Despite the intense discussion of this topic in people's lives and their financial transactions, there is a lack of empirical evidence regarding behavioral financial awareness barriers to working individuals in the current literature. Accordingly, this study aims to identify the behavioral factors that affect financial awareness, which were represented by the negative emotions of working individuals. The conceptual framework of the study was built on these main variables. The government banking sector in Iraq was the place of application of the study. The questionnaire was adopted as a main tool in data collection, relying on five government banks, and the sample was (217) of working individuals, whose method of selection was the simple random method, and based on some statistical tools available in the programs (SPSS.V.22 -AMOS.V.22) The study reached the following conclusions: There is a direct negative impact of negative emotions on the financial awareness of banks.
The idea of financial literacy and its significance are hot topics both now and in former years. In order to make sensible judgments, one needs to be aware of and knowledgeable about finances [1]. Every decision we make has a financial component, therefore poor decisions result in financial losses [2]. For this reason, financial efficiency is crucial throughout life, not just when picking a bank account or applying for a loan [3]. Recent crises have amply demonstrated the harm that a lack of financial literacy and knowledge can do as well as the devastation that may ensue from events brought on by imprudent financial choices [4]. Lack of financial awareness and understanding has serious negative effects on the economy, promotes reckless financial behavior, increases social isolation and poverty, and prolongs the time it takes to find answers [5]. The 2008 financial crisis and the subsequent collapse of repeatedly and carelessly accepted loan products made all of this plainly obvious. More than 10 years later, a lot of research and studies have been done to advance financial literacy, but they typically ended up in "desk drawers," and significant advancement is still only occasionally seen and felt [6]. Even today, general education is unprepared for the development of truly essential abilities and the efficient transfer of financial information [8]. The coronavirus pandemic crisis served as more proof of the lack of financial literacy Closings that were unexpected and unheard-of have brought new aspects of financial literacy to light. The significance of financial difficulties that may be addressed from home was taken into consideration while reevaluating previous financial decisions (including selecting a banking service provider). The aim of the study is to demonstrate how emotions might affect people's financial awareness who work in Iraqi banks.
So, the fundamental query is:
"What influence does negative emotion have in the financial awareness of those working in the Iraqi banking system
As this research was conducted on a number of Iraqi government banks,
In light of this, the subsequent sub-questions can be raised:
What does it mean to feel bad
How do people who work in Iraq's banking system's financial awareness respond to unpleasant emotions
What challenges do those who work in the banking industry have in terms of their financial literacy
Learning Objectives
Building a conceptual model for the study variables represented by the independent variable (negative emotions: anger, fear) and the dependent variable (financial awareness of banks) is related to the research's objectives. It also involves examining the relationships between the variables. Additionally, determining the strength of the direct influence relationship between the dependent variable and the independent variable (bad emotions) (financial awareness).
Significance of the Study
The application of this study reflects the importance of the practical level of workers in the banking sector through digital transformation and identifying the psychological impact of the negative characteristics in accepting financial awareness in the place of study, which contributes to achieving the objectives of the banking system as a whole and the optimal use of its resources and capabilities through the role that financial awareness plays in raising the level of performance And the productivity of workers, and thus benefit from the results and recommendations of this study in developing the practical application level, which helps in improving their performance and setting appropriate plans to avoid the challenges that resulted from their application, given the number of studies that dealt directly or indirectly with the relationship between the independent variable and the research-dependent variable Currently, a limited examination has been conducted for researchers in previous studies related to the study variables.
Study Conceptual Framework
The conceptual structure of the primary variables was founded on a number of fundamental premises, including the following: Working-class people are less likely to accept banks' financial awareness if they exhibit negative emotional qualities.
Theoretical framework
Negative Emotions: Studying emotions in the workplace is very important, as emotion cannot be separated from the workplace, as it is an integral part of it. The effect of emotion in the workplace was more evident. Many people were involved in emotional reactions so great that meditation on real work without emotions It was very difficult [8]. Emotions, during their arousal, provoke behavioral, cognitive and physiological changes that are closely related and that enable individuals to respond proportionately to environmental requirements. If these emotions are negative, the situation turns from bad to worse [9]. From the researcher's point of view, logically, there is no complete disappearance of emotions, but rather there is an occurrence in the other side of the emotions, i.e. in the negative side, so the relationship between positive and negative emotions becomes an inverse relationship. Whenever positive emotions decrease, the effects of negative emotions appear through the behavior of individuals. Emotions and feelings accompany a person throughout life, and they are clearly different and determined in different age groups. They are viewed and expressed differently, such as personality traits in the sense that they are part of the autobiography. While adults can control their emotions and provide a differential report on their emotional experiences, children first need to learn Perceiving feelings as such and developing an approximate idea of fear, joy, envy, shame, etc [10] (Figure 1).
Negative behaviors are more likely to occur when there is a lack of empathy [11]. This gives initial expectations about the results that may accompany both positive and negative feelings, but it is not that simple. At a time when positive feelings among employees play an important role in the success of organizations and in achieving positive behaviors such as higher motivation, better performance, organizational citizenship, organizational trust, loyalty, and negative feelings such as fear, hatred, hatred, jealousy and intolerance may lead to negative behaviors that may weaken the organization such as Lack of productivity, stress, and time off work [12]. Which may give us indications that positive and negative emotions each lead to known results that excessive positive emotions may lead to negative results. We note that although pride may lead to positive outcomes, excessive individualnegative results. We note that although pride may lead to positive outcomes, excessive individual pride may hinder a leader's ability to be considerate of the feelings of followers. This may also be particularly important in a political context, where humility is seen as a virtue (by virtue we mean The middle boundary between excess and dereliction) In the same context, the researchers believe that enthusiasm enables the task to be accomplished, but in practice, enthusiasm can hinder the individual's ability to focus on strict adherence to safety standards in industries that involve high risks (such as mining or wind power). Moreover, the researchers did not look at the negative effect of extreme happiness on productivity, as extreme happiness distracts from task performance [13].

Figure 1: Scheme of the Hypothetical Study
The Dimensions of Negative Emotions
Shame and Guilt: Feelings of guilt and shame are among the feelings that are related to Freud's concept of the superego, and the awareness factor that controls a person's sense. Hence, the modern concept sees guilt as specific behaviors that give rise to feelings of guilt, and that distorted perceptions of self give rise to feelings of shame. As a result of psychological complexes formed during childhood, the individual feels that his behavior deserves the kind of criticism he receives, and as a result, he spends a long time working hard to be “good” to invalidate aspects of his behavior that made him feel guilty in order to fulfill his high expectations [14]. Shame and guilt can be conceptualized as a set of 'self-conscious feelings' elicited by self-reflection and self-evaluation, and that these feelings involve people's reactions to their own characteristics or behavior [15]. Although shame is a self-conscious emotion, most of the time it is detected in social conditions that threaten social identity in a theoretical framework that articulates the consequences of exposure to events that threaten one's social self (i.e. one's social value or status). And the decline in the social status and social status of the person is primarily responsible for evoking the feeling of shame [16].
Fear and Anger
Fear and anger are attributed to a behavioral disorder, as the behavior disorder involves at least two mood pathways, one of which emanates from a low fear response and the other either from a high stimulus or a high reaction to anger [17]. Fear is a discrete negative emotion that arises in response to an unfavorable event. Fear differs from anger, although fear stems from the perceived threat as we can see that its connection to regulatory behaviors may be significantly different, with anger we may expect opposite action behaviours, while fear goes into withdrawal behaviours [18].
Financial Awareness
The degree to which organizations and people are aware of digital financial services platforms is referred to as financial awareness [19]. The acceptance of digital financial services is growing as a result of increased financial literacy. The financial awareness element was not, theoretically, included in the UTAUT2 model, despite the fact that earlier IT studies have recommended it as an additional component that might persuade consumers to accept new technology. However, in the same context, a number of earlier studies [20-21] support the notion that user knowledge is a key factor in determining the uptake of digital financial services.
Furthermore, as shown by several studies, a significant body of research has not been free from including security and privacy concerns in pertinent search paradigms [22]. However, it can be argued that security and privacy concerns are not the only thing preventing the widespread adoption of digital payment services. Numerous other factors have also been mentioned, such as the services' perceived utility, unintuitive system design, and general lack of knowledge about these services [23]. Furthermore, despite the fact that numerous research on the global underuse of digital financial services have been carried out, the conclusions of these studies have varied, with some identifying a strong correlation and others not.
To build financial awareness, one must have timely access to the greatest information regarding costs, financial aid, and savings options. Financial awareness is largely dependent on timely access to the best information. Despite the fact that many working people struggle to develop their own financial awareness extensively in order to obtain a tool that helps them in navigating complex financing options and rising costs, most people who work in low-income banks tend to have less exposure to sources of financial information and less confidence in the accuracy of their knowledge of costs in financial transactions [24-26]. This study gathers data on access to information about expenses and financing possibilities in order to better understand how to close knowledge and awareness gaps among people working in banks.
According to the previous research examined, the following three informational resources were determined to be crucial for working people who are financially literate:
Peers and Coworkers
Bank Advisers
Banking Institutions Websites and Internet Sites
The most crucial sources of information and encouragement are peers and coworkers. According to prior studies [27-29], peer and workplace involvement in financial assistance may be particularly crucial in assisting working adults in becoming financially aware. Peers and coworkers' knowledge of financial transaction costs, their ability to accurately estimate those costs, and their exposure to information about financial aid, on the other hand, varies across income and educational levels [25,27]. A significant portion of participants in qualitative studies of working people, peers, and coworkers do not recognize various sorts of financial transaction charges, such as transaction fees and other prices [30]. Working people, colleagues, and coworkers also have broad preconceptions and scant knowledge about the conditions for financial transactions and the scope of financial help.
Study Design
To better comprehend the nature of the study's present challenge, which had only been superficially explored in earlier research [31]. To address the issue with the study and comprehend the phenomena better, the exploratory design will be used [32]. Additionally, the researcher must be able to examine the causal relationships between the primary and dependent variables in order to demonstrate how the independent variable affects the dependent variable. In order to find a solution to the issue that served as the impetus for the start of the research project, the proper method must be chosen to gather the necessary data, and the data must be used and analyzed to address the research questions.
Data Gathering Techniques
In order to accurately understand the problem, how the study variables are measured, and what is needed, the study relied on data collection from structured personal interviews with a number of the study sample as well as the use of a questionnaire tool. The final questionnaire was composed of 30 paragraphs, which in turn covered the primary study variables, including two dimensions. The (Likert) five scale was used as the basis for two subscales, which included the following responses: strongly agree, agree, neutral, disagree, strongly disagree; completely different from me; completely similar to me; moderately different from me; slightly different from me; and finally the responses (very little, little, medium, much, very much).
Exam Sample
The sample (bank employees) was randomly selected from five government-run banks in the Dhi Qar Governorate, and their opinions were polled. The ideal sample size for each population is listed in a table.
Methods Used in Data Analysis
To describe and analyze the research variable data and evaluate the study's hypotheses, a variety of statistical techniques were applied. These techniques can be explained as follows, depending on the computer for a set of pre-made application applications (SPSS. V. 22): Internal consistency, or the degree to which the test gives findings that are nearly identical under similar circumstances and at all times, is expressed using (Cronbach's and Item-Total-Correlation). For that, I employ SPSS. V.22. The normal distribution of the data is ensured by skewness and kurtosis for the purposes of utilizing parametric statistical methods. For that, I employ SPSS. Factor Analysis Exploratory, Version 22: Searching for and identifying presumptive critical dimensions by condensing the data from several important factors into a smaller set of new dimensions. For that, I employ SPSS. To determine how closely measurements measuring the same notion relate to one another in practice, V.22 and Convergent Validity are used. Moreover, Discriminant Validity The AMOS program was used for these two analyses in order to determine the degree to which one measure differed from another measure that assesses a distinct conceptual framework. V.22. and ways to gauge how the study sample responded to the primary variables and their dimensions. Additionally, Standard Deviation can be used to gauge how much the results deviate from the arithmetic mean. And variation coefficient: to ascertain the coefficient of variation in the sample's response to the study's variables. These analyses employed the SPSS software. V.22. In order to establish the direction of the link between the variables and study aspects in order to support the hypotheses, Pearson's Correlation is also used. This analysis uses the SPSS software. V.22. Determine the direct and indirect impacts of the independent variables on the dependent using path analysis. This analysis was conducted using AMOS software. V.22.
Procedural Framework
Skewness and Kurtosis: The "Skewness & Kurtosis" test, which is distinguished by high accuracy and gives a clear picture of the nature of the data whether it is distributed normally or not when the collected data is for one sample, is one method for testing the normal distribution of data [33]. To do this, subtract the Skewness & Kurtosis values from the standard deviation of each of the variables and their dimensions. This yields the Z value. If the estimated Z value of "Skewness & Kurtosis" falls within the range of 1.96 at a significant level of 0.05, the data are considered to be normally distributed [34]. The results are shown in Table 1.
The Gold Standard of Internal Integrity
Utilizing Cronbach's Alpha to assess internal consistency, the final study measures' stability and consistency are verified [35]. The degree to which the scale items are accurately represented for each scale utilized in the study is referred to as internal consistency [33]. Cronbach's Alpha coefficient values are statistically acceptable in the field of administrative and behavioral research if their value is more than (0.70) [34].
Correlation Coefficients and Descriptive Statistics
The goal of Pearson correlation is to determine the strength and direction of the relationship between the variables. In terms of trend, a positive correlation between the two variables denotes a direct relationship, where a negative correlation denotes an offset between an increase in one variable and a decrease in the other. The association is inverse for the other variable [34]. In terms of strength, the correlation is entirely positive or negative when its value falls between (1.0) and (0.7), strong positive or negative when it falls between (0.3) and (1.0), and weak positive or negative when it falls between (0.3) and (0) [36] (Table 2).
Table 1: Normal Distribution Test
| Skewness | Kurtosis | |||||
| Statistic | Std. Error | Z Skewness | Statistic | Std. Error | Z Kurtosis | |
| anger | -0.237 | 0.169 | -1.402 | -0.12 | 0.337 | -0.356 |
| Fear | -0.173 | 0.169 | -1.023 | -0.373 | 0.337 | -1.106 |
| negative emotions | -0.167 | 0.169 | -0.988 | -0.26 | 0.337 | -0.771 |
| Financial awareness | -0.312 | 0.169 | -1.846 | 0.284 | 0.337 | 0.842 |
Table 2: Cronbach's Alpha
| Variables and Dimensions | Before Deletion Cronbach's Alpha | After Deletion Cronbach's Alpha |
| Anger | 0.876 | 0.881 |
| Fear | 0.870 | 0.879 |
| negative emotions | 0.887 | 0.890 |
| Financial awareness | 0.876 | 0.881 |
Table 3: Correlation
| Variable | Mean | Std. Deviation | negative emotions | Financial awareness |
| negative emotions | 3.506 | 0.580 | 1 | |
| Financial awareness | 3.540 | 0.726 | 0.399** | 1 |
Table 4: Testing the main hypotheses
| Path | Estimate | S.E. | C.R. | P | Label | |||
| H1 | negative emotions | <--- | Financial awareness | 0.572 | 0.065 | 9.982 | *** | Accept |
Table 5: Direct Sub-Hypothesis Testing
| The course of direct sub-hypotheses | Estimate | S.E. | C.R. | P | Label | |||
| H1a | Anger | <--- | Financial awareness | 0.262 | 0.068 | 3.688 | *** | Accept |
| H1b | Fear | <--- | Financial awareness | 0.027 | 0.064 | 0.368 | 0.713 | Refusal |
The presentation of Table 3 makes it obvious that there is a linear association between the study's variables. Based on that correlation, we can deduce that there was a negative correlation between the banks' negative emotions and their financial awareness, which caused them to reject financial awareness in an effort to lessen their emotional distress. This is what allows the banking sector organizations to grow. Her hand is on the core of the issue with the relationship between bank financial awareness and personalities who experience bad emotions.
testing Hypotheses
The AMOS program's pathway analysis was used by the researchers. V. 23 in order to match this analysis with models of studies that incorporate intermediate variables and evaluate the primary and supporting hypotheses Model for a mediator Assuming that the causal relationship of the intermediate factors is added to the relationship of the influence of the independent variables on the dependent variable, the path analysis is based on chains of multiple regression analysis. The effect linkages between the study's variables are displayed in Table (5).
Table 4 makes it abundantly evident that the hypotheses were accepted because the data demonstrated the direct detrimental influence that negative emotion associations had on bank financial awareness, with an effect calculated at (0.572).
Direct Examination of the Sub-Hypothesis
The route analysis test was carried out to test the sub-hypotheses by confirming the direct relationship between the dimensions of the study's primary variables.
The table above makes it clear that all of the direct sub-hypotheses between the variables were accepted, with the exception that there was no direct, negative, significant, or statistically significant effect of anger on financial awareness and that there was an effect of fear on financial awareness.
The results showed that there is a direct, negative and statistically significant effect relationship between negative emotions and the acceptance of financial awareness for individuals working in the banking sector, as it seems that the negative aura surrounding negative emotions and the reactions they encounter from others makes them the personalities associated with them more troubled than others, which is What is justified is the nature of the intellectual distress that accompanies negative emotions such as anger and fear, which in turn limits financial awareness in accordance with reality, as anger often leads to impulsive decisions to take revenge to reduce the feeling of anger and may lead to financial decisions to reduce the intensity of discomfort from the loss and thus make an emotional decision and not a decision It is subject to a balance between emotion and logic. In addition, the sense of fear is usually an obstacle for many individuals working in banks to verify positive or even realistic financial information in order to try to avoid any possible loss.
Recommendations
According to the importance of the role of climate and positive energy and its impact on the personality of individuals working in Iraqi government banks, it is important to take into account the availability of a positive climate, especially those that promote emotions that directly affect the actions and perceptions of working individuals and the resulting reactions of others, acceptance or rejection of any financial information (Such as financial awareness in the banking work environment) Those who have high empathy, for example, have an increased ability to understand and broadly perceive the information that is of interest due to the nature of the alert mind that accompanies the emotional stability of the working individuals. Financial, as the individual’s realization that he possesses sufficient financial awareness for financial transactions increases the sense of pride and therefore positive emotions, in the sense that it will act as a positive ring that feeds itself.
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