2014
DOI: 10.1111/jpim.12256
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The Dive and Disruption of Successful Current Products: Measures, Global Patterns, and Predictive Model

Abstract: This study examines the diffusion of pairs of substitute products (current versus new) in five categories across 86 countries between 1977 and 2011. The study finds that current products reach a peak at about 56% of market penetration. Subsequently, they suffer a dramatic decrease in penetration of 286%, which we call the dive. A dive occurs in 96% of current products in five categories across 86 countries between 1977 and 2011. On average, the time from takeoff of new product to a peak in penetration of th… Show more

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Cited by 23 publications
(3 citation statements)
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References 62 publications
(78 reference statements)
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“…To sum up, there is ambiguity over the role of existing knowledge assets in disruptive innovation. Recently, Fenech and Tellis [22] addressed the metrics, patterns, drivers, and predictive models of the dive and disruption of an existing product. Santoro et al [23] investigated the relationship between a knowledge management system, open innovation, knowledge management capacity, and innovation capacity.…”
Section: Introductionmentioning
confidence: 99%
“…To sum up, there is ambiguity over the role of existing knowledge assets in disruptive innovation. Recently, Fenech and Tellis [22] addressed the metrics, patterns, drivers, and predictive models of the dive and disruption of an existing product. Santoro et al [23] investigated the relationship between a knowledge management system, open innovation, knowledge management capacity, and innovation capacity.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main drivers of disruption is new product introductions (Palacios Fenech & Tellis, 2016; Peres et al., 2010) and insights on potential success are crucial to determine market share and defensive strategies (e.g., Kumar et al., 2020; Roberts et al., 2005). Predicting the success of new products prior to launch is a challenging task (Goodwin et al., 2013; Trusov et al., 2013), but recent studies suggest that prerelease buzz (PRB) information can substantially improve new product forecasting (e.g., Kim et al., 2015; Schaer et al., 2019b; Xiong & Bharadwaj, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Not only are product life cycles shorter and more dynamic because of industry or market logics (Werker 2003) but also current products are replaced at a faster pace because of the technology in a certain market or industry (Palacios Fenech and Tellis 2015). Growth is furthermore explained by industries and markets in which product standards, technology, intelligence, branding, or collusion enable a few actors to develop oligopolies while constraining others by strong entry barriers (Caves and Porter 1977).…”
Section: Behavioral Theories In Accounting and Management Controlmentioning
confidence: 99%