A lure or a turn-off: social media reactions to business model innovation announcements

Title A lure or a turn-off: social media reactions to business model innovation announcements
Author Bowen, M., Wen, Xiaohan Hannah, Kim, S.
Publication Date: 2023-03
Publication Place - Springer
Subject Business model innovation, Case study, Content analysis, Social media, Word-of-mouth
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0923-0645
Record ID d82b2cc8-2c18-4610-a81a-2bcb36ed9df1
Library Location Business Administration
Date 2023-03
Notes University of Missouri
Sample Text How do people react to business model innovation (BMI) announcements on social media? Is the analysis of social media reactions to BMI announcements a fruitful method for assessing the potential and pitfalls of BMIs? This research provides a novel perspective by answering these questions using a multi-case study approach. Our results show that social media reactions to BMI announcements can provide first indications of the success or failure of a BMI as well as initial information on how to further adjust the BMI. However, our results also indicate that classical means of assessing the success of innovations (i.e., through assessing the valence of user reactions) are not effective in the context of BMIs.
DOI 10.1007/s11002-021-09606-3
Cilt 34
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A lure or a turn-off: social media reactions to business model innovation announcements

Author Bowen, M., Wen, Xiaohan Hannah, Kim, S.
Publication Date 2023-03
Publication Place - Springer
Subject Business model innovation, Case study, Content analysis, Social media, Word-of-mouth
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0923-0645
Record ID d82b2cc8-2c18-4610-a81a-2bcb36ed9df1
Library Location Business Administration
Date 2023-03
Notes University of Missouri
Sample Text How do people react to business model innovation (BMI) announcements on social media? Is the analysis of social media reactions to BMI announcements a fruitful method for assessing the potential and pitfalls of BMIs? This research provides a novel perspective by answering these questions using a multi-case study approach. Our results show that social media reactions to BMI announcements can provide first indications of the success or failure of a BMI as well as initial information on how to further adjust the BMI. However, our results also indicate that classical means of assessing the success of innovations (i.e., through assessing the valence of user reactions) are not effective in the context of BMIs.
DOI 10.1007/s11002-021-09606-3
Cilt 34
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