Abstract: Customer resistance is the greatest risk to innovation for the entrepreneur. The aim of this exploratory study is to provide insights into this underdeveloped area in the tourism innovation literature. A qualitative approach is adopted to understand the resistance experienced by 57 entrepreneurs when introducing their innovations into the market, the causes and the actions taken to minimise resistance. Findings indicate that most entrepreneurs often encounter resistance from sceptical customers, satisfied with their status quo and with no or low appetites for innovation. The analysis reveals two main sources of resistance: the association of the innovations with particular risks, and the customers' lack of understanding of the innovation value. Communication strategies are crucial to decrease the associated risks and for trust building. The paper provides a critical perspective on the challenges faced by innovators, challenges which are often overlooked given the near-iconic status of innovation in studies of economic development.
Looks at 57 entrepreneurs and resistance to innovation in the tourism industry. Includes a conceptual model on what to do in the face of postponement, rejection and opposition
Abstract: This paper explores multiple-generation demand dynamics of “fast-tech” products, which we define as durable technological products and technology-based services where repeat purchases are motivated by user-perceived functionality increases that trigger generational transitions. Examples of fast-tech products include: personal computers (PCs), DRAMs, printers and wireless telephone services. In management of fast-tech products, special attention must be paid to the different needs of adopters and repeaters, which may require different product, advertising and distribution-channel strategies. We develop a model of multiple-generation product diffusion in which sales are constructed as the sum of adoption sales and repeat sales thus, for the first time, separately identifying first-time purchases and repeat purchases. The model also identifies (1) the potential market for each generation, (2) total systems in use (subscribers if a service market) by time period and (3) systems-in-use (installed-base) mix by product/service generation for each time period. The model reduces to the basic Bass model (1969) in the case of a single generation. We use two sets of empirical data (eight DRAM generations and nine PC generations) to demonstrate that the model provides an excellent fit to historical data. We also provide support for the Norton-Bass Model by fitting it to these same data.
In V Mahajan,E Muller and Y. Wind (eds.) NEW-PRODUCT DIFFUSION MODELS Absftact. Following the publication of the Bass model in 1969 in Management Scienceth, e earliestattempt to modify this model to include decision variableswasan often-cited 1975 paper by Robinson and Lakhani thar was also published inManagemenSt cierceI.n the ensuingyearsnumerous modifications and extensionsofthe Bassmodel havebeenproposedto […]
Describes a Generalised Bass Model (GBM) that takes account of price changes or advertising efforts etc. These are defined as decision variables and the paper describes a model to handle them.
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).
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.
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
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
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.