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Roger J. Calantone
Michigan State University
315Publications
65H-index
21.1kCitations
Publications 315
Newest
Published on Sep 19, 2019in Management Science4.22
Hang T. Nguyen2
Estimated H-index: 2
(MSU: Michigan State University),
Roger J. Calantone65
Estimated H-index: 65
(MSU: Michigan State University),
Ranjani Krishnan21
Estimated H-index: 21
(MSU: Michigan State University)
This paper examines how customer sentiment expressed through social media influences institutional investors’ investment decisions and firm value. We use psychology theory to classify the emotional...
Michael J. Brusco30
Estimated H-index: 30
(FSU: Florida State University),
Clay M. Voorhees18
Estimated H-index: 18
(MSU: Michigan State University)
+ 2 AuthorsDouglas Steinley23
Estimated H-index: 23
(MU: University of Missouri)
ABSTRACTWe propose a hybrid two-group classification method that integrates linear discriminant analysis, a polynomial expansion of the basis (or variable space), and a genetic algorithm with multiple crossover operations to select variables from the expanded basis. Using new product launch data from the biochemical industry, we found that the proposed algorithm offers mean percentage decreases in the misclassification error rate of 50%, 56%, 59%, 77%, and 78% in comparison to a support vector m...
Published on Apr 1, 2019in Journal of Retailing3.67
Douglas E. Hughes12
Estimated H-index: 12
(MSU: Michigan State University),
Keith A. Richards7
Estimated H-index: 7
(Baylor University)
+ 2 AuthorsRichard A. Spreng16
Estimated H-index: 16
(MSU: Michigan State University)
Abstract The organizational frontline in retail represents the frontline for an entire supply chain. This channel structure distances the branded supplier from the end consumer and makes the supplier dependent on a retail frontline salesperson that (1) it does not control and (2) also represents competing brands. This study reveals mechanisms that the supplier may use to influence retail frontline salespeople. We demonstrate the importance of consumer marketing programs and supplier representati...
Published on Mar 1, 2019in Industrial Marketing Management4.78
Valerie Good (MSU: Michigan State University), Roger J. Calantone65
Estimated H-index: 65
(MSU: Michigan State University)
Abstract Executives and researchers continue to seek factors that lead to new product success. While prior research has suggested that outsourcing the selling function can help make the innovation process leaner and limit future liability, outsourcing can also pose risks in terms of safeguarding both customer relationships and confidential innovation capabilities. Moreover, examining the effects of outsourcing has been identified as a key research priority in recent marketing literature. Thus, u...
Published on Jan 1, 2019in Industrial Marketing Management4.78
Kumar R. Sarangee5
Estimated H-index: 5
(Santa Clara University),
Jeffrey B. Schmidt16
Estimated H-index: 16
(OU: University of Oklahoma),
Roger J. Calantone65
Estimated H-index: 65
(MSU: Michigan State University)
Abstract Escalation of commitment, defined as the continuation in a failing course of action, is a persistent problem for decision makers in business markets, especially those involved in new product development (NPD). To address this issue, we use Anticipated Regret Theory to develop a model and then empirically test it to demonstrate how forward-looking emotions can lead decision makers to continue failing NPD projects in business-to-business (B2B) markets. We recognize that there are two coun...
Published on Nov 6, 2018
Liqian Cai1
Estimated H-index: 1
(MSU: Michigan State University),
Arnab Bhattacharjee14
Estimated H-index: 14
(Heriot-Watt University)
+ 1 AuthorsTapabrata Maiti16
Estimated H-index: 16
(MSU: Michigan State University)
We propose generalized moments LASSO estimator, combining LASSO with GMM, for penalized variable selection and estimation under the spatial error model with spatially autoregressive errors. We establish parameter consistency and selection sign consistency of the proposed estimator in the low dimensional setting when the parameter dimension p < sample size n , as well as the high dimensional setting with p greater than and growing with n. Finite sample performance of the method is examined by sim...
Published on Sep 1, 2018in Journal of Business Research4.03
Malika Chaudhuri1
Estimated H-index: 1
(UD: University of Dayton),
Roger J. Calantone65
Estimated H-index: 65
(MSU: Michigan State University)
+ 1 AuthorsSeth Cockrell (WSU: Wichita State University)
Abstract The typical firm invests 20% of its promotional budget on sales promotions in an effort to drive short-term sales, Limited insight into the differential impacts of various sales promotions as well as the conditions under which they are most effective in lifting the sales of new products remain despite the rich body of research on sales promotions in the marketing literature. This research seeks to address these gaps by demonstrating the effects of two types of sales promotions on high-v...
Published on Sep 1, 2018in Journal of the Academy of Marketing Science9.36
Yanhui Zhao1
Estimated H-index: 1
(UNO: University of Nebraska Omaha),
Roger J. Calantone65
Estimated H-index: 65
(MSU: Michigan State University),
Clay M. Voorhees18
Estimated H-index: 18
(UA: University of Alabama)
Firm rebranding efforts are inevitable; however, we have a limited understanding of the nature and performance implications of those rebranding decisions. This research contributes to our understanding of this process by identifying two fundamental dimensions of rebranding decisions: brand identity change and brand strategy change. More importantly, we identify and empirically test the conditions under which brand identity change and brand strategy change have either strong or weak (even negativ...
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