The dark side of blockchains: Threats, risks, ethics and biases in blockchain adoption
Blockchain technology (BCT), or distributed ledger technology, is a disruptive technology that has enabled organizations globally across all sectors with social and economic transformations (Denter et al., 2022). It is an emerging technology that has frequently been associated with trust and transparency in storing information securely between transactions approved by all connected entities (Raj Kumar Reddy et al., 2021). Blockchain technology has gained widespread acceptance across different spheres, such as healthcare (Yaqoob et al., 2022), finance (Grover et al., 2019), marketing (Peres et al., 2022), retail banking (Miraz et al., 2020), education (Steiu, 2020), supply chain management (Underwood, 2016) to name a few. Despite being in their infancy, blockchain technologies and Artificial Intelligence (AI) are gaining momentum across various verticals, where trust is the primary driving force (Kumar et al., 2022). Prior studies have discussed how BCT has helped firms improve efficiency in their processes (Garg et al., 2021; Li et al., 2021; Nandi et al., 2020). Literature has pointed out that the offshoots of BCT in the form of cryptocurrency, non-fungible tokens, and decentralized processes aid businesses in achieving operational efficiency. The blockchain has attracted much interest from marketers, investors, financial institutions, public policymakers, politicians, and the government. The technology underpins the conception, design, and implementation of popular cryptocurrencies like Bitcoin, Litecoin, Ethereum and Ripple (Yuan & Wang, 2018).
Although blockchain brings innumerable benefits to a company, Tarafdar et al. (2013) have warned about the dark side of Information Technology (IT) use. Recent studies have highlighted particular concerns while implementing BCT (Yu et al., 2022). Some significant challenges include security, uncertain regulatory status, irreversibility, traceability and many more (Lee et al., 2019; Syed et al., 2019). Studies have examined the phenomena mentioned above at a cursory level; there is an urgent need to comprehend the negative aspects of BCT from both a theoretical and practical standpoint. The Special Issue aims to discuss themes and invite scholars to contribute theoretical and empirical validation of the threats, risks, ethics and biases in using BCT.
Emerging digital transformation technologies such as AI, Blockchain, Internet-of-Things (IoT), and big data analytics are transforming relationships among businesses. While emerging technologies present exciting and myriad opportunities for organizations, these technologies have crucial dark side effects on privacy, security and provenance tracking, creating several challenges (Rana et al., 2022; Sangal et al., 2022). Cyber currencies (e.g. Bitcoins) have a significant level of anonymity which paves the way for illicit activities, making it difficult for law enforcement firms to trace illegal users and transactions (Irwin & Turner, 2018; Sun Yin et al., 2019). Bitcoins have been linked with money laundering (van Wegberg et al., 2018), online drug industry (Chawki, 2022), cybercriminal activity (Badawi et al., 2022), and ransomware attacks (Turner et al., 2022). The challenges of technical complexity and the concerns regarding deployment benefits have blunted blockchain adoption (Liang et al., 2021). The other challenges in using blockchain in business are related to the financial (e.g. weakness in exchanges), regulation (e.g. absence of universal principles; government regulations), operational (e.g. scalability issues, wasted resources) and adoption (e.g. interoperability standards) aspects (Ali et al., 2020). Financial challenges to blockchain adoption are data ownership of credit resources, point-to-point transactions, data protection, data sharing, and vulnerabilities of exchanges during transactions. Besides, there is an absence of laws that aid in regulating business transactions, especially for highly regulated industries (Trautman, 2014), security (Dasgupta et al., 2019), time expended for transaction verification
Importance of understanding the dark side of blockchain
Blockchains integrated with other emerging technologies, such as AI and IoT, will revolutionize the next generation of organizational applications (Kumar et al., 2022). BCT offers several benefits; namely, explainability, privacy, trust, and AI can further enhance scalability, security and personalization. BCT aids organizations in executing, verifying, recording and transactions, thereby improving organization processes and information handling. The ability of BCT to be a versatile programmable platform to manage real-time, non-tamper contracts with an audit trail, append-only, immutable ledger containing verified and validated transactions forms a foundation of trust for businesses (Mattila, 2016). Blockchains can be viewed from two lenses a) Information Communication Technology (ICT) lens that records platform asset ownership and the "institutional technology" lens that decentralizes governance structures for effective co-ordination among organizations (Aste et al., 2017).
Conversely, cryptocurrencies are popular among hackers who use them as a new source of ransomware attacks and bribery (Katarzyna, 2019). Blockchains are prone to transaction malleability attacks where an attacker changes the transaction ID before it is confirmed. This results in modified cryptocurrencies being transferred to the hacker's account. The anonymity of the users' transactions cannot be assured entirely. Hackers can send digital coins to their personal addresses (Conoscenti et al., 2016).
Essentially, blockchain technology creates an eternal and irreversible electronic record of all transactions involving one or more parties participating in business interactions. Blockchain technology has been discussed in the finance contexts in executing decentralized currencies and smart contracts to control intellectual assets, creating secure electronic health records (), and managing supply chain management (Wang et al., 2019). Blockchain technology is a technology whose adverse effects are not yet apparent, and adoption is yet uncertain for many organizations. In this special issue, we will discuss blockchain as an emerging technology for managing dark side effects in business transactions across organizations. On the one hand, there is research that highlights the positives of using blockchains for business transactions, yet; there is a paucity of research that addresses the dark side of blockchains in the inter-organizational context, which this Special Issue (SI) aims to address (Gligor et al., 2021). It aims to showcase remarkable and exemplary research that analyses the complex and ambivalent blockchain usage leading to unintended, unbeneficial, and adverse effects. This SI attempts to cover the following topics (not limited to these only):
- Role of organizational-level theories for mitigation of the dark sides of blockchain in organizations
- Conceptual papers on the dark side of blockchain technology
- The dark side of cryptocurrencies
- Data security in blockchains
- Ethical and moral issues related to adopting blockchain technology
- Negative social implications of the use of blockchain technology
- Interorganizational relationships of technology, governance and regulations in the context of government information systems
- Organizational readiness in implementing blockchain technology
- Blockchain innovation in banking: Automating banking services
- Illiteracy and ignorance toward blockchain technology
- Case studies that highlight the failure stories of implementing blockchain technologies in organizations
- Solutions to emerging problems with blockchain ethics
Ali, O., Ally, M., Clutterbuck, & Dwivedi, Y. (2020). The state of play of blockchain technology in the financial services sector: A systematic literature review. International Journal of Information Management, 54, 102199.
Aste, T., Tasca, P., & Matteo, T. Di. (2017). Blockchain Technologies: The Foreseeable Impact on Society and Industry. Computer, 50(9), 18–28.
Badawi, E., Jourdan, G.-V., & Onut, I.-V. (2022). The "Bitcoin Generator" Scam. Blockchain: Research and Applications, 3(3), 100084.
Chawki, M. (2022). The Dark Web and the future of illicit drug markets. Journal of Transportation Security.
Conoscenti, M., Vetrò, A., & Martin, J. C. De. (2016). Blockchain for the Internet of Things: A systematic literature review. 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 1–6.
Dasgupta, D., Shrein, J. M., & Gupta, K. D. (2019). A survey of blockchain from security perspective. Journal of Banking and Financial Technology, 3(1), 1–17.
Denter, N. M., Seeger, F., & Moehrle, M. G. (2022). How can blockchain technology support patent management? A systematic literature review. International Journal of Information Management, 102506.
Garg, P., Gupta, B., Chauhan, A. K., Sivarajah, U., Gupta, S., & Modgil, S. (2021). Measuring the perceived benefits of implementing blockchain technology in the banking sector. Technological Forecasting and Social Change, 163, 120407.
Gligor, D. M., Pillai, K. G., & Golgeci, I. (2021). Theorizing the dark side of business-to-business relationships in the era of AI, big data, and blockchain. Journal of Business Research, 133, 79–88.
Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions – insights from user-generated content on Twitter. Enterprise Information Systems, 13(6), 771–800.
Irwin, A. S. M., & Turner, A. B. (2018). Illicit Bitcoin transactions: challenges in getting to the who, what, when and where. Journal of Money Laundering Control, 21(3), 297–313.
Katarzyna, C. (2019). Cryptocurrencies: opportunities, risks and challenges for anti-corruption compliance systems. OECD Conference on Global Anti-Corruption and Integrity Forum. Paris, 20–21.
Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022). Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis. Information Systems Frontiers.
Lee, N.-Y., Yang, J., Onik, M. M. H., & Kim, C.-S. (2019). Modifiable Public Blockchains Using Truncated Hashing and Sidechains. IEEE Access, 7, 173571–173582.
Li, K., Lee, J.-Y., & Gharehgozli, A. (2021). Blockchain in food supply chains: a literature review and synthesis analysis of platforms, benefits and challenges. International Journal of Production Research, 1–20.
Liang, T.-P., Kohli, R., Huang, H.-C., & Li, Z.-L. (2021). What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective. Journal of Management Information Systems, 38(2), 314–337.
Mattila, J. (2016). The blockchain phenomenon. Berkeley Roundtable of the International Economy, 16.
Miraz, M. H., Hassan, M. G., & Mohd Sharif, K. I. (2020). Factors affecting implementation of blockchain in retail market in Malaysia. International Journal of Supply Chain Management (IJSCM), 9(1), 385–391.
Nandi, M. L., Nandi, S., Moya, H., & Kaynak, H. (2020). Blockchain technology-enabled supply chain systems and supply chain performance: a resource-based view. Supply Chain Management: An International Journal.
Peres, R., Schreier, M., Schweidel, D. A., & Sorescu, A. (2022). Blockchain meets marketing: Opportunities, threats, and avenues for future research. International Journal of Research in Marketing.
Raj Kumar Reddy, K., Gunasekaran, A., Kalpana, P., Raja Sreedharan, V., & Arvind Kumar, S. (2021). Developing a blockchain framework for the automotive supply chain: A systematic review. Computers & Industrial Engineering, 157, 107334.
Rana, N. P., Chatterjee, S., Dwivedi, Y. K., & Akter, S. (2022). Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm's operational inefficiency and competitiveness. European Journal of Information Systems, 31(3), 364–387.
Sangal, S., Nigam, A., & Bhutani, C. (2022). Conceptualizing the role of blockchain in omnichannel healthcare: a Delphi study. Aslib Journal of Information Management, 74(5), 782–800.
Steiu, M.-F. (2020).
Blockchain in education: Opportunities, applications, and challenges. First Monday, 25(9 SE-).
Sun Yin, H. H., Langenheldt, K., Harlev, M., Mukkamala, R. R., & Vatrapu, R. (2019). Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain. Journal of Management Information Systems, 36(1), 37–73.
Syed, T. A., Alzahrani, A., Jan, S., Siddiqui, M. S., Nadeem, A., & Alghamdi, T. (2019). A Comparative Analysis of Blockchain Architecture and its Applications: Problems and Recommendations. IEEE Access, 7, 176838–176869.
Tarafdar, M., Gupta, A., & Turel, O. (2013). The dark side of information technology use. Information Systems Journal, 23(3), 269–275.
Trautman, L. J. (2014). Virtual currencies; bitcoin & what now after liberty reserve, silk road, and Mt. Gox? Richmond Journal of Law and Technology, 20(4).
Turner, A., McCombie, S., & Uhlmann, A. J. (5555). Ransomware-Bitcoin Threat Intelligence Sharing Using Structured Threat Information Expression. IEEE Security & Privacy, 01, 2–12. https://doi.org/10.1109/MSEC.2022.3166282
Underwood, S. (2016). Blockchain beyond Bitcoin. Commun. ACM, 59(11), 15–17.
van Wegberg, R., Oerlemans, J.-J., & van Deventer, O. (2018). Bitcoin money laundering: mixed results? Journal of Financial Crime, 25(2), 419–435. https://doi.org/10.1108/JFC-11-2016-0067
Wang, Y., Han, J. H., & Beynon-Davies, P. (2019). Understanding blockchain technology for future supply chains: a systematic literature review and research agenda. Supply Chain Management: An International Journal, 24(1), 62–84. https://doi.org/10.1108/SCM-03-2018-0148
Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2022). Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications, 34(14), 11475–11490.
Yu, Z., Song, L., Jiang, L., & Khold Sharafi, O. (2022). Systematic literature review on the security challenges of blockchain in IoT-based smart cities. Kybernetes, 51(1), 323–347. https://doi.org/10.1108/K-07-2020-0449
Yuan, Y., & Wang, F.-Y. (2018). Blockchain and Cryptocurrencies: Model, Techniques, and Applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1421–1428. https://doi.org/10.1109/TSMC.2018.2854904