Blockchain Technology Application Domains along the E-Commerce Value Chain—A Qualitative Content Analysis of News Articles
Abstract
:1. Introduction
- To examine the applications of Blockchain Technology along the e-commerce value chain according to news articles and to categorise them into application domains;
- To discuss why Blockchain Technology is utilised in these applications domains.
2. Background
2.1. Blockchain Technology, Smart Contracts, and Tokens
2.2. State-of-the-Art on Blockchain Technology Use Cases along the E-Commerce Value Chain
3. Materials and Methods
3.1. News Article Selection
3.2. Qualitative Content Analysis
4. Results
4.1. Offer Design
4.2. Offer Presentation
4.3. Marketing/Transaction Initiation
4.4. Completion
4.5. Settlement
4.6. After-Sale Services
5. Discussion
- The new target group of Blockchain/crypto enthusiasts is an opportunity to expand a business as they are early adopters willing to spend a lot of money on innovative products.
- The experience design is an important aspect besides purely convincing customers of the benefits of BCT.
- The interconnectedness through communities is of particular importance in BC-based e-commerce.
- Instead of just expanding a business, many organisations benefit from developing a brand specialised in BCT products and services.
- The completion and settlement are well understood in BC-based e-commerce and do not provide a competitive advantage or unique selling point for Blockchain enthusiasts.
- Even though customers aim for data ownership and self-sovereign identity, CRM is still an important aspect of after-sale services and can be enhanced by BCT.
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Content Analysis Process Steps | Analysis According to Our Research Approach |
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Building a deductive coding frame | The main (structuring) categories of the coding frame are derived from our research aim, i.e., the e-commerce value chain steps. These concept-driven categories are based on the e-commerce value chain of Wirtz [43] and comprises two hierarchical levels, i.e., primary value chain steps as the main categories and their subdimensions as subcategories. The value chain focuses on the question of how e-commerce is conducted [1]. The value chain is a tool to understand the influence of IT on organisations [16]. It is, therefore, suitable to examine which parts of conducting commerce electronically might be affected by BCT usage. Furthermore, we base our concept-driven categories on the e-commerce value chain of Wirtz [43] for two reasons. First, the originally introduced value chain concept by Porter [49] tailored to manufacturing companies has been adapted to e-commerce already. Second, academic papers (e.g., [15,105,106]) have used single or multiple of the adapted business models including their value chains (cf. 4C-Net model) by Wirtz (e.g., [43,44]) already as a theoretical basis for further analyses. We use the e-commerce value chain as presented in Figure 1 apart from the value chain step “completion/price-setting”. As all the main categories, i.e., first-level categories, should only cover one aspect, we split this step into “completion” comprising contract finalisation and price determination, and “settlement” comprising payment handling and distribution. Furthermore, we have added category definitions, anchoring examples, and coding rules in the final coding frame. |
Building inductive categories during trial coding | The categories on the third and final level of the coding frame are developed based on data. Therefore, we selected half of the material reflecting the full diversity of our data, i.e., material from all four news outlets over the whole time period, dealing with various topics according to the headlines. Based on this material, we conducted a trial coding, built categories, and determined anchoring examples for these newly derived categories. The coding process followed a sequential approach until saturation was reached as introduced by Schreier [104]: (1) read material until a relevant passage is found; (2) check whether it fits an existing data-drive subcategory; (3) either subsume it under the existing subcategory or create a new subcategory. All the steps were conducted manually using the qualitative data analysis software MAXQDA (https://www.maxqda.com/, accessed on 20 June 2024). |
Revising the coding frame | The saturation of the coding frame was determined by the fact that no new categories were created after analysing new articles. In our trial coding, we already reached saturation after approximately 60% of the trial coding material. Some categories were stabilised at an early stage while the distinction of others was more challenging. To ensure validity (i.e., ensure the categories describe the material in an adequate way), in the next step we revised the coding frame and its assigned codes in a team of two researchers. Thereby, we determined category definitions, anchoring examples, and coding rules for the data-driven categories as well. Afterwards, the complete data set used for the trial coding was coded another time based on the final third-level categories to ensure intra-coder reliability. |
Main analysis | During the main analysis, the remaining material is coded based on the finalised coding frame. |
Presenting and interpreting the findings | Finally, we present the findings by proposing 41 BCT application domains in the e-commerce VC (according to the data-driven categories), which are described and illustrated through quotes. |
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Witt, J.; Schoop, M. Blockchain Technology Application Domains along the E-Commerce Value Chain—A Qualitative Content Analysis of News Articles. Blockchains 2024, 2, 234-264. https://doi.org/10.3390/blockchains2030012
Witt J, Schoop M. Blockchain Technology Application Domains along the E-Commerce Value Chain—A Qualitative Content Analysis of News Articles. Blockchains. 2024; 2(3):234-264. https://doi.org/10.3390/blockchains2030012
Chicago/Turabian StyleWitt, Josepha, and Mareike Schoop. 2024. "Blockchain Technology Application Domains along the E-Commerce Value Chain—A Qualitative Content Analysis of News Articles" Blockchains 2, no. 3: 234-264. https://doi.org/10.3390/blockchains2030012
APA StyleWitt, J., & Schoop, M. (2024). Blockchain Technology Application Domains along the E-Commerce Value Chain—A Qualitative Content Analysis of News Articles. Blockchains, 2(3), 234-264. https://doi.org/10.3390/blockchains2030012