TY - CHAP
T1 - Social Media Analytics for Operations and Supply Chain Management
T2 - Opportunities, Challenges, and Paradoxes
AU - Kinra, Aseem
AU - Siekmann, Fabian
AU - Kotzab, Herbert
PY - 2022/9/11
Y1 - 2022/9/11
N2 - Industrial and academic communities in the field of operations and supply chain management (OSCM) have been paying increasing attention to social media analytics (SMA). However, the disparity of social media has inspired new ways of thinking about how data are produced, organized, and analyzed. This chapter addresses how OSCM is affected by this disparity and provides an overview of SMA use, applications, and challenges in the domain. A directed content analysis of current application-oriented research is carried out to review SMA in OSCM from a signaling theory perspective. In particular, we shed light on data sources, opportunities, challenges, paradoxes, and current managerial issues and seek to inform research practices and policy in order to advance operations and supply chain management research. The chapter contributes to the understanding of SMA in OSCM by identifying a set of paradoxes and challenges that have not previously been identified in OSCM research. By relating SMA to social media data sources and OSCM activities, it sheds light on preferred sources and application scenarios and discusses the imponderables of social media signal processing in OSCM.
AB - Industrial and academic communities in the field of operations and supply chain management (OSCM) have been paying increasing attention to social media analytics (SMA). However, the disparity of social media has inspired new ways of thinking about how data are produced, organized, and analyzed. This chapter addresses how OSCM is affected by this disparity and provides an overview of SMA use, applications, and challenges in the domain. A directed content analysis of current application-oriented research is carried out to review SMA in OSCM from a signaling theory perspective. In particular, we shed light on data sources, opportunities, challenges, paradoxes, and current managerial issues and seek to inform research practices and policy in order to advance operations and supply chain management research. The chapter contributes to the understanding of SMA in OSCM by identifying a set of paradoxes and challenges that have not previously been identified in OSCM research. By relating SMA to social media data sources and OSCM activities, it sheds light on preferred sources and application scenarios and discusses the imponderables of social media signal processing in OSCM.
KW - Operations and Supply Chain Management
KW - Social media analytics
KW - Data quality
U2 - 10.1007/978-3-031-04063-4_10
DO - 10.1007/978-3-031-04063-4_10
M3 - Book chapter
SN - 9783031040627
T3 - Advanced Studies in Diginomics and Digitalization (ASDD)
SP - 185
EP - 212
BT - Diginomics Research Perspectives
A2 - Hornuf, Lars
PB - Springer
CY - Cham
ER -