Clustering employees on the basis of their cognitive and emotional knowledge and analysing their exploratory and exploitative innovations: a case study in a service company

Moshabaki, Asghar; Dabestani, Reza; Saljoughian, Mohammad

doi:10.1504/ijbir.2013.056741

Cited by 5 publications

(6 citation statements)

References 36 publications

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“…Therefore, one of the major concerns of managers is to find practical ways of implementing their theories or empirical evidence to better ways of managing knowledge and improving their innovation (Moshabaki et al, 2013). In modern literature on innovation management, knowledge has been addressed as a critical resource, and research and innovation as firms' core competencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Determining factors influencing radical and incremental innovation with a case study in the petrochemical industry

Shahin

Barati

Dabestani

et al. 2017

IJBIR

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Abstract:The purpose of this research is to prioritise factors influencing radical and incremental innovation. The research sample included 50 managers of Bandar Imam Mahshahr Petrochemical Company. To analyse the data, stage regression has been used. Findings indicate that variables like communication, new technological knowledge, repetition and exercise have the greatest impact on performing activities and accessing national and regional systems to promote radical and incremental innovation.

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Section: Literature Reviewmentioning

confidence: 99%

Determining factors influencing radical and incremental innovation with a case study in the petrochemical industry

Shahin

Barati

Dabestani

et al. 2017

IJBIR

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“…Van den Hooff et al (2012) repeated the tacit-explicit dichotomy in their definition of knowledge sharing and added that this exchange process jointly create new knowledge. By definition, explicit knowledge is 'systematic, published, codified and formal', whereas tacit knowledge is 'highly personal and difficult to articulate' (Moshabaki et al, 2013). Sharing explicit knowledge can be performed by information technology, but tacit knowledge sharing requires social interaction, as well (Yang and Farn, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Cluster Analysis is defined as 'the art of finding groups in data' (Kaufman and Rousseeuw, 2009). This tool is capable of realizing typologies or classifications of the subject as well as evaluating the hypothesis for the clusters (Allameh et al, 2013;Moshabaki et al, 2013). Simply put, cluster analysis identifies the subjects that are similar to one another with regard two or more variables.…”

Section: Cluster Analysismentioning

confidence: 99%

The Relationship between Total Quality Management Critical Success Factors and Knowledge Sharing in a Service Industry

Dabestani

Taghavi

Saljoughian

2014

Management and Labour Studies

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Total quality management (TQM), its components, techniques and principles are extensively accepted by scholars as a comprehensive philosophy for improving organizational performance (OP). Moreover, findings suggest that a prerequisite for successfully implementing TQM is exchanging knowledge in the organization. However, the number of studies addressing the mentioned issue is limited. Also, the nature of knowledge and its interactions with TQM are not properly investigated. Current study investigates the role of employees' different forms of knowledge sharing appreciation in their tendency to use TQM critical success factors (CSFs). In order to do so, knowledge sharing was divided into two categories of explicit and tacit, and the employees of the IT department of one of the largest companies in Middle East were selected and grouped based on their knowledge sharing characteristics. Further, ten categories were identified for TQM CSFs, and the employees' appreciation of CSFs were measured. The data were gathered through two questionnaires. Finally, the subjects were plotted and grouped using Tacit-Explicit Analysis. The results indicated that while both Tacit and Explicit knowledge sharing positively correlates with CSF appreciation, a simultaneous increase in both types can bear much fruitful positive results.

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“…For instance, the work of Moshabaki and others explored the ways of clustering employees based on survey data to see how employees of a service company deal with innovations. Narb analysis can help to go beyond clustering and demonstrate the innovation metrics for individuals to better manage a person's innovation capabilities (Moshabaki et al, 2013). When connected with the ease of longitudinal analysis, this analysis at the individual level can also demonstrate how the narratives of an individual change with time.…”

Section: Discussionmentioning

confidence: 99%

Using narbs to create narrative maps from unstructured Big Data: a case study

Mitra¹,

Mamani

2014

IJLEG

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Abstract:There is an increasing availability of unstructured textual data in the depositories of big databases that are constantly produced and updated. Such unstructured data, such as status updates on social media, play the role of narrative bits -narbs -in creating specific stories about an individual, group or institution. A selection of narbs emanating from Egypt following the Arab Spring are analysed using the theoretical foundation of the narrative paradigm to demonstrate how analytic protocols adapted from latent semantic analysis and natural language programming can be used to extract narrative categories and maps showing the relationship between the categories which together tell a story based on the narbs scraped and harvested from databases.Keywords: narb; Arab Spring; attitude map; big data.Reference to this paper should be made as follows: Mitra, A. and Mamani, S. (2014) 'Using narbs to create narrative maps from unstructured Big Data: a case study ', Int. J. Logistics Economics and Globalisation, Vol. 6, No. 1, Biographical notes: Ananda Mitra is Professor of Communication at Wake Forest University teaching courses on new media, research methodology, and India. His publications include a ten-volume series on digital technology and its social impact, and a book about the ways in which new digital technologies are increasingly alienated from the users, a book on the cultural issues surrounding the use of social media and two books on research methodology. He has published nearly 100 journal articles, and presented papers at numerous conferences all over the world. He is the inventor of the concept of 'narbs' that is used in this essay.Sanjay Mamani is an Information Technology (IT) professional managing the full life cycle of software and mobile technology solutions, including big data, design, implementation, delivery of software and mobile technology solutions. He specialises in developing complex, yet scalable IT solutions within framework of SDLC that improve efficiency, productivity, profitability with a demonstrated ability to strategise and map project scope, specifications, project timeline, and resources.

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Clustering employees on the basis of their cognitive and emotional knowledge and analysing their exploratory and exploitative innovations: a case study in a service company

Cited by 5 publications

References 36 publications

Determining factors influencing radical and incremental innovation with a case study in the petrochemical industry

Determining factors influencing radical and incremental innovation with a case study in the petrochemical industry

The Relationship between Total Quality Management Critical Success Factors and Knowledge Sharing in a Service Industry

Using narbs to create narrative maps from unstructured Big Data: a case study

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