scholarly journals User Acceptance Evaluation of a Gamified Knowledge Sharing Platform for Use in Industrial Environments

2019 ◽  
Vol 6 (2) ◽  
pp. 89-108 ◽  
Author(s):  
Stylianos Zikos ◽  
Maria Tsourma ◽  
Evdoxia E. Lithoxoidou ◽  
Anastasios Drosou ◽  
Dimosthenis Ioannidis ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Knowledge Integration ◽  
Knowledge Exchange ◽  
User Acceptance ◽  
Work Environments ◽  
Manufacturing Industries ◽  
Rule Based ◽  
Industrial Work ◽  
Motivation And Engagement ◽  
Industrial Environments

This study evaluates user acceptance of a gamification-enabled collaboration and knowledge sharing platform that has been developed for use by personnel in industrial work environments, aiming at increasing motivation for knowledge exchange. The platform has been evaluated at two manufacturing industries by two groups of users, workers and supervisors, with regard to five criteria: usability, knowledge integration, working experience, user acceptance and overall impact. Results showed that even though the ratings from both industries were positive on all criteria, there is room for improvement on user acceptance and knowledge integration. Driven by this fact, a rule-based adaptive gamification approach which exploits information about workers is proposed in order to further increase motivation and engagement. Based on feedback received from the evaluation, guidelines related to functionalities and design of a gamified collaboration platform are provided. These guidelines can be followed when implementing collaboration tools with gamification support for industrial environments.

Knowledge-Integration Model for Networked Manufacturing

2011 ◽  
Vol 314-316 ◽  
pp. 2027-2032
Author(s):  
Jiao Jian Liu ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen Bin Wang
Keyword(s):  
Decision Making ◽  
Correlation Analysis ◽  
Knowledge Sharing ◽  
Manufacturing Process ◽  
Knowledge Integration ◽  
Decision Making Process ◽  
Networked Manufacturing ◽  
Optimum Distribution ◽  
Integration Model ◽  
Key Technologies

In order to maximize knowledge sharing and reuse in networked manufacturing process and improve the rapidity and reliability of decision-making, a knowledge-integration model and its implementation methods are proposed in this paper. First, the requirement for knowledge integration in networked manufacturing is analyzed. On this basis, a knowledge-integration model is built, and then three key technologies are studied, namely knowledge representation and organization based on ontology, knowledge correlation analysis based on complex network and knowledge supply based on decision-making context. This model provides an effective way to realize the optimum distribution of knowledge in networked manufacturing process and to improve the efficiency of decision-making process.

scholarly journals Integrating supplier knowledge in new product development projects: decoupled and coupled approaches

2017 ◽  
Vol 21 (5) ◽  
pp. 1035-1052 ◽  
Author(s):  
David T. Rosell ◽  
Nicolette Lakemond ◽  
Lisa Melander
Keyword(s):  
Product Development ◽  
Knowledge Sharing ◽  
New Product Development ◽  
Knowledge Integration ◽  
New Product ◽  
Development Projects ◽  
Transfer Of Knowledge ◽  
Supplier Relationships ◽  
Content Type ◽  
Knowledge Intensive

Purpose The purpose of this paper is to explore and characterize knowledge integration approaches for integrating external knowledge of suppliers into new product development projects. Design/methodology/approach This paper is based on a multiple, in-depth case study of six product development projects at three knowledge-intensive manufacturing firms. Findings Firms make purposeful choices to devise knowledge integration approaches when working in collaborative buyer – supplier projects. The knowledge characteristics of the supplier input guide the choice of either coupling knowledge sharing and combining across firms or decoupling knowledge sharing (across firms) and knowledge combining (within firms). Research limitations/implications This study relies on a limited number of case studies and considers only one supplier relationship in each project. Further studies could examine the challenge of knowledge integration in buyer – supplier relationships in different contexts, i.e. in relation to innovation complexity and uncertainty. Practical implications Managers need to make choices when designing knowledge integration approaches in collaborative product development projects. The use of coupled and decoupled approaches can help balance requirements in terms of joint problem-solving across firms, the efficiency of knowledge integration and the risks of knowledge leakage. Originality/value The conceptualization of knowledge integration as knowledge sharing and knowledge combining extends existing perspectives on knowledge integration as either a transfer of knowledge or as revealing the presence of pertinent knowledge without entirely transmitting it. The findings point to the complexity of knowledge integration as a process influenced by knowledge characteristics, perspectives on knowledge, openness of firm boundaries and elements of knowledge sharing and combining.

Capture coproduction behavior in networking alumni communities: Progress from platform belongingness, knowledge sharing, and citizenship behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
My-Trinh Bui ◽  
Don Jyh-Fu Jeng
Keyword(s):  
Knowledge Sharing ◽  
Structural Equation ◽  
Knowledge Exchange ◽  
Citizenship Behavior ◽  
Equation Modeling ◽  
Collaboration Network ◽  
Conservation Of Resources ◽  
Content Type ◽  
Community Platforms ◽  
Relational Mechanism

Purpose The purpose of this study is to investigate coproduction behavior in networking alumni communities via the progress from platform belongingness, knowledge sharing and citizenship behavior. Alumni networking communities have emerged as valuable assets for conserving institutional resources, supporting members and contributing new resources for alumni-institutional professional development. However, the previous literature has not yet captured the explicit processes by which these contributions are made. Design/methodology/approach Data from 711 respondents selected from an alumni collaboration network were subjected to structural equation modeling analysis. Findings The study explored resource conservation (belongingness) as the primary relational mechanism for alumni to share their instrumental resources (knowledge sharing), supporting resources (citizenship behavior) and competent resources (coproduction behavior). Knowledge sharing and citizenship behavior act as intermediate agents to trigger coproduction behavior. The authors show how subjective norm, group norm and trust is regarded as a tool to reduce bonding intrusiveness (i.e. the intrusive side-effects of a bond) and moderate the indirect effect of belongingness on coproduction and the direct effect of citizenship on coproduction. Research limitations/implications By applying attachment theory, conservation of resources theory and digital platform networking perspectives, this study describes major implications for designing inspiring and compatible community platforms. Practical implications Guidance is provided for improving sustainable alumni communities through citizenship-sharing and coproduction behavior. Social implications Online alumni communities are regarded as resource conservators, which can result in valuable coproduction, via the sharing of knowledge, expertise and skillsets to create profit for a range of institutions and industries. Originality/value Alumni networking platforms encourage alumni cohesiveness, stimulate knowledge exchange and improve professionalism.

scholarly journals On cognitive preferences and the plausibility of rule-based models

2019 ◽  
Vol 109 (4) ◽  
pp. 853-898 ◽  
Author(s):  
Johannes Fürnkranz ◽  
Tomáš Kliegr ◽  
Heiko Paulheim
Keyword(s):  
Cognitive Biases ◽  
User Acceptance ◽  
Conjunction Fallacy ◽  
Recognition Heuristic ◽  
Rule Based ◽  
Discriminative Models ◽  
Weak Preference ◽  
Simple Rules ◽  
Rule Sets ◽  
Cognitive Preferences

AbstractIt is conventional wisdom in machine learning and data mining that logical models such as rule sets are more interpretable than other models, and that among such rule-based models, simpler models are more interpretable than more complex ones. In this position paper, we question this latter assumption by focusing on one particular aspect of interpretability, namely the plausibility of models. Roughly speaking, we equate the plausibility of a model with the likeliness that a user accepts it as an explanation for a prediction. In particular, we argue that—all other things being equal—longer explanations may be more convincing than shorter ones, and that the predominant bias for shorter models, which is typically necessary for learning powerful discriminative models, may not be suitable when it comes to user acceptance of the learned models. To that end, we first recapitulate evidence for and against this postulate, and then report the results of an evaluation in a crowdsourcing study based on about 3000 judgments. The results do not reveal a strong preference for simple rules, whereas we can observe a weak preference for longer rules in some domains. We then relate these results to well-known cognitive biases such as the conjunction fallacy, the representative heuristic, or the recognition heuristic, and investigate their relation to rule length and plausibility.

The Use of Virtual Environments for Knowledge Sharing in Distance Learning Education, with a View to Informing Industry

2020 ◽  
pp. 588-602
Author(s):  
Olinkha Gustafson-Pearce ◽  
Susan B. Grant
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Virtual Worlds ◽  
Communication Systems ◽  
Knowledge Exchange ◽  
Internal Communication ◽  
Organizational Boundaries ◽  
New Ideas ◽  
Social Media Tools

As social media and virtual world technology become increasingly commonplace, this paper considers how educators and industry can leverage the tools and systems of these mediums, to enable engagement and knowledge transfer between parties, with a view to informing industry from the lessons learnt. Virtual Worlds have become an extremely powerful phenomenon with millions of users. Businesses are only now beginning to acknowledge the benefits of using virtual worlds to enhance employee and supplier collaboration and to support new ideas and innovation through knowledge sharing across functions and organizational boundaries. Many businesses are still trying to understand the various implications of integrating internal communication systems with social media tools and private collaboration and networking platforms. The KNOWNET project (an EC funded Marie Curie IAPP) seeks to assess the value of virtual worlds and social networking for knowledge exchange across supply chains.

scholarly journals Profiling mental health professionals in relation to perceived interprofessional collaboration on teams

2019 ◽  
Vol 7 ◽  
pp. 205031211984146
Author(s):  
Nicolas Ndibu Muntu Keba Kebe ◽  
François Chiocchio ◽  
Jean-Marie Bamvita ◽  
Marie-Josée Fleury
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Knowledge Sharing ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Knowledge Integration ◽  
Interprofessional Collaboration ◽  
Professional Role ◽  
Mutual Trust ◽  
Participation In Decision Making

Objectives: This study aims at identifying profiles of mental health professionals based on individual, interactional, structural and professional role characteristics related to interprofessional collaboration. Methods: Mental health professionals ( N = 315) working in primary health care and specialized mental health teams in four Quebec local service networks completed a self-administered questionnaire eliciting information on individual, interactional, structural and professional role characteristics. Results: Cluster analysis identified four profiles of mental health professionals. Those with the highest interprofessional collaboration scores comprised two profiles labeled “highly collaborative female professionals with fewer conflicts and more knowledge sharing and integration” and “highly collaborative male professionals with fewer conflicts, more participation in decision-making and mutual trust.” By contrast, the profile labeled “slightly collaborative professionals with high seniority, many conflicts and less knowledge integration and mutual trust” had the lowest interprofessional collaboration score. Another profile positioned between these groups was identified as “moderately collaborative female psychosocial professionals with less participation in decision-making.” Discussion and conclusion: Organizational support, participation in decision-making, knowledge sharing, knowledge integration, mutual trust, affective commitment toward the team, professional diversity and belief in the benefits of interdisciplinary collaboration were features associated with profiles where perceived interprofessional collaboration was higher. These team qualities should be strongly encouraged by mental health managers for improving interprofessional collaboration. Training is also needed to promote improvement in interprofessional collaboration competencies.

scholarly journals Business networking in organisationally thin regions: a case study on network brokers, SMEs and knowledge-sharing

2020 ◽  
Vol 27 (5) ◽  
pp. 839-861 ◽  
Author(s):  
Birgit Leick ◽  
Susanne Gretzinger
Keyword(s):  
Public Policy ◽  
Knowledge Sharing ◽  
Knowledge Exchange ◽  
Business Networks ◽  
Content Type ◽  
Different Types ◽  
Business Networking ◽  
Practical Implications

PurposeResearch on business networks in organisationally thin regions, which are characterised by a low density and quality of business networks, is still in its infancy, while the facilitation of business networks receives increasing interest. The present paper combines both perspectives by investigating how different types of network brokers facilitate business networking and knowledge-sharing in organisationally thin regions.Design/methodology/approachBurt's theory on brokers in social networks is applied to knowledge-sharing in business networks for organisational thinness as context. A qualitative case study represents the empirical basis that describes network brokers from various domains in three different German case regions, which are characterised by organisational thinness.FindingsThe network brokers studied facilitate different types of business networks, and they use various levers to increase knowledge-sharing among companies in business networks. Two broker types emerge, private business-driven versus public policy-driven network brokers with distinct approaches to the facilitation of business networking and knowledge-sharing and different limitations due to organisational thinness.Practical implicationsCompanies, notably SMEs, in contexts characterised by low networking density and quality may benefit from various types of network brokers that foster business networking and instigate knowledge exchange. Public policy should embed activities of private brokers in existing SME assistance programmes to increase the quantity and quality of business networks.Originality/valueNetwork facilitation in regions with weaknesses in their endowment with industry clusters, business networks and innovative knowledge exchange is under-explored, and this paper contributes to shedding light on this topic with a case study.

Understanding knowledge exchange processes among diverse users of coworking-spaces

2019 ◽  
Vol 23 (10) ◽  
pp. 2067-2085 ◽  
Author(s):  
Ricarda Bouncken ◽  
Muhammad Mahmood Aslam
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Knowledge Exchange ◽  
Practical Importance ◽  
Positive Outcomes ◽  
Content Type ◽  
Shared Spaces ◽  
Inductive Research ◽  
Coworking Spaces ◽  
Management Services

Purpose Coworking spaces use the idea of spatial co-location that improves communication and knowledge sharing among independent knowledge professionals. Fluid work structures and a sense of community can facilitate work satisfaction, creativity and entrepreneurship. Fundamentals to those positive outcomes are the knowledge sharing processes between users of coworking spaces. The purpose of this study is to explore the knowledge sharing processes in this setting where researchers still have very little understanding. Design/methodology/approach Based on an inductive research methodology, qualitative data were collected through observations and interviews with a variety of users (including freelancers, entrepreneurs and firms) incumbent in various coworking spaces in Germany. Findings Co-location of individuals in coworking spaces is first about physical proximity and second about socialization and collaboration opportunities, which then advance cognitive proximity. Thus, co-location can facilitate tacit knowledge exchange, ignite the social disembodiment of ideas, synthesize domain-related knowledge sharing and promote inter-domain learning. The institutionalization of knowledge management services will allow coworking spaces to increase these positive outcomes. Practical implications Findings of this study are interesting for managers of shared spaces and traditional firms that use spatial co-location. The authors propose institutionalized knowledge management services to enable multifaceted and multidisciplinary knowledge creation in organizations. Originality/value This paper sheds light on the role of spatial co-location in knowledge sharing processes among independent knowledge professionals in shared office spaces. Thereby, this study provides valuable insights into a phenomenon that has received little attention even though its practical importance is high.

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