Hedonic consumption of virtual rides entertainment service: a multi-method perspective: SEM and fsQCA Amir Zaib Abbasi, Farhan Mirza, Mousa Albashrawi, Ding Hooi Ting, Ghazanfar Ali Abbasi Kybernetes, 2025 PurposePrior studies have put much emphasis on using the uses and gratification (U&G) theory to find out why people use games, social media, the Internet, e-shopping, etc. Despite past research efforts, the root causes underlying this phenomenon still need to be discovered as to why people use interactive virtual rides (vrides) entertainment services, especially when incorporating the hedonic consumption perspective (i.e. playful-consumption experiences). Considering the knowledge gap in the vrides’ context, this study aims to use the UGT to find out why people use the vrides entertainment service from a hedonic consumption point of view.Design/methodology/approachWith 217 usable responses, the research model was tested using partial least squares-based structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).FindingsFindings reveal that only perceived enjoyment, arousal and sensory experience derive continuous intention behavior to consume vride entertainment service. Findings using the fsQCA revealed multiple causal configurations for the proposed outcome.Originality/valueThis study contributes to extending the assumption of UGT via incorporating the hedonic consumption perspective to explore the potential motives and intention to consume vrides entertainment services. Our study also discusses the important theoretical/practical implications of our findings. Besides, this study is unique because it shows both symmetrical and asymmetrical connections that help us understand why people keep using vrides entertainment service.
Time-frequency dynamics of public sentiment transmission in GCC equity markets: evidence from textual analysis Adnan Ameen Bakather, Mohammad Ashraful Ferdous Chowdhury, Mousa Ahmad Al-Bashrawi, Mohammad Abdullah International Journal of Islamic and Middle Eastern Finance and Management, 2025 Purpose This study aims to investigate the time-frequency dynamics of public sentiment transmission in Gulf Cooperation Council (GCC) equity markets, using a novel Twitter-based sentiment index for the GCC stock market. Design/methodology/approach This study constructs a comprehensive Twitter-based sentiment index for the GCC equity market, using 1,107,449 tweets spanning the period 2014–2022. The FinBERT deep learning model is used to perform the sentiment analysis. Moreover, the authors use complete ensemble empirical mode decomposition with adaptive noise-based variable-lag transfer entropy to examine the information flow. Findings The results reveal a significant negative association between the GCC Twitter sentiment index and stock returns in the GCC equity market. The transfer entropy result reveals significant information flow of public sentiment toward the GCC stock market. Moreover, time-frequency analysis indicates that sentiment transmission is more evident in the short- and medium-term scales. Research limitations/implications The study’s findings have significant policy implications, indicating the need for a more complete governance mechanism for GCC stock markets to reduce the impact of irrational investor sentiment on stock returns. The study also emphasizes the need of taking social media sentiment into account when conducting market analysis and making decisions. Originality/value This study adds to the existing literature by introducing a new Twitter-based sentiment index for the GCC stock market and using a novel methodology to investigate the time-frequency dynamics of sentiment transmission.
Digital Transformation in the IS field: GREAT Research Opportunities in Saudi Arabia and the Gulf Cooperation Council Countries Communications of the Association for Information Systems, 2025
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The role of it on entrepreneurial intention: The effect of general computer self-efficacy and computer anxiety Amcis 2017 America S Conference on Information Systems A Tradition of Innovation, 2017
The impact of subjective and objective experience on mobile banking usage: An analytical approach Proceedings of the Annual Hawaii International Conference on System Sciences, 2017
Adoption of mobile ERP in traditional-ERP organizations: The effect of computer self-efficacy Amcis 2016 Surfing the IT Innovation Wave 22nd Americas Conference on Information Systems, 2016
The moderating effect of privacy and personalization in mobile banking: A structural equation modeling analysis 2015 Americas Conference on Information Systems Amcis 2015, 2015
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