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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Proceedings Article•
01 Jan 2011TL;DR: A comprehensive and up-to-date literature analysis examining 30 relevant literature sources focusing mainly on business model research found that a systematic and objective penetration of the research area could be achieved.
Abstract: The business model concept is characterized by numerous fields of application which are promising in business practice. Consequently, research on business models has attracted increasing attention in the scientific world. However, for a successful utilization, the widely-criticized lack of theoretical consensus in this field of research has to be overcome. Thus, this paper conducted a comprehensive and up-to-date literature analysis examining 30 relevant literature sources focusing mainly on business model research. To achieve this, the analysis was based on a classification framework containing 17 evaluation criteria. Hereby, a systematic and objective penetration of the research area could be achieved. Moreover, existing research gaps as well as the most important fields to be addressed in future research could be revealed.
172 citations
TL;DR: This paper proposes an alternative service which uses the elastic capacities of Cloud Computing to escape the limitations of the desktop and produce accurate results more rapidly, and improves risk and investment analysis and maintaining accuracy and efficiency whilst improving performance over desktops.
170 citations
Proceedings Article•
01 Jan 2012TL;DR: The conclusion is that the business analytics success model is likely to be a useful basis for future research.
Abstract: This paper presents a model, synthesized from the literature, of factors that explain how business analytics contributes to business value. It also reports results from a preliminary assessment of that model. The model consists of two parts: a process and a variance model. The process model depicts the analyze‐insight‐decision‐action process through which use of an organization's business analytic capabilities is intended to create business value. The variance model proposes that the five factors in Davenport et al.'s DELTA model of business analytics success factors, six from Watson & Wixom and three from Seddon et al.'s model of organizational benefits from enterprise systems, assist a firm to gain business value from business analytics. A preliminary assessment of the model was conducted using data from 100 customer success stories from vendors such as IBM, SAP and Teradata. Our conclusion is that the business analytics success model is likely to be a useful basis for future research.
168 citations
TL;DR: The objectives of this overview article are to motivate why researchers and practitioners from business analytics should utilize deep neural networks and review potential use cases, necessary requirements, and benefits, and investigate the added value to operations research in different case studies with real data from entrepreneurial undertakings.
165 citations
TL;DR: In this paper, an interpretative framework for digital academic entrepreneurship is proposed that is composed of the following components: the rationale for the adoption of digital technologies for academic entrepreneurship, the emerging forms of digital academic entrepreneurs, the stakeholders involved through the digital technologies to achieve the academic entrepreneurship goal, and the processes of academic entrepreneurship supported by digital technologies.
164 citations