Big crisis data, contradictions and perceived value of social media crowdsourcing in pandemics

Al-Omoush, Khaled Saleh; Zardini, Alessandro; Alqirem, Raed Musbah; Ribeiro‐Navarrete, Samuel

doi:10.1080/1331677x.2020.1867604

Cited by 11 publications

(6 citation statements)

References 29 publications

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“…Covid-19 has positively affected Fintech, particularly crowdfunding, as indicated by Wahjono et al (2021) , so it is now important to analyze users’ perceptions of this type of platform. Since authors such as Al-Omoush (2021) have considered that due to large pandemics, due to the data available on social media have generated contradictions, lack of trust and changes in the perceived value of crowdsourcing. To this end, this study uses primary data generated via a survey of 135 investors on the Colectual platform and tested through Fuzzy Set Qualitative Comparative Analysis (fsQCA).…”

Section: Introductionmentioning

confidence: 99%

Investors’ confidence in the crowdlending platform and the impact of Covid-19

María

Ulrich

Cristina

et al. 2023

Journal of Business Research

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Section: Introductionmentioning

confidence: 99%

Investors’ confidence in the crowdlending platform and the impact of Covid-19

María

Ulrich

Cristina

et al. 2023

Journal of Business Research

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“…Consequently, firms that deal with large volumes of data should steer clear of random data processing approaches (Wisna, 2013; Warren et al , 2015). The advancement of techniques like pattern recognition and natural language processing has increased the predictive capability of data analytics (Al-Omoush et al , 2021). Due to advancements in data collection and processing technology, the role of managers, accountants and auditors in producing, analyzing and encouraging information use has shifted away from simply providing accurate and reliable information and toward providing a system that can be monitored and improved over time to provide accurate and reliable information (Elliott, 1992; Zadeh et al , 2015; Balios et al , 2020; Abu Afifa et al , 2022).…”

Section: Introductionmentioning

confidence: 99%

Big Data analytics and financial reporting quality: qualitative evidence from Canada

Saleh

Marei

Ayoush

et al. 2022

JFRA

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Purpose Big Data analytics (BDA) and its implications for the accounting profession continue to be a key issue that requires more research and evaluation. As a result, the purpose of this study is to evaluate the impact of BDA on financial reporting quality, as well as to assess the accounting challenges associated with Big Data. It provides qualitative evidence from Canada. Design/methodology/approach This study used a qualitative approach to ascertain the thoughts and perceptions of auditors, financial analysts and accountants at Canadian audit and accounting firms in BDA and its impact on financial reporting quality, using semi-structured interviews. To obtain their consent to participate in the interview, 127 auditors, financial analysts and accountants from Canadian audit and accounting firms were initially approached. The final number of respondents was 41, representing a response rate of 32%. Findings The authors’ findings underscored the relevance of Big Data and BDA in affecting financial report quality and revealed that BDA had a significant effect on improving financial reporting quality. Big Data improves accounting reporting and expert judgment by providing professional. In summary, participants agreed that when analytical methods in Big Data are implemented effectively, businesses may possibly achieve a variety of benefits, including customized goods, simplified processes, improved risk assessment process and, finally, increased risk management. Practical implications The authors’ findings indicate that BDA may help predict investment returns and risks, estimate future investment opportunities, forecast revenues, detect fraud and susceptibility early and identify economic growth opportunities. As a result, auditors, financial analysts, accountants, investors and other strategic decision-makers should be aware of these findings to make informed choices. Originality/value Big Data has become the norm in recent years; accountants and other decision-makers have struggled to analyze massive amounts of data. This limits their capacity to profit from such data even more. Therefore, this study is motivated by the lack of research on Big Data’s influence on financial report quality.

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“…The first stage is the development of an assessment system to select the eligibility of credit applications by customers through cooperating with big data companies as third parties in order to obtain information regarding potential borrowers. Considering that currently big data has an important role indirectly in directing contradictions, trust and perceived value from users of all types of internet-based platforms ( Al-Omoush et al., 2021 ). Therefore, the development of a platform supported by big data is an important factor for peer-to-peer lending business.…”

Section: Discussionmentioning

confidence: 99%