The Relationship of Knowledge Identification and Creation
with Leadership, Culture and Technology
--Mohnish Kumar
Knowledge Identification and Creation (KIC) is one of the main knowledge management dimensions which is quantified using the questionnaire developed by Maier and Moseley (2003). This paper tries to find out the relationship and impact of leadership, technology and cultural ethos on KIC. Data from 204 individuals was collected from six organizations. Principal component analysis and multiple regression analysis were applied to test the hypotheses. The theoretical and practical implications are also discussed. The organizational cultural ethos and leadership, along with the technology, influence KIC in a significant manner. Expectancy of a leader is considered negatively as pressure. A non-bossy leader with positive OCTAPACE, along with tailor-made IT services, helps in creating and identifying new knowledge. A non-bossy leader is well accepted by the employees of the surveyed organizations for better KIC. The collaboration and experimentation values need to be promoted along with tailor-made performance support system for improved KIC. The positive organizational cultural ethos of OCTAPACE, along with a good IT system, is a boon in this regard.
© 2014 IUP. All Rights Reserved.
Knowledge Sharing Practices and the Learning Organization:
A Study
--Emad Abu-Shanab, Maram Haddad and Michael B Knight
Knowledge sharing is an important aspect of knowledge management that contributes to enhancing organizational learning to face competition. This paper tries to explore and analyze the relationship between different variables like information technology infrastructure, supportive organizational policies, knowledge sharing motivation, knowledge sharing practices and ongoing organizational learning. Data was collected using a questionnaire from 59 employees of Orange Company, a major telecommunication company in Jordan, and was analyzed using descriptive and multiple regression techniques. The results indicate that there is a significant positive relationship between knowledge sharing practices and ongoing organizational learning. Firms need to emphasize the role of organizational learning in sustaining competitive advantage and furnish needed tools to encourage knowledge management practices. It is vital for organizations to set up an environment for social interaction as a means for knowledge sharing. © 2014 IUP. All Rights Reserved.
Quantitative Analysis of Compensatory Model:
The Impact of Shopping Malls on the City Structure
--Prathamesh Muzumdar
This study showcases the multi-attribute decision support methodology applied to analyze the impact of shopping malls on the city structure. The influence of shopping malls on the city is described as the sum of the effects of the quality of life, the neighborhood, the work of city transportation system and architectural and urban perception of the city. The influence of shopping mall is measured in the form of different attributes rated on a scale, and then rating summation is carried out using Compensatory Model to evaluate each attribute with respect to belief and actual impact. The main attributes are distinguished to measure the influence of shopping malls on the city structure. The weights of attributes are estimated from the data collected through an online survey. The initial rating for the attributes is done through surveys carried out among experts in the twin cities of Bloomington-Normal. Compensatory models/ multi-attribute model is used to evaluate high preference attitude towards ranking the attributes as per the weights estimated through the model. A quantitative analysis, using multiple regression analysis, is carried out to check the viability of the results calculated through compensatory model. A multivariate correlation analysis is carried out to showcase the interrelation of the attributes and how the change in one attribute showcases a change or stability in another attribute. Overall, the effect of shopping mall on the city structure are analyzed based on the factor of belief and final outcome. © 2014 IUP. All Rights Reserved.
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