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The Mediating Role of Knowledge Sharing on the Relationship Between Competitive Intelligence and Product Development: Evidence from Jordan

Foundations of Management
Volume 14 (2022): Issue 1 (January 2022)
By:
Open Access
|Dec 2022

Figures & Tables

Figure 1

The flowchart of structural equation model steps(Source: prepared by the author)
The flowchart of structural equation model steps(Source: prepared by the author)

Figure 2

Structular model(Source: prepared by the author)
Structular model(Source: prepared by the author)

Construct cross-validated redundancy(Source: Author's own research)

SSOSSEQ2 = (1 − SSE/SSO)
Competitive intelligence1440.0001440.000-
Knowledge sharing720.000418.7440.418
Product development1260.000915.1800.274

Collinearity statistics(Source: Author's own research)

Competitive intelligenceKnowledge sharingProduct development
Competitive intelligence0.770--
Knowledge sharing0.7910.829-
Product development0.6180.6570.790

Demographic characteristics of the study sample(Source: Author's own research)

VariablesCategoryFrequencyPercentage
GenderMale11464%
Female6436%
Length in current jobLess than 5 years158.4%
From 5 years to less than 10 years4123%
From 10 years to less than 15 years6737.6%
15 years and above5531%
EducationDiploma52.8%
Bachelor's2413.5%
Master's13978.1%
PhD105.6%
Total-178100%

Measurement of reliability and convergent validity(Source: Author's own research)

Convergent validityInternal consistency
Latent variableItemFactor loadingAverage variance extracted (AVE)Composite reliabilityRho-ACronbach's alpha
>0.70>0.50>0.70->0.70
Competitive intelligenceCI10.7450.5930.9210.9040.902
CI20.785----
CI30.799----
CI40.732----
CI50.708----
CI60.832----
CI70.770----
CI80.783----
Knowledge sharingKS10.7770.6880.8980.8510.848
KS20.873----
KS30.845----
KS40.819----
Product developmentPD10.7520.6240.9200.9000.899
PD20.770----
PD30.805----
PD40.710----
PD50.848----
PD60.804----
PD70.830----

Mediation analysis(Source: Author's own research)

Bootstrapped confidence interval
Path aPath bIndirect effectSEt-value95% LL95% ULDecision
0.7910.4480.3540.0705.0620.2170.492Mediation

Means and standard deviations of responses(Source: Author's own research)

VariablesMeanStandard deviationsLevel
Competitive intelligence3.990.589Moderate
Knowledge sharing3.900.684Moderate
Product development4.380.591Moderate

Hypotheses testing(Source: Author's own research)

HPathPath coefficientst-valuep-valueRemarks
H1CI → PD0.2642.9070.004Supported
H2CI → KS0.79123.6560.000Supported
H3KS → PD0.4485.1090.000Supported
H4CI → KS → PD0.3545.0730.000Supported

Measurement of discriminant validity(Source: Author's own research)

Competitive intelligenceKnowledge sharingProduct development
Competitive intelligence0.770--
Knowledge sharing0.7910.829-
Product development0.6180.6570.790

R2 values(Source: Author's own research)

Competitive intelligenceR2R2 adjusted
Knowledge sharing0.6260.624
Product development0.4580.451

f2 effect sizes values(Source: Author's own research)

Competitive intelligenceKnowledge sharingProduct development
Competitive intelligence-1.6740.048
Knowledge sharing--0.138
Product development---
DOI: https://doi.org/10.2478/fman-2022-0010 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
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Language: English
Page range: 155 - 170
Published on: Dec 31, 2022
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
competitive intelligence,
knowledge sharing,
product development,
Structural Equation Modeling (SEM)
Related subjects:
Computer sciences,
Business computing,
Business and economics,
Business management,
Management accounting, financial controlling, cost calculation, investment

© 2022 Ahmad Nasser Abuzaid, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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