10,695 research outputs found

    The contribution of data mining to information science

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    The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge. In the past several years, data mining has made a significant contribution to the field of information science. This paper examines the impact of data mining by reviewing existing applications, including personalized environments, electronic commerce, and search engines. For these three types of application, how data mining can enhance their functions is discussed. The reader of this paper is expected to get an overview of the state of the art research associated with these applications. Furthermore, we identify the limitations of current work and raise several directions for future research

    CHANGES AND CHALLENGES FACED BY READYMADE GARMENT BUSINESS IN THE DIGITAL ERA

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     Readymade garment industry is also playing a key role in fashion world as well as in countries economy. A tailor made business transform into industry how, when and what kind of strategies required which highlighted in this paper. Change is the natural law, but personalization over globalization in marketing readymade garment business can open a new challenges. Retail services are generally still produced and consumed at the same location (requiring a face-to-face interaction), despite increasing volumes of online sales. Analytical research based upon primary data which collected from manufacturer, wholesalers, retailers, and customer in Pune city through various questionnaires.This paper also made an attempt to highlight, how to convert upcoming challenges into opportunities in readymade garment business. How and what kind of Administrative and Marketing challenges force to change Readymade garment business into an industry in online shopping era

    Product modelling for simulating business networks offering mass customization

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    In the past decade, mass customization has shown to be one of the effective business models in developed economies. Key success factors include modularization and standardization of product platforms, production postponement strategies, and customer interaction. A major challenge is how to implement the success factors and design a suitable business network. One approach is to simulate the performance of a business network with the input of detailed mass customization orders. This paper presents a simulation-based methodology to configure a mass customization network. The contribution of the paper focuses on the approach to create product models that include personalization details, the generation of demand profiles, and the creation of generic process routings for mass customized products. The paper uses examples from the golf club industry to illustrate the methodology. © IFAC

    A Typology of Mass Services: The Role of Service Delivery and Consumption Purpose In Classifying Service Experiences

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    Purpose — The purpose of this paper is to provide services marketers with a deeper understanding of the elements that characterize mass services. The paper shows that many studies have been conducted within the context of professional and retail services, knowledge of mass service contexts is limited despite the growth of services within this context. Design/methodology/approach — This paper provides a conceptual overview of mass services and develops a typology for mass services based on an extensive review of the services literature. Specifically, the typology developed classifies mass services on the basis of service delivery and purpose. The typology forwarded, therefore, classifies mass services using a two-by-two framework with individual and collective mass services classified as either utilitarian or hedonic in nature. Findings — The typology found in this paper provides a practical insight into the characteristics of services falling into the classification of mass services. The value of the classification is that managers can better understand the unique aspects of mass services, thus, allowing for a better utilization of limited resources. Moreover, the paper provides insights into a service classification that has received limited research emphasis, yet, is attracting increasing industry attention. Originality/value — This paper provides academics and practitioners with a framework that has both tactical and strategic implications. These implications include enhancing the customer experience and thus customer retention, resource management, employee training and service management. Given that such a framework has not been forwarded in the literature, the typology presented in the current paper makes an original contribution to the literature
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