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    264 research outputs found

    Digital Asset Management in the Communication of Product Promotional Activities

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    Digital asset management (DAM) is utilized in various scenarios and for a variety of technological goals. This study investigates the implications of digital asset management systems on product promotion, advertising, and marketing, as this is a new application area for the technology in question. When it comes to handling electronic content, digital asset management (DAM) is utilized in various scenarios for a variety of technological goals. A conceptual framework for describing promotional processes in the worlds of information technology and promotional communication logistics is presented in this paper. It is explained in the study how a coherent DAM system helps to advertise agencies to execute more work with fewer employees by providing speed to market, productivity savings, enhanced agency, and client revenues, secure client branding. Readers will learn how to deal with fundamental challenges such as file-naming criteria, load balancing, and maintaining cultural buy-in inside the organization from reading this article. Grounded on the findings of the review of related literature, the potential benefits of digital asset management in this context are discussed. An explanatory study is used to scrutinize the anticipated advantages. The description of marketing supply networks yields fresh insights into managing supply chain operations

    Does Financial Flexibility foster Investment Efficiency? Evidence from an Emerging Market

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    This research aims to examine the relationship between financial flexibility and investment efficiency empirically, i.e., how financial flexibility effects suboptimal investments and efficiency. To attain the research objectives, we used panel data for 18 years (2000-2017) obtained from the CSMAR database; and also used the GMM estimation technique for research outcome. Our empirical results reveal that financial flexible firms can reduce the suboptimal investment by increasing investments compared to the inflexible firms and increases the investment efficiency. Also, financially flexible firms generate additional power to borrow external finance by showing a significant positive relationship with current and expected leverage. This research considers China as an emerging economy that is in the transition of being a developed country with a unique set of corporate governance, which ensures the independence of independent directors by providing authority to disclose important board decisions to the public. Besides, the governance system is highly monitored by the government, which in turn reduces and information asymmetry and enact to provide investment efficiency. Thus, the outcome of this research offers several conceptions for researchers and managers, which may be useful for both emerging and advanced countries. The results indicate that financial flexibilities lead to excess debt capacity, and this capacity can be used in the bad time when external financing is challenging to fund profitable projects, and also financial flexibility can be used to exploit lucrative projects and reduce the underinvestment or overinvestment entailing investment effectiveness. Previous research addresses the issue related to cost and benefit, information asymmetry, ownership concentration, and firms’ propensity to financial flexibility. A little research conducted on financial flexibility and investment efficiency in the developed market (in Europe and USA), and thus the issue of and financial flexibility measured in unused debt capacity and investment efficiency, is one of the fundamental research in the emerging economy

    Bangladesh: Income Inequality and Globalization

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    Global anxiety about the effect of globalization is increasing. Throughout recent years the influence of globalization on income allocation has been fiercely discussed. This research carries out a time series review to examine the effect of globalization on income inequality in Bangladesh between 1975 and 2018. Study results indicate that globalization variables – exports, imports, foreign aid, foreign direct investment (FDI), and remittance inflows – have a significant long-term impact on income inequality in Bangladesh. Long-term foreign aid and imports are improving, while exports, FDI, and remittance inflows are deteriorating income distribution in Bangladesh during the study period. Nevertheless, in the short term, exports, imports, FDI have little to no impact in the model and a change in foreign aid and remittances will have a significant conservative force attempting to resolve the system

    Covid-19 and Sustainable Tourism: Macroeconomic Effect and Policy Comparison among Europe, the USA and China

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    This study examines the potential macroeconomic effects of Covid-19 on the tourism sector of Europe, the USA, and China as well as provides policy suggestions in light of previous scholarly works. The study finds that the global tourism sector is geocentric and the tourism sector of EU countries is interdependent. The study also finds strong domestic tourism in the USA and China whereas domestic tourism in EU countries is not that strong. As domestic tourism is less income-elastic than international tourism countries should promote domestic tourism to recover the loss of this sector from the adverse effect of Covid-19. Although the probable loss of the tourism sector can be estimated with reference to the recent previous global economic crises, the study assumes far-reaching and massive effects of Covid-19 on the tourism sector due to strictly restricted or banned global and domestic travel as well as the unknown duration of the pandemic. The study also finds the similarity of age groups participating in tourism and infected and died by Covid-19. So, combined and comprehensive policies should be formulated to save the international tourism sector from the drastic catastrophe of Covid-19

    Timeliness Value and Free-from-error Quality of Accounting Information: A Study on Commercial Banks

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    This paper makes an effort to assess the timeliness value and free-from-error quality of accounting information generated by AIS through the avenue of annual reports of the selected commercial banks in Bangladesh. An opinion survey was run through a closed questionnaire- designed by using a five-point Likert scale. Based on primary data, the study reveals that the qualities of accounting information produced by AIS of commercial banks are satisfactory in terms of both timeliness and free-from-error, yet inadequate in absolute terms. Moreover, the study substantiates that there is no significant variation (homogeneity) of opinion among the respondents regarding the timeliness and accuracy of accounting information. The outcomes of the study identified that the feature of annual reports of commercial banks in Bangladesh is not up to the standard due to erratic power supply, poor communication infrastructures, the accidental entry of poor data, virus infection, unauthorized accessing, copying, printing and distributing of data or information, etc. Consequently, respective authorities are highly encouraged to come forward to ensure the maximum qualities of AIS. The study has focused on two qualitative characteristics and only on the annual report. Thus, further research is recommended to conduct focusing on others such as quarterly and interim reports, bank circulars, financial press releases, etc. to investigate the extent of additional qualities, for instance, feedback value, credible value, clarity value, etc

    The Impacts of Machine Learning in Financial Crisis Prediction

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    The most complicated and expected issue to be handled in corporate firms, small-scale businesses, and investors’ even governments are financial crisis prediction. To this effect, it was of interest to us to investigate the current impact of the newly employed technique that is machine learning (ML) to handle this menace in all spheres of business both private and public. The study uses systematic literature assessment to study the impact of ML in financial crisis prediction. From the selected works of literature, we have been able to establish the important role play by this method in the prediction of bankruptcy and creditworthiness that was not handled appropriately by others method. Also, machine learning helps in data handling, data privacy, and confidentiality. This study presents a leading approach to achieving financial growth and plasticity in corporate organizations. We, therefore, recommend a real-time study to investigate the impact of ML in FCP. &nbsp

    Turn over Intention among Nurses: The Role of Job Demand and Job Burnout

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    This study aims to prove the influence of job demand on job burnout and turn over the intention. The sample of this study is 96 nurses on the hospital private sector in Surabaya, Indonesia. The sampling method uses simple random sampling with online systems. This study examines  3  hypotheses with smart PLS. The result of this study is to prove that job demand has a positive influence on job burnout, job burnout has a positive influence to turn over intention and job demand has a positive influence to turn over the intention. Practical Implications states that nurses are vulnerable to job burnout. &nbsp

    Application of Linear Programming Approach for Determining Optimum Production Cost

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    Cost optimization problem deals with that problem which aims to find out the most appropriate ways to fulfill the demand of a particular product of any manufacturing company with minimum cost. Linear programming is one of the most appropriate techniques for scheduling the optimum cost of manufacturing. In this study, the production schedule of a bicycle manufacturing company is taken into account. The mathematical formulation of the problem under consideration is performed by using a linear programming approach. An operations research software, TORA (Temporary-Ordered Routing Algorithm), has been used in solving the problem and analyzing the results. Results reveal that a specific schedule has a great impact on optimizing the production cost

    Decision Intelligence in Business: A Tool for Quick and Accurate Marketing Analysis

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    The term "artificial intelligence" (AI) refers to a technology recently becoming a disruptive innovation with far-reaching ramifications for many industries, including business. AI has revolutionized decision-making processes in recent years by providing organizations with enhanced analytical capabilities. These capabilities allow organizations to extract essential insights from large volumes of data, enabling AI to modernize decision-making processes. The implementation of AI in business could result in the industry being forced to rely on marketing strategies that are more efficient, less expensive, and more accurate. An increase in audience reaction and constructing a powerful online brand capable of competing with others are possibilities for an entrepreneur who implements AI-based marketing methods in their company. In addition to marketing, it can completely revamp an existing firm by introducing novel ideas. In addition, it offers answers to complex challenges, which contributes to the significant expansion of the firm. The study\u27s primary objective is to evaluate how artificial intelligence (AI) and decision-making are utilized in business. Additionally, the researchers attempted to investigate how AI is being used to improve decision-making processes and how it is transforming business models. According to the study, applying artificial intelligence in business decisions can have a big transformative effect, providing significant efficiency, accuracy, and innovation benefits. Systems that AI powers allow businesses to process and analyze vast amounts of data rapidly, making decisions more quickly and with greater insight

    E-Commerce Transaction in Hello Gold Investment: Islamic Investment Review

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    With advancing the digital platform, many investment plans were introduced to share the benefits and potential assets invested. This paper aims to seek to understand the e-commerce of gold investment transactions from the context of Shariah. The methodology adopted was interview and document research from the qualitative study. Review of existing literature sheds light on some conditions that must be adhered to in e-commerce gold investment are the four pillars of Islamic contracts consist of contracting parties, the price, offer, and acceptance, and subject matter. Gold investment also has its own standard criteria and regulations that must be fulfilled according to Shariah where the item gold has considered as ribawi item. The finding shows that Hello Gold launched the first online gold platform e-commerce through a new mobile application Smart Saver Plan as an automated 12-months savings plan that helps customers have a saving gold monthly with little effort. The features of e-commerce mobile applications are equipped with easy steps of gold purchasing which contain detailed registration, price, features of the gold specification, and method payment system. Term and condition also adhered to gain the consent of customer engagement in the transaction. Hello Gold is a recognized Shariah-compliant whereby it complies with BNM guidelines. The appraisal of these criteria and features justified the validity of Hello Gold Smart Saver Plan from Shariah review perspectives. The e-commerce of mobile application also meets the Shariah ruling transaction which in turn enhance the level of online trust among Muslim users

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