Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human behaviour…
Abstract
Purpose
Social Media is one of the largest platforms to voluntarily communicate thoughts. With increase in multimedia data on social networking websites, information about human behaviour is increasing. This user-generated data are present on the internet in different modalities including text, images, audio, video, gesture, etc. The purpose of this paper is to consider multiple variables for event detection and analysis including weather data, temporal data, geo-location data, traffic data, weekday’s data, etc.
Design/methodology/approach
In this paper, evolution of different approaches have been studied and explored for multivariate event analysis of uncertain social media data.
Findings
Based on burst of outbreak information from social media including natural disasters, contagious disease spread, etc. can be controlled. This can be path breaking input for instant emergency management resources. This has received much attention from academic researchers and practitioners to study the latent patterns for event detection from social media signals.
Originality/value
This paper provides useful insights into existing methodologies and recommendations for future attempts in this area of research. An overview of architecture of event analysis and statistical approaches are used to determine the events in social media which need attention.
Details
Keywords
Neha Gupta, Manya Khanna, Rashi Garg, Vedantika Sethi, Shivangi Khattar, Purva Tekkar, Shwetha Maria, Muskan Gupta, Akash Saxena, Parul Gupta and Sara Ann Schuchert
This study aims to examine the psycho-emotional and social experiences of caregivers of children with autism spectrum disorder. Various facets of the caregiving experience are…
Abstract
Purpose
This study aims to examine the psycho-emotional and social experiences of caregivers of children with autism spectrum disorder. Various facets of the caregiving experience are explored, including the feelings and thoughts of the parents/caregivers, such as the resilience experienced in their journey, how they coped with the challenges and also their positive experiences.
Design/methodology/approach
In this study, these aspects of the caregiving experience are broadly probed using semi-structured interviews subjected to narrative analysis. Lastly, there is a focus on the role of therapist-led intervention, specifically, the Eye to I© intervention model and its contributions to the parent/caregiver experience.
Findings
Findings from this study indicate that parents benefit from interventions that bridge gaps in skills and interpersonal communication which parents/caregivers feel they encounter in their day-to-day activities. Additionally, support groups for parents and caregivers could further address these issues.
Originality/value
This exploration reveals insights about the roles of societal structures and the caregiving journey.
Details
Keywords
Aashish Garg, Muskan Sachdeva, Simarjeet Singh and Pooja Goel
This paper aims to cognizance consumers' intention to participate in collaborative consumption (CC). Also, the gender difference regarding the above is examined.
Abstract
Purpose
This paper aims to cognizance consumers' intention to participate in collaborative consumption (CC). Also, the gender difference regarding the above is examined.
Design/methodology/approach
To quantify the consumers’ intention to participate in CC cross-sectional survey method has been used. In total, 333 potential consumers selected through convenience sampling participated in the survey. The study used the capabilities of the structured equation modelling technique to validate the proposed research model.
Findings
Except for hedonic motives, all other drivers such as reputation, economic benefits, sustainable motives and trust have a significant influence on the intention to participate in CC. The effect of gender was found on the relationship between Trust and Intentions only.
Practical implications
This study can be used as a guiding path in the domain of CC for practitioners, marketers, startups and policymakers as the opinion of potential users has been reported. The results of the study highlight that the consumers’ interest in CC participation and social reputation are the most influential drivers of intention to participate in CC. Marketers should design their strategies in such a way that the individual should feel like a social hero rather than just a responsible consumer while participating in CC.
Originality/value
The present study contributes to the literature by examining the intention to participate in CC through the lens of self-determination theory (SDT), specifically in the Indian context. The authors have also extended the SDT by adding a trust factor that is best to their knowledge not integrated till now. The present study integrated cognitive, economic, psychological and relational aspects to understand CC behavior.
Details
Keywords
Muskan Sachdeva, Ritu Lehal, Sanjay Gupta and Aashish Garg
In recent years, significant research has focused on the question of whether severe market periods are accompanied by herding behavior. As herding behavior is a considerable cause…
Abstract
Purpose
In recent years, significant research has focused on the question of whether severe market periods are accompanied by herding behavior. As herding behavior is a considerable cause of the speculative bubble and leads to stock market deviations from their basic values it is necessary to examine the motivators which led to herding behavior among investors. The paper aims to discuss this issue.
Design/methodology/approach
In this study, the authors performed a two-phase analysis to address the research questions of the study. In the first phase, for text analysis NVivo software was used to identify the factors driving herding behavior among Indian stock investors. The analysis of a text was performed using word frequency analysis. While in the second phase, the Fuzzy-AHP analysis techniques were employed to examine the relative importance of all the factors determined and assign priorities to the factors extracted.
Findings
Results of the study depicted Investor Cognitive Psychology (ICP), Market Information (MI), Stock Characteristics (SC) as the top-ranked factors driving herding behavior, while Socio-Economic Factors (SEF) emerged as the least important factor driving herding behavior.
Research limitations/implications
The current study was undertaken among stock investors from North India only. Moreover, numerous factors are not part of the study but might significantly influence the investors' herding behaviors.
Practical implications
Comprehending the influences of the different factors discussed in the study would enable stock investors to be more aware of their investment choices and not resort to herd behavior. This research enables decision-makers to understand the reasons for herd activity and helps them act accordingly to improve the stock market's performance.
Originality/value
The current study will provide an inclusive overview of herding behavior motivators among Indian stock investors. This study's results can be extremely useful for both academics and policymakers to gain some insight into the functioning of the Indian stock market.
Details
Keywords
Muskan Sachdeva, Ritu Lehal, Swati Gupta and Sanjay Gupta
The behavioural decision-making process of individuals highlights the importance of investors’ sentiment and their correlation with the real economy. This paper aims to contribute…
Abstract
Purpose
The behavioural decision-making process of individuals highlights the importance of investors’ sentiment and their correlation with the real economy. This paper aims to contribute to the literature of behavioural finance by examining the influence of contextual factors on investment decision-making.
Design/methodology/approach
Using a questionnaire, a total of 445 valid responses were collected from March to May 2021 through online sources. The current study uses a technique of Fuzzy-analytical hierarchical process (AHP) to assign relative weights to various contextual factors influencing investment decision-making. Harman’s single factor test was used to check common method bias.
Findings
Results of the study reveal that accounting information, self-image/firm-image coincidence, and neutral information as the top-ranked factors in influencing investment decisions, whereas advocate recommendation and personal financial needs emerged as less important factors in influencing investment decisions.
Research limitations/implications
The current study collects data from Indian stock market investors, which may limit the generalization of the study to India only. Moreover, this study is cross-sectional in nature, and there are numerous factors that are not part of the study but might significantly influence the investors’ decision-making process.
Practical implications
The research has implications for both academicians working in the area of behavioural finance and practitioners’ who are active in stock markets, more specifically dealing with retail investors and in the domain of personal finance. Also, the current study will accommodate different groups, i.e. policy makers, financial advisors, investors, investment professionals, etc. in carrying out their professional work.
Originality/value
The current study will provide a comprehensive overview of individual investor behaviour. To the best of the authors’ knowledge, the present study is one of its kind to use the Fuzzy-AHP technique for evaluating the relative ranks of contextual factors influencing investment decision-making.