An Inner-Enterprise Design Knowledge Flow Management Approach

2014 ◽  
Author(s):  
Zhinan Zhang ◽  
Qing Long ◽  
Yonghong Liu ◽  
Youbai Xie
Keyword(s):  
Management Practice ◽  
Knowledge Flow ◽  
Background Information ◽  
Design Knowledge ◽  
Management Approach ◽  
Organizational Boundaries ◽  
Flow Management ◽  
Large Enterprise ◽  
Reliable Knowledge ◽  
Large Enterprises

Design knowledge is distributed unevenly across organizational boundaries within large enterprises. Within this context, there are two main barriers to quick and reliable knowledge flow. The first is the organizational boundaries which will influence the efficiency of new design knowledge flow from when and where it is located to when and where it is need for application. The second is that one organization or sub-company of the same large enterprise often knows little about what kind of design knowledge or capability another one has. These barriers will prevent the flow of knowledge. Therefore, there is a need to develop methods and tools to improve the performance of knowledge flow within large enterprises. This paper first presents a brief introduction to the context and background information of our knowledge flow management practice in a large enterprise. Then the definition of key elements of design knowledge flow are introduced and analyzed. After that, we propose a service-based framework for the management of design knowledge flow; this framework focuses on organizing knowledge providers and developing a knowledge service platform. The proposed approach was primarily validated and verified in a large construction machinery enterprise. In addition, future work on improving the approach to knowledge flow management is also briefly discussed.

scholarly journals PREDICTING THE VARIABILITY OF COPPER AND ZINC IN LEAF AND SOIL OF OIL PALM PLANTED ON A 12 HA LAND USING GEOSPATIAL INFORMATION SYSTEM TECHNOLOGY

2015 ◽  
Vol 77 (24) ◽  
Author(s):  
Nur Shuhada Tajudin ◽  
Mohamed Hanafi Musa ◽  
Idris Abu Seman ◽  
Sivakumar Balasundram
Keyword(s):  
Information System ◽  
Oil Palm ◽  
Nutrient Management ◽  
Elaeis Guineensis ◽  
Management Practice ◽  
Zinc Content ◽  
Crop Productivity ◽  
Low Fertility ◽  
Management Approach ◽  
Geospatial Information

Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nutrients. Hence, to observe and predict the fertility status of the oil palm plantation area, a 12 hectare study site was used and a total of 60 geo-referenced soil and leaf samples were collected for determinations of pH and selected micronutrients of Cu and Zn content. The data were explored and mapped using geostatistic and Geographic Information System (GIS). The study area had acidic type of soil with pH ranged from 3.25-5.85. The analysis showed that almost 78% of the study area had high content of Cu in soil, while another 22% of area was low to moderate in Cu. However, Cu content in leaf were categorized as insufficient as 100% of the area was observed to have Cu less than 3 ppm. About 80% of the study area showed a low to moderate content of Zn in soil, while another 20% of area showed a high content of Zn. Zinc content in leaf ranged from optimum to high categories. However, this value did not reach the excess level of Zn (50 ppm). These results suggest that, this plantation area need a site specific management approach in order to increase its crop productivity in regards to nutrient management. As a preliminary recommendation, a zone management practice would be applied in future as it is beneficial in term of protecting the environment from excessive fertilizer.

scholarly journals Largest enterprises in the Czech Republic: A spatio-temporal perspective

2012 ◽  
Vol 60 (7) ◽  
pp. 329-336 ◽  
Author(s):  
Jana Sucháček ◽  
Petra Baránek
Keyword(s):  
Czech Republic ◽  
Geographical Location ◽  
Capital City ◽  
Location Factors ◽  
Spatial Profile ◽  
Temporal Perspective ◽  
Large Enterprise ◽  
The Czech Republic ◽  
Spatio Temporal ◽  
Large Enterprises

This article focuses on spatial structure of one hundred largest enterprises in the Czech Republic from evolutionary perspective. The location of large enterprise headquarters in the Czech Republic and its implications for country’s economic spatial profile and unevenly distributed economic power is discussed thoroughly. The whole analysis is pragmatically accomplished at the level of self-governmental NUTS III regions. As it is shown, intense concentration processes in the location of largest enterprise headquarters were observed during the analyzed period between 1995 and 2010. The capital city with its surroundings proved to be the winners of this process. Currently, the spatial pattern of afore mentioned head offices is basically stabilized. On the other hand, weight of large enterprises of many regions is almost negligible and subsequently, rank of individual regions can be rather volatile. Generally speaking, economic map of the Czech Republic is not entirely in compliance with country’s settlement system. Simultaneously, fundamental factors determining the location of large enterprise head offices are evaluated also from qualitative perspective. Traditional hard location factors, such as infrastructure, geographical location or agglomeration economies turned out to be decisive for location decision-making. Apart from Prague, headquarters of large enterprises tend to prefer other big towns in the country, such as Brno, Ostrava, Olomouc, Hradec Králové or Plzeň.

scholarly journals Breaking the Bottleneck: Conflicts Metamorphosis of Chure Landscape Management in Federal Nepal

2018 ◽  
Vol 16 (1) ◽  
pp. 71-86
Author(s):  
Bhola Bhattarai ◽  
Dipak Bishwokarma ◽  
Mathilde Legras
Keyword(s):  
Local Governments ◽  
Community Forestry ◽  
Management Practice ◽  
Landscape Management ◽  
Management Approach ◽  
Resource Exploitation ◽  
Management Options ◽  
Community Conflict ◽  
Environmental Protection Area ◽  
Protection Area

Chure forests, which is one of the youngest and most fragile landscapes of Nepal, continue to be degraded due to resource exploitation and conflict over its management. This region is considered to be the lifeline to down-stream communities - mainly for water - while inhabiting millions of poor and rural people that depend on natural resources - especially forests commons. Government initiatives to manage Chure have escalated contestations in the recent years. Its decision to declare Chure landscape as ‘Environmental Protection Area’ manifests a protection-centric management approach. This research scrutinises the genesis of contestation on Chure management utilising three–elements of conflicts described by Brown et al. (2017). It analyses power–relation to demonstrate potential implications on Chure landscape management as well as conflict resolution options, in the changed political context of federal Nepal. Our research reveals that all stakeholders are well aware of the continuous degradation of Chure landscape and have agreed on discovering the common locus of sustainable management. However, the state-community contestation still persists due to divergent understandings of degradation. Despite multiple strands of management options, contextualised community-based approach still appears to be an appropriate option to solve this persistent contestation, building on the practices of community forestry and historic failures of top-down, protection-centric management practice. The newly elected provincial and local governments could further facilitate a more effective management of Chure landscape through resolving the contentious state-community conflict.

Alignment of Knowledge Sharing Mechanism and Knowledge Node Positioning

2016 ◽  
pp. 318-337
Author(s):  
Mei-Tai Chu ◽  
Rajiv Khosla
Keyword(s):  
Knowledge Sharing ◽  
Knowledge Workers ◽  
Knowledge Flow ◽  
Attitudes And Beliefs ◽  
Collective Knowledge ◽  
Multinational Organization ◽  
Organizational Boundaries ◽  
Four Dimensions ◽  
Individual Knowledge ◽  
And Cluster Analysis

As the organizational memory in terms of collective knowledge evolves, how to construct an effective knowledge sharing mechanism to covert individual knowledge into collective knowledge becomes fairly demanding. CoPs approach is widely accepted as effective mechanism to facilitate knowledge sharing. Knowledge nodes in the context of knowledge flow, unlike workflow, can often transcend organizational boundaries and are distinct and different than workflow models. This paper aims to develop, implement, and analyze a CoPs Centered knowledge flow model in a multinational organization. This model is underpinned in a CoPs framework built around four expected performance including four dimensions and sixteen criteria as a comprehensive mechanism to intensify knowledge sharing effect. Next, this study clusters knowledge workers/nodes with common criteria (attitudes and beliefs) towards this model. These common attitudes and beliefs between two knowledge workers/nodes imply that knowledge sharing among them is likely to be more effective than between knowledge workers/nodes with dissimilar attitudes and beliefs. Fuzzy Multi-Criteria Decision Making MCDM) and cluster analysis techniques are adopted as research methods. A Dynamic knowledge flow activity analysis model is also defined as part of future work.

Reusing the Inter-Organizational Knowledge to Support Organizational Knowledge Management Process

2010 ◽  
pp. 142-161
Author(s):  
Nelson K. Y. Leung ◽  
Sim Kim Lau ◽  
Joshua Fan
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Management Practice ◽  
Organizational Knowledge ◽  
Knowledge Network ◽  
Management Process ◽  
Business Networks ◽  
Knowledge Management Practice ◽  
Organizational Boundaries ◽  
Management Approaches

Various types of Knowledge Management approaches have been developed that only focus on managing organizational knowledge. These approaches are inadequate because employees often need to access knowledge from external knowledge sources in order to complete their works. Therefore, a new inter-organizational Knowledge Management practice is required to enhance knowledge sharing across organizational boundaries in their business networks. In this chapter, an ontology-based Inter-organizational knowledge Network that incorporates ontology mediation is developed so that heterogeneity of knowledge semantic in the ontologies could be reconciled. The reconciled inter-organizational knowledge could be reused to support organizational Knowledge Management process semi- or automatically. The authors also investigate the application of ontology mediation that provides mechanisms of reconciling inter-organizational knowledge in the network.

A Goal-Driven Risk Management Approach to Support Security and Privacy Analysis of Cloud-Based System

2013 ◽  
pp. 97-122 ◽  
Author(s):  
Shareeful Islam ◽  
Haralambos Mouratidis ◽  
Edgar R. Weippl
Keyword(s):  
Risk Management ◽  
Management Practice ◽  
Cloud Service ◽  
Security And Privacy ◽  
Management Approach ◽  
Industrial Case Study ◽  
Share Data ◽  
Potential Risk Factors ◽  
Expected Benefits ◽  
The Many

Cloud Computing is a rapidly evolving paradigm that is radically changing the way humans use their computers. Despite the many advantages, such as economic benefit, a rapid elastic resource pool, and on-demand service, the paradigm also creates challenges for both users and providers. There are issues, such as unauthorized access, loss of privacy, data replication, and regulatory violation that require adequate attention. A lack of appropriate solutions to such challenges might cause risks, which may outweigh the expected benefits of using the paradigm. In order to address the challenges and associated risks, a systematic risk management practice is necessary that guides users to analyze both benefits and risks related to cloud based systems. In this chapter the authors propose a goal-driven risk management modeling (GSRM) framework to assess and manage risks that supports analysis from the early stages of the cloud-based systems development. The approach explicitly identifies the goals that the system must fulfill and the potential risk factors that obstruct the goals so that suitable control actions can be identified to control such risks. The authors provide an illustrative example of the application of the proposed approach in an industrial case study where a cloud service is deployed to share data amongst project partners.

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