| © 2024 JETIR June 2024, Volume 11, Issue 6 www.jetir.org (ISSN-2349-5162) |
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| “IMPACT OF ONLINE SHOPPING ON |
| CONSUMER BUYING BEHAVIOR” |
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| Himani Gupta |
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| MBA, ITM University, Gwalior, India |
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| ABSTRACT |
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| The Availability Of The Internet In Shopping Has Drastically Impacted Shopping Practices, Thus Changing |
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| The Nature Of Shopping. The Purpose Of This Research Is To Uncover The Various Ways Through Which |
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| Online Shopping Influences The Behavior Of Consumers In Relation To Purchasing. The Availability And |
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| Flexibility Of The Online Systems Have Greatly Endowed The Consumers With Incomparable Influence Over |
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| Their Purchasing Processes Through Price Comparison, Information Retrieval, And Product Variety. |
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| Furthermore, The Synergy Of Recommendation And Targeted Advertisement Has Accorded The Control Of |
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| Consumers’ Choices To The E-Commerce Platforms. However, This Change Also Brings Problems, Such As |
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| On-Line Shopping, Trust In Data Privacy, Reliability Of Information And Susceptibility To Impulse Buying |
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| Due To Convenience Of Shopping. Studying These Dynamics, This Research Intends To Contribute To The |
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| Understanding Of How E-Shopping Changes A Consumer’s Behavior And What Strategies Both Business |
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| And Policy-Making Can Apply To This Novel Environment. The Study Indicates That Despite The Presence |
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| Of Several Advantages In Online Shopping, It Is Imperative To Counterbalance Its Risks In Order To Secure |
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| A Healthy Future For Consumers. |
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| The Study Adopts An Exploratory Approach, Utilizing A Survey Method For Data Collection. A Sample Of 300 |
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| Consumers From The College Students Is Selected Using Simple Random Sampling Technique. Data Is |
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| Collected Primary Sources, Employing A Questionnaire And Reviewing Published Sources. The Collected Data |
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| Is Analyzed Using Qualitative And Quantitative Techniques, Including T-Test, Multiple Regression, And |
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| MANOVA, With The Assistance Of IBM SPSS Software. |
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| Keywords- Online Shopping, Consumer Behavior, E-Commerce, Purchasing Patterns, Consumer Preferences, |
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| Digital Marketing, Impulse Buying, Price Comparison, Product Reviews, Personalization, Data Privacy ,User |
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| Experience , Consumer Trust, Shopping Convenience, Market Trends, Retail Transformation, Online Retail, |
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| Customer Satisfaction, Buying Decision Process, Mobile Shopping |
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| © 2024 JETIR June 2024, Volume 11, Issue 6 www.jetir.org (ISSN-2349-5162) |
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| INTRODUCTION |
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| The Internet And Digital Technology Have Revolutionized The Shopping Process, Offering Consumers |
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| Unprecedented Convenience. Online Shopping Has Significantly Impacted Consumer Buying Behavior And |
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| Transformed The Retail Market. This Study Explores How Online Shopping Influences Purchasing Decisions |
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| In The Twenty-First Century. By Enabling Customers To Browse Extensive Product Menus, Read Reviews, |
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| And Make Purchases From Anywhere At Any Time, Online Shopping Has Disrupted Traditional Retail. The |
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| Availability Of Diverse Products And The Convenience Of 24/7 Shopping Have Become Key Factors In |
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| Shaping Consumer Behavior, Highlighting The Need For Businesses To Adapt To This Evolving Digital |
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| Landscape. |
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| CONCEPTUAL FRAMEWORK |
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| Online shopping |
| platform |
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| consumer buying |
| behaviour |
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| Convenience of |
| online shopping |
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| Availability of |
| delivery |
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| REVIEW OF LITERATURE |
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| Mehmood And Umar (2020): Among All The Most Recent Literature Reviews Focusing On The Impact Of |
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| Online Shopping To The Purchasing Behavior Of Consumers, Mehmood And Umar’s (2020) Proposal Is |
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| Indeed Exceptional. They Dwell On How E-Shopping Websites Impact On Consumers’ Buying Preferences |
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| Focusing On Issues Like; Easy, Easy Easy Access, And An Analysis Of The Roles Of Online Consumers’ |
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| Reviews Towards Buying Decision. According To The Review, Contemporary Issues To Pursue In The |
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| Framework Of The Consumer Behavior Analysis Are The Strategies In Providing Customer-Oriented Services |
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| And Psychological Aspects Of Telecommunication. |
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| Karim &Imam (2021): Investigating The Factors That Impact Online Shopping And Sales Promotion On |
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| Consumer’s Impulse Buying Behavior: A Gender-Based Comparative Study In The UAE An Impulse |
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| Purchase Is A Useful Concept To Any Researcher Involved In The Understanding Of Consumer Behavior Or |
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| Buying Decision. Therefore, The Purpose Of This Paper Is To Compare The Consumer Influence On The |
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| Online Shopping And Sales Promotion, Taking Gender Differences Into Account Within The UAE Context. |
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| The Survey Questionnaire Used Was An Online Google Form, With The Total Respondents Targeted Being 70 |
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| But Only 46 Were Received. Of The 46 Respondents, 24 Were Females While 22 Were Males. Concerning |
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| Data Collection, A Quantitative Method Was Employed, And Based On The Findings; Online Shopping And |
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| Use Of Sales Promotion Tools Affect Consumer Behavior. E-Shopping Is Gradually Attracting The Attention |
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| Of The Individuals Across The Globe While Still At Its Infancy In Most Of The Countries. Today, The World |
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| Is Running Towards Online Shopping Not Just To Save Money And Time But Also Because Of Changing |
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| Trends In Different Nations. Online Purchases Have Been Embraced Well In The Developed World While In |
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| The Developing World, People Still Prefer Going To The Physical Shops And Malls For Their Shopping. We |
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| Want To Look Into As To Why Though There Is A Development Of This Form Of Marketing; The Market Is |
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| Not So Strong For Online Shopping In A Country Like United Arab Emirates (UAE) As Compared To A |
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| Country Like United States Of America (USA). That Is Precisely Why We Are Particularly Interested In |
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| Consumers’ Attitude Towards Online Shopping In The UAE (Saxena, 2019). Regardless Of The Effort Made |
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| By Individuals And Organizations To Avoid Sales Promotion Activities, Impulse Buying Increase Each Year. |
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| It Also Aims At Analyzing The Influence Of Gender On Impulse Buying In This Research. Some Scholars |
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| Have Sought To Provide Empirical Evidence To Support This Hypothesis That Female Buyer Are More Pre- |
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| Disposed To Impulse Buying. We Have Tried To Discuss This Aspect At Length. This Research Has Aimed |
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| At Assessing The Impulse Buying Behavior Among The Consumers In The UAE. |
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| Ahmed&Islam (2022): A Survey On Consumer Buying Behavior In Bangladesh Consumer Behavior And |
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| Attitudes Has Been Enhanced In All The Countries Across The World Due To The Influence Of The Internet. |
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| This Has Led To The Development Of Online Shopping, Which Has Greatly Affected The Lives Of Normal |
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| Continue Young Generation. Despite That Online Buying Has Been In Practice In Bangladesh For Quite Some |
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| Time Now, Consumers, Especially The Older Ones, Are Not That Much Inclined Towards It. An Online Self- |
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| Constructed Survey With 150 Bangladeshi Participants Was Employed In The Study To Attempt To Identify |
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| © 2024 JETIR June 2024, Volume 11, Issue 6 www.jetir.org (ISSN-2349-5162) |
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| The Customer Behavior Related To Online Purchasing. As Per The Report, A Greater Number Of Customers |
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| Prefer To Order Their Products And Services Online, Which Saves Their Time While They Can Access More |
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| And Better Services And Products. Males, As Well As Females, Have Roughly Similar Attitudes On Online |
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| Shopping: They Support Home Delivery And Oppose Low Return Policy. Normally, They Obtain Information |
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| On Online Shopping From Social Networks And The Use Of Cash On Delivery When Purchasing Apparels |
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| And Accessories. This Is Due To The Fact That The Consumers Are Very Sensitive To The Payment System, |
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| And They Do Not Want To Use Any Credit Or Debit Card To Buy Any Product Or Service. This Research |
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| Also Depicted That The Favorable Impressions Of Consumers Towards Online Buying Are Unbalanced. |
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| Rahman Hossain (2022) The Impact Of Website Quality On Online Compulsive Buying Behavior: Although |
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| Various Prior Research Studies Have Prominently Focused On This Purpose, This Study Examined The Effect |
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| Of Client Website Quality On Online Compulsive Buying Behavior (OCBB) As Well As Online Impulsive |
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| Buying Behavior (OIBB) While Using An Online Shopping Organization Situated In The Context Of A South |
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| Asian Country. Design/Methodology/Approach The Authors Analyzed The System In Light Of The Research |
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| Model Employed To Test The Interconnectivity Of The Study Variables As Prescribed. To Ensure That The |
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| Authors Gathered Primary Data For This Investigation, They Employed An Online Survey Form For 350 |
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| Participants Whose Responses Related To Social Media. Covariance-Based Structural Equation Modeling Or |
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| CB-SEM Was Adopted To Assess The SRM And Data. H5: It Was Established That The Quality Of Online |
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| Shopping Websites Readily And Positively Correlate With The UCC And OIBB And That These Have A |
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| Positive Impact On The Consumers’ OCBB. |
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| Shahzad &Javed (2019) The Impact Of New Trends In Online Shopping On The Buying Habits Of |
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| Customers: Title A Case Study This Research Paper Aims To Establish An Understanding Of The Influences |
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| That Determine Consumers’ Buying Behavior Concerning Online Shopping. Something Novel Which Has |
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| Recently Emerged To Ensure That People Can Be Able To Purchase Anything That They Want Through The |
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| Internet Is Referred To As Online Shopping. These Are Time, Product Variety, Convenience And Privacy, The |
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| Five Factors That Have Sprung Out Of Consumer-Buying Behavior The Current Phenomenon In Online |
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| Shopping As Highlighted In This Study. The Data Was Gathered By A Measuring Instrument That Was |
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| Created With The Primary Objective Of Quantifying The Level Of Green Washing. This Was A Research |
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| Which Was Based On The Personal Design And Construction Of The Questionnaire, Which Covered Two |
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| Parts With Huge Dissimilarities. Judging From The Information Gathered It Can Be Noted That Both In |
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| Anyway That Trust And Convenience Is Perceived Will Have An Influence To A Reasonable Degree On |
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| ‘‘Purchase Decision- Online Or Physical Shops”. Out Of All The Factors, Trust Stood Out And Is Likely To |
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| Play A Very Significant Role In Influencing The Buying Behavior Of The Participants In Online Shopping |
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| Especial To The Generation Y. |
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| Mittal & Gupta (2023) Investigation Of Consumer Attention Toward Online Shopping And Its Effectiveness |
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| Through Statistical Techniques International Conference On Electronics, Computer And Computation The |
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| Internet Has Become A Popular Store As The Variety Of Platforms Can Be Seen Now-A-Days. To Explore |
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| The Channel Of Shopping Consumer Behavior A Number Of Researchers And Industries Are Working Hard |
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| To Develop The Proper Model For Analyzing Consumer Satisfaction. Since The People Over The Internet Are |
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| Searching A Lot Over The Web According With Their Own Interest, The Data Is Gathered By The Platform |
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| And Analyze It For Finding The Consumer Behavior To Enhance The Search And The Platform. Therefore, It |
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| Is Also Important To Have The Analysis Of Self-Congruence, Impulse Buying And The Price Sensitivity |
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| Factors That Actually Have Direct Or Indirect Effect On The Favorable Consumer Perception. The Goal That |
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| Is Proposed In The Given Research Is To Analyze The Above-Mentioned Parameters And Construct The |
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| Model That Will Determine The Dependent Position Of Each Of The Parameters On The Other One. We Put |
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| Forward Some Of The Possibilities After Considering And Assess Us On The Basis Of Some Statistical |
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| Method. The Overall Sum Total Of Subjective Functions From N To N Is Equal To 2^N, Which Is However |
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| Not Very Bad. |
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| Raza Nikhat (2022): Effect Of Corona Virus On Buying Behaviour Consumers All Over The World Has Been |
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| Affected Due To The Change In Behavior Due To The Outbreak Of Corona Virus Disease In India Particularly |
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| During The Second Wave. People Of The Country Are Feeling Insecure Due To This Fatal Virus That India Is |
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| Going Through The Worst Crisis Since Independence. COVID Has Altered The Behavioral Pattern In Terms |
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| Of Consumer Buying And Their Method Of Shopping. When The Corona Virus Started Spreading, Consumer |
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| Optimism Reduced In India Too. People Are Concerned With Security Of Their Own And Of Their Closest |
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| Ones. Most People Are Trying To Attend To Their Work While They Stay At Home And Only Venture Out |
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| To Purchase Items That They Need. This Crisis Has Impacted Brand Image, The Choice Of Product Categories |
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| And Brands, Purchase Behavior, And Expenditure. Since Purchase Decision, People Are Spending More On |
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| Their Health And Hygiene Products And Going For Home Delivery Rather Than Market Shopping. Due To |
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| Fear Of Contact, Many People Have Resorted To Using Digital Transactions, Hence Making Low Touch |
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| Activities. The Aim Of This Paper Is To Review The Effects Of Corona Virus On Consumers. |
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| Mazhar&Jamil (2023): The Dimensional Impact Of Escapism On Users’ Ecart Abandonment: Mediating |
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| Role Of Attitude Toward Online Shopping Purpose. This Study Therefore Seeks To Establish The Influence |
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| Of Escapism Motives (Self-Suppression And Self-Expansion) And Attitude Toward Online Shopping (ATS) |
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| On Ecart Abandonment While Adopting The Uses And Gratification Theory (UGT) And The Online Buying |
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| Behavior Theory (OBBT). Furthermore, The Moderating Role Of ATS On Escapism Motives And E-Cart |
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| Abandonment Is Investigated. Research Design/Methodology: The Data Of 400 Consumers Was Analyzed |
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| Using Structural Equations Modeling (Using AMOS 26). Implication It Revealed That There Is Relationship |
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| Between Motivation Towards Escapism And E-Cart Abandonment, Where Attitude Towards Online Shopping |
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| Acted As A Moderator. Implications In Substantive Terms, The Implication Arising From The Findings Of |
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| This Study Are That Online Sellers Should Adopt And Comprehend Consumer Motives For Website Use. In |
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| Response, Efforts Should Be Made To Come Up With Better Strategies In Minimizing E-Cart Abandonment. |
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| Originality/Value This Study Contributes To The Existing E-Cart Abandonment Literature Through |
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| Theoretical Incorporation Of UGT And OBBT And The Extrinsic And Intrinsic Factors That Lead To E-Cart |
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| Abandonment. Second, It Is One Of The First Studies To Explore The Cross-Dimensional Effect Of Escapism |
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| On E-Cart Abandonment. |
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| Bhosale & Pawar (2020): The Role Of Perception In The Buying Behavior Of Consumers: The World Has |
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| Become A Global Village But Business Has Become Local. In Other Words, One Can Refer To Them As |
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| ‘Global’. Due To The Massive Use Of Cell Phones In The Market And Affordable Data, The Buying Behavior |
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| Of The Consumer Has Shifted Towards Online Buying, And Therefore, Showing Significant Rise In Internet |
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| Buyers. The Following Are Some Of The Reason That Can Be Attributed To The Increase Of Online |
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| Consumption Of The Good Across All The Platforms. Elements Such As Perceived Economic Benefits, |
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| Perceived Usefulness Or Ease Of Use, Trust On The Website, Perceived Risk Factors, Easy Returns Policies |
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| Without Asking Questions, Are Some Of The Major Determinants Influencing Buyer Perception When |
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| Shopping Online. A Vast Number Of Customers Have Adapted To Online Shopping, And Hence, They Are |
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| Moving Away From Physical Stores. The Underlying Factors Have Come Out To Mean That Online |
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| Businesses Have Gained High Revenues Than Before. In View Of This, Efforts Have Been Made In This |
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| Paper To Analyze The Various Factors And Their Influence On Buying Behaviour. |
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| Sari Hermawati (2020): Impact Of Shopping Lifestyle, Hedonic Shopping Motivation And Sales Promotion |
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| On Impulse Buying In E-Commerce: A Study Of Berrybenka Consumer Increasing Usage Of Internet And The |
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| Upward Trend Of E-Commerce In Indonesia Have Influence Consumer Behavior In The Shopping Process. |
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| One Of The Models Of Shopping Channels, Which Are Currently Popular In The World As The Alternative |
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| To The Traditional Shopping Systems Which Require Shoppers To Come To Shops, Is A Shopping System |
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| Online. Therefore, The Following Hypothesis Are Postulated For This Research: There Is An Influence On |
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| Shopping Lifestyle, Hedonic Shopping Motivation And Sales Promotion On Impulse Buying In Berrybenka |
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| Consumer. The Participants In This Research Are Customers Who Have Ever Made Purchases At Berrybenka |
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| E-Commerce Either Through Websites Or Applications. The Type Of Sampling Used In This Study Was Non- |
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| Probability Sampling Purposive Sampling Technique. The Type Of Data Analysis That Have Been Employed |
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| In This Study Is The Descriptive Analysis And The Confirmatory Factor Analysis (CFA). The Results Of The |
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| Hypothesis Test Indicate That The Shopping Lifestyle Has A Significant Impact On The Impulse Buying |
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| Behavior While Hedonic Motivation To Shop And Sales Promotion Do Not Have Influence On The Impulse |
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| Buying Behavior |
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| Yasmeen Khalid (2016): The Most Brilliant Element Of Promotion Mix Is The Advertisement. Online |
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| Advertisement Is More Appealing To The Consumer Than Any Other Form Of Advertisement That Is Out |
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| There Because It Employs Different Ways Of Putting Across An Idea. Some Of The Classifications Identified |
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| From The Study On Consumer Behaviour Of Internet User Include The Explorer, Entertainment, Shopping, |
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| And Information Group Of The Users. The Goal Of This Research Endeavor Is To Focus On The Effects Of |
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| Online Advertisements In The Purchasing Decision Making Process Of Consumers Solely From The |
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| University Students Category. In The Study There Are Five Independent Variables Of The Study And The One |
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| Variable Is Dependent Variable. In The Case Of The Study Respondents’ Data Is Compiled From 300 Samples |
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| And Transferred To SPSS And Using The Multiple Regression To Arrive At The Conclusion. The Study |
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| Concludes That 56% Of Fathers Believe That It Is Acceptable For Fathers To Work While Mothers Should |
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| Stay At Home And Take Care Of The Kids. 4% Fluctuation In The Dependent Variable Would Be Attributed |
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| To The Independent Variable And It Was Found That Online Advertisement Had A Positive Influence On The |
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| Consumer Buying Behavior And It Will Be A Large Segment. |
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| Agrawala Subudhi (2020): Impact Of Online Shopping Attributes On E-Buying Behavior: In The Recent |
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| Past, Online Shopping Has Become One Of The Most Prevalent Modes Of Shopping Due To The Growing |
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| Internet Literacy Across The Customers. This Has Resulted In The Emergence Of New Sites That Offer |
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| Products And Services Through The Internet, Which Are Also Called The Ecommerce Or Online Shopping |
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| Sites. The Contemporary Customers Are Highly Selective And Offer Several Actions And Reactions During |
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| The Product Purchase Via The Internet. The Purpose Of This Paper Is To Find Out The Impact Of Several |
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| Online Shopping Characteristics On Online Buying Behavior/Buying Behavior In As Far As Customer |
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| Experience Is Concerned Which Are; E-Retail Website Characteristics; Privacy & Security, Website |
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| Ambience, Website Navigation & Design, Trust, Order Fulfillment & Customer Service, Interactivity & |
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| Connectivity & Consumer Characteristics; Perceived Self- Efficacy & Ease Of Use, Perceived Skills While |
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| Shopping, Perceived Control While Consequently, This Research Identified That Privacy And Safety Factors |
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| As The Most Impactful In Shaping The Buyer Experience When Engaging With Online Shopping Websites. |
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| This Paper Also Established That The Most Relevant Consumer Characteristic Regarding Online Shopping Is |
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| ‘Perceived Self Efficacy And Ease Of Use’. |
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| Mishra Subudhi (2023): Retail Buying Behavior: Empirical Analysis On Retail Format Choice In Recent |
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| Years, Retail Has Emerged As One Of The Biggest Domains Of Marketing And Has Garnered Significant |
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| Attention In The Last Two Decades. This Retail Battle Because Of Intense Competition Has Changed The |
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| Face Of Retail Going Beyond Traditional Concept Of Retail Store. Consumer Are Establishing Their Store |
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| Both In The Physical And The Online Market Places Through Much New Advancement Like For Example |
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| The Click And Mortar Retail Business. The Objectives Set In This Research Study Were To Shed A Light On |
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| The Effects Of Online Shopping Attributes With Special Reference To The Web Site Attributes |
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| (Personalization, Ease Of Use, And Sociality On The Buying Behavior In Term Of Online Experience. The |
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| Paper Also Majorly Highlights The Consequences Of Differentiating Offline Shopping Attributes (Namely- |
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| Ambience And Positive Sociality) On Offline Buying Behavior In Reference To Offline Shopping |
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| Experiences. In Order To Do The Data Analysis Of The Study The Statistical Tools Such As Chi-Square Tests |
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| And Regression Analysis Were Used Using The Help Of SPSS Software. The Research Study Done By Patel |
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| Suggests That, Out Of All The Variables, “Personalization” And “Ease Of Use” Has Influence On The Online |
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| Shopping Pleasantness While “Ambiance” On Offline Shopping Pleasantness. |
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| OBJECTIVE |
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| To Identify The Impact Of Online Shopping Platforms As Independent Variable On Consumer Buying |
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| Behavior. |
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| To Identify The Impact Of Convenience Of Online Shopping As Independent Variable On The Consumer |
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| Buying Behavior. |
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| To Identify The Impact Of Availability Of Delivery As Independent Variable On Consumer Buying |
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| Behavior. |
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| To Open New Areas Of Future Research. |
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| HYPOTHESIS |
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| 1) H1: There Is No Impact Of Online Shopping On Consumer Purchase Intention Towards Consumer Buying |
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| Behavior. |
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| 2) H2: There Is No Impact Convenience Of Online Shopping On Consumer Purchase Intention Towards |
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| Consumer Buying Behavior |
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| 3) H3: There Is No Impact Of Availability Of Delivery Options Of Endorser On Consumer Purchase Intention |
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| Towards Consumer Buying Behavior |
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| RESEARCH METHODOLOGY |
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| The Study: The Study Was Causal In Nature With Survey Method Being Used For Data Collection And The |
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| Study On The Impact Of Online Shopping On Consumer Buying Behavior Is Important Because It Sheds Light |
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| On How Consumers Make Decisions, And Provides Businesses And Marketers With Valuable Information To |
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| Influence Consumer Behavior. Furthermore, This Study Can Also Contribute To The Overall Understanding |
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| Of Consumer Psychology And The Role Of Conflicting Thoughts And Emotions In Decision-Making. |
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| Sample Design: |
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| Population: Population Includes College Students Who Belong To Gwalior District. |
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| Sample Frame: Individual Consumers Will Be The Sample For The Research; The Sample Has Been Divided |
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| On The Basis Of Psychographic In Nature. Total Of 300 Students Are Selected As A Sample From Population |
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| By Using Simple Random Sampling Technique. |
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| Sampling Technique: Sampling Has Been Done On The Basis Of Simple Random Sampling To Collect The |
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| Data |
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| Sampling Size: The Sample Of 300 Students Is Selected Out Of The Population Of Gwalior District Region |
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| To Get The Findings For The Research. |
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| Tools Used For Data Collection: Standardized Questionnaire Will Be Used For The Collecting Response |
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| From The Various Respondents To Evaluate The Impact Of Online Shopping Platform, Availability Of |
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| Delivery Option, Convenience Of Online Shopping On Online Purchase Intention. This Questionnaire Was |
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| Designed On A Likert Scale Of 5 Points Where 1 Stands For “Strongly Disagree" And 5 Stands For "Strongly |
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| Agree “To Collect Quantitative Data. |
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| Tool Used For Data Analysis: |
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| Reliability Test Was Applied To Check The Reliability Of Questionnaire. |
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| Regression |
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| Correlation |
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| RELIABILITYTEST |
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| Reliability Coefficient Was Applied By Using SPSS Statistics Software On Questionnaire Of Customer Online |
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| Shopping Platform, Convenience Of Online Shopping, Availability Of Delivery And Consumer Buying |
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| Behavior Towards To Sell The Product Online. The Liability Test Values Of All Questionnaires Are Given |
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| Below: |
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| Tableno.1 |
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| S.No |
|
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| Variable Name |
|
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| Cronbach’sAlpha |
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| No. Of Items |
|
|
| 1 |
|
|
| 2 |
|
|
| 3 |
|
|
| 4 |
|
|
| Online Shopping Platform |
|
|
| Convenience Of Online Shopping |
|
|
| Availability Of Delivery |
|
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| Consumer Buying Behavior |
|
|
| .665 .745 |
|
|
| .621 .785 |
|
|
| 2 |
|
|
| 2 |
|
|
| 2 |
|
|
| 4 |
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| There Liability Value From The Above Table Indicating That The Reliability Of The Questionnaire Was High |
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| And It Is Suitable For The Study. |
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| REGRESSIONTEST |
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| Hypotheses Results |
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| The Study Seeks Investigate The Effect Servant Leadership, Self Efficiency, Job Satisfaction On Life |
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| Satisfaction Following Hypothesis Were Proposed. |
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| 1) H1: There Is No Impact Of Online Shopping Platform On Consumer Purchase Intention Towards |
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| Consumer Buying Behavior. |
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| 2) H2: There Is No Impact Of Convenience Of Online Shopping On Consumer Purchase Intention Towards |
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| Consumer Buying Behavior. |
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| 3) H3: There Is No Impact Of Availability Of Delivery Of Endorser On Consumer Purchase Intention |
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| Towards Consumer Buying Behavior. |
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| The Dependent Variable (Consumer Buying Behavior) Was Regressed On Predicting Variables Of Online |
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| Shopping Platform, Convenience Of Online Shopping, And Availability Of Delivery. The Independent |
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| Variables Significantly Buying Behavior, F (3, 297) = 130.161, P < .001, Which Indicates That The Three |
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| Factors Understudy Have A Significant Impact On Online Shopping Intention. Moreover, The R= .754 Depicts |
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| That The Model Explains 60.4% Of The Variance In Online Consumer Behavior. |
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| Additionally, Coefficients Were Further Assessed To Ascertain The Influence Of Each Of The Factor So The |
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| Criterion Variable (Consumer Buying Behavior). |
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| H1: Evaluates Whether Online Shopping Platform Significantly And Positively Affects Consumer Buying |
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| Behavior. The Results Revealed That Physical Attractiveness Has A Significant And Positive Impact On |
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| Purchase Intention (B=.236,T = 5.211, P =.001). Hence, H1 Was Supported. |
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| H2: Evaluates Whether Convenience Of Online Shopping Has A Significantly Positive Impact On Purchase |
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| Intention. The Results Show That Source Creditability Has A Significant And Positive Impact On Purchase |
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| Intention (B=.121,T = 2.573, P =.001). Hence, H2 Was Supported. |
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| H3: Evaluates Whether Celebrity Congruency Has A Significantly Positive Impact On Purchase Intention. The |
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| Results Show That Celebrity Congruency Has A Significant And Positive Impact On Purchase |
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| Intention(B=.451,T = 10.105, P =.001). Hence, H3 Was Supported. |
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| Hypothesis Regression |
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| B |
|
|
| T |
|
|
| P-Value |
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| Result |
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|
| .236 .121 |
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| .451 5.211 |
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| 2.573 |
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| 10.105 |
|
|
| .001 .001 |
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| .001 Supported |
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|
| Supported |
|
|
| Supported |
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|
| H1 |
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|
| H2 |
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| H3 |
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| Weights |
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| PA- PI |
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| SC- PI |
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| CC- PI |
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| R |
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| .754 F(3, 297) |
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| 130.16 |
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| Note:*P<0.05.OSP: Online Shopping Platform, COS: Convenience Of Online Shopping, ADO: Availability Of |
| |
| Delivery Option, CBB: Consumer Buying Behavior. |
| |
| H1: There Is Positively Significant Impact Of Online Shopping Platform On Consumer Buying Behavior |
| |
| H2: There Is Positively Significant Impact Of Convenience Of Online Shopping On Consumer Buying |
| |
| Behavior |
| |
| H3: There Is Positively Significant Impact Of Availability Of Delivery On Consumer Buying Behavior |
| |
| CORRELATION TEST |
| |
| H1: There Is Significant Relationship Between Online Shopping Platform And Consumer Buying Behavior |
| |
| .Reporting Pearson Correlation |
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| Pearson Product Correlation Of Online Shopping Platform And Consumer Buying Behavior Was Found To Be |
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| Low Positive And Statistically Significant(R=.608, P<.001).Hence, Hl Was Supported. This Shows That An |
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| Increase In Online Shopping Platform Would Lead To A Higher Consumer Buying Behavior. |
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| H2: There Is Significant Relationship Between Convenience Online Shopping And Consumer Buying |
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| Behavior And. Reporting Pearson Correlation |
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| Pearson Product Correlation Of Convenience Online Shopping And Consumer Buying Behavior Was Found |
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| To Be Moderately Positive And Statistically Significant (R=.454, P<.001). Hence, H2 Was Supported. This |
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| Shows That An Increase In Convenience Online Shopping Would Lead To A Higher Consumer Buying |
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| Behavior. |
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| H3: There Is Significant Relationship Between Availability Of Delivery Options And Consumer Buying |
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| Behavior. Reporting Pearson Correlation |
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| Pearson Product Correlation Of Availability Of Delivery Options And Consumer Buying Behavior Was Found |
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| To Be Moderately Positive And Statistically Significant (R=.562, P<.001). Hence, H3 Was Supported. This |
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| Shows That An Increase In Availability Of Delivery Options Would Lead To A Higher Consumer Buying |
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| Behavior. |
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| Table3 |
| |
| Correlations |
| |
| Consumer Buying |
| |
| Online |
| |
| Shopping |
| |
| Convenience |
| |
| Of |
| |
| Celebrity |
| |
| Behavior |
| |
| Platform |
| |
| Online Shopping |
| |
| Availability |
| |
| Of |
| |
| Delivery Option |
| |
| Consumer Buying Behavior 1 |
| |
| Online Shopping Platform |
| |
| .608** |
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| Convenience Of Online |
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| .454** |
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| Shopping |
|
|
| 1 |
|
|
| .615** |
|
|
| 1 |
|
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| Availability Of Delivery |
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| .562** |
|
|
| .597** |
|
|
| .694** |
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|
| 1 |
|
|
| Option |
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| Correlation Is Significant At The 0.01level (2-Tailed). |
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| RESULTS AND DISCUSSION |
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| 1. The Data Was Analyzed Using SPSS Software For Calculating Reliability And Identifying Under Lying |
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| Factors Of “Impact Of Online Shopping Consumer Buying Behavior”. Regression Was Used To Evaluate The |
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| Impact Of Independent Variables (Online Shopping Platform, Convenience Of Online Shopping, Availability |
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| Of Delivery) On Dependent Variable (Consumer Buying Behavior) |
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| 2. The Purpose Of This Study Was To Know The “Impact Of Online Shopping Consumer Buying Behavior”. |
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| Whether There Is Positive Or Negative Relationship Between The Variables. |
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| Implications |
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| 1. The Study Has Been Done On The Population Includes College Students Who Belong To Gwalior District |
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| Only And We Have Taken A Sample Size Of 300 Respondents. Therefore, It Is Suggested To Take Bigger |
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| Sample Size In Order To Obtain More Accurate Results. |
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| 2. The Study Measured The Impact Of Online Shopping Platform, Availability Of Delivery, And Convenience |
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| Of Online Shopping On Consumer Buying Behavior. It Can Be Evaluate Other Dependent Variables Also. The |
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| Study Can Also Be Incorporating The Mediating Effect Of Variables On Dependent Variable. |
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| Suggestions |
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| To The Student |
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| 1. Research Scholars Can Use The Results Of This Study For Supporting The Results Of Their Studies With |
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| Similar Variable And Relationship. |
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| 2. Students Can Use The Reference For Understanding The Topic In Detail And For Doing Further Studies In |
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| This Area. |
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| 3. The Students Can Use The Questionnaires Developed In This Study For The Researches In The Similar |
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| Area. |
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| 4. Students Can Learn The Concept Of, Online Shopping Platform, Availability Of Delivery, And |
|
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| Convenience Of Online Shopping On Consumer Buying Behavior Through This Research. |
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| 5. Students Can Work Upon These Variables To Improve The Consumer Buying Behavior In Online |
|
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| Shopping. |
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| To The Academics |
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| This Study Will Be Useful To Find The Impact Of Online Shopping Platform, Convenience Of Online |
|
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| Shopping, And Availability Of Delivery Option On Consumer Buying Behavior On The Internet. |
|
|
| 1. The Study Can Be Useful For Academicians So That They Can Concentrate On The Factor, Which Can |
|
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| Increase Customer Purchase Intention On The Advertised Brand. |
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|
| 2. This Study Will Be Beneficial For Further Research In Similar Area. |
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| Limitations |
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| 1. |
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| This Means That Consumers Cannot Run Their Hands Over The Available Products Before Buying |
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| Them. This Can Lead To Dissatisfaction In Case The Product Does Not Meet Their Expectations Once They |
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| Receive It. |
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| 2. |
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| Many Customers Are Reluctant To Engage In Purchases From On-Line Stores Since These Are At |
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| Times Associated With Risks Such As Loss Of Data, Frauds And Misuse Of Their Details. |
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| 3. |
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| Compared To The Traditional Systems Of Shopping, Online Shopping Requires The Internet. Some |
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| Customers May Not Easy Be Able To Order Products Online Especially If They Reside In Areas With Low |
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| Internet Connectivity. |
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| 4. |
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| Delays, Loss Or Damage To Commodities During Delivery Are Some Factors Which Can Affect The |
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| Satisfaction Of The Customer. |
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| 5. |
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| Some Consumers May Not Have Sufficient Technological Literacy. More So, Many Elderly |
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| Consumers Or People Who Have Less Understanding Of The Internet May Consider Online Shopping To Be |
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| Complex Or Even Risky. |
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| 6. |
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| There Is A Wide Range Of Products That Consumers Can Purchase Online Which Makes The |
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| Consumer To Be Overwhelmed As Well As Resulting To Dissatisfaction. |
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| 7. |
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| The Convenience That Comes With Online Shopping Means That Consumers Make Purchases |
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| Without Discussions And Probably Make Impulse Purchases Which Might Not Be The Best For Them. |
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| 8. |
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| This Is Because Consumers Can Be Discouraged To Shop Online Due To The Complicated Process |
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| That Is Involved In Returning Goods And Getting Refund. |
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| CONCLUSION |
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| Immense Information On A Given Product And Its Attributes, Online Shopping Which Has Spread Globally |
|
|
| Has Affected Buying Behavior Of Customers In A Big Way Resulting In Transformation Of Ways Through |
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| Which Customer’s Approach Online Purchasing. The Above Transformation Can Be Blamed On Aspects Such |
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|
| As Convenience, Accessibility And Amount Of Details That Consumers Have Most Of The Time At Their |
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| Finger Tips. |
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| First Of All, It Is Possible To State That Time Remains One Of The Most Important Parameters That Affect |
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| The Consumption Via The World Wide Web. It Can Be Done From The Comfort Of Their Houses, Let Alone |
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| The Period When They Do Not Have To Think About Going To Supermarkets And Other Outlets. This Has |
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| Brought About New Shift On The Customers’ Time Which They Regard As The Amount Of Time One Has |
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| To Spend When Shopping; The Time It Takes To Move Around The Shopping Malls, And Spend Long Hours |
|
|
| In Queues At The Checkout Points. This Convenience Is Further Enhanced By Cross-Shopping Convenience |
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| Whereby A Consumer Can Shop Irrespective Of The Device They Are Using At A Given Time Such As A |
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| Smartphone, Tablet Or A Computer On The Same Products. |
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| This Popular Information Available From Different Web Sources Has An Impact On Consumer Buying |
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| Behavior In A Dramatic Way. One Of The Main Is That Today Consumer Can Get The Word Of Mouth For |
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| The Use Of It And The Price Which Is Offered Through The World Wide Web Which Is Otherwise Not |
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| Possible Through Selling Products Through Traditional Means. Examining Customer Behaviors’, It Would Be |
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| Possible To Identify That Such An Aspect Of Transparency Means That The Process Of Buying Activity Is |
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| Way More Conscious And Purposeful, As Consumers Can Gather All The Necessary Information Prior To |
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| Making The Final Decision. This Is Because Consumers & Info About The Quality Of A Certain Product |
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| Through Other Consumers Is Also A Culture Related Factor In Decision Making. |
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| But, Messages And The Personalization Of Advertise As Well As The Automation Of Targeting Are The |
|
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| Prevailing Approaches That Dictate Web Consumers’ Behaviors. The Use Of Data Analytics In Marketing |
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| Also Becomes More Effective As Revealed By E-Commerce That Helps To Establish The Customers’ |
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| Preferences As Well As Come Up With Good Marketing Plans, Strategies And Adverts. This Implies That The |
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| Need For Suggested Products May Change The Consumer’s Purchasing Behavior Due To Utilization Of Data |
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| Such As Activity Navigation Or Past Purchase History. The Following Is An Explanation Of Why This Level |
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| Of Personalization Improves The Attitude Of The Consumers, And Consequently, The General Experience Of |
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| Shopping. |
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| It Also Noted That Social Media Bears The Heavy Burden On Changing Consumer Buying Behaviors’. One |
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| Can See It In Platforms That Are Related To Transformation Into Social Commerce, Such As Instagram, |
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| Facebook, Pinterest – These Are Platforms Of Discovery And Brand Engagement. Another Popular Marketing |
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| Strategy Is The Use Of Influencer Marketing Techniques Where Famous Social Media Personalities Advertise |
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| Selected Products. Some Of The Fans Make A Decision Knowingly Through A Product Depended On What |
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| Their Favorite Influencers Say And Do. |
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| But What About Door Step Delivery, There Are Numerous Benefits That Consumers Enjoy While Using The |
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| Internet To Shop, There Are Always Challenges Too. Two Of The Primary Concerns Which Threaten The |
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| Trust And Confidence Of Consumers Are: Lack Of Confidence In The Security Of Their Information That |
|
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| Includes Their Identity And Credit Card Details That They Input; The Lack Of An Opportunity To Feel Or To |
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| Touch The Product Before Making A Purchase. Other Factors Include: Chance Of Having Fake Websites Out |
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|
| There. However, Such Factors As Foul Payment Process, Security And Among Others Are Made Better By |
|
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| Such Things As Secure Payment Systems And Better Customer Service Among Others. |
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| As A Result, Consumer Buying Behaviors In The New And Expanding Virtual World Of Shopping Depend |
|
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| On Convenience, The Degree Of Access To Information, The Marketing Strategies That Are Tailored |
|
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| Individually For Every Client, And Information Received From The Social Networks. Further, It Is Also |
|
|
| Anticipated That With The Evolution Of Technology, There Are Will Be Even More Of Such Behavior |
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| © 2024 JETIR June 2024, Volume 11, Issue 6 www.jetir.org (ISSN-2349-5162) |
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| Exhibited By Customers, Who Would Pave Way For More Convenient, Personalized, Private And Safe |
|
|
| Buying Experiences Online. Because Competition In E-Commerce Has Continued To Intensify, Moving The |
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| External Environment Factor Understanding And Management Up To A New Level, It Is Possible To Note |
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| The Following Conclusion: It Is Important To Comprehend These Processes In Order For Enterprises To |
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| Attain Success In The Current Context. |
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| Bibliography |
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