analysis. European Journal of
Innovation Management, 7 (4), 303–
313.
Weerawardena, J., et al. (2014). The role of
the market sub-system and the
socio-technical sub-system in
innovation and firm performance: A
dynamic capabilities approach.
Journal of the Academy of Marketing
Science, 221–239.