scholarly journals Impact of Big Data Analysis on Accounting Profession Field – Study in Jordanian Business Environment

2021 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
Suleiman Mustafa El- Dalahmeh
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Financial Analysis ◽  
Business Environment ◽  
Big Data Analysis ◽  
Accounting Education ◽  
Accounting Profession ◽  
Training Courses ◽  
Basic Hypothesis ◽  
The Impact

This study aims to identifying the impact of big data analysis on the accounting Profession in Jordanian business environment. To achieve the study objectives researcher distributed a questionnaire to (147) out of certified public accounts, financial analysis and experts in big data analysis in the kingdom of Jordan. (108) questionnaires were returned. The response rate was (51.7%) of the population. In addition, the study sought to verify the hypothesis of the study. In order to analysis the data, the researcher used means, standard deviation and T-test. The result of the study revealed that the big data analysis have a significant role on the accounting roles and improve the quality of accounting characteristics in Jordan with an overall means (4.52). Based on the results of hypotheses, rejected the null basic hypothesis of the study, and the two null sub-hypotheses were rejected. In light of findings the researcher gave a number of recommendations:1- The necessity of teaching big data and business analysis in the accounting education curricula at the undergraduate level to enhance students' knowledge of the importance of that data.2- Holding workshops and training courses for researchers and academics to knowing them the importance of analyzing big data and how to process, store, manage and invest it in the accounting and financial field.

Application of Statistical Analysis Tools and Concepts to Big Data and Predictive Analytics to New Product Development

2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analysis ◽  
Product Development ◽  
Competitive Advantage ◽  
New Product Development ◽  
New Product ◽  
Big Data Analysis ◽  
Life Cycles ◽  
The Impact

In today's fiercely competitive environment, most companies face the pressure of shorter product life cycles. Therefore, if companies want to maintain a competitive advantage in the market, they need to keep innovating and developing new products. If not, then they will face difficulties in developing and expanding markets and may go out of business. New product development is the key content of enterprise research and development, and it is also one of the strategic cores for enterprise survival and development. The success of new product development plays a decisive role both in the development of the company and in maintaining a competitive advantage in the industry. Since the beginning of the 21st century, with the continuous innovation and development of Internet technology, the era of big data has arrived. In the era of big data, enterprises' decision-making for new product development no longer solely relies on the experience of decision-makers; it is based on the results of big data analysis for more accurate and effective decisions. In this thesis, the case analysis is mainly carried out with Company A as an example. Also, it mainly introduces the decision made by Company A in the actual operation of new product development, which is based on the results of big data analysis from decision-making to decision-making innovation. The choice of decision-making is described in detail. Through the introduction of the case, the impact of big data on the decision-making process for new product development was explored. In the era of big data, it provides a new theoretical approach to new product development decision-making.

scholarly journals A Big Data Analysis on Distributed File Storage System

2019 ◽  
Vol 9 (2) ◽  
pp. 2383-2388
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Storage System ◽  
Real Life ◽  
File Systems ◽  
Big Data Analysis ◽  
Distributed File Systems ◽  
File Storage ◽  
Recent Developments ◽  
The Impact

Nowadays, the digital technologies and information systems (i.e. cloud computing and Internet of Things) generated the vast data in terabytes to extract the knowledge for making a better decision by the end users. However, these massive data require a large effort of researchers at multiple levels to analyze for decision making. To find a better development, researchers concentrated on Big Data Analysis (BDA), but the traditional databases, data techniques and platforms suffers from storage, imbalance data, scalability, insufficient accuracy, slow responsiveness and scalability, which leads to very less efficiency in Big Data (BD) context. Therefore, the main objective of this research is to present a generalized view of complete BD system that consists of various stages and major components of every stage to process the BD. In specific, the data management process describes the NoSQL databases and different Parallel Distributed File Systems (PDFS) and then, the impact of challenges, analyzed for BD with recent developments provides a better understanding that how different tools and technologies apply to solve real-life applications.

scholarly journals Research on the Impact of the Coronavirus Disease 2019 (COVID-19) Pandemic on the Global Trade Economy Based on Big Data Analysis

2021 ◽  
Vol 33 (6) ◽  
pp. 1-18
Author(s):  
Jianfei Li ◽  
Juxing Li ◽  
Jin Ji ◽  
Shengjun Meng
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Industrial Development ◽  
Modern Society ◽  
Big Data Analysis ◽  
Development Pattern ◽  
Global Trade ◽  
Global Trend ◽  
Study Results ◽  
The Impact

The coronavirus disease 2019 (COVID-19) epidemic that began in early 2020 quickly formed a global trend, bringing unprecedented shocks to many countries’ and even the global trade economy. Big data is the main feature of the Internet era, which has transformed the industrial development pattern of modern society and has now flourished in the field of trade economy; therefore, it is of great significance to apply the big data analysis technology to study the impact of the COVID-19 epidemic on the global trade economy. On the basis of summarizing and analyzing previous research works, this paper, expounded the research status and significance of the impact of the COVID-19 epidemic on the global trade economy, elaborated the development background, The study results of this paper provide a reference for further researches on the impact of the impact of the COVID-19 epidemic on the global trade economy based on big data analysis.

scholarly journals “Big results require big ambitions”: big data, data analytics and accounting in masters courses

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Karen Mcbride ◽  
Christina Philippou
Keyword(s):  
Big Data ◽  
Critical Thinking ◽  
Data Analysis ◽  
Data Analytics ◽  
Thinking Skills ◽  
Accounting Education ◽  
Professional Qualification ◽  
Content Type ◽  
The Impact

Purpose Accounting education is re-inventing itself as technology impacts the practical aspects of accounting in the real world and education tries to keep up. Big Data and data analytics have begun to influence elements of accounting including audit, accounting preparation, forensic accounting and general accountancy consulting. The purpose of this paper is to qualitatively analyse the current skills provision in accounting Masters courses linked to data analytics compared to academic and professional expectations of the same. Design/methodology/approach The academic expectations and requirements of the profession, related to the impact of Big Data and data analytics on accounting education were reviewed and compared to the current provisions of this accounting education in the form of Masters programmes. The research uses an exploratory, qualitative approach with thematic analysis. Findings Four themes were identified of the skills required for the effective use of Big Data and data analytics. These were: questioning and scepticism; critical thinking skills; understanding and ability to analyse and communicating results. Questioning and scepticism, as well as understanding and ability to analyse, were frequently cited explicitly as elements for assessment in various forms of accounting education in the Masters courses. However, critical thinking and communication skills were less explicitly cited in these accounting education programmes. Research limitations/implications The research reviewed and compared current academic literature and the requirements of the professional accounting bodies with Masters programmes in accounting and data analytics. The research identified key themes relevant to the accounting profession that should be explicitly developed and assessed within accounting education for Big Data and data analytics at both university and professional levels. Further analysis of the in-depth curricula, as opposed to the explicitly stated topic coverage, could add to this body of research. Practical implications This paper considers the potential combined role of professional qualification examinations and master’s degrees in skills provision for future practitioners in accounting and data analysis. This can be used to identify the areas in which accounting education can be further enhanced by focus or explicit mention of skills that are both developed and assessed within these programmes. Social implications The paper considers the interaction between academic and professional practice in the areas of accounting education, highlighting skills and areas for development for students currently considering accounting education and data analytics. Originality/value While current literature focusses on integrating data analysis into existing accounting and finance curricula, this paper considers the role of professional qualification examinations with Masters degrees as skills provision for future practitioners in accounting and data analysis.

scholarly journals THE IMPLEMENTATION OF BIG DATA ANALYSIS IN REGULATING ONLINE SHORT-TERM RENTAL BUSINESS: A CASE OF AIRBNB IN BEIJING

2019 ◽  
Vol IV-4/W9 ◽  
pp. 79-86
Author(s):  
J. Li ◽  
F. Biljecki
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Analysis ◽  
Housing Prices ◽  
Big Data Analysis ◽  
Price Sensitivity ◽  
Short Term ◽  
New Business ◽  
The Impact ◽  
The Relationship

Abstract. With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating this new business model. This research aims to establish an approach to understand the impact of Airbnb (and similar services) through big data analysis and provide insights potentially useful for its regulation. The paper reveals how Airbnb is influencing Beijing’s neighbourhood housing prices through machine learning and GIS. Machine learning models are developed to analyse the relationship between Airbnb activities in a neighbourhood and prevailing housing prices. The model of the best fit is then used to analyse the neighbourhood price sensitivity in view of increasing Airbnb activities. The results show that the sensitivity is variable: there are neighbourhoods that are likely to be more price sensitive to Airbnb activities, but also neighbourhoods that are likely to be price robust. Finally, the paper gives policy recommendations for regulating short-term rental businesses based on neighbourhood’s price sensitivity.

scholarly journals The impact of big data analysis on competitive advantage support (Field study on industrial companies listed on the Palestine Stock Exchange)

2021 ◽  
Vol 10 (3) ◽  
pp. 630-646
Author(s):  
Abd El Rahman Mohammed Rashwan ◽  
Mohammed Atef Madi
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Competitive Advantage ◽  
Stock Exchange ◽  
Big Data Analysis ◽  
Quality Of Data ◽  
Industrial Companies ◽  
General Managers ◽  
Leadership Strategy ◽  
The Impact

The study was aimed at identifying the impact of big data analysis on supporting the competitive advantage of industrial companies listed on the Palestine Stock Exchange, the study used the descriptive analytical approach, and conducted the study on a sample of (49) general managers, financial and administrative in the industrial companies listed on the Palestine Stock Exchange, and concluded the study there is a significant impact of the analysis of big data on (strengthening competitive position, cost leadership strategy, strategy of excellence, strategy of focus) in the industrial companies listed on the Palestine Stock Exchange, and recommended that companies listed industrial in Palestine work on Do more big data analysis to support and enhance investors' decision-making ability by improving the quality of data obtained, and you need to have correct information about customers, products and the environment around the company in the fastest and least time to access the competitive advantage that big data analysis can provide.

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