Application of Conjoint Analysis with Attributes Determined Against the Selection of Expedition Services
DOI:
https://doi.org/10.62951/ijamc.v2i3.201Keywords:
Conjoint Analysis, Expedition Services, Full-Profile MethodAbstract
This study aims to determine the level, attribute, and stimulus most considered by respondents in choosing expedition services. The method used is conjoint analysis by applying the conjoint analysis full-profile method to design the stimulus. The attributes and levels used are delivery type (ECO, REG, express, and same day), payment methods (cash and online transfers), service promotions (cost discounts and goods pick-up), and service responsiveness (responses to damage or loss of goods and responses to late delivery). The results of research conducted on 150 respondents showed that delivery type is the most preferred attribute with a value of 0,324. The levels with the largest part-worth of each attribute are REG (0.335), online transfers (0.210), cost discounts (0.270), and response to damage or loss of goods (0.250). The most popular stimulus is expedition services with standard shipping (REG), online transfers, cost discounts, and responses to damage or loss of goods.
References
Rinaldi, D.N., Azizah,F.N, Putra,C.G.G, "Cluster And Conjoint Analisis For Determining Online Shop Shopee Customers Preference Based On E-Service Quality," BAREKENG: Journal of Mathematical and Applied Sciences.Vol. 15(2). doi:: https://doi.org/10.30598/barekengvol15iss2pp361-372,p. 361 – 372, 2021.
Annas,M., Humairoh, Chandra, G., Tannady, H., "How Is The Customer Satisfied With The Expedition Service?," IJEBIR, Volume 02 Issue 02, pp. 183-199, 2023.
Janti,S., Adriansyah,M.,& Taufik,G., "Simple Additive Weighting for Decision Support Selection of Expedition Services," SynkrOn: Journal and Research in Informatics Engineering. Volume 4, Number 2. DOI : https://doi.org/10.33395/sinkron.v4i2.10520,pp. 115-122, 2020.
R. Indrayani, "Identify Consumer Behavior in Choosing Delivery Services in Shopping in the Digital Era," Journal of Research in Business, Economics, and Education, Volume 3, Issue 6, pp. 198-203, 2021.
F. Atmaja, "Analysis of Attributes that Become Consumer Preferences in Choosing Indonature Table Furniture Products," International Journal of Review Management, Business,and Entrepreneurship (RMBE).Vol. 1, No. 2, pp. 272-280, 2021.
A. Kotri, Analyzing Customer Value using Conjoint Analysis: The Example of a Packaging Company, Estonia: Tartu University Press, 2006.
Moskowitz,H.R. & Silcher,M., "The applications of conjoint analysis and their possible uses in Sensometrics," Food Quality and Preference.Volume 17, Issues 3–4.https://doi.org/10.1016/j.foodqual.2005.07.006, pp. 145-165, 2006.
Kosasih, W., Salomon,L.L, & Halim,A.D, "Integration of conjoint analysis and QFD for new product development in manufacturing small and medium enterprises (case study: a food company)," IOP Conf. Series: Materials Science and Engineering 847.doi:10.1088/1757-899X/847/1/012017, pp. 1-9, 2020.
SunitaKhurana & Banerjee,S., "An Approach Of Conjoint Analysis Based On Orthogonal Array For Predicting Customer"s Satisfaction," Global Journal Of Engineering Science And Researches.DOI: 10.5281/zenodo.1293879, pp. 284-298, 2018..
Hair, J., Anderson, R., Babin, B., & Black, W., Multivariate Data Analysis.7th Edition, New York.: Pearson, 2010.
Galli, B., Kaviani,M.A., Emrouznejad,A. & Sharifabadi,A.M., "Application of Conjoint Analysis in Improving the Value of New Product Development: A Hotel Case Study Analysis," International Journal of Strategic Decision Sciences. Vol 8 (2). DOI: 10.4018/IJSDS.2017040102, pp. 12-30, 2017.
Radas,S. & Prelec,D., "Predicted Preference Conjoint Analysis," PLOS ONE 16(8):. https://doi.org/10.1371/journal.pone.0256010, pp. 1-16, 2021.
Rinaldi, D.N., Azizah,F.N. & Putra, C.G.G., "Cluster And Conjoint Analysis For Determiing Online Shop Shopee Customers Reference based On E-Service Quality," BAREKENG: Journal of Mathematical and Applied Sciences, Vol. 15 No. 2. https://doi.org/10.30598/barekengvol15iss2pp361-372,p. 361 – 372, 2021.
O. Apuke, "Quantitative Research Methods : A Synopsis Approach," Arabian Journal of Business and Management Review (Kuwait Chapter). DOI: 10.12816/0040336, pp. 40-47, 2017.
Ethics,I.,Moses, S.A. & Alkassim , R.S. ,, " A Comparison of Convenience Sampling and Purposive Sampling ," .American Journal of Theoretical and Applied Statistics,vol. 5, no. 1. doi: 10.11648/j.ajtas.20160501.11, pp. 1-4, 2016.
H. Taherdoost, "Sampling Methods in Research Methodology; How to Choose a Sampling Technique for Research," International Journal of Academic Research in Management (IJARM).Vol. 5, No. 2. DOI: 10.2139/ssrn.3205035, pp. 18-27, 2016.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. , Multivariate Data Analysis (Eigth Edit)., Andover, Hampshire, United Kingdom: Cengage Learning, EMEA, 2019.
Khurana,S. & Banerjee, S., "Approach Of Conjoint Analysis Based On Orthogonal Array For Predicting Customer's Satisfaction," GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES. DOI: 10.5281/zenodo.1293879, pp. 284-298, 2018 .
H. Taherdoost, "Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research," International Journal of Academic Research in Management (IJARM),Vol. 5, No. 3,, pp. 28-36,, 2016.
Julianisa, R.D., Safitri, D., Yasin, H., "Full Profile Conjoint Analysis in Selection of Powder for Students of the Department of Statistics, Diponogoro University,"JURNAL GAUSSIAN Vol. 5, No. 4.https://doi.org/10.14710/j.gauss.5.4.747-756 , pp. 747-756, 2016 .
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Applied Mathematics and Computing
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
