Selection of E-Marketplaces Factors Affecting Indonesian Women's Business Loyalty Using Simple Multi-Attribute Rating Technique (SMART) Method

Selection of E-Marketplaces Factors Affecting Indonesian Women's Business Loyalty Using Simple Multi-Attribute Rating Technique (SMART) Method

• By Eva Zuraidah;
• Jurnal Internasional
• 509

Indonesian online sales are currently

experiencing rapid growth and can provide solutions to the

problems of marketing products for Micro, Small and Medium

Enterprises (MSMEs) managed by women entrepreneurs.

There are several obstacles in marketing the product including

lack of e-marketplace information, HR skills, product design

that is less attractive and the quality of the goods produced so

that it can cause bankruptcy. The sample in this study was taken

from MSMEs. managed by women entrepreneurs randomly in

Indonesia. This study uses primary data obtained through

questionnaire instruments. Data is processed using the Simple

Multi-Attribute Rating Technique (Smart) Method. The results

of this study found that market services, infrastructure,

transaction security, costs, promotions, and value-added

services had a positive impact on seller loyalty. Market service

is a factor that has the greatest influence on the loyalty of women

entrepreneurs in online sellers.

• Katakunci MSMEs, SellerLoyalty, E-Marketplace Indonesia, SMART, Women
• URL http://citsm.id
• Penerbit ,

REFERENSI

[1] C. H. Park, Y. G. Kim, C. Park, and Y. Kim,

“Identifying key factors affecting consumer purchase

behavior in an online shopping context,” 2015, doi:

10.1108/09590550310457818.

[2] C. H. Park and Y. G. Kim, “Identifying key factors

affecting consumer purchase behavior in an online

shopping context,” Int. J. Retail Distrib. Manag.,

vol. 31, no. 1, pp. 16–29, 2003, doi:

10.1108/09590550310457818.

[3] G. J. A. Santoso and T. A. Napitupulu, “Factors

affecting seller loyalty in business emarketplace: A

case of Indonesia,” J. Theor. Appl. Inf. Technol.,

vol. 96, no. 1, pp. 162–171, 2018.

[4] R. E. Anderson and S. Swaminathan, “Customer

satisfaction and loyalty in e-markets: A PLS path

modeling approach,” J. Mark. Theory Pract., vol.

19, no. 2, pp. 221–234, 2011, doi:

10.2753/MTP1069-6679190207.

[5] M. A. Shareef, B. Mukerji, Y. K. Dwivedi, N. P.

Rana, and R. Islam, “Social media marketing:

Comparative effect of advertisement sources,” J.

Retail. Consum. Serv., vol. 46, no. September 2017,

pp. 58–69, 2019, doi:

10.1016/j.jretconser.2017.11.001.

[6] I. Hindarsah, B. H. Purwanto, S. Priadana, and A.

Fahrudin, “The owner factor: An innovation

element of business model canvas by SMEs rattan

industry in Cirebon Indonesia,” Int. J. Adv. Sci.

Technol., vol. 29, no. 6, pp. 3963–3972, 2020,

[Online]. Available:

https://www.scopus.com/inward/record.uri?eid=2-

s2.0-

85085100292&partnerID=40&md5=e6c65e36fa856

4236089c83ccd83cbd4.

[7] M. S. Janita and F. J. Miranda, “The antecedents of

client loyalty in business-to-business (B2B)

electronic marketplaces,” Ind. Mark. Manag., vol.

42, no. 5, pp. 814–823, 2013, doi:

10.1016/j.indmarman.2013.01.006.

[8] K. R. Alok and M. Srivastava, “The Antecedents of

Customer Loyalty: An Empirical Investigation in

Life Insurance Context,” J. Compet., vol. 5, no. 2,

pp. 139–163, 2013, doi: 10.7441/joc.2013.02.10.

[9] W. Thitimajshima, V. Esichaikul, and D. Krairit, “A

framework to identify factors affecting the

performance of third-party B2B e-marketplaces: A

seller’s perspective,” Electron. Mark., vol. 28, no. 2,

pp. 129–147, 2018, doi: 10.1007/s12525-017-0256-

3.

[10] A. White, E. Daniel, J. Ward, and H. Wilson, “The

adoption of consortium B2B e-marketplaces: An

exploratory study,” J. Strateg. Inf. Syst., vol. 16, no.

1, pp. 71–103, 2007, doi:

10.1016/j.jsis.2007.01.004.

[11] W. Thitimajshima, V. Esichaikul, and D. Krairit, “A

framework to identify factors affecting the

performance of third-party B2B e-marketplaces: A

seller’s perspective,” Electron. Mark., vol. 28, no. 2,

pp. 129–147, 2018, doi: 10.1007/s12525-017-0256-

3.

[12] S. H. Chien, Y. H. Chen, and C. Y. Hsu, “Exploring

the impact of trust and relational embeddedness in

e-marketplaces: An empirical study in Taiwan,” Ind.

Mark. Manag., vol. 41, no. 3, pp. 460–468, 2012,

doi: 10.1016/j.indmarman.2011.05.001.

[13] L. Marlinda, S. Rusiyati, W. T. Adi, Maisyaroh, R.

Komarudin, and A. Salim, “Selection of factors

affecting women’s loyalty in buying goods in

indonesian e-marketplaces using the profile machine

method,” J. Theor. Appl. Inf. Technol., vol. 97, no.

8, pp. 2166–2178, 2018.

[14] T. A. Napitupulu and H. C. Aditomo, “Factors

Affecting Customer Loyalty in Business ECommerce:

a Case of Indonesia,” J. Theor. Appl.

Inf. Technol., vol. 3076, no. 3, pp. 386–392, 2015.

[15] A. Farki and I. Baihaqi, “Pengaruh Online Customer

Review dan Rating Terhadap Kepercayaan dan

Minat Pembelian pada Online Marketplace di

Indonesia,” J. Tek. ITS, vol. 5, no. 2, 2019, doi:

10.12962/j23373539.v5i2.19671.

[16] M. C. De Marneffe, B. MacCartney, and C. D.

Manning, “Generating typed dependency parses

from phrase structure parses,” Proc. 5th Int. Conf.

Lang. Resour. Eval. Lr. 2006, pp. 449–454, 2006.

[17] A. L. Paulus and P. S. Murdapa, “Pemanfaatan

Teori Resource-Based View Pada Ritel

Minimarket : Implikasinya Terhadap Strategi Dan

Keunggulan Bersaing,” J. Ris. Ekon. dan Manaj.,

vol. 16, no. 2, p. 215, 2016, doi:

10.17970/jrem.16.160204.ID.

[18] Z. Wu and G. Abdul-Nour, “Comparison of Multi-

Criteria Group Decision-Making Methods for Urban

Sewer Network Plan Selection,” CivilEng, vol. 1,

no. 1, pp. 26–48, 2020, doi:

10.3390/civileng1010003.