Product Demography of De Novo and De Alio Firms in the Optical Disk Drive Industry, 1983–1999

Abstract

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Divergent Reactions to Convergent Strategies: Investor Beliefs and Analyst Reactions During Technological Change

“…Recent research that is more specific to the topic of firms' responses to technological change has suggested that institutional forces might affect different organizations differently. For instance, Sine, Haveman and Tolbert (2005) suggest there are differential institutional implications for firms that invest in new technologies versus existing technologies, while Khessina and Carroll (2008) show that de novo firms might be forced to conform more to institutional expectations than de alio firms. In contrast, our work addresses the systematic divergence in pressures from institutions for de alio firms from different industries that are following similar product-market strategies using the same technology.…”

The Social Lives of Products:Analyzing Product Demography for Management Theory and Practice

“…Indeed, high product entry rates associate empirically with high demand (Connor, 1981) and with large market size (Ingram & Roberts, 1999). Likewise, low product disappearance rates correspond with high demand (de Figueiredo & Kyle, 2006), low demand uncertainty (Astebro & Michela, 2005;Hitsch, 2006), high initial revenues (Chisholm & Norman, 2006), and high sales and shipments in complementary and symbiotic industries (Cottrell & Nault, 2004;de Figueiredo & Kyle, 2006;Khessina & Carroll, 2008).…”

“…Nonetheless, Khessina and Carroll (2008) found that after controlling for product entry, products entering later in an industry display higher exit rates (Khessina & Carroll, 2008); another study found an inverted U-shape relationship between the order of product entry and product exit (Requena-Silvente & Walker, 2009). …”

“…As a result, aging products satisfy consumer preferences less well and, therefore, disappear from the market faster than newer products (Greenstein & 8 Wade, 1998;Cottrell & Nault, 2004). The effect of product age on its survival is widely accepted; it is one of few factors consistently controlled for across different product survival studies (de Figueiredo & Kyle, 2006;Fosfuri et al, 2008;Hitsch, 2006;Iizuka, 2007;Khessina & Carroll, 2008;Requena-Silvente & Walker, 2005;2009;Ruebeck, 2002;, Stavins, 1995.…”

“…Researchers theorize and find that products with performance close to the technological frontier appeal more to customers and, therefore, stay on the market longer (Astebro & Michela, 2005;de Figueiredo & Kyle, 2006;Khessina & Carroll, 2008;Requena-Silvente & Walker, 2009;Ruebeck, 2005;Stavins, 2005). In the laser printer industry, (Bayus, 1998).…”