scholarly journals DEVELOPMENT OF ACCOUNTING IN THE SYSTEM OF MAKING MANAGERIAL DECISIONS: HISTORICAL ASPECT

Author(s):  
Mykhailo PRODANCHUK

The article investigates the history of stages of emergence and formation of accounting in enterprise management in different countries of the world, taking into account domestic experience, and also determines its development in ensuring strategic decision-making. According to the results of the study, it is found that in the countries of the world there is no single approach of interpretation of "management accounting". It is justified that for English-speaking countries only, the concept of "management accounting" is generally accepted. It is determined that the term "management accounting" is a misinterpretation of the phrase "Management accounting", which literally means "management accounting", not management accounting. This made it possible to clarify the modern understanding of management accounting, which comes down to the disclosure of its first part, that is, the emphasis on the word "managerial", because it is this definition reveals a meaningful content of what is expected of such accounting and what it is intended for. It is determined that the development of management accounting is in an interdisciplinary direction. Systems theory and analysis, law, economic cybernetics, mathematics, probability theory, modeling, models and decision-making methods, information technology and programming. Such synergetics helps to strengthen accounting in business management of enterprises. The study of the historical evolution of management accounting component revealed the patterns of its formation and helped to highlight the six stages of its development in management. Selected stages of accounting form reflect the development of its organization and methodology in management, thereby attesting to the emergence of new ever-growing requirements for both accounting and its data.

2020 ◽  
Vol 21 ◽  
pp. 5
Author(s):  
Kamilė Medeckytė ◽  
Daiva Tamulevičienė

he application of strategic management accounting instruments in corporate governance is a significant tool for gaining a competitive advantage, increasing the existing market share, and improving the company’s performance. The article examines the development, concept, and significance of strategic management accounting. There are five areas of strategic management accounting: 1) costing; 2) planning, control, and performance measurement; 3) strategic decision-making; 4) competitor accounting; 5) customer accounting. The main instruments of each area, their advantages, challenges of implementation in enterprise management, and benefits for the efficiency of the organization have been identified.


Author(s):  
Sorinel Căpușneanu ◽  
Dan Ioan Topor ◽  
Dana Maria (Oprea) Constantin ◽  
Cristian Marian Barbu ◽  
Mihaela Stefan Hint

This chapter deals with some dimensions of strategic management accounting, including the instruments with which they operate and interconnect in order to make managerial decisions. The main objectives of this chapter are to present the general approaches of the concept of strategic management accounting, the dimensions of the application of strategic management accounting, and the strategic tools used by companies in establishing strategies and making decisions. Based on the specialized literature, the authors present the most significant theoretical-methodological approaches to strategic management accounting, the participation of management accountants in the decision-making process, the tools used by strategic management accounting. All aspects presented by the authors are based on existing literature, university studies, and specialized literature from around the world. The chapter concludes with the conclusions of the authors regarding the dimensions and implications of using the specific tools of strategic management accounting for decision making at managerial level.


Author(s):  
Iryna Krupelnytska ◽  

Inventories are main resources of the trading company. Analysis, accounting and control of inventories determines the management effectiveness of commercial enterprises processes. It is necessary to accelerate the turnover of commodity resources in order to increase the profits of a trading company. Successful turnover of commodity resources can be determined with the help of high-quality operational management accounting information, which is the basis for analysis, decision-making and further control of the trading company. Obtaining management information achieved with establishment of an effective accounting policy, which is the direct responsibility of the company's management. The interdependence of the accounting policy type, quality management accounting, operational analysis and clear control over inventories at the trade enterprise determines the effectiveness of enterprise management and profit in the long-term perspective.


Author(s):  
Meng-Fen (Grace) Lin ◽  
Mimi Miyoung Lee

The power of Internet provides unprecedented opportunities for learners to obtain diverse content and for educators to quickly distribute resources. In the increasing globalized learning environment, OpenCourseWare (OCW) is one of the recent movements to utilize the Internet in making educational materials freely available to the world. However, the fact that these materials are offered mainly in English poses challenges to the non-English speaking population in many parts of the world. In response to such concern in the Great China Region, a localization project called the Opensource OpenCourseWare Prototype System (OOPS) was born in Taiwan in February, 2004 (Lin & Chu, 2005). OOPS aims to break the language barrier and deliver the openly-accessible English educational materials to the Chinese-speaking audience in their native language. This chapter presents the detailed background and history of this project, and highlights three challenges that OOPS has faced in its early stage of development. They are: (1) access to materials, (2) issues about translation, and (3) complexity of intra-cultural communication. Based on the first author’s direct experience with the project, suggestions and implications for future research are also offered.


2019 ◽  
Vol 69 (12) ◽  
pp. 2218-2227 ◽  
Author(s):  
Kelly Safreed-Harmon ◽  
Sarah Blach ◽  
Soo Aleman ◽  
Signe Bollerup ◽  
Graham Cooke ◽  
...  

Abstract Cascade-of-care (CoC) monitoring is an important component of the response to the global hepatitis C virus (HCV) epidemic. CoC metrics can be used to communicate, in simple terms, the extent to which national and subnational governments are advancing on key targets, and CoC findings can inform strategic decision-making regarding how to maximize the progression of individuals with HCV to diagnosis, treatment, and cure. The value of reporting would be enhanced if a standardized approach were used for generating CoCs. We have described the Consensus HCV CoC that we developed to address this need and have presented findings from Denmark, Norway, and Sweden, where it was piloted. We encourage the uptake of the Consensus HCV CoC as a global instrument for facilitating clear and consistent reporting via the World Health Organization (WHO) viral hepatitis monitoring platform and for ensuring accurate monitoring of progress toward WHO's 2030 hepatitis C elimination targets.


2021 ◽  
Vol 2 (2) ◽  
pp. 383-401
Author(s):  
Muhammad Asif Amjad ◽  
Nabila Asghar ◽  
Hafeez-ur-Rehman

Covid-19 Pandemic proved to be very dangerous and catastrophic in the entire history of mankind. It affected every corner of the world within less than a year. It changed the lifestyle and paralyzed all modern technology and killed millions of people around the globe. This study presents the historical overview of major world pandemics and Covid-19 as well. It also examines the impact of Covid-19 pandemic on inflation and on other sectors of Pakistan's economy. The results reveal that covid-19 is the main culprit responsible for double digit inflation and slow economic growth in Pakistan. The present study explores that during 2020 high inflation was due to world lock down while in 2021 the main cause of inflation was persistent increase in oil prices, food shortage, political instability in Afghanistan and devaluation of Pakistan’s rupee. The results indicate that Covid-19 affects adversely every sector of Pakistan economy. The study suggests that government should pay proper attention to health of the general public and implement suitable policies to stabilize the economic growth.


2018 ◽  
Vol 6 (1) ◽  
pp. 1-4
Author(s):  
Anne-Laure Mention ◽  
João José Pinto Ferreira ◽  
Marko Torkkeli

Were you ever asked by a manager to ‘do what you want’, where you felt free to innovate? Did it feel like freedom? Maybe you felt encouraged since you could now experiment your idea, but did it mean that your performance was now on the radar? Could you then stay true to your vision or did you feel the need to compromise so that the ‘numbers lined up’? Either way, you should know that you are not alone. Arguably, we are in an age of paradox1 where simultaneous contradic- tions are all too common. Innovation paradox arises when “the aggressive pursuit of operational excellence and incremental innovation crowds out the possibility of creating ground-breaking innovations” (Davila & Epstein, 2014, p.2). Often these contradictions are meaningful on their own merit but when interdependent on each other, they create tensions in economic, social, environmental and ethical decision-making. In previous editorials, we have shared how digital innovations and societal disparity across the world are influencing strategic decision-making and shifting the innovation mindset. We now stretch the boundaries by suggesting that paradigms relying on economic trade-offs and shared-value that have shaped conventional organisational strategies are no longer sufficient to guide paradoxical tensions in decision-making. (...)


Author(s):  
Aditya Rajesh ◽  
Haidas Pai ◽  
Victor Roy ◽  
Subhasis Samanta ◽  
Sabyasachi Ghosh

CoVID-19 is spreading throughout the world at an alarming rate. So far it has spread over 200 countries in the whole world. Mathematical modelling of an epidemic like CoVID-19 is always useful for strategic decision making, especially it is very useful to gain some understanding of the future of the epidemic in densely populous countries like India. We use a simple yet effective mathematical model SIR(D) to predict the future of the epidemic in India by using the existing data. We also estimate the effect of lock-down/social isolation via a time-dependent coefficient of the model. The model study with realistic parameters set shows that the epidemic will be at its peak around the end of June or the first week of July with almost 108 Indians most likely being infected if the lock-down relaxed after May 3, 2020. However, the total number of infected population will become one-third of what predicted here if we consider that people only in the red zones (approximately one-third of India's population) are susceptible to the infection. Even in a very optimistic scenario we expect that at least the infected numbers of people will be of the order of 107.


2008 ◽  
pp. 2688-2696
Author(s):  
Edilberto Casado

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).


Author(s):  
Edilberto Casado

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).


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