TY - GEN
T1 - What Supports Serendipity on Twitter? Online Survey on the Role of Technology Characteristics and Their Use
AU - Olshannikova, Ekaterina
AU - Pirkkalainen, Henri
AU - Olsson, Thomas
AU - Huhtamäki, Jukka
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/11/16
Y1 - 2022/11/16
N2 - Serendipity experiences are highly desirable in work life, considering both individuals' learning and organizational innovation capacity. This study looks into information and social serendipity in the context of Twitter. While Twitter can be viewed as a fruitful platform for serendipity to emerge, there is little understanding of what technology characteristics and use practices contribute to such experiences in work-related use. Drawing from the functional affordances theory, the paper investigates the role of presenteeism, self-disclosure, recommendation quality and pace of change, and different types of Twitter use as possible antecedents of serendipity. A cross-sectional international online survey was conducted with 473 respondents who actively use Twitter in their work. An exploratory factor analysis was performed, followed by linear regression analysis to identify relevant statistical associations. The findings indicate that presenteeism (i.e., the fundamental element of reachability) seems to have an effect on serendipity while the more designable characteristics, like the quality of recommendations, do not. Overall, the findings imply that serendipity experiences are primarily explained by individual characteristics like personality and specific ways of using Twitter. This is amongst the first studies on the role of Twitter characteristics as functional affordances in the formation of serendipity. The extensive empirical study contributes a detailed analysis of the antecedents of serendipity and opens avenues for research and design to identify new serendipity-inducing mechanisms.
AB - Serendipity experiences are highly desirable in work life, considering both individuals' learning and organizational innovation capacity. This study looks into information and social serendipity in the context of Twitter. While Twitter can be viewed as a fruitful platform for serendipity to emerge, there is little understanding of what technology characteristics and use practices contribute to such experiences in work-related use. Drawing from the functional affordances theory, the paper investigates the role of presenteeism, self-disclosure, recommendation quality and pace of change, and different types of Twitter use as possible antecedents of serendipity. A cross-sectional international online survey was conducted with 473 respondents who actively use Twitter in their work. An exploratory factor analysis was performed, followed by linear regression analysis to identify relevant statistical associations. The findings indicate that presenteeism (i.e., the fundamental element of reachability) seems to have an effect on serendipity while the more designable characteristics, like the quality of recommendations, do not. Overall, the findings imply that serendipity experiences are primarily explained by individual characteristics like personality and specific ways of using Twitter. This is amongst the first studies on the role of Twitter characteristics as functional affordances in the formation of serendipity. The extensive empirical study contributes a detailed analysis of the antecedents of serendipity and opens avenues for research and design to identify new serendipity-inducing mechanisms.
KW - Information serendipity
KW - IT-supported Serendipity
KW - Knowledge work
KW - Online survey
KW - Serendipitous Social Encounters
KW - Social networking
KW - Social serendipity
KW - User experience
U2 - 10.1145/3569219.3569346
DO - 10.1145/3569219.3569346
M3 - Conference contribution
AN - SCOPUS:85142603120
T3 - ACM International Conference Proceeding Series
SP - 89
EP - 101
BT - Proceedings of the 25th International Academic Mindtrek Conference
PB - ACM
T2 - International Academic Mindtrek conference
Y2 - 16 November 2022 through 18 November 2022
ER -