Department of Management

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1930

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Author: search.filters.author.Chanda, UdayanEnd date: 2019

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Now showing 1 - 10 of 38
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    Special Issue on Evidence Based Management for Services Sector
    (IGI Global, 2016) Bhat, Anil Kumar; Sharma, Satyendra Kumar; Chanda, Udayan
    In today’s globalized economy it becomes increasingly important to continually design and implement innovative practices in the services sector to get sustainable competitive advantage. Though, a concern exists because of the gap between development of an innovative processes and its eventual execution. To put into practice a successful strategy in services sector requires a broader perspective that includes both, an understanding of the consumer’s need as wells as evidence based knowledge of various functional areas. Evidence based management can help an organization to make better decisions by reducing the gap between designing excellent processes and their real time implementation. Evidence Based Management means making decisions based on best accessible facts, that is, scientific findings and unbiased organizational facts. It is an emerging area in management domain that explicitly uses the contemporary, optimal evidence in management for decision making. This field of study has emerged from empiricism with the aim of applying scientific method to improve managerial decision making process. Evidence-based practices can translate scientific potentials based on best evidences into organizational practices and link the decision making processes to the current scientific research underlying human behavior and actions.
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    Dynamic Optimal Advertising Expenditure Strategies for Two Successive Generations of High Technology Products
    (World Scientific, 2009) Chanda, Udayan
    Advertising plays a very important role in drawing consumer attention to new-products and in encouraging early adoptions. The problem of drawing optimal advertising plans for innovations have therefore has received a lot of attention from marketing managers and researchers. But there is need for further research on problems pertaining to new-products that are part of technological generations. This chapter deals with the determination of optimal advertising expenditure for two-generation consumer durables. The model considers intergenerational diffusion effect and also introduces a framework for modeling innovation diffusion for two competing generations.
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    Stage wise Innovation Diffusion with a Dynamic Market
    (Bloomsbury India, 2016) Chanda, Udayan
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    A model for adoption of successive generations of a high technology product
    (Inder Science, 2007) Chanda, Udayan
    Modelling the new product sales growth and forecasting future sales has been an important area of research in Marketing Science. Models have been proposed to map the consumer buying behaviour against explanatory variables such as price, promotional effort, quality, time, etc. In comparison, high technology products have received less attention. These products usually have many generations, each succeeding generation being an improvement over the previous one. This paper discusses some well-known models in this area and also proposes a new one. The new model uses the relationship between the repeat purchasers and the new purchasers in the overall diffusion of a new technology over multiple generations, by separately identifying the two types of adopters. This model has been validated on sales-data and has also been compared to an established model.
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    A study of the diffusion parameters and marketing decision variables for a family of technological innovations
    (Inder Science, 2008) Chanda, Udayan
    Business organisations introduce new products in the market to beat competition and increase profit. For high-technology products, continuous innovations promise better performance, feature enhancements and quality improvement. Often, consecutive technology generations compete in the market, which calls for synergistic decision-making on marketing variables. At around the time of its introduction, the time path of prices for two competing technologies can show interesting patterns vis-a-vis their sales. It is important to understand the influence of marketing variables on consumer psychology to predict the adoption process of new technology. This paper focuses on studying the relative changes in diffusion parameters and marketing decision variables through sales models developed for multiple-generation products
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    Modelling innovation and imitation sales of products with multiple technological generations
    (Elsevier, 2008) Chanda, Udayan
    Majority of consumer durables have multiple technological generations. Each succeeding generation offers some innovative performance enhancements, feature additions etc. distinguishing itself from the past releases. Therefore the consumer's attitude towards each of them can be very different. There is a need to understand consumer psychology and have accurate measure to predict the adoption process of new technology. Mathematical models have proved to be ideal tools to explain the past purchasing-behavior and also for forecasting. This paper focuses on studying the relative changes of diffusion parameters for both first time purchasers and upgraders along with developing a more general sales model for multiple technology generation products. The proposed model explicitly identifies different groups of purchaser viz. first timers and repeaters (upgraders).
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    A Model for First and Substitution Adoption of Successive Generations of a Product
    (ACTA Press, 2008) Chanda, Udayan
    Modelling the new product sales growth and forecasting the future sales has been an important area of research in Marketing Science. Models have been proposed to map the consumer buying behaviour against explanatory variables like price, promotional effort, quality, time, etc. In comparison high technology products have received less attention. The proposed model uses the relationship between the repeat purchasers and the new purchasers in the overall diffusion of a new technology over multiple generations, by separately identifying the two types of adopters. It also includes the adopters skipping an intermediate generation while buying two different generation products. The proposed model imbibes the features of some well- known model and has been validated on historical data.
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    A mathematical model for diffusion of products with multiple generations
    (Inder Science, 2009-01) Chanda, Udayan
    Modelling the new product sales growth and forecasting the future over the product life-cycle has been an important area of research in Marketing. Many models on this topic have also been extended for describing the diffusion of products having multiple technological generations. But factors influencing diffusion of such products are very distinctive and therefore the modelling approach needs to be different. This paper proposes a model that improves upon some well-know models to study the sales growth of successive generation of products. The model has been validated on a sales-data and has also been compared with an established model.
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    Determining adoption pattern with pricing using two-dimensional innovation diffusion model
    (Elsevier, 2010) Chanda, Udayan
    Studying the dynamics of the technology diffusions under the key determinants that influence the adoption of a technology across time and/or space into the market is crucial to assess the business case for new technologies. The topic diffusion has been widely studied by researchers from different disciplines, including Sociology, Economics, Psychology and Marketing. However a substantial amount of research has been focused on one dimension: either to examine the individual's adoption of an innovation or to explain the time path of adoption of technologies typically follows an S-shaped curve. The other dimensions of the diffusion of an innovation, has gained less attention. In this paper, we derive a two-dimensional technology diffusion innovation model which combines the adoption time of technological diffusion and price of the technology product. In the proposed model technological adoptions and the role of other dimensions are explicitly taken into consideration by using the classical Cobb–Douglas production function. The model is based on two main assumptions: the rate of adoption growth decreases in price and that there is diminishing returns to time because initial market size is fixed. The proposed model is also validated on a number of datasets and compared with established models. The empirical analysis shows that the model performs better than other one-dimensional diffusion model in terms of parameter estimation and model validity.
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    Development of software reliability growth model incorporating enhancement of features and related release policy
    (Springer, 2010-07) Chanda, Udayan
    The software industry can be considered as the typical high technology industry where rate of innovation and knowledge creation plays a pivotal role for continued firm growth. In the last few decades it has been observed that the world of software development management has evolved rapidly due to the intensified market competition. In particular the use of feature-addition model of software products in the industry is fast becoming the commonplace. The up-gradation model can be characterized by increasing the number of features in the software that will give the firm competitive edge in the market. The up-gradation of the system is done by extending it through add-ons, interfacing with other applications, etc. Continuous up-gradation of software’s also brings complexity in the systems once it failed to work properly. In recent years, there has been a growing interest to predict the link between the rates of failure and the reliability of software. Many software reliability growth models (SRGM) have been proposed over past three decades that estimate the reliability of a software system as it undergoes changes through the removal of failure causing faults. But unfortunately most of the models did not consider anything about the increase in failure rate once an up-gradation is made on the software. The objective of this paper is to propose the software reliability growth model that incorporates the effect of enhancement of features on software during testing and debugging process. In addition, we have also discussed the related optimal release time policy that minimizes the total cost.