Asian Business Review
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264 research outputs found
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Insights into Disclosure Practices and Profitability: Empirical Findings from the Insurance Industry in Bangladesh
Full text linkCorporate disclosure has a significant impact on meeting the information needs of the different stakeholders for rational decision-making. The study investigates the extent of disclosure in the annual reports. It examines the relationship between the level of corporate disclosure and profitability characteristics of the insurance companies operating in Bangladesh. In this current study, six insurance companies were taken as samples enlisted in the Dhaka Stock Exchange using the purposive sampling technique. The study results reveal that the mean values of the overall disclosure percentage of sample insurance companies have been increasing gradually in the first year and last year. The study results also reveal a significant difference in corporate disclosure percentages among the sample insurance companies. The multiple regression analysis with ordinary Least Squares (OLS) regression model is employed to assess the relationship between profitability characteristics and the corporate disclosure percentages. The results report a positive significant relationship between the corporate disclosure percentages and corporate profitability characteristics like earnings per share, gross premium, net premium, net profit after tax, return on assets, return on equity, and underwriting profit. Still, there is an insignificant relationship between net profit before tax and corporate disclosure percentages of the sample insurance companies over the period under study
AI-Enhanced IMC: Leveraging Data Analytics for Targeted Marketing Campaigns
Full text linkData analytics to improve targeted marketing efforts examines how artificial intelligence (AI) transforms Integrated Marketing Communications (IMC). The main focus is AI technology\u27s effects on customization, real-time marketing, and client segmentation. The secondary data-based study reviews academic literature, industry publications, and case studies from Netflix, Coca-Cola, Sephora, and Starbucks. Major studies show that AI improves customization, real-time optimization, and accurate targeting, improving engagement, customer happiness, and campaign performance. However, data privacy, algorithmic prejudice, and ethics are issues. The report emphasizes the need for robust data security and fair AI rules that balance innovation and consumer protection. Responsible AI marketing requires robust legal frameworks and ethical standards to address these difficulties
Corporate Annual Report vs. Corporate Website: Bridging the Information Differences
Full text linkCorporate annual reports and websites are vital sources of publicly disclosed company information. However, which is better regarding information richness, ease of use, and cost-effectiveness is still an unsettled issue. The extent of disclosure in these two sources is not the same and differs significantly. To address these information asymmetries between these two sources and make better decisions, many users simultaneously use the annual report and website as their data sources, which is more laborious, time-consuming, and expensive. In the present practice, a company prepares its annual report and then keeps a soft copy on the website. Unlike the current practice, this study proposes a model where corporate transactions and information will first be available on the websites. Then, companies will prepare their annual reports based on the information on their websites. Hence, this study strives to find a way to bridge the information differences between these two information sources by introducing a bridging model that ensures both sources will preserve the same information and the users can use any of them cost-effectively and conveniently without giving any priority to a data source. This research is a step towards sustainable development since our suggested model will save valuable resources, including paper and forest (the demand for printed annual reports will shrink) and various costs, such as materials, time, and labor
Analysis of the Consumer Perceptions of Online Shopping: Case of Bangladesh
No full textThough online shopping has become a new type of retail shopping, it has been adopted worldwide, including in Bangladesh, influencing ordinary citizens\u27 lives. In Bangladesh, consumers have not been habituated to online shopping frequently. This study aims to identify consumer perceptions of online shopping in Bangladesh. The study has 140 sample sizes from the Chuadanga district by forming a self-structured closed-ended Questionnaire. The SPSS version 16.0 statistical tool is used in this study. Several statistical tools, like frequency tests and percentages, were used to measure the objective. We found that consumers are primarily young, below 30 ages, who shop online to save time, and for available varieties of products and services and prefer to pay through cash on delivery method. Most consumers feel risk in online shopping and are also concerned about the security of the payment system. Overall, Consumers are satisfied with online shopping. Also, this study has a few limitations. Future research with a larger sample size and additional variables is recommended
Relationship between Authentic Leadership and Big Five Personality Trait of Neuroticism: An Empirical Study
Full text linkThe scope of study that has been done on the significant personality impact of neuroticism on authentic leadership has been relatively minimal. Using a correlational method, this study aims to investigate the relationship between one of the Big Five personality traits, specifically neuroticism, and authentic leadership components (self-awareness, internalized moral perspective, balanced processing, and relational transparency). The authentic leadership questionnaire (ALQ) is used to measure authentic leadership and the Big Five Inventory (BFI) was used to self-report leader personality. The results of this research showed that there is a negative correlation between neuroticism and all authentic leadership dimensions. This was the key takeaway from the study
AI-Augmented Decision-Making in Management Using Quantum Networks
Full text linkCombining artificial intelligence (AI) and quantum networks can revolutionize management decision-making. This study delves into the implications of AI-augmented decision-making using quantum networks, focusing on its primary objectives, methodology, significant findings, and policy implications. By thoroughly examining the latest research, analyzing case studies, and exploring future possibilities, this study investigates the potential of combining AI and quantum computing to improve strategic decision-making, streamline operations, and foster innovation in management. The methodology entails thoroughly analyzing existing literature, carefully examining real-world case studies and a forward-looking forecast of future trends in AI-quantum integration. Significant discoveries emphasize the remarkable computational power and efficiency, enhanced decision-making abilities, and the potential for groundbreaking innovation and disruption that AI-augmented decision-making using quantum networks brings. Nevertheless, the study highlights various constraints and policy implications that need to be considered, such as technical hurdles, ethical concerns, and regulatory structures, to guarantee a responsible and ethical implementation. This study enhances our understanding of the potential impact of AI-augmented decision-making in management, particularly when combined with quantum networks. It emphasizes the need for proactive policy measures to ensure that the benefits of this technology are maximized while risks are minimized
Corporate Governance\u27s Influence on Private Commercial Banks\u27 Financial Performance in Bangladesh
No full textCorporate governance is imperious to the banking sector\u27s growth. The study aims to explore how corporate governance mechanisms impact certain aspects of financial performance. This study has taken five listed conventional PCBs with a five-year study period from 2016 to 2020 using the purposive sampling technique. The influence of various CG mechanisms on financial performance attributes has been investigated through the use of multiple regression analysis. The study findings demonstrate that equity ratio, log total assets, and log listing age out of eight variables have a significant influence on NPM and ROA, while the other five variables revealed insignificant influence.Β On the other hand, ROE was influenced by log total assets and log listing age, but insignificant influence was found in the remaining six variables. Moreover, log listing age revealed a significant impact on EPS, whereas an insignificant influence has been observed in the case of the remaining seven variables. The study recommended that corporate governance must be adequate and transparent for the sake of pertinent stakeholders in the banking sector
Transforming Talent Management: The Journey to E-Human Resources Excellence
Full text linkThis study offers a comprehensive exploration of the dynamic evolution within human resources (HR) and the transformative journey of talent management in the digital era. Beginning with an examination of foundational talent management principles, the narrative traces the shift from traditional HR frameworks to the contemporary landscape of E-Human Resources (E-HR) excellence. The study emphasizes the role of digital technologies as catalysts for this evolution, showcasing their impact on optimizing recruitment, performance management, and employee engagement. Throughout, HR innovation emerges as a driving force, highlighting how novel approaches and technologies are reshaping the HR landscape. This initiative underscores the pursuit of excellence in talent management within the E-HR paradigm, outlining strategies and best practices for organizations to navigate and thrive in the complexities of the modern workforce. In essence, this exploration encapsulates the ongoing narrative of innovation and excellence in the transformative journey of talent management within the digital era, providing valuable insights for HR professionals, organizational leaders, and policymakers navigating the evolving HR landscape
An Empirical Analysis of the Factors Associated with Mushroom Cultivation: A Case of Dhaka
Full text linkThe analysis aimed to identify mushroom production and marketing problems by different stakeholders in Bangladesh, specifically in the Dhaka district. It also seeks to improve the mushroom marketing system for domestic markets. The research was carried out in the Savar Upazila, located in the Dhaka district. One hundred twenty-one farmers were randomly picked and asked questions using an interview schedule to collect data. Pearson\u27s chi-squared test was utilized to investigate the degree to which socio-demographic factors and the response variable are related. In the end, a multivariate method known as logistic regression analysis is used to study the relationships between each predictor variable and the result variable that pertains to the respondents. The result revealed significant effects of gender, farmer\u27s education, and information sources for intermediate and experienced mushroom cultivators. However, land size, scientific cultivation, sources of capital, packaging, and sale were stronger among expert mushroom farmers than the new and mediocre mushroom farmers. This research provides valuable insights to improve the mushroom marketing system for domestic markets
Internet of Things and Blockchain Revolutionary Integration in the Business and Financial Sector
Full text linkMany applications of the Internet of Things have been developed, and these applications are causing people\u27s lifestyles to shift. The Internet of Things (IoT) finance refers to the various applications of the Internet of Things that have the potential to extend financial services throughout the entirety of the IoT commodities transaction, subvert traditional finance & Internet finance services, and make the financial business processes more intelligent, transparent, and accurate. This article presents the design and implementation of a financial management platform based on combining blockchain technology with supply chain logistics. Supply chain finance is integrated using blockchain technology to synchronize the system of bank account payments, achieve the automatic flow of funds, process supervision, and automatically settle account periods based on smart contracts. Therefore, this research paper aims to discuss the function of blockchain technology within the Internet of Things (IoT) and financial applications. These two domains stand to benefit the most from its implementation. In addition, this study investigates the concerns regarding privacy and security associated with it and offers some thoughts regarding how these issues can be addressed. In the final step of this process, the public perception of blockchain technology addresses how various parts of society view blockchain technology