2017
DOI: 10.1111/poms.12649
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Product Introduction Strategies under Sequential Innovation for Durable Goods with Network Effects

Abstract: When network effects are important and technology is rapidly improved, this study explores the relative optimality of five product introduction strategies of a durable goods manufacturer: (1) replacement, (2) skipping, (3) a delayed line, (4) shelving, and (5) line‐extension. Using a two‐period analytical model, we show how the type of compatibility—either full or backward compatibility—and the magnitude of the network effect influence the manufacturer's preference for the above strategies. Our analysis reveal… Show more

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Cited by 21 publications
(13 citation statements)
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References 56 publications
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“…Sale et al [3] presented a model that simultaneously determines the optimal timing for the introduction of new product generations, pricing, production timing, and produced quantities. Chau and Desiraju [4] explored the relative optimality of five product-introduction strategies of a durable goods manufacturer: replacement, skipping, a delayed line, shelving, and line-extension. Kirshner et al [5] advised that brand commitment and the risk of product failure play an important role in the timing of upgrades for a durable product.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Sale et al [3] presented a model that simultaneously determines the optimal timing for the introduction of new product generations, pricing, production timing, and produced quantities. Chau and Desiraju [4] explored the relative optimality of five product-introduction strategies of a durable goods manufacturer: replacement, skipping, a delayed line, shelving, and line-extension. Kirshner et al [5] advised that brand commitment and the risk of product failure play an important role in the timing of upgrades for a durable product.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Sun et al [18] use the expected network size and the strength of the network effect to characterize consumers' utility. Chau and Desiraju [19] describe network benefits through the total number of consumers who purchase early and the influence of the installed base on consumers' willingness to pay. Especially due to the development of computing technology, "personal interaction" has been incorporated into the purchasing process.…”
Section: Literature Reviewmentioning
confidence: 99%
“…As the network effects exist, we can avoid considering the situation where all consumers enter the market when M is sufficiently large. at is, β is assumed to have no finite lower limit so as to avoid considering corner solutions [18,19,30]. e larger β is, the more sensitive consumers are to the innovation level.…”
Section: Individual's Decision-makingmentioning
confidence: 99%
“…3 In addition, some software vendors adopt the Line-extension Strategy i.e., release a low-quality version first and extend the product line by releasing a high-quality version later and sell both versions simultaneously. For instances, Adobe Acrobat 3D was added to the product line of Adobe Acrobat in 2005, 4 Adobe Premiere Pro was added to the product line of Adobe Premiere Elements in 2003, 5 and Dishonored 2 was added to the line of the old version Dishonored in 2016. In this case, after the release of the high-quality version, the low-quality version is still available on the market, and consumers could purchase either version.…”
Section: Introductionmentioning
confidence: 99%
“…Word-of-mouth (WOM), involving information communication among consumers on products or services, is generally considered to affect consumers' adoptions through influencing their perceptions about product value, namely, positive WOM enhances expected quality while negative WOM reduces it [3,4]. When choosing from such sequential releasing strategies, the WOM effect bridging sequential periods is a vital factor for firms to consider, because the valuation of consumers for a newer high-quality product can be significantly affected by the older low-quality product [5]. Namely, consumers buying the older low-quality version may generate (positive or negative) WOM effect, which will have an impact on the valuation of the future consumers for the newer high-quality product.…”
Section: Introductionmentioning
confidence: 99%