Theoretical opportunities for rural innovation and entrepreneurship
research
- URL: http://arxiv.org/abs/2010.12031v1
- Date: Tue, 20 Oct 2020 20:42:03 GMT
- Title: Theoretical opportunities for rural innovation and entrepreneurship
research
- Authors: Sachithra Lokuge
- Abstract summary: Digital technologies have provided new opportunities and challenges for rural entrepreneurship and innovation.
This book chapter is an attempt to understand the existing literature on rural innovation and entrepreneurship in information systems discipline.
- Score: 0.0
- License: http://creativecommons.org/publicdomain/zero/1.0/
- Abstract: Even though rural entrepreneurship and innovation has been studied for
decades, the advent of social media, mobile, analytics, cloud computing and
internet of things - also referred as digital technologies - (Nambisan 2013,
Yoo et al. 2012) has provided new opportunities and challenges for this vast
discipline. As a result, we see new business models, new processes, products
and services offered using new digital technologies. Such changes challenge the
orthodox view of IT entrepreneurship and innovation, opening new avenues for
researches and challenges the existing theoretical understanding. This book
chapter is an attempt to understand the existing literature on rural innovation
and entrepreneurship in information systems discipline and identify
opportunities for rural entrepreneurship and innovation in the digital era.
Related papers
- Contemporary Software Modernization: Perspectives and Challenges to Deal with Legacy Systems [48.33168695898682]
"Software modernization" emerged as a research topic in the early 2000s.
Despite the large amount of work available in the literature, there are significant limitations.
arXiv Detail & Related papers (2024-07-04T15:49:52Z) - Mechanistic Neural Networks for Scientific Machine Learning [58.99592521721158]
We present Mechanistic Neural Networks, a neural network design for machine learning applications in the sciences.
It incorporates a new Mechanistic Block in standard architectures to explicitly learn governing differential equations as representations.
Central to our approach is a novel Relaxed Linear Programming solver (NeuRLP) inspired by a technique that reduces solving linear ODEs to solving linear programs.
arXiv Detail & Related papers (2024-02-20T15:23:24Z) - Machine Unlearning: A Survey [56.79152190680552]
A special need has arisen where, due to privacy, usability, and/or the right to be forgotten, information about some specific samples needs to be removed from a model, called machine unlearning.
This emerging technology has drawn significant interest from both academics and industry due to its innovation and practicality.
No study has analyzed this complex topic or compared the feasibility of existing unlearning solutions in different kinds of scenarios.
The survey concludes by highlighting some of the outstanding issues with unlearning techniques, along with some feasible directions for new research opportunities.
arXiv Detail & Related papers (2023-06-06T10:18:36Z) - Towards a Taxonomy of Industrial Challenges and Enabling Technologies in
Industry 4.0 [0.0]
This article proposes a mixed approach of humanistic and engineering techniques applied to the technological and enterprise fields.
The study's results are represented by a taxonomy in which industrial challenges and I4.0-focused technologies are categorized and connected.
This taxonomy also formed the basis for creating a public web platform where industrial practitioners can identify candidate solutions for an industrial challenge.
arXiv Detail & Related papers (2022-11-29T19:52:36Z) - Towards Data-and Knowledge-Driven Artificial Intelligence: A Survey on Neuro-Symbolic Computing [73.0977635031713]
Neural-symbolic computing (NeSy) has been an active research area of Artificial Intelligence (AI) for many years.
NeSy shows promise of reconciling the advantages of reasoning and interpretability of symbolic representation and robust learning in neural networks.
arXiv Detail & Related papers (2022-10-28T04:38:10Z) - The language and social behavior of innovators [0.0]
We analyze about 38,000 posts available in the intranet forum of a large multinational company.
We find that innovators write more, use a more complex language, introduce new concepts/ideas, and use positive but factual-based language.
arXiv Detail & Related papers (2022-09-20T07:01:25Z) - Foundations and Recent Trends in Multimodal Machine Learning:
Principles, Challenges, and Open Questions [68.6358773622615]
This paper provides an overview of the computational and theoretical foundations of multimodal machine learning.
We propose a taxonomy of 6 core technical challenges: representation, alignment, reasoning, generation, transference, and quantification.
Recent technical achievements will be presented through the lens of this taxonomy, allowing researchers to understand the similarities and differences across new approaches.
arXiv Detail & Related papers (2022-09-07T19:21:19Z) - Introduction to the Artificial Intelligence that can be applied to the
Network Automation Journey [68.8204255655161]
The "Intent-Based Networking - Concepts and Definitions" document describes the different parts of the ecosystem that could be involved in NetDevOps.
The recognize, generate intent, translate and refine features need a new way to implement algorithms.
arXiv Detail & Related papers (2022-04-02T08:12:08Z) - Data-Driven Innovation: What Is It [2.28438857884398]
This paper defines and crystalizes "data-driven innovation" as a formal innovation process paradigm.
It presents a process-based taxonomy of different data-driven innovation approaches.
I recommend the strategies and actions for innovators, companies, R&D organizations, and governments to enact data-driven innovation.
arXiv Detail & Related papers (2022-01-19T18:04:22Z) - A New Innovation Concept on End user Contextual and Behavioural
Perspectives [0.0]
The phenomenon of innovation has been shifting away from focusing on tangible to intangible modernization with its vitalizing context.
This study proposes a new concept that will act as an overarching descriptor of innovation types.
arXiv Detail & Related papers (2021-10-09T10:45:10Z) - Enterprise System Lifecycle-wide Innovation [0.0]
This study forms conceptual bridge between innovation and enterprise systems.
We introduce Continuous Restrained Innovation (CRI) as a new type of innovation specific to ES.
arXiv Detail & Related papers (2020-06-18T02:16:10Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.