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The purpose of this present work is to investigate how different parameters of the blast cleaning process affect properties and quality of brass parts surface. It aims to study the following process variables: particle abrasive shape: (spherical (S) and angular (G) shot), particle abrasive size (S170, G40 and G50) and the impact velocity (40 m/s, 60 m/s and 80 m/s).

An experimental approach based on three testing methods is used to quantify the analysis of particulate contaminants on substrates surfaces. These methods are: SEM, BSEM and EDXA plots from SEM imaging.

The results obtained clearly show that the particle embedment decreases with decreasing of the size of angular abrasive. An increase in the embedment could be noted as impact velocity increased. It was also found that the angular abrasives have delivered a contamination level higher than that delivered by spherical abrasives. Furthermore, it was demonstrated that the abrasive debris nature embedded in the treated surfaces is the iron. The coupling of this debris with the base metal (copper) in the presence of wetland causes an electrochemical corrosion. Then, if the contamination level decreases, the corrosion rate in treated brass parts by steel shots decreases also.

Search in the case of blast cleaning for the brass parts by steel shots has not been done previously. Using the spherical shape of the abrasive projected with a moderate impact velocity will be a solution in this case.

This paper aims to reveal how different types of events and top management teams' (TMTs’) cognitive frames affect the generation of breakthrough innovations.

Drawing on the event system theory and upper echelon theory, this study chose a Chinese manufacturing enterprise as the case firm and conducted an exploratory single-case study to unpack how breakthrough innovation generates over time.

By conducting the in-depth case analysis, the study revealed that firms do not produce breakthrough innovation in the catch-up stage and parallel-running stage but achieve it in the leading stage. It also indicated that when facing proactive events in the catch-up stage, TMTs often adopt a contracted lens, being manifested as consistency orientation, less elastic organizational identity and narrower competitive boundaries. In addition, they tend to adopt a contracted lens when facing reactive and proactive events in the parallel-running stage. In the face of reactive and proactive events in the leading stage, they are more inclined to adopt an expanded lens, being manifested as a coexistence orientation, more elastic organizational identity and wider competitive boundaries.

First, by untangling how TMT's cognitive frame functions in breakthrough innovations, this paper provides a micro-foundation for producing breakthrough innovations and deepens the understanding of upper echelon theory by considering the cognitive dimension of TMTs. Second, by teasing out several typical events experienced by the firm, this paper is the first attempt to reveal how events affect the generation of breakthrough innovation. Third, the work extends the application of the event system theory in technological innovation. It also provides insightful implications for promoting breakthrough innovations by considering the role of proactive and reactive events a firm experiences and TMT's perceptions.

Empirical evidence shows that banking development has a significant impact on macro-level economic growth through the finance-growth nexus and also highlights the prominent effect of development on local economy and household welfare, particularly in developing countries with restricted access to financial systems. The authors investigated the role of local banking development in affecting household welfare in Thailand which is a modest degree of financial access compare to other countries. The authors focus on the development of the banking sector in four dimensions, including financial depth, financial stability, financial efficiency and financial inclusion, and its impact on household welfare using the generalized method of moments approach to address the endogeneity problem. The authors employ biennial household welfare data from the National Statistical Office survey from 2007 to 2019 which covers all provinces in Thailand. The findings suggest that each type of banking development significantly affects household income and consumption in Thailand, although in different ways. Financial depth decreases income and consumption expenditure, while financial inclusion increases income and consumption expenditure (level effect). However, there are insignificant impacts on volatility of household income and consumption (volatility effect). Our findings prove that the implementation of policies to promote banking development either promote or decrease household welfare. This study can provide insight on policy impact and assist policymakers in considering the adoption of banking development policies to promote growth of the local economy, while at the same time aiming to reduce welfare inequality.

Purpose: This chapter aims to present the arguments for and against central bank digital currency (CBDC) increasing financial inclusion. Financial inclusion is one of the many reasons for issuing a CBDC.

Need for the study: There is a need to offer a critical perspective on the proposed financial inclusion benefits of CBDC. This is the first paper to present arguments supporting and statement against CBDC for financial inclusion.

Method: This chapter uses discourse analysis methodology to identify the arguments about CBDC promoting financial inclusion

Findings: The arguments in support of CBDC increasing financial inclusion are that CBDCs can digitise value chains, CBDCs can improve access to digital financial services, CBDCs can help to enlarge the digital economy, CBDCs can enhance the efficiency of digital payments, CBDCs can be used offline when there is no internet coverage, and CBDCs have low transaction costs. Some criticisms are that CBDC may not prioritise financial inclusion, a high price to purchase digital devices for holding a CBDC, non-interest-bearing CBDCs, the strong preference for cash over digital currency, the burdensome identification and regulatory requirements, and the imposition of transaction costs.

Implications: Overall, the arguments presented in this chapter show that there is still disagreement over whether a central bank’s digital currency can increase financial inclusion. Nevertheless, in the light of recent events, many central banks are determined to issue a CBDC for many reasons. Even though CBDCs do not achieve the intended financial inclusion objective, at least the other goals for publishing a CBDC will be performed, such as a significant reduction in cash management costs and the effective conduct of monetary policy.

The purpose of the article is to show the changing behavior of investors in the post-pandemic period, the continued development of “emotional communities” in the financial market, as well as the factors contributing to their formation and the role of such communities in the elaboration of investors' decisions.

The research includes an analysis of the popularity of various terms searched in the US segment of Google in the financial category from 2004 to 2022, their correlation with financial market indicators and theoretical observations around these data.

The results obtained by the author allow him to draw the following conclusions: (1) the change in investors' behavior indicates the formation of the new distributed community-centric model of the financial market; (2) the main distinguishing feature of the behavior of many retail investors is gamification; (3) the networking of investors contributes to a significant change in their priorities in the elaboration of investment decisions; (4) the fundamental indicators of the financial market play an ever decreasing role in the decision-making of individual investors.

To the best of the author's knowledge, the formation of emotional communities of investors and their role in the elaboration of mass investor decisions is not widely covered in the literature. The paper develops a framework for further studies on the role of emotional communities in the financial market and in changing behavior of retail investors.

The authors explore how the sentiment expressed by emojis in comments on stocks is associated with the stocks' subsequent returns.

By applying our own analyzer, the authors find a sentiment effect of emojis on stocks returns separately to the plain text-expressed sentiment in Reddit posts about meme stocks such as Gamestop during the Covid-19 pandemic.

The authors document that a one-standard deviation change in emoji sentiment magnitude measured as the quantity of positive emoji sentiment posts over the previous hour is associated with an 0.06% (annualized: 109.2%) one-hour abnormal stock return compared to a mean of 0.03% (annualized: 54.6%). If the stock exhibits a higher intra-hour volatility, a proxy for uninformed noise trading, this relation is more pronounced and even stronger compared to stock return's relation to plain text sentiment.

The authors are not able to show causation that is open to future research. It also remains an open question how emojis impact market price efficiency.

Emojis are positively related to stock returns in addition to plain text-expressed content if they are discussed heavily by retail investors in Internet boards such as Reddit.

Shared emotions expressed by emojis might have an influence on how disconnected individuals make homogeneous decisions. This argument might explain our found relation of emojis and stock returns.

So, the study findings provide empirical evidence that emojis in Reddit posts convey information on future short-term stocks returns distinct from information expressed in plain text, in the case of volatile stocks, with a higher magnitude.

This paper aims to study the explanatory power of demographics, financial behaviors and financial literacy on instances of consumer financial fraud (CFF) among Emirati households.

This study is based on a survey applied to the United Arab Emirates’ (UAE’s) largest federal higher education institution. The authors analyzed the data using generalized linear models, specifically generalized regressions based on both the logit and the probit models. Independent sample tests were also applied to compare the different subgroups considered in this study.

The authors found that the CFF victims seem to be older with more years of post-secondary education and high monthly credit card balances. When analyzing the probability of Emirati students becoming CFF victims, the authors found that only age, instances of lack of monthly income to cover living costs, and average monthly credit card balance, all have significant and positive explanatory power on the probability of becoming a CFF victim. However, when analyzing the aggregate subsample of all Emirati respondents, only the credit card balance has a positive and significant relationship with such a probability.

The authors used a non-probability sampling method that produced some biases, including a gender bias and an age-related bias. These biases preclude us from making valid inferences and generalizations about the Emirati population.

To the best of authors’ knowledge, no previous research article has studied CFF in the UAE, which constitutes this study’s original contribution.

Electrical industry equipment in the southern parts of Iran have sustained severe damages as a result of corrosive soil containing different kinds of salt, in combination with the corrosive local atmosphere. The present paper is the result of investigations into the behaviour of coatings for various electrical insulators end‐fittings. In this research, the performance of Al‐Zn alloy coating was compared to conventional galvanized zinc coatings by means of atmospheric corrosion tests. The results demonstrated the higher corrosion resistance of the alloy coatings, compared to that of conventional galvanized coatings. Insulator end‐fittings generally are made of steel, which are coated with a hot‐dip galvanized coating. The combination of Al and Zn elements in this coating was demonstrated to possess better galvanic protection and lower corrosion rate than did pure zinc.

The purpose of this paper is to determine the long‐term corrosion behavior of cast iron coupons in the Jubail Industrial City (JIC), Saudi Arabia.

The samples were exposed under atmospheric, underground, and splash zone conditions, at Khaleej Mardumah Test Station (KMTS) in Jubail. Soil, groundwater, seawater and air particulate samples were collected at the exposure sites and were analyzed. Secondary electron microscopy (SEM), X‐ray diffraction (XRD) and X‐ray fluorescence (XRF) were used to examine the surface morphology of the test coupons and identify the corrosion products developed on the surface of the metals. The corrosion rates of the coupons were determined by weight loss method.

The results showed that the atmosphere, underground and splash zone conditions all were very corrosive to cast iron, due to temperature and humidity variations as well as the high chloride and sulfate concentrations in the region. The splash zone was the most corrosive regime of the three test zones. The main corrosive ions in the environments were identified as chloride and sulfate. The maximum chloride and sulfate concentrations were measured to be 8.94 and 49.65 μg/m³ in atmosphere, 8,040 and 1,410 ppm in soil, and 29,500 and 5,770 mg/l in seawater, respectively. The corrosion rates of cast irons were found to be 343‐536 μm/y in splash zone, 90‐214 μm/y in underground, and 22‐27 μm/y in atmosphere. Compared to other parts of the world, the soil, marine and atmospheric environments at the selected test site are very corrosive.

In this paper, corrosion of cast iron is presented in atmospheric, soil and splash zone conditions along the eastern coast of the Arabian Gulf.

This paper aims to examine and compare the associations between financial capability and financial anxiety (FA) before and during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, financial capability is measured by three indicators: financial knowledge, financial behavior and financial confidence. This study also examines and compares the association among different income groups before and during the pandemic.

Data are from 2018 to 2021 National Financial Capability Study (NFCS). Structural equation modeling (SEM) is employed to examine the direct and indirect associations between financial capability factors and FA. Furthermore, this paper also conducts multi-group SEM for three income groups to examine the heterogeneous effects of household income.

Both before and during the pandemic, financial knowledge is directly positively and financial behavior is directly negatively associated with FA. In addition, both financial knowledge and financial behavior are positively associated with financial confidence, which in turn is negatively associated with FA. However, when taking the indirect effects into consideration, the total effects of financial capability factors on FA are all negative. Furthermore, the pandemic has intensified the negative association between financial behavior and FA rather than financial knowledge or financial confidence. Multi-group SEM shows that the positive direct effects of financial knowledge are only significant in the low-income group, while the negative direct effects of financial behavior are only significant in the low- and middle-income groups before the pandemic. However, direct effects of financial knowledge and financial behavior are significant in all income groups during the pandemic.

First, this study specifies a construct, financial confidence, to proxy perceived financial capability. Second, it examines the mediating role of financial confidence in the association between the other two financial capability factors (financial knowledge and financial behaviors) and FA. Third, it also compares the associations between financial capability factors and FA before and during the COVID-19 pandemic.