Business Ethics and Irrationality in SME During COVID-19: Does It Impact on Sustainable Business Resilience?

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Business Ethics and Irrationality in SME During COVID-19: Does It Impact on Sustainable Business Resilience?

Introduction

In business, society, and economy, ethical and unethical behaviors all have an impact on productivity. This article examines how these factors interact (Kurniawati et al., 2021). Executive compensation, respect for the environment, treatment of stakeholders, transparency, financial fraud, and honesty in accounting are all influenced by business ethics, according to Kurniawati et al. (2021). Profit maximization and ethical business practices are inherently at odds in today’s businesses. Corporate governance and business ethics have been contemplating as part of the company’s policy to demonstrate credibility and trust, and claim despite the fact that profit expansion is the most important objective of business (Piccarozzi et al., 2021). Many large corporations, according to Burgos and Ivanov (2021), recognize the importance of ethical business practices and have incorporated them into their policies and practices as well. It is also possible that this massive company could benefit by learning how to better manage principles, corporate social responsibility (CSR) (Wu and Zhu, 2021), and governance from smaller organizations (Li, 2020; Shen, 2020), all of which can contribute to the long-term success of the company (Djalante et al., 2020). SMEs in China have played an important role in the practices and policies of organizations that can maintain the right balance between ethically run business and profit maximization, so it may be worthwhile to examine how business ethics have played such a crucial role in SMEs in China.

Irrationality and ethics play a chief role in the long-term viability of small- and medium-sized businesses (SMBs). SMBs need these two components because they directly impact customer satisfaction. This is because a satisfied customer is more likely to place additional orders and tell others about their positive shopping experience. Unhappy customers, on the other hand, vent their frustrations, avoid future purchases, and even tell others about their bad experience. Asymmetric information, product availability, and services between the advancement and its outcome can all contribute to customer dissatisfaction. Customers’ trust in your business depends on your ability to perform honestly, uphold ethical business practices, and adhere to sound financial principles (Ai et al., 2022).

Small and large businesses alike were affected by the worldwide health catastrophe that was initiated in 2020 (Bhandari, 2019; Gao et al., 2021; Solomon, 2021). A “new normal” operating environment has emerged for most SMEs related to the service industry, despite the fact that some industries have shown resilience or even found a new operating niche. The pandemic’s adverse effects have been told of in all spheres of life, including psychological (Andersson et al., 2020), political (Swainson and Mahanty, 2018), and economic and social consequences (Dalla-Pria and Rodríguez-de-Dios, 2022). Human health and the perception of human health have been particularly impacted. A number of countries have put a halt to business and social activities in an effort to sedate the spread of the COVID-19 pandemic. As a result, there have been lockdowns, reduced consumption, community closures, and the closure of businesses (Edomah and Ndulue, 2020). This pandemic, according to many economists, is a figurative “black swan” event, one that “significantly changes the political and economic environment through a surprising, unpredictable event of great significance and severe consequences (Becchetti et al., 2020; He et al., 2020; Liu et al., 2021a; Dyduch et al., 2021; Tadano et al., 2021). Disruption is a buzzword among technologists, who see this as an opportunity to introduce new technology or transform business models as a means of supporting commercial operations. Small, medium, and large businesses are “suffering from the effects of the coronavirus,” according to Tadano et al. (2021). Many businesses are expected to go bankrupt in 2020, setting a record for “mega bankruptcies (Hussain et al., 2021).” Then again, “things have changed, and the future is uncertain” (Zainal et al., 2022),” as previously stated. The high degree of unpredictability in the business environment, coupled with the high degree of malleability, necessitate a change management strategy that could include a total renewal.

The COVID-19 pandemic has impacted China’s economic sector, which has resulted in job terminations. Even so, those who have been laid off must continue living and starting a business, which leads to increased competition in the marketplace. Irrational and profit-oriented behavior is often the result of this condition (Chau et al., 2021; Iqbal et al., 2021a; Lau et al., 2021; Liu et al., 2021b; Liu Z. et al., 2021; Yu et al., 2021). The current COVID-19 pandemic situation necessitates a deeper investigation into the relationship between SMEs’ irrational behavior and economic morality (Coccia, 2020). Instead of relying on conventional economic theory, behavioral economics theory is needed to better understand this problem (Webb et al., 2020). We are trying to develop a model of the practical relationship between business ethics and irrationality and morality for small- and medium-sized enterprises (SMEs). This research will also assist as a basis for the creation of programs aimed at empowering small- and medium-sized enterprises (SMEs) to improve their economic mindset and behavior when managing their businesses.

The study of business ethics and irrationality has also increased as a result of this trend. Examples include the incorporation of the night market and COVID-19 pandemic activities, which are based on the inducements among sellers to increase income. The COVID-19 pandemic was a good example of how businesses’ rational consideration and self-concern motives promoted the communal by providing a wide choice of services and products in a normal situation rather than throughout the pandemic itself. As a result, researchers have largely focused on business ethics studies, ignoring research on the economic morality of SMEs actors related with irrational aspects in the context of behavioral economic theory (Astawa et al., 2021). To put it another way, in this perspective, morality is seen as an expression of concern for the well-being of others. As a result, behavioral economics rejects the idea that people are selfish because it conflicts with our experience as economic agents. Irrationality’s impact on and economic moral behavior is thought to be moderated by altruism, a mindset that places the interests of others above one’s own. According to some academics, altruism can be defined as the willingness to help and care others gladly, without regard to one’s own self-interest or benefit. Altruism is used as a mediator to study the relationship between economic morality and functional irrationality in SMEs (Davies et al., 2021).

It is argued by Saputra and Herlina (2021) that existing business ethics models are based on large corporations, and therefore do not apply to small- and medium-sized enterprises. Given the lack of research on Chinese SMEs’ ethical practices, this study aims to create an effective model for small- and medium-sized enterprises (SMEs) throughout COVID-19 in China, taking current conditions, problems, obstacles, and success factors into account. This could have significant implications for Chinese medium and small-sized enterprises (SMEs). SMEs actors and their customers are affected by the intensity of their relationship with this method. Offline marketing methods put SMEs in direct contact with customers (Qalati et al., 2021), whereas this is not the case with online marketing. The long-term viability of a business is heavily influenced by the ethical marketing practices employed by small- and medium-sized enterprises (SMEs). Small- and medium-sized businesses may not be concerned about ethics and customer service because they do not interact directly with consumers, which could lead to a lack of customer loyalty for their products (Castillo-manzano et al., 2021; Molinillo et al., 2021; Wu and Zhu, 2021). Offline advertising for small- and medium-sized enterprises (SMEs) has changed.

Theoretical Background and Hypothesis Development

Business Ethics and Business Resilience

Ethics, also known as “moral philosophy,” examines the meaning of a “good” life, happiness, and justice, as well as queries on how these things can be attained (Sánchez-Infante Hernández et al., 2020). Considering the moral implications of one’s personal and professional choices prompt reflection on one’s ideal society and one’s ideal set of rights and responsibilities (Syafrida et al., 2021). Individual honesty, integrity, and adherence to current business ethics and laws are critical for all Chinese managers and government officials in ethical conduct and moral development (Dudek and Śpiewak, 2022).

Entrepreneurs in developing countries need to be aware of ethical business practices in order to ensure the long-term viability of minor- and medium-sized enterprises (SMEs). According to, “business ethics is basically the study of morality and business standards of conduct.” Rašković (2021), on the other hand, claims that business ethics monitors the conduct and behavior of business holders, and supervisors are required by law to respect the human rights of their sponsors, in particular their staff and customers, as well as their local community and the environment, in order to help businesses remain resilient (Iqbal et al., 2021; Iqbal et al., 2019; Iqbal et al., 2021b; Irfan et al., 2022; Latif et al., 2021).

Morality has a long history dating back to the ancient Greeks and is still relevant today. Human life is inextricably linked to the questions of morality, both in terms of objectivity and relativity (Dwivedi et al., 2020). Adam Smith, a classical economist, argues that human economic behavior is motivated by a moral sentiment, even if it is driven by rationality and self-interest (Jun et al., 2022). Economic humans (homo economics) are assumed to be irrational in their pursuit of self-interest and disregard for the interests of others, according to conventional economics. The economy as a whole will not be able to achieve harmony and efficiency if each person acts this way. As it is such claims are tough to verify empirically because human monetary behavior considers ethics based on the tendency to prioritize the welfare of other individuals (Dwivedi et al., 2020).

According to Jun et al. (2022), a person’s financial morality might be defined as a mental state that motivates him or her to engage in economic behavior. As a result of this, economic actors must adhere to established institutions and fulfill their responsibilities while also demonstrating an imperative care about the well-being of others and the potential consequences of their actions on those around them (tolerance), as well as respecting equality while taking into account the surrounding community’s conditions, and upholding equal privileges as fiscal actors while upholding morality, social ethics, prosociality, and a priority on cooperation (commitment). End-of-the-century revelations about human motivations became the seed for a new paradigm in economics: behavioral economics. This new school of thought assumes that people are rational beings who seek out the greatest amount of pleasure and profit. According to Liu (2022), the concept of economic ethics encompasses not only business morals but also attitudes and behaviors in general, making it a good candidate for investigation from the perception of behavioral economics when looking at the issue of economic ethics.

Ethics in economics refers to how people think and act in relation to each other (Scarpellini et al., 2019). Moral economic action has its roots in the fact that people transact with one another over time, according to De Blasio et al. (2022). It seems that decent action can be developed through interactions with others, as expressed in this phrase. The formation of economic and moral action can take place in communities of all sizes, from a neighborhood to a nation. So Taskinsoy (2022) discloses that one feature of moral economic action is essential: adhering to the rules and regulations of the economy. Rather than fearing the consequences of committing immoral acts, it appears that humans reflect moral features in their fiscal decision-making and behavior, not only because of the desire to pay attention and care for others but also because of the fear of the consequences of committing immoral acts.

H1: Business ethics has a positive effect on sustainable business resilience.

Irrationality and Business Resilience

It has been widely accepted that human beings do not always act rationally and prioritize their own self-interests in order to maximize their own happiness and benefits. When people fear losing something they have already gained (loss aversion), overvaluing things they own (endowment effect), or being stuck on a favorite choice, they are more likely to be irrational than rational, according to Xu and Jia (2022). Humans are also more likely to seek confirmation of information that confirms their preferred choice compared to rational people who are only interested in the information that confirms their preferred choice (survivor bias).

In this study, Justin and Joy (2022) identified five types of illogical behavior, including loss aversion, the legacy effect, and group behavior. Consequently, when considering her or his action decisions in interrelating with others, these three irrational aspects frequently appear (Hossain et al., 2022). Damage aversion is closely linked to one’s association with other parties, in this case, the commercial actor’s relationship with small businesses. An unwillingness to invest in growing the company because of a fear of failure will certainly affect workers who have the chance to earn more money. According to these claims, SMEs’ altruism and economic morality can be influenced by their loss aversion attitudes (Raveh-Burstein, 2021).

The endowment effect is a mindset that encourages small- and medium-sized businesses (SMEs) to be reluctant to share their goods with others because they value them more than the market value or their objective price in addition to loss a version (Deng et al., 2022). As a result of this endowment effect, SMEs players tend to overestimate the quality and value of their goods compared to comparable and similar products. Customers will be forced to pay more than they would if they bought from another small business. A discount in caring attitudes toward others, as well as an increase in the morality of SMEs companies due to overvaluing the goods they produce, can be caused by the endowment effect (Khlystova et al., 2022).

An example of herd behavior, which is closely linked to attitudes and behaviors, is when SME actors draw conclusions based on what other people decide or do. There is some evidence to suggest that altruism increases as a person’s herd behavior tendency increases (Chen et al., 2021). An altruistic person is one who cares for others without regard to their own self-interest and -assist (Chen et al., 2021; de Morais et al., 2021; Li et al., 2022). Herd attitudes and behaviors are thought to have an optimistic impact on economic morality by virtue of considerations for tolerance and equality (Allal-Chérif et al., 2021). Herd behavior is defined by Zhao (2021) as having a talkative or follow-up element, but this element can actually happen since SMEs actors are encouraged to treat each other with respect and consideration. As a result, the subsequent hypothesis is planned:

H2: Loss aversion has a positive effect on sustainable business resilience.

H3: Endowment effect positively influences sustainable business resilience.

H4: Herd behavior has a positive effect on sustainable business resilience.

Altruism and Sustainable Business Resilience

Altruism, despite being a well-known philosophical concept, is not widely used in business. The capitalist ideals of profit maximization and economic efficiency are predominant in contemporary business life, and a selfless alarm for others does not fit in well (Saputra and Herlina, 2021). Corporate social responsibility (CSR) (Janani et al., 2022) and business ethics, on the other hand, have seen increasing attention in the business world and academia over the last few decades. From profit maximization to social responsibility, the part of businesses is shifting from one that is solely fixated on their bottom line. According to Yumei et al. (2021), taking on more ethical and social responsibilities can help a business gain the trust of its customers and investors (Carlini et al., 2021). Companies are expected to fulfill their ethical and social responsibilities, but they are not likely to work in an altruistic way. Is altruism possible in business? This is the question that this article aims to answer.

The concept of corporate philanthropy is used to discuss altruism in business. The studies on corporate charity are still very scarce, despite a recent increase in the discussion of businesses’ social and ethical responsibilities (D’Aprile and Talò, 2015). Corporation philanthropy is defined as “the charitable transfer of the firm’s resources at below market prices” by Bu et al. (2022). In this study, corporate philanthropy is defined as the voluntary distribution of a firm’s resources to doings that are not business-related and for which there are no clear communal prospects about how the organization should perform (Khan et al., 2021). Businesses and their employees can get involved in a variety of ways, whether it is through donations of goods or services, volunteer work, joint ventures with local government or other organizations, or any number of other means (Jang et al., 2022). Our research focuses on the idea that although corporate charity is often associated with the idea of caring for others, it cannot be understood as identical with the notion of altruism. It is possible that corporate philanthropy is motivated by altruism, but this is not a precondition for it to exist. Corporate philanthropy in this study, on the other hand, is viewed as business behavior with a diversity of potential motives, with altruism being one of them. Thus, the study’s hypothesis can be summarized as follows:

H5: Altruism has a positive effect on sustainable business resilience.

H6: Altruism mediates the impact of loss eversion and business resilience.

H7: Altruism mediates the impact of endowment and business resilience.

H8: Altruism mediates the impact of herd behavior and business resilience.

Organizational Image and Business Resilience

Philanthropy in the workplace is discussed using the term “corporate philanthropy.” There are still very few studies about corporate philanthropy, despite the recent rise in the discussion of businesses’ social and ethical obligations (Hui-Wen Chuah et al., 2022). As defined by Abdelmoety et al. (2022), “the charitable transfer of the firm’s resources at below market prices” is “corporate philanthropy.” Philanthropy is defined as the voluntary allocation of a firm’s resources to activities that are not business-related, and for which there are no clear social expectations about how the firm should operate (Huang et al., 2020). Participation by businesses and their employees can take many forms, including monetary contributions, goods or services, volunteer work, joint ventures with government agencies, and a host of other possibilities (Ari and Koc, 2021). To understand corporate charity, we must recognize that it is not the same as altruism. Altruism may be a driving force behind corporate charity, but it is not a requirement. On the other hand, in this research, corporate philanthropy is seen as business behavior with a variety of possible motives, one of which is altruism.

People’s actions and responses toward an organization are heavily influenced by its visual representations, making these images critical to the success or failure of an organization (Jiménez-Marín et al., 2021). For example, improved employer attractiveness, investor support, improved access to capital markets, and improved customer devotion can all be a result of a company’s positive public image (Muhammad, 2021). Both industry practitioners and academic scholars are interested in attracting and retaining top talents in their organizations, which is why this article focuses on the topic of employer attractiveness (Ratten and Thaichon, 2021). Extant literature has identified five organizational images that we came across while researching an organization’s attractiveness as a place of employment. These include the employer image, CSP image, financial performance image, product/service image, and corporate image. Thus, the study’s hypothesis can be summarized as follows:

H9: Sustainable business resilience has a positive effect on organizational image.

Method and Materials

Design and Data

Small business owners and managers in China took part in a survey that was conducted over the course of about 2 months (Sun et al., 2021). Using a deductive approach, the problems addressed in this study were first discovered through theoretical research, and then hypotheses were developed and tested in the field. According to predetermined criteria, research variables were operationalized in indicators that were used to prepare research instruments and produce quantified data in accordance with these indicators. Individuals were used, the data were analyzed, and the unit of analysis in this research was derived from the responses of each subject who took part in the research. This study can be categorized as a survey research project because of its scope and focus on a sample review. The data were collected from a sample of the general populace. This research was conducted as a cross-sectional study since it focused on a specific period of time. Proportional random sampling was used to draw samples.

Variable Measurement

An online questionnaire was created and distributed via email or via a mobile phone app, and the data were collected using this method. When creating the instrument, we looked at the empirical conditions faced by small- and medium-sized businesses (SMEs) in order to identify indicators for each variable. We used four gages developed by Lu et al. (2021) to measure loss aversion (LA) in our study (Figure 1). In order to gauge the endowment effect (EE), we adapted four indicators from Lu et al. (2021). Table 1 provides an in-depth breakdown of the variables.

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TABLE 1. Research instrument.

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FIGURE 1. Flow diagram.

Data Analysis

PLS-SEM was used to investigate the proposed model’s relationships and causes (Qalati et al., 2021). PLS can be used to examine the measured model and authenticate the causality of a structural model, according to experts. When used to empirically validate a non-normally distributed sample, PLS reduces the endogenous dimension’s residual variance Haldorai et al. (2022). Because it employs a bootstrap to test its hypotheses, SEM/PLS has a sufficient sample size for empirical validation (Ambalov, 2021). The smallest sample size needed to test this model empirically is ten times the number of hypotheses for the most common construct.

Results and Discussion

Demographic Findings

In this study, 47.1% of the participants were men, and 51.2% were women. Table 2 presents the demographicprofile of participants. All but a few of the attendees were married (66.3%). About 34.3% of the participants had graduated from high school, followed by 28.6% with an associate’s degree in their possession. People in their twenties and thirties make up the largest percentage of participants, accounting for 30.9% of the total (25.2%). The food and beverage sector accounts for 36.5% of participants, while the front office makes up the rest of the field (34.3%).

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TABLE 2. Demographic characteristics of the sample (n = 169).

Descriptive and Correlation Analyses

Table 3 displays the statistical data for the information, such as the average value, variance, and coefficient of determination. Similarity analysis was used to test the interconnectedness of factors. The assessment found a considerable relationship between the variables. The regression coefficient of variance explained was used to probe predictive relevance. Even as the square root of AVE is greater than just its connection with the other structures, the findings reinforce predictive relevance (Fornell and Larcker, 1981). A comparison of the AVE value systems with the maximum shared variance (MSV) values for each factor is another method for determining discriminant validity (Ahmad et al., 2020). Validity is achieved when the AVE value for a specific variable exceeds the MSV value for that variable alone. The AVE values for all variables are bigger than the MSV values, implying that this assumption is correct. Then, using AVE and item loadings, a convergent validity study was performed to see how closely the items were linked (Calisir et al., 2014). The result showed that the AVE values for every parameter surpassed 0.50, denoting that the predictor variable maintained more than 50% of their variance (see Table 4).

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TABLE 3. Descriptive statistics of the data.

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TABLE 4. Correlation and discriminant validity analyses.

Validity and Reliability of Measures

Items with reliability above 0.70 are shown in Table 5 (Alolayyan et al., 2022). In other words, all of the measurement items are accurate. Table 5 shows the convergent and discriminant validity. As a result, the data show that all items have a high degree of convergence and variance sharing. When measuring latent variables, the unity displays that the dimensions’ outer loadings have a lot in common (LV). The results of the discriminant validity test display that each aspect is different from the others. We can deduct from Table 5 that every sign has only one aspect. The table of cross-loadings indicates the indicators’ outer loadings which exceed all other aspects’ loadings. In order to evaluate discriminant validity more conservatively, the cross-loadings were taken into account as an indicator that is considered to be a fairly liberal criterion. The idea that a construct parts more variance with its linked pointers than with any other construct is the basis of the Fornell–Larcker criterion. Using Table 6, we can see that all extents of the model have been validated, as well as different constructs that vary from one another’s measures Fornell and Larcker (1981).

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TABLE 5. Measurement model results.

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TABLE 6. Fornell–Larcker criterion.

Common Method Bias

CMB could be caused by a survey instrument that is used by both independent and dependent entities. Harman’s single-factor analysis, as recommended by many researchers, is the best way to identify this problem (Irani and Kilic, 2022). We can conclude that there is no CMB error based on the results of this study, as the single factor only accounts for 37.83% of the total variance explained.

PLS-SEM Results

The excellence of the organizational model must first be evaluated as a pre-requisite to any structural model assessment. This can be evaluated using the model’s ability to predict the dependent LVs. Q2, path coefficients, and the effect size f2 can all be used to determine this.

The R2 is an extent of the model’s ability to predict outcomes in a given sample. It reveals how much of the observed variation can be attributed to endogenous factors. It has a value from 0 to 1, with a higher number representing greater accuracy. In contrast, a value of 0.75% is considered significant, 0.50% is considered moderate, and 0.25% is considered weak, respectively (Aguirre et al., 2021). The consequences of the structural model show a coefficient of determination of 0.413, which is acceptable for use in a prediction of moderate precision. Q2, which can be obtained using the blindfolding procedure in smart PLS software, is another method for predicting relevance. Once the model’s parameters have been estimated, it can use previously generated results to predict the omitted variables in accordance with those parameters. Instrumental value rises with decreasing error gap, and the model’s predictive accuracy improves with decreasing error gap. A value above zero is considered acceptable by previous researchers. There are two ways to get the values. There are two ways to approach this problem: one relies on cross-validated redundancy and the other on cross-validated communality. According to current research, however, redundancies are preferred (Agboola et al., 2021).

Figure 2 and Table 8 displays the path diagram of SEM and Table 7 illustrates the total variance explained. Three significance points were pondered, such as 1, 5, and 10%. Significance at 1% level (p ≤ 0.001) is shown by (***), significance at 5% level (p ≤ 0.01) is shown by (**), and significance at 10% level (p ≤ 0.05) is shown by (*). The path coefficients of the variables altruism, and business ethics, H1 (b = 0.35, p < 0.001) and H5 (b = 0.33, p < 0.001), respectively, indicate that altruism and business ethics have positive and significant impacts on business resilience. Thus, hypotheses 1 and 5 were accepted. On the other hand, the path coefficients of the mediating variables loss aversion, endowment effect, and herd behavior, H6 (b = 0.10, p < 0.01), H7 (b = 0.06, p < 0.01), and H8 (b = 0.12, p < 0.05), respectively. Irrationality among small- and medium-sized enterprises (SMEs) appears to have a favorable effect on business resilience. Business resilience has a favorable and significant impact on an organization’s image, according to the research. A 0.21% rise in the market’s perception of a company corresponds to a 1% rise in its resiliency. The structure and validity of hypotheses are illustrated in Table 6. The proposed model was also subjected to a variety of fitness tests to ensure that the data were suitable. Overall, all fit index values meet or exceed specified standards (as shown in Table 7). The results of the hypotheses are summarized in Table 8.

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FIGURE 2. Path diagram.

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TABLE 7. Total variance explained.

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TABLE 8. Results of hypotheses.

Endogeneity Testing

The primary purpose of this test is to assess the robustness of the research results (Winkelmann, 2008). Endogeneity bias may alter the maximum probability assessment, which is a serious obstacle to the suitability of the results. Using Stata software, the Heckman test was used to investigate endogeneity. Table 9 shows that our findings are consistent with those of the previous model, indicating that there is no endogeneity bias.

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TABLE 9. Endogeneity findings.

Discussion

According to this study, altruism, irrationality, and the morality of small- and medium-sized enterprises (SMEs) in China were examined in-depth. Two of the 11 hypotheses tested in this study were found to be incorrect: the consequence of herd behavior on altruism and the effect of loss aversion on fiscal morality. This helps explain why Chinese SMEs are not more likely to uphold the principles of economic morality because they are scared of facing losses relative to the rewards they receive for the welfares they obtain. Contrary to Cartwright’’s belief, this study shows that he was (Dias et al., 2022). Altruism has been shown to be unaffected by irrational behavior. Irrational behavior has nothing to do with caring and encouraging others to share with each other, as this shows. A similar conclusion was drawn by, Raymond et al. (2019); Zaverzhenets and Łobacz (2021); Younis and Elbanna (2021); Costa et al. (2020); and Le (2022).

This study also shows that altruism can be explained by endowment effects and loss aversion. They care about others, both in their workplace and in the community they serve as customers, because they are afraid of losing what is produced and overly appreciative of it. The endowment effect and herd behavior have also been shown to influence economic morality. In China, small- and medium-sized enterprises (SMEs) have a significant impact on fiscal morality because they place a high value on their products and tend to copy the behavior of others. Lu et al.’s (2021) assertion that the problem of economic morality is closely linked to one’s transactions with others is echoed by Yumei et al.’s (2021) rationale.

Tolerance, equality, and commitment are all taken into account when defining economic morality, which is why the results show that altruism has an impact on economic ethics (Hasan et al., 2021). People’s well-being and other people’s concerns are at the center of this view of morality. Because of this, it is only natural that altruism influences financial morality (Hussain et al., 2022). The findings of this study, which show that even unreasonable feelings have a positive impact on financial morality after being mediated by altruism, show how important it is for SMEs actors to have economic attitudes, morals, and behaviors. SMEs in China with a strong sense of social responsibility have been found to exhibit irrational loss aversion as a result of caring and encouragement to share. Altruism’s influence on the morality of SMEs performers can also be distinguished by the method of marketing used (online or offline). While Dai et al. (2021) do not openly state the distinction in the impact of altruism on fiscal morality, their thoughts on the rank of businesses for direct marketing are in line with this.

Conclusion

It was found that altruism in small- and medium-sized business (SMEs) actors mediated the positive effect of loss aversion, herd behavior, and endowment effect on economic morality, which was tested against 11 hypotheses. Loss aversion has been shown to have no impact on economic morality. Altruism has also been found to be unaffected by herd behavior. That the three kinds of unreasonable behaviors have a noteworthy positive effect on the ethics of SMEs actors through altruism was confirmed in this study. According to this study, altruism can also have a positive effect on the decency of SMEs performers. According to the findings of this study, more research and materials on altruism and fiscal morality are needed in economic education, particularly entrepreneurship education. A broader study of fiscal morality founded on the aspiration to care for and share with others is essential, not just for business ethics. Entrepreneurship education can also produce complete entrepreneurs who are successful in building businesses and have a deep distress for the well-being of their neighbors. Chinese economic policy is based on the family, so this fits in well. However, there are numerous restrictions to the findings in this study. There are hopes that the findings of this study will inspire further research into economic irrationality and morality, which will be conducted on an even larger scale.

Theoretical and Practical Implications

Theoretically, this study’s findings support evidence that small- and medium-sized businesses (SMEs) performers are not fully encouraged to increase profits as expected by conventional financial thinking. Small- and medium-sized businesses (SMEs) have a moral compass that grows as they become more aware of the existence of others. The morality of SMEs actors has been shown to be influenced by two economically irrational factors that do not straight touch fiscal morality. For financial education, particularly in free enterprise education, the findings of this study have practical implications for cultivating altruism toward students so that they can consider ethics in their business and monetary performance when they become entrepreneurs. Altruism and economic morality are critical to a company’s long-term viability, and the government, which has so far focused on business skills training, must develop empowerment programs that focus on cultivating these values.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding author.

Author Contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abdelmoety, Z. H., Aboul-Dahab, S., and Agag, G. (2022). A Cross Cultural Investigation of Retailers Commitment to CSR and Customer Citizenship Behaviour: The Role of Ethical Standard and Value Relevance. J. Retailing Consumer Serv. 64, 102796. doi:10.1016/J.JRETCONSER.2021.102796

CrossRef Full Text | Google Scholar

Agboola, M. O., Bekun, F. V., and Balsalobre-Lorente, D. (2021). Implications of Social Isolation in Combating COVID-19 Outbreak in Kingdom of Saudi Arabia: Its Consequences on the Carbon Emissions Reduction. Sustainability 13, 9476. doi:10.3390/SU13169476

CrossRef Full Text | Google Scholar

Ahmad, M., Iram, K., and Jabeen, G. (2020). Perception-based Influence Factors of Intention to Adopt COVID-19 Epidemic Prevention in China. Environ. Res. 190, 109995. doi:10.1016/j.envres.2020.109995

PubMed Abstract | CrossRef Full Text | Google Scholar

Ai, J., Gursoy, D., Liu, Y., and Lv, X. (2022). Effects of Offering Incentives for Reviews on Trust: Role of Review Quality and Incentive Source. Int. J. Hospitality Manag. 100, 103101. doi:10.1016/J.IJHM.2021.103101

CrossRef Full Text | Google Scholar

Allal-Chérif, O., Guijarro-García, M., Ballester-Miquel, J. C., and Carrilero-Castillo, A. (2021). Being an Ethical Leader during the Apocalypse: Lessons from the Walking Dead to Face the COVID-19 Crisis. J. Business Res. 133, 354–364. doi:10.1016/J.JBUSRES.2021.05.008

CrossRef Full Text | Google Scholar

Alolayyan, M. N., Alyahya, M. S., Hijazi, H., and Ajayneh, F. J. (2022). The Development and Validation Instrument for the Cognitive Medical Errors: Structural Equation Modeling Approach. Qual. Quant. doi:10.1007/s11135-021-01285-6

CrossRef Full Text | Google Scholar

Ambalov, I. A. (2021). Decomposition of Perceived Usefulness: A Theoretical Perspective and Empirical Test. Tech. Soc. 64, 101520. doi:10.1016/j.techsoc.2020.101520

CrossRef Full Text | Google Scholar

Andersson, M., Moen, O., and Brett, P. O. (2020). The Organizational Climate for Psychological Safety: Associations with SMEs’ Innovation Capabilities and Innovation Performance. J. Eng. Tech. Manag. 55, 101554. doi:10.1016/j.jengtecman.2020.101554

CrossRef Full Text | Google Scholar

Ari, I., and Koc, M. (2021). Towards Sustainable Financing Models: A Proof-Of-Concept for a Waqf-Based Alternative Financing Model for Renewable Energy Investments. Borsa Istanbul Rev. 21, S46–S56. doi:10.1016/j.bir.2021.03.007

CrossRef Full Text | Google Scholar

Astawa, I. P., Astara, I. W. W., Mudana, I. G., and Dwiatmadja, C. (2021). Managing Sustainable Microfinance Institutions in the Covid-19 Situation through Revitalizing Balinese Cultural Identity. Qas 22, 131–137. doi:10.47750/qas/22.184.17

CrossRef Full Text | Google Scholar

Becchetti, L., Conzo, G., Conzo, P., and Salustri, F. (2020). Understanding the Heterogeneity of Adverse COVID-19 Outcomes: the Role of Poor Quality of Air and Lockdown Decisions. SSRN J. 305, 114316. doi:10.2139/ssrn.3572548

CrossRef Full Text | Google Scholar

Bhandari, K. (2019). Exploitation of Internet by Millennials Ensuing Covid Pandemic. Acta InformMalaysia 3, 13–15. doi:10.26480/aim.01.2021.25.30

CrossRef Full Text | Google Scholar

Bu, X., Cherian, J., Han, H., Comite, U., Hernández-Perlines, F., and Ariza-Montes, A. (2022). Proposing Employee Level CSR as an Enabler for Economic Performance: The Role of Work Engagement and Quality of Work-Life. Sustainability 14, 1354. doi:10.3390/SU14031354

CrossRef Full Text | Google Scholar

Burgos, D., and Ivanov, D. (2021). Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions. Transportation Res. E: Logistics Transportation Rev. 152, 102412. doi:10.1016/j.tre.2021.102412

CrossRef Full Text | Google Scholar

Calisir, F., Altin Gumussoy, C., Bayraktaroglu, A. E., and Karaali, D. (2014). Predicting the Intention to Use a Web-Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model. Hum. Factors Man. 24, 515–531. doi:10.1002/HFM.20548

CrossRef Full Text | Google Scholar

Carlini, J., Pavlidis, A., Thomson, A., and Morrison, C. (2021). Delivering on Social Good – Corporate Social Responsibility and Professional Sport: a Systematic Quantitative Literature Review. J. Strateg. Marketing 00, 1–14. doi:10.1080/0965254X.2021.1881147

CrossRef Full Text | Google Scholar

Castillo-manzano, J. I., Castro-Nuño, M., and Pozo-barajas, R. (2021). Addicted to Cruises? Key Drivers of Cruise Ship Loyalty Behavior through an E-WOM Approach. Ijchm 34, 361–381. doi:10.1108/IJCHM-05-2021-0642

CrossRef Full Text | Google Scholar

Chau, K.-Y., Tang, Y. M., Liu, X., Ip, Y.-K., and Tao, Y. (2021). Investigation of Critical success Factors for Improving Supply Chain Quality Management in Manufacturing. Enterprise Inf. Syst. 15, 1418–1437. doi:10.1080/17517575.2021.1880642

CrossRef Full Text | Google Scholar

Chen, X., Huang, C., Wang, H., Wang, W., Ni, X., and Li, Y. (2021). Negative Emotion Arousal and Altruism Promoting of Online Public Stigmatization on COVID-19 Pandemic. Front. Psychol. 12, 652140. doi:10.3389/FPSYG.2021.652140/FULL

PubMed Abstract | CrossRef Full Text | Google Scholar

Coccia, M. (2020). Factors Determining the Diffusion of COVID-19 and Suggested Strategy to Prevent Future Accelerated Viral Infectivity Similar to COVID. Sci. Total Environ. 729, 138474. doi:10.1016/j.scitotenv.2020.138474

PubMed Abstract | CrossRef Full Text | Google Scholar

Costa, E., Soares, A. L., and de Sousa, J. P. (2020). Industrial Business Associations Improving the Internationalisation of SMEs with Digital Platforms: A Design Science Research Approach. Int. J. Inf. Manag. 53, 102070. doi:10.1016/j.ijinfomgt.2020.102070

CrossRef Full Text | Google Scholar

Dai, R., Feng, H., Hu, J., Jin, Q., Li, H., Wang, R., et al. (2021). The Impact of COVID-19 on Small and Medium-Sized Enterprises (SMEs): Evidence from Two-Wave Phone Surveys in China. China Econ. Rev. 67, 101607. doi:10.1016/j.chieco.2021.101607

CrossRef Full Text | Google Scholar

Dalla-Pria, L., and Rodríguez-de-Dios, I. (2022). CSR Communication on Social media: the Impact of Source and Framing on Message Credibility, Corporate Reputation and WOM. Corp. Commun. doi:10.1108/CCIJ-09-2021-0097/FULL/PDF

CrossRef Full Text | Google Scholar

D’Aprile, G., and Talò, C. (2015). How Corporate Social Responsibility Influences Organizational Commitment: a Psychosocial Process Mediated by Organizational Sense of Community. Employ Respons Rights J. 27, 241–269. doi:10.1007/s10672-015-9265-6

CrossRef Full Text | Google Scholar

Davies, S., White, G. R. T., Samuel, A., and Martin, H. (2021). Dialectics and Dilemmas Arising from Covid-19 Immunity Testing: Presenting a Workforce Management Paradox. Jwam 13, 227–240. doi:10.1108/JWAM-11-2020-0052

CrossRef Full Text | Google Scholar

De Blasio, V., Pavone, P., and Migliaccio, G. (2022). Cosmetics Companies: Income Developments in Time of Crisis. Jsbed. doi:10.1108/JSBED-11-2019-0369

CrossRef Full Text | Google Scholar

de Morais, L. H. L., Pinto, D. C., and Cruz-Jesus, F. (2021). Circular Economy Engagement: Altruism, Status, and Cultural Orientation as Drivers for Sustainable Consumption. Sustainable Prod. Consumption 27, 523–533. doi:10.1016/j.spc.2021.01.019

CrossRef Full Text | Google Scholar

Deng, L., Wang, S., Wen, Y., and Li, Y. (2022). Incorporating ‘Mortgage-Loan’ Contracts into an Agricultural Supply Chain Model under Stochastic Output. Math 10, 85. doi:10.3390/MATH10010085

CrossRef Full Text | Google Scholar

Dias, Á. L., Cunha, I., Pereira, L., Costa, R. L., and Gonçalves, R. (2022). Revisiting Small- and Medium-Sized Enterprises’ Innovation and Resilience during COVID-19: The Tourism Sector. J. Open Innov. Technol. Mark. Complex 8, 11. doi:10.3390/JOITMC8010011

CrossRef Full Text | Google Scholar

Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., et al. (2020). Review and Analysis of Current Responses to COVID-19 in Indonesia: Period of January to March 2020. Prog. Disaster Sci. 6, 100091. doi:10.1016/J.PDISAS.2020.100091

PubMed Abstract | CrossRef Full Text | Google Scholar

Dudek, M., and Śpiewak, R. (2022). Effects of the COVID-19 Pandemic on Sustainable Food Systems: Lessons Learned for Public Policies? the Case of Poland. Agriculture 12, 61. doi:10.3390/agriculture12010061

CrossRef Full Text | Google Scholar

Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., et al. (2020). Impact of COVID-19 Pandemic on Information Management Research and Practice: Transforming Education, Work and Life. Int. J. Inf. Manag. 55, 102211. doi:10.1016/J.IJINFOMGT.2020.102211

CrossRef Full Text | Google Scholar

Dyduch, W., Chudziński, P., Cyfert, S., and Zastempowski, M. (2021). Dynamic Capabilities, Value Creation and Value Capture: Evidence from SMEs under Covid-19 Lockdown in Poland. PLoS One 16, e0252423. doi:10.1371/JOURNAL.PONE.0252423

PubMed Abstract | CrossRef Full Text | Google Scholar

Edomah, N., and Ndulue, G. (2020). Energy Transition in a Lockdown: An Analysis of the Impact of COVID-19 on Changes in Electricity Demand in Lagos Nigeria. Glob. Transitions 2, 127–137. doi:10.1016/j.glt.2020.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Fornell, C., and Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. J. Marketing Res. 18, 382. doi:10.2307/3150980

CrossRef Full Text | Google Scholar

Gao, H., Shi, D., and Zhao, B. (2021). Does Good luck Make People Overconfident? Evidence from a Natural experiment in the Stock Market. J. Corporate Finance 68, 101933. doi:10.1016/j.jcorpfin.2021.101933

CrossRef Full Text | Google Scholar

Haldorai, K., Kim, W. G., and Garcia, R. L. F. (2022). Top Management green Commitment and green Intellectual Capital as Enablers of Hotel Environmental Performance: The Mediating Role of green Human Resource Management. Tourism Manag. 88, 104431. doi:10.1016/j.tourman.2021.104431

CrossRef Full Text | Google Scholar

Hasan, I., Jackowicz, K., Jagiełło, R., Kowalewski, O., and Kozłowski, Ł. (2021). Local banks as Difficult-To-Replace SME Lenders: Evidence from Bank Corrective Programs. J. Banking Finance 123 106029. doi:10.1016/j.jbankfin.2020.106029

CrossRef Full Text | Google Scholar

He, G., Pan, Y., and Tanaka, T. (2020). COVID-19, City Lockdowns, and Air Pollution: Evidence from China. medRxiv. doi:10.1101/2020.03.29.20046649

CrossRef Full Text | Google Scholar

Hossain, S. R., Melles, G. B., and Bailey, A. (2022), Designing Sustainable Livelihoods for Informal Markets in Dhaka. 13–36.doi:10.1007/978-981-16-8452-4_2

CrossRef Full Text | Google Scholar

Huang, C.-C., Jin, H., Zhang, J., Zheng, Q., Chen, Y., Cheung, S., et al. (2020). The Effects of an Innovative E-Commerce Poverty Alleviation Platform on Chinese Rural Laborer Skills Development and Family Well-Being. Child. Youth Serv. Rev. 116, 105189. doi:10.1016/j.childyouth.2020.105189

CrossRef Full Text | Google Scholar

Hui-Wen Chuah, S., Sujanto, R. Y., Sulistiawan, J., and Cheng-Xi Aw, E. E. (2022). What Is Holding Customers Back? Assessing the Moderating Roles of Personal and Social Norms on CSR’S Routes to Airbnb Repurchase Intention in the COVID-19 Era. J. Hospitality Tourism Manag. 50, 67–82. doi:10.1016/J.JHTM.2021.12.007

CrossRef Full Text | Google Scholar

Hussain, A., Akbar, M., Shahzad, A., Poulova, P., Akbar, A., and Hassan, R. (2022). E-commerce and SME Performance: The Moderating Influence of Entrepreneurial Competencies. Administrative Sci. 12, 13. doi:10.3390/ADMSCI12010013

CrossRef Full Text | Google Scholar

Hussain, S., Xuetong, W., Hussain, T., Khoja, A. H., and Zia, M. Z. (2021). Assessing the Impact of COVID-19 and Safety Parameters on Energy Project Performance with an Analytical Hierarchy Process. Utilities Policy 70, 101210. doi:10.1016/j.jup.2021.101210

CrossRef Full Text | Google Scholar

Iqbal, S., Bilal, A. R., Nurunnabi, M., Iqbal, W., Alfakhri, Y., and Iqbal, N. (2021). It Is Time to Control the Worst: Testing COVID-19 Outbreak, Energy Consumption and CO2 Emission. Environ. Sci. Pollut. Res. 28, 19008–19020. doi:10.1007/s11356-020-11462-z

CrossRef Full Text | Google Scholar

Iqbal, W., Tang, Y. M., Chau, K. Y., Irfan, M., and Mohsin, M. (2021a). Nexus between Air Pollution and NCOV-2019 in China: Application of Negative Binomial Regression Analysis. Process Saf. Environ. Prot. 150, 557–565. doi:10.1016/j.psep.2021.04.039

CrossRef Full Text | Google Scholar

Iqbal, W., Tang, Y. M., Lijun, M., Chau, K. Y., Xuan, W., and Fatima, A. (2021b). Energy Policy Paradox on Environmental Performance: The Moderating Role of Renewable Energy Patents. J. Environ. Manage. 297, 113230. doi:10.1016/j.jenvman.2021.113230

PubMed Abstract | CrossRef Full Text | Google Scholar

Iqbal, W., Yumei, H., Abbas, Q., Hafeez, M., Mohsin, M., Fatima, A., et al. (2019). Assessment of Wind Energy Potential for the Production of Renewable Hydrogen in Sindh Province of Pakistan. Processes 7, 196. doi:10.3390/pr7040196

CrossRef Full Text | Google Scholar

Irani, F., and Kilic, H. (2022). An Assessment of Implementing green HRM Practices on Environmental Performance: The Moderating Role of green Process Innovation. Jght 1, 16–30. doi:10.5038/2771-5957.1.1.1001

CrossRef Full Text | Google Scholar

Irfan, M., Shahid, A. L., Ahmad, M., Iqbal, W., Elavarasan, R. M., Ren, S., et al. (2022). Assessment of Public Intention to Get Vaccination against COVID ‐19: Evidence from a Developing Country. Eval. Clin. Pract. 28, 63–73. doi:10.1111/jep.13611

CrossRef Full Text | Google Scholar

Janani, S., Christopher, R. M., Nikolov, A. N., and Wiles, M. A. (2022). Marketing Experience of CEOs and Corporate Social Performance. J. Acad. Mark. Sci. 4. doi:10.1007/s11747-021-00824-9

CrossRef Full Text | Google Scholar

Jang, S., Kim, B., and Lee, S. (2022). Impact of Corporate Social (Ir)responsibility on Volume and Valence of Online Employee Reviews: Evidence from the Tourism and Hospitality Industry. Tourism Manag. 91, 104501. doi:10.1016/J.TOURMAN.2022.104501

CrossRef Full Text | Google Scholar

Jiménez-Marín, G., Elías Zambrano, R., Galiano-Coronil, A., and Ravina-Ripoll, R. (2021). Business and Energy Efficiency in the Age of Industry 4.0: The Hulten, Broweus and Van Dijk Sensory Marketing Model Applied to Spanish Textile Stores during the COVID-19 Crisis. Energies 14, 1966. doi:10.3390/EN14071966

CrossRef Full Text | Google Scholar

Jun, M., Ariyesti, F. R., Ali, S., and Xiaobao, P. (2022). The Effect of Effectuation and Causation Approach on Entrepreneurial Orientation in the Presence of Leader Dominance and Self-Efficacy. J. Entrep. Emerg. Econ. doi:10.1108/JEEE-07-2021-0286/FULL/PDF

CrossRef Full Text | Google Scholar

Justin, M. A, E., and Joy, M. M. (2022). Managing the Most Important Asset: a Twenty Year Review on the Performance Management Literature. J. Manag. Hist. doi:10.1108/JMH-04-2021-0023/FULL/PDF

CrossRef Full Text | Google Scholar

Khan, S. A. R., Yu, Z., and Umar, M. (2021). How Environmental Awareness and Corporate Social Responsibility Practices Benefit the enterprise? an Empirical Study in the Context of Emerging Economy. Meq 32, 863–885. doi:10.1108/MEQ-08-2020-0178

CrossRef Full Text | Google Scholar

Khlystova, O., Kalyuzhnova, Y., and Belitski, M. (2022). The Impact of the COVID-19 Pandemic on the Creative Industries: A Literature Review and Future Research Agenda. J. Business Res. 139, 1192–1210. doi:10.1016/J.JBUSRES.2021.09.062

CrossRef Full Text | Google Scholar

Kurniawati, E., Idris, I., Handayati, P., and Osman, S. (2021). Digital Transformation of MSMEs in Indonesia during the Pandemic. Jesi 9, 316–331. doi:10.9770/JESI.2021.9.2(2110.9770/jesi.2021.9.2(21)

CrossRef Full Text | Google Scholar

Latif, Y., Shunqi, G., Bashir, S., Iqbal, W., Ali, S., and Ramzan, M. (2021). COVID-19 and Stock Exchange Return Variation: Empirical Evidences from Econometric Estimation. Environ. Sci. Pollut. Res. 28, 60019–60031. doi:10.1007/s11356-021-14792-8

CrossRef Full Text | Google Scholar

Lau, Y.-y., Tang, Y. M., Chau, K. Y., Vyas, L., Sandoval-Hernandez, A., and Wong, S. (2021). COVID-19 Crisis: Exploring Community of Inquiry in Online Learning for Sub-degree Students. Front. Psychol. 12, 1–14. doi:10.3389/fpsyg.2021.679197

CrossRef Full Text | Google Scholar

Le, T. T. (2022). Corporate Social Responsibility and SMEs’ Performance: Mediating Role of Corporate Image, Corporate Reputation and Customer Loyalty. Int. J. Emerg. Mark. doi:10.1108/IJOEM-07-2021-1164/FULL/PDF

CrossRef Full Text | Google Scholar

Li, J. (2020). The Way to Improve the Risk Management and Control Ability of Small-Medium Port Enterprises. J. Coastal Res. 103, 213–216. doi:10.2112/SI103-046.1

CrossRef Full Text | Google Scholar

Li, S., Xiong, M., Wang, Y., and Zhang, M. (2022). How Does Product-Celebrity Congruence and Content Sponsorship Affect Perceived Altruism Among Consumers? Evidence from Factorial Experiments. Resour. Conservation Recycling 178, 106062. doi:10.1016/J.RESCONREC.2021.106062

CrossRef Full Text | Google Scholar

Liu, C. (2022). Risk Prediction of Digital Transformation of Manufacturing Supply Chain Based on Principal Component Analysis and Backpropagation Artificial Neural Network. Alexandria Eng. J. 61, 775–784. doi:10.1016/J.AEJ.2021.06.010

CrossRef Full Text | Google Scholar

Liu, H., Tang, Y. M., Iqbal, W., and Raza, H. (2021b). Assessing the Role of Energy Finance, green Policies, and Investment towards green Economic Recovery. Environ. Sci. Pollut. Res. 1, 1–14. doi:10.1007/S11356-021-17160-8/TABLES/9

CrossRef Full Text | Google Scholar

Liu, H., Liu, W., Yoganathan, V., and Osburg, V.-S., (2021a). COVID-19 Information Overload and Generation Z’s Social media Discontinuance Intention during the Pandemic Lockdown. Technol. Forecast. Soc. Change 166 120600. doi:10.1016/j.techfore.2021.120600

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, Z., Tang, Y. M., Chau, K. Y., Chien, F., Iqbal, W., and Sadiq, M. (2021c). Incorporating Strategic Petroleum reserve and Welfare Losses: A Way Forward for the Policy Development of Crude Oil Resources in South Asia. Resour. Pol. 74, 102309. doi:10.1016/j.resourpol.2021.102309

CrossRef Full Text | Google Scholar

Lu, L., Peng, J., Wu, J., and Lu, Y. (2021). Perceived Impact of the Covid-19 Crisis on SMEs in Different Industry Sectors: Evidence from Sichuan, China. Int. J. Disaster Risk Reduction 55 102085. doi:10.1016/j.ijdrr.2021.102085

CrossRef Full Text | Google Scholar

Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., and Liébana-Cabanillas, F. (2021). Social Commerce Website Design, Perceived Value and Loyalty Behavior Intentions: The Moderating Roles of Gender, Age and Frequency of Use. J. Retailing Consumer Serv. 63 102404. doi:10.1016/j.jretconser.2020.102404

CrossRef Full Text | Google Scholar

Muhammad, F. (2021). ENFORCING OMNIBUS LAW: FORMALIZING MICRO, SMALL, AND MEDIUM ENTERPRISES IN INDONESIA USING BEHAVIOURAL SCIENCE. Indones. L. J. 14, 95–118. doi:10.33331/ILJ.V14I2.70

CrossRef Full Text | Google Scholar

Piccarozzi, M., Silvestri, C., and Morganti, P. (2021). COVID-19 in Management Studies: A Systematic Literature Review. Sustainability 13, 3791. doi:10.3390/SU13073791

CrossRef Full Text | Google Scholar

Qalati, S. A., Vela, E. G., Li, W., Dakhan, S. A., Thuy, T. T. H., and Merani, S. H. (2021). Effects of Perceived Service Quality, Website Quality, and Reputation on purchase Intention: The Mediating and Moderating Roles of Trust and Perceived Risk in Online Shopping. Cogent Business Manag. 8, 1869363. doi:10.1080/23311975.2020.1869363

CrossRef Full Text | Google Scholar

Rašković, M. (2021). International Business Policymaking for a “Wicked” World. J. Int. Bus. Pol., 1–10. doi:10.1057/S42214-021-00113-W/TABLES/2

CrossRef Full Text | Google Scholar

Ratten, V., and Thaichon, P. (2021). COVID-19, Technology and Marketing. Technol. Mark. 1, 1–20. doi:10.1007/978-981-16-1442-2_1

CrossRef Full Text | Google Scholar

Raymond, L., Bergeron, F., Croteau, A.-M., and Uwizeyemungu, S. (2019). Determinants and Outcomes of IT Governance in Manufacturing SMEs: A Strategic IT Management Perspective. Int. J. Account. Inf. Syst. 35 100422. doi:10.1016/j.accinf.2019.07.001

CrossRef Full Text | Google Scholar

Sánchez-Infante Hernández, J. P., Yañez-Araque, B., and Moreno-García, J. (2020). Moderating Effect of Firm Size on the Influence of Corporate Social Responsibility in the Economic Performance of Micro-, Small- and Medium-Sized Enterprises. Technol. Forecast. Soc. Change 151, 119774. doi:10.1016/j.techfore.2019.119774

CrossRef Full Text | Google Scholar

Saputra, N., and Herlina, M. G. (2021). Double-Sided Perspective of Business Resilience: Leading SME Rationally and Irrationally during COVID-19. J. Mgt. Mkt. Rev. 6, 125–136. doi:10.35609/jmmr.2021.6.2(4)

CrossRef Full Text | Google Scholar

Scarpellini, S., Alexia Sanz Hernández, M., Moneva, J. M., Portillo-Tarragona, P., and Rodríguez, M. E. L., (2019). Measurement of Spatial Socioeconomic Impact of Energy Poverty. Energy Policy 124 320–331. doi:10.1016/j.enpol.2018.10.011

CrossRef Full Text | Google Scholar

Shen, B. (2020). Construction of Performance Evaluation System of Human Resource Management in Port Foreign Trade Enterprises. J. Coastal Res. 103, 217–221. doi:10.2112/SI103-047.1

CrossRef Full Text | Google Scholar

Solomon, G. O. (2021). Perceptions of Students on the Use of Telegram during the Covid-19 Pandemic. Acta Inform. Malaysia 5, 21–24. doi:10.26480/aim.01.2021.21.24

CrossRef Full Text | Google Scholar

Sun, Y., Bao, Q., and Lu, Z. (2021). Coronavirus (Covid-19) Outbreak, Investor Sentiment, and Medical Portfolio: Evidence from China, Hong Kong, Korea, Japan, and U.S. Pacific-Basin Finance J. 65, 101463. doi:10.1016/J.PACFIN.2020.101463

CrossRef Full Text | Google Scholar

Swainson, L., and Mahanty, S. (2018). Green Economy Meets Political Economy: Lessons from the “Aceh Green” Initiative, Indonesia. Glob. Environ. Change 53, 286–295. doi:10.1016/j.gloenvcha.2018.10.009

CrossRef Full Text | Google Scholar

Syafrida, H., Saputra, N., and Sari, R. (2021). Leveraging Business Flexibility : Does it Impact on Business Resilience for Dealing with Covid-19 Crisis. Elem. Educ. Online 20, 684–694. doi:10.17051/ilkonline.2021.04.72

CrossRef Full Text | Google Scholar

Tadano, Y. S., Potgieter-Vermaak, S., Kachba, Y. R., Chiroli, D. M. G., Casacio, L., Santos-Silva, J. C., et al. (2021). Dynamic Model to Predict the Association between Air Quality, COVID-19 Cases, and Level of Lockdown. Environ. Pollut. 268, 115920. doi:10.1016/j.envpol.2020.115920

PubMed Abstract | CrossRef Full Text | Google Scholar

Taskinsoy, J. (2022). Stress Testing Financial Systems: Macro and Micro Stress Tests, Basel Standards and Value-At-Risk as Financial Stability Measures. SSRN J. doi:10.2139/SSRN.4032869

CrossRef Full Text | Google Scholar

Vásquez, J., Aguirre, S., Puertas, E., Bruno, G., Priarone, P. C., and Settineri, L. (2021). A Sustainability Maturity Model for Micro, Small and Medium-Sized Enterprises (MSMEs) Based on a Data Analytics Evaluation Approach. J. Clean. Prod. 311, 127692. doi:10.1016/j.jclepro.2021.127692

CrossRef Full Text | Google Scholar

Webb, A., McQuaid, R., and Rand, S. (2020). Employment in the Informal Economy: Implications of the COVID-19 Pandemic. Ijssp 40, 1005–1019. doi:10.1108/IJSSP-08-2020-0371/FULL/PDF

CrossRef Full Text | Google Scholar

Winkelmann, R. (2008). Econometric Analysis of Count Data, Econometric Analysis of Count Data. Springer Berlin Heidelberg.

Google Scholar

Wu, Y., and Zhu, W. (2021). The Role of CSR Engagement in Customer-Company Identification and Behavioral Intention during the COVID-19 Pandemic. Front. Psychol. 12, 3171. doi:10.3389/fpsyg.2021.721410

CrossRef Full Text | Google Scholar

Xu, Z., and Jia, H. (2022). The Influence of COVID-19 on Entrepreneur’s Psychological Well-Being. Front. Psychol. 12, 1–11. doi:10.3389/fpsyg.2021.823542

CrossRef Full Text | Google Scholar

Younis, H., and Elbanna, S. (2022). How Do SMEs Decide on International Market Entry? an Empirical Examination in the Middle East. J. Int. Manag. 28 100902. doi:10.1016/j.intman.2021.100902

CrossRef Full Text | Google Scholar

Yu, J., Tang, Y. M., Chau, K. Y., Nazar, R., Ali, S., and Iqbal, W. (2022). Role of Solar-Based Renewable Energy in Mitigating CO2 Emissions: Evidence from Quantile-On-Quantile Estimation. Renew. Energ. 182, 216–226. doi:10.1016/j.renene.2021.10.002

CrossRef Full Text | Google Scholar

Yumei, H., Iqbal, W., Nurunnabi, M., Abbas, M., Jingde, W., and Chaudhry, I. S. (2021). Nexus between Corporate Social Responsibility and Firm’s Perceived Performance: Evidence from SME Sector of Developing Economies. Environ. Sci. Pollut. Res. 28, 2132–2145. doi:10.1007/s11356-020-10415-w

CrossRef Full Text | Google Scholar

Zainal, M., Bani-Mustafa, A., Alameen, M., Toglaw, S., and Al Mazari, A. (2022). Economic Anxiety and the Performance of SMEs during COVID-19: A Cross-National Study in Kuwait. Sustainability 14, 1112. doi:10.3390/SU14031112

CrossRef Full Text | Google Scholar

Zaverzhenets, M., and Łobacz, K. (2021). Digitalising and Visualising Innovation Process: Comparative Analysis of Digital Tools Supporting Innovation Process in SMEs. Proced. Comp. Sci. 192 3805–3814. doi:10.1016/j.procs.2021.09.155

CrossRef Full Text | Google Scholar

Zhao, J. (2021). Reimagining Corporate Social Responsibility in the Era of COVID-19: Embedding Resilience and Promoting Corporate Social Competence. Sustainability 13, 6548. doi:10.3390/SU13126548

CrossRef Full Text | Google Scholar

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