�ݺ�ߣshows by User: skiera

�ݺ�ߣshows by User: skiera / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: skiera / Wed, 23 May 2018 02:31:00 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: skiera Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response /slideshow/two-new-features-in-discrete-choice-experiments-to-improve-willingness-to-pay-estimation-that-result-in-new-methods-separated-adaptive-dual-response/98190238 schlerethandskiera2017-sadr-management-science-180523023100
�ݺ�ߣs that describe the content of the following paper: Schlereth, Christian / Skiera, Bernd (2017), "Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response", Management Science, Vol. 63, Issue 3, 829-842 Discrete choice experiments such as choice-based conjoint and dual response are popular preference elicitation methods, yet, they can suffer from context effects, extreme response behavior, and problems with estimating consumers’ willingness to pay accurately when the purchase probability is high. This study proposes two new features to avoid these limits: (a) strictly separating all forced and all free choice questions and (b) an adaptive mechanism to select fewer, but more informative, free choice questions. The use of these two features invokes two new discrete choice experiment methods: separated dual response, with just the first feature, and separated adaptive dual response, with both features. A conceptual comparison, simulation study, tests to address endogeneity concerns, and three empirical studies demonstrate the appeal of these two new features, relative to the benefits of existing discrete choice experiments, especially when estimating willingness to pay. ]]>
�ݺ�ߣs that describe the content of the following paper: Schlereth, Christian / Skiera, Bernd (2017), "Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response", Management Science, Vol. 63, Issue 3, 829-842 Discrete choice experiments such as choice-based conjoint and dual response are popular preference elicitation methods, yet, they can suffer from context effects, extreme response behavior, and problems with estimating consumers’ willingness to pay accurately when the purchase probability is high. This study proposes two new features to avoid these limits: (a) strictly separating all forced and all free choice questions and (b) an adaptive mechanism to select fewer, but more informative, free choice questions. The use of these two features invokes two new discrete choice experiment methods: separated dual response, with just the first feature, and separated adaptive dual response, with both features. A conceptual comparison, simulation study, tests to address endogeneity concerns, and three empirical studies demonstrate the appeal of these two new features, relative to the benefits of existing discrete choice experiments, especially when estimating willingness to pay. ]]> Wed, 23 May 2018 02:31:00 GMT /slideshow/two-new-features-in-discrete-choice-experiments-to-improve-willingness-to-pay-estimation-that-result-in-new-methods-separated-adaptive-dual-response/98190238 skiera@slideshare.net(skiera) Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response skiera �ݺ�ߣs that describe the content of the following paper: Schlereth, Christian / Skiera, Bernd (2017), "Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response", Management Science, Vol. 63, Issue 3, 829-842 Discrete choice experiments such as choice-based conjoint and dual response are popular preference elicitation methods, yet, they can suffer from context effects, extreme response behavior, and problems with estimating consumers’ willingness to pay accurately when the purchase probability is high. This study proposes two new features to avoid these limits: (a) strictly separating all forced and all free choice questions and (b) an adaptive mechanism to select fewer, but more informative, free choice questions. The use of these two features invokes two new discrete choice experiment methods: separated dual response, with just the first feature, and separated adaptive dual response, with both features. A conceptual comparison, simulation study, tests to address endogeneity concerns, and three empirical studies demonstrate the appeal of these two new features, relative to the benefits of existing discrete choice experiments, especially when estimating willingness to pay. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/schlerethandskiera2017-sadr-management-science-180523023100-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs that describe the content of the following paper: Schlereth, Christian / Skiera, Bernd (2017), "Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response", Management Science, Vol. 63, Issue 3, 829-842 Discrete choice experiments such as choice-based conjoint and dual response are popular preference elicitation methods, yet, they can suffer from context effects, extreme response behavior, and problems with estimating consumers’ willingness to pay accurately when the purchase probability is high. This study proposes two new features to avoid these limits: (a) strictly separating all forced and all free choice questions and (b) an adaptive mechanism to select fewer, but more informative, free choice questions. The use of these two features invokes two new discrete choice experiment methods: separated dual response, with just the first feature, and separated adaptive dual response, with both features. A conceptual comparison, simulation study, tests to address endogeneity concerns, and three empirical studies demonstrate the appeal of these two new features, relative to the benefits of existing discrete choice experiments, especially when estimating willingness to pay.

Two New Features in Discrete Choice Experiments to Improve Willingness to Pay Estimation that Result in New Methods: Separated (Adaptive) Dual Response from Bernd Skiera

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0 Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data /slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data/97755228 ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170530-180520163454
In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon.]]>
In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon.]]> Sun, 20 May 2018 16:34:54 GMT /slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data/97755228 skiera@slideshare.net(skiera) Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data skiera In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170530-180520163454-thumbnail.jpg?width=120&height=120&fit=bounds" /> In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon.

Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data from Bernd Skiera

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0 Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data (short version) /slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data-short-version/97754686 ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170703-180520162805
A short summary of the paper "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data. Competitive analysis in markets containing dozens of brands and hundreds of products": In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon. ]]>
A short summary of the paper "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data. Competitive analysis in markets containing dozens of brands and hundreds of products": In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon. ]]> Sun, 20 May 2018 16:28:05 GMT /slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data-short-version/97754686 skiera@slideshare.net(skiera) Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data (short version) skiera A short summary of the paper "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data. Competitive analysis in markets containing dozens of brands and hundreds of products": In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170703-180520162805-thumbnail.jpg?width=120&height=120&fit=bounds" /> A short summary of the paper "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data. Competitive analysis in markets containing dozens of brands and hundreds of products": In large markets comprising hundreds of products, comprehensive visualization of competitive market structures can be cumbersome and complex. Yet, as we show empirically, reduction of the analysis to smaller representative product sets can obscure important information. Herein we use big search data from a product- and price-comparison site to derive consideration sets of consumers that reflect competition between products. We integrate these data into a new modeling and two-dimensional mapping approach that enables the user to visualize asymmetric competition in large markets (>1,000 products) and to identify distinct submarkets. An empirical application to the LED-TV market, comprising 1,124 products and 56 brands, leads to valid and useful insights and shows that our method outperforms traditional models such as multidimensional scaling. Likewise, we demonstrate that big search data from product- and price-comparison sites provide higher external validity than search data from Google and Amazon.

Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data (short version) from Bernd Skiera

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0 Skiera bayer-schoeler-event-study-2018-05-20 /slideshow/skiera-bayerschoelereventstudy20180520/97754255 skiera-bayer-schoeler-event-study-2018-05-20-180520162246
Most event studies rely on cumulative abnormal returns, measured as percentage changes in stock prices, as their dependent variable. Stock price reflects the value of the operating business plus non-operating assets minus debt. Yet, many events, in particular in marketing, only influence the value of the operating business, but not non-operating assets and debt. For these cases, the authors argue that the cumulative abnormal return on the operating business, defined as the ratio between the cumulative abnormal return on stock price and the firm-specific leverage effect, is a more appropriate dependent variable. Ignoring the differences in firm-specific leverage effects inflates the impact of observations pertaining to firms with large debt and deflates those pertaining to firms with large non-operating assets. Observations of firms with high debt receive several times the weight attributed to firms with low debt. A simulation study and the reanalysis of three previously published marketing event studies shows that ignoring the firm-specific leverage effects influences an event study’s results in unpredictable ways. ]]>
Most event studies rely on cumulative abnormal returns, measured as percentage changes in stock prices, as their dependent variable. Stock price reflects the value of the operating business plus non-operating assets minus debt. Yet, many events, in particular in marketing, only influence the value of the operating business, but not non-operating assets and debt. For these cases, the authors argue that the cumulative abnormal return on the operating business, defined as the ratio between the cumulative abnormal return on stock price and the firm-specific leverage effect, is a more appropriate dependent variable. Ignoring the differences in firm-specific leverage effects inflates the impact of observations pertaining to firms with large debt and deflates those pertaining to firms with large non-operating assets. Observations of firms with high debt receive several times the weight attributed to firms with low debt. A simulation study and the reanalysis of three previously published marketing event studies shows that ignoring the firm-specific leverage effects influences an event study’s results in unpredictable ways. ]]> Sun, 20 May 2018 16:22:46 GMT /slideshow/skiera-bayerschoelereventstudy20180520/97754255 skiera@slideshare.net(skiera) Skiera bayer-schoeler-event-study-2018-05-20 skiera Most event studies rely on cumulative abnormal returns, measured as percentage changes in stock prices, as their dependent variable. Stock price reflects the value of the operating business plus non-operating assets minus debt. Yet, many events, in particular in marketing, only influence the value of the operating business, but not non-operating assets and debt. For these cases, the authors argue that the cumulative abnormal return on the operating business, defined as the ratio between the cumulative abnormal return on stock price and the firm-specific leverage effect, is a more appropriate dependent variable. Ignoring the differences in firm-specific leverage effects inflates the impact of observations pertaining to firms with large debt and deflates those pertaining to firms with large non-operating assets. Observations of firms with high debt receive several times the weight attributed to firms with low debt. A simulation study and the reanalysis of three previously published marketing event studies shows that ignoring the firm-specific leverage effects influences an event study’s results in unpredictable ways. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skiera-bayer-schoeler-event-study-2018-05-20-180520162246-thumbnail.jpg?width=120&height=120&fit=bounds" /> Most event studies rely on cumulative abnormal returns, measured as percentage changes in stock prices, as their dependent variable. Stock price reflects the value of the operating business plus non-operating assets minus debt. Yet, many events, in particular in marketing, only influence the value of the operating business, but not non-operating assets and debt. For these cases, the authors argue that the cumulative abnormal return on the operating business, defined as the ratio between the cumulative abnormal return on stock price and the firm-specific leverage effect, is a more appropriate dependent variable. Ignoring the differences in firm-specific leverage effects inflates the impact of observations pertaining to firms with large debt and deflates those pertaining to firms with large non-operating assets. Observations of firms with high debt receive several times the weight attributed to firms with low debt. A simulation study and the reanalysis of three previously published marketing event studies shows that ignoring the firm-specific leverage effects influences an event study’s results in unpredictable ways.

Skiera bayer-schoeler-event-study-2018-05-20 from Bernd Skiera

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0 How Customer Referral Programs Turn Social Capital into Economic Capital /skiera/how-customer-referral-programs-turn-social-capital-into-economic-capital van-den-bultebayerskieraschmitt-2018-05-20-180520155638
Customers acquired through a referral program have been observed to exhibit higher margins and lower churn than customers acquired through other means. Theory suggests two likelymechanisms for this phenomenon: (1) better matching between referred customers and the firm and (2) social enrichment by the referrer. The present study is the first to provide evidence of these two mechanisms in a customer referral program. Consistent with the theory that better matching affects contribution margins, (1) referrer–referral dyads exhibit shared unobservables in customer contribution margins, (2) referrers with more extensive experience bring in higher-margin referrals, and (3) this association between the referrer’s experience and margin gap becomes smaller over the referral’s lifetime. Consistent with the theory that social enrichment affects retention, referrals exhibit lower churn only as long as their referrer has not churned. These findings indicate that bettermatching and social enrichment are two mechanisms through which firms can leverage their customers’ Networks to gain new customers with higher customer lifetime value and convert social capital into economic capital. One recommendation for the managers of the firm studied is to recruit referrers among their customers who have been acquired at least six months ago, exhibit high margins, and are unlikely to churn.]]>
Customers acquired through a referral program have been observed to exhibit higher margins and lower churn than customers acquired through other means. Theory suggests two likelymechanisms for this phenomenon: (1) better matching between referred customers and the firm and (2) social enrichment by the referrer. The present study is the first to provide evidence of these two mechanisms in a customer referral program. Consistent with the theory that better matching affects contribution margins, (1) referrer–referral dyads exhibit shared unobservables in customer contribution margins, (2) referrers with more extensive experience bring in higher-margin referrals, and (3) this association between the referrer’s experience and margin gap becomes smaller over the referral’s lifetime. Consistent with the theory that social enrichment affects retention, referrals exhibit lower churn only as long as their referrer has not churned. These findings indicate that bettermatching and social enrichment are two mechanisms through which firms can leverage their customers’ Networks to gain new customers with higher customer lifetime value and convert social capital into economic capital. One recommendation for the managers of the firm studied is to recruit referrers among their customers who have been acquired at least six months ago, exhibit high margins, and are unlikely to churn.]]> Sun, 20 May 2018 15:56:38 GMT /skiera/how-customer-referral-programs-turn-social-capital-into-economic-capital skiera@slideshare.net(skiera) How Customer Referral Programs Turn Social Capital into Economic Capital skiera Customers acquired through a referral program have been observed to exhibit higher margins and lower churn than customers acquired through other means. Theory suggests two likelymechanisms for this phenomenon: (1) better matching between referred customers and the firm and (2) social enrichment by the referrer. The present study is the first to provide evidence of these two mechanisms in a customer referral program. Consistent with the theory that better matching affects contribution margins, (1) referrer–referral dyads exhibit shared unobservables in customer contribution margins, (2) referrers with more extensive experience bring in higher-margin referrals, and (3) this association between the referrer’s experience and margin gap becomes smaller over the referral’s lifetime. Consistent with the theory that social enrichment affects retention, referrals exhibit lower churn only as long as their referrer has not churned. These findings indicate that bettermatching and social enrichment are two mechanisms through which firms can leverage their customers’ Networks to gain new customers with higher customer lifetime value and convert social capital into economic capital. One recommendation for the managers of the firm studied is to recruit referrers among their customers who have been acquired at least six months ago, exhibit high margins, and are unlikely to churn. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/van-den-bultebayerskieraschmitt-2018-05-20-180520155638-thumbnail.jpg?width=120&height=120&fit=bounds" /> Customers acquired through a referral program have been observed to exhibit higher margins and lower churn than customers acquired through other means. Theory suggests two likelymechanisms for this phenomenon: (1) better matching between referred customers and the firm and (2) social enrichment by the referrer. The present study is the first to provide evidence of these two mechanisms in a customer referral program. Consistent with the theory that better matching affects contribution margins, (1) referrer–referral dyads exhibit shared unobservables in customer contribution margins, (2) referrers with more extensive experience bring in higher-margin referrals, and (3) this association between the referrer’s experience and margin gap becomes smaller over the referral’s lifetime. Consistent with the theory that social enrichment affects retention, referrals exhibit lower churn only as long as their referrer has not churned. These findings indicate that bettermatching and social enrichment are two mechanisms through which firms can leverage their customers’ Networks to gain new customers with higher customer lifetime value and convert social capital into economic capital. One recommendation for the managers of the firm studied is to recruit referrers among their customers who have been acquired at least six months ago, exhibit high margins, and are unlikely to churn.

How Customer Referral Programs Turn Social Capital into Economic Capital from Bernd Skiera

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0 Sollen Studenten Facebook während des Unterrichts benutzen? Natürlich nicht und diese Beitrag zeigt auch warum nicht. /skiera/skiera-hinzspann2015facebookacademicperformance-german skiera-hinz-spann-2015-facebook-academic-performancegerman-150505014319-conversion-gate01
Hier sind Folien, die ein wesentliches Ergebnis des folgenden Beitrags (in deutscher Sprache) zusammenfassen: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.]]>
Hier sind Folien, die ein wesentliches Ergebnis des folgenden Beitrags (in deutscher Sprache) zusammenfassen: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.]]> Tue, 05 May 2015 01:43:19 GMT /skiera/skiera-hinzspann2015facebookacademicperformance-german skiera@slideshare.net(skiera) Sollen Studenten Facebook während des Unterrichts benutzen? Natürlich nicht und diese Beitrag zeigt auch warum nicht. skiera Hier sind Folien, die ein wesentliches Ergebnis des folgenden Beitrags (in deutscher Sprache) zusammenfassen: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skiera-hinz-spann-2015-facebook-academic-performancegerman-150505014319-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hier sind Folien, die ein wesentliches Ergebnis des folgenden Beitrags (in deutscher Sprache) zusammenfassen: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.

Sollen Studenten Facebook w辰hrend des Unterrichts benutzen? Nat端rlich nicht und diese Beitrag zeigt auch warum nicht. from Bernd Skiera

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0 Should you use Facebook during classes? Obviously not and here are some slides that say why. /slideshow/should-you-use-facebook-during-classes/47759626 skiera-hinz-spann-2015-facebook-academic-performance-150505013019-conversion-gate01
These slides summarize the main findings of a paper that outlines that academic performance correlates negatively with Facebook usage during classes: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.]]>
These slides summarize the main findings of a paper that outlines that academic performance correlates negatively with Facebook usage during classes: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.]]> Tue, 05 May 2015 01:30:19 GMT /slideshow/should-you-use-facebook-during-classes/47759626 skiera@slideshare.net(skiera) Should you use Facebook during classes? Obviously not and here are some slides that say why. skiera These slides summarize the main findings of a paper that outlines that academic performance correlates negatively with Facebook usage during classes: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skiera-hinz-spann-2015-facebook-academic-performance-150505013019-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> These slides summarize the main findings of a paper that outlines that academic performance correlates negatively with Facebook usage during classes: Skiera, Bernd / Hinz, Oliver / Spann, Martin (2015), "Social Media and Academic Performance: Does Facebook Activity Relate to Good Grades?", Schmalenbach Business Review, Vol. 67, Issue 1, 54-72 We analyze how Facebook use and students’ social network positions within it relate to their academic performance. We use a unique data set obtained from a survey of students’ perceptions, actual Facebook connections to measure social network positions, and objective grades provided by the university registrar to measure academic performance. We find that Facebook activities during class relate negatively to academic performance, that students located in densely connected subnetworks earn better grades, and that in contrast to female students, male students benefit from a general use of Facebook, particularly if they are highly connected.

Should you use Facebook during classes? Obviously not and here are some slides that say why. from Bernd Skiera

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0 Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow /slideshow/advance-payment-systems-paying-too-much-today-and-being-satisfied-tomorrow/47759277 schulzschlerethmazarskiera2015-advancepaymentsystems-150505011823-conversion-gate01
�ݺ�ߣs that correspond to the paper: Schulz, Fabian / Schlereth, Christian / Skiera, Bernd / Mazar, Nina (2015), "Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow", International Journal of Research in Marketing, Vol. 32, Issue 3, forthcoming. Abstract: Advance payment systems represent a pricing innovation, in which companies predict customers' future consumption for the following year and then bill a series of monthly, uniform advance payments. Any difference between predicted and actual consumption gets settled at the end of the year with a refund or extra payment. Companies thus gain earlier access to funds and lower risk of customer defaults; customers benefit from predictable monthly payments. However, customers' reactions to a refund or extra payment sequence in an advance payment system remain unclear. Three theoretical lenses offer predictions about customers' advance payment system preferences: prospect theory, with a focus on silver lining and hedonic editing principles; mental accounting; and the value of sequences. Using three empirical studies with survey and billing data of more than 20,000 customers to examine their reactions to refunds and extra payments, this paper reveals that receiving a refund reduces customers' price awareness, increases their recommendation likelihood, and reduces churn and tariff switching, as long as the refund is not too high. The findings illustrate both the consequences and the boundary conditions of the silver lining principle with large-scale field studies.]]>
�ݺ�ߣs that correspond to the paper: Schulz, Fabian / Schlereth, Christian / Skiera, Bernd / Mazar, Nina (2015), "Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow", International Journal of Research in Marketing, Vol. 32, Issue 3, forthcoming. Abstract: Advance payment systems represent a pricing innovation, in which companies predict customers' future consumption for the following year and then bill a series of monthly, uniform advance payments. Any difference between predicted and actual consumption gets settled at the end of the year with a refund or extra payment. Companies thus gain earlier access to funds and lower risk of customer defaults; customers benefit from predictable monthly payments. However, customers' reactions to a refund or extra payment sequence in an advance payment system remain unclear. Three theoretical lenses offer predictions about customers' advance payment system preferences: prospect theory, with a focus on silver lining and hedonic editing principles; mental accounting; and the value of sequences. Using three empirical studies with survey and billing data of more than 20,000 customers to examine their reactions to refunds and extra payments, this paper reveals that receiving a refund reduces customers' price awareness, increases their recommendation likelihood, and reduces churn and tariff switching, as long as the refund is not too high. The findings illustrate both the consequences and the boundary conditions of the silver lining principle with large-scale field studies.]]> Tue, 05 May 2015 01:18:23 GMT /slideshow/advance-payment-systems-paying-too-much-today-and-being-satisfied-tomorrow/47759277 skiera@slideshare.net(skiera) Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow skiera �ݺ�ߣs that correspond to the paper: Schulz, Fabian / Schlereth, Christian / Skiera, Bernd / Mazar, Nina (2015), "Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow", International Journal of Research in Marketing, Vol. 32, Issue 3, forthcoming. Abstract: Advance payment systems represent a pricing innovation, in which companies predict customers' future consumption for the following year and then bill a series of monthly, uniform advance payments. Any difference between predicted and actual consumption gets settled at the end of the year with a refund or extra payment. Companies thus gain earlier access to funds and lower risk of customer defaults; customers benefit from predictable monthly payments. However, customers' reactions to a refund or extra payment sequence in an advance payment system remain unclear. Three theoretical lenses offer predictions about customers' advance payment system preferences: prospect theory, with a focus on silver lining and hedonic editing principles; mental accounting; and the value of sequences. Using three empirical studies with survey and billing data of more than 20,000 customers to examine their reactions to refunds and extra payments, this paper reveals that receiving a refund reduces customers' price awareness, increases their recommendation likelihood, and reduces churn and tariff switching, as long as the refund is not too high. The findings illustrate both the consequences and the boundary conditions of the silver lining principle with large-scale field studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/schulzschlerethmazarskiera2015-advancepaymentsystems-150505011823-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs that correspond to the paper: Schulz, Fabian / Schlereth, Christian / Skiera, Bernd / Mazar, Nina (2015), "Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow", International Journal of Research in Marketing, Vol. 32, Issue 3, forthcoming. Abstract: Advance payment systems represent a pricing innovation, in which companies predict customers' future consumption for the following year and then bill a series of monthly, uniform advance payments. Any difference between predicted and actual consumption gets settled at the end of the year with a refund or extra payment. Companies thus gain earlier access to funds and lower risk of customer defaults; customers benefit from predictable monthly payments. However, customers' reactions to a refund or extra payment sequence in an advance payment system remain unclear. Three theoretical lenses offer predictions about customers' advance payment system preferences: prospect theory, with a focus on silver lining and hedonic editing principles; mental accounting; and the value of sequences. Using three empirical studies with survey and billing data of more than 20,000 customers to examine their reactions to refunds and extra payments, this paper reveals that receiving a refund reduces customers' price awareness, increases their recommendation likelihood, and reduces churn and tariff switching, as long as the refund is not too high. The findings illustrate both the consequences and the boundary conditions of the silver lining principle with large-scale field studies.

Advance Payment Systems: Paying Too Much Today and Being Satisfied Tomorrow from Bernd Skiera

]]> 1143 5 https://cdn.slidesharecdn.com/ss_thumbnails/schulzschlerethmazarskiera2015-advancepaymentsystems-150505011823-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Optimal Search Engine Marketing /slideshow/skiera-naboutprosadmarketingscience2013/24476355 skiera-nabout-prosad-marketing-science-2013-130721151550-phpapp01
�ݺ�ߣs that correspond to the paper: Skiera, Bernd About Nabout, Nadia (2013), "PROSAD: A Bidding Decision Support System for Profitable Search Engine Advertising", Marketing Science, Marketing Science, Vol. 32, Issue 2, 213-220 (also finalist of "The Gary L. Lilien ISMS-MSI Practice Prize")]]>
�ݺ�ߣs that correspond to the paper: Skiera, Bernd About Nabout, Nadia (2013), "PROSAD: A Bidding Decision Support System for Profitable Search Engine Advertising", Marketing Science, Marketing Science, Vol. 32, Issue 2, 213-220 (also finalist of "The Gary L. Lilien ISMS-MSI Practice Prize")]]> Sun, 21 Jul 2013 15:15:50 GMT /slideshow/skiera-naboutprosadmarketingscience2013/24476355 skiera@slideshare.net(skiera) Optimal Search Engine Marketing skiera �ݺ�ߣs that correspond to the paper: Skiera, Bernd About Nabout, Nadia (2013), "PROSAD: A Bidding Decision Support System for Profitable Search Engine Advertising", Marketing Science, Marketing Science, Vol. 32, Issue 2, 213-220 (also finalist of "The Gary L. Lilien ISMS-MSI Practice Prize") <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skiera-nabout-prosad-marketing-science-2013-130721151550-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs that correspond to the paper: Skiera, Bernd About Nabout, Nadia (2013), "PROSAD: A Bidding Decision Support System for Profitable Search Engine Advertising", Marketing Science, Marketing Science, Vol. 32, Issue 2, 213-220 (also finalist of "The Gary L. Lilien ISMS-MSI Practice Prize")

Optimal Search Engine Marketing from Bernd Skiera

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0 Seeding Strategies in Viral Marketing /slideshow/comparison-of-seeding-strategies-hinzskierabarrotbecker-2011-journal-of-marketing/12336497 hinz-skiera-barrot-becker-2011-seeding-strategiesinjournal-of-marketing-120410063905-phpapp01
These slides that describe the content of the paper: Hinz, Oliver / Skiera, Bernd / Barrot, Christian / Becker, Jan (2011), "An Empirical Comparison of Seeding Strategies for Viral Marketing", Journal of Marketing, 75 (November), 55-71. Seeding strategies have strong influences on the success of viral marketing campaigns, but previous studies using computer simulations and analytical models have produced conflicting recommendations about the optimal seeding strategy. This study compares four seeding strategies in two complementary small-scale field experiments, as well as in one real-life viral marketing campaign involving more than 200,000 customers of a mobile phone service provider. The empirical results show that the best seeding strategies can be up to eight times more successful than other seeding strategies. Seeding to well-connected people is the most successful approach because these attractive seeding points are more likely to participate in viral marketing campaigns. This finding contradicts a common assumption in other studies. Well-connected people also actively use their greater reach but do not have more influence on their peers than do less well-connected people.]]>
These slides that describe the content of the paper: Hinz, Oliver / Skiera, Bernd / Barrot, Christian / Becker, Jan (2011), "An Empirical Comparison of Seeding Strategies for Viral Marketing", Journal of Marketing, 75 (November), 55-71. Seeding strategies have strong influences on the success of viral marketing campaigns, but previous studies using computer simulations and analytical models have produced conflicting recommendations about the optimal seeding strategy. This study compares four seeding strategies in two complementary small-scale field experiments, as well as in one real-life viral marketing campaign involving more than 200,000 customers of a mobile phone service provider. The empirical results show that the best seeding strategies can be up to eight times more successful than other seeding strategies. Seeding to well-connected people is the most successful approach because these attractive seeding points are more likely to participate in viral marketing campaigns. This finding contradicts a common assumption in other studies. Well-connected people also actively use their greater reach but do not have more influence on their peers than do less well-connected people.]]> Tue, 10 Apr 2012 06:39:04 GMT /slideshow/comparison-of-seeding-strategies-hinzskierabarrotbecker-2011-journal-of-marketing/12336497 skiera@slideshare.net(skiera) Seeding Strategies in Viral Marketing skiera These slides that describe the content of the paper: Hinz, Oliver / Skiera, Bernd / Barrot, Christian / Becker, Jan (2011), "An Empirical Comparison of Seeding Strategies for Viral Marketing", Journal of Marketing, 75 (November), 55-71. Seeding strategies have strong influences on the success of viral marketing campaigns, but previous studies using computer simulations and analytical models have produced conflicting recommendations about the optimal seeding strategy. This study compares four seeding strategies in two complementary small-scale field experiments, as well as in one real-life viral marketing campaign involving more than 200,000 customers of a mobile phone service provider. The empirical results show that the best seeding strategies can be up to eight times more successful than other seeding strategies. Seeding to well-connected people is the most successful approach because these attractive seeding points are more likely to participate in viral marketing campaigns. This finding contradicts a common assumption in other studies. Well-connected people also actively use their greater reach but do not have more influence on their peers than do less well-connected people. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hinz-skiera-barrot-becker-2011-seeding-strategiesinjournal-of-marketing-120410063905-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> These slides that describe the content of the paper: Hinz, Oliver / Skiera, Bernd / Barrot, Christian / Becker, Jan (2011), "An Empirical Comparison of Seeding Strategies for Viral Marketing", Journal of Marketing, 75 (November), 55-71. Seeding strategies have strong influences on the success of viral marketing campaigns, but previous studies using computer simulations and analytical models have produced conflicting recommendations about the optimal seeding strategy. This study compares four seeding strategies in two complementary small-scale field experiments, as well as in one real-life viral marketing campaign involving more than 200,000 customers of a mobile phone service provider. The empirical results show that the best seeding strategies can be up to eight times more successful than other seeding strategies. Seeding to well-connected people is the most successful approach because these attractive seeding points are more likely to participate in viral marketing campaigns. This finding contradicts a common assumption in other studies. Well-connected people also actively use their greater reach but do not have more influence on their peers than do less well-connected people.

Seeding Strategies in Viral Marketing from Bernd Skiera

]]> 23504 13 https://cdn.slidesharecdn.com/ss_thumbnails/hinz-skiera-barrot-becker-2011-seeding-strategiesinjournal-of-marketing-120410063905-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Securitization and Customer Equity /slideshow/customer-equity-sustainability-ratio-skiera-bermes-and-horn/8057227 customerequitysustainabilityratio-2011-05-20-110522035758-phpapp02
Skiera, Bernd / Bermes, Manuel / Horn, Lutz (2011), "Customer Equity Sustainability Ratio: A New Metric for Assessing a Firm’s Future Orientation", Journal of Marketing, Vol. 75 (May), 118-131]]>
Skiera, Bernd / Bermes, Manuel / Horn, Lutz (2011), "Customer Equity Sustainability Ratio: A New Metric for Assessing a Firm’s Future Orientation", Journal of Marketing, Vol. 75 (May), 118-131]]> Sun, 22 May 2011 03:57:56 GMT /slideshow/customer-equity-sustainability-ratio-skiera-bermes-and-horn/8057227 skiera@slideshare.net(skiera) Securitization and Customer Equity skiera Skiera, Bernd / Bermes, Manuel / Horn, Lutz (2011), "Customer Equity Sustainability Ratio: A New Metric for Assessing a Firm’s Future Orientation", Journal of Marketing, Vol. 75 (May), 118-131 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/customerequitysustainabilityratio-2011-05-20-110522035758-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Skiera, Bernd / Bermes, Manuel / Horn, Lutz (2011), "Customer Equity Sustainability Ratio: A New Metric for Assessing a Firm’s Future Orientation", Journal of Marketing, Vol. 75 (May), 118-131

Securitization and Customer Equity from Bernd Skiera

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0 Optimal Pricing: Understanding Differences between Structural Models and Reduced-Form Models /slideshow/skiera-differencesstructuralreducedformmodels/7623084 skiera-differences-structural-reduced-form-models-110414015155-phpapp02
Although structural modeling as a means to improve pricing decisions often appears in prestigious academic journals, its consideration in pricing textbooks remains rather limited, and knowledge about its benefits and limitations in comparison to reduced-form models is scarce among “structural nonexperts”. This presentation outlines for these “structural nonexperts” which different abilities structural and reducedform models have to improve pricing decisions. Therefore, it uses a popular textbook example that fails to consider the abilities of both models, which are the abilities to capture the effects of consumers’ responses and changes in cost structure on prices. It outlines that the major advantages of structural models are the ability to capture competitors’ reactions and the description of new market equilibriums, which come at the costs of assumptions that usually prevent structural models to further improve prices. The beauty of the simple example provided is that it enables nontechnical readers to easily understand the major differences between structural and reduced-form models.]]>
Although structural modeling as a means to improve pricing decisions often appears in prestigious academic journals, its consideration in pricing textbooks remains rather limited, and knowledge about its benefits and limitations in comparison to reduced-form models is scarce among “structural nonexperts”. This presentation outlines for these “structural nonexperts” which different abilities structural and reducedform models have to improve pricing decisions. Therefore, it uses a popular textbook example that fails to consider the abilities of both models, which are the abilities to capture the effects of consumers’ responses and changes in cost structure on prices. It outlines that the major advantages of structural models are the ability to capture competitors’ reactions and the description of new market equilibriums, which come at the costs of assumptions that usually prevent structural models to further improve prices. The beauty of the simple example provided is that it enables nontechnical readers to easily understand the major differences between structural and reduced-form models.]]> Thu, 14 Apr 2011 01:51:54 GMT /slideshow/skiera-differencesstructuralreducedformmodels/7623084 skiera@slideshare.net(skiera) Optimal Pricing: Understanding Differences between Structural Models and Reduced-Form Models skiera Although structural modeling as a means to improve pricing decisions often appears in prestigious academic journals, its consideration in pricing textbooks remains rather limited, and knowledge about its benefits and limitations in comparison to reduced-form models is scarce among “structural nonexperts”. This presentation outlines for these “structural nonexperts” which different abilities structural and reducedform models have to improve pricing decisions. Therefore, it uses a popular textbook example that fails to consider the abilities of both models, which are the abilities to capture the effects of consumers’ responses and changes in cost structure on prices. It outlines that the major advantages of structural models are the ability to capture competitors’ reactions and the description of new market equilibriums, which come at the costs of assumptions that usually prevent structural models to further improve prices. The beauty of the simple example provided is that it enables nontechnical readers to easily understand the major differences between structural and reduced-form models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skiera-differences-structural-reduced-form-models-110414015155-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Although structural modeling as a means to improve pricing decisions often appears in prestigious academic journals, its consideration in pricing textbooks remains rather limited, and knowledge about its benefits and limitations in comparison to reduced-form models is scarce among “structural nonexperts”. This presentation outlines for these “structural nonexperts” which different abilities structural and reducedform models have to improve pricing decisions. Therefore, it uses a popular textbook example that fails to consider the abilities of both models, which are the abilities to capture the effects of consumers’ responses and changes in cost structure on prices. It outlines that the major advantages of structural models are the ability to capture competitors’ reactions and the description of new market equilibriums, which come at the costs of assumptions that usually prevent structural models to further improve prices. The beauty of the simple example provided is that it enables nontechnical readers to easily understand the major differences between structural and reduced-form models.

Optimal Pricing: Understanding Differences between Structural Models and Reduced-Form Models from Bernd Skiera

]]> 746 3 https://cdn.slidesharecdn.com/ss_thumbnails/skiera-differences-structural-reduced-form-models-110414015155-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-skiera-48x48.jpg?cb=1636288861 More information about my work can be found at http://www.ecommerce.wiwi.uni-frankfurt.de/eng.html and http://www.ecommerce.wiwi.uni-frankfurt.de/ (in german) www.marketing.uni-frankfurt.de/index.php?id=273?&L=1 https://cdn.slidesharecdn.com/ss_thumbnails/schlerethandskiera2017-sadr-management-science-180523023100-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/two-new-features-in-discrete-choice-experiments-to-improve-willingness-to-pay-estimation-that-result-in-new-methods-separated-adaptive-dual-response/98190238 Two New Features in Di... https://cdn.slidesharecdn.com/ss_thumbnails/ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170530-180520163454-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data/97755228 Visualizing Asymmetric... https://cdn.slidesharecdn.com/ss_thumbnails/ringel-skiera-visualizing-competition-1000-products-presentationscience2practice-20170703-180520162805-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/visualizing-asymmetric-competition-among-more-than-1000-products-using-big-search-data-short-version/97754686 Visualizing Asymmetric...