Managerial Ability and Revenue-Expense Matching: Accrual Estimation versus Business Decision

2020 ◽  
Author(s):  
Hyungjin Cho
2018 ◽  
Vol 5 (1) ◽  
pp. 47-55
Author(s):  
Florensia Unggul Damayanti

Data mining help industries create intelligent decision on complex problems. Data mining algorithm can be applied to the data in order to forecasting, identity pattern, make rules and recommendations, analyze the sequence in complex data sets and retrieve fresh insights. Yet, increasing of technology and various techniques among data mining availability data give opportunity to industries to explore and gain valuable information from their data and use the information to support business decision making. This paper implement classification data mining in order to retrieve knowledge in customer databases to support marketing department while planning strategy for predict plan premium. The dataset decompose into conceptual analytic to identify characteristic data that can be used as input parameter of data mining model. Business decision and application is characterized by processing step, processing characteristic and processing outcome (Seng, J.L., Chen T.C. 2010). This paper set up experimental of data mining based on J48 and Random Forest classifiers and put a light on performance evaluation between J48 and random forest in the context of dataset in insurance industries. The experiment result are about classification accuracy and efficiency of J48 and Random Forest , also find out the most attribute that can be used to predict plan premium in context of strategic planning to support business strategy.


2007 ◽  
Vol 4 (2) ◽  
pp. 45
Author(s):  
Norudin Mansor ◽  
Che Ismail Long ◽  
Ahmad Ismail Mohd. Annuar

The research project was conducted to investigate the understanding of E-commerce Application among the SMEs in the state of Kelantan. Focusing on the population of registered members of Dewan Perniagaan Melayu Malaysia, Kelantan, a total of302 respondents were selected to participate in our study. Moving in line with the general assumption of world business community it is agreed that e-commerce application is highly relevant for the survival and meeting the challenges of borderless economy. At the same time, the process of acquiring knowledge and understanding the environment, coping with changes, and speeding up the business decision, able to further enhance the competitive advantage of the SMEs. Using the established model, our investigation focused on 5 identifiable variables to demonstrate its usefulness towards motivating SMEs to adopt e-commerce. Our analysis indicated that all the selected variables were significant towards enhancing the application of e-commerce and thus maintaining competitive advantage in the industry.


2018 ◽  
Vol 9 (2) ◽  
pp. 57-68
Author(s):  
Gabriel Croitoru ◽  
Mircea Constantin Duica ◽  
Dorin Claudiu Manolache ◽  
Mihaela Ancuta Banu

Abstract Entrepreneurial spirit plays an increasingly important role in the economic sphere, and universities are meant to play a central role in this process, where the main objective is the continuous development and mediation of the knowledge increasingly geared to the applications through innovation and patenting a secure platform for employment and well-being growth. The Universities have to take a position in if/and how they want to grow into a so-called “University of Entrepreneurship” which is characterized by a high degree of openness to the surrounding society and here we are talking, especially, about, the business sector in Romania. This evolution of expectations for the social role of universities has resulted from increased and recent interest in entrepreneurship and innovation of areas as research and theory of the business environment. The experience gained as teachers indicates that education and entrepreneurship education should include different theories and methodology than those applied in the usual way. The theory of traditional management and microeconomic models could even be a barrier to new thinking and change and, therefore, to the implementation of modern entrepreneurial actions. We want this article to be a source of inspiration for educational institutions and to have a positive contribution to research in business education and to be applicable in business decision-making.


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


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