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Singh, Samarth
- Leveraging Technology on Learning Landscape Learning Analytics: A Conceptual Study
Abstract Views :183 |
PDF Views:4
Authors
Samarth Singh
1,
Maitri
1
Affiliations
1 MERI, New Delhi, IN
1 MERI, New Delhi, IN
Source
MERI-Journal of Management & IT, Vol 10, No 1 (2016), Pagination: 109-114Abstract
Paradigm has shifted from brick to clicks on the learning portals.Erik Duval in 2012 has proposed the definition "learning analytics is about collecting traces that learners leave behind and using those traces to improve learning".The 2016 Horizon Report describes learning analytics as "an educational application of web analytics aimed at learner profiling, a process of gathering and analyzing details of individual student interactions in online learning activities. The NMC Horizon Report: 2013 Higher Education Edition identifies learning analytics as a key technology for the higher education sector which has an expected time-to-adoption horizon or two to three years. The report suggests that "Learning analytics, in many ways, is "big data," applied to education. The term owes its beginnings to data mining efforts in the commercial sector that used analysis of consumer activities to identify consumer trends."The current interest in learning analytics reflects wider interests in "Big Data" and Educational Data Mining (EDM). "Learning analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections for predicting and advising people's learning." (Siemens, George, 2010).This paper has presented conceptual basics about learning analytics and its associated constructs.Keywords
Big Data, Content Management System, Educational Data Mining, Learning Analytics, Virtual Learning Environment.References
- • "Call for Papers of the 1st International Conference on Learning Analytics & Knowledge (LAK 2011)". Retrieved 12 February 2014.
- • Siemens, George. "What Are Learning Analytics?" Elearnspace, August 25, 2010. http://www.elearnspace.org/blog/2010/08/25/what-are-learninganalytics/
- • Greller, Wolfgang; Drachsler, Hendrik (2012). "Translating Learning into Numbers: Toward a Generic Framework for Learning Analytics." (pdf). Educational Technology and Society. 15 (3): 42–57.
- • Mohamed Amine Chatti, Anna Lea Dyckhoff, Ulrik Schroeder and Hendrik Thüs (2012). A reference model for learning analytics. International Journal of Technology Enhanced Learning (IJTEL), 4(5/6), pp. 318-331.
- • Chatti, M. A., Lukarov, V., Thüs, H., Muslim, A., Yousef, A. M. F., Wahid, U., Greven, C., Chakrabarti, A., Schroeder, U. (2014). Learning Analytics: Challenges and Future Research Directions. eleed, Iss. 10. http://eleed.campussource.de/archive/10/4035
- • Powell, Stephen, and Sheila MacNeill. Institutional Readiness for Analytics A Briefing Paper. CETIS Analytics Series. JISC CETIS, December 2012. http://publications.cetis.ac.uk/wp-content/uploads/2012/12/InstitutionalReadiness-for-Analytics-Vol1-No8.pdf.
- • Gaševiæ, D.; Dawson, S.; Siemens, G. (2015). "Let's not forget: Learning analytics are about learning" (PDF). TechTrends. 59 (1): 64–71. doi:10.1007/s11528-014-0822-x.
- • G. Siemens, D. Gasevic, C. Haythornthwaite, S. Dawson, S. B. Shum, R.Ferguson, E. Duval, K. Verbert, and R. S. J. D. Baker. Open Learning Analytics: an integrated & modularized platform. 2011.
- • Baepler, P.; Murdoch, C. J. (2010). "Academic Analytics and Data Mining in Higher Education". International Journal for the Scholarship of Teaching and Learning. 4 (2).
- • C. Brooks. A Data-Assisted Approach to Supporting Instructional Interventions in Technology Enhanced Learning Environments. PhD Dissertation. University of Saskatchewan, Saskatoon, Canada 2012.
- • Ferguson, Rebecca. The State of Learning Analytics in 2012: A Review and Future Challenges. Technical Report. Knowledge Media Institute: The Open University, UK, 2012. http://kmi.open.ac.uk/publications/pdf/kmi-12-01.pdf
- • Cooper, Adam. A Brief History of Analytics A Briefing Paper. CETIS Analytics Series. JISC CETIS, November 2012. http://publications.cetis.ac.uk/wpcontent/uploads/2012/12/Analytics-Brief-History-Vol-1-No9.pdf.
- • "Learning Analytics". www.tc.columbia.edu. Retrieved 2015-11-03.
- • Drachsler, H. & Greller, W. (2016). Privacy and Analytics – it’s a DELICATE issue. AChecklist to establish trusted Learning Analytics. 6th Learning Analytics and Knowledge Conference 2016, April 25–29, 2016, Edinburgh, UK.
- • Mohamed Amine Chatti, Arham Muslim, and Ulrik Schroeder (2016). Toward an Open Learning Analytics Ecosystem. In Big Data and Learning Analytics in Higher Education (pp. 195-219). Springer International Publishing.
- • Learning Analytics and Educational Data Mining, Erik Duval’s Weblog, 30 January 2012, https://erikduval.wordpress.com/2012/01/30/learning-analyticsand-educational-data-mining/
- • NMC Horizon Report > 2013 Higher Education Edition, http://redarchive.nmc.org/publications/2013-horizon-report-higher-ed
- • Big Data, Wikipedia, http://en.wikipedia.org/wiki/Big_data
- • Educational data mining, Wikipedia, http://en.wikipedia.org/wiki/Educational_data_mining
- Shoppers Preference of Organised Retail formats in Delhi
Abstract Views :170 |
PDF Views:4
Authors
Samarth Singh
1,
I. B. Singh
2
Affiliations
1 NIU, IN
2 Jaipuria Institute of Management, IN
1 NIU, IN
2 Jaipuria Institute of Management, IN
Source
MERI-Journal of Management & IT, Vol 10, No 1 (2016), Pagination: 120-124Abstract
Organised Retailers across the world are facing tough competition among themselves and from online retailers .They are witnessing customers movement from one retail format to other and thus finding it hard to sustain . They want to have a better connect and be the preferred destination which requires at the beginning to understand which is shoppers favourite destination so that strategies could be developed accordingly. This paper is an empirical research on five hundred Shoppers to study their preferences of organized retail formats in Delhi. Results show that speciality stores along with hypermarkets are the favourite retail formats for shoppers in Delhi.Keywords
Shopper, Retail, Retail Formats.References
- Basu,R.(2013).A review of contemporary retail formats in emerging India.Indian Journal of Marketing , 43(11), 30-35.
- BCG(2015).Retail 2020:Retrospect,reinvent,rewrite.Retrieved from httpwww. bcg india.comdocumentsfile181823.pdf
- FICCI (2014). Sectoral investment landscape across India an overview. Knowledge paper,66.Retrieved from http://www.ficci.com/spdocument/20362/KnowledgePaper -Book.pdf
- IBEF (Dec 1, 2013).Retail Industry in India .Retrieved from http://www.ibef.org/pages/36323
- IBEF (2014). .Indian Retail Market. Retrieved from http://www.ibef.org/industry/ indian-retail-industry-analysis-presentation
- Pradhan,S.(2010). Retailing Management.( 3 ed). New Delhi: Tata Mcgraw Hill
- Rahman.T. (2012).Organised retail industry in India- Opportunities and challenges. International Journal of Research in Finance and Marketing,2(2),82-94.
- Sinha,P.K.,&Uniyal,D.P.(2005).Using observational research for behavioural segmentation of shoppers. Journal of Retailing and Consumer Services,6(5), 16173.
- Sinha,P.K.,&Uniyal,D.P.(2012).ManagingRetailing(2 ed).Oxford University Press
- Social Media:Enabling Technology and Impact on Retail
Abstract Views :179 |
PDF Views:4
Authors
Affiliations
1 NIU, IN
2 MERI, IN
1 NIU, IN
2 MERI, IN
Source
MERI-Journal of Management & IT, Vol 9, No 2 (2016), Pagination: 82-85Abstract
Over the last years, online tools such as blogs, wikis, online communities and virtual worlds, commonly referred to as Social Media have drastically revolutionized the traditional marketing approaches of retailer. Social media has revolutionized the relationships retailers have with consumers. This article describes the elements of social media applications and effects of Social Media on the consumer decision-making process.Keywords
Social Media, Consumer, Decision Making.References
- Cerezo, J.M. (2007): La Web 2.0: Revolucion, Burbuja o Moda?, in: Harvard Deusto Marketing & Ventas, Vol. 80, pp. 50-55
- Constantinides, Efthymios and Fountain, Stefan J. 2008. Web 2.0: Conceptual foundation and marketing issues. Journal of Direct, Data and Digital Marketing Practice, 9 (3). 231-244. USA: Palgrave Macmillan
- Dans, E. (2007): La empresa y la Web 2.0, in: Harvard Deusto Marketing & Ventas, Vol. 80, pp. 36-43.
- Evans, D. 2008. Social Media Marketing: An Hour a Day. N.J, USA: John Wiley and Sons Hanna, R., Rohm, A. & Crittenden, V., (2011). We're all connected: The power of the social media ecosystem, Business Horizons, 54, 265-273.
- Kozinets, R. V., (1999). E-tribalized Marketing? The Strategic Implications of Virtual Communities of Consumption, European Management Journal, 17(3), 252–64
- Mangold G. and Faulds D., (2009). Social media: The new hybrid element of the promotion mix, Business Horizons, 52, 357-365.
- Mersey R., Davis, Malthouse E. & Calder B., (2010). Engagement with Media, Journal of Media Business Studies, 7(2), 39 -56
- Olenski, S. 2012. Three Of Four CMOs Say Social Media Impacts Sales. (http://www.forbes.com/sites/marketshare/2012/08/21/three-of-four-cmos-say-social-media-impacts-sales/ [Retrieved 24.3.2013]).
- Silverman, G. 2001. The Secrets of Word-of-Mouth Marketing. USA: AMACOM Weber, L. 2009. Marketing to the Social Web: How digital customer communities build your business. Second Edition. N.J, USA: John Wiley and Sons.
- Zarrella, D. 2010. The Social Media Marketing Book. Sebastopol, CA: O'Reilly Media Inc
- Branding in Retail:Understanding Shoppers for Brand Connect
Abstract Views :261 |
PDF Views:4
Authors
Samarth Singh
1,
I. B. Singh
2
Affiliations
1 NIU, IN
2 Jaipuria Institute of Management, IN
1 NIU, IN
2 Jaipuria Institute of Management, IN
Source
MERI-Journal of Management & IT, Vol 9, No 2 (2016), Pagination: 96-100Abstract
Retailers across the world want to be the most favoured destination for shopping. They want an emotional connect as a brand with shoppers. Developing better brand connect requires retailers to understand shoppers preferences for various product and store related attributes. This paper is an empirical research on hundred Shoppers to study their preferences for product and store related attributes for organized retail in Delhi. The study also studies the differences in the preferences among male and female shoppers in order to have better Brand connect as Retail organization.Keywords
Shopper, Retail, Branding, Store Attributes, Product Attributes.References
- FICCI Knowledge paper( 2014)Sectoral Investment landscape across India ,.Jan 2014.Pg 66
- Grewal,D.,Levy,M.andLehman,D.R.( 2004) Retail branding and customer loyalty : An overview. Journal of Retailing,80(4),9-12
- Gunaseelan, R.andChitra ,R. ( 2014)Cutomer's Expectation towards Shopping Behaviour in retail Outlets Impact : International Journal of Research in Business Management, 2 (2), 43-52
- Hartman,K.B and Spiro,R.L( 2005) Recapturing store image in customer based tore equity : A construct conceptualization ,Journal of Business Research, 58(8),1112-1120
- Kent,T.(2003)2d23D:Management and design perspective on retail branding ,International Journal of Retail & Distribution Management, 31(3),131-142.
- Mishra, M.S. (2007)The consumption pattern of Indian Consumers: choice between traditional and organized Retail Retrieved from. http://ssrn.com/abstract=994238
- Oppewal H. (1995)Conjoint experiments and retail planning: modeling consumer choice of shopping centre and retail reactive behaviour. ThesisEindhoven
- University of Technology Eindhoven, The Netherlands
- Swapnapradhan( 2010).Retailing Management ,Tata Mcgraw Hill, 3 edition
- Swoboda,B, Haelsig,F, Schramm-Klein,H and Michell, D (2009) Moderating role of involvement in building a retail brand, International Journal of Retail and Distribution Management 37 ( 11), 952-974