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Volume-3 Issue-5, August 2018, ISSN: 2394-0913 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.

Page No.

1.

Authors:

Sunderlal Surendran

Paper Title:

An Examination of Knowledge Management and Organizational Learning for Sustained Firm Performance

Abstract: Even though anecdotal verification and individual case analysis recommend that useful knowledge management (KM) proposals add to greater firm performance. On the other hand, quantitative empirical studies are limited, as well as whatever is available they are all established on insights of the survey with reference to the firms that were being considered. Furthermore, studies examining the query whether better KM performance can forecast finer market-based assessment do not exist. Yet the materialization of knowledge-based economies has laid significance on efficient management of knowledge. The successful management of knowledge has been portrayed as a decisive component for the organization in quest of ensuring sustainable planned competitive benefit. It can be established that knowledge management is a significant driver of organizational execution and a decisive tool for organizational endurance, competitiveness, and gainfulness. Consequently creating, dealing, sharing and using knowledge successfully is crucial for organizations to acquire full gain of the worth of knowledge. If organizations have to deal with knowledge efficaciously, consideration of three key factors becomes a must - people, processes, and technology. Quintessentially, to guarantee organization’s achievement, the focal point should be to link people, processes, and technology to leverage knowledge. 

Keywords: Knowledge Management; Knowledge Management Capabilities; Knowledge Management Process; Creative Organizational Learning; Organizational Performance, Firm Performance, Km, Knowledge Chain Theory, Knowledge Management, Organizational Learning, Management of Knowledge.

References:

  1. Gates, B. 1999. Business @ the Speed of Thought: Using a Digital Nervous System. New York: Warner Books, Inc.
  2. Babcock, P. 2004. Shedding light on knowledge management. HR Magazine 49(5) 46-50.
  3. Motsenigos, A., J. Young. 2002. KM in the U.S. Government Sector. KMWorld. http://www.kmworld.com/Articles/Editorial/Feature/KM-in-the-U.S.-government-sector-9397.aspx
  4. Edwards, J. S., M. Handzic, S. Carlssson, M. Nissen. 2003. Knowledge management research & practice: visions and directions. Knowledge Management Res. & Practice 1(1) 49-60.
  5. Chua, A.Y. K. (2009). The dark side of successful knowledge management initiatives. Journal of Knowledge Management, 13(4), 32-40.
  6. Jeon, S., Kim, Y. and Koh, J. (2011). An integrative model for knowledge sharing in communities-of-practice. Journal of Knowledge Management, 15(2), 251-269, doi:10.1108/13673271111119682
  7. Bosua, R. and Venkitachalam, K. (2013). Aligning strategies and processes in knowledge management: a framework. Journal of Knowledge Management, 17(3), 331-346, doi: 10.1108/JKM-10-2012-0323
  8. Kamhawi, E. M. (2012). Knowledge management fishbone: A standard framework of organizational enablers, Journal of Knowledge Management, 16(5), 808-828, doi:10.1108/13673271211262826Teece,
  9. F., Pisano, G. and Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533.
  10. Darroch’s, J. 2005. Knowledge management, innovation and firm performance. Knowledge Management 9(3) 101 – 115.
  11. GroÈnhaug, K. and Nordhaug, O. (1992). Strategy and competence in firms. European Management Journal, 10(4), 438-444.
  12. Epetimehin, F. and Ekundayo, O. (2011). Organizational knowledge management: survival strategy for Nigeria insurance industry. Interdisciplinary Review of Economics and Management, 1(2), 9-15.
  13. Drucker, P. F. (1999). Knowledge - Worker Productivity: The Biggest Challenge. California Management Review. 41(2), 79-94.
  14. Baloh, P., Desouza, K. C. and Paquette, S. (2011). The concept of knowledge. In: K. C. Desouza and S. Paquette (Eds.), Knowledge Management: An Introduction (pp. 35-71). New York: NY: Neal-Schuman Publishers, Inc.
  15. Sun, P. -T and Scott, J. L. (2005). An investigation of barriers to knowledge transfer. Journal of Knowledge Management, 9(2), 75-90, doi: 10.1108/13673270510590236
  16. Blackler, F. (1995). Knowledge, knowledge work, and organizations: An overview and interpretation. Organization Studies 16(6), 1021-1046.
  17. Hislop, D. (2013). Knowledge management in organizations: A critical introduction. 3rd Ed. UK: Oxford University Press.
  18. Strati, A. (2007). Sensible knowledge and practice-based learning. Management Learning, 38(1), 61-77.
  19. Yakhlef, A. (2010). The corporeality of practice-based learning. Organization Studies, 31(4), 409-430.
  20. Hibbard, J. (1997). Knowing what we know. Information week, 653, 20 October, 46-64.
  21. Martensson, M. (2000). A critical review of knowledge management as a management tool. Journal of Knowledge Management, 4(3), 204-216.
  22. Koenig, M. E. D. (2012). What is KM? Knowledge management explained. KM World, May, 2012. Retrieved Feb. 8, 2013 from http://www.kmworld.com/Articles/Editorial/What-Is-.../What-is-KM-Knowledge-Management-Explained-82405.aspx
  23. Desouza, K. C. and Paquette, S. (Eds.) (2011). Knowledge management: An Introduction. New York: NY: Neal-Schuman Publishers, Inc.
  24. Mayo, A. (1998). Memory bankers. People Management, 4(2), 22 January, 34-38.

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2.

Authors:

Khin Myo Sett

Paper Title:

Information Retrieval for Ontology-Based Biological Data

Abstract: This paper provides a brief overview of the information retrieval process and also describes the main classic information retrieval models such as keyword-based information retrieval and ontology-based information retrieval. A brief overview of image retrieval system is discussed in this chapter. Some categories of image retrieval such as keywords-based image retrieval, content-based image retrieval, and ontology-based image retrieval are surveyed in this chapter. Evaluation methods of ontology-based biological information system are also presented. Graph database and other types of graph database are illustrated and Neo4j graph database in this research area are described. This paper describes the architecture of ontology-based biological information system in detail. Taxonomy and ontology concept are discussed in the ontology construction model. Biology graph database structure is discussed over the state of the art which aims to motivate and introduced the strength of neo4j database internal design. This work discusses the implementation of the proposed system. Java implementation is also provided in this chapter. Evaluation framework is discussed for the ontology based biological information system. Unified Modeling Language (UML) diagrams are described in this chapter. This work describes the query results and discussed the analysis of these experimental results. 

Keywords: Keyword-Based Information Retrieval, Ontology-Based Information Retrieval, Biological Information System, Graph Database.

References:

  1. Aitken, S. and S. Reid, Evaluation of an Ontology-Based Information Retrieval Tool, AIAI, University of Edinburgh, December 2014, http://citeseerx.ist.psu.edu
  2. Antezana, E,. M. Kuiper and and V. Mironov, Biological Knowledge Management: The Emerging Role of the Semantic Web Technologies, Briefings in Bioinformatics, Advance Access publication, Oxford University Press, Vol. 10, No 4, pp 392-407, May 2009
  3. Batra, S. and C. Tyagi, Comparative Analysis of Relational And Graph Databases, International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Vol. 2, Issue 2, May 2012
  4. Bordoloi, S. and B. Kalita, Designing Graph Database Models from Existing Relational Databases, International Journal of Computer Applications (0975-8887), Vol. 74, No. 1, July 2013
  5. Bouramoul, A., M. K. Kholladi and B. L. Doan, An Ontology-based approach for semantic ranking of the web search engines results, http://www.semantic-web-journal.net/sites/default/files/swj248.pdf
  6. Brank, J., M. Grobelnik and D. Mladenić, A Survey Of Ontology Evaluation Techniques, Jozef Stefan Institute, Slovenia, http://eprints.pascal-network.org
  7. Calado, P. et al 9, Searching Web Databases by Structuring Keyword-Based Queries, ACM 1-58113-492-4/02/0011, CIKM’02, Mclean, Virginia, USA, November 2002
  8. Chen, Y. et al, Keyword Search on Structured and Semi-Structured Data, SIGMOD’09, Providence, Rhode Island, USA, ACM 978-1-60558-551-2/09/06, July 2009
  9. Ciravegna, F., (LP )2: Rule Induction for Information Extraction Using Linguistic Constraints, Technical Report, CS-03-07, Computer Science, University of Sheffield, September 2003
  10. Coto, A. L., The Use of Ontology for Improving Image Retrieval and Annotation, Technical Report, kmi-08-08, KMi Institute, September 2008
  11. El-Qawasmeh, E. et al, A Framework For Processing Keyword-Based Queries In Relational Databases, Journal of Theoretical and Applied Information Technology, JATIT, Jordan, 2010, http://www.jatit.org
  12. Embley, D. W. et al, Ontology-Based Extraction and Structuring of Information from Data-Rich Unstructured Documents, Brigham Young University, Provo, Utah 84602, USA, citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.70.785…
  13. Franz, M. N. and D. Thau, Biological Taxonomy and Ontoloy Development: Scope and Limitations, Biodiversity Informatics, Vol. 7, 2010, pp. 45-66
  14. Ghige, P. M and Ruhi R. kabra, Relational Keyword Search System, International Journal of Engineering Research and General Science, Vol. 2, Issue 6, ISSN 2091-2730, November 2014
  15. Goyal, N. and N. Sigh, A Review on Different Content Based Image Retrieval Techniques Using High Level Semantic Features, International Journal of Innovative Research in Computer and Communication Engineering, (An ISO 3297:2007 Certified Organization), Vol. 2, Issue 7, ISSN(Online): 2320-9801, ISSN(Print): 2320-9798, July 2014, http://www.ijircce.com
  16. Handschuh, S., S. Staab and F. Ciravegna, S-CREAM-Semi-automaticCREAtion of Metadata, http://files.ifi.uzh.ch/ddis/iswc_archive/iswc/pps/...handchuh.pdf
  17. He, H. and A. K. Singh, Graphs-at-a-time: Query Language and Access Methods for Graph Databases, SIGMOD'08, Vancouver, BC, Canada, ACM 978-1-60558-102-6/08/06, June 2008
  18. Holzschuher, F. and R. Peinl, Performance of Graph Query Languages, EDBT/ICDT ’13, Genoa, Italy, ACM 978-1-4503-1599-9/13/03, March 18 2013
  19. Jakonienė, V. and P. Lambrix, Ontology-based Integration for Bioinformatics, Proceedings of the 31st VLDB Conference, Trondheim, Norway, 2005, https://www.ida.liu.se/~patla/publications/05odbis.pdf
  20. Joshi, K. Raj, Graph Visualization Using the NoSQL Database,May 2013, http://hdl.handle.net/10365/22972
  21. Joshi, M. D. et al, Image Retrieval and Re-Ranking Techniques-A Survey, Signal and Image Processing: An International Journal (SIPIJ), Vol. 5, No. 2, April 2014
  22. Jouili, S. and S. Tabbone, Hypergraph-Based Image Retrieval for Graph-Based Representation, Elsevier, 2012, http://dx.doi.org/10.1016/j.patcog. 2012.04.016, 2012
  23. Krishnan, A., Knowledge bases, Ontologies and Key-Value Stores, www.cbrg.ethz.ch /education/SDB/L4.pdf
  24. Labsky, M., Information Extraction from Websites using Extraction Ontologies, Dissertation, Doctor of Philosophy in Computer Science, 2008
  25. Magesh, N. and P. Thangaraj, Semantic Image Retrieval Based on Ontology and SPARQL Query, International Conference on Advanced Computer technology (ICACT), Proceeding published by International Journal of Computer Applications® (IJCA), 2011
  26. Malafsky, G.P. and B. D. Newman, Organizing Knowledge with Ontologies and Taxonomies, TECHi2, Fairfax, VA, http://www.techi2.com
  27. McColl, R. et al, A Performance Evaluation of Open Source Graph Databases, PPAA ’14, Orlando, Florida, USA, ACM 978-1-4503-2654-4/14/02, February  2014, http://dx.doi.org/10.1145/2567634.2567638
  28. Miller, Justin J., Graph Database Applications and Concepts with Neo4j, Proceeding of the Southern Association for Information Systems Conference, Atlanta, GA, USA, March  2013
  29. Obrst, L. et al, The Evaluation Of Ontologies: Toward Improved Semantic Interoperability, July 2006, mel.nist.gov
  30. Ortego, G. M., A Semantic Middleware to enhance current Multimedia Retrieval System with Content-based functionalities, © Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua, ISBN: 978-84-694-6824-1, 2011
  31. Partner, J., A. Vukotic and N. Watt, Neo4j in Action, Neo4j in Action MEAP, Version 13, MEAP Edition, Manning Publications, 2014
  32. Popov, B., et al, KIM-Semantic Annotation Platform, http://www.researchgate.net/pro -file/Atanas_Kiryakov/publication/221466086_KIM
  33. Raguenaud, C., J. Kennedy and P. J. Barclay, A Database System for Supporting Taxonomic Work, www.soc.npier.ac.uk/~prometheus/prometheus_1/.../pro00.ps
  34. Ramirez, J. A. V., Medical Image Retrieval Using Multimodal Semantic Indexing, Universidad Nacional de Colombia, Engineering School, 2013
  35. Revuri, S ., S. R. Upadhayaya and P. S. Kuma, Using Domain for Efficient Information retrieval, COMAD 2006, Delhi, India, December 2006, © Computer Society of India, 2006
  36. Schriml, L. M. et al, Disease Ontology: A Backbone for Disease Semantic Integration, Nucleic Acid Res. Jan 2012; 40 (D1): D940-D946. Published Online Nov 12, 2011, doi:10.1093/nar/gkr972 PMCID:PMC32 45088, Nov 2011
  37. Schulz, S., H. Stenzhorn and M. Boeker, The Ontology of Biological Taxa, Bioinformatics, Vol. 24, ISMB, 2008, pp 1313-1321, doi:10.1094/ bioinformatics/btn 158, 2008
  38. Shamsfard, M. and A. A. Barforoush, The State of Art in Ontology Learning: A Framework for Comparison (Accessed Date 2014, December) citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.5679…pdf
  39. Silvescu, A., D. Caragea and A. Atramentov et al, Graph Databases (Accessed Date 2014, March) www.cse.iitk.ac.in/users/smitr/.../Graph%20Databases.pdf
  40. Singaravelan, S. and D. Musugan, Survey on Content Based Image & Information
  41. Retrieval, International Journal of Computational Engineering Research,  ISSN:2250-3005, IJCER, Jan-Feb 2012, Vol. 2, Issue No.1, pp 168-171, 2012
  42. Sklyar, N., Survey of Existing Bio-Ontologies, September, 2001, citeseerx.ist.psu.edu/viewdoc/download?/doi=10.1.1.226.2803…
  43. Neo4j Team, The Neo4j Manual V I.9. M04, available at http://neo4j.org/, January 2013
  44. Torres, R. S and A. X. Falcao, Content-Based Image Retrieval:theory and Application, RITA. Vol. XIII. Numero 2.2006, 2006
  45. Vicknair, C., et al, A Comparison of a Graph Database and a Relational Database, ACMSE ’10, April 15-17, 2010, Oxford, MS, USA Copyright 2010 ACM 978-1-4503-0064-3/10/04
  46. Vijayarajan, V., et al, A Review: From Keyword Based Image Retrieval to Ontology Based Image Retrieval, International Journal of Reviews in Computing, 31th December 2012, Vol. 12© 2009 - 2012 IJRIC & LLS, ISSN: 2076-3328, http://www.ijric.org, E-ISSN: 2076-3336, Dec 2012
  47. Vogt, L., The Future Role of Bio-Ontologies for Developing a General Data Standard in Biology: Chance and Challenge for Zoo-Morphology, © Springer-Verlag, doi: 10.1007/s00435-008-008-5, October 2008
  48. Vrandečić, D., Ontology Evaluation, June 2010, www.aifb.kit.edu/images/b5/OntologyEvaluation.pdf
  49. Vu , Q. et al, A Graph Method for Keyword-based Selection of the top-K Databases, ACM SIGMOD’08, Vancouver, BC, Canada, 2008
  50. Yasmin, M., M. Sharif, and S. Mohsin, Use of Low Level Features for Content
  51. Based Image Retrieval: Survey, Research Journal of Recent Sciences, Vol. 2 (11 ), pp 65-75, ISSN 2277 – 2502, Res. J. Recent Sci, November 2013
  52. Yu, B. et al, Effective Keyword-based Selection of Relational Databases, SIGMOD'07, Beijing, China, ACM 978-1-59593-686-8/07/0006, June 2007

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3.

Authors:

Akua Korankyewaa

Paper Title:

The Effectiveness of Internal Auditing in Public Institutions in Ghana

Abstract: Purpose- To examine the elements that constitute effectiveness of internal auditing in public institutions in Ghana and know the ideas or knowledge other staffs have about internal auditing and ascertain their contributions towards making it effective. Methodology- Qualitative approach was used. Questionnaires were designed for both internal auditors and other staffs. 80 questionnaires were distributed in two public universities and one public hospital. Data gathered were analyzed using percentage. Findings- the study showed that management support, independence of internal auditors to operate, availability of resources and evaluation of internal auditors by other staff has a positive influence on effective internal auditing. Also, better training and good working relationship are essential for effective internal auditing.- Research Limitations/ Implications-The study was about three public institutions that have internal auditing department in Kumasi in Ghana, audit committee members were not included in the interviews conducted. A further study may involve more public institutions in both cities and local areas and audit committee members. Also, a further study can be on the computerization of internal auditing departments in public institutions. Practical Implications- The research suggest the development of software for auditing. • Internal auditors should be evaluated by other staff. The elements that constitute effective internal auditing should be important to management and the government. Originality / Value- the outcome of this study will help internal auditors, the government, management, investors, the Internal Audit Agency and the Institute of Internal Auditors.

Keywords: Internal Auditing, Internal Audit Functions, Internal Audit Agency, Public Institutions  

References:

  1. Boyne, G. A. (2003). Sources of public service improvement: A critical review and research
  2. Mainoma, M. A. (2007). Financial Control and Management: A paper presented at ANAN (MCPD). Dandago, K. I. (1999). Auditing in Nigeria: A Comprehensive Text (1st Edition). Kano: Adamu Joji Publishers.
  3. Millichamp, A. H. (2000), Auditing, 7th Edition. London: Continuum.
  4. Anichebe, A. S. (2010). Auditing and Investigation. Onitsha: Ade Graphics and Publishers. Agenda. Journal of Public Administration
  5. Institute of Internal Auditors. (2013). The IIA ’s Global Internal Audit Competency Framework. Altamonte Springs: The Institute of Internal Auditors. [Online] Available: https://na.theiia.org/about-us/Public Documents/The IIA Global Internal Audit Competency Framework.pdf (October 14, 2015)
  6. Okezie, B. N. (2008). Audit and Assurance Services. Aba: Concept Publishers.
  7. Owler L. and Brown J. L. (1999). Cost and Management Accounting Methods. London: Macdonald and Evans Press.
  8. Rittenberg, L. E. and Schwieger, B. J. (1997) Auditing: Concepts for a Changing Environment New York: The Dryden Press.
  9. Mihret, D.G. and Yismaw, A.W. (2007), “Internal audit effectiveness: an Ethiopian public sector case study”, Managerial Auditing Journal, Vol. 22 No. 5, pp. 470-84.
  10. Rose, J. and Norman, C.S. (2008), Internal Audit Reporting Lines, Fraud Risk Decomposition, and Assessments of Fraud Risk, IIA Research Foundation, Altamonte Springs, FL.

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4.

Authors:

Gourish Chandra Mondal

Paper Title:

Reflective Analysis of Perceptions on Education of Rabindranath Tagore

Abstract: Rabindranath Tagore (1861-1941), was not only Asia’s first Nobel Laureate, but also a great philosopher and an educationalist in a non-academic sense. He was born into a prominent family known for its socio-religious and cultural innovations during the Bengal Renaissance in 19th century. Since his earliest days, Rabindranath grew up in an environment where all the surging tides of the Indian Renaissance were flowing around his diurnal life. The present paper highlights the philosophical contribution of Rabindranath Tagore to education. It relates the importance of Tagore’s philosophy of education with different component of education and finally the implication of Tagore’s Philosophy on education.

Keywords: Education; Educational Philosophy; Tagore’s Contribution.

References:

  1. Ray, M. K. (2007), Studies on Rabindranath Tagore 1,Atlantic (published 1 October 2007), ISBN 978-81-269-0308-5, retrieved 16 September 2011.
  2. Kripalani, K. (2005), Tagore—A Life, National Book Trust of India, ISBN 978-81-237-1959-7
  3. Sen, A. (1997), "Tagore and His India", The New York Review of Books, retrieved 30 August 2011.
  4. Dutta, K.; Robinson, A. (1995), Rabindranath Tagore: The Myriad-Minded Man, Saint Martin's Press (published December 1995), ISBN 978-0-312-14030-4.
  5. Hogan, P. C.; Pandit, L. (2003), Rabindranath Tagore: Universality and Tradition, Fairleigh Dickinson University Press (published May 2003), ISBN 978-0-8386-3980-1.
  6. Lago, M. (1977), Rabindranath Tagore, Boston: Twayne Publishers (published April 1977), ISBN 978-0-8057-6242-6.
  7. Bhattacharjee, S. (2014), Relevance of Tagore’s philosophy of education in postmodern era – a conceptual analysis, IOSR Journal of Humanities and Social Science, Vol 19 (9), pp. 34-40.
  8. Singh, R. and Rawat, S. S. (2013), Rabindranath Tagore’s Contribution in Education, VSRD International Journal of Technical and Non-Technical Research, Vol 4, 2013.
  9. Daskumar ,Sisir.’Eng Epic Beautiful’. Delhi: Sahitya Academy.1994 pp.611-612.

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5.

Authors:

Smriti Ghatani

Paper Title:

Gender Based Violence against Women: A Study on Domestic Violence in North Bengal

Abstract: Globally, after generations of silence, violence against women has become an important topic of discussion in popular media and academic scrutiny in many developing countries. India has been no exception to this unfortunate situation. About 48 percent of the total population in India comprise of women and till recent years 2,44,270 cases have been reported against violation of women and as much as 70 percent cases, has been the case of domestic violence. This type of violence is silently caused and it affects the family of all classes and cultures. Even after years of independence, having women as victims of inequality and discrimination, the law makers in India, have been enacting various laws directed towards women’s equality and one such law has been the Domestic Violence Act, 2005. In the state of West Bengal, the problem of domestic violence reveals a new dimension and thus, with the provisions of gender specific laws in the study area, the paper tries to make an in-depth analysis of 30 women respondents of Northern part of West Bengal on parameters such as the reasons for their discrimination, the types of violence they face, the extremity of violence and the protection they receive through laws, police and the society.

Keywords: Gender, Inequality, North Bengal, Violence, Women.

References:

  1. Ahuja, R. (1993). Crimes Against Women. Jaipur: Rawat.
  2. Singh, S.C. (2011). Recent Issue Concerning Violence Against Women,, New Delhi: Serials
  3. Saravanan S. (2002). Violence Against Women, A Literature Review. Institute of Social studies.
  4. Cohen, M.F. (2006). ‘The Condition of Women in Developing and Developed Countries’, The Independent Review, XI (2): 261-275.
  5. Singh, A.K., Choudhary, J. (2012) Violence Against Women and Children: Issues and Concerns, New Delhi: Serials Publications, p. 1-16, 193-201.
  6. Sharma, P.D. (2000). ‘Human Rights and Women’s Health in Indian Society’ in Sarkar, P.C. Women in Patriarchial Society. New Delhi: Serial Publications.
  7. Indira, R. & Behera, D.K. (1999). Gender and Society in India. New Delhi: Manak Publications.
  8. Singh, A.P., Singh, A.P., and Khan,P.A. (2012) Trafficking in Women and Children in India, , New Delhi: Serials Publications.
  9. Rao, D. P. (2011). ‘Violence Against Women with special reference to Domestic Violence in India’ in Singh, S.C., Recent Issues Concerning Violence Against Women. (2011). New Delhi: Serial Publications.
  10. Atray, J.P. (2003). Crimes Against Women.  New Delhi: Vikas Publishing House Pvt. Ltd.
  11. Visaria, L. (1999). Domestic Violence in India : A Summary Report of Three Studies. Washington DC: International Center for Research on Women.
  12. Anjana, M.S. (1993), Women in the Changing Society. New Delhi: Ashish Publishing house.

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6.

Authors:

Abinash Darnal

Paper Title:

Mass-Media and Peace-Building: Attainment, Problems and Preventions

Abstract: In the present day world, no one can deny that the media has a constructive share in shaping the national policies and in decision making processes. Many formal and informal institutions in the polity are playing their respective roles in allocation of social resources and enhancing harmony and order. Following bequest of new strategies the techniques like sports as diplomatic tools in bringing peace, policies, rewards, laws and acts, treaties, mutual agreements, conventions, non-proliferation agreements and disarmament pacts are still in the progress. With the revolution in Information and Communication Technology, one must pay heed to the input of media as a means to achieve peace. Since media is the fourth pillar of democracy, this paper tries to make a comprehensive assessment of the role of Mass Media and Journalism in enhancing peace and order in the present day society. Also an attempt has been made to find out the possible ground of surface in which media can play an effective and unbiased materialization of its role. 

Keywords: Freedom of Speech and Expression, Journalism, Media, Right 

References:

  1. The Role of Media in Peace-Building; UK Essays: https://www.ukessays.com/essays/politics/the-role-of-media-in-peace-building-politics-essay.php
  2. The Role of the Media in Peace Process, https://sanjanah.wordpress.com/2002/10/27/the-role-of-the-media-in-peace-processes/
  3. The Role of Media in Peace-Building; UK Essays: https://www.ukessays.com/essays/politics/the-role-of-media-in-peace-building-politics-essay.php
  4. The Role of the Media in Peace Process, https://sanjanah.wordpress.com/2002/10/27/the-role-of-the-media-in-peace-processes/
  5. The Media’s Role in Peace-Building: Assets or Liability?
  6. Kuusik Nora : The Role of the Media in Peace Building, Conflict and Prevention, E-International Relations

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