Theory building with big data-driven research–Moving away from the “What” towards the “Why”
AK Kar, YK Dwivedi - International Journal of Information Management, 2020 - Elsevier
Data availability and access to various platforms, is changing the nature of Information
Systems (IS) studies. Such studies often use large datasets, which may incorporate …
Systems (IS) studies. Such studies often use large datasets, which may incorporate …
A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis
Purpose This paper aims to epistemologically extend and explore the present theories from
prior research conducted in the area of responsiveness. Furthermore, it determines to …
prior research conducted in the area of responsiveness. Furthermore, it determines to …
Emotional Text Mining: Customer profiling in brand management
F Greco, A Polli - International Journal of Information Management, 2020 - Elsevier
The widespread use of the Internet and the constant increase in users of social media
platforms has made a large amount of textual data available. This represents a valuable …
platforms has made a large amount of textual data available. This represents a valuable …
Using social network and semantic analysis to analyze online travel forums and forecast tourism demand
AF Colladon, B Guardabascio, R Innarella - Decision Support Systems, 2019 - Elsevier
Forecasting tourism demand has important implications for both policy makers and
companies operating in the tourism industry. In this research, we applied methods and tools …
companies operating in the tourism industry. In this research, we applied methods and tools …
Social media opinion summarization using emotion cognition and convolutional neural networks
Quickly and accurately summarizing representative opinions is a key step for assessing
microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule …
microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule …
Customer mindset metrics: A systematic evaluation of the net promoter score (NPS) vs. alternative calculation methods
Abstract The Likelihood-to-Recommend (LTR) question is a well-established marketing
accountability metric that forms the basis of Net Promoter Score (NPS). NPS has been …
accountability metric that forms the basis of Net Promoter Score (NPS). NPS has been …
Are customer reviews just reviews? Hotel forecasting using sentiment analysis
Despite the important role of the sentiment of customer reviews in the tourist decision-
making process, it has received limited attention from the field of tourism demand …
making process, it has received limited attention from the field of tourism demand …
It is rotating leaders who build the swarm: Social network determinants of growth for healthcare virtual communities of practice
G Antonacci, A Fronzetti Colladon… - Journal of Knowledge …, 2017 - emerald.com
Purpose The purpose of this paper is to identify the factors influencing the growth of
healthcare virtual communities of practice (VCoPs) through a seven-year longitudinal study …
healthcare virtual communities of practice (VCoPs) through a seven-year longitudinal study …
The language and social behavior of innovators
Innovators are creative people who can conjure the ground-breaking ideas that represent
the main engine of innovative organizations. Past research has extensively investigated who …
the main engine of innovative organizations. Past research has extensively investigated who …
Enhancing operations management through smart sensors: measuring and improving well-being, interaction and performance of logistics workers
Purpose The purpose of the research is to conduct an exploratory investigation of the
material handling activities of an Italian logistics hub. Wearable sensors and other smart …
material handling activities of an Italian logistics hub. Wearable sensors and other smart …