The Research Challenge

Conventional Research Model
The conventional academic publishing process typically involves developing a theoretical framework which leads to research questions regarding a particular area of concern. These research questions are answered by using an appropriate methodology, which includes empirical data collection and data analysis phases. The outputs from this process tend to produce insights or findings regarding the area of concern and contributions to the declared theoretical framework. The quality of these outputs is demonstrated through publishing in peer-reviewed conference proceedings or journals. The challenge for successful academics is to manage this whole process alongside their often increasing teaching and administration responsibilities. Typical academics work with doctoral students who may carry out data collection and data analysis in order to develop their own academic skills and publishing profiles. Postdoctoral researchers are a valuable resource and can make contributions to each element. Unfortunately postdoctoral researchers can be difficult to recruit and the research grants needed are often difficult to achieve.
The Research Challenge
The challenge for many academics can be utilising limited resources, both time and finances, to conduct investigations which can lead to high quality publications.
The Research Engine Solution
The Research Engine seeks to support academics in meeting this challenge by providing an affordable range of services which support this publishing process. Central to these services is a unique combination of expertise and technology provided at highly competitive rates. The academic simply outlines the research questions and agrees an appropriate research method approach which results in a quotation. Once accepted the study is undertaken, transcribed, analysed and made available to the academic. Individual support is provided throughout the process.
Expertise
- experienced academic interview
- assistance in integrating research questions and findings
Technology
- digital audio & online data collection
- tools for qualitative textual & quantitative data analysis, including Wmatrix
