Ramkumar Janakiraman
University of South Carolina
Treatment and control groupsAdvertisingInformation technologyTransaction dataProduct (category theory)AttributionBusinessProduct categoryPsychologyHealth careMarketingInterpersonal communicationSet (psychology)New product developmentOperations managementConsumer behaviourMedical prescriptionPerceptionControl (management)Similarity (psychology)Social media analyticsQuality (business)PopularityDifference in differencesPublic relationsComputer scienceNatural experimentFamily medicineSocial mediaCustomer profitabilitySpillover effectPanel dataPromotion (rank)MedicineCustomer relationship management
42Publications
17H-index
1,505Citations
Publications 36
Newest
#1Xiaojing Dong (Santa Clara University)H-Index: 8
#2Ramkumar Janakiraman (A&M: Texas A&M University)H-Index: 17
Last. Ying Xie (UTD: University of Texas at Dallas)H-Index: 12
view all 3 authors...
Past research has established that just surveying individuals or measuring consumers' intentions can influence their subsequent behaviors. Building on self-generated validity theory and extant studies on the survey participation effect, we examine the behavioral phenomenon in a setting where consumers repeatedly participate in brand-specific surveys of all competing brands in a product category. We also investigate the existence and magnitude of the survey participation effect at the individual ...
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#2Ashish Kumar (TKK: Helsinki University of Technology)
In this study we examine the effect of customers’ participation in a firm’s social media efforts on the intensity of the relationship between the firm and its customers as captured by customers’ visit frequency. We further hypothesize and test for the moderating roles of social media activity and customer characteristics on the link between social media participation and the intensity of customer-firm relationship. Importantly, we also quantify the impact of social media participation on custome...
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In this study we examine the effect of customers’ participation in a firm’s social media efforts on the intensity of the relationship between the firm and its customers as captured by customers’ visit frequency. We further hypothesize and test for the moderating roles of social media activity and customer characteristics on the link between social media participation and the intensity of customer-firm relationship. Importantly, we also quantify the impact of social media participation on custome...
#1Elissa B. Grossman (LMU: Loyola Marymount University)H-Index: 2
#2Helena Yli-Renko (SC: University of Southern California)H-Index: 10
Last. Ramkumar Janakiraman (A&M: Texas A&M University)H-Index: 17
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This article contributes to the entrepreneurship and network literatures by addressing the fundamental research question of how a new venture’s initial network ties are formed. The authors focus on the broad network search evinced by nascent entrepreneurs at the very earliest stages of venture and network creation and examine some of the instrumental and interpersonal mechanisms driving nascent entrepreneurs’ value attributions about the contacts met during this network search. The authors utili...
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#1Ramkumar Janakiraman (A&M: Texas A&M University)H-Index: 17
#2Rakesh Niraj (Case Western Reserve University)H-Index: 12
Social contagion effects due to geographical proximity refer to the social effects wherein the behavior of an individual varies with the behavior of other individuals who are geographically close. Although the influence of such effects on consumer choices has been established in several contexts, much of the extant studies have focused on its effect on consumers’ decision of whether to buy a new product or adopt a new innovation. There has been no systematic examination of the influence of geogr...
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#2Janet Turner ParishH-Index: 11
Last. Leonard L. Berry (A&M: Texas A&M University)H-Index: 75
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This study investigates the effect of the physical and work environments of a hospital on nurses’ perceptions of and attitudes toward the hospital.
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#1Ravi Aron (Johns Hopkins University)H-Index: 9
#2Shantanu Dutta (SC: University of Southern California)H-Index: 42
Last. Praveen Pathak (College of Business Administration)H-Index: 20
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We use panel data from multiple wards from two hospitals spanning a three-year period to investigate the impact of automation of the core error prevention functions in hospitals on medical error rates. Although there are studies based on anecdotal evidence and self-reported data on how automation impacts medical errors, no systematic studies exist that are based on actual error rates from hospitals. Further, there is no systematic evidence on how incremental automation over time and across multi...
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#1Dhruv Grewal (Babson College)H-Index: 91
#2Ramkumar Janakiraman (A&M: Texas A&M University)H-Index: 17
Last. Stephen TolericoH-Index: 1
view all 7 authors...
In the increasingly complex retailing environment, more and more retailers operate in more than one channel, such as brick-and-mortar, catalogs, and online. Success in this dynamic environment relies on the strategic management and coordination of both online and offline pricing. This article provides an overview of findings from past research in both offline and online domains and presents an organizing framework, as well as an agenda to spur additional research.
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#1Ramkumar Janakiraman (A&M: Texas A&M University)H-Index: 17
#2Catarina Sismeiro (Imperial College London)H-Index: 14
Last. Shantanu Dutta (SC: University of Southern California)H-Index: 42
view all 3 authors...
Abstract Drawing on the accessibility–diagnosticity framework and previous literature on branding and order of entry, the authors hypothesize that perception spillovers can also occur across directly competing products that do not share a common brand name. The authors suggest two mechanisms (prior perception spillover and dynamic perception spillover) and one moderating variable (product/brand similarity). To test for spillovers across competing brands, the authors develop a structural Bayesian...
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