European Journal of Business and Innovation Research (EJBIR)

EA Journals

Decision Making

Analysis of the Application of Differential Accounting Information in Decision Making Receiving or Rejecting Special Orders to Increase Corporate Profits (Published)

This study aims to determine the application of differential accounting information in decision making to accept or reject product special orders at Company X; The level of profit development in company X; The use of differential accounting information in decision making to accept or reject product-specific orders can increase profits in company X. The research method used in this research is the case study method and descriptive analysis. Data collection techniques using questionnaires, documentation and interviews. Data analysis using Likert scale and calculation of profit growth rate. Based on the results of the study note that the application of differential accounting information in decision making to accept or reject special orders at company X is included in the inadequate criteria. The level of earnings growth in Company X is volatile. With the analysis of the application of differential accounting information when company X receives a special order from a customer, the company can decide to accept or reject the order appropriately so that the company’s profit increases.

Keywords: Accounting information, Decision Making, differential, profit

Information Quality: Definitions, Measurement, Dimensions, and Relationship with Decision Making (Published)

Quality data is inevitably an important pre-requisite for managerial decision-making, especially when the decisions made can have far-reaching consequences for the organization. Hence, scrutinizing the information obtained and demanding that the information meets certain features are paramount to achieving sustainable organizational performance. The present paper provides a roadmap on the definition of Quality Data, its dimensions and relationship with decision making effectiveness. 

Keywords: Decision Making, Information, Quality Data.

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