2016
DOI: 10.1504/emjm.2016.078849
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'Competitive innovation matrix': a framework for open innovation

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Cited by 3 publications
(2 citation statements)
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“…ICs can play a significant role in achieving competitive advantage for the firm (Agyapong et al, 2018) because, according to the perspective of resource based theory, these capabilities can change the working abilities of the firms and enable them to improve their overall work settings, quality and standards to survive in a business environment (Lawson and Samson, 2001;Acquaah and Agyapong, 2015). Therefore, IC is often studied with other related concepts such as innovation capacity (Agyapong et al, 2018), frugal innovation (Dost et al, 2019), competitive innovation (Saba et al, 2016) and innovativeness (Kalyar et al, 2019). SMEs of emerging markets can only get a competitive advantage by providing different and quality products or services, which is only possible by focusing on innovative and structural capabilities.…”
Section: Knowledge On Frugal Innovationmentioning
confidence: 99%
“…ICs can play a significant role in achieving competitive advantage for the firm (Agyapong et al, 2018) because, according to the perspective of resource based theory, these capabilities can change the working abilities of the firms and enable them to improve their overall work settings, quality and standards to survive in a business environment (Lawson and Samson, 2001;Acquaah and Agyapong, 2015). Therefore, IC is often studied with other related concepts such as innovation capacity (Agyapong et al, 2018), frugal innovation (Dost et al, 2019), competitive innovation (Saba et al, 2016) and innovativeness (Kalyar et al, 2019). SMEs of emerging markets can only get a competitive advantage by providing different and quality products or services, which is only possible by focusing on innovative and structural capabilities.…”
Section: Knowledge On Frugal Innovationmentioning
confidence: 99%
“…This re-emphasizes the difficulty in obtaining highly reproducible identifications from repeated MS analyses, even from the same wet preparation, a statement already pointed out by those who dared the comparison, even on much less complex samples. This is of course inherent to the traditional data-dependent acquisition (DDA), which is plagued by the stochastic nature of precursor selection and low sampling efficiency at the lower end of the dynamic range, due to the limited speed of mass spectrometers . This is still more challenging in metaproteomics where a myriad of low-abundance precursors are embedded within each injection.…”
Section: Results and Discussionmentioning
confidence: 99%