1. Introduction
Supply chain management is widely regarded as a critical tool for cost control and economic performance improvement in today’s competitive business environment. However, given emerging issues such as increasing supply chains’ complexity, transparency, and flexibility requirements, task-wise challenges and supply management practices must be modernized if companies and industrial sectors intend to stay competitive [
1,
2]. Changes in demands and product portfolios cause difficulties in synchronizing the companies’ supply and demand plans that make up the supply chain, because they spread to very different geographies [
3]. It is essential to prevent any damage to the product that may occur during the transportation of sensitive products from one company to another until they reach the end-users. In traditional supply chain management, tampering of products during transport, delay and fraud, identity verification, lack of data management, and lack of accuracy and integrity of data are common problems [
4]. Many large contemporary companies have established their identity systems to protect and maintain the global dominance of their operations and retain the authority to instruct their suppliers. Otherwise, they must rely on and adhere to major regulatory firms or intermediaries [
1].
Companies have been using information technologies for the optimization of supply chain processes for many years. At first, EDI was used to improve efficiency in communication infrastructure between companies. With EDI integration, companies aimed to achieve benefits such as faster and more efficient data flow [
5], shortening order completion times, increasing distribution flexibility, and improving customer service quality [
6]. Over time, technologies such as RFID [
7] and the internet of things [
8] began to be used for needs such as supply chain agility and visibility. Although many digital technology instruments are used to make supply chain processes more efficient today, issues about transparency, flexibility, and trust are still not fully solved. Low transparency in supply chains causes many problems and difficulties in security, traceability, identity documentation, and verification [
1]. The relevant literature indicates that establishing a trust-based environment in supply chains remains a significant challenge, and that trust is required for the implementation of effective supply chains [
9]. Additionally, demand forecasting becomes more difficult as product life cycles shorten and production lead times lengthen. Supply chains are at risk of overcapacity in this situation due to low demand realization of a lack of product availability. As a result, it is critical to developing flexible supply chains capable of responding quickly to market reactions [
1]. Blockchain can solve the issues mentioned above because of its strong characteristics, such as decentralization, transparency, and trust [
4]. As an accurate supply chain traceability system, the potential of blockchain to increase the transparency and auditability of material flow will also spread its adoption by supply chains [
9]. Using blockchain will help improve supply chain security, traceability, and efficiency. Additionally, blockchain technology can increase collaboration between network members with possible benefits that include decreased costs and increased efficiency. Blockchain technology can also increase customers’ trust because it provides traceability of products at all supply chain stages. Furthermore, blockchain technology supports fraud prevention, positively affecting cost reduction and efficiency [
10].
Blockchain is a viable method of tracking assets while guaranteeing security and data integrity. The benefits of blockchain-based tracing include the security of information sharing, real-time collection of product data, transparency, and visibility in the supply chain, as well as quality control throughout the entire lifecycle [
11]. Many research papers have examined the technology’s potential applications in manual or process-intensive roles, such as freight delivery, bill management, and inventory management [
12]. It has been emphasized as one of the advantages of blockchain technology to reduce costs by optimizing information flows due to increasing supply chain traceability. Blockchain technology provides these advantages by increasing the level of information sharing and the security of shared information. Moreover, blockchain technology can create more secure supply chains by supporting the weaknesses of other industry 4.0 components (cyber-physical systems, internet of things, etc.) [
13].
Due to the reasons listed above, it is inevitable for all companies to follow technology closely and ensure its integration into business processes. Therefore, a new requirement to achieve sustainable competitive advantage and adapt to changing market conditions is to consider the use of digital technologies in supply chain processes in terms of a dynamic market environment.
Companies in Turkey are not an exception in this case. It is vital for Turkish companies that want to gain a strong position in the growing Turkish industrial economy and the international market to adopt a data and information technology-based approach. Technological development provides great advantages to businesses, however it also brings serious risks.
However, the present literature examining blockchain for Turkish companies still has some shortcomings. For example, the available studies are mostly at the theoretical level and empirical studies are quite insufficient. To the best of our knowledge, there is no study, conducted on Turkish firms, which has examined the impact of blockchain technology on supply chain transparency, supply chain flexibility, and trust in suppliers in the relevant literature. The vast majority of this information is missing; therefore, we suggest that the following research questions should be investigated:
RQ 1: What kind of relationships exist between blockchain technology and the supply chain dynamics?
RQ 2: Can blockchain technology improve the performance of supply chains by contributing to the creation of more flexible, more transparent, and more reliable supply chains?
RQ 3: What are the possible implications of blockchain technology on supply chain collaboration and supply chain integration? To address these questions, we conceptualize a structural equation model that aims to measure influences of blockchain technology on some critical supply chain dynamics to understand Turkish firms’ current situation. These dynamics are trust, transparency, and flexibility. This research will give us a clearer understanding of the effects of blockchain technology on the abovementioned supply chain dynamics.
This paper’s content is organized as follows.
Section 2 of the study summarizes the pertinent literature on blockchain technology, its relationships to research variables, and the formulation of study hypotheses.
Section 3 discusses the sample selection process, the questionnaire, the data collection stages, and the analysis methods used in the study.
Section 4 presents the analysis findings with tables and figures.
Section 5 discusses the findings, considering the pertinent literature. Finally,
Section 6 summarizes the study’s implications and limitations and makes some recommendations for future research.
4. Results
The analysis of the study started with testing the validity and reliability of the measurement instrument. By creating a measurement model to test the questionnaire’s validity and reliability in the Smart-PLS program, internal consistency reliability, convergence validity, and dissociation validity coefficients were examined. In determining the internal consistency reliability, composite reliability (CR) coefficients were calculated. In investigating the convergent validity, average variance extracted (AVE) values explained with factor loads were used. It was expected that the factor loads were ≥0.70, the combined reliability coefficients were ≥0.70, and the explained average variance value was ≥0.50 [
66]. Cronbach’s α coefficient was used to evaluate the reliability of the scales separately. A coefficient value of ≥0.70 indicates that the scales are at an acceptable level of reliability.
Table 2 shows the validity and reliability results of the measurement model.
Hair et al. [
66] states that factor loads should be ≥0.708. The authors also suggest that expressions with factor loads between 0.40 and 0.70 should be excluded from the model in case of an increase in AVE or CR values. For this reason, the third and the seventh items of the blockchain technology utilization (BTU3), (BTU7), the first item of the supply chain transparency (SCT1), and the second item (TIS2) of the trust in supplier were excluded from the analysis. The calculated AVE and CR values were above the threshold values; therefore, the third item of the supply chain transparency (SCT3) and the fifth item of the trust in supplier (TIS5) were not removed from the scale, with factor loads below 0.708. As a result, α coefficients were obtained between 0.860 and 0.964, the CR values between 0.867 and 0.962, and the AVE values between 0.622 and 0.834. These findings show that the scales meet the conditions for convergence validity.
Fornell and Larcker criteria and heterotrait–monotrait ratios (HTMT criteria) were examined to verify the scale’s discriminant validity. Findings regarding the Fornell and Larcker criteria are provided in
Table 3.
According to Fornell and Larcker [
67], the AVE values’ square root should be higher than the correlations between the structures included in the study. When
Table 3 is examined, it is seen that the square root of the AVE values of each latent variable is greater than the correlation coefficients of the variables, which means that the model meets the Fornell-Larcker criterion for discriminant validity.
Findings regarding the HTMT criteria are given in
Table 4.
The HTMT criterion proposed by Henseler, Ringle, and Sarstedt [
68] expresses the ratio of the average correlations of the expressions of all variables in the study to the geometric means of the correlations of the expressions of the same variable. The authors stated that if the structures to be measured are theoretically close to each other, the HTMT coefficient should be below 0.90. If they are theoretically distant from each other, it should be below 0.85. When
Table 4 is examined, it can be observed that HTMT coefficients were realized below the threshold values.
Before analyzing the structural equation model, correlation analysis was conducted to assess the direction and severity of the relationship between variables. Analysis results are given in
Table 5.
Correlation analysis results showed that there was a significant relationship between the variables in the same direction at the level of 0.01 significance. Additionally, skewness and kurtosis values were found to be between −2 and +2. This finding shows that the scales had a normal distribution.
The structural equation model is given in
Figure 2.
Some other values that are important in evaluating the model need to be checked. The model’s explanatory power (R
2), estimation fit (Q
2), and F
2 value indicate the effect size. Research model coefficients are given in
Table 6.
When the R
2 values are examined, it can be seen that 17.8% of the use of blockchain technology is explained by supply chain flexibility, 24% by supply chain transparency, and 19.4% by the trust in supplier. The model’s prediction power for the endogenous variables could be explained in the structural model, calculated by blindfolding analysis. As a result of the analysis, the predictive power coefficient (Q
2) was more significant than zero, indicating that the model could predict endogenous variables [
66]. For F
2 values, 0.02 is considered weak, 0.05 medium, and above 0.7 high [
69]. In the research model, F
2 values were determined at a medium level. According to Hair et al. [
66], the VIF (variance inflation factor) coefficients should be below the threshold value of five to avoid collinearity problems among the variables. VIF coefficients were below five; therefore, it could be confirmed that there was no collinearity problem between variables.
The impact coefficients of the research model are given in
Table 7.
As a result of the analysis, it was found that blockchain technology utilization significantly affects supply chain flexibility and transparency. It has also been found that the use of blockchain technology positively affects the trust of suppliers. The fact that T values were obtained above 1.96 and that the confidence interval’s lower and upper values did not include zero values support the significant effect. As a result of the analysis, the H1, H2, and H3 hypotheses were supported.
5. Discussion: Blockchain Technology and Supply Chain Integration in Terms of Supply Chain Dynamics
In all their operations, companies first try to plan how they can cope with uncertainty and risks. Moreover, they are aware of the new opportunities they can seize, thanks to their information. Businesses that can plan their operating cycles with maximum consistency in the market anticipate the negativities they may encounter and take a proactive approach to gain a sustainable competitive advantage and continue their existence in this way. Therefore, it is an indisputable fact that information is vital to a business. At this point, blockchain technology is seen as an opportunity to process data and information, which are some of the most important assets of companies, more effectively, and to store them in a more robust security system with reduced costs. The fact that interconnectedness has increased considerably thanks to digital technologies can improve cooperation and integration in supply chains. It is also a separate issue to protect this commitment against malicious initiatives.
In this context, the idea that blockchain technology can benefit companies motivated us to do this research. In this study, we wanted to investigate how transparency, flexibility, and trust, which are among the main requirements of conducting a more efficient supply chain process, will be affected by new information technologies. We think that these dynamics will increase the level of cooperation and integration in supply chains. The more supply chain stakeholders can trust each other, the more information they can share, the more information they share, a more transparent supply chain can be formed, and better integration can be achieved. The level of cooperation can increase, and thus the flexibility of the supply chain can increase.
The first finding of the research was that blockchain technology would increase supply chain transparency. This finding coincides with the findings in the literature [
15,
33,
34,
35]. Transparency is one of the most critical problems in supply chains in effective and robust cooperation and integration. It is stated in the literature that transparency enables proactive communication and collaboration in supply chains [
26], providing visibility of product flow to customers [
27]. Thus, stakeholder feedback is included in the chain more effectively [
28]. Increasing stakeholders’ role in the processes can help companies carry out more effective open-innovation activities [
70]. Concurrently, transparency can contribute to improving companies’ customer-involved product design processes. Enhancing product design processes enables companies to gain a sustainable competitive advantage [
71]. Therefore, companies should take advantage of blockchain technology to increase transparency in their supply chains.
Secondly, we found that blockchain technology increases supply chain flexibility. More flexible supply chains can better meet customer demands [
41] and better tackle the volatile and uncertain environments [
43]. Real-time data sharing will be enabled in supply chains using blockchain technology [
19]. The business environment is more complicated than ever; therefore, blockchains are being used to rapidly integrate all of the supply chain processes. Decision processes such as demand forecasting, inventory management [
35], and determination of key performance indicators [
72] can be made more efficient and have a positive impact on a company’s sustainability.
The third finding of the research showed us that blockchain technology is a useful tool to build trust in supply chains. Inter-firm trust is crucial for the success of supply chains [
15] because effective collaboration which improves sustainability performance requires a high level of information sharing [
73] and trust in each other [
52]. Especially in cases of outsourcing, such as 3 PL, companies have to earn trust based on trust. This finding of our study confirms similar results in the literature [
15,
33,
34,
58,
59,
60]. Firms have to build trust to increase collaboration and integration. Therefore, companies can benefit from blockchain technology in both establishing and maintaining trust.
6. Conclusions
Blockchain technology is perhaps one of the concepts which are most prevailing today. With digitalization becoming an ordinary (even necessary) phenomenon, we have started to digitize our assets. We call digitalization the transformation of facts into ones and zeros (data) that can be stored, transferred, analyzed in a computer environment. We have started to explore ways to protect all the assets that we can digitize (convert into data) with this technology. Therefore, blockchain technology was first developed to ensure digital asset security (i.e., cryptocurrency).
In this study, the effect of blockchain technology utilization on supply chain flexibility, transparency, and trust has been investigated. Blockchain technology is approached with suspicion because it is very new and not known by companies. Therefore, companies can see their investments in this technology as huge risks. In this research, we tried to reveal some of the benefits that the technology in question can provide to companies. For this purpose, we determined transparency, flexibility, and trust, which are important issues for supply chains, as dependent variables of the research.
As a result of our analysis, we found that blockchain technology utilization significantly affects transparency, flexibility, and trust in supply chains. The relevant literature emphasizes that companies can increase customer satisfaction, and consequently customer loyalty, by providing more transparent supply chain processes. Moreover, supply chain transparency can improve the level of supply chain cooperation by increasing trust between companies. Additionally, supply chain flexibility can be an essential tool for companies to gain a sustainable competitive advantage. According to the research results, blockchain is an important and valuable technology in terms of all three variables. We believe that this research will help companies alleviate their doubts about blockchain technology.
In the literature review, conducted at the beginning of this study, we could not find a study examining blockchain technology in the context of the abovementioned supply chain dynamics. In this respect, we believe that the research model established in our research is original, and we hope that this study will be an essential contribution to the existing literature. We also believe that the findings of the study will benefit all manufacturing companies.
We can state the following about the study’s limitations and further research: This study’s first limitation is that sample frame and size. We collected data from the companies listed in the first 1000 exporting firms declared in 2019 by the Turkey Exporters Assembly. In the research, we only collected data from companies using blockchain technology to ensure irrelevancy. Therefore, we could not increase the sample size more. When this technology becomes more widespread in the future, studies with larger samples should be carried out. Moreover, carrying out similar studies on companies with headquarters in other countries may contribute to better understanding the issue and performing comparisons between countries.
Furthermore, we acknowledge the high variability in responses among companies in the study. Thirdly, this research focused on manufacturing companies. For future research, it is proposed to conduct studies that focus on all types of companies. It is recommended to test the current research model, especially in the maritime transport sector, where blockchain technology is important. Additionally, in this study, the PLS-SEM method was used to analyze the data. The reason for using this method was that the number of samples could not provide the required sufficiency in other SEM methods. However, in other studies, the re-examination of the same variables with data mining methods, such as clustering techniques and support vector machines, will contribute further to the literature (for methodological information, see Alkahtani et al. [
74]). Finally, in this study, there is an indirect reference to cooperation and integration in supply chains. In future research, it is recommended to examine the variables of cooperation and integration that were not included in the model of this research by directly incorporating them into research models. It is also considered that examining the regulatory effect of advanced technology usage policies is very important in terms of the relevant literature.