The Experts below are selected from a list of 13071 Experts worldwide ranked by ideXlab platform

Daniel Asselmann - One of the best experts on this subject based on the ideXlab platform.

  • Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

  • understanding the quality quantity conundrum of customer referral programs effects of contribution margin extraversion and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

Vijay Viswanathan - One of the best experts on this subject based on the ideXlab platform.

  • Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

  • understanding the quality quantity conundrum of customer referral programs effects of contribution margin extraversion and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

Manfred Krafft - One of the best experts on this subject based on the ideXlab platform.

  • Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

  • understanding the quality quantity conundrum of customer referral programs effects of contribution margin extraversion and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

Sebastian Tillmanns - One of the best experts on this subject based on the ideXlab platform.

  • Understanding the quality–quantity conundrum of customer referral programs: effects of contribution margin, extraversion, and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

  • understanding the quality quantity conundrum of customer referral programs effects of contribution margin extraversion and Opinion Leadership
    Journal of the Academy of Marketing Science, 2018
    Co-Authors: Vijay Viswanathan, Sebastian Tillmanns, Manfred Krafft, Daniel Asselmann
    Abstract:

    Firms can substantially profit from customer referrals, but they must understand the different stages of the referral process to determine what drives the number of referrals (first stage), conversion (second stage), and average contribution margin per referral (third stage). Applying a framework that integrates perceptual and behavioral drivers, this study uses a financial services company’s customer survey and transaction data to investigate how the effect of contribution margins of referring customers at all three stages depends on their perceived extraversion and Opinion Leadership. Extreme extraversion and Opinion Leadership diminish the positive effect of the contribution margins of referring customers on the number of referrals; their effect on the number of successful referrals is insignificant. In terms of the contribution margin of successful referrals, extraversion has a negative and Opinion Leadership a positive moderating effect.

Chang Sup Park - One of the best experts on this subject based on the ideXlab platform.

  • full length articlethe tweet goes on interconnection of twitter Opinion Leadership network size and civic engagement
    Computers in Human Behavior, 2017
    Co-Authors: Chang Sup Park, Barbara K Kaye
    Abstract:

    Opinion leaders tend to possess particular characteristics, such as high social status, wide social networks, and they are highly engaged in civic affairs. This study revisits the concept of original Opinion Leadership and examines the characteristics of Twitter Opinion leaders and Leadership by conducting an online survey of 648 college students in the United States. The results reveal that Twitter Opinion Leadership is rarely predicted by socio-demographics. Twitter Opinion Leadership is more strongly associated with online network size than offline network size. The study also finds that Twitter Opinion Leadership is significantly and positively associated with online civic participation. Lastly, the current study finds that Twitter Opinion leaders can be categorized as two types – frequent tweet posters and frequent retweeters.

  • Does Twitter motivate involvement in politics? Tweeting, Opinion Leadership, and political engagement
    Computers in Human Behavior, 2013
    Co-Authors: Chang Sup Park
    Abstract:

    This paper, in order to deepen our understanding of the role of Opinion Leadership on Twitter, the world's largest microblogging service, has investigated the interrelationships between Opinion Leadership, Twitter use motivations, and political engagement. It finds that Twitter Opinion leaders have higher motivations of information seeking, mobilization, and public expression than nonleaders. It has also been found that mobilization and public-expression motivations mediate the association between perceived Opinion Leadership and Twitter use frequency. Most importantly, this study finds that Twitter Opinion Leadership makes a significant contribution to individuals' involvement in political processes, while Twitter use itself or media use motivation does not necessarily help individuals' political engagement.