Factors Influencing Consumer’s Intention to Buy Furniture Online in Greater Jakarta, Indonesia

Authors

  • Vania Valencia Universitas Prasetiya Mulya
  • Santoso Santoso Universitas Prasetiya Mulya
  • Pradita Eka Pebrianti Universitas Prasetiya Mulya
  • Muhammad Aries Satria Raharjo Universitas Prasetiya Mulya

DOI:

https://doi.org/10.32493/jpkpk.v4i1.7175

Keywords:

furniture, consumer’s attitude, consumer’s intention to buy, consumer’s perception, online shopping, perceived benefit, perceived risk.

Abstract

The purpose of this research was to examine the factors that affect the consumer’s intention to purchase furniture via online store in Greater Jakarta. Some of the factors that considered by this research as a baseline on this journal were the consumer perceptions, perceived risk and perceived benefits. In addition, this research adding another relationship between consumer’s attitude and intention to make a purchase online. An Internet-administered survey method use to Greater Jakarta citizen. Results of this research have shown that online shopping is begin to be considered successfully provide a substantial benefit to the consumer, even though the risk factor proportion still exist. The findings also show that the increased attitudes of Greater Jakarta consumers towards online furniture shopping have been significantly affected by consumer perception and benefit. 

References

Alba J, Lynch J, Wood S, et al. (1997). “Interactive Home Shopping: Consumer, Retailer, and Manufacturers Incentives to Participate in Electronic Marketplacesâ€. Journal of Marketing Vol:61. No.3, pp. 38-53.

Ajzen, I. 1985. From intentions to actions: A theory of planned behavior. In: Action Control: From Cognition to Behavior. J. Kuhl and J. Beckman (Eds.). Springer, Heidelberg, Germany. pp. 11–39.

Ajzen, I. 1991. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2):179–211.

Ajzen, I. and M. Fishbein. 1980. Understanding Attitudes and Predicting Social Behavior: An Illustration of Applied Social Research. Prentice Hall, Englewood Cliffs, New Jersey.

Bhatnagar, A. & Ghose, S. (2004). Segmenting consum- ers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352-1360.

Bhatnagar, A., Misra, S. & Rao, H. R. (2000). On risk, convenience and Internet shopping behavior. Communication of the ACM, 43(11), 98-105.

Burke, R. R. (1997). Do you see what I see? The future of virtual shopping. Journal of the Academy of Marketing Science, 25(4), 352-361.

Christmann A. & van Aelst, S. (2005), “Robust Estimation of Cronbach’s Alphaâ€, Elsevier Science, 1-25

Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 1951(16):297–334.

Cui, R. and Y. C. Ma. 2018. Effect of credit service mechanisms on consumers’ purchase intention in online transaction platform. J. Jiangsu Univ. (Social Sci. Ed.) 20(3):74–83. (In Chinese.).

Eastlick, M. & Feinberg, R. (1999). Shopping motives for mail catalog shopping. Journal of Business Research, 45(3), 281-290.

Emarketer (2018), Consumers’ Warming Up to Purchasing Furniture Online, Available from https://www.emarketer.com/content/consumers-are-warming-up-to-purchasing-furniture-online/

Fishbein, M. and I. Ajzen. 1975. Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Addison-Wesley, Reading, Massachusetts.

Forsythe, S., Liu, C., Shannon, D. & Gardner, L. C. (2006). Development of a scale to measure the per- ceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75.

Forsythe, S. M. & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875.

Fram, E. H. & Grady, D. B. (1997). Internet shoppers: Is there a surfer gender gap? Direct Marketing, 59(9), 46-50.

Global Business Indonesia Article 2018, http://www.gbgindonesia.com/en/manufacturing/article/2018/indonesia_s_furniture_industry_competitive_advantages_hampered_by_bureaucracy_11859.php

George, J. F. (2004). The theory of planned behavior and Internet purchasing. Journal of Internet Research. 14(3).198-212. Available at http://dx.doi.org/10.1108/10662240410542634

Ghosh, S. (1998). Marketing business sense of the inter- net. Harvard Business Review, March-April, 26(2), 127-135.

Husain, T., & Sunardi, N. (2020). Firm's Value Prediction Based on Profitability Ratios and Dividend Policy. Finance & Economics Review, 2(2), 13-2

Hassan, A. M., Kunz, M. B., Pearson, A. W. & Mohamed, F. A. (2006). Conceptualization and measurement of perceived risk in online shopping. The Marketing Management Journal, 16(1), 138-147.

IAMAI (Internet and Mobile Association of India) Annual report 2012-2013, available at http://www.iamai.in/pdf/AnnualReport201314LowRes.pdf

Jahng, J., Jain, H., & Ramamurthy, K. (2001).The impact of electronic commerce environment on user behavior. E-service Journal, 1(1), 41-53.

Jarvenpaa, S. L. & Todd, P. A. (1996). Consumer reac- tion to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59-88.

Jones, K. and L. N. K. Leonard. 2008. Trust in consumer-to-consumer electronic commerce. Inform. Manag. 45(2):88–95.

Keeney, R. L. (1999). The value of internet commerce to the Customer. Management Science, 45(4), 533-545.

Krista Gracia (2018), Article, https://www.emarketer.com/content/consumers-are-warming-up-to-purchasing-furniture-online

Kadim, A., Sunardi, N., & Husain, T. (2020). The modeling firm's value based on financial ratios, intellectual capital and dividend policy. Accounting, 6(5), 859-870.

Lee, D., Park J. & Ahn, J. (2001). On the Explanation of Factors Affecting E-Commerce Adoption. Proceedings of the 22nd Information Conference on Information Systems (pp. 109-120). New Orleans, LA.

Lesmana, R. (2017). Pengaruh Citra Perusahaan Terhadap Keputusan Pembelian Konsumen PT. Garuda Indonesia Tbk.(Persero). JIMF (Jurnal Ilmiah Manajemen Forkamma), 1(1).

Lesmana, R. (2019). Pengaruh Kualitas Produk Dan Kualitas Pelayanan Terhadap Kepuasan Konsumen Pt. Radekatama Piranti Nusa. Jurnal Pemasaran Kompetitif, 2(2), 115-129.

Li, P. 2007. Analysis of influence on the online shopping attitude in C2C e-commerce. Dissertation. Harbin Institute of Technology, China. (In Chinese.).Lim, Weng Marc; Ting, Ding Hooi (2014), “Consumer Acceptance and Continuance of Online Group Buyingâ€, The Journal of Computer Information Systems, 87–96.

Lim, J. S., Darley, W. & Summers, J. O. (1994). An as- sessment of country of origin effects under alterna- tive presentation format. Journal of the Academy of Marketing Science, 22(3), 274-182.

Lim, N. (2003). Consumers’ perceived risk: Sources ver- sus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.

Lin, J. B., Y. W. Lu, and J. L. Zhang. 2009. An empirical study on consumers’ trust of mobile stock based on TAM theory. J. Manag. Sci. 22(5):61–71. (In Chinese).

Lin, Meng, et al. (2019), “Research on Consumers’ Attitude in China about Using Online-to-Offline

Lutz, R. J. (1991). The role of attitude theory in marketing. In H. H. Kassarjian & T. S. Roberson (Eds), Perspectives in consumer behavior (pp. 317-339). Englewood Cliffs, New Jersey: Prentice Hall.

Lynch, J. G. & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality and distribu- tion. Journal of MarketingScience,19(1), 83-103.

Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336-355. Retrieved from http://isr.journal.informs.org/content/15/4/336

Malls Going to the Wall as Internet Shopping becomes More Popular. (2011). Retrieved from: http://www.news.com.au/business/malls-going-to-the-wall-as-internet-shopping-becomes-more-popular/story-e6frf-m1i-1226075407253

Marganosky, M. A. & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail and Distribution Management, 28(1), 17-26.

Miller, N. G. (2000). Retail leasing in a web enabled world. Journal of Real Estate Portfolio Management, 6(2), 167-184.

Mode for Purchasing Wooden Furnitureâ€, Forest Product Journal Vol. 69 No. 2, 159–172.

Mordor Intelligence, https://www.mordorintelligence.com/industry-reports/indonesia-home-furniture-market?gclid=CjwKCAiAxMLvBRBNEiwAKhr-nAA-hU_OpHbrwOUP97VZPPLxaXPqDbMfANiCwLgAHTb9tbHmEUx_txoC8gQQAvD_BwE

Mordor Intelligence (2019), Indonesia Home Furniture Market – Growth, Trends, and Forecast (2019–2024), Available from https://www.mordorintelligence.com/industry-reports/indonesia-home-furniture-market/

Resnick, P., Zeckhauser, R., Friedman, E. & Kuwabara, K. (2000). Reputation Systems. Communications of the ACM, 43(12), 45-48.

Sarwani, S., Sunardi, N., AM, E. N., Marjohan, M., & Hamsinah, H. (2020). Penerapan Ilmu Manajemen dalam Pengembangan Agroindustri Biogas dari Limbah Kotoran Sapi yang Berdampak pada Kesejahtraan Masyarakat Desa Sindanglaya Kec. Tanjungsiang, Kab. Subang. Jurnal Abdi Masyarakat Humanis, 1(2).

Rotter, J. B. 1971. Generalized expectancies for interpersonal trust. Am. Psychol. 26(5):443–452.

Sinha, Priyanka; Singh, Saumya (2016), “E-Retailing in Developing Economy – A Study on Consumers’ Perceptionsâ€, Academy of Marketing Studies Journal Volume 20, Number 3, 62–72.

Statista (2019), Number of internet users in Indonesia from 2017 to 2023 (in millions), Available from https://www.statista.com/statistics/254456/number-of-internet-users-in-indonesia/

Swinyard, W. R., & Smith, S. M. (2003). Why People Don‘t Shop Online: A Lifestyle Study of the Internet Consumers. Psychology and Marketing, 20(7). 567-597. http://dx.doi.org/10.1002/mar.10087/

Taylor, S. and P. A. Todd. 1995. Understanding information technology usage: A test of competing models. Inform. Syst. Res. 6(2):144–176.

Teo, T. S. H. and J. Liu. 2007. Consumer trust in e-commerce in the United States, Singapore and China. Omega 35(1):22–38.

Torkzadeh, G. & Dillion, G. (2002). Measuring fac- tors that influence the success of internet commerce. Information Systems Research, 13(2), 187-204.

Van den Poel, D. & Leunis, J. (1999). Consumer ac- ceptance of the Internet as a channel of distribution. Journal of Business Research, 45(3), 249-256.

Verhoef, P.C. & Langerak, F. (2001) Possible determi- nants of consumers’ adoption of electronic grocery shopping in The Netherlands, Journal of Retailing and Consumer Services, 8, 275-85.

Vijayasarathy, L. R. & Jones, J. M. (2000). Print and in- ternet catalog shopping: Assessing attitudes and inten- tions. Internet Research, 10(3), 191-202.

Vijayasarathy, L. R. (2004). Predicting consumer inten- tions to use on-line shopping: The case for an aug- mented technology acceptance model. Information Management, 41(6), 747-762.

Wani, Sajid Nazir; Malik, Sheeba (2013), “A Comparative Study of Online Shopping Behaviour: Effects of Perceived Risks and Benefitâ€, International Journal of Marketing and Business Communication Volume 2, 41–55.

Williams E.S, Konrad T.R, Scheckler WE, et al. (2001), “Understanding physicians' intentions to withdraw from practice: the role of job satisfaction, job stress, mental and physical healthâ€, Health Care Manage Rev 26, 7–19.

Wolfinbarger, M. F. & Gilly, M. C. (2001). Shopping online for freedom, control and fun. California Management Review, 43(2), 34-55

Wu, J. N. 2014. Impacts of service vendors’ characteristics and consumers’ disposition to trust on mobile commerce trust intention. Comm. Res. 5:94–101. (In Chinese.).

Xu, C. 2016. The Impact of Trust Tendency, Social Identity Information and Expectation on Strangers’ Trust. Yunnan Normal University, Kunming, China. (In Chinese.)

Yang, B., & Lester, D. (2004) Attitudes toward buying online. Cyber Psychology & Behavior, 7,(1), 85-91.Yang, B., Lester, D., & James, S. (2007). Attitudes toward buying online as predictors of shopping online for British and American respondents. Cyber Psychology and Behavior, 10(2), 198-203.

Zhai, X. and T. Xue. 2014. Social Trust: Theories and their Practices. Renmin University of China, Beijing.

Zhang, H. and Y. W. Jiang. 2016. Empirical analysis on the influencing factors of consumer online shopping behavior decision-making based on revised TAM model. J. Comm. Econ. 14:36–38. (In Chinese.)

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Published

2020-10-01