The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform
Donald Gerwin - One of the best experts on this subject based on the ideXlab platform.
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Involvement of system firms in the development of Complementary Products: The influence of novelty
Technovation, 2008Co-Authors: Jan Van Den Ende, Ferdinand Jaspers, Donald GerwinAbstract:This paper focuses on the involvement of system firms in the development of Complementary Products to their systems. The central question is: to what extent do the novelty of the system and the novelty of the Complementary Product affect the appropriate degree of involvement of system firms in the development of Complementary Products? A system firm has several options: it may develop the Complementary Product completely by itself, it can leave the development completely to a specialized producer of Complementary Products, or it can apply different forms of collaboration with such specialized firms. This paper presents a model for the most appropriate degree of involvement of the system firm contingent upon the degrees of novelty of the system and the novelty of the Complementary Product. Basic to the model are two objectives of firms developing a new Complementary Product: the reduction of information and transaction costs in the development process, and the timely creation of installed base of the novel system and/or Complementary Product. We performed a pilot test of the model using data on new service development projects in mobile telecommunications. The results show that the novelty of the system and Complementary Product indeed affect the expected performance effects of system firm involvement. Particularly when the system is mature and the Complementary Product new, the system firm could better leave Complementary Product development to a specialized external firm. In other cases, the system firm can choose its degree of involvement from low to either medium or high, depending on novelty conditions.
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ORGANIZING THE DEVELOPMENT OF Complementary ProductS: THE INFLUENCE OF NOVELTY.
Academy of Management Proceedings, 2006Co-Authors: Jan Van Den Ende, Ferdinand Jaspers, Donald GerwinAbstract:Complementary Product development projects can be performed by either the system firm, a specialized producer of Complementary Products or by both in a collaborative organizational form. This paper...
Qiong Zhang - One of the best experts on this subject based on the ideXlab platform.
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SIGIR - Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017Co-Authors: Huasha Zhao, Qiong ZhangAbstract:Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification is generally measured by message open rate. A push message can contain a recommended Product, a shopping news and etc., but often only one or two items can be shown in the push message due to the limit of display space. This paper proposes a mixture model approach for predicting push message open rate for a post-purchase Complementary Product recommendation task. The mixture model is trained to learn latent prediction contexts, which are determined by user and item profiles, and then make open rate predictions accordingly. The item with the highest predicted open rate is then chosen to be included in the push notification message for each user. The parameters of the mixture model are optimized using an EM algorithm. A set of experiments are conducted to evaluate the proposed method live with a popular E-Commerce mobile app. The results show that the proposed method is superior than several existing solutions by a significant margin.
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Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
arXiv: Information Retrieval, 2017Co-Authors: Huasha Zhao, Qiong ZhangAbstract:Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification is generally measured by message open rate. A push message can contain a recommended Product, a shopping news and etc., but often only one or two items can be shown in the push message due to the limit of display space. This paper proposes a mixture model approach for predicting push message open rate for a post-purchase Complementary Product recommendation task. The mixture model is trained to learn latent prediction contexts, which are determined by user and item profiles, and then make open rate predictions accordingly. The item with the highest predicted open rate is then chosen to be included in the push notification message for each user. The parameters of the mixture model are optimized using an EM algorithm. A set of experiments are conducted to evaluate the proposed method live with a popular E-Commerce mobile app. The results show that the proposed method is superior than several existing solutions by a significant margin.
Jan Van Den Ende - One of the best experts on this subject based on the ideXlab platform.
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Should System Firms Develop Complementary Products? A Dynamic Model and an Empirical Test†
Journal of Product Innovation Management, 2013Co-Authors: Jan Van Den Ende, Ferdinand Jaspers, Serge A. RijsdijkAbstract:While Nintendo develops many video games internally, Apple is only marginally involved in the development of iPhone applications. This paper addresses the question: to what extent and how should system firms be involved in the development of Complementary Products for their �core Products�? These core Products may include video consoles, electronic book readers, etc. This is a highly relevant question, because the success of core Products depends strongly on their Complementary Products, e.g., video games and electronic books. This study proposes a dynamic model for the degree that system firms should be involved in Complementary Product development by considering, as contingency factors, the novelty of the core, and the novelty of the Complementary Products. Both novelties influence the degree to which system firms should be involved in the development of Complementary Products. In terms of a system firm's involvement, this study makes a distinction between the degree of integration and the degree of ownership. The degree of integration reflects the extent to which the system firm is actively involved in the coordination of the Complementary Product, e.g., to ensure that the Complementary Product is optimally aligned with its core Product and that the full potential of the core Product is achieved. The degree of ownership reflects the extent to which the system firm finances the development of the Complementary Product and therefore, the degree of formal control authority over the Complementary Product. This model was tested using data from a survey of 99 development projects for mobile telecommunications applications. The results reveal that integration by the system firm contributes to the performance of Complementary Products for new core Products but has a negative effect if a new complement is developed for a mature core Product. In addition, ownership contributes to performance if both the core and Complementary Products are new. In other circumstances, a clear effect of ownership by the system firm on performance is not found. The implications of our findings are that system firms should be strongly involved in Complementary Product development when they introduce a new core Product, and even more so if the Complementary Products are new. However, they should decrease their degree of involvement over time as the core Product matures and, again, even more so if the Complementary Product is new. The paper concludes by providing practical implications for system firms in the mobile telecommunications industry and beyond.
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Involvement of system firms in the development of Complementary Products: The influence of novelty
Technovation, 2008Co-Authors: Jan Van Den Ende, Ferdinand Jaspers, Donald GerwinAbstract:This paper focuses on the involvement of system firms in the development of Complementary Products to their systems. The central question is: to what extent do the novelty of the system and the novelty of the Complementary Product affect the appropriate degree of involvement of system firms in the development of Complementary Products? A system firm has several options: it may develop the Complementary Product completely by itself, it can leave the development completely to a specialized producer of Complementary Products, or it can apply different forms of collaboration with such specialized firms. This paper presents a model for the most appropriate degree of involvement of the system firm contingent upon the degrees of novelty of the system and the novelty of the Complementary Product. Basic to the model are two objectives of firms developing a new Complementary Product: the reduction of information and transaction costs in the development process, and the timely creation of installed base of the novel system and/or Complementary Product. We performed a pilot test of the model using data on new service development projects in mobile telecommunications. The results show that the novelty of the system and Complementary Product indeed affect the expected performance effects of system firm involvement. Particularly when the system is mature and the Complementary Product new, the system firm could better leave Complementary Product development to a specialized external firm. In other cases, the system firm can choose its degree of involvement from low to either medium or high, depending on novelty conditions.
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ORGANIZING THE DEVELOPMENT OF Complementary ProductS: THE INFLUENCE OF NOVELTY.
Academy of Management Proceedings, 2006Co-Authors: Jan Van Den Ende, Ferdinand Jaspers, Donald GerwinAbstract:Complementary Product development projects can be performed by either the system firm, a specialized producer of Complementary Products or by both in a collaborative organizational form. This paper...
Lamar Pierce - One of the best experts on this subject based on the ideXlab platform.
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motivation matters corporate scope and competition in Complementary Product markets
Strategic Management Journal, 2016Co-Authors: Victor Manuel Bennett, Lamar PierceAbstract:Research summary: We argue that a pure capabilities-based view does not accurately explain the competitive dynamics of increasingly common settings in which firms act as both complementors and competitors. We propose that the Awareness-Motivation-Capability framework is more appropriate for these settings. We derive predictions from both a pure capabilities view and the AMC framework, and test those predictions in the U.S. auto leasing market, in which the leasing subsidiaries of car manufacturers directly compete with the same independent lessors who provide complements to the manufacturers. Although our results are consistent with capabilities playing an important role, motivation appears to be a critical factor explaining the competitive dynamics of the market. Managerial summary: Firms that compete with business units owned by larger corporate parents face additional considerations. Such subsidiary competitors can be motivated by broader corporate considerations, shifting their objectives, and consequently, their strategic actions. Expecting subsidiary competitors to pursue business unit profitability can mislead managers toward pricing, Product mix, or market entry errors. We present an important example from consumer finance, where independent auto lessors, such as Bank of America (BoA), compete with captive leasing subsidiaries like Ford Motor Credit (FMC). Since FMC is motivated to subsidize and support vehicle sales for its manufacturer parent, a cost advantage is not enough for BoA to dominate the market. Understanding broader corporate motivations of competitors helps managers anticipate competition levels in potential markets, thereby improving decision-making and performance. Copyright © 2015 John Wiley & Sons, Ltd.
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motivation matters corporate scope and competition in Complementary Product markets
Social Science Research Network, 2015Co-Authors: Victor Manuel Bennett, Lamar PierceAbstract:We argue that a pure capabilities-based view does not accurately explain the competitive dynamics of increasingly common settings where firms act as both complementors and competitors. We propose that the Awareness-Motivation-Capability framework is more appropriate for these settings. We derive predictions from both a pure capabilities view and the AMC framework and test those predictions in the United States auto leasing market, where the leasing subsidiaries of car manufacturers directly compete with the same independent lessors who provide complements to the manufacturers. Although our results are consistent with capabilities playing an important role, motivation appears to be a critical factor explaining the competitive dynamics of the market.
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big losses in ecosystem niches how core firm decisions drive Complementary Product shakeouts
Strategic Management Journal, 2009Co-Authors: Lamar PierceAbstract:This study examines shakeouts in the context of business ecosystems. Market turbulence generated by core firm decisions in competing differentiated ecosystems can generate financial losses and exit for Complementary niche market firms. I develop hypotheses predicting which niche markets will suffer larger losses and be more susceptible to shakeouts, and how core firm decisions will drive complementor performance and survival. I then apply these hypotheses to brand-based differentiated ecosystems in the automotive industry, where networks of suppliers, customers, and complementors surround car manufacturers. More specifically, I study the Complementary niche market of automotive leasing, where manufacturers sway leasing markets through Product change, entry, and subsidization. To test the hypotheses, I use a proprietary dataset of 200,000 individual car leases between 1997–2002 to identify how manufacturer Product design and niche market entry drive complementor losses and exit. These data allow a unique opportunity to understand how the strategic choices of core firms can have substantial and often devastating effects on niche markets in their ecosystem. Further, the results suggest how the dynamic capabilities to adapt to core firm behavior might improve performance for certain niche market complementors. Copyright © 2008 John Wiley & Sons, Ltd.
Huasha Zhao - One of the best experts on this subject based on the ideXlab platform.
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SIGIR - Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017Co-Authors: Huasha Zhao, Qiong ZhangAbstract:Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification is generally measured by message open rate. A push message can contain a recommended Product, a shopping news and etc., but often only one or two items can be shown in the push message due to the limit of display space. This paper proposes a mixture model approach for predicting push message open rate for a post-purchase Complementary Product recommendation task. The mixture model is trained to learn latent prediction contexts, which are determined by user and item profiles, and then make open rate predictions accordingly. The item with the highest predicted open rate is then chosen to be included in the push notification message for each user. The parameters of the mixture model are optimized using an EM algorithm. A set of experiments are conducted to evaluate the proposed method live with a popular E-Commerce mobile app. The results show that the proposed method is superior than several existing solutions by a significant margin.
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Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach
arXiv: Information Retrieval, 2017Co-Authors: Huasha Zhao, Qiong ZhangAbstract:Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification is generally measured by message open rate. A push message can contain a recommended Product, a shopping news and etc., but often only one or two items can be shown in the push message due to the limit of display space. This paper proposes a mixture model approach for predicting push message open rate for a post-purchase Complementary Product recommendation task. The mixture model is trained to learn latent prediction contexts, which are determined by user and item profiles, and then make open rate predictions accordingly. The item with the highest predicted open rate is then chosen to be included in the push notification message for each user. The parameters of the mixture model are optimized using an EM algorithm. A set of experiments are conducted to evaluate the proposed method live with a popular E-Commerce mobile app. The results show that the proposed method is superior than several existing solutions by a significant margin.