{"id":{"repo_id":"wustl","oai_identifier":"oai:openscholarship.wustl.edu:etd-2011"},"canonical_url":"https://search.dev.ndltd.org/etd/wustl/oai:openscholarship.wustl.edu:etd-2011","repository":{"repo_id":"wustl","name":"Washington University in St. Louis","base_url":"https://openscholarship.wustl.edu/do/oai/"},"display":{"title":"Manufacturer Product Line Decisions In Growing Consumer Technology Markets: A Case of Digital Cameras","abstract":"<p>The objective of this dissertation is to deepen our understanding of competitive and demand drivers of manufacturer new product introductions in consumer technology markets.</p><p>Researchers in economics and marketing commonly view differentiated products as combinations of \"attributes\" that are located in multi-attribute space. In first study presented in Chapter 2 of this dissertation, I conform to this common view of products as multi-attribute bundles and, therefore, carefully construct both a multi-attribute product space, as well as, and even more importantly, product clusters within this multi-attribute product space. I focus on the early stages of US Digital Cameras category: 1998-2000). Operationalizing and classifying all existing products in the category, as well as each new product introduction: when it occurs), on a common space of objective product attributes allows us to: 1) explicitly understand whether a given introduction is an incremental innovation or a radical innovation, and: 2) whether it is an introduction in to a cluster where the firm already has a strong presence or not etc. Further, it allows us to understand whether the new product introduction decisions of a firm are influenced by relative cluster characteristics which, in turn, are influenced by competitors' new product introductions in the different clusters etc. In the Chapter 2 of this dissertation I focus on two specific new product introduction decisions of digital camera manufacturers: timing and positioning. Additional insights are obtained from empirically estimating a pricing model using the same product cluster conceptual framework.</p><p>In Chapter 3, I study new product preannouncements, which have become commonplace in manufacturers product strategy in consumer technology markets. Here I undertake a detailed empirical analysis of the demand effects of product preannouncements within the digital cameras category. I estimate a new product adoption model using monthly data on product-level availability, sales and prices across hundreds of digital cameras that were introduced over a period of 4 years. I study the effects of the incidence and timing of a product preannouncement on demand for the preannounced product: i.e., digital camera model), as well as demand for its competitors. In doing this, I implicitly accommodate the impact of product preannouncements for individual products on category-level demand growth. Using a detailed model-based accounting of preannouncement effects, I separate the effects of a preannouncement on: 1) innovation and word-of-mouth components underlying demand for the preannounced product, and: 2) consumer preferences for preannounced product attributes. I demonstrate the managerial implications of the estimated preannouncement effects using a numerical experiment.</p>","abstract_html":"&lt;p&gt;The objective of this dissertation is to deepen our understanding of competitive and demand drivers of manufacturer new product introductions in consumer technology markets.&lt;/p&gt;&lt;p&gt;Researchers in economics and marketing commonly view differentiated products as combinations of &quot;attributes&quot; that are located in multi-attribute space. In first study presented in Chapter 2 of this dissertation, I conform to this common view of products as multi-attribute bundles and, therefore, carefully construct both a multi-attribute product space, as well as, and even more importantly, product clusters within this multi-attribute product space. I focus on the early stages of US Digital Cameras category: 1998-2000). Operationalizing and classifying all existing products in the category, as well as each new product introduction: when it occurs), on a common space of objective product attributes allows us to: 1) explicitly understand whether a given introduction is an incremental innovation or a radical innovation, and: 2) whether it is an introduction in to a cluster where the firm already has a strong presence or not etc. Further, it allows us to understand whether the new product introduction decisions of a firm are influenced by relative cluster characteristics which, in turn, are influenced by competitors&#x27; new product introductions in the different clusters etc. In the Chapter 2 of this dissertation I focus on two specific new product introduction decisions of digital camera manufacturers: timing and positioning. Additional insights are obtained from empirically estimating a pricing model using the same product cluster conceptual framework.&lt;/p&gt;&lt;p&gt;In Chapter 3, I study new product preannouncements, which have become commonplace in manufacturers product strategy in consumer technology markets. Here I undertake a detailed empirical analysis of the demand effects of product preannouncements within the digital cameras category. I estimate a new product adoption model using monthly data on product-level availability, sales and prices across hundreds of digital cameras that were introduced over a period of 4 years. I study the effects of the incidence and timing of a product preannouncement on demand for the preannounced product: i.e., digital camera model), as well as demand for its competitors. In doing this, I implicitly accommodate the impact of product preannouncements for individual products on category-level demand growth. Using a detailed model-based accounting of preannouncement effects, I separate the effects of a preannouncement on: 1) innovation and word-of-mouth components underlying demand for the preannounced product, and: 2) consumer preferences for preannounced product attributes. I demonstrate the managerial implications of the estimated preannouncement effects using a numerical experiment.&lt;/p&gt;","abstract_has_math":false,"creators":["Lakishyk, Kyryl"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Business Administration","degree_department":null,"school":null,"contributors":["Chakravarthi Narasimhan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-12-15T08:00:00Z","date_published":"2012-12-15T08:00:00Z","updated_at":"2026-07-24T06:13:23Z","subjects":["Demand Estimation","Digital Cameras","New Product Introductions","Product Competition","Product Preannouncements"],"languages":["English (en)"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7936/K78G8HQ6"],"render_values":[{"text":"https://doi.org/10.7936/K78G8HQ6","href":"https://doi.org/10.7936/K78G8HQ6","code":true}]}]},"links":{"outbound_url":"https://openscholarship.wustl.edu/etd/1011","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chakravarthi Narasimhan"]},{"key":"dc:creator","label":"Author","values":["Lakishyk, Kyryl"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2013-08-26T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Demand Estimation","Digital Cameras","New Product Introductions","Product Competition","Product Preannouncements"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English (en)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openscholarship.wustl.edu/etd/1011"]},{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7936/K78G8HQ6"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>The objective of this dissertation is to deepen our understanding of competitive and demand drivers of manufacturer new product introductions in consumer technology markets.</p><p>Researchers in economics and marketing commonly view differentiated products as combinations of \"attributes\" that are located in multi-attribute space. In first study presented in Chapter 2 of this dissertation, I conform to this common view of products as multi-attribute bundles and, therefore, carefully construct both a multi-attribute product space, as well as, and even more importantly, product clusters within this multi-attribute product space. I focus on the early stages of US Digital Cameras category: 1998-2000). Operationalizing and classifying all existing products in the category, as well as each new product introduction: when it occurs), on a common space of objective product attributes allows us to: 1) explicitly understand whether a given introduction is an incremental innovation or a radical innovation, and: 2) whether it is an introduction in to a cluster where the firm already has a strong presence or not etc. Further, it allows us to understand whether the new product introduction decisions of a firm are influenced by relative cluster characteristics which, in turn, are influenced by competitors' new product introductions in the different clusters etc. In the Chapter 2 of this dissertation I focus on two specific new product introduction decisions of digital camera manufacturers: timing and positioning. Additional insights are obtained from empirically estimating a pricing model using the same product cluster conceptual framework.</p><p>In Chapter 3, I study new product preannouncements, which have become commonplace in manufacturers product strategy in consumer technology markets. Here I undertake a detailed empirical analysis of the demand effects of product preannouncements within the digital cameras category. I estimate a new product adoption model using monthly data on product-level availability, sales and prices across hundreds of digital cameras that were introduced over a period of 4 years. I study the effects of the incidence and timing of a product preannouncement on demand for the preannounced product: i.e., digital camera model), as well as demand for its competitors. In doing this, I implicitly accommodate the impact of product preannouncements for individual products on category-level demand growth. Using a detailed model-based accounting of preannouncement effects, I separate the effects of a preannouncement on: 1) innovation and word-of-mouth components underlying demand for the preannounced product, and: 2) consumer preferences for preannounced product attributes. I demonstrate the managerial implications of the estimated preannouncement effects using a numerical experiment.</p>"]},{"key":"dc:title","label":"Title","values":["Manufacturer Product Line Decisions In Growing Consumer Technology Markets: A Case of Digital Cameras"]}]}],"canonical_facts":{"dc:contributor":["Chakravarthi Narasimhan"],"dc:creator":["Lakishyk, Kyryl"],"dc:date.available":["2013-08-26T07:00:00Z"],"dc:description.abstract":["<p>The objective of this dissertation is to deepen our understanding of competitive and demand drivers of manufacturer new product introductions in consumer technology markets.</p><p>Researchers in economics and marketing commonly view differentiated products as combinations of \"attributes\" that are located in multi-attribute space. In first study presented in Chapter 2 of this dissertation, I conform to this common view of products as multi-attribute bundles and, therefore, carefully construct both a multi-attribute product space, as well as, and even more importantly, product clusters within this multi-attribute product space. I focus on the early stages of US Digital Cameras category: 1998-2000). Operationalizing and classifying all existing products in the category, as well as each new product introduction: when it occurs), on a common space of objective product attributes allows us to: 1) explicitly understand whether a given introduction is an incremental innovation or a radical innovation, and: 2) whether it is an introduction in to a cluster where the firm already has a strong presence or not etc. Further, it allows us to understand whether the new product introduction decisions of a firm are influenced by relative cluster characteristics which, in turn, are influenced by competitors' new product introductions in the different clusters etc. In the Chapter 2 of this dissertation I focus on two specific new product introduction decisions of digital camera manufacturers: timing and positioning. Additional insights are obtained from empirically estimating a pricing model using the same product cluster conceptual framework.</p><p>In Chapter 3, I study new product preannouncements, which have become commonplace in manufacturers product strategy in consumer technology markets. Here I undertake a detailed empirical analysis of the demand effects of product preannouncements within the digital cameras category. I estimate a new product adoption model using monthly data on product-level availability, sales and prices across hundreds of digital cameras that were introduced over a period of 4 years. I study the effects of the incidence and timing of a product preannouncement on demand for the preannounced product: i.e., digital camera model), as well as demand for its competitors. In doing this, I implicitly accommodate the impact of product preannouncements for individual products on category-level demand growth. Using a detailed model-based accounting of preannouncement effects, I separate the effects of a preannouncement on: 1) innovation and word-of-mouth components underlying demand for the preannounced product, and: 2) consumer preferences for preannounced product attributes. I demonstrate the managerial implications of the estimated preannouncement effects using a numerical experiment.</p>"],"dc:identifier":["https://openscholarship.wustl.edu/etd/1011"],"dc:identifier.doi":["https://doi.org/10.7936/K78G8HQ6"],"dc:language":["English (en)"],"dc:subject":["Demand Estimation","Digital Cameras","New Product Introductions","Product Competition","Product Preannouncements"],"dc:title":["Manufacturer Product Line Decisions In Growing Consumer Technology Markets: A Case of Digital Cameras"],"thesis:degree_discipline":["Business Administration"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T06:13:23Z"}