Pub Date : 2025-11-19DOI: 10.1016/j.jacceco.2025.101849
Brandon Gipper, Fiona Sequeira, Shawn X. Shi
We examine whether external assurance improves the quality of firms’ carbon accounting. We develop a measure of carbon accounting quality based on the deviation of reported emissions from a model-based expected level and supplement it with two survey-based measures. We show that assurance is associated with higher carbon accounting quality. This association is stronger when firms have weaker pre-existing carbon accounting systems and when assurance is more thorough. Consistent with assurance enhancing quality, assurance relates to the identification of issues in a firm’s carbon accounting system, along with fewer omissions and more revisions of prior disclosures. Exploiting mandated assurance for non-financial reporting in three E.U. countries, we show that firms experience post-regulation increases in carbon accounting quality. Together, the findings highlight the importance of assurance for reporting firms that are improving their carbon accounting quality.
{"title":"Carbon Accounting Quality: Measurement and the Role of Assurance","authors":"Brandon Gipper, Fiona Sequeira, Shawn X. Shi","doi":"10.1016/j.jacceco.2025.101849","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101849","url":null,"abstract":"We examine whether external assurance improves the quality of firms’ carbon accounting. We develop a measure of carbon accounting quality based on the deviation of reported emissions from a model-based expected level and supplement it with two survey-based measures. We show that assurance is associated with higher carbon accounting quality. This association is stronger when firms have weaker pre-existing carbon accounting systems and when assurance is more thorough. Consistent with assurance enhancing quality, assurance relates to the identification of issues in a firm’s carbon accounting system, along with fewer omissions and more revisions of prior disclosures. Exploiting mandated assurance for non-financial reporting in three E.U. countries, we show that firms experience post-regulation increases in carbon accounting quality. Together, the findings highlight the importance of assurance for reporting firms that are improving their carbon accounting quality.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"191 1","pages":"101849"},"PeriodicalIF":1.2,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145594264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-15DOI: 10.1016/j.jacceco.2025.101852
Neil Bhattacharya, Bidisha Chakrabarty, Matthew Ma, Jing Pan
As markets replace contractual liquidity providers (designated market makers; DMMs) with voluntary liquidity provision through cutting-edge technology, we investigate how this affects price discovery. Research suggests that endogenous liquidity provision is not always optimal. We investigate how DMMs affect the incorporation of earnings news into prices. Using a regression discontinuity design, we show that increased DMM participation facilitates earnings news discovery—lower JUMP, lower Synchronicity, and higher Future Earnings Response Coefficient. Greater DMM participation associates with improved liquidity, and induces greater informed trading as evidenced by more short selling on negative news and increased EDGAR and Bloomberg search activity before earnings announcements. Our results highlight an important and hitherto overlooked effect of modern technology on processing earnings information.
{"title":"Do Designated Market Makers Facilitate Earnings News Discovery?","authors":"Neil Bhattacharya, Bidisha Chakrabarty, Matthew Ma, Jing Pan","doi":"10.1016/j.jacceco.2025.101852","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101852","url":null,"abstract":"As markets replace contractual liquidity providers (designated market makers; DMMs) with voluntary liquidity provision through cutting-edge technology, we investigate how this affects price discovery. Research suggests that endogenous liquidity provision is not always optimal. We investigate how DMMs affect the incorporation of earnings news into prices. Using a regression discontinuity design, we show that increased DMM participation facilitates earnings news discovery—lower <ce:italic>JUMP</ce:italic>, lower <ce:italic>Synchronicity</ce:italic>, and higher Future Earnings Response Coefficient. Greater DMM participation associates with improved liquidity, and induces greater informed trading as evidenced by more short selling on negative news and increased EDGAR and Bloomberg search activity before earnings announcements. Our results highlight an important and hitherto overlooked effect of modern technology on processing earnings information.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"107 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-15DOI: 10.1016/j.jacceco.2025.101839
Daphne M. Armstrong, Stephen Glaeser
We examine whether taxpayer assistance with tax filing and compliance affects entrepreneurship. Taxpayer Assistance Centers help taxpayers, including entrepreneurs, to correctly file their taxes and navigate the tax system. We find that Taxpayer Assistance Centers positively associate with local entrepreneur entry and with overall Schedule C business income levels. We conclude that taxpayer assistance encourages traditional business entrepreneurship by reducing compliance costs that stem from tax complications and complexity.
{"title":"Does taxpayer assistance encourage entrepreneurship?","authors":"Daphne M. Armstrong, Stephen Glaeser","doi":"10.1016/j.jacceco.2025.101839","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101839","url":null,"abstract":"We examine whether taxpayer assistance with tax filing and compliance affects entrepreneurship. Taxpayer Assistance Centers help taxpayers, including entrepreneurs, to correctly file their taxes and navigate the tax system. We find that Taxpayer Assistance Centers positively associate with local entrepreneur entry and with overall Schedule C business income levels. We conclude that taxpayer assistance encourages traditional business entrepreneurship by reducing compliance costs that stem from tax complications and complexity.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"9 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-25DOI: 10.1016/j.jacceco.2025.101834
Carol Callaway Dee, Bing Luo, Elaine Wang, Jing Zhang
We examine whether critical audit matter (CAM) reporting improves internal controls over financial reporting. We propose that CAM reporting improves internal control quality. This is because CAM reporting incentivizes early identification and communication of internal control issues among auditors, management, and audit committees, and increases their attention and effort in high-risk CAM areas. We find that, compared to control companies, companies that implement CAM reporting experience a significant decrease in the likelihood of internal control material weaknesses (ICMWs), and the improvement in internal control quality is primarily at account-level rather than entity-level controls. We also find that CAM reporting significantly lowers the likelihood of accounting misstatements. Cross-sectional analyses suggest that the benefit of CAM reporting on internal control quality depends on audit committee quality and auditor effort. The survey results of audit partners and CFOs provide further support for our theory.
{"title":"Critical audit matters and internal control quality: The disciplining role of CAM reporting","authors":"Carol Callaway Dee, Bing Luo, Elaine Wang, Jing Zhang","doi":"10.1016/j.jacceco.2025.101834","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101834","url":null,"abstract":"We examine whether critical audit matter (CAM) reporting improves internal controls over financial reporting. We propose that CAM reporting improves internal control quality. This is because CAM reporting incentivizes early identification and communication of internal control issues among auditors, management, and audit committees, and increases their attention and effort in high-risk CAM areas. We find that, compared to control companies, companies that implement CAM reporting experience a significant decrease in the likelihood of internal control material weaknesses (ICMWs), and the improvement in internal control quality is primarily at account-level rather than entity-level controls. We also find that CAM reporting significantly lowers the likelihood of accounting misstatements. Cross-sectional analyses suggest that the benefit of CAM reporting on internal control quality depends on audit committee quality and auditor effort. The survey results of audit partners and CFOs provide further support for our theory.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"77 1","pages":"101834"},"PeriodicalIF":1.2,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145242016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-04DOI: 10.1016/j.jacceco.2025.101831
Daniel Aobdia, Aaron Yoon
We exploit a unique dataset to examine how auditors integrate financially material environmental, social, and governance (ESG) issues into their audits, particularly following the introduction of the Sustainability Accounting Standards Board (SASB) and the 2013 Committee of Sponsoring Organizations (COSO) frameworks, which highlighted the link between ESG and clients’ internal control over financial reporting (ICFR). We find that auditors exhibit excessive optimism when evaluating ICFR effectiveness in the presence of material ESG incidents. Auditors often fail to detect material weaknesses in ICFR when clients experience negative ESG incidents, which leads clients to restate their financial statements. These results are driven by the post-SASB and the 2013 COSO period and are the strongest when ESG incidents are illegal and occur well before the fiscal year-end. Overall, audit firms do not seem to fully understand the implications of material ESG issues from an ICFR standpoint and make assessments that are incorrect.
{"title":"Do auditors understand the implications of ESG issues for their audits? Evidence from financially material negative ESG incidents","authors":"Daniel Aobdia, Aaron Yoon","doi":"10.1016/j.jacceco.2025.101831","DOIUrl":"https://doi.org/10.1016/j.jacceco.2025.101831","url":null,"abstract":"We exploit a unique dataset to examine how auditors integrate financially material environmental, social, and governance (ESG) issues into their audits, particularly following the introduction of the Sustainability Accounting Standards Board (SASB) and the 2013 Committee of Sponsoring Organizations (COSO) frameworks, which highlighted the link between ESG and clients’ internal control over financial reporting (ICFR). We find that auditors exhibit excessive optimism when evaluating ICFR effectiveness in the presence of material ESG incidents. Auditors often fail to detect material weaknesses in ICFR when clients experience negative ESG incidents, which leads clients to restate their financial statements. These results are driven by the post-SASB and the 2013 COSO period and are the strongest when ESG incidents are illegal and occur well before the fiscal year-end. Overall, audit firms do not seem to fully understand the implications of material ESG issues from an ICFR standpoint and make assessments that are incorrect.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"70 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145059817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: Taxes play a critical role for most governments around the world in funding investments in capital, infrastructure and the delivery of essential services. The study therefore sought to examine the effect of trade openness and agriculture on tax revenue performance in Kenya.
Methodology: The study adopted correlational research design, Vector Error Correction Model (VECM) mechanism and Granger causality test to establish the relationship between the study variables. The choice of the VECM was influenced by its ability to estimate both short run and long run relationships. The theoretical framework of the study followed Heller’s neoclassical maximization utility approach. Annual time series data for the study were sourced from the World Bank Development Indicators for the period 1980-2020.
Results: The study findings established that in the long-run agriculture share (-0.64, t-statistics = 14.57) and trade openness (-0.08, t-statistics = 3.88) have negative and significant effect on tax revenue performance in Kenya. The Pairwise Granger Causality test results indicated unidirectional causality running from tax revenue performance to trade openness. This suggests that tax rates have effect on trade openness in Kenya.
Unique Contribution to Theory, Policy and Practice: The study adds to literature by proving the Arthur’s Laffer curve theory which advocates for lowering tax rates in order to boost productivity and encourage expansion of corporation. The findings of the study may provide the National Treasury with foundation for policy formulation and analytical framework for estimating the associated tax revenue with variables under consideration in this study. The study may be of importance to KRA in determining appropriate tax rates that are favorable in boosting revenue mobilization.
{"title":"Effect of Trade Openness and Agriculture on Tax Revenue Performance in Kenya","authors":"Jordan Moses, Nelson Obange, Evans Kiganda","doi":"10.47604/ijecon.2122","DOIUrl":"https://doi.org/10.47604/ijecon.2122","url":null,"abstract":"Purpose: Taxes play a critical role for most governments around the world in funding investments in capital, infrastructure and the delivery of essential services. The study therefore sought to examine the effect of trade openness and agriculture on tax revenue performance in Kenya.
 Methodology: The study adopted correlational research design, Vector Error Correction Model (VECM) mechanism and Granger causality test to establish the relationship between the study variables. The choice of the VECM was influenced by its ability to estimate both short run and long run relationships. The theoretical framework of the study followed Heller’s neoclassical maximization utility approach. Annual time series data for the study were sourced from the World Bank Development Indicators for the period 1980-2020.
 Results: The study findings established that in the long-run agriculture share (-0.64, t-statistics = 14.57) and trade openness (-0.08, t-statistics = 3.88) have negative and significant effect on tax revenue performance in Kenya. The Pairwise Granger Causality test results indicated unidirectional causality running from tax revenue performance to trade openness. This suggests that tax rates have effect on trade openness in Kenya.
 Unique Contribution to Theory, Policy and Practice: The study adds to literature by proving the Arthur’s Laffer curve theory which advocates for lowering tax rates in order to boost productivity and encourage expansion of corporation. The findings of the study may provide the National Treasury with foundation for policy formulation and analytical framework for estimating the associated tax revenue with variables under consideration in this study. The study may be of importance to KRA in determining appropriate tax rates that are favorable in boosting revenue mobilization.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135195365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.
{"title":"Efficiency Analysis of the Food and Beverage Industry in Tanzania: A Comparative Analysis","authors":"Veneranda Lufano, Gabriel Kirori, Rose Mugiira","doi":"10.47604/ijecon.2119","DOIUrl":"https://doi.org/10.47604/ijecon.2119","url":null,"abstract":"Purpose: This study examined the performance of food and beverage industries in Tanzania in terms of productive and technical efficiency. The specific objectives of the study were to evaluate the productive efficiency performance of food and beverage industries in Tanzania, to determine the level and trend of efficiency of food and beverage of food and beverage industry in Tanzania, and to assess the levels of productive efficiency performance in the food and beverage subsectors in Tanzania
 Methodology: The study used secondary data to achieve its objectives. The study employed a Panel data analysis technique using 40 companies in the manufacturing sector over a period of three years, 2018-2020. A stochastic frontier production model was applied using a linearized Translog production function to determine the performance elasticity coefficients of inputs and technical efficiency. The study used production theory advanced by Koutsoyiannis (1979) to explain the relatonship between input and output factors.
 Findings: One of the key findings was that the level and trend of efficiency in food and beverage industry demonstrated an upward trend for the period between 2018 and 2020 as evidenced by the changes in average in both food and beverage sub-sector which grew from 0.776 in 2018 to 0.7557 in 2019 and finally to 0.7746 in 2020. Another finding of the study was that, the individual productive efficiency distribution between food and beverage sub-sector revealed that beverage sub-sector performs much better than food sub-sectors, with an average technical efficiency of 77.85% and 81.36% for both food and beverage sub-sectors, respectively.
 Unique Contribution to Theory, Practice and Policy: The study’s unique contributions to theory include its assessment of efficiency levels, analysis of efficiency trends, and exploration of sector-specific variations. Its practical contributions encompass policy recommendations, guidance on modernization and technology adoption, and the importance of skills development and export promotion. These insights have direct implications for policymakers, industry stakeholders, and practitioners in Tanzania's food and beverage sector, aiding in the formulation of effective strategies to enhance efficiency and competitiveness.
 The study recommends that the government and other stakeholders comes up with policy reforms to address the underlying factors contributing to the underutilization of each firm’s production capacity. This includes reforming the input market in the manufacturing sector in order to increase the level of efficiency to 100%. There should be establishment of an efficient marketing mechanism that reduces the involvement of many parties in the supply chain and hence high transaction costs.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135959929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The objective was to determine the effect of per capita income on youth unemployment in Kenya.
Methodology: The study was anchored on Okun’s law, which predicts a 1% drop in employment from a 2% drop in GDP. The study used the World Bank Database’s quantitative time series data from 1991–2021. The choice of the ARDL was based on the ability of the model to give long-run and short-run analyses of stationary and non-stationary variables. Pre-estimation procedures and diagnostics tests were used to determine the stability of the model.
Findings: Findings revealed a significant negative relationship between per capita income (-0.3666, p = 0.013) and youth unemployment in the long-run. The speed of adjustment (-0.89999, p = 0.0001) from the short-run to the long-run is evident.
Unique Contribution to Theory, Practice and Policy: This study may help academicians develop their knowledge of youth unemployment. It may increase understanding of per capita income as an indicator of growth and its application in Okun’s law. The Salaries and Remuneration Commission (SRC) may benefit from this study by creating better packages of salaries, allowances, and mortgages that may attract and improve the standard of living of Kenyan youth. The Public Service Board (PSB) may establish youth-friendly offices to motivate youth to stay in the labour force. Moreover, this study may guide the State Department for Youth Affairs to promote youth employment and increase labour productivity in Kenya. The State Department of Gender may use the study in gender mainstreaming and gender policy management. Policymakers will assess the effectiveness of the curriculum in preparing youth for the job market. An increase in labour productivity will result from increasing youth employment.
{"title":"Effect of Per Capita Income on Youth Unemployment in Kenya","authors":"Jerry Okuom, Nelson Obange, Scholastica Odhiambo","doi":"10.47604/ijecon.2118","DOIUrl":"https://doi.org/10.47604/ijecon.2118","url":null,"abstract":"Purpose: The objective was to determine the effect of per capita income on youth unemployment in Kenya.
 Methodology: The study was anchored on Okun’s law, which predicts a 1% drop in employment from a 2% drop in GDP. The study used the World Bank Database’s quantitative time series data from 1991–2021. The choice of the ARDL was based on the ability of the model to give long-run and short-run analyses of stationary and non-stationary variables. Pre-estimation procedures and diagnostics tests were used to determine the stability of the model.
 Findings: Findings revealed a significant negative relationship between per capita income (-0.3666, p = 0.013) and youth unemployment in the long-run. The speed of adjustment (-0.89999, p = 0.0001) from the short-run to the long-run is evident.
 Unique Contribution to Theory, Practice and Policy: This study may help academicians develop their knowledge of youth unemployment. It may increase understanding of per capita income as an indicator of growth and its application in Okun’s law. The Salaries and Remuneration Commission (SRC) may benefit from this study by creating better packages of salaries, allowances, and mortgages that may attract and improve the standard of living of Kenyan youth. The Public Service Board (PSB) may establish youth-friendly offices to motivate youth to stay in the labour force. Moreover, this study may guide the State Department for Youth Affairs to promote youth employment and increase labour productivity in Kenya. The State Department of Gender may use the study in gender mainstreaming and gender policy management. Policymakers will assess the effectiveness of the curriculum in preparing youth for the job market. An increase in labour productivity will result from increasing youth employment.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135957983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-17DOI: 10.34104/ijma.023.0074090
Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.
{"title":"The Impact of Artificial Intelligence (AI) on Customer Relationship Management: A Qualitative Study","authors":"","doi":"10.34104/ijma.023.0074090","DOIUrl":"https://doi.org/10.34104/ijma.023.0074090","url":null,"abstract":"Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135303865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-08DOI: 10.34104/ijma.023.0066073
This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.
{"title":"Using the Z-score to analyze the Financial Stability of Conventional Commercial Banks in Bangladesh","authors":"","doi":"10.34104/ijma.023.0066073","DOIUrl":"https://doi.org/10.34104/ijma.023.0066073","url":null,"abstract":"This paper aims to measure and identify the determinants of financial stability of conventional commercial banks of Bangladesh listed on the Dhaka Stock Exchange. In the first step, the researcher calculates an accounting-based Z-score to measure the financial stability of the 23 sample banks over the period 2013-2022. In the second phase of the study, panel data regression analysis is conducted to identify the bank-specific determinants of financial stability. The exogenous variables include return on asset, income diversity, bank size, non-performing loan liquidity, capital adequacy, and management efficiency. The endogenous variable is the financial stability measured by z-score. The study provides empirical evidence of the bank-specific factors affecting the solvency of conventional commercial banks in Bangladesh.","PeriodicalId":42721,"journal":{"name":"International Journal of Economics Management and Accounting","volume":"14 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78449173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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