E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry

NGUYEN, Xuan Truong (Marketing faculty, University of Finance - Marketing)
NGUYEN, Thai Ha (University of Finance - Marketing)
DANG, Huynh Phuong (Art in Strategic marketing, Marketing faculty, University of Finance - Marketing)
PHAM, Thi Lan Phuong (Business in Integrated marketing communication, Marketing faculty, University of Finance - Marketing)
BUI, Thi Thanh (Marketing faculty, University of Finance - Marketing)
TRAN, Nhat Minh (Marketing faculty, University of Finance - Marketing)
HUYNH, Tri An (Marketing faculty, University of Finance - Marketing)
NGUYEN, Nam Phong (Marketing faculty, University of Finance - Marketing)

NGUYEN, Xuan Truong, NGUYEN, Thai Ha, DANG, Huynh Phuong, PHAM, Thi Lan Phuong, BUI, Thi Thanh, TRAN, Nhat Minh, HUYNH, Tri An, & NGUYEN, Nam Phong. (2022). E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry. The Journal of Distribution Science(JDS), 20(2), 65-77, https://doi.org/https://doi.org/10.15722/jds.20.02.202202.65

복사

Abstract

Purpose: This study aims to identify factors affecting the adoption of e-commerce by household businesses in Vietnam's food and beverage industry. Research design, data and methodology: The integrated TAM and TOE frameworks and ten hypotheses were developed to test the relationship between relevant factors. A cross-sectional survey was conducted to collect valid data from 992 respondents who run F&B household businesses in Vietnam. Results: The empirical research results confirm all proposed hypotheses that e-commerce adoption is affected by the perceived usefulness, the perceived ease of use, vendor support partners, social expectancy, competitive pressure, subjective norm, and household resources. Meanwhile, technical readiness, environment readiness, and organization readiness are intermediate variables that influence the implementation of e-commerce in food and beverage distribution. Conclusions: The findings suggest effective orientations to foster the food and beverage e-trading practice for household businesses in developing countries. Accordingly, to encourage private household businesses to adopt e-commerce, it is necessary to focus on improving business resources, technology readiness, environment readiness, and organization readiness through raising awareness of usefulness, benefits, perceived ease of use, and increased support of vendor partners. Future research can focus on improving the efficiency of e-commerce applications in F&B distribution for both household businesses and larger-scale enterprises.

keywords: E-commerce adoption, Distribution, Household businesses, Food and beverage industry, TAM and TOE frameworks, F&amp, B distribution

참고문헌

Abualrob, A. A., & Kang, J. (2016). The barriers that hinder the adoption of e-commerce by small businesses: Unique hindrance in Palestine. Information Development, 32(5), 1528-1544.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decisio processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Ahmad, S. Z., Abu Bakar, A. R., Faziharudean, T. M., & Mohamad Zaki, K. A. (2015). An empirical study of factors affecting ecommerce adoption among small- and medium-sized enterprises in a developing country. Evidence from Malaysia. Information Technology for Development, 21(4): 555-72. https://doi.org/10.1080/02681102.2014.899961

Al-Alawi, A. I., & Al-Ali, F. M. (2015). Factors affecting ecommerce adoption in SMEs in the GCC, An empirical study of Kuwait. Research Journal of Information Technology, 7(1): 1–21. https://doi.org/10.3923/rjit.2015.1.21

Al-Bakri, A. A., & Katsioloudes, M. I. (2015). The factors affecting e-commerce adoption by Jordanian SMEs. Management Research Review, 38(7): 726-49. https://doi.org/10.1108/MRR-12-2013-0291

Al-Qirim, N. (2007). The adoption of eCommerce communications and applications technologies in small businesses in New Zealand. Electronic Commerce Research and Applications, 6(4), 462-473. https://doi.org/10.1016/j.elerap.2007.02.012

Anderson, G. L. (2010). Research on democracy. International Journal on World Peace, 27(4), 3-5.

Anning-Dorson, T. (2016). Interactivity innovations, competitive intensity, customer demand, and performance. International Journal of Quality and Service Sciences, 8(4), 536-554. https://doi.org/10.1108/IJQSS-11-2015-0075

Aryani, R. A. I., Herwanti, R. T., & Basuki, P. (2018). The Effect of Perception of Use, Ease, Security and Confidentiality to Use EFiling (Study in the Tax Office Pratama Raba Bima). International Journal of Scientific Research and Management, 6(4), 294-304. https://doi.org/10.18535/ijsrm/v6i4.em08

10.

Biagi, F., & Falk, M. (2017). The impact of ICT and e-commerce on employment in Europe. Journal of Policy Modeling, 39(1), 1-18. http://dx.doi.org/10.1016/j.jpolmod.2016.12.004

11.

Chang, J., & Dasgupta, B. (2015). An Investigation of the Barriers to E-business Implementation in Small and Medium-Sized Enterprises. International Journal of Industrial and Systems Engineering, 9(1), 26-36.

12.

Chauhan, S., Jaiswal, M., & Kar, A. K. (2018). The acceptance of electronic voting machines in India: A UTAUT approach. Electronic Government, an International Journal, 14(3), 255-275.

13.

Chen, L. D., & Tan, J. (2004). Technology adaptation in ecommerce:Key determinants of virtual stores acceptance. European Management Journal, 22(1), 74-86. https://doi.org/10.1016/j.emj.2003.11.014

14.

Das, K. (2018). The digital archipelago: How online commerce is driving Indonesia's economic development. McKinsey.

15.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

16.

Fan, J., Tang, L., Zhu, W., & Zou, B. (2018). The Alibaba effect:Spatial consumption inequality and the welfare gains from ecommerce. Journal of International Economics, 114(C), 203-220.

17.

Friedkin, N. E. (2006). A structural theory of social influence (Vol. 13). Cambridge University Press.

18.

Guzzo, T., Ferri, F., & Grifoni, P. (2016). A model of e-commerce adoption (MOCA): Consumer's perceptions and behaviours. Behaviour & Information Technology, 35(3), 196-209. https://doi.org/10.1080/0144929X.2015.1132770

19.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.

20.

Hamelink, M., & Opdenakker, R. (2019). How business model innovation affects firm performance in the energy storage market. Renewable Energy, 131, 120-127. https://doi.org/10.1016/j.renene.2018.07.051

21.

Harkness, J., Pennell, B. E., & Schoua‐Glusberg, A. (2004). Questionnaire translation and assessment, in Presser, S., Couper, M. P., Lessler, J. T., Martin, E., Martin, J., Rothgeb, J. M., & Singer, E, Methods for testing and evaluating survey questionnaires, pp. 453-473, Hoboken, NJ: John Wiley &Sons.

22.

Heuer, D., Brettel, M., & Kemper, J. (2015). Brand competition in fashion e-commerce. Electronic Commerce Research and Applications, 14(6), 514-522.

23.

Holt, D. T., Armenakis, A. A., Harris, S. G., & Feild, H. S. (2007). Toward a Comprehensive Definition of Readiness for Change:A Review of Research and Instrumentation. Research in Organizational Change and Development, 16, 189-336. https://doi.org/10.1016/S0897-3016(06)16009-7

24.

Jones, A. B., & Kauppi, K. (2018). Examining the antecedents of the technology acceptance model within e-procurement. International Journal of Operations and Production Management, 38(1), 22-42. https://doi.org/10.1108/IJOPM-06-2015-0346

25.

Jeon, B. N., Han, K. S., & Lee, M. J. (2006). Determining factors for the adoption of e-business: The case of SMEs in Korea. Applied Economics, 38(16), 1905-1916. https://doi.org/10.1080/00036840500427262

26.

Jyoti, J., & Arora, H. (2013). Impact of client-vendor relationship on firm’s financial performance: A study of outsourcing firms. Global business review, 14(4), 691-709.

27.

Kabango, C. M., & Asa, A. R. (2015). Factors influencing ecommerce development: Implications for the developing countries. International Journal of Innovation and Economic Development, 1(1), 64-72.

28.

Kalakota, R., Stallaert, J., & Whinston, A. (1996). Worldwide realtime decision support systems for electronic commerce applications. Journal of organizational computing and electronic commerce, 6(1), 11-32. https://doi.org/10.1080/10919399609540265

29.

Kolvereid, L. (1996). Prediction of employment status choice intentions. Entrepreneurship Theory and Practice, 21(1), 47-58.

30.

Kuan, K. K., & Chau, P. Y. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information &management, 38(8), 507-521. https://doi.org/10.1016/S0378-7206(01)00073-8

31.

Lee, C. P., & Shim, J. P. (2007). An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry. European Journal of Information Systems, 16(6), 712-724. https://doi.org/10.1057/palgrave.ejis.3000716

32.

Lim, S., & Trakulmaykee, N. (2018). An empirical study on factors affecting e-commerce adoption among SMEs in west Malaysia. Management Science Letters, 8(5), 381-392. DOI:10.5267/j.msl.2018.4.008

33.

Moisescu, O. I. (2018). From perceptual corporate sustainability to customer loyalty: A multi-sectorial investigation in a developing country. Economic research-Ekonomska istraživanja, 31(1), 55-72.

34.

Molla, A., & Licker, P. S. (2005). eCommerce adoption in developing countries: A model and instrument. Information &management, 42(6), 877-899. https://doi.org/10.1016/j.im.2004.09.002

35.

Ndayizigamiye, P., & McArthur, B. (2014). Determinants of ecommerce adoption amongst SMMEs in Durban, South Africa. Mediterranean Journal of Social Sciences, 5(25), 250-250.

36.

Nguyen, X. T., & Luu, Q. K. (2020). Factors Affecting Adoption of Industry 4.0 by Small- and Medium-Sized Enterprises: A Case in Ho Chi Minh City, Vietnam. Journal of Asian Finance, Economics and Business, 7(6), 255-264. https://doi.org/10.13106/jafeb.2020.vol7.no6.255

37.

Nguyen, X. T. (2019). Factors Impacting on Korean Consumer Goods Purchase Decision of Vietnam’s Generation Z. Journal of distribution Science, 17(10), 61-71. https://doi.org/10.15722/jds.17.10.201910.61

38.

Oliveira, J. A. S. d., Basso, L. F. C., Kimura, H., & Sobreiro, V. A. (2018). Innovation and financial performance of companies doing business in Brazil. International Journal of Innovation Studies, 2, 153-164. https://doi.org/10.1016/j.ijis.2019.03.001

39.

Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320. https://doi.org/10.1177/109467050024001

40.

Paris, D. L., Bahari, M., Iahad, N. A., & Ismail, W. (2016). Systematic literature review of e-commerce implementation studies. Journal of Theoretical and Applied Information Technology, 89(2) 422-438.

41.

Peters, M., Kallmuenzer, A., & Buhalis, D. (2019). Hospitality entrepreneurs managing quality of life and business growth. Current Issues in Tourism, 22(16), 2014-2033. https://doi.org/10.1080/13683500.2018.1437122

42.

PoorangI, M. M., Khin, E. W., nikoonejad, S., & kardevani, A. (2013). E-commerce adoption in Malaysian Small and Medium Enterprises Practitioner Firms: A revisit on Rogers’model. An Acad Bras Cienc, 85(4).

43.

Purnama, C., & Subroto, W. T. (2016). Competition intensity, uncertainty environmental on the use of information technology and its impact on business performance small and medium enterprises. International Review of Management and Marketing, 6(4), 984-992.

44.

Rana, N. P., Barnard, D. J., Baabdullah, A. M., Rees, D., & Roderick, S. (2019). Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM. International Journal of Information Management, 44, 141-153. https://doi.org/10.1016/j.ijinfomgt.2018.10.009

45.

Rahayu, R., & Day, J. (2015). Determinant factors of e-commerce adoption by SMEs in developing country: evidence from Indonesia. Procedia-social and behavioral sciences, 195(3) 142-150. https://doi.org/10.1016/j.sbspro.2015.06.423

46.

Rivis, A., & Sheeran, P. (2003). Descriptive norms as an additional predictor in the theory of planned behaviour: A meta-analysis. Current psychology, 22(3), 218-233. https://doi.org/10.1007/s12144-003-1018-2

47.

Rowe, F., Truex, D., & Huynh, M. Q. (2012). An empirical study of determinants of e-commerce adoption in SMEs in Vietnam:An economy in transition. Journal of Global Information Management (JGIM), 20(3), 23-54.

48.

Ruiz-Ortega, M. J., Parra-Requena, G., & Garcia-Villaverde, P. M. (2016). Do Territorial Agglomerations Still Provide Competitive Advantages? A Study of Social Capital, Innovation, and Knowledge. International Regional Science Review, 39(3), 259-290. https://doi.org/10.1177/0160017613512652

49.

Saffu, K., Walker, J. H., & Mazurek, M. (2012). Perceived strategic value and e-commerce adoption among SMEs in Slovakia. Journal of Internet Commerce, 11(1), 1-23. https://doi.org/10.1080/15332861.2012.650986

50.

Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The adoption of information technology in the sales force. Industrial marketing management, 34(4), 323-336.

51.

Sigalas, C., Economou, V. P., & Georgopoulos, N. B. (2013). Developing a measure of competitive advantage. Journal of Strategy and Management.

52.

Solaymani, S., Sohaili, K., & Yazdinejad, E. A. (2012). Adoption and use of e-commerce in SMEs, A case study. Electronic Commerce Research, 12(3): 249-63. https://doi.org/10.1007/s10660-012-9096-6

53.

Sucahyo, Y. G., Utari, D., Budi, N. F. A., Hidayanto, A. N., & Chahyati, D. (2016). Knowledge management adoption and its impact on organizational learning and non-financial performance. Knowledge Management & E-Learning: An International Journal, 8(2), 387-413. https://doi.org/10.34105/j.kmel.2016.08.025

54.

Susanty, A., Handoko, A., & Puspitasari, N. B. (2020). Push-pullmooring framework for e-commerce adoption in small and medium enterprises. Journal of Enterprise Information Management, 33(2), 381-406. https://doi.org/10.1108/JEIM-08-2019-0227

55.

Teo, T. S., & Tan, M. (1998). An empirical study of adoptors and non-adopters of the Internet in Singapore. Information &management, 34(6), 339-345. https://doi.org/10.1016/S0378-7206(98)00068-8

56.

Teo, T., Ursavas, O. F., & Bahcekapili, E. (2011). Efficiency of the technology acceptance model to explain pre-service teachers'intention to use technology: A Turkish study. Campus-Wide Information Systems, 28(2), 93-101. https://doi.org/10.1108/10650741111117798

57.

Thong, J. Y. (1999). An integrated model of information systems adoption in small businesses. Journal of management information systems, 15(4), 187-214. https://doi.org/10.1080/07421222.1999.11518227

58.

Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). Processes of technological innovation. Lexington books.

59.

Wagner, M. (2015). The link of environmental and economic performance: Drivers and limitations of sustainability integration. Journal of Business Research, 68(6), 1306-1317.

60.

Wu, W. W. (2011). Developing an explorative model for SaaS adoption. Expert systems with applications, 38(12), 15057-15064.

61.

Xin, M., & Levina, N. (2008, December). Software-as-a-service model: Elaborating client-side adoption factors. In Proceedings of the 29th International Conference on Information Systems, R. Boland, M. Limayem, B. Pentland, (eds), Paris, France. 14-17 December

62.

Yang, Z., Sun, J., Zhang, Y., & Wang, Y. (2015). Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model. Computers in Human Behavior, 45, 254-264. https://doi.org/10.1016/j.chb.2014.12.022

63.

Younge, K. A., & Tong, T. W. (2018). Competitive pressure on the rate and scope of innovation. Journal of Economic Behavior and Organization, 150, 162-181. https://doi.org/10.1016/j.jebo.2018.03.026

64.

Yu, W., Ramanathan, R., & Nath, P. (2017). Environmental pressures and performance: An analysis of the roles of environmental innovation strategy and marketing capability. Technological Forecasting & Social Change, 117, 160-169. https://doi.org/10.1016/j.techfore.2016.12.005

65.

Zhu, K., & Kraemer, K. L. (2005). Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information systems research, 16(1), 61-84. https://doi.org/10.1287/isre.1050.0045

바로가기메뉴

논문 상세

Vol.20 No.2

E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry

E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry

Abstract

참고문헌

The Journal of Distribution Science(JDS)