The Experts below are selected from a list of 37410 Experts worldwide ranked by ideXlab platform

Benedict G C Dellaert - One of the best experts on this subject based on the ideXlab platform.

  • situation based shifts in Consumer web site Benefit importance the joint role of cognition and affect
    Information & Management, 2009
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    We considered the reasons why customers who plan to use a web site require different Benefits in different situations and investigated two ways by which the differences can occur. Apparently, relative Benefit importance shifts due to changes in cognitive fit between each web site Benefit and customers' situations, and, due to changes in their anticipated affective states in these situations customers' Benefit focus also changes. Furthermore, the number of Benefits that customers rated as important differed, depending on their anticipated affective state. Jointly the findings provided insight into how and why Consumer Benefit importance varied by situation.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    Research Papers in Economics, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    This study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    ERIM report series research in management Erasmus Research Institute of Management, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    textabstractThis study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    ACR North American Advances, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    Abstract This study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations. Free Keywords web site Benefit salience, cognitive route, affective route, usage situation Availability The ERIM Report Series is distributed through the following platforms: Academic Repository at Erasmus University (DEAR), DEAR ERIM Series PortalSocial Science Research Network (SSRN), SSRN ERIM Series WebpageResearch Papers in Economics (REPEC), REPEC ERIM Series WebpageClassifications The electronic versions of the papers in the ERIM report Series contain bibliographic metadata by the following classification systems: Library of Congress Classification, (LCC) LCC WebpageJournal of Economic Literature, (JEL), JEL WebpageACM Computing Classification System CCS WebpageInspec Classification scheme (ICS), ICS Webpage

S A Khaparde - One of the best experts on this subject based on the ideXlab platform.

  • an effective model for demand response management systems of residential electricity Consumers
    IEEE Systems Journal, 2016
    Co-Authors: Vedanta Pradhan, V Murthy S K Balijepalli, S A Khaparde
    Abstract:

    An effective demand response (DR) model framework for DR management systems in a residential premise is proposed. The proposed model consists of dynamic price signals from load serving entity (LSE), Benefit function, and loss of Consumer comfort. The conventional approaches generally consider these factors as independent in their formulation. Since these factors have functional relationship, the proposed model points to a holistic approach to capture the relationship. The scheduling model can be integrated with the home energy scheduler coupled to the smart meter, which facilitates the flow of dynamic price and energy consumption information to and from the household premise. The objective is to maximize net Consumer surplus, which is formulated as a function of all aforementioned factors. A method for developing a practical and dynamic Consumer Benefit model for matured DR programs is proposed in this paper. For the purpose of showing the effectiveness of dynamic Benefit function, a set of analytically formulated Benefit functions is also considered. The suitability of the dynamic Benefit function, as compared with other alternatives, is illustrated with an example. This paper also reports the dynamic price design from the view point of LSE, in order to cover the risks of wholesale price volatility.

S Wendel - One of the best experts on this subject based on the ideXlab platform.

  • situation based shifts in Consumer web site Benefit importance the joint role of cognition and affect
    Information & Management, 2009
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    We considered the reasons why customers who plan to use a web site require different Benefits in different situations and investigated two ways by which the differences can occur. Apparently, relative Benefit importance shifts due to changes in cognitive fit between each web site Benefit and customers' situations, and, due to changes in their anticipated affective states in these situations customers' Benefit focus also changes. Furthermore, the number of Benefits that customers rated as important differed, depending on their anticipated affective state. Jointly the findings provided insight into how and why Consumer Benefit importance varied by situation.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    Research Papers in Economics, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    This study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    ERIM report series research in management Erasmus Research Institute of Management, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    textabstractThis study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations.

  • situation based shifts in Consumer web site Benefit salience the joint role of affect and cognition
    ACR North American Advances, 2008
    Co-Authors: S Wendel, Benedict G C Dellaert
    Abstract:

    Abstract This study addresses the process by which differences in web site Benefit salience arise in Consumers’ minds for different anticipated usage situations. We investigate two routes by which situation may determine Consumer Benefit salience and find support for both route structures. The results indicate that individuals’ relative Benefit importance ratings shift between different anticipated usage situations, both directly, and indirectly, through Consumers’ anticipated affective states. Furthermore, the number of Benefits that is rated as important by Consumers is found to also differ depending on their anticipated affective states, providing further insight into why Consumer Benefit salience may vary across situations. Free Keywords web site Benefit salience, cognitive route, affective route, usage situation Availability The ERIM Report Series is distributed through the following platforms: Academic Repository at Erasmus University (DEAR), DEAR ERIM Series PortalSocial Science Research Network (SSRN), SSRN ERIM Series WebpageResearch Papers in Economics (REPEC), REPEC ERIM Series WebpageClassifications The electronic versions of the papers in the ERIM report Series contain bibliographic metadata by the following classification systems: Library of Congress Classification, (LCC) LCC WebpageJournal of Economic Literature, (JEL), JEL WebpageACM Computing Classification System CCS WebpageInspec Classification scheme (ICS), ICS Webpage

Vedanta Pradhan - One of the best experts on this subject based on the ideXlab platform.

  • an effective model for demand response management systems of residential electricity Consumers
    IEEE Systems Journal, 2016
    Co-Authors: Vedanta Pradhan, V Murthy S K Balijepalli, S A Khaparde
    Abstract:

    An effective demand response (DR) model framework for DR management systems in a residential premise is proposed. The proposed model consists of dynamic price signals from load serving entity (LSE), Benefit function, and loss of Consumer comfort. The conventional approaches generally consider these factors as independent in their formulation. Since these factors have functional relationship, the proposed model points to a holistic approach to capture the relationship. The scheduling model can be integrated with the home energy scheduler coupled to the smart meter, which facilitates the flow of dynamic price and energy consumption information to and from the household premise. The objective is to maximize net Consumer surplus, which is formulated as a function of all aforementioned factors. A method for developing a practical and dynamic Consumer Benefit model for matured DR programs is proposed in this paper. For the purpose of showing the effectiveness of dynamic Benefit function, a set of analytically formulated Benefit functions is also considered. The suitability of the dynamic Benefit function, as compared with other alternatives, is illustrated with an example. This paper also reports the dynamic price design from the view point of LSE, in order to cover the risks of wholesale price volatility.

V Murthy S K Balijepalli - One of the best experts on this subject based on the ideXlab platform.

  • an effective model for demand response management systems of residential electricity Consumers
    IEEE Systems Journal, 2016
    Co-Authors: Vedanta Pradhan, V Murthy S K Balijepalli, S A Khaparde
    Abstract:

    An effective demand response (DR) model framework for DR management systems in a residential premise is proposed. The proposed model consists of dynamic price signals from load serving entity (LSE), Benefit function, and loss of Consumer comfort. The conventional approaches generally consider these factors as independent in their formulation. Since these factors have functional relationship, the proposed model points to a holistic approach to capture the relationship. The scheduling model can be integrated with the home energy scheduler coupled to the smart meter, which facilitates the flow of dynamic price and energy consumption information to and from the household premise. The objective is to maximize net Consumer surplus, which is formulated as a function of all aforementioned factors. A method for developing a practical and dynamic Consumer Benefit model for matured DR programs is proposed in this paper. For the purpose of showing the effectiveness of dynamic Benefit function, a set of analytically formulated Benefit functions is also considered. The suitability of the dynamic Benefit function, as compared with other alternatives, is illustrated with an example. This paper also reports the dynamic price design from the view point of LSE, in order to cover the risks of wholesale price volatility.