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Resource-Based Analysis of E-Commerce Business Value

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Resource-Based Analysis of E-Commerce Business Value International Journal of Engineering and Applied Sciences (IJEAS) ISSN: 2394-3661, Volume-2, Issue-4, April 2015 Resource-Based Analysis of E-Commerce Business Value Dr.Shine David, Aditi Bansal, Kirti Singh, Swati Rajput The survey aims to study some of following impacts on Abstract— In this study, we developed a set of constructs to customer’s view of e-commerce such as: measure e-commerce capability in Internet savvy customers. Is online search about specific product available easily Our study has two dimensions customer awareness and Is there sufficient online information available to you about customer experience, which consist of factors such as product quality usability and viability information, transactions customization and supplier Does the website posts sufficient information on product connection. This conceptual framework provides good theoretical platform for empirically grounded research on how updates maintenance and repairs customers perceive e-commerce trading. E-commerce is the Does the e-commerce websites offers any space for pre-eminent buzzword of the online business revolution. personalized a/c or private messages Electronic commerce is the paper less exchange of business Is the inventory information updated on regular basis or information using electronic data interchange (EDI).This study shared online through electronic links aims to understand how people view e-commerce as an emerging Which payment option customers mostly prefer for an trend in lieu of their satisfaction and preferences with products, online purchase from an e-commerce website services, safety of personal data etc. This report will provide with necessary insights into what Index Terms— Electronic Commerce E-commerce metrics, steps should e-commerce retailers should take to satisfy their Customer Orientation customers, thereby increasing customer loyalty as well as the life time value of customers. I. INTRODUCTION II. LITERATURE REVIEW Electronic commerce presents a lot of opportunities and benefits to customers. Today in this fast and competitive The understanding of human beings in taking decisions have environment people prefer easy and convenient things- always been difficult to predict since there is no right tool to commerce has come up like a blessing in disguise for the measure it. People can change their opinion as people can majority of convenient shoppers. The research aims to study change it or just make it for future decisions. In accordance how people perceive ecommerce, which will help in analysing with the information quality provided by e-commerce the customers’ viewpoint. Electronic commerce draws on websites whether the information is clear or not it can greatly technologies such as mobile commerce, electronic funds affect the intention of the customer decision when purchasing transfer, supply chain management, Internet marketing, once or twice or they won’t just purchase, then right online transactions processing, electronic data information quality will increase customer trust and interchange, inventory management systems, and satisfaction since trusting the product/service information automated data collection systems. Modern electronic quality will make people finally decide to make the initial commerce typically uses the Wold Wide Web for at least one purchase and with this, their satisfaction affecting loyalty part of transactions life cycle, although it may also use other positively. Today’s young generation has grown up with the technologies such as e-mail. internet differently than their parents and grandparents who E-commerce business may employ some or all of the have to deal with something they haven’t grown up with new following: technological advances, so it quotes probable that internet Online shopping websites for retail sales direct to turn difficult to use and affect easily B2C-ecommerce consumers. business negatively if they are not aware of this. User Providing or participating in online market places, which interface quality should be attractive and easy to use processes third party business to consumers or especially for the people who have not grown up with new consumer-to-consumer sales technological advances. Nowadays purchasing online does not necessarily need a computer because you can purchase online using your phone Business-to-business buying and selling and you don’t need to look on different websites since you can Gathering and using demographic data through web purchase from your favourite social networks like Facebook contacts and social media and twitter. Business-to-business electronic data interchange Marketing to prospective and established customers by e-mail or fax III. METHODOLOGY Engaging in pretail for launching new products and 1)The survey was filled by filled by 92 respondents taken services through both online and offline survey method (personal questionnaire method).Online Survey was online site Survey Monkey website for a period spanning 15 days. 60 www.ijeas.org Resource-Based Analysis of E-Commerce Business Value 2)The questionnaire was prepared keeping in mind the TABLE 4 customer orientation, their preferences and satisfaction level. FACTOR RECOGNITION FACTOR 3)The questions were framed on the basis of e-commerce LOADING determinants and with respect to the topic. Updated V 12. Inventory data .894 4)The questionnaire was designed into two parts namely inventory sharing. Customer Satisfaction and Customer Awareness. information V 14. Return policy. .629 5)Measurement base of the research is the gender factor along with among the demographics of name, age, educational hassle free qualification and occupation. Calculations were for the refund and analysis through SPSS Software. return policy. 6)Analysis test were the Factor Analysis & One Way Anova Test. TABLE 5 FACTOR RECOGNITION FACTOR IV. LIMITATIONS LOADING Preferred V 19. Payment .751 The researches conducted were confined to a particular age mode of mode. group namely 20-30 years. Respondents were mainly student payment along V 09. Online .550 and young working professional. with different recommendation. There were some respondents who skipped the personal technical demographics, for that reason their data created the problem support of ambiguity and their data had to be omitted from the services. analysis. At the time of analysis the value of regression was coming TABLE 6 to negative, due to which linear regression test cannot be FACTOR RECOGNITION FACTOR applied. LOADING Online V 11. Online .887 communities procurement. dedicated to V 10. Content .621 V. FACTOR ANALYSIS customers and personilisation. TABLE 1 validity of FACTOR RECOGNITION FACTOR website. LOADING Information V 01. Search .815 TABLE 7 available capability. FACTOR RECOGNITION FACTOR about a V 02. Product .658 LOADING specific review. Procedure for V. 05 Registration. .801 product ant V 15. Frequency of .530 being a the frequency transaction. registered of transaction. user, easy and user friendly. TABLE 2 FACTOR RECOGNITION FACTOR TABLE 8 LOADING FACTOR RECOGNITION FACTOR Product V 13. Product .798 LOADING catalog and information online. Reasons and V. 17 Time invested. .752 its post V 07. Customer .659 time invested V. 16 Reasons. .658 information registration. for online together with V 03. Product .537 purchase. space for update. personalized accounting. ONE WAY ANOVA TEST TABLE 3 The one way ANOVA test for the survey in applied on FACTOR RECOGNITION FACTOR gender. LOADING P value < tab value NHR Tracking of V 04. Online order .746 P value > tab value NHA product tracking. starting from V 06. Security. .589 P value = significance value its inception to Tabulated value = .05 its delivery VARIABLE 1. with security P value = .657 of data. P value > tab value 61 www.ijeas.org International Journal of Engineering and Applied Sciences (IJEAS) ISSN: 2394-3661, Volume-2, Issue-4, April 2015 Thus, NHA VARIABLE 12. Hence, the searching about a specific product asked in the P value = .913 survey do make a difference in the result. P value > tab value VARIABLE 2. Thus, NHA P value = .419 Hence, close to 1, hence this question is very important to P value > tab vale know the inventory information updation satisfaction level Thus, NHA VARIABLE 13. Hence, asking for the information being provided about the P value = .081 product quality, usability and viabilility makes the difference P value > tab value in the analysis. Thus, NHA VARIABLE 3. Hence, not so important but has a bit worth to know the P value = .36 product catalog available fulfils the lvel of expectation. P value > tab vale VARIABLE 14. Thus, NHA P value = .394 Hence, knowing for the websites, post namely product P value > tab value updates, maintenance and repairs is worth for the research. Thus, NHA VARIABLE 4. Hence, asking to the people for return policy help in the P value = .484 analysis of result. P value > tab value VARIABLE 15. Thus, NHA P value = .915 Hence, knowing for tracking for the product movement P value > tab value starting from placing of an order till it reaches the people for Thus, NHA the research purpose is found to be usable. Hence, asking people how often they shop online is the very VARIABLE 5. important question. P value = .879. VARIABLE 16. P value > tab value P value = .416 Thus, NHA P value > tab value Hence, knowing from the people about the procedure being Thus, NHA followed to become a registered user is user-friendly makes Hence, this is an average question to know the reason why the difference in result of our analysis. people shop online. VARIABLE 6. VARIABLE 17. P value = .752. P value = .254 P value > tab value P value > tab value Thus, NHA Thus, NHA Hence, asking from the people for there security of data and Hence, not so important to know how much time people spend transaction is worth. for online shoping but hypothesis is nor rejected. VARIABLE 7. VARIABLE 19. P value = .158 P value = .057 P value > tab value P value > tab value Thus, NHA Thus, NHA Hence, knowing that people get space for personalized Hence, close to rejection of the hypothesis but as not rejected accounts of private messages, results found to be worth in the which makes this question not so important but it is fine that it research analysis process.
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