2015
DOI: 10.1002/smj.2401
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Does experience imply learning?

Abstract: Research summary: Research traditionally uses experiential learning arguments to explain the existence of a positive relationship between repetition of an activity and performance. We propose an additional interpretation of this relationship in the context of discrete corporate development activities. We argue that firms choose to repeat successful activities, thereby accumulating high experience with them. Data on 437 aircraft projects introduced through three governance modes show that the positive performan… Show more

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Cited by 77 publications
(47 citation statements)
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“…The lack of significant effect might be explained by the fact that, over time, firms may re-select the same service providers with whom they have developed trustful relationships that compensate for the lack of direct control (e.g., Levina & Su, 2008;Manning, Lewin, & Schuerch, 2011). Or it may reflect that past experience and learning are two related but different things, and the former does not necessarily imply the latter (e.g., Anand, Mulotte, & Ren, 2015).…”
Section: Main Modelsmentioning
confidence: 90%
“…The lack of significant effect might be explained by the fact that, over time, firms may re-select the same service providers with whom they have developed trustful relationships that compensate for the lack of direct control (e.g., Levina & Su, 2008;Manning, Lewin, & Schuerch, 2011). Or it may reflect that past experience and learning are two related but different things, and the former does not necessarily imply the latter (e.g., Anand, Mulotte, & Ren, 2015).…”
Section: Main Modelsmentioning
confidence: 90%
“…The actors initiate particular moves to improve their standing and because in the short run those moves often generate desired effects, they prematurely ''learn'' through immediate positive reinforcement that those moves were successful. This myopic bracketing of reality, however, cordons off causes from their delayed effects, and thereby fosters pseudo-learning or superstitious learning from experience (Anand et al, 2016). Instead, elongated time horizons and patience are needed before being able to judge a competitive move as successful: whether it is indeed successful depends on the success or failure of the iterative lagged asymmetric response it triggers, as reminded by the vernacular expression ''it's not over until it's over.''…”
Section: Discussionmentioning
confidence: 99%
“…market for a given year. Our measurement of Competition-I is arguably supported in prior literature (Anand, Mulotte, & Ren, 2016;Barroso & Giarratana, 2013;Danzon & Sousa Pereira, 2011;Federico, Langus, & Valletti, 2018;Gil & Ruzzier, 2018;Mulotte, 2014;Mulotte, Dussauge, & Mitchell, 2013;Tripsas, 1997). Competition-II has been computed based on the entropy measure that takes into account the number of models and firms (Frenken, Hekkert, & Godfroij, 2004;Wesseling, Faber, & Hekkert, 2014).…”
Section: Competitionmentioning
confidence: 89%
“…We have measured R&D intensity as the ratio of the firm's R&D expenditures to total sales in the given year (Eberhart, Maxwell, & Siddique, 2008;Manikandan & Ramachandran, 2015). Like R&D intensity, innovation experience may also influence firm capabilities and ultimately the vertical integration decision (Anand et al, 2016;Eggers, 2012;King & Tucci, 2002;Klepper, 2004). Before the introduction of HEV, some automakers experimented with different green vehicle technologies such as ethanol (E85), compressed natural gas (dedicated and bi-fuel), propane (dedicated and bi-fuel), hydrogen, methanol (M85), and electric vehicle.…”
Section: Control Variablesmentioning
confidence: 99%