A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Shekar, B.
- Mahua Art Gallery-A Case Study on Usage of Information Technology in a Cultural Enterprise
Authors
1 Quantitative Methods and Information Systems Area, Indian Institute of Management Bangalore, Bangalore 560 076, IN
2 Global Marketing Center, IBM India Private Limited, Bangalore, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 7, No 1 (2013), Pagination: 3-11Abstract
This paper, essentially a case study, begins by delving into the historical background concerning the entrepreneur and founders’ mindset of a cultural enterprise like the Mahua Art Gallery; particularly how it came into existence. It then briefs on the art industry and also examines organizational aspects and related issues in a cultural enterprise of this genre. It touches upon significant aspects of Mahua’s journey from nascence to the current state it is in. Discussions on how management initiatives have driven its recent adoption of technology are also present. Finally the paper concludes with a look into information technology and online social networks. Social media which this organization has embraced and potential benefits that accrue from its adoption are also discussed. This case is based on interviews conducted with the founders of Mahua Art Gallery and hence possesses an authentic stamp.Keywords
Cultural Enterprise, Information Technology & Art Gallery.- Analysis of the Indian Art Industry:An Organizational Perspective
Authors
1 Quantitative Methods and Information Systems, Indian Institute of Management Bangalore, Bengaluru-560 076, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 9, No 2 (2015), Pagination: 17-25Abstract
Creative cultural industries are those that produce tangible or intangible artistic and creative outputs, and which have a potential for wealth creation and income generation. All cultural industries use creativity, cultural knowledge, and intellectual property to produce products and services with social and cultural meaning. Industries that make use of cultural assets and skilled creative people can significantly benefit from the use of online social networks.
Creative industries are typically characterized by a high level of product differentiation. For example, no artwork is like any other. Some of the products are reproducible, while others are not. The high degree of product differentiation is linked to symbolic content and also to the fact that cultural products contain some aspect of novelty that implies product innovation.
Keywords
Intangible Output, Intellectual Property, Cultural Assets & Product Differentiation.References
- Measuring the economic and social impact of the arts: a review by Michelle Reeves: http://www.artscouncil.org.uk/media/uploads/documents/publications/340.pdf
- Web: Social Media in the Arts”, Theatre Bay Area: http:// www.artsjournal.com/newbeans/2011/06/social-mediaandthe-arts-a-groundbreaking-new-study.html
- Saffronart.com: Bidding for Success by Mukti Khaire and R. Daniel Wadhwani, Harvard Business School: http://www.hbs.edu/faculty/Pages/item.aspx?num=34718
- India Art Summit (2011, January 20). India Art Summit: Day 1 Recordings. Retrieved from IIM Bangalore - B Shekar - Personal Webpage: http://www.iimb.ernet.in/~shek/ Audio_Rec_Several_Interviews_India_Art_Summit.mp3
- On the Evolution of an Academic Course
Authors
1 Decision Sciences and Information Systems Area, Indian Institute of Management Bangalore, Bangalore, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 10, No 1 (2016), Pagination: 18-23Abstract
This is an interview to unearth the efforts of an innovator in developing a new course in a Post Graduate management programme. The thought process in developing a new course is in establishing connectivity between logic and evidence by searching for a pattern through the Input- Throughput-Output-Outcome paradigm. The science of decision making is strong in logic and hence there is expectation of a perfect outcome. In many cases reality does not work that way. The ability to link the unconnected may emerge as an outcome of the new course. Decision-making, in the real world of uncertainty consisting of multifarious dimensions, is an art by itself. The course may provide cues as to how to make decisions despite many hidden variables present in life of which management is a part.- Online Social Network Usage for Increased Organizational Performance: Underpinnings Emphasizing Creativity of Employees and Employee-Autonomy-Handling Capability
Authors
1 Information Systems Area, Indian Institute of Management Bangalore, Bangalore, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 11, No 1 (2017), Pagination: 33-38Abstract
Some of the features that affect organizational performance have been attempted. These features are more relevant in organizations that are oriented towards innovation. In particular, benefits that accrue from the usage of Online Social Networks (OSN) are looked at in an organizational setting. The different orders of creativity and relationship between weak links and creativity in an organizational context have been elucidated. The complex relationship between OSN usage and an individual’s capability to handle autonomy is examined in detail. A formal analysis of this relationship has been presented.Keywords
Organization Structures, Online Social Networks, Creativity, Autonomy.References
- Hilberts, Berend Jan. The Connected Company dealing with Complexity. Complexity Theory. [Online] OCT 17, 2010. http://iconoclast.typepad.com/blog/ etenen-drinken/. 01.12.2010.
- The Strength of Weak Ties. Granovetter, Mark S. No.6, May 1973, The American Journal of Sociology, Vol. Vol 78., pp.1360-1380.
- The Strength-of-Weak-Ties Perspective on Creativity: A Comprehensive Examination and Extension.Baer and Markus. May 2010, Journal of Applied Psychology, pp. Vol. 95 Issue 3, p.592-601.
- Wolf, Tom De and Holvoet, Tom. Emergence Versus Self-Organisation: Different Concepts but Promising When Combined. Springerlink. [Online] 2005. www.springerlink.com/index/p7k83kc3fkj8e42n.pdf; http://www.scribd.com/doc/22620289/Emergenceversusself-organization-tom-de-wolf.
- Heylighen, Francis. Complexity and Self-organization.Encyclopedia of Library and Information Sciences, eds. M. J. Bates & M. N. Maack (Taylor & Francis, 2008). 2008.
- Grossman, Lev. Person of the Year 2010, Mark Zuckerberg. TIME. [Online] December 2010.http://www.time.com/time/specials/packages/ article/0,28804,2036683_2037183_2037185,00.html 01.01.2011.
- Juarrero, A. Dynamics in Action: Intentional behaviour as a complex system. MIT Press, 2000.
- Reflections on Life, Education, and Self-Management
Authors
1 Quantitative Methods and Information Systems Area, Indian Institute of Management Bangalore, Bangalore, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 3, No 2 (2009), Pagination: 57-64Abstract
This article is a discussion on matters connected with life. We touch upon issues related to personality development and education. In today’s world, many a time we really do not know why we are doing certain things. Hence there is a pressing need to understand elusive notions such as success and happiness, and place them in perspective. We earnestly make an attempt to understand and pragmatically interpret such notions for a common layperson. Finally we touch upon education.We try to look at education from a wider angle in an unconstrained manner. This in turn leads to the surfacing of pitfalls present in our current education system. These problems are unfortunately connected to non-trivial problems present in other spheres of our society. Hence there may not be exclusive ready made solutions for problems present in our education system. Only a holistic approach may take us toward possible solutions. We indicate some general directions that may be worth looking at. However, these are only directions and need to be explored further before being concertized.
The views expressed in this article are based on the author’s experiences, and are not necessarily unique. They have been elaborated in a lucid manner for easy assimilation.
- Issues in Negative Association Rule Mining with Business Analytics Perspectives
Authors
1 Department of Management, Indian Institute of Management, Bangalore, IN
2 Department of Decision Sciences and Information Systems Area, Indian Institute of Management, Bangalore, IN
Source
DHARANA - Bhavan's International Journal of Business, Vol 11, No 2 (2017), Pagination: 13-20Abstract
Association Rule mining literature is witnessing a shift of focus from generating positive rules to the discovery of negative rules. A review of previous literature on negative rule mining that incorporate objective and subjective interestingness measures has been done. Then, an extension, to Fuzzy Set Concept for generating and mining negative rules is made. This work also presents unaddressed issues in mining of both positive and negative rules. Business applications that gain useful insights from both positive and negative rules have been highlighted.Keywords
Association Rule Mining, Item sets, Negative Association Rules, Fuzzy Set Concept, Interestingness, Business Applications.References
- Agrawal, R., & Srikant, R. (1994, September). Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases, VLDB (Vol.1215, pp.487-499).
- Agrawal, R., Imieliski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. ACM SIGMOD Record, 22(2), 207216.
- Antonie, M. L., & Zaïane, O. R. (2004). Mining positive and negative association rules: an approach for confined rules. In Knowledge Discovery in Databases: PKDD 2004 (pp.27-38). Springer Berlin Heidelberg.
- Apte, C., Liu, B., Pednault, E. P., & Smyth, P. (2002). Business applications of data mining. Communications of the ACM, 45(8), 49-53.
- Brin, S., Motwani, R., & Silverstein, C. (1997a, June). Beyond market baskets: Generalizing association rules to correlations. In ACM SIGMOD Record (Vol.26, No.2, pp.265-276). ACM.
- Brin, S., Motwani, R., Ullman, J. D., & Tsur, S. (1997b, June). Dynamic itemset counting and implication rules for market basket data. In ACM SIGMOD Record (Vol.26, No.2, pp.255-264). ACM.
- Dong, G., & Li, J. (1998). Interestingness of discovered association rules in terms of neighborhood-based unexpectedness. In Research and Development in Knowledge Discovery and Data Mining (pp.72-86). Springer Berlin Heidelberg.
- Giudici, P. (2005). Applied data mining: statistical methods for business and industry. John Wiley & Sons.
- Kuok, C. M., Fu, A., & Wong, M. H. (1998). Mining fuzzy association rules in databases. ACM Sigmod Record, 27(1), 41-46.
- Mannila, H., Toivonen, H., & Verkamo, A. I. (1994, July). E cient algorithms for discovering association rules. In KDD-94: AAAI workshop on Knowledge Discovery in Databases (pp.181-192).
- Ngai, E. W. T., Hu, Y., Wong, Y. H., Chen, Y., & Sun, X. (2011). The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature. Decision Support Systems, 50(3), 559569.
- Padmanabhan, B., & Tuzhilin, A. (1999). Unexpectedness as a measure of interestingness in knowledge discovery. Decision Support Systems, 27(3), 303-318.
- Savasere, A., Omiecinski, E., & Navathe, S. (1998, February). Mining for strong negative associations in a large database of customer transactions. In Data Engineering, 1998. Proceedings., 14th International Conference on (pp.494-502). IEEE.
- Shaw, G., Xu, Y., & Geva, S. (2009). Interestingness Measures for Multi-Level Association Rules.
- Proceedings of ADCS 2009, 27-34.
- Srikant, R., & Agrawal, R. (1995). Mining generalized association rules (pp.407-419). IBM Research Division.
- Srikant, R., & Agrawal, R. (1996, June). Mining quantitative association rules in large relational tables. In Acm Sigmod Record (Vol.25, No.2, pp.1-12). ACM.
- Yuan, X., Buckles, B. P., Yuan, Z., & Zhang, J. (2002). Mining negative association rules. In Computers and Communications, 2002. Proceedings. ISCC 2002. Seventh International Symposium on (pp.623-628). IEEE.