Knowledge Management Competence and ISD Vendor Innovativeness in Turbulent Markets

• URL: http://arxiv.org/abs/2011.09840v1
• Date: Mon, 16 Nov 2020 01:07:30 GMT
• Title: Knowledge Management Competence and ISD Vendor Innovativeness in Turbulent Markets
• Authors: Sachithra Lokuge and Maduka Subasinghage
• Abstract summary: Rapid changes in the market and technology landscape may exert an additional pressure on the employees. This research conceptualises a model that investigates this tenacious relationship between knowledge management competence and innovativeness. Following a mixed method approach, this research expects to provide guidance for ISD-outsourcing vendors to manage innovation expectations.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Continuous changes in the technology and the business landscape place high strain on managing knowledge in organisations. Prior researchers highlight a positive connotation with knowledge management competence and organisational innovativeness in a turbulent environment. However, the rapid changes in the market and technology landscape may exert an additional pressure on the employees and such pressures may ultimately hinder organisational innovativeness. Drawing on knowledge management and innovation literature, this research conceptualises a model that investigates this tenacious relationship between knowledge management competence and innovativeness specifically in turbulent dynamic markets, considering information systems development (ISD)-outsourcing as the context. Following a mixed method approach, this research expects to provide guidance for ISD-outsourcing vendors to manage innovation expectations, knowledge management process and performance of the employees in dynamic market conditions.

Related papers

• The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint) [0.0]
  The study applies the Knowledge Spillover Theory of Entrepreneurship to understand the effects of AI on knowledge spillover, gen-eration and application. Results show that GenAI has a positive impact on important elements of the Knowledge Spillover Theory of Entrepeneurship.
  arXiv  Detail & Related papers  (2024-09-23T18:25:49Z)
• WESE: Weak Exploration to Strong Exploitation for LLM Agents [95.6720931773781]
  This paper proposes a novel approach, Weak Exploration to Strong Exploitation (WESE) to enhance LLM agents in solving open-world interactive tasks. WESE involves decoupling the exploration and exploitation process, employing a cost-effective weak agent to perform exploration tasks for global knowledge. A knowledge graph-based strategy is then introduced to store the acquired knowledge and extract task-relevant knowledge, enhancing the stronger agent in success rate and efficiency for the exploitation task.
  arXiv  Detail & Related papers  (2024-04-11T03:31:54Z)
• Transformational Outsourcing in IT Project Management [41.94295877935867]
  Transformational outsourcing is a strategic shift from traditional cost-focused outsourcing to a more profound and collaborative approach. It involves partnering with service providers to accomplish routine tasks and drive substantial organizational change and innovation. The report explores the pros and cons of IT outsourcing, emphasizing the benefits of cost savings, global talent access, scalability, and challenges related to quality, control, and data security.
  arXiv  Detail & Related papers  (2024-02-15T07:21:34Z)
• ALCUNA: Large Language Models Meet New Knowledge [48.30457202012987]
  We propose an approach that generates new knowledge by altering existing entity attributes and relationships. With KnowGen, we introduce a benchmark named ALCUNA to assess LLMs' abilities in knowledge understanding, differentiation, and association. We also explore the impact of entity similarity on the model's understanding of entity knowledge and the influence of contextual entities.
  arXiv  Detail & Related papers  (2023-10-23T11:40:05Z)
• A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics [46.025337523478825]
  Talent analytics has emerged as a promising field in applied data science for human resource management. Recent development of Big Data and Artificial Intelligence techniques have revolutionized human resource management.
  arXiv  Detail & Related papers  (2023-07-03T07:53:20Z)
• UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models [100.4659557650775]
  We propose a UNified knowledge inTERface, UNTER, to provide a unified perspective to exploit both structured knowledge and unstructured knowledge. With both forms of knowledge injected, UNTER gains continuous improvements on a series of knowledge-driven NLP tasks.
  arXiv  Detail & Related papers  (2023-05-02T17:33:28Z)
• Data-driven Innovation: Understanding the Direction for Future Research [0.0]
  We conduct a systematic and comprehensive review of the literature to understand the data-driven innovation phenomenon. The findings of this study benefit scholars in determining the gaps in the current body of knowledge as well as for practitioners to improve their data strategy.
  arXiv  Detail & Related papers  (2022-12-04T22:17:23Z)
• Kformer: Knowledge Injection in Transformer Feed-Forward Layers [107.71576133833148]
  We propose a novel knowledge fusion model, namely Kformer, which incorporates external knowledge through the feed-forward layer in Transformer. We empirically find that simply injecting knowledge into FFN can facilitate the pre-trained language model's ability and facilitate current knowledge fusion methods.
  arXiv  Detail & Related papers  (2022-01-15T03:00:27Z)
• Theoretical opportunities for rural innovation and entrepreneurship research [0.0]
  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.
  arXiv  Detail & Related papers  (2020-10-20T20:42:03Z)

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.