Organizational Routines as Mechanisms for Knowledge Creation, Utilization, and Storage

Author(s):  
James M. Bloodgood
Author(s):  
Rodrigo Dos Santos Costa

In spite of a contemporary discussion about the management of knowledge and the deep use of technologies focused on architecture, organization and knowledge detection based on organization inner data analysis, as well as public data available on the internet, it is necessary a critic look above the organization knowledge creation processes even as the load of tacit knowledge there is in an organization. It is observed that the evolution of technologies, such as mobile computing, the web, besides the architecture of the computers and their ability of handling and storage data, has brought to the information economy or the age of knowledge, diverting focus on people, the central axis of organizational knowledge, and their ability to reason, infer, make decisions, and above them all the processes of knowledge creation focused on the collaborative solution of problems and generation of innovation based on the socialization of knowledge.


The main objective of the study was to examine the effect of knowledge management processes on organisational effectiveness in Nigerian deposit money banks. Specifically, the study examines knowledge creation, acquisition, sharing and storage and organisational effectiveness in Nigerian deposit money banks. The data for the study was generated through a questionnaire which yielded 359 valid responses and was determined scientifically using Krejcie & Morgan (1970) from selected Nigerian deposit money banks with their operational head offices in Lagos-Nigeria as the population of the study. The study adopted survey design and the validity results of KMO, and Bartletts test indicate that variables are highly significant, and principal component analysis was suitable (.837). The test-retest result of reliability reported a reliability index of 0.872. Multiple regressions with the aid of SPSS version 21 were used to test the formulated hypotheses. Findings of the study show that knowledge creation (32.3%), acquisition (62.1%), sharing (42.4%), and storage (46.2%) have a positive significant effect on organisational effectiveness. The study recommends among others that management of Nigerian deposit money banks should aptly designed and encourage knowledge processes in their banks since it constitutes a valuable intangible asset for creating and sustaining exceptional competitive advantages in the Nigerian banking industry. Keywords: Deposit Money Banks, Organisational Effectiveness, Knowledge Management Processes


2017 ◽  
Vol 19 (3) ◽  
pp. 24-41
Author(s):  
Mohamad Fauzan Noordin ◽  
Arfan Arshad ◽  
Roslina Othman

Being complex systematically, Knowledge Management (KM) has always been challenging in the healthcare industry (HCI) of developing countries like Pakistan due to gap in acquiring and implementing KM processes. Despite the fact that extensive data and related information is available, the Pakistani HCI has been facing a major challenge due to the absence of a sound and solid KM process framework. Hence, the existing healthcare information systems in Pakistan lack the ability to control and cater the diversified nature of new knowledge creation and innovation. Consequentially, it results in inefficient and ineffective organization of knowledge along with inability to properly utilize important resources that are used for decision making activities. In this study, the researchers present and suggest an integrated and inter-operable KM process framework that helps to streamline and integrate a KM process in a phased comportment that identifies, defines, analyzes, collects and manages knowledge along with its innovation, dissemination, sharing and storage in an appropriate way.


2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Hércules Antonio Do Prado ◽  
Paulo de Tarso Costa de Sousa ◽  
Eduardo Amadeu Moresi ◽  
Marcelo Ladeira

Knowledge Discovery in Databases (KDD), as any organizational process, is carried out beneath a Knowledge Management (KM) model adopted (even informally) by a corporation. KDD is grossly described in three steps: pre-processing, data mining, and post-processing. The latter is mainly related to the task of transforming in knowledge the patterns issued in the data mining step. On the other hand, KM comprises the following phases, in which knowledge is the subject of the actions: identification of abilities, acquisition, selection and validation, organization and storage, sharing, application, and creation. Although there are many overlaps between KDD and KM, one of them is broadly recognized: the point in which knowledge arises. This paper concerns a study aimed at clarifying relations between the overlapping areas of KDD and knowledge creation, in KM. The work is conducted by means of a case study using the data from the Electoral Court of the Federal District (ECFD), Brazil. The study was developed over a 1.717.000-citizens data set from which data mining models were built by applying algorithms from Weka. It was observed that, although the importance of Information Technology is well recognized in the KM realm, the techniques of KDD deserve a special place in the knowledge creation phase of KM. Moreover, beyond the overlap of post- processing and knowledge creation, other steps of KDD can contribute significantly to KM. An example is the fact that one important decision taken from the ECFD board was taken on the basis of a knowledge acquired from the pre-processing step of KDD.


Author(s):  
Markus C. Becker

Drawing on recent theory on organizational routines, this chapter presents an overview of the role of organizational routines for organizational learning. The chapter structures the discussion along the three processes of knowledge creation, retention, and transfer. To integrate insights from the relevant literature, the chapter uses the recent conceptualization of organizational routines as generative systems where rules and individual-level habits generate recurrent interaction patterns, which in turn shape rules and habits. In synthesizing knowledge on the role of organizational routines for organizational learning, the chapter also uses the possibilities offered by such a two-level framework with a generative level and a behavioral level to leverage the links between the two levels in an explanation.


Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


Author(s):  
John W. Roberts ◽  
E. R. Witkus

The isopod hepatopancreas, as exemplified by Oniscus ascellus. is comprised of four blind-ending diverticula. The regenerative cells at the tip of each diverticula differentiate into either club-shaped B-cells, which serve a secretory function, or into conoid S-cells, which serve in the absorption and storage of nutrients.The glandular B-cells begin producing secretory material with the development of rough endoplasmic reticulum during their process of maturation from the undifferentiated regenerative cells. Cytochemical and morphological data indicate that the hepatopancreas sequentially produces two types of secretory material within the large club-shaped cells. The production of the carbohydrate-like secretory product in immature cells seems to be phased out as the production of the osmiophilic secretion was phased in as the cell matured.


Author(s):  
J. M. Paque ◽  
R. Browning ◽  
P. L. King ◽  
P. Pianetta

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.


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