Designing and Implementing an Innovation Management System in Young Academic Institutions Using Agile Methodology

2015 ◽  
pp. 17-35
Author(s):  
Sachin Ahuja ◽  
Archana Mantri
Keyword(s):  
Management System ◽  
Innovation Management ◽  
Social Science Research ◽  
Science Research ◽  
Commercial Application ◽  
Academic Institutions ◽  
Agile Methodology ◽  
Technology Innovations ◽  
Agile Methodologies ◽  
Innovation And Technology

This chapter proposes the use of agile methodology in designing the innovation management system in young academic institutes. Technology innovations from most universities and research institutes originate out of chaos. As a result, it is difficult to associate structure to its management. While there have been many social science research methodology based studies on this subject under the broad umbrella of “Innovation and Technology Management”, there is usually an absence of well defined process to help young academic institutions to manage their intellectual property better. There is a strongly desired need to associate a clearly articulated structure for translation of ideas into technology innovations that will help young academic institutes to inculcate research in students and faculties and would help identify the best commercial application of technology innovations. Agile methodologies are best suited to be adopted in the academic scenario as rapidly changing environment of academic institutes can be easily handled using agile methodology. The aim of this chapter is to produce an evolutionary advance practical innovation management process for academic institutes out of this chaos to inculcate research in students and faculties using agile methodologies.

Recovering Meaning by Reforming Organizations and Institutions

2017 ◽  
Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen
Keyword(s):  
Social Science ◽  
Major Part ◽  
Social Science Research ◽  
Science Research ◽  
Academic Institutions ◽  
Policy Makers ◽  
School Practices ◽  
University Departments

This chapter addresses what universities, university departments, and professional institutions can do to support the recovery of meaning in social science research. It examines how the practices of journals, publishers, conference organizers, workshops, and other research-related institutions can be reformed to this end. The chapter also looks at how departmental and school practices can be reformed. These include PhD training, other research-relevant educational matters, seminars, workshops, and promotion. The chapter argues that it is academics themselves, and in particular senior academics, who are generally in control as deans, departmental heads, editors, conference organizers, and as policy makers. It is they who have the major part of the responsibility to initiate and sustain a fundamental re-orientation of academic institutions and policies towards research that is meaningful and relevant.

Ethical Data Mining and Social Science Data Exploration and Description

2013 ◽  
pp. 22-39
Author(s):  
Arabi U.
Keyword(s):  
Data Mining ◽  
Social Science ◽  
Teen Pregnancy ◽  
Social Indicators ◽  
Social Science Research ◽  
Science Research ◽  
Science Data ◽  
Technology Innovations ◽  
The Status ◽  
The Impact

As data mining is the process of discovering significant, valuable, and interesting relationships in large and complex volumes of data (especially in data-enriched areas of socio-economic domains and in this socio-economic aspect of a society), data mining applications essentially act as effective instruments for providing support for measuring socio-economic pattern in a society. Although social and ethical matters are nowadays concerns to the society of which people are the only elements, in the days of technology innovations, computers are being manipulated with programs to act more like people, and eventually several social and ethical matters come into focus related to computer programming, or artificial intelligence. Researchers from nearly every social science discipline have found themselves in the position of simultaneously evaluating many questions, testing many hypotheses, or comparing many point estimates. In program evaluation, this arises, for instance, when comparing the impact of several different policy interventions; comparing the status of social indicators like test scores, poverty rates, teen pregnancy rates etc. across multiple schools, states, or countries; examining whether treatment effects vary meaningfully across different sub groups of the population; or examining the impact of a program on many different outcomes. Hence, the relevance of positioning of this chapter in a book of ethical data mining applications for socio-economic development of a community, society, or country fits well as the ethical data mining in social science research is crucial as such data information is highly useful in testing many of the hypotheses of economic or socio-economic in nature.

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