2019
DOI: 10.1108/jstpm-06-2018-0061
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The influence of business innovation with relationship of organizational learning and job satisfaction on market orientation

Abstract: Purpose This paper aims to reveal the effect of organizational learning on market orientation, job satisfaction on market orientation, organizational learning on business innovation, job satisfaction on business innovation and market orientation on business innovation. Design/methodology/approach Research was designed to use quantitat… Show more

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Cited by 7 publications
(11 citation statements)
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References 20 publications
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“…The result of this research is consistent with researches conducted by Narver & Slater (1990); Jyoti & Sharma (2012); Šályová et al (2015); Rodrigues & Pinho (2010); Andotra & Gupta (2016); Nguyen (2018) that market orientation influences significantly on corporate performance. However, this research differs from previous research findings that market orientation insignificantly influenced (Kajalo & Lindblom, 2015), or negatively influenced on firm performances (Acosta et al, 2018;Idrus et al, 2019).…”
Section: Discussioncontrasting
confidence: 99%
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“…The result of this research is consistent with researches conducted by Narver & Slater (1990); Jyoti & Sharma (2012); Šályová et al (2015); Rodrigues & Pinho (2010); Andotra & Gupta (2016); Nguyen (2018) that market orientation influences significantly on corporate performance. However, this research differs from previous research findings that market orientation insignificantly influenced (Kajalo & Lindblom, 2015), or negatively influenced on firm performances (Acosta et al, 2018;Idrus et al, 2019).…”
Section: Discussioncontrasting
confidence: 99%
“…We used bootstrapping from SMART-PLS 3.0 to test the hypothesis. If T values is higher than 1.96 and P values are lower than 0.05, then the two variables have significant relationship (Hair et al, 2017;Idrus et al, 2019;.…”
Section: Methodology and Data Collectionmentioning
confidence: 99%
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“…For running PLS-SEM, we used the SmartPLS software version 3.2.7.PLS-SEM is a powerful technique which has become popular among social scientist since the past decade. The Partial Least Squares technique is a powerful component-based method widely used in prior studies (Ali et al, 2020;Aris et al, 2019;Asiaei and Rahim, 2019;Benny and Stefanus, 2019;Farrukh et al, 2019b;Al Idrus et al, 2019;Jnr, 2019;Morais et al, 2020;Parisa et al, 2020;Raza et al, 2020;Saide et al, 2019aSaide et al, , 2019bShahzad et al, 2018;Sivathanu, 2018;Yasser et al, 2019).…”
Section: Discussionmentioning
confidence: 99%