Pacific B usiness R eview (International)

A Refereed Monthly International Journal of Management Indexed With Web of Science(ESCI)
ISSN: 0974-438X
Impact factor (SJIF):8.603
RNI No.:RAJENG/2016/70346
Postal Reg. No.: RJ/UD/29-136/2017-2019
Editorial Board

Prof. B. P. Sharma
(Editor in Chief)

Dr. Khushbu Agarwal
(Editor)

Dr. Asha Galundia
(Circulation Manager)

Editorial Team

A Refereed Monthly International Journal of Management

Measuring Variables of Trust of Consumer's in E-Commerce

 

 

Shweta Saroopria,

Research Scholar,

Pacific University, Udaipur

 

Dr Shanker Chaudhary

Professor & Director Placements

PAHER University, Udaipur

 

 

 

Abstract

 

E-commerce allows customers to overcome geographical barriers and allows them to purchase products anytime and from anywhere. Online and traditional markets have different strategies for conducting business. Traditional retailers offer fewer assortments of products because of shelf space where, online retailers often hold no inventory but send customer orders directly to the manufacture. The pricing strategies are also different for traditional and online retailers. Traditional retailers base their prices on store traffic and the cost to keep inventory. Online retailers base prices on the speed of delivery. This study measures the variables of the trust in e-commerce in South Rajasthan. For this purpose, the reviews of over 50 research papers are gathered using google scholar and the papers having the variables of trust in e-commerce is evaluated using one sample t test and the findings showed that the words used to measure trust varied significantly.

 

Keywords: Protection, transparency, Involvement, quality, and customer’s relation framework.

 

 

 

Introduction

Rajasthan is the largest state of India in terms of area and 8th in terms of population. The population of state, as per Census 2011, was about 7 crores. About 25% of Rajasthan population reside 184 Urban Local Bodies in the state, including the 6 large municipal corporations. The 23% of urban population in Rajasthan are slum-dwellers. Jaipur city, the state capital, has a population of 31 lakh and accounts for 17% of total urban population of Rajasthan. As per the largest state of country it has various income group people is living and using the services of the e-commerce. The competitiveness is keep increasing day by day as the new players are also coming from the foreign players and without trust no company can move ahead and thus there is a need to measure the e-commerce trust for making e-commerce company’s future the variables are identified in this research by taking a sample from south Rajasthan.

As the trend of ecommerce is increasing it is also important to cope up with the growth with the major element of “TRUST”. Throughout the years, researchers have looked at trust in a variety of settings, including negotiations (Schurr&Ozanne, 1985), business-to-business sales (Doney& Cannon 1997), supply chains (Dwyer, Schurr, & Oh, 1987), strategic alliances (Das, 1998), and market research (Moorman et al, 1993). These works utilize a variety of theoretical lenses, which may be roughly grouped into three broad classes: (Lewicki& Bunker, 1995). Personality theorists' point of view, which sees trust as a belief, expectation,

 

or emotion that has its beginnings in the individual's formative years of psychological growth and development. Sociologists' and economists' perspectives, which consider trust as both a phenomena occurring inside and between institutions and as people' confidence in such organizations. According to social psychologists, trust may be defined as an attitude and propensity on the side of one party to enter into a transaction with another, as well as the risks involved in acting on those expectations and the external circumstances that can either foster or stifle the growth of such trust. The social-psychological viewpoint seems to be most pertinent in understanding consumer trust in online purchasing because of its emphasis on transactions, but other views also contribute to our knowledge of trust in this setting in their own unique ways. For this research, we will make use of the safeguards, openness, participation, quality, and customer relations framework for online transactions. When thinking about customers' trust in online buying, for instance, it's important to evaluate whether or not they have a trust propensity (a personality feature) that makes them more or less likely to purchase online. Researching consumer trust, its antecedents, and its effects in the context of online buying may benefit from the extensive literature on trust across many other fields. Although Mayer and Davis have pointed up issues in the literature, the vast majority of works still have them (1995). There is still a lot of misunderstanding about what exactly trust is and where it comes from. For instance, the sources of trust were included in Kini&Choobineh's (1999) definition of trust. Most books also lack any kind of hard proof to back up their claims. Studies that use theory to guide their empirical data are uncommon in the area of consumers' confidence in online retailers.Thus, this study measures the consumer's perception for trust on e-commerce by taking the sample of consumers of south Rajasthan.

 

 

Review of Literature

Masele, Matama (2020) revealed that The importance of trust in business has been emphasized many times. With fewer people doing business in person, it's important to look at the factors that contribute to customers feeling safe making purchases online. This article aimed to offer empirical evidence on the connection between the trust factors and automobile sales made online. Using multiple regression analysis, we provide findings from a study of

335 adult individual auto purchasers in Tanzania about the impact of site design and personality trust factors on business-to-consumer (B2C) e-commerce car sales. This investigation of online monetary transactions centered on the purchase of high-priced items like automobiles and the usage of wire transfers for payment. The results of this research add to the current body of information and broaden the theories of trust and e-commerce that direct the activities of customers and trading corporations in the highly regulated auto industry. While the study's focus is on the trust-B2C perspectives of potential buyers within the sub-Saharan Africa, it also aims to augment the theoretical and policy implications, particularly in light of the formal institutional voids that may significantly impact adult international business dealings from the sub-Saharan Africa.

Sun, T. (2011) revealed that Eurobarometer analysis of survey data aimed to determine the impact of consumers' prior online shopping experiences and their cultural inclination for trusting businesses online. Consumers in high-trust societies, like those in West Germany, are more likely to make purchases online than those in low-trust societies, like France. Those unfamiliar with online shopping are the only ones who exhibit this cultural gap; savvy shoppers don't notice it. A combination of culture and life experience does not produce any results. Within each culture, consumers' assurance in engaging in e-commerce decreases with time,  however  West  German  customers  of  similar  age  are  more  likely to  say they  are

 

comfortable making purchases online than their French counterparts. We included both theoretical and applied consequences.

Palvia (2009)revealed that Recent studies of business-to-consumer (B2C) e-commerce have used intention theory to understand the role of trust in online transactions; however, most of these studies have focused on just one aspect of e-commerce (e.g., initial adoption or continuation) and ignored the importance of good customer relations in ensuring a successful, long-term relationship. Consequently, we came up with a model that incorporated not just intention but also fundamental relational concepts like satisfaction, value, loyalty, etc. This model relies heavily on trust and its constituents, and it does so on solid theoretical groundwork. There were 15 different hypotheses created. Using elliptical re-weighted least squares as the estimation method, we tested the model's validity and our hypotheses using data on the constructs from a total of 420 respondents. A further correlation between happiness and repeat business was studied. Possible next steps for academics and professionals are discussed.

Gan, Z., Zeng, C., Li, K., & Han, J. (2012) presents a formal description model based on the trust network. Considering to the reputation propagation discipline, this paper proposes optimization algorithms for the trust network which can effectively simplify the complex network relationship. Finally, a visual generation tool for the trust network is given. The practical application example shows that the formal description model and the optimization algorithms can intuitively show the complex trust relationships in e-commerce systems, reduce the complexity of trust computing algorithm, and build the theoretical principle for studying on trust propagation mechanism and trust evaluation model.

Hallikainen&Laukkanen, (2018) revealed that n this analysis, we use Hofstede's theory of cultural dimensions to the question of why customers' faith in online transactions may vary so widely. We conceptualize consumer trust as the interplay between a store's general credibility and the individual customer's propensity to believe in its legitimacy in a given situation. National cultural factors are hypothesized to have direct impacts on trusting dispositions, while trusting dispositions are hypothesized to have direct effects on trustworthiness dimensions. We also investigate if and how a person's natural trust levels influence their perception of an online store's reliability. We use data from 616 buyers of books from online bookstores in China and Finland, two nations at cultural poles apart from one another. Our research shows that consumers' natural trusting tendencies are a strong predictor of whether they would see an online business as trustworthy or not. This natural trusting tendency accounts for 23% of the variation in consumers' overall trusting tendencies. We also find that the propensity to trust, as a mediator between national culture and trustworthiness, varies substantially across the many cultural dimensions we consider.

Kim & Peterson (2017)revealed that Trust in online transactions between businesses and customers was the subject of a meta-analysis. Using data from 150 empirical studies on online trust, researchers analyzed 16 pairwise associations and found that online trust has strong connections to a number of different antecedents (such as perceptions of privacy and service quality) and outcomes (e.g., loyalty, repeat purchase intention). Yet, further studies showed that aspects of the methodology, such research design, website type, and the sort of questions used to test the trust construct, affected some online trust connections. It became clear through these further studies that the connections between online trust's causes and effects are more nuanced, intricate, and specific than was first assumed. Consequences for theory, practice, and future study are presented in light of the findings.

 

Sullivan& Kim (2018) revealed that by bringing together the customers' product evaluations model and the technology adoption model in e-commerce settings, this research contributes to the body of knowledge on online trust. In this research, we examine the relationship between consumers' perceptions of value and their confidence in, and loyalty to, an online retailer. The purpose of this study is to provide a research model that evaluates the relative impact of perceived value, online trust, and perceived utility in influencing customers' propensity to make repeat purchases. Consumers' online shopping behavior is used to evaluate the suggested model. The results reveal that product assessment elements are significant in predicting repurchase intention, and this is true even when trust and e- commerce adoption components are equally critical. Online trust is affected by perceived value, website reputation, and perceived risk, all of which are in turn impacted by online confidence in the company and the likelihood of a customer making a repeat purchase after the first one. Perceived value and online trust, rather than perceived utility, are the key predictors of repurchase intention, as shown by the data. Implications and contributions to theory from the field as a whole are examined.

Kassim& Abdullah (2010) paper's purpose is to empirically examine the link between construct characteristics of service quality, satisfaction, trust, and loyalty in e-commerce contexts in two cultures (Malaysia and Qatar).

Kim(2014) revealed that In e-commerce, trust exists on several levels (intrapersonal, systemic, and interpersonal), and its development is an iterative, ever-evolving process that may be fine-tuned as more evidence of new encounters becomes available. From the buyer's viewpoint in business-to-consumer e-commerce, there are at least two trustworthy parties involved: the Internet as a shopping channel (the e-channel—system level) and a selling party or vendor operating on the Internet (the e-vendor—interpersonal level). As well as expanding our conceptual foundations of trust, learning about the multi-level and dynamic nature of trust in e-commerce will help improve the online experiences of both online managers and customers. Despite its importance, little empirical study has been conducted on the multilayered and dynamic nature of trust in e-commerce. The purpose of this research is to address this gap in the literature by introducing a multilevel model of e-channel and e-vendor trust, incorporating trust propensity (intrapersonal level) from a pre- and post-purchase vantage point. In addition, this research presents a novel concept: the customer's level of satisfaction with the online store's fulfillment of their order. Research limitations and potential future research directions are also examined, along with the implications of the results for theory and practice.

Akroushet.al., (2021) explored the influence of e-satisfaction and e-trust on e-loyalty, and looked into the connection between e-service quality and e-satisfaction and e-trust in Jordan's B2B e-recruitment market. One hundred and ninety-nine completed surveys were sent out to the four hundred active business clients of an e-recruitment agency in Jordan. The reliability of the study constructs was examined with the use of a confirmatory factor analysis. This study used structural path analysis to verify the suggested research model's anticipated connections. The results indicate that the level of satisfaction with and confidence in an organization's online services is significantly correlated with the quality of such services. As a result, e-service quality had a more significant impact on e-satisfaction than on e-trust. There is a statistically significant positive correlation between e-satisfaction and both e-trust and e-loyalty. Eventually, the route of e-trust and e-satisfaction accounted for 74% of the variance in e-loyalty. Business-to-business managers should build e-trust in their websites via targeted marketing activities in order to increase consumer loyalty.

 

Research Methodology

The Primary data is collected on the variables of trust and its sub-reasons. For this purpose the 7 su-reasons or independent variables were gathered i.e., I believe that E-commerce websites are trustworthy, It's not a problem to pay in advance for products bought over the internet; I trust that the Website vendor will deliver on its promises; I'm willing to share personal details and credit information with most online businesses; I have no problem making upfront payments for products bought online; and Online businesses are staffed by trained professionals who always deliver on their promises. The data is gathered from the 500 respondents in the state of the Rajasthan using the structured questionnaire and google forms. The data gathered is analysed using the statistical techniques Multiple regression test with SPSS Software.

 

 

Data analysis

The data gathered regarding the variables selected is presented in the following table:

 

 

H1=  There  are  significant  factors  behind  the  respondents  believe  about  the  trust  in  E- Commerce.

 

To check out the above hypothesis the independent sample t test with SPSS is analysed and the results are as under:

 

Table-1: Measuring the Trust in E-Commerce

Descriptive Statistics

Variable

SPSS code

Mean

S D

N

Do you believe that E-commerce websites are trustworthy

Trust_sucess

4.1060

.81737

500

I believe that E-commerce websites are trustworthy

Trust_Ecom_1

3.8060

.92633

500

It seems to me that the Website provider follows through on its obligations and promises.

 

Trust_Ecom_2

3.5620

1.11384

500

I have no qualms about disclosing personal information to websites.

Trust_Ecom_3

3.1480

1.07909

500

Most internet businesses have my permission to collect payment information from me.

 

Trust_Ecom_4

3.4340

1.13852

500

Prepaying for goods bought online is not an issue.

Trust_Ecom_5

3.4940

1.14568

500

Businesses that operate only online are highly trained experts in their fields.

Trust_Ecom_6

3.4060

1.14533

500

 

 

In every case, companies who advertise on

the Internet have delivered on their promises.

 

Trust_Ecom_7

3.4900

1.06026

500

 

 

Summary

Model

R

R2

Adj, R2

SE

Changein

R2

F

df1

df2

Sig. F

6

.516f

.266

.257

.70441

.009

6.325

1

493

.012

f. Predictors: (Constant), Trust_Ecom_2, Trust_Ecom_1, Trust_Ecom_4, Trust_Ecom_6, Trust_Ecom_7, Trust_Ecom_3

 

 

ANOVAa

Mod

SS

df

MS

F

Sig.

 

6

Between

88.759

6

14.793

29.813

.000g

Within

244.623

493

.496

 

 

Total

333.382

499

 

 

 

a. DV: Trust_sucess

g. Predictors: (Constant), Trust_Ecom_2, Trust_Ecom_1, Trust_Ecom_4, Trust_Ecom_6, Trust_Ecom_7, Trust_Ecom_3

Coefficientsa

Model

Unsta.Coeff.

Stand.Coeff.

t

Sig.

B

SE

Beta

 

 

 

6

(Con.)

3.755

.154

 

24.390

.000

Trust_Ecom_2

.316

.053

.430

5.937

.000

Trust_Ecom_1

-.215

.041

-.244

-5.189

.000

Trust_Ecom_4

-.141

.038

-.197

-3.732

.000

Trust_Ecom_6

.194

.051

.271

3.804

.000

Trust_Ecom_7

-.118

.041

-.153

-2.906

.004

Trust_Ecom_3

.090

.036

.118

2.515

.012

 

The results of the test revealed that:

Dependent Variable: Trust_sucess

Predictors:     (Constant):    Trust_Ecom_2,     Trust_Ecom_1,     Trust_Ecom_4,     Trust_Ecom_6, Trust_Ecom_7, Trust_Ecom_3

Value of R=51.6% R2= 26.6%

Adjusted R2=25.7% ANOVA F Ratio= 29.813

Significant value (p value) = .000g

 

 

 

 

Conclusion

 

Confidence and a readiness to rely on another person or object are at the heart of the concept of trust (Chung & Kwon, 2009). Fam et al. (2004) stated that trust and customer happiness are both dynamic processes that are created over time and contribute to satisfaction beyond the impacts of the economic result. Our paper measures the trust amongst the respondents in Rajasthan State. The results revealed that the null hypothesis is rejected and 6 variables i.e., respondent’s believe that E-commerce websites are trustworthy(Trust_Ecom_1), they felt that Website vendors appear to uphold their commitments and promises (Trust Ecom 2), they are willing to divulge personal information to online businesses (Trust Ecom 3), most online businesses will accept my credit card number (Trust Ecom 4), online businesses are professionals (Trust Ecom 6), and online businesses consistently fulfill their promises (Trust_Ecom_7) were found as the major reason that predict the trust in the e-commerce in Rajasthan.

 

 

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