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New Product Diffusion: The Role of Sentiment Content

Authors:

Helmut Schneider,

James Van ScotterAuthors Info & Claims

SIGMIS-CPR '16: Proceedings of the 2016 ACM SIGMIS Conference on Computers and People Research

Pages 149 - 155

https://doi.org/10.1145/2890602.2890627

Published: 02 June 2016 Publication History

Abstract

The current study is focusing on diffusion and adoption of new digital artifacts. The goal is to explore the social role of user-generated content (UGC) during the diffusion process of digital products in the context of online social networks. Data collection is conducted on 154 new digital products during a two-year timeframe. Results of the study provide a deeper insight into the influence of textual UGC sentiment on new product diffusion and how such a web system (i.e.: online social networks) can help to enable a process of value co-creation. The overall finding shows that Volume of Post and UGC Sentiment have a dynamic impact on Diffusion (Adoption Rate) of digital products.

The study sheds light on the crowding power and the long-tail effect in online social networks. Findings also offer valuable implications for organizations to set up their strategic vision in terms of digital marketing, customer relationship management, and information dissemination.

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Cited By

Moreno-Sandoval LPomares-Quimbaya A(2022)Hybrid Onion Layered System for the Analysis of Collective Subjectivity in Social NetworksIEEE Access10.1109/ACCESS.2022.321746710(115435-115468)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3217467
Sharma VLee KDyreson C(2021)Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on AmazonComputing10.1007/s00607-021-00926-wOnline publication date: 28-May-2021
https://doi.org/10.1007/s00607-021-00926-w

Index Terms

New Product Diffusion: The Role of Sentiment Content
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social networks
2. Information systems

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Published In

cover image ACM Conferences

SIGMIS-CPR '16: Proceedings of the 2016 ACM SIGMIS Conference on Computers and People Research

June 2016

168 pages

ISBN:9781450342032

DOI:10.1145/2890602

General Chairs:
Allison Morgan
Howard University, USA
,
Jeria Quesenberry
Carnegie Mellon University, USA
,
Program Chairs:
Sven Laumer
Otto-Friedrich-University, Germany
,
Christina Outlay
University of Wisconsin Whitewater, USA

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 02 June 2016

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SIGMIS-CPR '16: 2016 Computers and People Research Conference

June 2 - 4, 2016

Virginia, Alexandria, USA

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Cited By

Moreno-Sandoval LPomares-Quimbaya A(2022)Hybrid Onion Layered System for the Analysis of Collective Subjectivity in Social NetworksIEEE Access10.1109/ACCESS.2022.321746710(115435-115468)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3217467
Sharma VLee KDyreson C(2021)Popularity versus quality: analyzing and predicting the success of highly rated crowdfunded projects on AmazonComputing10.1007/s00607-021-00926-wOnline publication date: 28-May-2021
https://doi.org/10.1007/s00607-021-00926-w

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