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INDEXED PUBLICATIONS2
CROSSREF CITATIONS17
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS8.5

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

Research collection

2 publications

JOURNAL ARTICLE

Investigating the effect of the social customer relationship management (CRM) on customers and financial performance

Ali B Abduljabar Al mashahedi · Jing Zhang · Sinan Harjan

International Journal of Research in Business and Social Science · 2021

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This research aims to investigate the effect of the social customer relationship management (CRM) process on achieving superior levels of costumers and financial performance. The object of this research is the Iraqi firms at the Iraqi environment market, while the subject is more than 200 respondents. Six variables from the research data were gathered through an instrument model invalid form that structured to be measured through reliable questionnaires. Statistical Analysis of the research data used partial least squares structural equation modeling with the significance in accordance with the output of SPSS 22.0. The findings indicate that the social CRM technologies of the firms improve the innovation activities on Both (services and products). This has a positive effect on the ability to achieve high performance through building customer-linking capabilities by adopting innovations, resulting in higher levels of efficiency. In exchange, higher levels of consumer contribution lead to having positive levels of customer and financial performance.

DOI 10.20525/ijrbs.v10i1.9803 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Financial Technology (Fintech) and cybersecurity

Hayder M. Kareem Al Duhaidahawi · Jing Zhang · Mustafa S. Abdulreda · Meriem Sebai

International Journal of Research in Business and Social Science · 2021

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In this paper, we investigate the definition of Fintech and measure the extent of the impact of Fintech variables on the Cybersecurity as the dependent variable. The hypotheses developed by the authors which are based on research through the statistical results of the research variables and as all correlation coefficients were a positive relationship and at the level of significance 0.01 which made the authors accept the correlation hypotheses, and for the results of the influence factor between the research variables it also had a positive effect when the level of 0.05 for all sections of the independent variable, as we have also noticed that the influence of the independent variable of financial technology when linked to all of its sections with Cybersecurity. We find the influence of the influence coefficient significantly increased to 0.908, which explains that there is a complementarity between the sections of the independent variable.

DOI 10.20525/ijrbs.v9i6.91414 Crossref citations16 OpenAlex citations