Topic
Business analytics
About: Business analytics is a research topic. Over the lifetime, 3593 publications have been published within this topic receiving 84601 citations. The topic is also known as: Business Analytics & business analytics.
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01 Jan 2014
TL;DR: The system, InSciTe Advisory, is focused on improving research performance and is based on 5W1H questions to build actionable strategies to achieve a given goal and shows fundamental difference with descriptive analytics and predictive analytics.
Abstract: As the amount of data increases enormously, business analytics such as descriptive, predictive, and prescriptive analytics is one of the most important topics for better decision making especially for CTO or CIO in corporate. Prescriptive analytics shows fundamental difference with descriptive analytics and predictive analytics in that it requires high-value alternative actions or decisions to achieve a given goal. However, only a few studies have been introduced since it is a emerging technology. Thus, this study aims to trigger research on this technical area by implementing a prescriptive analytics system and by verifying it in the point of usability and usefulness. The system, InSciTe Advisory, is focused on improving research performance and is based on 5W1H questions to build actionable strategies to achieve a given goal. The comparison evaluation of the system with Elsevier SciVal showed a rate of 118.8% in usefulness and reliability.
14 citations
TL;DR: In this article, various analytics in empirical/archival financial accounting research are described, focusing on research questions that are central to accounting research, analytics used to test hypotheses, and evidence.
14 citations
TL;DR: The use of business analytics to gain insight and make better business decisions is rapidly becoming a mainstream business practice as mentioned in this paper, allowing managers to identify the best results when changes are made to variables in questions such as the following: “Which x is most likely to bring about y?”
Abstract: The use of business analytics to gain insight and make better business decisions is rapidly becoming a mainstream business practice. Business analytics allow managers to identify the best results when changes are made to variables in questions such as the following: “Which x is most likely to bring about y?” © 2013 Wiley Periodicals, Inc.
14 citations
TL;DR: A view of four perspectives of IJPR papers related to knowledge management, focusing on the specific perspectives related to information systems, computer software and analytics support of supply chain management, are presented.
Abstract: Knowledge management can be viewed as the ability to identify, store and retrieve knowledge. This paper presents a view of four perspectives of IJPR papers related to knowledge management, focusing on the specific perspectives related to information systems, computer software and analytics support of supply chain management. IJPR publications since 2006 that used these key terms are included in a primitive network analysis of these papers. A dichotomy of knowledge management into information systems versus quantitative analysis is detected, with some minimal overlap. This analysis elaborates the evolution of both analytics and information systems in knowledge management. The network is also viewed from specific relation to three fields considered important now and in the near future: sustainability, multiple criteria decision-making and supply chain risk management. The intent is to identify a view of the state-of-the-art of IJPR published research related to knowledge management in supply chains.
14 citations
01 Jan 2001
14 citations