2015
DOI: 10.1016/j.ijpe.2014.09.007
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Contextual variety, Internet-of-Things and the choice of tailoring over platform: Mass customisation strategy in supply chain management

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Cited by 97 publications
(68 citation statements)
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References 33 publications
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“…Overall, the findings of this study fill some of the highlighted literature gap of related studies about IoT adoption and its potential (e.g. Borgia, 2014;Lee and Lee, 2015;Madakam et al, 2015;Mishra et al, 2016;Ng et al, 2015;Russo et al, 2015;Whitmore et al, 2014;Zhou et al, 2015).…”
Section: Research Theoretical Contributionsupporting
confidence: 62%
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“…Overall, the findings of this study fill some of the highlighted literature gap of related studies about IoT adoption and its potential (e.g. Borgia, 2014;Lee and Lee, 2015;Madakam et al, 2015;Mishra et al, 2016;Ng et al, 2015;Russo et al, 2015;Whitmore et al, 2014;Zhou et al, 2015).…”
Section: Research Theoretical Contributionsupporting
confidence: 62%
“…The IoT has opened up a completely new set of opportunities for research and practice in SCM (Ng et al, 2015). Mishra et al (2016) proposed four future potential research themes two of which were directly related to IoT adoption in supply chains as follows: 'What are the drivers and barriers of IoT implementation and adoption?…”
Section: Introductionmentioning
confidence: 99%
“…to external intelligence (Anderson, 2012;Brynjolfsson & McAfee, 2012)  Enable self-service manufacturing (Andersonson, 2012;Ng, Scharf, Pogrebna, Maull, 2015;Rifkin, 2014)  Increase system uncertainty by connecting hitherto isolated systems  Challenge of data and information reliability (Geisberger & Broy, 2015, pp. 77-79 Sicari, Rizzardi, Grieco,L, Coen-Porisini, 2015)  Potential industry disruption by disintermediation and new competition through start-ups and Internet-driven businesses (Anderson, 2012, Brynjolfsson & MacAfee, 2012) Sensors  Reveal information on manufacturing processes and their environment (Ng, Scharf, Pogrebna, Maull, 2015;Rifkin, 2014)  Threatens intellectual property, know-how and intelligence (Geisberger & Broy, 2015, pp.…”
mentioning
confidence: 99%
“…77-79 Sicari, Rizzardi, Grieco,L, Coen-Porisini, 2015)  Potential industry disruption by disintermediation and new competition through start-ups and Internet-driven businesses (Anderson, 2012, Brynjolfsson & MacAfee, 2012) Sensors  Reveal information on manufacturing processes and their environment (Ng, Scharf, Pogrebna, Maull, 2015;Rifkin, 2014)  Threatens intellectual property, know-how and intelligence (Geisberger & Broy, 2015, pp. 84-85) Actuators  Enable remote and self-service manufacturing (Anderson, 2012;Ng, Scharf, Pogrebna, Maull, 2015;Rifkin, 2014)  Safety and security of manufacturing information, e.g., protecting against sabotage (Geisberger & Broy, 2015, pp. 82-84) IT-driven services like AI and big data analytics  Apply AI to manufacturing operations (Brynjolfsson & McAfee, 2012)  Transform manufacturing into a service (Ng, Scharf, Pogrebna, & Maull, 2015)  Privacy and know-how protection against unauthorized use of data (Geisberger & Broy, 2015, pp.…”
mentioning
confidence: 99%
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