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
Dash, Mihir
- Establishing and Allocating the Marketing Communications Budget in Indian Organisations
Authors
1 Management Science, School of Business, Alliance University, Bengaluru, Karnataka, IN
2 Marketing, School of Business, Alliance University, Bengaluru, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 3, No 3&4 (2014), Pagination: 81-87Abstract
Two of the most critical decisions facing marketing managers are how much to spend on communications or promotion (i.e. to determine the marketing communications budget), and how to allocate it over the major tools or elements of the communications mix (viz. advertising, sales promotion, direct marketing, personal selling, public relations, and publicity).
There are four common methods used by companies to decide on the communications budget. These are the affordable method, the percentage-of-sales method, the competitive parity method, and the objective-and-task method. Many companies employ more than one method to arrive at relatively accurate budget figure.
Companies consider several factors when they allocate the communications budget, including the market size and potential, market share objectives, product market type, product life-cycle stage, and buyer-readiness stage.
The present study is undertaken to understand the usage of different communications budgeting methods and the allocation of the communications budget to the different promotional elements in Indian companies. These are further compared between consumer durables and non-durables, industrial products, and services.
Keywords
Social Media, Customer Complaints, Customer Perceptions, Customer Behaviour.References
- Ai, S., Du, R., & Hu, O. (2010). Dynamic optimal budget allocation for integrated marketing considering persistence.
- International Journal of Information Technology & Decision Making, 9(5), 715-736.
- Doyle, P., & Saunders, J. (1990). Multiproduct advertising budgeting. Marketing Science, 9(2), 97-113.
- Farris P. W. (1977). Determinants of Advertising Intensity: A Review of Marketing Literature, Report No. 77-109, Marketing Science Institute, Cambridge, MA.
- Jones, J. P. (1990). Ad-Spending: Maintaining market share. Harvard Business Review, 68(1), 38-42.
- Lilien, G. L., Rangaswamy, A., & De Bruyn, A. (2007). Principles of Marketing Engineering, Tradfford Publishing, Canada.
- Low, G. S., & Mohr, J. J. (1991). The budget allocation between advertising and sales promotion: Understand the decision process. AMA Educator's Proceedings, 448-457.
- Low, G. S., & Mohr, J. J. (1998). Brand Managers' Perceptions of Marketing Communications Budget Allocation Process. Marketing Science Institute, Cambridge, MA.
- Luchsinger, P. B., Mullen, V. S., & Jannuzzo, P. T. (1977). How many adverting dollars are enough? Media Decisions, 12, 59
- Lynch, J. E., & Hooley, G. J.(1990). Increased sophistication in advertising budget selling. Journal of Advertising Research, 30(1), 67-76.
- Naik, P. A., & Raman, K. (2003). Understanding the impact of synergy on multimedia communications. Journal of Marketing Research, 40(4), 375-388.
- Simon, J. A., & Arndt, J. (1980). The shape of the advertising response function. Journal of Advertising Research, 20(4). 11-28.
- Welch, M. (1993). Upbeat marketers wield bigger budgets, shift marketing mix. Business Marketing, 23.
- A Study on the Impact of Visual Merchandising on Impulse Purchase in Apparel Retail Stores
Authors
1 Department, Management Science, School of Business, Alliance University, Bangalore, Karnataka, IN
2 Marketing, School of Business, Alliance University, Bangalore, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 5, No 2 (2016), Pagination: 37-44Abstract
The scope of visual merchandising is growing rapidly with advances in technology. Apparel retailers need to ensure their visual merchandising has stronger impact, as competition in the present scenario is high, and retailers are ready to spend more on visual merchandising to attract customers. Visual merchandising has thus become a tool which can be used by apparel retailersto differentiate themselves from competitors.
The currentstudy examines the impact of visual merchandising, viz. store layout, in-store product display, mannequin display, and promotional signage, on impulse buying behaviour of customers in apparel retail stores. The respondents for the study included 201 customers who visit apparel stores. The data were collected using a structured questionnaire.
The results of the study suggest that visual merchandising elements do have a significant impact on impulse purchase in apparel retail stores, with store layout having the highest impact, followed by promotional signage, and mannequin display, while in-store product display did not have a significant impact on impulse purchase. Further, for men, only store layout had a significant positive impact on impulse purchase; on the other hand, for women, store layout, mannequin display and promotional signage had significant positive impact on impulse purchase.
Keywords
Visual Merchandising, Store Layout, In-Store Product Display, Mannequin Display, Promotional Signage, Impulse Buying, Apparels.References
- Bhatti, K. L., & Latif, S. (2014). The impact of visual merchandising on consumer impulse buying behaviour.Eurasian Journal of Business and Management, 2(1), 24-35.
- Hubrechts, L., & Kokturk, B. (2012). Effects of visual merchandising on young consumers. Impulse Buying Behaviour. University of Halmstad, Marketing Report No. Mf:3:2012:039.
- Kaur, A. (2013). Effect of visual merchandising on buying behaviour of customers in Chandigarh. International Journal of Engineering Science and Innovative Technology, 2(3), 247-251
- Khandai, S., Agarwal, B., & Gulla, A. (2012). Visual merchandising as an antecedent to impulse buying: An Indian perspective. International Journal of Business and Management Studies 1(1), 267-277.
- Kouchekian M., & Gharibpoor, M. (2012). Investigating the relationship between visual merchandising and customer buying decision case study: Isfahan hypermarkets. International Journal of Academic Research in Economics and Management Sciences, 1(2), 268-279.
- Meenakumari, S. (2013). Role of visual merchandise in retailing of supermarkets in Chennai. Asia Pacific Journal of Marketing & Management Review, 2(9), 120-127.
- Mehta, N. P., & Chugan, P. K. (2013). The impact of visual merchandising on impulse buying behavior of consumer: A case from central mall of Ahmedabad India. Universal Journal of Management, 1(2), 76-82.
- Moayery, M., Zamanl, S., & Vazlfedoost, H. (2014). Effect of visual merchandising on apparel impulse buying behaviours among Iranian young adult females. Indian Journal of Science and Technology, 7(3), 360-366
- A Study of the Emerging Trends in Indian Residential Real Estate Structure in Bangalore
Authors
1 Alliance University, Karnataka, IN
2 Alliance School of Business, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 6, No 1 (2017), Pagination: 37-42Abstract
The present study examines emerging preferences of residential buyers in Bangalore's housing market. The buyer preferences are studied mainly to understand the housing structure coupled with facilities as offered by developers and desired by the customers. The study to large extent will help developers in Bangalore to create the right product offer for interested buyers and they should be able to increase their sales and revenues by offering the same. Most of the information available in real estate sector is about the preferred market, destination location or developer in particular market but the information on amenities and facilities desired by customers to make it convenient for them to stay, are not adequately available. The taste of customers is changing with their increased disposable income, fast-paced life and impact of self-service technology that has made some characteristics in housing projects less important and developed some innovative characteristics. This study brings out these preferences.
The variables covered in the study are type of housing prospective customers want to purchase, size of house/apartment they are looking for, size of the property, their budget, possession date, primary criterion to meet while purchasing the residential property, vaastu, puja room and servant room preferences, preference in style of kitchen, balcony usage purpose, flooring preference, window preference, amenities preference, maintenance payment preference, views on residential properties being sold online, preference in smart homes and green buildings, and last but not the least, perceptions of top developers in Bangalore.
The study also examines associations between some of the variables above, including gender and age differences in primary purchase criterion, preference for vaastu, puja room, and servant room, and preference for smart homes with green buildings, and so on.
Keywords
Buyers’ Preferences, Residential Housing Market, Housing Market Segment.References
- Bandopadhyay, A., & Saha, A. (2011). Distinctive demand and risk characteristics of residential housing loan market in India. Journal of Economic Studies, 38(6), 703-724.
- Bangalore Residential Market: Slow but Steady Growth in Sales Volume and Prices. (2013, February). Retrieved November, 2015, from http://icra.in/Files/ticker/Teaser_Bangalore Residential Market_25Feb13.pdf
- ICRA Research Services (2013), Bangalore Residential Market: Slow but Steady Growth in Sales Volume and Prices.
- Basu, S. (2014). Study of emerging trends in Indian residential real estate market with reference to Pune. Abhinav - National Monthly Refereed Journal of Research in Commerce & Management, 3(6), 70-83.
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- Doloi, H., Sawhney, A., Iyer, K. C., & Rentala, S. (2012). Analysing factors affecting delays in Indian construction projects. Indian Journal of Project Management, 30(4), 479.
- India Real Estate Report Q3. (2014). Business Monitor International, 1-84.
- Subramanyan, H., Sawant, P. H., & Bhatt, V. (2012). Construction project risk assessment: Development of model based on investigation of opinion of construction project experts from India. Journal of Construction Engineering and Management, 138(3), 409-421.
- Hooker, L. J. (2014). Residential real estate market Bangalore. Mid-Year Report.
- MacDonald, D. (2011). Solutions to Faulty Construction in India. Retrieved January, 2015 from www.thinkchangeindia.org.
- Mulky, A. G. (2014). Shodh - Market research for economy housing. Indian Institute of Management Bangalore, 1-13.
- Richards, R. (1939). The outlook for the residential real estate market. The Journal of Land & Public Utility Economics, 15(4), 397-403. doi:1. Retrieved from http://www.jstor.org/stable/3158725 doi:1
- Singh, V. (2009). Prospects and Problems of Real Estate in India. International Research Journal of Finance and Economics, 24, p.254. Euro Journals Publishing, Inc.
- www.ibef.org/industry/real-estate-india.aspx
- www.nhb.org.in/Publications/trends.php
- Impulse Purchase and Impulse Non-Purchase in Book & Stationery Retail Outlets in Shopping Malls
Authors
1 Alliance School of Business, Alliance University, Karnataka, IN
2 Acharya Bangalore Business School, Andrahalli Main Road, Bengaluru, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 7, No 1 (2018), Pagination: 32-37Abstract
Reading habits are changing fast. According to Majid and Tan (2007), reading was the third most preferred leisure activity among children after hobbies and playing on computer and/or the Internet. Reading habits of researchers have also changed; researchers now tend to scan the literature in a process more akin to ‘channel surfing’ than reading. This change in behaviour has also led to a change in the way a customer approaches books in physical stores. Increase in quantity and complexity of information available has transformed the decision making process of buying reading material. Environment factors like neatness, design, ambiance, staffs’ assistance, and other factors have started influencing the book purchase.
This paper examines the factors affecting impulse purchase and impulse non-purchase by shoppers in book and stationery retail outlets in shopping malls, as well as demographic patterns of the same. The variables included were the respondent demographics, along with store-related variables relating to the respondents’ perceptions of importance of visual appeal, ambience, price, discounts/promotions, service, shop floor assistance, variety, quality, in-store navigation, and operational execution in their purchase decisions in book and stationery retail stores in malls. It’s a descriptive study.
The result of this research shows that impulse non-purchase behavior is affected by shopper demographics than by store-related variables. On the other hand, impulse purchase was affected by both shopper demographics and store-related variables.
Keywords
Impulse Purchase, Impulse Non-Purchase, Book and Stationery Retails.References
- Applebaum, W. (1951). Studying consumer behaviour in retail stores. Journal of Marketing, 16, 32-40.
- Beatty, S., & Ferrell, E. (1998). Impulse buying: Modelling its precursors. Journal of Retailing, 74(2), 169-191.
- Clover, V. T. (1950). Relative importance of impulse-buying in retail stores. Journal of Marketing, 15(1), 66-70. Consumer Buying Habits Studies, E. I. du Pont De Nemours and Company, 1945, 1949, 1954, 1959, 1965.
- Han, Y. K., Morgan, G. A., Kotsiopulos, A., & Kang-Park, J. (1991). Impulse buying behavior of apparel purchasers. Clothing and Textiles Research Journal, 9(3), 15-21.
- Hussain, R., & Ali, M. (2015). Effect of store atmosphere on consumer purchase intention. MPRA Paper, University Library of Munich, Germany.
- Chang, H. J., Yan, R.-N., & Eckman, M. (2014).
- Moderating effects of situational characteristics on impulse buying. International Journal of Retail & Distribution Management, 42(4), 298-314.
- Kaur, A. (2013). Effect of visual merchandising on buying behaviour of customers in Chandigarh. International Journal of Engineering Science and Innovative Technology, 2(3), 247-251.
- Majid, S., & Tan, V. (2007). Understanding the reading habits of children in Singapore. Journal of Educational Media and Library Sciences, 45(2), 187-198.
- Rook, D. W. (1987). The buying impulse. Journal of Consumer Research, 14, 189-199.
- Abratt, R., & Goodey, S. D. (1990). Unplanned buying and in-store stimuli in supermarkets. Managerial and Decision Economics, 11(2), 111-121.
- Jamnani, M. A., & Daddikar, M. P. (2015). Influence of visual merchandising on customer buying decision - A case study of INMARK retail store. Asia Pacific Journal of Research, 1(30), 107-113.
- Khorrami, M. S., Esfidani, M. R., & Delavari, S. (2015). The effect of situational factors on impulse buying and compulsive buying: Clothing. International Journal of Management, Accounting & Economics, 2(8), 823-837.
- Stern, H. (1962). The significance of impulse buying today. Journal of Marketing, 26, 59-62.
- http://www.ibef.org/industry/education-sector-india.aspx accessed on 17th January 2017.
- Impulse Purchase and Impulse Non-Purchase in Apparel Retail Outlets in Shopping Malls
Authors
1 Alliance University, Bangalore, Karnataka, IN
2 Marketing, Acharya Bangalore B School, Bangalore, Karnataka, IN
3 Alliance School of Business, Alliance University, Bangalore, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 7, No 2 (2018), Pagination: 9-13Abstract
The aim of this study is to examine the factors affecting impulse purchase and impulse non-purchase by shoppers in apparel retail outlets in shopping malls, as well as demographic patterns of the same. The study is a quantitative research that is based on primary data collected through a structured questionnaire. The data were collected based on a sample of 300 shoppers visiting apparel retail stores in three major malls in Bangalore, India. The variables considered were identified through literature survey, and included the respondent demographics, along with store-related variables relating to the respondents’ perceptions of importance of visual appeal, ambience, price, discounts/promotions, service, shop-floor assistance, variety, quality, in-store navigation, and operational execution in their purchase decisions in apparel retail stores in malls. The results of the study show that impulse purchase behavior is more affected by shopper demographics than the store-related variables. On the other hand, impulse non-purchase was affected by both the shopper demographics and the store-related variables.Keywords
Impulse Purchase, Impulse Non-Purchase, Apparel Retail.References
- Clover, V. T. (1950). Relative importance of impulse buying in retail stores. Journal of Marketing, 15, 66-70.
- Cox, K. (1964). The responsiveness of food sales to shelf space changes in supermarkets. Journal of Marketing Research, 1, 63-67.
- Dash, M., & Akshaya, L. (2016). A study on the impact of visual merchandising on impulse purchase in apparel retail stores. International Journal of Marketing and Business Communication, 5(2), 37-44.
- Dawson, S., & Kim, M. (2009). External and internal trigger cues of impulse buying online. Direct Marketing: An International Journal, 3(1), 20-34
- Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3) 283-294
- du Pont, E. I. (1945, 1949, 1954, 1959, 1965). Consumer buying habits studies. De Nemours and Company.
- Hulten, P., & Vanyushyn, V. (2014). Promotion and shoppers’ impulse purchases: The example of clothes. Journal of Consumer Marketing, 31(2), 94-102.
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- Rook, D. W. (1987). The buying impulse. Journal of Consumer Research, 14(2), 189-199.
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- Competitive Analysis of Indian Tourism Aggregators using Multi-Criteria Analytic Hierarchy Process
Authors
1 Alliance School of Business, Alliance University, Karnataka, IN
2 Acharyabbs, Karnataka, IN
Source
International Journal of Marketing and Business Communication, Vol 7, No 3 (2018), Pagination: 10-18Abstract
Tourism has been a major social phenomenon in societies all over the world. It is driven by the human desire for new experiences, and the desire to be educated and entertained. The spread of education and the technological improvements in communication have strengthened the basic human thirst for new knowledge and experience and have fostered a desire to know more about different parts of the world.
Tourism has been revolutionised with the emergence of tourism aggregators, i.e. web-based portals that provide travellers with services such as travel, accommodation, and tour planning and booking. The tourism aggregators have reduced information search costs, and have increased the awareness of tourists of potential destinations. This has enabled some innovative trends in tourism, including eco-tourism, adventure tourism, heritage tourism, medical tourism, pilgrimage tourism, and so on.
The objective of the study is to compare the competitiveness of Indian tourism aggregators using the Analytic Hierarchy Process (AHP). AHP is a technique that is used to structure multi-criteria decisions, allowing both quantitative and qualitative comparisons between alternatives (Saaty and Forman, 1992; Saaty, 2008). The criteria used for the study include price, process, ease of access, and customer service. The tourism aggregators selected for the study include Yatra, Makemytrip, Goibibo, Cleartrip, Expedia, and Kuoni-SOTC.
Keywords
Tourism Aggregators, Travel Accommodation, Tour Planning, Analytic Hierarchy Process.References
- www.goibibo.com
- www.makemytrip.com
- www.sotcindia.com
- www.tripadvisor.in
- www.yatra.com
- www.expedia.com.in
- https://www.hotelnewsresource.com/pdf16/HVS091516.pdf
- http://tourism.gov.in/annual-report-2015-16
- http://tourism.gov.in/sites/default/files/Annual%20 Rreport%202015-16.pdf
- http://www.travelbizmonitor.com/images/India_Online_Travel_Industry.pdf
- https://www.tripsavvy.com/guide-to-travel-aggregators-3149865
- Adenwala, M. (2014). Impact of e-Commerce on Business Performance: A Study with respect to Travel industry. DY Patil University.
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- Fodness, D., & Murray, B. (1997). Tourist information search. Annals of Tourism Research, 37(2), 108-119.
- Fodness, D., & Murray, B. (1999). A model of tourist information search behavior. Journal of Travel Research, 37(2), 220-230.
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- Khare, A., & Khare, A. (2010). Travel and tourism industry yet to exploit the Internet fully in India. Journal of Database Marketing & Customer Strategy Management, 17(2), 106-119.
- Kumar, S., Singh, A. K., & Sharma, P. Information communication technology a new paradigm for tourism industry in India: An empirical analysis. Tourism Spectrum, 1(1), 10-15.
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- Saaty, T. L. (2008). Relative Measurement and its Generalisation in Decision Making: Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors - The Analytic Hierarchy/Network Process,” Review of the Royal Academy of Exact, Physical and Natural Sciences, Series A: Mathematics 102(2), 251-318.
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