The Experts below are selected from a list of 207168 Experts worldwide ranked by ideXlab platform

Didier Soopramanien - One of the best experts on this subject based on the ideXlab platform.

  • The value of Competitive Information in forecasting FMCG retail product sales and the variable selection problem
    European Journal of Operational Research, 2014
    Co-Authors: Tao Huang, Robert Fildes, Didier Soopramanien
    Abstract:

    Sales forecasting at the UPC level is important for retailers to manage inventory. In this paper, we propose more effective methods to forecast retail UPC sales by incorporating Competitive Information including prices and promotions. The impact of these Competitive marketing activities on the sales of the focal product has been extensively documented. However, Competitive Information has been surprisingly overlooked by previous studies in forecasting UPC sales, probably because of the problem of too many Competitive explanatory variables. That is, each FMCG product category typically contains a large number of UPCs and is consequently associated with a large number of Competitive explanatory variables. Under such a circumstance, time series models can easily become over-fitted and thus generate poor forecasting results.

  • The value of Competitive Information in forecasting FMCG retail product sales and the variable selection problem:Working paper 2013:1
    2013
    Co-Authors: Tao Huang, Robert Fildes, Didier Soopramanien
    Abstract:

    Sales forecasting at the UPC level is important for retailers to manage inventory. In this paper, we propose more effective methods to forecast retail UPC sales by incorporating Competitive Information including prices and promotions. The impact of these Competitive marketing activities on the sales of the focal product has been extensively documented. However, Competitive Information has been surprisingly overlooked by previous studies in forecasting UPC sales, probably because of the high-dimensionality problem associated with the selection of variables. That is, each FMCG product category typically contains a large number of UPCs and is consequently associated with a large number of Competitive explanatory variables. Under such a circumstance, time series models can easily become over-fitted and thus generate poor forecasting results. Our forecasting methods consist of two stages. At the first stage, we refine the Competitive Information. We identify the most relevant explanatory variables using variable selection methods, or alternatively, pool Information across all variables using factor analysis to construct a small number of diffusion indexes. At the second stage, we specify the Autoregressive Distributed Lag (ADL) model following a general to specific modelling strategy with the identified most relevant Competitive explanatory variables and the constructed diffusion indexes. We compare the forecasting performance of our proposed methods with the industrial practice method (benchmark model) and the ADL model specified exclusively with the price and promotion Information of the focal product. The results show that our proposed methods generate substantially more accurate forecasts across a range of product categories.

Tao Huang - One of the best experts on this subject based on the ideXlab platform.

  • The value of Competitive Information in forecasting FMCG retail product sales and the variable selection problem
    European Journal of Operational Research, 2014
    Co-Authors: Tao Huang, Robert Fildes, Didier Soopramanien
    Abstract:

    Sales forecasting at the UPC level is important for retailers to manage inventory. In this paper, we propose more effective methods to forecast retail UPC sales by incorporating Competitive Information including prices and promotions. The impact of these Competitive marketing activities on the sales of the focal product has been extensively documented. However, Competitive Information has been surprisingly overlooked by previous studies in forecasting UPC sales, probably because of the problem of too many Competitive explanatory variables. That is, each FMCG product category typically contains a large number of UPCs and is consequently associated with a large number of Competitive explanatory variables. Under such a circumstance, time series models can easily become over-fitted and thus generate poor forecasting results.

  • The value of Competitive Information in forecasting FMCG retail product sales and the variable selection problem:Working paper 2013:1
    2013
    Co-Authors: Tao Huang, Robert Fildes, Didier Soopramanien
    Abstract:

    Sales forecasting at the UPC level is important for retailers to manage inventory. In this paper, we propose more effective methods to forecast retail UPC sales by incorporating Competitive Information including prices and promotions. The impact of these Competitive marketing activities on the sales of the focal product has been extensively documented. However, Competitive Information has been surprisingly overlooked by previous studies in forecasting UPC sales, probably because of the high-dimensionality problem associated with the selection of variables. That is, each FMCG product category typically contains a large number of UPCs and is consequently associated with a large number of Competitive explanatory variables. Under such a circumstance, time series models can easily become over-fitted and thus generate poor forecasting results. Our forecasting methods consist of two stages. At the first stage, we refine the Competitive Information. We identify the most relevant explanatory variables using variable selection methods, or alternatively, pool Information across all variables using factor analysis to construct a small number of diffusion indexes. At the second stage, we specify the Autoregressive Distributed Lag (ADL) model following a general to specific modelling strategy with the identified most relevant Competitive explanatory variables and the constructed diffusion indexes. We compare the forecasting performance of our proposed methods with the industrial practice method (benchmark model) and the ADL model specified exclusively with the price and promotion Information of the focal product. The results show that our proposed methods generate substantially more accurate forecasts across a range of product categories.

Xiaoyang Liu - One of the best experts on this subject based on the ideXlab platform.

  • Novel Competitive Information propagation macro mathematical model in online social network
    Journal of Computational Science, 2020
    Co-Authors: Xiaoyang Liu
    Abstract:

    Abstract This paper proposes a novel Competitive Information dissemination macro model CISIR (Competitive Information Susceptible Infected Recovered) in online social network (OSN). Firstly, the Markov chain theory is used to analyze the intrinsic relationship between the competition mechanism among different types of Information on the network and the rules of node state transition and Information propagation evolution. The macro probability model of node state transition is constructed from the perspective of probability, and the macro Information diffusion of network system is constructed from the perspective of statistics. Secondly, the equilibrium point and stability of the proposed model are solved to ensure that the model is reasonable and meaningful. Finally, the relationship between the parameters in the model is analyzed by numerical simulation experiment, and the dynamic simulation is carried out. The process of Information competition and dissemination is analyzed, and the degree of agreement between the simulation results and the real event statistics is researched through empirical comparative experiments. Experimental results show that the proposed CISIR model is reasonable and effective. It provides a new scientific method and research approach to solve the problem of Competitive propagation of different Information types in OSN, and it has high theoretical value and application value.

Wang Lei - One of the best experts on this subject based on the ideXlab platform.

  • Application of Dynamic Gambling in Competitive Information Strategic Decisionutilization
    Information Sciences, 2007
    Co-Authors: Wang Lei
    Abstract:

    With the constant deepening of the development of the world economy,the Competitive environ- ment has undergone tremendous changes,because the relationship between enterprises,competitors,and Competitive environment has became intertwined.Enterprises should draw the strategic decision from the per- spective of dynamic.Therefore,the dynamic Competitive intelligence for strategic decision is the inevitable choice to cope with the changing Competitive environment.This article has analyzed in the competition infor- marion strategicdecision process under the dynamic gambling model frame"the competition Information event"and"the strategic policy-maker"between dynamic gambling process,and how discusses uses the gambling model establishment decision-making plan.

Eric K. Clemons - One of the best experts on this subject based on the ideXlab platform.

  • HICSS (6) - Strategic and Competitive Information Systems
    Proceedings of HICSS-29: 29th Hawaii International Conference on System Sciences, 1996
    Co-Authors: Eric K. Clemons, Bruce W. Weber
    Abstract:

    This mini-track continues the long tradition of examining the linkage between organizational strategy and Information technologies. This has gained new urgency with burgeoning electronic commerce and new communication technologies. For new technologies to be adopted not only do they have to be technically feasible, they have to provide some strategic advance to the firm. Conversely, some firms may adopt technology that is still evolving. Kauffman and Wang make this clear in the first paper. They use analytic modeling to show that some bill payers may adopt e-billing technology early, even in face of better solutions that might be available in near future, if there is a substantial installed base effect.Feurstein, Natter, Mild and Taudes look at knowledge sharing within the organization and they find that despite availability of advanced tools and techniques, of the kind discussed in detail in the Collaborative Technology Track, its success in organization depends crucially on incentives and other variables of the organizational architecture.Collaborative technology improvements and other advances in IT are expected to reduce costs, and increase output. This should result in an increase in productivity - the ratio of output to input. However, empirically, this has been hard to establish. ?We see computers everywhere but in the productivity statistics,? said Robert Solow, Nobel laureate economist. Debate has since then raged in the literature and this issue has been dubbed the ?productivity paradox.? The next paper by Thatcher and Oliver sheds new light on this matter. They use an analytical model to show that the paradox may be created by mis-measurement of productivity. Many researchers use revenue as a proxy for output in productivity measurement. The authors identify this mis-measurement as a source of the paradox.Continuing in the examination of decision making in the firm, Clemons and Aron look at the decision to allocate budget for product development and advertising. In this innovative work, the authors unite two hitherto disparate streams of literature. Investments in product design have been much studied in engineering management while marketing researchers have examined the value and cost of advertising. On the margin, a manager has to pick between these two competing activities and to-date there has been no comprehensive model to address these issues.Finally, Rudi, Gundepudi and Seidmann also unite two streams of literature, theory of options in finance and pricing from marketing, to offer fresh insights into inter-temporal purchases, such as subscriptions, of Information goods.

  • Special section: strategic and Competitive Information systems
    Journal of Management Information Systems, 1993
    Co-Authors: Eric K. Clemons, Bruce W. Weber
    Abstract:

    (1997). Special Section: Strategic and Competitive Information Systems. Journal of Management Information Systems: Vol. 14, No. 2, pp. 5-7.

  • Mini-track on strategic and Competitive Information systems
    Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences, 1992
    Co-Authors: Eric K. Clemons, Michael C. Row
    Abstract:

    A discussion is given on the continuing evolution and maturation of the study of strategic and Competitive impacts of Information technology. In particular, the authors address: What is the impact of Information technology on the balance between cooperation and competition? How can technology affect the strategies available to firms, or the structure of firms and industries? How have firms used technology Competitively? How have they used technology in cooperation with clients or with other firms in their industries? How do firms manage strategic technologies? How are global networks managed? How is the risk of large infrastructure projects controlled? How will Information technology affect the balance of power in the distribution of goods and services?. >

  • Organizational systems track strategic and Competitive Information systems mini-track
    Proceedings of the 34th Annual Hawaii International Conference on System Sciences, 1
    Co-Authors: Eric K. Clemons, Rajiv M. Dewan, Robert J. Kauffman, Yu-ming Wang
    Abstract:

    This mini-track continues the long tradition of examining the linkage between organizational strategy and Information technologies. This has gained new urgency with burgeoning electronic commerce and new communication technologies. For new technologies to be adopted not only do they have to be technically feasible, they have to provide some strategic advance to the firm. Conversely, some firms may adopt technology that is still evolving. This is made clear in the first paper by Au and Kauffman. They use analytic modeling to show that some bill payers may adopt e-billing technology early, even in face of better solutions that might be available in near future, if there is a substantial installed base effect.