Accept or reject? Predicting ideation outcomes through enterprise social media
Implementing social media in the workplace may make it easier for employees to participate in knowledge sharing activities such as Q&A and ideation.However, vetting the quality of answers and ideas becomes more complex when anyone in the company can contribute. Research on the use of social me...
| Hoofdauteurs: | , , |
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| Formaat: | Conference or Workshop Item |
| Taal: | English |
| Gepubliceerd in: |
2017
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| Onderwerpen: | |
| Online toegang: | https://repo.uum.edu.my/id/eprint/20942/1/shsconf_icome2017%201%208xxii.pdf |
| _version_ | 1825804467678740480 |
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| author | Rozaidi, Nik Ahmad Gibbs, Jennifer L. Eisenberg, Julia |
| author_facet | Rozaidi, Nik Ahmad Gibbs, Jennifer L. Eisenberg, Julia |
| author_sort | Rozaidi, Nik Ahmad |
| collection | UUM |
| description | Implementing social media in the workplace may make it easier for employees to participate in knowledge sharing activities such as Q&A
and ideation.However, vetting the quality of answers and ideas becomes more complex when anyone in the company can contribute. Research on
the use of social media for Q&A has shown that certain characteristics and reputation algorithms can help determine the best answers.Less is known
about the ideation process and the way it plays out in social media.This paper explores the use of enterprise social media (ESM) for ideation by
employees in a large Russian organization distributed across nine time zones.In particular, we explore which characteristics of both ideas and
their contributors predict whether ideas get accepted or rejected.Our analysis is based on logistic regression analysis of a sample of 488 ideas contributed in an ESM tool used in the organization as well as a content analysis of the types of ideas generated.Our results suggest that rather than being truly democratic and decentralized, ideation in ESM is driven by
those in (or proximate to) positions of organizational power. |
| first_indexed | 2024-07-04T06:16:01Z |
| format | Conference or Workshop Item |
| id | uum-20942 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:16:01Z |
| publishDate | 2017 |
| record_format | eprints |
| spelling | uum-209422017-02-13T00:22:06Z https://repo.uum.edu.my/id/eprint/20942/ Accept or reject? Predicting ideation outcomes through enterprise social media Rozaidi, Nik Ahmad Gibbs, Jennifer L. Eisenberg, Julia HD28 Management. Industrial Management T Technology (General) Implementing social media in the workplace may make it easier for employees to participate in knowledge sharing activities such as Q&A and ideation.However, vetting the quality of answers and ideas becomes more complex when anyone in the company can contribute. Research on the use of social media for Q&A has shown that certain characteristics and reputation algorithms can help determine the best answers.Less is known about the ideation process and the way it plays out in social media.This paper explores the use of enterprise social media (ESM) for ideation by employees in a large Russian organization distributed across nine time zones.In particular, we explore which characteristics of both ideas and their contributors predict whether ideas get accepted or rejected.Our analysis is based on logistic regression analysis of a sample of 488 ideas contributed in an ESM tool used in the organization as well as a content analysis of the types of ideas generated.Our results suggest that rather than being truly democratic and decentralized, ideation in ESM is driven by those in (or proximate to) positions of organizational power. 2017 Conference or Workshop Item PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/20942/1/shsconf_icome2017%201%208xxii.pdf Rozaidi, Nik Ahmad and Gibbs, Jennifer L. and Eisenberg, Julia (2017) Accept or reject? Predicting ideation outcomes through enterprise social media. In: International Conference on Communication and Media: An International Communication Association Regional Conference (i-COME’16), 18th - 20th September 2016, Istana Hotel, Kuala Lumpur. http://doi.org/10.1051/shsconf/20173300053 doi:10.1051/shsconf/20173300053 doi:10.1051/shsconf/20173300053 |
| spellingShingle | HD28 Management. Industrial Management T Technology (General) Rozaidi, Nik Ahmad Gibbs, Jennifer L. Eisenberg, Julia Accept or reject? Predicting ideation outcomes through enterprise social media |
| title | Accept or reject? Predicting ideation outcomes through enterprise social media |
| title_full | Accept or reject? Predicting ideation outcomes through enterprise social media |
| title_fullStr | Accept or reject? Predicting ideation outcomes through enterprise social media |
| title_full_unstemmed | Accept or reject? Predicting ideation outcomes through enterprise social media |
| title_short | Accept or reject? Predicting ideation outcomes through enterprise social media |
| title_sort | accept or reject predicting ideation outcomes through enterprise social media |
| topic | HD28 Management. Industrial Management T Technology (General) |
| url | https://repo.uum.edu.my/id/eprint/20942/1/shsconf_icome2017%201%208xxii.pdf |
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