INTRODUCTION:

Consumer cost for online grocery purchases and to propose the notion of “integrated service solution” packages as a approach for growing and successfully satisfying the channel to guide both marketing strategy and policy (Ronan De Kervenoael et., al 2006). Consumers' product evaluations are definitely affected by tangible interaction.

However, it is not known if it is related to goods that people usually touch for brief periods of time. Consumers' concrete perception of FMCGs by altering the surface texture. (Nigel Marlow et.,al 2011). Consumers are discussed how the motives to purchasing the product to online shoppers, as a means of explaining how the motives apply in the Internet setting. Non‐functional motives can be adapted to the twenty‐first century mode of online shopping (Andrew G. Parsons 2002). Fast Moving Consumer Goods (FMCG) move towards to branding needs to be used to for the services sector. The emphasis is placed on the elusive nature of services and corporate branding and how problems linked to offerings can be overcome the products (Malcolm H.B. McDonald et., al 2001). The apparent usefulness and perceived of use of SMS advertising messages, predicted the intention to use them. In addition, trust in SMS promotion and subjective norms also contributed to the intention to use (Jing Zhang and En Mao 2008). Online deal can lower the environmental online shopping under specific circumstances. Consumer’s behaviour in terms of travel, choice of e-fulfilment method and basket size are critical factors in influential the environmental sustainability of e-commerce. (Patriciavan Loon et., al 2015). The approach e-commerce business and second, to evaluate whether consumer returns are a central aspect of the creation of productivity and, if so, to discuss the role of returns management in the supply chain strategy (Klas Hjort and Björn Lantz et., al 2013). Consumers' in sequence to search and decision‐making processes for recent purchases of five categories of goods/services: fast moving consumer, white goods, small electrical products, green energy tariffs and tourism (McDonald, S 2009). Consumers' online group buying planned by institutional initiators. The initial one to specially focus on how perceived benefits and professed risks influence consumers' attitudes toward online group buying (Matthew Tingchi Liu 2013). The products and services selling over the Internet channel are becoming more dynamic. The part this is due to the increasing use of auction models in business and consumer markets to selling the commodities, excess inventories, used merchandise, rare items collectibles, and other items (P.K. Kannan, Praveen K. Kopalle 2014).

REVIEW OF LITERATURE:

Based on an wide literature review, the subsequent factors have been recognized the factors inducing the consumer buying behavior through online shopping in application in Fast Moving Consumer Goods.

Brand Awarness:

The physically powerful Indian brand have strong product equity, consumer demand-pull and able and dedicated dealer network which have been created over a period of time. The brand has to be made relevant by perceptive local needs. The offering the same product in different regions with different brand names could be adopt as a strategy (B Chandrasekhar 2012). Brand equity has posed a immense challenge to the companies in the Indian fast moving consumer goods (FMCG) industry (Bijuna C.Mohan and A.H. Sequeira 2016). Consumer respect to sales promotion and use of conjoint design in the study of brand preferences (Vyas, Preeta H. 2010). The consumers prefer some of the popular brands but they also prefer to use local brands also in any products (Gupta, S.L; Mittal, Arun 2008). Brand name salience, or the importance of a brand in remembrance, has been simultaneous to brand choice and buying the consumers. The brand salience for fast-moving consumer goods, which incorporate knowledge, media consumption, and brand image as experience (Julian Vieceli and Robin N. Shaw 2010).

Product Details:

The product and packaging improvement process within the fast-moving consumer goods (FMCG) industry. While often taking on the status of apocryphical folklore, labelled FMCG invention development appeared in the popular and consultancy press (Mark FrancisandPeter Dorrington 2008). Consumer diversity seeking behavior in various contexts in the past. This influence of determinants on fast moving consumer goods (FMCG) (Jayanthi, K.; Rajendran, G. 2014). The FMCG analysed from the perspective of processes, components and typology. The typical issues faced by the FMCG are also explored (Bala, Madhu; Kumar, Dinesh 2011). Retailer and competitor decisions supply to long-term promotional value, their part impact has yet to be evaluated (Koen Pauwels 2007). The association marketing and the reality of relationships in mass buyer markets from the regulars perception, with the focus on the fast moving consumer goods (FMCG) sector. It is found that from the consumers' perspective relationships do not and cannot exist in these markets and that the nature of exchange in such markets is not relationship based (Rose Leahy 2011).

Price Consciousness:

Consumers in India verify important control of brand functional benefits, brand trust, price consciousness, and genetic influence on brand loyalty. The marketers would have to balance the usual clear views of brand price with the emerging dimensions of brand migration in a aggressive context (Ramesh Kumar, S. Advani et., al 2005). Consumers make natural decisions connecting real brand in a required choice context. The segmented analysis indicates extensive differences, importance that the compromise effect is strong and considerable among quality seeking consumers, whereas the concession effect is weak and insignificant among price aware subjects (Holger Müller and Eike B. Kroll 2012). Consumer price segment can be general across product categories (Hans H. Stamerand Hermann Diller 2006). The product price knowledge and to expand dimension variables that succeed a people product price knowledge. The product price knowledge is a multidimensional build, the relationship between its dimensions is to be investigate and consumer kind are to be analyzed to influence these dimensions (Hans Pechtl 2008). Consumer produce company have followed a exacting construction in how they brand their products (Zahra Ladha 2007).

General Awarness:

Purchase a product or service of same or different brands or producers. charge in view the frame of references the present paper is an attempt to study the factors moving the purchase decision of consumers towards purchase of the Fast-Moving Consumer Goods (FMCGs) (SS Kundu 2013). Consumers control brands when they do not find the brand they wanted (Daniel Corsten and Thomas Gruen 2003). Fast -moving consumer goods (FMCG) purchases are made at the point-of sale, and creation packaging has been found to play a intentional role in purchase decision criteria. Packaging is, therefore, an important basis through which companies can discriminate products from the competing brands (Variawa and Ebrahim 2011). The contribute of high-quality printed packaging to the fast-moving, consumer-goods industry (FMCG) of two companies that manufacture consumer-packaged goods for retail customers (Pauline Found and Nick Rich 2007). Packaging material and knowledge employed in the food, beverage and other fast-moving consumer goods industries (T.A. Cooper 2013).

OBJECTIVES OF THE STUDY:

The main intention of the present study is to identify and explore the consumer’s buying behaviour through online shopping application in FMCGs. This study analyze the FMCGs consumer’s buying behaviour through online shopping application. The study aims to find the inducing factors sustaining the consumer’s in FMCGs.

METHODOLOGY:

The present study is both descriptive and analytical in nature, mainly based on primary data. This study carried out of the observation and survey questionnaire methods. The sampling technique involved in convenient sampling. The population of the present study consider of the consumer in Karaikudi. A sample size of total 320 respondents was selected using convenience sampling. Data were collected through a structured questionnaire which was prepared through extensive review of literature. The questionnaire consisted of 14 items related to various factors inducing the consumer behaviour. Statistical technique such as Percentage analysis, Correlation, Reliability analysis, exploratory analysis, and weighted average rank was on the data using SPSS20.0.

DATA ANALYSIS AND RESULTS:

1. Demographical Profile of Respondents:

Of the total respondents 320, 232 (72.5%) were male; whereas, the 88 (27.5%) were female, which shows that the sample was tilted towards male respondents. Majority of the respondents were in the age category of 21-23 years (44.7 %), 24-27 years (70 %), and above 27 years (69%), 17-20 years (11.9 %). Majority of the respondents were in the degree (45%). 17.5 % of the respondents in PG, upto 10^th std 16.9 % of the respondents, 10.6% of the respondents in 12^th std, 10% of the respondents were professional.

Table.1 Demographic profile of the respondents

Variable Name	Categories	Frequency	(%)
Age	17-20 years	38	11.9
	21-23 years	143	44.7
	24-27 years	70	21.9
	Above 27	69	21.6
Gender	Male	232	72.5
Gender	Female	88	27.5
Education	Upto 10^th Std	54	16.9
	12^th Std	34	10.6
	Degree	144	45
	PG	56	17.5
	Professional	32	10
Ocupation	Farmer	34	10.6
	Businessman	82	25.6
	Govt.Employee	123	38.4
	Private Employee	81	25.3
Annual Income	Upto to Rs. 1,00,000	34	10.6
	2,00,000 to 3,00,000	82	25.6
	4,00,000 to 5,00,000	123	38.4
	Above Rs. 5,00,000	81	25.3

(Source: Primary data)

Occupation of the respondents were 38.4% of the respondents government employee, 25.6% of the respondents businessman, 25.3% of the respondents private employee, 10.6% of the respondents farmer. Moreover, respondents having income Rs.4,00,000- 5,00,000 were 38.4%, 2,00,000-3,00,000 were 25.6%, above Rs.5,00,000 were 25.3% of the respondents, upto Rs.1,00,000 were 10.6% of the respondents in annual income.

2. Weighted Average:

The factors are available in the study online application to purchasing the fast moving consumer goods. The Weightage of 8^th for 1^st rank, 7^th for 2^nd rank, 6^th for 3^rd rank, 5^th for 4^th rank, 4^th for 5^th rank, 3^rd for 6^thrank, 2^nd for 7^th rank, 1^st for 8^th rank.

Table.2 Weighted Average Rank

S. No	Factors	Weight								Total	Weigthted Average Rank	Rank
		8	7	6	5	4	3	2	1
		Weighted Score
1.	Bigbasket	424	315	96	100	204	132	112	35	1418	4.43	V
2.	Malligakai.com	328	273	234	190	88	159	78	49	1399	4.37	VI
3.	Amazon	280	392	264	255	80	48	90	53	1462	4.56	IV
4.	Mandi	552	504	270	175	152	75	44	14	1786	5.58	I
5.	Reliance	464	315	300	200	120	159	48	20	1626	5.08	II
6.	Bigbazaar	392	273	318	110	152	117	78	41	1481	4.62	III
7.	Paytmmall	112	154	150	190	140	135	144	69	1094	3.41	VIII
8.	Snapdeal	160	168	318	150	160	150	90	58	1254	3.91	VII

Weight score= weight* No. of respondents Weighted average rank= Total/ sum of weight

Table.4 Extracted factors: Loading, Eigen value, Communality, Variance Explained, Cronbach’s Alpha

S.No	Variable	Factor Loading	Communality	Eigen Value	Variance Explained	Cronbach’s Alpha
Factor 1 Brand	Brand name	0.741	.580	4.622	33.015%	.913
	Brand Loyalty	0.667	.597
	Brand Logo	0.749	.667
	Brand visibility	0.885	.790
Factor 2 Product	Product experience	0.836	.730	1.632	11.658%
	Product color	0.744	.642
	Quality	0.661	.570
	Quantity	0.754	.617
Factor 3 Price	Special offer	0.796	.648	1.363	9.735%
	Easy Availability	0.691	.521
	Price content	0.740	.621
Factor4 General	Availability	0.683	.538	1.081	7.725%
	Packaging	0.804	.653
	Dignity	0.673	.525

Reliability and Validity:

Reliability coefficients for all four factors is more than the recommened value 0.7 (table 4).

4. Descriptive Statistic:

The table 5 gives the mean and standard deviation of the factors from the exploratory analysis. The table 5 shows that brand name ( Mean= 2.11, S.D= 1.142), Product experience (Mean= 2.13, S.D= 1.230), Special offer (Mean= 2.18, S.D= 1.062), Brand loyalty (Mean= 2.28, S.D= 1.166), Product color (Mean= 2.20, S.D=1.193), Brand logo (Mean= 2.12, S.D=1.146), Easy availability (Mean= 2.30, S.D= 1.112), Quality of product (Mean=2.43, S.D= 1.227), Price content (Mean= 2.29, S.D= 1.269), Quantity of product (Mean=2.56, S.D=1.248), Availabilty (Mean= 2.28, S.D= 1.166), Packaging (Mean=2.20, S.D=1.193), Brand visibility (Mean=2.12, S.D= 1.146), Dignity (Mean=2.30, S.D=1.112).

Table.5 Descriptive Statistics

S. No	Variable	Mean	S.D
1	Brand name	2.11	1.142
2	Product experience	2.13	1.230
3	Special offer	2.18	1.062
4	Brand loyalty	2.28	1.166
5	Product color	2.20	1.193
6	Brand logo	2.12	1.146
7	Easy availability	2.30	1.112
8	Quality of product	2.43	1.227
9	Price content	2.29	1.269
10	Quantity of product	2.56	1.248
11	Availabilty	2.28	1.166
12	Packaging	2.20	1.193
13	Brand visibility	2.12	1.146
14	Dignity	2.30	1.112

5. Correlation:

Measure the relationship among the dependent and independent variables with pearson test. The table.6 shows that correlation (r) of brand name is 1, Product experience is 0.588, Special offer 0.436, Brand loyalty 0.398, Product color 0.471, brand logo 0.464, Easy availability 0.206, Quality of product 0.301, Price of content 0.241, Quantity of product 0.136, Availability 0.398, Packaging 0.471, Brand visibility 0.464, Dignity 0.206. This indicate a significant positive relationship between the dependent variables and the independent variables, consumer purchasing inducing the FMCG products. The table shows that for all entire variables, the p-value is 0.000, which is less than 0.01. Therefore, the null hypothesis in this research can be rejected and concluded that there is a positive relationship between the independent variables and dependent variables of the consumer inducing the FMCG products.

Table 6. Correlation

S. No	Variables	Pearson Correlation	Sig
1.	Brand name	1.000	.000
2.	Product experience	0.588	.000
3.	Special offer	0.436	.000
4.	Brand loyalty	0.398	.000
5.	Product color	0.471	.000
6.	Brand logo	0.464	.000
7.	Easy availability	0.206	.000
8.	Quality of product	0.301	.000
9.	Price content	0.241	.000
10.	Quantity of product	0.136	.000
11.	Availabilty	0.398	.000
12.	Packaging	0.471	.000
13.	Brand visibility	0.464	.000
14.	Dignity	0.206	.000

DISCUSSION:

The objective of the study is to classified and explore the behaviour of consumer’s buying behaviour through online shopping application in FMCGs. This study analyse the behaviour of consumer purchasing the online shopping application. The study aims to find the inducing factors sustaining the consumer’s in FMCGs. The results of factor analysis extracted four factors Brand name,Product details, Price consciousness, General awareness. The consumer perceived excellent quality into greater within the services than FMCG and durables (Kavita Srivastava, NarendraK. Sharma 2013). The shopping orientation is one the various factors influencing the online shopping for behaviour to FMCG.The study suggests that with increased shopping orientationare much more likely to purchase FMCG online (S Sambargiand RK Gopal 2016). Consumer buying conduct is understood also as customer selection making is the procedure via which individuals seek for select, purchase, use, and goods and services to satisfy require needs. This study has been designed to answer predominant question about the function of social media advertising and marketing on purchaser buying conduct in very lively field which is style retail industry,then determine the variations if existed on this relation concerning to the call of the brands anconsumer demographics factors (Adnan Veysel Ertemel et.,al 2016). Online gambling experiment handy 24/7 to check the drivers of behavioural retention. It observed that habit, no longer patron satisfaction, had a strong effect on a variety of responses tied to retention (BillJolley 2006). The internet shopping and the connection between the frame of mind and the impact factors were investigated (ShwuIng Wu 2003). The impact of level of IIT on customer view of online retail condition, shopping satisfaction, shopping contribution, a longing to remain, and support aim. Noteworthy auxiliary connections between these exploration factors were discovered, supporting a delight arranged reasonable model of shopper support conduct in the web based retailing condition (JihyunKim 2007). Shoppers worldwide can shop online 24 hours per day, seven days per week, 365 days per year. The market parts, including protection, budgetary administrations, PC equipment and programming, travel, books, music are encountering quick development in online deals (Steven Bellman et., al 2009).

CONCLUSION:

The present study explore four important factors brand name, product details, price consciousness, general awareness which are the major factor of consumer through online shopping. Online shopping is valuable resources to the important consumer purchasing the products. Online shopping is more valuable to consumers. consumer behaviour purchasing time saving and more benefited to the online applications. However, consumer’s influencing purchasing the online application in FMCG products. The inducing factors sustaining the online application in Fast Moving Consumer Goods.

ACKWOLEDGEMENT:

This article has been written with the financial support of RUSA 2.0 Grant vide letter no. F24-51/2014-U Policy (TN-Multi-Gen), Department of Education, Government of India, dated 09.10.2018.

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Received on 26.03.2020 Modified on 18.04.2020

Asian Journal of Management. 2020;11(3):315-320.

DOI: 10.5958/2321-5763.2020.00049.9

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.847
Bartlett's Test of Sphericity	Approx. Chi-Square	1412.283
	df	91
	Sig.	.000