Digital Technology and Changing Roles in Managerial and Financial Accounting: Theoretical Knowledge and Practical Application: Volume 36

This chapter proposes a model for discovering suspicious financial operations such as money laundering. To achieve this, the authors reviewed research papers on money laundering and financial institutions’ cases and problems, especially those related to financial transfers. They also collected primary data through face-to-face semi-structured interviews with financial companies’ owners and experts in financial transfers to identify hypotheses that help discover suspicious transfers. The chapter discusses the six big data analysis cycle phases from problem discovery to model deployment to identify suspicious transfers. The chapter uses hypothetical data and models to discuss the results and focuses on exchange companies willing to analyze financial operations. The chapter proposes tools that exchange companies can use to monitor and prevent suspicious transfers including data visualization and machine learning algorithms.

The main objective of this study is to examine the impact of the Theory of Planned Behavior (TPB) on the behavioral intentions of Fintech usage. The model incorporates perceived behavioral control, attitude, and subjective norms, and the researcher has also included perceived risk and perceived trust. This study involved 192 respondents who were Jordanian citizens. An online questionnaire was used as the survey instrument for data collection. The proposed hypotheses were statistically tested using SmartPLS and SPSS software after examining the data based on initial assumptions. The outcome of the data analysis supports several published hypotheses, with all hypotheses being supported. The significant value of this research lies in its examination of the TPB in the Jordanian context, incorporating perceived risk and perceived trust. To the best of the authors’ knowledge, no previous study has tested the TPB in the Jordanian setting by including perceived risk and trust to understand the behavioral expectations of Jordanian citizens regarding Fintech usage.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.

The health crisis linked to COVID-19 has made digitization a significant issue for companies regardless of their form or geographical location. Our research focuses on the financial technology (Fintech) revolution in the context of international development. Its theoretical framework lies in both the fields of Fintech and factoring. As innovative start-ups that combine finance with new technologies, Fintechs have been able to disrupt the banking world in a few years by challenging its traditional practices. We use the case method to analyze two Fintech in-depth, and our results highlight the upheaval of Fintechs in the factoring sector. The supply of the analyzed Fintech is a limited working capital requirement. Furthermore, Fintechs may threaten classical banks due to the innovation of their offers and business models. However, the Fintech revolution focused on corporate finance is still in its infancy.

Digitalization is considered an emerging phenomenon that enables businesses to develop new markets and business models. It helps firms expand the scope of their activities and enables organizations to become more efficient. It is now a reality for firms and contributes to their value creation. Thus, the aim of this paper is to investigate the relationship between digitalization and firm performance through the mediating role of business model innovation (BMI) and to do so, a self-administered questionnaire with a sample of 70 Tunisian firms was conducted for this purpose. The main result of the analysis, confirms that digitalization is positively related to business performance, with BMI mediating this relationship.

Chatbot technology is growing swiftly across the banking and finance industry. The study aims to explore the influence of Task-Technology Fit (TTF), system suitability, perceived usefulness, social influence and satisfaction on respondents’ continuance intention among the chatbot-users. A total of 250 responses were collected using a structured questionnaire via social media across India. The measurement model was proposed based on the system usability (SUS) and TTF model with other constructs, and the hypothesis was tested using a structural equation model. The findings of the study highlighted and confirmed the association among five constructs: TTF, SUS, perceived usefulness, social influence, on satisfaction and continuance intention in the context of chatbots usage in banking.

Over the last several years, it has been clear that HR departments rely heavily on their own pieces of technological infrastructure. For improved time management, efficiency in working, productivity, managing remuneration, assessing personnel, recruiting candidates via online methods, etc., technology is being used across all areas of human resources. All of this require technology, and in this qualitative study, the author has attempted to compile the technologies used across all of the verticals, as well as their impact on HR functioning and the ways in which the Human Resource Information System (HRIS) is used within the organization. HRIS have modified HR administrative work and improved the business, allowing HR to rise from the tiers of management, administration, and maintenance to the level of core business and strategy.

This study focuses on the impact of green innovation on oil and gas firms’ performance in the MENA region from 2010 to 2020. Return on assets (ROA) was used to measure the financial performance of firms. However, green innovation was measured using two different scores, namely the environmental pillar and the innovation scores. Additionally, we introduced an oil price-moderated variable to examine its effect on the firm’s performance and the green innovation nexus. We collected data from the DataStream database. Regarding our empirical part, we use the generalized least squares method to carry out the analysis. Results showed a positive impact between green innovation scores and the firm’s performance in the MENA region. Also, we found that green innovation has a linear effect on firm performance. Finally, a negative, moderated effect of crude oil prices on green innovation and the firm’s financial performance nexus has been found.

The transition in the Nigerian financial environment can be directly linked to digitalization as banks are racing to digital complexity. Historically in Nigeria, the utilization of digital operations by financial institutions is to reduce the burden of long queues in the banking hall and the pressure of carrying cash all the time. The goal of financial technology was to enable bank customers to use digitalized banking services. Hence, the purpose of this paper is to establish an empirical analysis evaluating the effect of service digitalization (internet banking, mobile banking, and automated teller machine) on bank competitiveness. Survey data were collected from 118 banks employees and hypothesized relationships were assessed through SMART-PLS structural equation modeling tool version 3.3.3. The study found a positive and significant impact of internet banking and automated machines on bank competitiveness. The findings also revealed that mobile banking has an insignificant effect on bank competition, although the outcome was positive. Overall, both the regulators and bankers should formulate and integrate their digitalized banking system by focusing on the attributes that are required for effective and safe digital-based banking.

This study examines how chatbots could improve the client experience in the banking sector. Due to their quick and effective customer service, chatbots are becoming more and more popular, but it is still unknown whether they can improve the customer experience. In order to gather data from a simple random sample of Palestinian banking clients in the Gaza Strip, a survey was conducted utilizing the explanatory technique. To test hypotheses, data collected from 337 individuals was evaluated using simple regression analysis. According to the results, chatbots may enhance the customer experience by offering 24/7 availability, prompt support, and customized replies. However, issues with data privacy, lack of human interaction, and chatbot accuracy were also noted. The study comes to the conclusion that chatbots may be an effective tool for increasing customer experience in the banking sector, but their design, deployment, and interaction with current customer service channels must be carefully considered. This study significantly adds to the body of knowledge on chatbots and their potential influence on customer experience. The study offers useful insights into the particular difficulties and potential of employing chatbots in a highly regulated and customer-focused industry by concentrating exclusively on the banking sector. The results show that chatbot implementation in banking needs to be approached thoughtfully and strategically to maximize their potential for improving customer experience while limiting any possible downsides.

The purpose of this research was to investigate at the influence of technology acceptance model (TAM) characteristics including perceived ease of use, perceived compatibility, and perceived security on the perceived utility and actual use of mobile banking among Yemeni academics. It also investigated the function of perceived utility as a moderator in the link between TAM variables and mobile banking adoption. The sample size was 251 respondents who worked at universities in Yemen and were chosen using stratified random selection. According to the findings, perceived compatibility and perceived security had a substantial positive influence on perceived usefulness and real mobile banking use; however perceived simplicity of use had no effect on mobile banking usage. According to the results, perceived usefulness slightly mediated the association between perceived ease of use and security and mobile banking use, whereas it completely mediated the relationship between perceived compatibility and mobile banking usage. Overall, the research proved the significance of TAM elements in academics’ use of mobile banking in Yemen, offering a credible empirical framework for studying mobile banking usage in this setting.

This study investigates the impact of business strategy on earnings management practices for financial and non-financial firms in Oman. To assess the research objective, 430 firm-year observations from 2015 to 2019 were employed in the study. Using regression analysis, the findings suggest that differentiation strategy positively affects earnings management in financial sector firms. In addition, cost leadership strategy positively affects earnings management in non-financial sector firms. This indicates that business strategy is associated with company leaders managing their earnings while they are trying to survive through competition. These findings are useful for regulators, as they can introduce mechanisms to curb earnings management practices and instil more faith in investors.

Financial technology (fintech) has emerged as a major player in the global financial system, providing a range of services such as payments, digital currencies, money transfers, loans, crowdsourcing, and insurance. Fintech startups in Arab countries have also gained traction due to economic openness and globalization. However, concerns remain about the safety, durability, and security of traditional financial services, especially with the increasing use of artificial intelligence (AI) and digitization. The Central Bank of Bahrain and other regulatory authorities need to balance risk avoidance with the global trend toward innovation in fintech, as well as ensure that these technologies are not used for fraud, money laundering, piracy, or terrorist financing. The Bahraini government and supervisory authorities must strike a balance between preserving the integrity and robustness of the financial and banking sector and developing innovation. This can be achieved by adjusting the rhythm of comparison, strengthening and enhancing the safety of banks, achieving financial stability, and ensuring compliance with laws and legislation. It is important to address gaps in regulatory rules, information security, and the business environment, and launch financial awareness at the community level before embracing the potential of fintech and its unseen future development at the level of cryptocurrencies and others. The current work examines the impact of Fintech on the Future of banking in Bahrain and the opportunities and challenges.

This research sought to determine the impact of the management of electronic customer relationships through applying 5IS model on the mental image of Umniah Mobile Network Operator Company’s customers in Amman City. To fulfill the goals of the study, the researcher adopted the descriptive, analytic method. He developed an instrument to collect the data through a questionnaire, which was distributed through the simple, random sampling method over 700 customers of Umniah Company, in the City of Amman, out of which 400 analyzable questionnaires were retrieved. The researcher further employed the convenient statistical methods applying SPSS 22 Program for data analysis. The study concluded many results such as there is statistically significant impact at the significance level (α < 0.05) for the administration of consumer relationships through the use of 5IS model on the mental image of the provided services of Umniah Mobile Network Operator Company in Amman city. In this concern, the integration component is the most influential in the mental image with the customers of Umniah Company. Therefore, the study recommended the need Umniah Telecom Company has to search for the best means to positively influence shaping the mental image of its products, especially the means through which it can provide more information about its services.

Today’s financial reporting inherits its origin in money, numbers and accounting dated back 7,000 years in Mesopotamia. The Italian Luca Pacioli, “first person to publish a work on double-entry bookkeeping”¹ is regarded as the father of accounting and bookkeeping. In USA, SEC issued its first Accounting Series Release which appeared to be Commission’s views on auditing and accounting, later, in 1982 has become known as Financial Reporting Releases. Today more than 100 countries permit publicly held companies to use International Financial Reporting Standards. This meteoric rise for use of financial reporting was due to a worldwide demand from regulators, lenders, trade partners, businesses, investors and policy makers. “The Companies Act of 1994 mandates requirement for financial reporting by all companies in Bangladesh.”² Banks’ reporting formats and disclosures in Bangladesh based on BAS 30 is similar to the requirements of the Companies Act of 1994. The research depicts how the two banking institutions of Bangladesh – Islami Bank Bangladesh Limited (IBBL) and Grameen Bank having two philosophical objectives – uniquely present their results of operation under a uniform financial reporting system and how they differ in their financial operations.

The field of behavioural finance analyses the effects of mental factors on financial decisions including risk. If you want to know how people think about money and investments, you need to study behavioural finance. People’s attitudes about investing were uncovered through this study. Hence, their views on financial investing. Overconfidence, perception, representative, anchoring cognitive dissonance, regret aversion, limited framing, and mental accounting are only few of the behavioural finance concepts that are discussed in this article, along with their effects on stock market investor decision making. In order to poll 181 Bangalore investors, we employed a conventional questionnaire. The primary focus was on learning how behavioural financing influences investors and their investment choices. Our secondary objective was to study behavioural finance and investor psychology.

This study examines the impact of corporate performance and corporate size on corporate environmental information disclosure of A-share listed enterprises in Shanghai and Shenzhen during the period 2008–2017. In this study, corporate size (size) is represented by total assets, and corporate performance (Jzc) is represented by return on net assets. Environmental information disclosure quality (EID) is measured by the Environmental Information Disclosure Index (EIDI). Non-balanced panel data models are used. In order to eliminate the influence of unobservable factors during the sample period, year fixed effects and industry fixed effects are included. The results show that corporate size and performance both promote the improvement of EID quality. Measures such as improving corporate management efficiency and setting clear environmental performance indicators can help improve corporate competitiveness and core values, thus providing important support for improving EID quality. Future research is recommended to focus on the influence of internal corporate characteristics such as corporate nature (state-owned or not), equity structure, and executive background on EID quality.

The current study aimed to explore the extent of accounting graduates’ abilities (AGAs) in Jordan to use modern information technology systems (MITSs) to make optimal financial decisions (OFDs). To carry out this study, the descriptive analytical approach was used to collect and analyze data. Accordingly, an electronic questionnaire was designed and distributed to 5,000 students in 30 universities in Jordan. However, only 1,067 questionnaires were valid for analysis, which constituted the sample of study. To test the research hypotheses, the descriptive analysis and multivariate regression test were used. The results indicated that the majority of accounting graduates (AGs) in Jordanian universities (JUs) do not realize the importance role of MITSs to make OFDs. In addition, the biggest challenge face AGs in JUs is the weakness of current accounting curricula in JUs in terms of not including materials related to MITSs and the role of these systems in performing accounting tasks. Finally, the study found that the current abilities of AGs in JUs moderate negatively and significantly the positive relationship between the use of MITSs and making OFDs. Accordingly, the study recommended that JUs work on developing accounting curricula through including modern courses related to the use of MITSs in performing accounting tasks.

This chapter considers aspects of ensuring competitive advantages of the banking sector of Ukraine in the context of global digital transformation. It is proved that operations that previously required a large amount of resources and time can now be carried out automatically using software solutions and artificial intelligence (AI). Companies like FinTech and BigTech that combine financial technology with their core services pose a serious threat to traditional banks. The authors noted that digital technologies make it possible to provide faster and more efficient customer service and improve the security of operations and reduce costs. The emphasis is placed on the fact that the use of AI in the banking sector will contribute to improving the efficiency and accuracy of banks, reducing risks and costs, and also contributes to the selection of personalized approaches to their customers. It has been proven that, thanks to AI, banking companies can improve the efficiency of their work, reduce costs, and improve interaction with their customers, thereby gaining competitive advantages in the market.

Many scholars and practitioners in the fields of business and management have recently published theoretical and empirical studies on the subject of business culture and its impact on its growth and effectiveness; yet, there has been a dearth of research on the topic of how organizational culture affects productivity. Moreover, there are hardly any theoretical or empirical research that examines these two concepts within the context of a micro-enterprise. This chapter uses a sample of 279 Ancash Region microenterprises to investigate the effect of local entrepreneurial culture on businesses’ overall performance. Among the four types of entrepreneurial cultures studied, only the Hierarchical culture was shown to have no effect on the degree of performance of the microenterprises. There is evidence of a significant causal relationship between the variables studied, the coefficient of determination was; business performance (r² = 0.796), with an SRMR of 0.037, the confirmatory model is relevant within its range of accuracy, while market culture has the greatest impact on business performance.

Any banking institution’s success depends heavily on customer satisfaction. Understanding and evaluating customer satisfaction has become crucial with the rise of small finance banks (SFBs) in India, which serve the underserved and unbanking segments of society. In the context of SFBs in India, this chapter aims to examine the variables affecting customer satisfaction as well as how it affects these banks’ overall performance and sustainability. This study will help us better understand the dynamics of customer satisfaction in the Indian financial landscape by examining the particular difficulties and opportunities that SFBs face.

This research aims to investigate the process of value creation, value delivery, and value capture in project-based companies. Most previous research focused on companies that operate regularly and offer manufactured products or services. This research used companies in the field of information technology that developed software to explain how value creation, value delivery, and value capture occurred. A case study with qualitative research was applied to analyze between cases. Empirical findings showed that companies carry out six activities to ensure that value creation, value delivery, and value capture can be realized in the software development process. The six activities were iterative and not a rigid sequence. This research was limited to the software industry, and further research can test the results of this study by using a survey to increase the generalizability theory developed in this study.

This chapter examines the impact of macroeconomic factors on the financial performance of Chinese companies. Using multiple regression analysis, the study finds that gross domestic product (GDP) growth rate, inflation rate, interest rate, exchange rate, and government expenditure are significant predictors of the financial performance of Chinese companies. The results show that GDP growth rate, leverage, size, liquidity, profitability, and growth in sales all have significant positive impacts on financial performance, while growth in assets has a negative impact. The study provides insights into the impact of macroeconomic factors on the financial performance of Chinese companies. Policymakers and investors should take these findings into account when making decisions about economic policies and investments, and companies operating in China should be aware of the potential impact of these factors on their financial performance and look for ways to manage them effectively. The chapter also includes a model specification test and a robustness test to validate the accuracy of the results. The findings have important guiding significance for policy makers and investors in making economic policies and investment decisions. However, the study has limitations such as the use of horizontal panel data and the limited data sources used.

Businesses are now under more pressure from society, legislatures, and other stakeholders to act responsibly since there is a deeper understanding of how businesses affect society globally. Whether a company environmental policy is actively pursued or passively approved, boards are ultimately in charge of it. Hence, the aim of the study is to investigate the influence of the board of directors’ characteristics, namely board size, meetings, independence, gender diversity, and qualification, on environmental disclosure. The study covers all listed manufacturing companies in Saudi Arabia and Bahrain for the years 2018–2022. The study expects that the board of directors’ characteristics should have a significant impact on enhancing the environmental disclosure. The finding of the study will add a vital contribution to the literature as it is the first study to be conducted in a developing country, such as Bahrain, where no study has yet been conducted there. The finding will help different parties, for example, policy makers, regulators, and shareholders as well as managers on the effect of the board of directors on the level of high quality in environmental disclosure that will build a good reputation for companies.

Sustainability has become the topic of the era, and the world is moving toward a circular economy. As part of it, companies are also integrating sustainability in supply chain management. Therefore, this study conducts a technology-empowered systematic literature review to examine the state of the literature on the technologies in the sustainable supply chain. The review reveals that limited studies have been conducted in the area. There is still scope for the researchers to explore new innovative technologies, many clusters in author collaboration, and involve more sectors in the study. Future studies can enrich the field by employing other methodologies like meta-analysis review.

This chapter focuses on a case study of Kareem Exchange Company and its use of big data analysis to detect and prevent fraud and suspicious financial transactions. The chapter describes the various phases of the big data analysis cycle, including discovery, data preparation, model planning, model building, operationalization, and communicating results, and how the Kareem Exchange Company team implemented each phase. This chapter emphasizes the importance of identifying the business problem, understanding the resources and stakeholders involved, and developing an initial hypothesis to guide the analysis. The case study results demonstrate the potential of big data analysis to improve fraud detection capabilities in financial institutions, leading to informed decision making and action.

The study aims to evaluate the financial distress position of selected sample banks in India. The top 10 banks with the highest levels of gross non-performing assets (NPA) under both public and private sector ownerships have been chosen for the study. Application of the Altman Z-score model has been used to compare both ownership banks’ financial distress for five years from 2017 to 2021. Based on the study’s findings, it was found that private sector banks demonstrated better financial stability than their public sector counterparts. Specifically, the average Z-score of the selected sample banks was higher than the safe zone threshold of 2.9 during the study period.

The aim of the study is to examine the influence of remuneration committee (RC) characteristics, namely separation, size, independence, meetings, and female directors, on firm performance (FP) by using return on assets (ROA), return on equity (ROE) and earnings per shares (EPS). The study covers all firms being listed in Bahrain Bourse for two years which are 2020 and 2021. The results of the study show that having more directors in RC would significantly increase firm performance “ROE and EPS.” Further, having more females in RC would significantly increase firm performance “ROA.” In addition, having separate RC would significantly decrease firm performance “ROA and EPS.” Moreover, the independence of directors in RC and its frequent meetings has no significant impact on the firm’s performance. The results show that there is a need to re-evaluate the role of the RC and strengthen its effectiveness, as some of the variables examined by this study have an insignificant impact on a firm’s performance. Further, there is a need to allocate additional efforts and policies in developing corporate governance and RCs as well.

The contemporary business environment has been revolutionized by artificial intelligence (AI), which has undoubtedly impacted the operational and competitive strategies of small and medium-sized enterprises (SMEs). In this write-up, we delve into AI’s influence on SMEs by delving into the advantages, obstacles, and prospects associated with adopting AI technology. Based on an exhaustive analysis of current literature, this essay contends that SMEs can optimize their functions, enhance decision-making processes, and deliver superior customer experiences with the adoption of AI. However, SMEs face several challenges in embracing AI technology, including the high cost of implementation, lack of technical expertise, and concerns about data confidentiality and security. This chapter also illuminates prospective opportunities that SMEs can leverage through AI, such as establishing a foothold in new markets and competing effectively with larger enterprises. Overall, this chapter concludes that SMEs must carefully evaluate the costs and benefits of adopting AI, and develop a strategic plan for implementation that aligns with their business goals and resources.

The relationship between employees, co-workers, and the company is crucial because it determines its success in achieving its goals. This engagement is strongly influenced by job demands and work resources at the company, affecting how employees feel about their workplace’s physical, psychological, and mental conditions. High job demands with supportive work resources can increase employee motivation and create an employee’s high commitment to the company. Digitalizing all human resources information systems will make it easier for employees to achieve their work targets, so digitalization has a role in strengthening or weakening the influence of work demands and resources on employee engagement. The concept is that existing job demands should be balanced with the availability of appropriate job resources to minimize or even eliminate psychological disturbances and improve employee health. This physically and psychologically healthy condition greatly supports the ability of employees to use digital technology in the human resources management (HRM) process.

This research aims to analyze how companies in the industry act as orchestrators and manage participants in their networks. The service industry has received little attention from scholars in this field, and this research gap was investigated in this study. Qualitative case study research with an exploratory approach is applied in this research so that in-depth insights can be obtained. Mamikos.com, a platform for room rent in Indonesia, was used as the research subject. Mamikos does not only facilitate tenants to find rooms to live in but also manages how landlords can serve tenants better and help tenants understand what the landlords want. In other words, Mamikos seeks to smoothen the value stream from landlords to tenants and vice versa. This research has implications that the value orchestrator must be able to facilitate the parties in the ecosystem to obtain the fundamental values needed and other side values so that they are loyal to the ecosystem managed by the orchestrator.

Internet of things (IoT) involves the connection of various devices. IoT’s application ranges from wearables: Smart Home Application, Health Care, Smart Offices, Smart Cities, Agriculture, and Industrial Automation. While the number of connected devices grows by the day, so does the number of security risks and vulnerabilities that these devices face. Billions of the connected devices collect and transmit huge volumes of data making Data Security one of the most pressing technical concerns in IoT. Smart Office is one of the increasing IoT applications and Data Security has become today one of the most challenging areas in its application. It is important to identify data security threats. This chapter therefore presents a review of IoT Smart Office Data Security Threats based on existing research done.