Ashish Sood - Academia.edu (original) (raw)
Papers by Ashish Sood
ABSTRACT Thesis (M.B.A. (M.O.T.))--Nanyang Technological University, Nanyang Business School, 2000.
Wiley Encyclopedia of Management, 2015
SSRN Electronic Journal, 2000
Understanding technological change is of critical importance to marketers, as it bears new market... more Understanding technological change is of critical importance to marketers, as it bears new markets, new brands, new customers, and new market leaders. This paper examines the deviation among reviews of a technology’s performance and its consequences for inferences on technology evolution patterns. The basic premise of the current paper is that technology evolution literature, while highly relevant, is misguided in
Contributions to Statistics, 2008
The Bass (1969) model has been a standard for analyzing and predicting the market penetration of ... more The Bass (1969) model has been a standard for analyzing and predicting the market penetration of new products. The authors demonstrate the insights to be gained and predictive performance of Functional Data Analysis (FDA), on the market penetration of ...
Wiley International Encyclopedia of Marketing, 2010
SSRN Electronic Journal, 2000
Conventional wisdom is that the performance of a new technology starts below that of an exiting t... more Conventional wisdom is that the performance of a new technology starts below that of an exiting technology, crosses the performance of an older technology once and ends up at a higher plateau, so tracing a single S-shaped curve. As such, to stay competitive, managers need to switch from an old technology to a new one before the former matures. We test this premise in 23 technologies across six markets.
SSRN Electronic Journal, 2000
The failure of firms in the face of technological change has been a topic of intense research and... more The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. The authors develop a new schema to address these limitations. The schema generates seven hypotheses and a testable model relating to platform technologies. The authors test this model and hypotheses with data on 36 technologies from 7 markets. Contrary to extant theory, technologies that adopt a lower attack ("potentially disruptive technologies") 1) are introduced as frequently by incumbents as by entrants, 2) are not cheaper than older technologies, and 3) rarely disrupt firms, and 4) both entrants and lower attacks significantly reduce the hazard of disruption. Moreover, technology disruption is not permanent due to multiple crossings in technology performance and numerous rival technologies co-existing without one disrupting the other. The proposed predictive model of disruption shows good outof-sample predictive accuracy. The authors discuss the implications of these findings.
Wiley International Encyclopedia of Marketing, 2010
Wiley International Encyclopedia of Marketing, 2010
Journal of Marketing, 2005
... and ends above the old technology. This belief is based on scat-tered empirical evidence and ... more ... and ends above the old technology. This belief is based on scat-tered empirical evidence and some circular definitions. Using new definitions and data on 14 technologies from four markets, the authors examine the shape and competitive dynamics of technological evolution. ...
Analysts often decry the fact that managers under-invest in innovation due to their shortterm ori... more Analysts often decry the fact that managers under-invest in innovation due to their shortterm orientation. The reason may be that assessing market returns to innovation is difficult.
... Gerard J. Tellis is the Jerry and Nancy Neely Chair in American Enterprise and Professor of M... more ... Gerard J. Tellis is the Jerry and Nancy Neely Chair in American Enterprise and Professor of Marketing at the Marshall School of Business, University of Southern California. ... the S-curve of technological evolution: introduction, growth, maturation (see Abernathy and ...
Marketing Science, 2011
The failure of firms in the face of technological change has been a topic of intense research and... more The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. We develop a new schema to address these limitations. The schema generates seven hypotheses and a testable
Marketing Science, 2009
T he Bass model has been a standard for analyzing and predicting the market penetration of new pr... more T he Bass model has been a standard for analyzing and predicting the market penetration of new products.
Computational Statistics & Data Analysis, 2006
We explore different approaches for performing hypothesis tests on the shape of a mean function b... more We explore different approaches for performing hypothesis tests on the shape of a mean function by developing general methodologies both for the, often assumed, iid error structure case as well as for the more general case where the error terms have an arbitrary covariance structure. The procedures work by testing for patterns in the residuals after estimating the mean function and are extremely computationally fast. In the iid case we fit a smooth function to the observed residuals and then fit similar functions to the permuted residuals. Under the null hypothesis that the curve comes from a particular functional shape, the permuted residuals should have a similar distribution to the unpermuted ones. So the fitted curves will have the same distribution thus allowing significance levels to be computed very efficiently. In the more general case when several curves are observed one can directly estimate the covariance structure and incorporate this into the analysis. However, when only one curve is observed we adopt a graphical approach where one plots the p-value for differing levels of potential complexity in the covariance structure. This allows one to judge the degree of deviation from the assumed null distribution. We demonstrate the power of these methods on an extensive set of simulations. We also illustrate the approach on a data set of technology evolution curves which current theory suggests should have an underlying S shape. The developed techniques have wide potential applications in empirical testing of the shape of functional data.
goizueta.emory.edu
... Ashish Sood, Gareth M. James & Gerard J. Tellis ... Ashish Sood is Assistant Professor Ma... more ... Ashish Sood, Gareth M. James & Gerard J. Tellis ... Ashish Sood is Assistant Professor Marketing, Goizueta School of Business, Emory University, 1300 Clifton Rd NE, Atlanta, GA 30322; Tel: +1.404-727-4226, fax: +1.404-727-3552, E-mail: ashish_sood@bus.emory.edu. ...
ABSTRACT Thesis (M.B.A. (M.O.T.))--Nanyang Technological University, Nanyang Business School, 2000.
Wiley Encyclopedia of Management, 2015
SSRN Electronic Journal, 2000
Understanding technological change is of critical importance to marketers, as it bears new market... more Understanding technological change is of critical importance to marketers, as it bears new markets, new brands, new customers, and new market leaders. This paper examines the deviation among reviews of a technology’s performance and its consequences for inferences on technology evolution patterns. The basic premise of the current paper is that technology evolution literature, while highly relevant, is misguided in
Contributions to Statistics, 2008
The Bass (1969) model has been a standard for analyzing and predicting the market penetration of ... more The Bass (1969) model has been a standard for analyzing and predicting the market penetration of new products. The authors demonstrate the insights to be gained and predictive performance of Functional Data Analysis (FDA), on the market penetration of ...
Wiley International Encyclopedia of Marketing, 2010
SSRN Electronic Journal, 2000
Conventional wisdom is that the performance of a new technology starts below that of an exiting t... more Conventional wisdom is that the performance of a new technology starts below that of an exiting technology, crosses the performance of an older technology once and ends up at a higher plateau, so tracing a single S-shaped curve. As such, to stay competitive, managers need to switch from an old technology to a new one before the former matures. We test this premise in 23 technologies across six markets.
SSRN Electronic Journal, 2000
The failure of firms in the face of technological change has been a topic of intense research and... more The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. The authors develop a new schema to address these limitations. The schema generates seven hypotheses and a testable model relating to platform technologies. The authors test this model and hypotheses with data on 36 technologies from 7 markets. Contrary to extant theory, technologies that adopt a lower attack ("potentially disruptive technologies") 1) are introduced as frequently by incumbents as by entrants, 2) are not cheaper than older technologies, and 3) rarely disrupt firms, and 4) both entrants and lower attacks significantly reduce the hazard of disruption. Moreover, technology disruption is not permanent due to multiple crossings in technology performance and numerous rival technologies co-existing without one disrupting the other. The proposed predictive model of disruption shows good outof-sample predictive accuracy. The authors discuss the implications of these findings.
Wiley International Encyclopedia of Marketing, 2010
Wiley International Encyclopedia of Marketing, 2010
Journal of Marketing, 2005
... and ends above the old technology. This belief is based on scat-tered empirical evidence and ... more ... and ends above the old technology. This belief is based on scat-tered empirical evidence and some circular definitions. Using new definitions and data on 14 technologies from four markets, the authors examine the shape and competitive dynamics of technological evolution. ...
Analysts often decry the fact that managers under-invest in innovation due to their shortterm ori... more Analysts often decry the fact that managers under-invest in innovation due to their shortterm orientation. The reason may be that assessing market returns to innovation is difficult.
... Gerard J. Tellis is the Jerry and Nancy Neely Chair in American Enterprise and Professor of M... more ... Gerard J. Tellis is the Jerry and Nancy Neely Chair in American Enterprise and Professor of Marketing at the Marshall School of Business, University of Southern California. ... the S-curve of technological evolution: introduction, growth, maturation (see Abernathy and ...
Marketing Science, 2011
The failure of firms in the face of technological change has been a topic of intense research and... more The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. We develop a new schema to address these limitations. The schema generates seven hypotheses and a testable
Marketing Science, 2009
T he Bass model has been a standard for analyzing and predicting the market penetration of new pr... more T he Bass model has been a standard for analyzing and predicting the market penetration of new products.
Computational Statistics & Data Analysis, 2006
We explore different approaches for performing hypothesis tests on the shape of a mean function b... more We explore different approaches for performing hypothesis tests on the shape of a mean function by developing general methodologies both for the, often assumed, iid error structure case as well as for the more general case where the error terms have an arbitrary covariance structure. The procedures work by testing for patterns in the residuals after estimating the mean function and are extremely computationally fast. In the iid case we fit a smooth function to the observed residuals and then fit similar functions to the permuted residuals. Under the null hypothesis that the curve comes from a particular functional shape, the permuted residuals should have a similar distribution to the unpermuted ones. So the fitted curves will have the same distribution thus allowing significance levels to be computed very efficiently. In the more general case when several curves are observed one can directly estimate the covariance structure and incorporate this into the analysis. However, when only one curve is observed we adopt a graphical approach where one plots the p-value for differing levels of potential complexity in the covariance structure. This allows one to judge the degree of deviation from the assumed null distribution. We demonstrate the power of these methods on an extensive set of simulations. We also illustrate the approach on a data set of technology evolution curves which current theory suggests should have an underlying S shape. The developed techniques have wide potential applications in empirical testing of the shape of functional data.
goizueta.emory.edu
... Ashish Sood, Gareth M. James & Gerard J. Tellis ... Ashish Sood is Assistant Professor Ma... more ... Ashish Sood, Gareth M. James & Gerard J. Tellis ... Ashish Sood is Assistant Professor Marketing, Goizueta School of Business, Emory University, 1300 Clifton Rd NE, Atlanta, GA 30322; Tel: +1.404-727-4226, fax: +1.404-727-3552, E-mail: ashish_sood@bus.emory.edu. ...