E-commerce Platform Performance, Digital Marketing and Supply Chain Capabilities
DOI:
https://doi.org/10.21632/irjbs.13.1.63-80Keywords:
E-commerce, Digital Marketing, Supply Chain Capability, E-commerce Performance, Customer Review RatingAbstract
By using Indonesian case studies, this research plan to fill the research gap in the theories of transaction cost economics, multi-attribute utility theory, agency theory and information-processing theory, through variable based modeling. For business and industry stakeholder point of view, this research is expected to be useful for Indonesian e-commerce platform ecosystem stakeholders especially regulators, to give insights towards dynamics within e-commerce platform ecosystem. This paper originality lies on proposing e-commerce conceptual model by using multidisciplinary approach through combining four main constructs, which consists of relative e-commerce platform performance, digital promotion capability, customer experience review rating and supply
chain capabilities. The model also accommodates seasonal pricing and logistic outsourcing as intervening variables to examine model
sensitivity. With sample size of 1288 people who have purchased items in at least two e-commerce platform, collected data is processed using Structural Equation Modeling (SEM) method by LISREL software.
References
A. B. Bower and J. G. Maxham (2012). Return shipping policies of online retailers: Normative assumptions and the long-term consequences of fee and free returns. Journal of Marketing, 76(5), 110-124, https://doi.org/10.1509%2Fjm.10.0419
A. Hortaçsu and C. Syverson (2015). The Ongoing Evolution of US Retail: A Format Tug-of-War. Journal of Economics Perspective, 29(4), 89-112, https://doi.org/10.3386/w21464
A. Molla and R. Heeks (2007). Exploring e-commerce benefits for businesses in a developing country. The Information Society, 23(2), 95-108, https://doi.org/10.1080/01972240701224028
B. Aslam and H. Karjaluoto (2017). Digital advertising around paid spaces, E-advertising industry’s revenue engine: A review and research agenda. Telematics and Informatics, 34(8), 1650-1662, https://doi.org/10.1016/j.tele.2017.07.011
C. C. Defee and B. S. Fugate (2010). Changing perspective of capabilities in the dynamic supply chain era. International Journal of Logistics Management, 21(2), 180-206, DOI:10.1108/09574091011071915
C. G. Cegielski, L. Allison Jones-Farmer, Y. Wu, and B. T. Hazen (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. International Journal of Logistics Management, 23(2), 184-211, https://doi.org/10.1108/09574091211265350
C. H. Wong, G. W. H. Tan, B. I. Tan, and K. B. Ooi (2015). Mobile advertising: The changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720-734, https://doi.org/10.1016/j.tele.2015.03.003
E. Bakker, J. Zheng, L. Knight, and C. Harland (2008). Putting e-commerce adoption in a supply chain context. International Journal of Operations and Production Management, 28(4), 313-330, https://doi.org/10.1108/01443570810861543
E. Hartmann and S. Herb (2014). Opportunism risk in service triads - a social capital perspective. International Journal of Physical Distribution & Logistics Management, 44(3), 242-256, https://doi.org/10.1108/IJPDLM-08-2012-0249
H. Karjaluoto, N. Mustonen, and P. Ulkuniemi (2015). The role of digital channels in industrial marketing communications. Journal of Business & Industrial Marketing, 30(6), 703-710, https://doi.org/10.1108/JBIM-04-2013-0092
H. R. Greve and S. Y. Song (2017). Amazon warrior: How a platform can restructure industry power and ecology. Advances in Strategic Management, 37, 299-335, https://doi.org/10.1108/S0742-332220170000037010
I. Pentina and R. W. Hasty (2009). Effects of multichannel coordination and e-commerce outsourcing on online retail performance. Journal of Marketing Channels, 16(4), 359–374, https://doi.org/10.1080/10466690903188021
I. Sirkeci and L. B. Magnúsdóttir (2011). Understanding illegal music downloading in the UK: A multi-attribute model. Journal of Research in Interactive Marketing, 5(1), 90-110, https://doi.org/10.1108/17505931111121543
J. Joong-Kun Cho, J. Ozment, and H. Sink (2008), Logistics capability, logistics outsourcing and firm performance in an e-commerce market. International Journal of Physical Distribution & Logistics Management, 38(5), 336-359, https://doi.org/10.1108/09600030810882825
J. Luo, S. Ba, and H. Zhang (2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. MIS Quarterly, 36(4), 1131-1144, https://doi.org/10.2307/41703501
K. Picot-Coupey, E. Huré, and L. Piveteau (2016). Channel design to enrich customers’ shopping experiences: Synchronizing clicks with bricks in an omni-channel perspective - the Direct Optic case. International Journal of Retail and Distribution Management, 44(3), 336-368, https://doi.org/10.1108/IJRDM-04-2015-0056
L. Hsiao and Y. J. Chen (2013). The perils of selling online: Manufacturer competition, channel conflict, and consumer preferences, Marketing Letters, 24(3), 277-292, https://doi.org/10.1007/s11002-012-9216-z
M. Bonera (2011). The propensity of e-commerce usage: The influencing variables. Management Research Review, 34(7), 821-837, https://doi.org/10.1108/01409171111146706
M. Hänninen, A. Smedlund, and L. Mitronen (2018). Digitalization in retailing: multi-sided platforms as drivers of industry transformation. Balti. J. Management, 13(2), 152–168, https://doi.org/10.1108/BJM-04-2017-0109
M. Kim, J. Kim, J. Choi, and M. Trivedi (2017). Mobile Shopping Through Applications: Understanding Application Possession and Mobile Purchase. Journal of Interactive Marketing, 39, 55-68, https://doi.org/10.1016/j.intmar.2017.02.001
N. Gudigantala, P. Bicen, and M. (Tae in) Eom (2016). An examination of antecedents of conversion rates of e-commerce retailers. Management Research Review, 39(1), 82-114, https://doi.org/10.1108/MRR-05-2014-0112
O. E. Williamson (2009). Pragmatic methodology: A sketch, with applications to transaction cost economics. Journal of Economic Methodology, 16(2), 145-157, https://doi.org/10.1080/13501780902940729
R. Boateng, R. Hinson, R. Heeks, and A. Molla (2008). E-commerce in least developing countries: Summary evidence and implications. Journal of African Business, 9(2), 257-285, https://doi.org/10.1080/15228910802479919
R. Ramanathan, U. Ramanathan, and H. L. Hsiao (2012). The impact of e-commerce on Taiwanese SMEs: Marketing and operations effects. International Journal of Production Economics, 140(2), 934-943, https://doi.org/10.1016/j.ijpe.2012.07.017
S. Fayezi, A. O’Loughlin, and A. Zutshi (2012). Agency theory and supply chain management: A structured literature review. Supply Chain Management, 17(5), 556-570, https://doi.org/10.1108/13598541211258618
S. Sahney, K. Ghosh, and A. Shrivastava (2013). Buyer’s motivation’ for online buying: An empirical case of railway e-ticketing in Indian context. Journal of Asia Business Studies, 8(1), 43-64, https://doi.org/10.1108/JABS-07-2011-0036
S. Zhou, B. Sun, W. Ma, and X. Chen (2018). The pricing strategy for Fuji apple in Shaanxi of Chain under the e-commerce environment. Kybernetes, 47(1), 208-221, https://doi.org/10.1108/K-06-2017-0230
Sharma, S. (1996). Applied Multivariate Techniques. John Wiley and Sons Inc., PA: New York
Tikno (2017). Measuring performance of facebook advertising based on media used: A case study on online shops in Indonesia. Procedia Computer Science, 111, 105-112, https://doi.org/10.1016/j.procs.2017.06.016
W. Gong (2009). National culture and global diffusion of business-to-consumer e-commerce. Cross Cultural Management: An International Journal, 16(1), 83-101, https://doi.org/10.1108/13527600910930059
Wijanto (2008). Structural Equation Modelling dengan LISREL 8.8: Konsep dan Tutorial. Graha Ilmu, PA: Yogyakarta.
Y. H. Hsiao, M. C. Chen, and W. C. Liao (2017). Logistics service design for cross-border E-commerce using Kansei engineering with text-mining-based online content analysis. Telematics and Informatics, 34(4), 284-302, https://doi.org/10.1016/j.tele.2016.08.002
Y. J. Kim and J. Han (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256-269, https://doi.org/10.1016/j.chb.2014.01.015
Y. S. Yen (2010). Can perceived risks affect the relationship of switching costs and customer loyalty in e-commerce?. Internet Research, 20(2), 210-224, https://doi.org/10.1108/10662241011032254
Y. Yu, X. Wang, R. Y. Zhong, and G. Q. Huang (2017). E-commerce logistics in supply chain management Implementations and future perspective in furniture industry. Industrial Management and Data Systems, 117(10), 2263-2286, https://doi.org/10.1108/IMDS-09-2016-0398
Downloads
Submitted
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Anna Amalyah Agus, Gatot Yudoko, Nur Budi Mulyono, and Taliya Imaniya
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal Author(s) Rights
For IRJBS to publish and disseminate research articles, we need publishing rights (transferred from the author(s) to the publisher). This is determined by a publishing agreement between the Author(s) and IRJBS. This agreement deals with the transfer or license of the copyright of publishing to IRJBS, while Authors still retain significant rights to use and share their own published articles. IRJBS supports the need for authors to share, disseminate and maximize the impact of their research and these rights, in any databases.
As a journal Author, you have rights to many uses of your article, including use by your employing institute or company. These Author rights can be exercised without the need to obtain specific permission. Authors publishing in IRJBS journals have comprehensive rights to use their works for teaching and scholarly purposes without needing to seek permission, including:
- use for classroom teaching by Author or Author's institution and presentation at a meeting or conference and distributing copies to attendees;
- use for internal training by the author's company;
- distribution to colleagues for their research use;
- use in a subsequent compilation of the author's works;
- inclusion in a thesis or dissertation;
- reuse of portions or extracts from the article in other works (with full acknowledgment of the final article);
- preparation of derivative works (other than commercial purposes) (with full acknowledgment of the final article);
- voluntary posting on open websites operated by the author or the author’s institution for scholarly purposes,
(But it should follow the open access license of Creative Common CC-by-SA License).
Authors/Readers/Third Parties can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially. Still, they must give appropriate credit (the name of the creator and attribution parties (authors' detail information), a copyright notice, an open access license notice, a disclaimer notice, and a link to the material), provide a link to the license, and indicate if changes were made (Publisher indicates the modification of the material (if any) and retain an indication of previous modifications.
Authors/Readers/Third Parties can read, print and download, redistribute or republish the article (e.g. display in a repository), translate the article, download for text and data mining purposes, reuse portions or extracts from the article in other works, sell or re-use for commercial purposes, remix, transform, or build upon the material, they must distribute their contributions under the same license as the original Creative Commons Attribution-ShareAlike (CC BY-SA).
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
