Modeling individual/group knowledge sharing barriers in Indian engineering industry – an integrated ISM, AHP and similarity coefficient approach

Sharma, Bhupendra Prakash; Singh, Monika

doi:10.1080/17509653.2013.812335

Cited by 6 publications

(6 citation statements)

References 39 publications

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“…Extensive research in the later years, especially in the Indian context, has been conducted to gain a broader insight into the concept and related aspects (Sharma, 2011, 2013), its evolution (Sharma, 2008) and its measurement (Sharma, 2012). Emotional intelligence is particularly relevant in the Indian context as emotions and bonds reign supreme and go beyond the rational concept to adopt an integrated perspective (Sharma, 2012). It virtually impacts all aspects of management across all industries, as suggested by a study on 400 managers from diverse industries (Sharma, 2006a, 2007b).…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling Enhancement of Team Emotional Intelligence

Kaur

Shri

Mital

2016

Vision: The Journal of Business Perspective

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This article aims to review the concept of team emotional intelligence (TEI) and propose a conceptual model for its enhancement. It seeks to analyze the past literature on TEI and attempts to identify and derive a relationship between different variables that influence it. The technique of interpretive structural modelling (ISM) has been used to identify the strongest and weakest drivers of TEI. The relationship between the individual- and team-level variables was established to develop a theoretical model for enhancement of TEI. The model will help organizations to focus on the right variables to enhance TEI, thus producing effective teams and efficient results. The article adds a new dimension to the approach of TEI by proposing a model for enhancing it. It also studies the different variables of TEI at individual and team levels and their interrelationships, which have not yet been explored extensively.

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Section: Literature Reviewmentioning

confidence: 99%

Modelling Enhancement of Team Emotional Intelligence

Kaur

Shri

Mital

2016

Vision: The Journal of Business Perspective

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“…Area in which ISM has been applied [Patil et al, 2016] Knowledge management implementation in Indian automobile ancillary industries [Taghizadeh, Shokri, 2015] Knowledge management from the viewpoint of social capital [Sharma, Singh, 2013] Knowledge sharing barriers: an integrated approach to ISM and AHP [Kanungo, 2009] Evaluating IT effectiveness [Kant, Singh, 2008] Knowledge management implementation -Modeling the barriers [Singh et al, 2003] Knowledge management in engineering industries [Sharma, Gupta, 1995] The objectives of waste management in India [Mandal, Deshmukh, 1994] Vendor selection criteria [Saxena, Vrat, 1992] Hierarchy and classification of program plan elements [Hawthorne, Sage, 1975] Higher education program planning [Back et al, 2005;Cross, Baird, 2000;Jennex, Olfman, 2001 2 Knowledge [Back et al, 2005;Leonard, 2006;Miles, Snow, 1986;Alkhuraiji et al, 2014;Singh et al, 2003] 3 Culture [Alavi, Leidner, 1999;Back et al, 2005;Barna, 2003;Davenport et al, 1998;Jennex, Olfman, 2001;Sage, Rouse, 1999;Yu et al, 2004;Zahra et al, 2007;Alkhuraiji et al, 2016;Alkhuraiji et al, 2014;Holtshouse et al, 2013;Singh et al, 2003] 4 IT Infrastructures [Alavi, Leidner, 1999;Barna, 2003;Cross, Baird, 2000;Davenport et al, 1998;Ginsberg, Kambil, 1999;Jennex, Olfman, 2001;Sage, Rouse, 1999;…”

Section: Researcher(s)mentioning

confidence: 99%

Untitled

2018

Foresight and STI Governance

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Foresight and STI Governance is an international interdisciplinary peer-reviewed openaccess journal. It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision.

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Section: Researcher(s)mentioning

confidence: 99%

“…These criteria have also been categorized according to their driver power and dependence. Sharma and Singh [Sharma, Singh, 2013] applied the ISM technique to develop a hierarchy of identified individual knowledge sharing barriers (IKSBs) according to their driving power. Singh et al applied ISM to modeling knowledge management in engineering industries, in this research, the important elements (also referred to as variables) for knowledge management implemented in engineering industries have been analyzed to obtain an interpretive structuring model, which shows the interrelationships of the variables and their levels; these variables also have been categorized according to their driving power and dependencies [Singh et al, 2003].…”

Section: Literature Review Interpretive Structural Modeling (Ism)mentioning

confidence: 99%

Modeling the Factors that Affect the Implementation of Knowledge Networks

Rezaeian¹,

Bagheri²

2018

Foresight and STI Governance

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K nowledge is increasingly recognized by organizations as an important source of lasting competitive advantage. Knowledge networks are a mechanism used to support knowledge sharing and creation. Variables important for implementing a knowledge network are described by numerous researchers, but few studies have been undertaken to understand the interaction between these variables and to develop a model of the hierarchy of variables in the knowledge network. This paper identifies a set of variables necessary for the operation of a knowledge network and then analyzes and ranks them using interpretive structural modeling (ISM).The study identified seven key factors affecting the implementation of knowledge networks and revealed contextual relationships among these variables. Some Keywords: knowledge network; knowledge management; interpretive structural modelling (ISM); driver variables; dependent variables. variables, the drivers, are little impacted by other factors, while others, the dependent variables, have limited potential to exert an influence on other factors and are furthermore determined by the drivers. The former includes such factors as an organization's environmental factors, managerial processes, IT infrastructure, while the latter encapsulates the resultant effects such as knowledge, culture, organizational structures, and communication processes.The use of ISM in the development of a hierarchy and the categorization of variables affecting the implementation of knowledge networks provides one with a better understanding of causal relationships between said variables, thus allowing one to identify which elements to concentrate upon and how trade-offs between variables should be managed.

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Modeling individual/group knowledge sharing barriers in Indian engineering industry – an integrated ISM, AHP and similarity coefficient approach

Cited by 6 publications

References 39 publications

Modelling Enhancement of Team Emotional Intelligence

Modelling Enhancement of Team Emotional Intelligence

Untitled

Modeling the Factors that Affect the Implementation of Knowledge Networks

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