scholarly journals Is more diverse always the better? External knowledge source clusters and innovation performance in Germany

2021 ◽  
pp. 1-19
Author(s):  
Maryam Hajialibeigi
Keyword(s):  
Innovation Performance ◽  
Knowledge Source ◽  
External Knowledge

Extending a Conventional Chatbot Knowledge Base to External Knowledge Source and Introducing User-Based Sessions for Diabetes Education

2019 ◽  
pp. 333-343
Author(s):  
Shafquat Hussain ◽  
Athula Ginige
Keyword(s):  
Knowledge Base ◽  
Local Knowledge ◽  
Health Informatics ◽  
Diabetes Management ◽  
Diabetes Education ◽  
Conversational Agents ◽  
Knowledge Source ◽  
Web Based ◽  
External Knowledge ◽  
User Query

Chatbots or conversational agents are computer programs that interact with users using natural language through artificial intelligence in a way that the user thinks he is having dialogue with a human. One of the main limits of chatbot technology is associated with the construction of its local knowledge base. A conventional chatbot knowledge base is typically hand constructed, which is a very time-consuming process and may take years to train a chatbot in a particular field of expertise. This chapter extends the knowledge base of a conventional chatbot beyond its local knowledge base to external knowledge source Wikipedia. This has been achieved by using Media Wiki API to retrieve information from Wikipedia when the chatbot's local knowledge base does not contain the answer to a user query. To make the conversation with the chatbot more meaningful with regards to the user's previous chat sessions, a user-specific session ability has been added to the chatbot architecture. An open source AIML web-based chatbot has been modified and programmed for use in the health informatics domain. The chatbot has been named VDMS – Virtual Diabetes Management System. It is intended to be used by the general community and diabetic patients for diabetes education and management.

Developing process and product innovation through internal and external knowledge sources in manufacturing Malaysian firms: the role of absorptive capacity

2020 ◽  
Vol 26 (5) ◽  
pp. 1021-1039 ◽  
Author(s):  
T. Ramayah ◽  
Pedro Soto-Acosta ◽  
Khoo Kah Kheng ◽  
Imran Mahmud
Keyword(s):  
Absorptive Capacity ◽  
Product Innovation ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Knowledge Sources ◽  
Manufacturing Companies ◽  
Organizational Capability ◽  
Data Set ◽  
Content Type ◽  
External Knowledge

PurposeFirms' knowledge-processing capabilities have a central role in achieving innovation performance and competitive advantage. Absorptive capacity capabilities and innovation are viewed as essential for enterprise success. Absorptive capacity is deemed as a highly important organizational capability to recognize value and assimilate both external and internal knowledge in order to enhance firm innovation. The aim of this study is to determine if innovation performance can be improved through absorptive capacity (knowledge acquisition, dissemination and utilization), when it is supported by internal (firm experience) and external knowledge sources (R&D cooperation and contracted R&D).Design/methodology/approachA quantitative methodology based on employing a structured questionnaire was used for data collection. The proposed research model and its associated hypotheses are tested by using Partial Least Squares (PLS) structural equation modelling (SEM) on a data set of 248 manufacturing companies located in the Northern Region of Malaysia.FindingsResults showed that firms' experience is significantly related to absorptive capacity, while for R&D cooperation and contracted R&D findings were mixed. In addition, absorptive capacity was found as a strong predictor of innovation performance.Originality/valueOne of the defining features of competition in many industries has been the extremely rapid pace of technological change, marked by a continuous stream of innovations. Manufacturing firms, therefore, face the challenge of nurturing existing knowledge and developing novel knowledge in order to create new business opportunities. This study makes valuable contributions with regard to understanding the behavioural of manufacturing firms towards process and product innovation.

scholarly journals Improving Innovation Performance by Convergence in Open Innovation: Evidence from Software Firms in Sri Lanka

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
S.R. Yapa ◽  
R. Senathiraja ◽  
I. Kauranen
Keyword(s):  
Sri Lanka ◽  
Empirical Data ◽  
Open Innovation ◽  
Research Study ◽  
Innovation Performance ◽  
Popular Approach ◽  
Extant Literature ◽  
External Knowledge ◽  
Software Firms

Open innovation, which encourages firms to use external knowledge and external partners to accelerate innovation, has become a popular approach among organisations globally. Researchers have highlighted multiple benefits that open innovation offers. Extant literature often discusses factors of open innovation that increase innovation performance. However, open innovation does not always bring higher innovation performance and reasons for this are not adequately addressed in the existing literature. The objective of this research study is to increase understanding of factors that can hinder innovation performance in open innovation implementations. Special attention has given to convergence. In this case, convergence refers to alignment and coordination between innovation partner firms. The empirical data for this research study will be gathered from software firms in Sri Lanka. The background for this study is the software firms in Sri Lanka which have not reached the expectation that have been placed on them.

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