Archives: Literature


Abstract: The paper that I authored and that was published in Management Science in 1969 (Bass 1969) has become widely known as the “Bass Model” (see Morrison and Raju 2004). The model of the diffusion of new products and technologies developed in the paper is one of the most widely applied models in management science. It was especially gratifying for me to learn that INFORMS members have voted the “Bass Model” paper as one of the Top 10 Most Influential Papers published in the 50-year history of Management Science in connection with the 50th anniversary of the journal. In this commentary on the paper I shall discuss some background and history of the development of the paper, the reasons why the model has been influential, some important extensions of the model, some examples of applications, and some examples of the frontiers of research involving the Bass Model. In the current period, in which there is much discussion about the marketing of applications of management science methods and practice, I hope that this commentary will be useful in providing insights about some of the properties of models that will be applied.


An interesting set of comments by Bass on his work, after it had been selected one of the 10 most influential papers in the journal Management Science (for its 50th year anniversary publication).
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Abstract: The purpose of this work is to identify and analyze consumer resistance in order to understand this concept in the area of resistant behavior. The paper converges on studying the resistance to innovation from a theoretical perspective and to show it importance in innovation process. The paper concludes by describing the complexity of resistance to innovation, its forms and effects on the behavior of consumers and market. Although most authors focus their research on positive adoption decisions, this paper instead focus on developing insight into the relatively underdeveloped area of resistant behavior literature by presenting key concepts of resistance to innovation.


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Abstract: Although firms are faced by a large number of market introduction failures, research into a major driver of these failures, customer resistance to innovation, is surprisingly scarce. While most authors have investigated positive adoption decisions, this paper focuses instead on consumer resistance to innovation. The current study presents a conceptual framework which explicates the major components of consumer resistance: (1) rejection, (2) postponement, and (3) opposition, and discusses two main groups of antecedents to consumer resistance: (1) degree of change required and (2) conflicts with the consumer’s prior belief structure. This framework is explored with both a literature review and a qualitative focus group study. These joint efforts result in the formulation of a model of consumer resistance. Finally, the authors discuss several relevant theoretical and strategic implications, and point out directions for future research.


Includes an interesting resistance hierarchy
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Abstract: The motive behind this conceptual study is to explore and pinpoint consumer resistance towards innovation to know the idea in the field of technological innovation and its resistance behavior. This study aim is to investigate the consumer resistance to innovation from the theoretical point of view and represent its significance in the process of innovation. The study analyze and summarize the complication of resistance to innovation and its effects on consumer attitude towards innovation as well as its effects on the consumer market. Previous mainstream literature focused on the innovation adoption but this study focusing on consumer resistance to innovation by showing its significant ideas about resistance to innovation


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Abstract: We extend the Bass diffusion model to capture the dynamic adoption and competitive pricing of two smartphone brands: Apple and Samsung. We use publicly available historical data to regress the model parameters. We find our model to reasonably fit the data, and we provide some insights on the competition between the smartphones brands with respect to our model and the available data.


I use part of the graph in this paper in my discussion of Bass’ model of diffusion.
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Abstract: The diffusion model developed by Bass (1969) constitutes an empirical generalization. It represents a pattern or regularity that has been shown to repeat over many new products and services in many countries and over a variety circumstances. Numerous and various applications of the model have lead to further generalizations. Modifications and extensions of the model have lead to further generalizations. In addition to the empirical generalizations that stem from the model, we discuss here some of the managerial applications of the model.


Summarises research into coefficients p and q in Bass’ model and gives average, min and max observed values. Takes Rogers’ standard decision based adopter categories and reapplied with this model and practice. Percentages are remarkably close, but there are differences. Especially in innovators: 0.2-2.8% compared to Rogers fixed 2.5%. And in early adopters: 9.5-20% compared […]
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Abstract: Services are fast overtaking manufacturing to form a dominant proportion of the world economy. Service innovation is increasingly seen as a vector of sustainable growth and competitive advantage at the firm-, industry- and economy-level. Innovation started evolving as a key discipline of research over the twentieth century. Initially, innovation research was predominantly focused on science and technology and the new product development approach for commercializing ideas and inventions mainly in the manufacturing industry. With the increasing growth of services in today’s organizations and economy, the importance of understanding service innovation concepts and practices has been on the rise. Over the last two decades, researchers have hence been directing attention to innovation in the context of services. Today, service innovation has evolved into a vast field encompassing the study of intangible processes and dynamic interactions among technological and human systems that lead to managerial and organizational change in services. The literature on service innovation is expanding into a diverse and cross-disciplinary body of knowledge scattered across economics, marketing, organizational science, and management perspectives. The purpose of this chapter is to cut through this complexity and diversity in the streams of extant service innovation literature, and provide a holistic overview of the literature in this rapidly growing field. Organized across three broad themes: Overview of Service Innovation, The Dynamic and Systemic Process of Service Innovation, and Management of Service Innovation; this chapter presents a consolidated guide to the service innovation concepts and practices.


    1 Background 2 Service Innovation: An Overview 2.1 Service Innovation and Its Characteristics 2.2 Classification of Service Innovation 3 The Dynamic and Systemic Process of Service Innovation 3.1 Service Design and New Service Development 3.2 Open and Collaborative Processes of Service Innovation 3.3 Customer as a Co-creator of Service Innovation 3.4 Systemic Diffusion […]
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Abstract: In the unfolding knowledge-based economy, services do matter. But while they are increasingly seen to play a pivotal role in innovation processes, there is little by way of a systematic view of this role. This essay presents a four dimensional model of (services) innovation, that points to the significance of such non-technological factors in innovation as new service concepts, client interfaces and service delivery system. The various roles of service firms in innovation processes are mapped out by identifying 5 basic service innovation patterns. This framework is used to make an analysis of the role played by Knowledge Intensive Business Services (KIBS) in innovation. KIBS are seen to function as facilitator, carrier or source of innovation, and through their almost symbiotic relationship with client firms, some KIBS function as co-producers of innovation. It is further argued that, in addition to discrete and tangible forms of knowledge exchange, process-oriented and intangible forms of knowledge flows are crucial in such relationships. KIBS are hypothesised to be gradually developing into a ‘second knowledge infrastructure’ in addition to the formal (public) ‘first knowledge infrastructure’, though there are liable to be cross-national variations in the spill-over effects from services innovation in and through KIBS, and in the degree to which KIBS are integrated with other economic activities. Finally, some implications for innovation management and innovation policy are discussed.


Contains the 4-dimension model of services innovation. Used in my article https://solvinnov.com/a-modern-services-innovation-framework/   And introduces the fact that KIBS can be facilitators, carriers or sources of innovation
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