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Digital transformation (DT) is the process of adoption and implementation of digital technology [1] [2] [3] by an organization in order to create new or modify existing products, services and operations by the means of translating business processes into a digital format.
Business and management research is a systematic inquiry that helps to solve business problems and contributes to management knowledge. It Is an applied research. Four factors (Easterby-Smith, 2008) combine to make business and management a distinctive focus for research : Transdiscipline approach
The term "Digital Firm" originated, as a concept in a series of Management Information Systems (MIS) books authored by Kenneth C. Laudon. [1] It provides a new way to describe organizations that operate differently than the traditional brick and mortar business as a result of broad sweeping changes in technology and global markets.
The term digital economy came into use during the early 1990s. For example, many academic papers were published by New York University’s Center for Digital Economy Research. The term was the title of Don Tapscott's 1995 book, The Digital Economy: Promise and Peril in the Age of Networked Intelligence.
The concept of Digital Business Ecosystem was put forward in 2002 by a group of European researchers and practitioners, including Francesco Nachira, Paolo Dini and Andrea Nicolai, who applied the general notion of digital ecosystems to model the process of adoption and development of ICT-based products and services in competitive, highly fragmented markets like the European one [8] [9].
[2] Others describe Business Transformation as "the process of fundamentally changing the systems, processes, people and technology across a whole business or business unit. As such, a business transformation project is likely to include any number of change management projects, each focused on an individual process, system, technology, team or ...
Success is not a requirement and some business can be disruptive but fail; New firm's business model differs significantly from incumbent [19] Christensen continues to develop and refine the theory and has accepted that not all examples of disruptive innovation perfectly fit into his theory.
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...