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In today’s business environment, with organizations enhancing performance, maintaining a competitive edge, and fostering innovation, the efficient transfer of knowledge plays an increasingly pivotal role. As industries recognize the importance of and strive for more and more productive knowledge transfer, understanding the factors affecting this process becomes imperative. Manufacturing is considered a strategic sector, and well-performing knowledge transfer is necessary for higher innovation and competitiveness. To increase knowledge transfer performance, companies must have the awareness, ability, and opportunity to identify the main aspects that need operational improvement. Studies based on systematic literature review and mapping impact factors have shown that knowledge transfer is hypothetically affected by a vast variety of factors, which creates challenges for companies in selecting and applying these factors. Therefore, the two research questions of this study are – RQ1: What are the relationships between the knowledge transfer-influencing factors identified in the literature analysis and the dependent variables? RQ2: What is the weight of the statistically significant factors identified in the empirical study?

Supplier selection has emerged as an important activity regarding strategic purchasing with implications for the operational efficiency of both organisations and supply chains. Given the need to evaluate both qualitative and quantitative criteria for different supply alternatives, the decision-making process became more complex.

There is limited research assessing how AI knowledge affects employment prospects. The present study defines the term 'AI capital' as a vector of knowledge, skills, and capabilities related to AI technologies, which could boost individuals' productivity, employment, and earnings. Subsequently, the study reports the outcomes of a genuine correspondence test in England. It was found that university graduates with AI capital, obtained through an AI business module, experienced more invitations for job interviews than graduates without AI capital. Moreover, graduates with AI capital were invited to interviews for jobs that offered higher wages than those without AI capital. Furthermore, it was found that large firms exhibited a preference for job applicants with AI capital, resulting in increased interview invitations and opportunities for higher-paying positions. The outcomes hold for both men and women. The study concludes that AI capital might be rewarded in terms of employment prospects, especially in large firms. [ABSTRACT FROM AUTHOR]

From the perspective of a heterogeneous firm framework, we investigate the direct and spillover effects of public research and development (R&D) subsidies, firm heterogeneity, and external factors on innovation. Our analysis is based on panel data from manufacturing firms in Korea. We find three apparent roles of public R&D subsidy in enhancing firm-level innovation. First, public R&D subsidy has a direct positive impact on innovation in both the short and long run. Second, it does not have a stand-alone spillover effect on innovation. Third, public R&D subsidies have a positive spillover effect on innovation when combined with organizational slack in the short and long run and with leverage and firm size in the short run. Moreover, our analysis reveals that the impact of public subsidies, firm heterogeneity, external factors, and their interaction with innovation is primarily observed in firms with high absorptive capacity, not in those with low absorptive capacity. Based on these findings, the study recommends that when a government formulates its R&D policies, in order to enhance the efficiency and effectiveness of public R&D subsidies, it is necessary to prioritize understanding the various conditions and circumstances associated with the public R&D-productivity nexus. It is especially crucial to keep in mind that when firm heterogeneity—as a source of absorptive capacity and organizational learning—and the similarity of technology-based innovations are properly considered, public R&D subsidies can be efficient and effective policy tools for increasing direct benefits and inter-firm spillovers.

The existing literature on SME internationalization has inadequately integrated joint innovation capabilities, organizational unlearning, and the internationalization process. Previous studies have primarily examined these concepts separately, obscuring their interconnection and reciprocal impact. This study fills in a gap in the literature and responds to calls for more studies (e.g., Du, Zhu & Li, 2023; Genc, Dayan & Genc, 2019) by developing and testing a moderated mediation model to examine how joint innovation capabilities affect exploratory innovation through the mediating role of organizational unlearning. The research also examines the moderating effect of the degree of internationalization on this relationship. A cross-sectional survey was conducted with 300 logistics and general managers from SMEs in the United Arab Emirates (UAE), utilizing partial least squares structural equation modeling (PLS-SEM) to evaluate the measurement models' validity and reliability, and to test the hypothesized relationships. The results demonstrate that organizational unlearning is a key mechanism linking collaborative innovation capabilities with exploratory innovation. Additionally, the degree of internationalization significantly moderates this relationship, with a stronger mediation effect when internationalization is low. These findings provide practical implications for SMEs and managers, especially in overseeing innovation and unlearning processes while accounting for the degree of internationalization in their growth strategies. Managers in SMEs must recognize the complexities introduced by internationalization, such as diverse cultural norms and regulatory frameworks, which can impede the process of unlearning. To address these challenges, SMEs should consider adopting region-specific innovation strategies or investing in cross-cultural training to effectively manage the integration of diverse knowledge sources.

This study examines the impact of green economic growth and renewable energy on food security in Sub-Saharan Africa (SSA). The rationale for the study comes from the background that with a fast rate of growing population, there is a high pressure on natural resources, which often leads to resource depletion, being experienced across the globe. This study utilises panel data analysis consisting of 37 SSA countries that are members of the Official Development Assistance (ODA). Data was obtained from the Food and Agriculture Organisation (FAO) and World Development Indicators (WDI) for the period 2005–2022. To control for endogeneity, the study applies the system Generalised Method of Moments (GMM). The result shows that renewable energy and green economic growth have a positive significant impact on food security, though this impact is asymmetric across SSA sub-regions. On the other hand, industrialisation through its emissions, contributes negatively to food security. The implication is that SSA countries should focus on policies aimed at improving green economic growth and renewable energy consumption; while policies aimed at reducing the inefficient adoption of renewable electricity and discouraging industrialisation aimed at suppressing agricultural practices should be adopted.

This article aims to show the areas in which technological changes will take place to bring about energy security, and the prerequisites and costs. It has been assumed that technological progress will contribute to the development of energy markets and increase the level of energy security. Changes in energy markets are a necessity. Energy is a source of economic competitiveness. The ability to produce cheap energy and in quantities adequate to needs is a social and economic development factor. The opportunities for change will be the need for new energy sources, instability in the energy markets, as well as technological progress. New technological solutions allow for better energy demand and supply management and preparing forecasts for increases/decreases in the energy demand. The threats are high costs of introducing new technologies and the necessity of implementing many investments at the same time, which require changes in entire systems. Investments require a long period of time and anticipation of trends.

A key challenge facing developing countries is how to promote export performance through trade liberalization (TL). Using large and highly disaggregate firm-level data with 6-digit HS categories for 1995–2019, we investigate the issue for China based on the recent literature of export margins (XM). Export growth is decomposed into extensive and intensive margins (EM and IM), and IM further into price and quantity margins (PM and QM). We develop three empirical hypotheses based on a theoretical model that includes external economies of scale (EES) and industrial agglomeration (IA) as well as TL-XM links. Then we take China's entry to World Trade Organization (WTO) in 2001 as a quasi-natural experiment in difference-in-difference (DID) regressions. The estimate results suggest that TL increases both EM and IM (and QM) but reduces PM after China's entry to TWO in 2001. The finding is robust to various specifications of the empirical model and measurements of the variables. The further estimations show significantly positive effects of EES, IA, and their interactive terms with TL on EM, IM, and QM. The positive effects are larger for medium-tech industries than low-tech and high-tech industries.

Research on sustainable manufacturing is currently gaining momentum and becoming a dynamically developing field that considers green innovations (GI). However, rapid dynamics cause the entire field to fragment into smaller topics with different research interests, impacts, and development dynamics over time. This study aims to create a comprehensive scientific map of GI in manufacturing by systematically processing 9376 documents retrieved from the Scopus database. The results show that this research domain gained significant momentum in 2019, with most studies published in the engineering and business subject area. Latent Dirichlet Allocation was used to identify 94 unique topics from all abstracts. We classified the topics into five territories regarding their level of systematization: uncharted (26 topics), discovering (23), expanding (15), well-recognized (19), and marginal (11). The least uncharted topics in the field of GI in manufacturing that have potential for systematization are Resource-based Performance Modeling, Sustainability-oriented Performance, and Supplier Decision Criteria and Fuzzy Logic. The most significant topics related to GI in manufacturing currently include Smart Technologies and Industry 4.0, Green Supply Chain, Carbon Emission Reduction, and Digital Transformation, with the last two having the most dynamic development. The results offer objective information for a wider scientific discussion regarding the direction of research in green manufacturing concept and point to uncharted areas that may represent future directions for the development of this concept.

The debate for oil-rich economies to plough their oil windfalls into real economic activities to spur diversification has become intense due to the deficit fiscal crisis and poor socio-economic profile of resource-abundant nations. Therefore, we use secondary data from the period between 1981 and 2020 to assess the impact of crude oil revenue on the oil and non-oil sector output performance in Nigeria. The study adopts the ARDL (i.e. autoregressive distributed lag) and the augmented Granger causality techniques to analyse the data. The ARDL regressions show that crude oil positively impacts oil sector performance, but the impact is only substantial in the short run. Crude oil revenue exerts a positive and insignificant effect on the short-run non-oil sector output, whereas, over the long run, it has a negative but significant effect. To propel growth, the study recommends using the excess crude oil earnings to develop non-oil sectors such as agriculture, services, and manufacturing.

In the era of advancing digital transformation, the impact of the digital divide on residents’ financial behavior has garnered considerable attention, yet there exists a gap in understanding its implications for financial advisors. Employing the analytical framework of “access gap-usage gap-utility gap” and utilizing a Probit model with sample selectivity, this paper systematically explores the impacts, heterogeneity, and mechanisms of the three levels of the digital divide on the demand for and engagement with financial advisors among residents in six eastern provinces of China in 2022. Key findings are as follows: (1) The impact of the access gap isn't significantly, whereas the effects of the usage gap and utility gap are significantly negative. This implies that residents’ internet usage itself does not affect the likelihood of seeking and engaging financial advisors, but lower frequency and perceived importance of internet usage decrease the likelihood of seeking and engaging financial advisors. (2) Heterogeneity analysis reveals that the inhibitory effects of the usage gap and utility gap are more pronounced in rural households, those with debt, and householders lacking financial education. (3) Mechanism studies uncover that both the usage gap and utility gap diminish residents’ demand for and engagement with financial advisors by weakening social networks and reducing information attention. This study contributes to a deeper understanding of the profound impact of digital transformation on financial markets, offering policy suggestions and practical guidance to enhance financial services.

We analyze the link between agricultural productivity growth and fertility rates, using the oil palm boom in Indonesia as an empirical setting. We find consistent negative effects of oil palm expansion on fertility during the period 1996–2016. This finding appears to be linked to rising farm profits that led to consumption growth, an expansion of the nonagricultural sector, increasing wage returns to education, and higher school enrollment. Together, these findings suggest that agricultural productivity growth can play an important role in accelerating the fertility transition, as long as the economic benefits are large enough to translate into local economic development. [ABSTRACT FROM AUTHOR]

The international competitiveness of agri-food products is crucial for the economic growth of exporting countries, which is also closely related to critical aspects of sustainable development. This research aims to comprehensively understand the factors of international competitiveness in two contrasting cases: Spain as the world's leading exporter and Chile as an emerging exporter of olive oil. This study takes a novel approach by including the governance of sustainable practices as part of the framework for analyzing international competitiveness. A mixed research method was used: firstly, quantitative indicators were estimated to compare the levels of international competitiveness of both countries; secondly, a qualitative analysis was carried out to analyze in depth the determinants of international competitiveness based on Porter's Diamond Model. The results show that Spain has solidified its position as the world's leading olive oil exporter. On the other hand, Chile still has a small market share; however, it already achieved its revealed comparative advantage in 2015. The potential causes of this performance were determined by the comparative study of the determinants of the competitiveness of Porter's diamond model; "Factor conditions", "Demand conditions", "Firm strategy, structure, and rivalry", "Related and supporting industries", "Government" and "Chance". In addition, both countries show the adoption of sustainable practices in their exports driven by subsidy policies, informal conventions, and consumer preferences. Finally, some relevant implications for management and public policy are highlighted. [ABSTRACT FROM AUTHOR]

Purpose: In the light of high reliance on digital technology to mitigate the consequences of the coronavirus disease 2019 (COVID-19) pandemic and its containment measures, this study investigates the factors influencing firms' decision to adopt digital technologies during COVID-19 in four Middle East and Northern African (MENA) countries, namely, Egypt, Jordan, Morocco and Tunisia. Design/methodology/approach: The study used the International Labour Organization (ILO)/Economic Research Forum (ERF) COVID-19 - MENA Monitor Enterprise Survey (CMMENT), comprising 5,480 firms, surveyed during 2020–2021. The empirical model is estimated using the linear probability model (LPM) to address the problem of unobserved heterogeneity between firms, countries, and time. Findings: The results revealed that firm characteristics, such as firm size and foreign ownership, encourage digital transformation in the business sector. Moreover, firms that face challenges during the pandemic, comply with the containment measures, and receive government assistance are more likely to adopt digital solutions. Furthermore, the results indicated that firms operating in services sector have a higher likelihood to adopt digital technology. Disaggregating the total sample into several sub-samples, the results are robust across countries and technology types, supporting the initial hypothesis that COVID-19 encourages digital transformation in the MENA region. Originality/value: The study has numerous contributions. First, to the best of the authors' knowledge, this is the sole study that uses micro data collected during the COVID-19 to examine the factors influencing firms' decision to adopt and invest in digital solutions in the MENA countries. Second, the paper employs the LPM estimator to address the issue of unobserved heterogeneity between firms, countries and time. Finally, the paper offers some practical recommendations for accelerating digital transformation in MENA region. [ABSTRACT FROM AUTHOR]

This study examines the role of digital business incubators, focusing specifically on the Qatar Digital Incubation Center (DIC), in fostering digital entrepreneurship. The methodology used is qualitative, employing content analysis to interpret textual and visual data from sources such as online databases, documents, reports, and academic research papers. International benchmark reports are used to assess Qatar's global ranking in research, development, innovation, and digital entrepreneurship. The findings highlight Qatar's commitment to digital transformation and its efforts to create a supportive ecosystem for entrepreneurship. They underscore Qatar's dedication to driving innovation through investments in telecommunications, information technology, education, and initiatives like the Qatar National Research Fund. Qatar's digital competitiveness is evident through its ICT infrastructure, extensive 5G implementation, and initiatives like the Smart Qatar Program. The DIC plays a pivotal role in supporting digital entrepreneurs by providing resources, mentorship, and a collaborative environment. By collaborating with government agencies, academic institutions, and industry partners, the DIC contributes to the growth and success of digital startups, fostering innovation, and positioning Qatar as a hub for digital entrepreneurship and technological innovation. This study provides valuable insights into the development of Qatar's digital entrepreneurship ecosystem and the significance of digital business incubators, including the DIC.

Research purpose. Through Industry 4.0, also referred to as the fourth industrial revolution, new technologies or traditional production resources have been transformed into intelligent objects enhanced by the possibility of identification, scanning, and networking. In recent years, the concept of Industry 5.0 has already started to be discussed. However, is Industry 4.0 an uninteresting or sufficiently researched topic for scientists? The main aim of the scientific article is to perform a bibliometric analysis of the Industry 4.0 issue. The aim was supported by six research questions that reflect the publication trend in the years 2012–2022, the most publishing countries, the most used keywords, the Web of Science category, and authors and publishers.

Improving economic resilience has become a regional development goal of policymakers. This study aims to investigate the effects of digital transformation on urban economic resilience and its underlying mechanisms. Based on a sample of 287 prefecture-level cities in China, We find that digital transformation helps improve urban economic resilience, which is robust to different estimations, e.g., 2SLS and staggered DID. Additionally, further analysis indicates that improving the efficiency and stimulating the level of innovation that is associated with digital transformation are likely to be the main mechanisms behind this effect. Our results reveal the following several policy implications. Firstly, formulating policies to develop digital technology and to promote its application is of great significance for achieving a sustainable and resilient economic growth in an increasingly uncertain environment. Secondly, the government should focus on promoting market-oriented reform, reducing government intervention, protecting intellectual property rights, and creating an innovative environment to maximize the effect of digital technology. Thirdly, during the normal periods, accelerating the digitalization process will promote the balanced development among urbans.

The objective of this study is to examine the relationship among different sources of renewable energy, role of technology, environment protection and economic growth. This study uses panel annual data set of selected BRICS countries from 1997 to 2019. This study uses the Augmented Mean Group (AMG) estimator, a second-generation estimator that takes slope homogeneity and cross-sectional dependence into consideration. For robustness, the Pooled Mean Group (PMG) estimator has also been utilized. The findings show that the use of renewable energy will rise as income inequality declines. The results of the analysis demonstrate a one-way causal association between income inequality and REC. This finding confirms that a reduction in income inequality will have a major impact on the adoption of renewable energy sources.

This paper assessed the impact of foreign direct investment (FDI) on the stages of human development (HD) using panel data from 87 developing, 13 transition and 34 developed countries from 1990 to 2019. Foreign direct investment positively influenced human development in developing countries. However, the effect was neutral for transition and developed countries. Regarding the effect of FDI on the stages of HD, except for low human development in developing countries, all the computed effects were positive. Failure to delineate the effects of FDI on HDI into stages of HD would result in inaccurate results leading to inappropriate policy responses. Generally, FDI can be promoted in countries within the stages of human development. Whilst similar policies may be relevant, the extent of the outcomes would differ.

The development of financial technology and the ubiquity of the Internet are causing changes in consumer behavior, increasing competition in the financial services sector, and encouraging banks to actively implement digital technologies in their activities. Various initiatives and implemented innovations have attracted the attention of researchers in this industry. Previously, the main focus of researchers has been on technological development, but is now shifting to user-centered research. As practice shows, potential users may not use innovations despite their availability. This points to the need for additional research. The study was designed based on the Technology Adoption Model (TAM), and the model empirically examines changes in traditional banking services using a sample of 93 customers. The questionnaire included three parts. In the first part, respondents were asked what motivations for using online banking and traditional bank services are the most important for customer retention in the context of emerging technology. The second part asked about attitudes towards changes in bank services. The third part was demographic questions about the participants. According to the results, perceived usefulness, perceived ease, and attitudes toward use are determinants in the use of online banking services; the main motivators are getting banking services easier and faster, more control over financial banking activity, and a better customer experience. The implications of the results are discussed and suggestions for the future are made.

Offshore wind farms (OWF) are now in operation and increasingly under construction as scalable, sustainable energy sources. In fact OWFs are currently the cheapest form of new energy projects in Europe. The levelized cost of energy (LCOE) for OWF has fallen drastically due to decades of innovation facilitated by both taxpayer and private sector funding. This emerging industry is experiencing massive worldwide growth with the potential to accelerate the decarbonization of regional and the global economy as well as bring a reliable source of green hydrogen into commercial use, all with minimal disruption to ecosystems and impacts on biodiversity. This paper provides a historical perspective of wind energy harnessing and shows that wind turbines are the oldest, largest and one of the smartest machines. We also highlight the potential of offshore wind energy to provide new solutions to (a) meet clean energy demand for a growing world population, (b) improve energy security of nations through other downstream technologies such as production and storage of dispatchable fuel (such as green hydrogen battery storage) and (c) through supply complementarity improve resilience of nuclear power plants in high-seismic-activity areas. Offshore wind industry can also become a gold standard for future industries, and the paper provides insights into the new green economics and jobs and factories for the future. We show that environment-friendly regulation is driving innovations even further to enhance sustainability of OWF. Examples include material recycling, landfill ban on blade disposal and ecofriendly low-noise offshore construction to protect biodiversity. [ABSTRACT FROM AUTHOR]

Several studies have investigated the effect of oil price shocks on business cycles, production, prices, and labour market. The focus of this paper is primarily on the relationship between oil price changes and industrial production in G7 countries. To investigate the heterogeneity of impact, this paper investigates the effects of oil price changes based on the threshold role of net oil exports-to-GDP ratio. A panel smooth transition regression model is employed for analysis over two consecutive periods, namely, 1980–1999 and 2000–2017 as well as the combined period of 1980–2017. The results indicate that oil price hikes have a positive (negative) impact on oil-exporting (oil-importing) countries. The impact appears to be different across time periods, with the 1980–1999 sample exhibiting larger negative impact compared to 2000–2017. This hints on the effectiveness of energy diversification strategies employed post-2000 which resulted in lowering dependence on oil. [ABSTRACT FROM AUTHOR]

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially different business and technical capabilities. While there are manifold contributions to research on technical capability development, an integrated and aligned perspective on both business and technology capabilities for distinct data-driven business model archetypes is needed. This perspective promises to enhance research's understanding of this transformation and offers guidance for practitioners. As maturity models have proven to be valuable tools in capability development, we follow a design science approach to develop a maturity model for the transformation toward archetypal data-driven business models. To provide an integrated perspective on business and technology capabilities, the maturity model leverages a layered enterprise architecture model. By applying and evaluating in use at two manufacturers, we find two different transformation approaches, namely 'data first' and 'business first'. The resulting insights highlight the model's integrative perspective's value for research to improve the understanding of this transformation. For practitioners, the maturity model allows a status quo assessment and derives fields of action to develop the capabilities required for the aspired data-driven business model. [ABSTRACT FROM AUTHOR]

Blockchain is a new technology that is seen to be transforming businesses across various industries. This technology provides transparency under all levels of business and it supports traceability across various supply chains which older technologies could not reach. This research explores various factors affecting the adoption of blockchain technology in seafood towards sustainable supplychain for exports. Based on feedback from seven companies, technique for order performance by similarity to ideal solution is deployed to identify important factors for sustainable supply chain solutions. Regulatory uncertainity emerges as the major factor, which calls for reforms in regulatory compliance. Implementation costs rank second and need to be reduced for better adoption of the technology.

Our paper aims to identify the most important factors determining companies’ decision to invest in the energy transition in Algeria. Energy transition has been many governments’ main topic of interest over the last decades, climate change has led many of them to establish long-term plans for a successful energy transition; these plans aim to reduce greenhouse gas emissions following the guidelines of the COP21. Through a quantitative approach, we have addressed a questionnaire to different companies operating in Algeria and have obtained a total of 117 responses. The results show that financial, technical and regulatory factors have minimal impact on companies’ decision to invest in renewable energy and energy efficiency in Algeria. Further studies should explore other investment factors to help accurately determine those that significantly impact companies’ decisions to invest in Algeria’s renewable energy and energy efficiency. Furthermore, targetting one sector at a time and exploring the alternatives of foreign direct investment in renewable energy can result in higher efficiency.

This paper examines the causal relationship between industrialization, globalization, information communication technology (ICT) and environmental degradation in Malaysia during 1970–2019. It uses two indicators of environmental degradation (carbon emissions and ecological footprint), three dimensions of globalization (political, social, and economic) and three indicators of ICT (users of internet, mobile cellular, and fixed telephone subscriptions). It utilizes Granger causality technique in frequency domain which differentiates between permanent and temporary causality, Vector Error Correction approach as well as Variance Decompositions. The bound test shows that the variables have cointegration relationship. It reveals joint long-run and short-run causality from industrialization, globalization, and ICT to carbon emissions, albeit the causality to ecological footprint is tenuous. It indicates that industrialization, globalization, and ICT significantly predict carbon emissions at high frequency than at low frequency. A substantial percentage of the forecast error variance in environmental degradation are explained by industrialization, globalization, and ICT. The robustness of the empirical outcomes is confirmed by the alternative proxies of the variables. Our study implies that industrialization, globalization, and ICT are determinants of environmental degradation. Therefore, policies to mitigate environmental problem should prioritize these variables to attain green economy.

The immediate need for servitization and digital technologies like the Internet of Things (IoT), cloud computing and predictive analysis must be addressed in manufacturing industries. This research aims to analyze the impact of manufacturing services transformation management from traditional methods to technological innovation. This research approached the panel data of Chinese multinational equipment manufacturing industries for the analytical purpose from 2011 to 2017. The unit-root test has checked the stationarity of panel data and cointegration regression checked the long-term relationship among selected variables. The research results have confirmed a long-run and positive relationship between service transformation management of manufacturing enterprises and technological innovation. The positive upward trend among these two variables is because of increasing market demand-driven, open innovation network construction and increase in capital (intellectual, human & financial capital). The negative sign of values is declared the validity of an inverted “U-Shaped” analysis, which confirms the relationship's longevity. The adaptation of technological innovation has also indicated the growing performance trend in service management enterprises. As per the rule of inverted “U-Shaped” law, at a specific point, the manufacturing enterprises’ servitization management will start declining, and it will continue as a cyclic process. This research suggests that enterprises should prepare for the declining phase of servitization and sort out the other performance growth area, which will help to balance the performance of manufacturing enterprises wholesomely.

Industry 5.0 has introduced a novel interpretation of sustainable supply chains (SSCs) that emphasizes the importance of building a transparent and trustworthy network that can be continuously monitored and controlled through stakeholder collaboration as well as the use of advanced, intelligent machinery. The ultimate goal of SSCs is to meet specific economic, social, and environmental standards. The implementation of blockchain technology can significantly improve the reliability, efficiency, and security of the information exchanged among stakeholders in SSCs. However, these stakeholders inevitably possess varying informational advantages and exhibit divergent perspectives regarding the adoption of blockchain technology. This paper thus aims to examine the impediments to the adoption of blockchain technology in the context of SSCs with the goal of promoting blockchain adoption. To achieve this objective, this study analyzes the barriers to blockchain adoption from the perspectives of various stakeholders in SSCs and constructs a barrier severity assessment model that utilizes group decision-making methods to integrate all stakeholders’ attitudes. This study employs the PEEST (political, economic, environmental, social, and technological) framework to identify 27 barriers to the adoption of blockchain technology. Subsequently, an expertise-based group decision-making approach is used to quantify the prominence of various barriers according to various types of stakeholders. The results indicate that the five most intense barriers are storage constraints, insufficient economic incentives, high integration costs, a lack of functional appeal, and ambiguity regarding data disclosure and public data management regulations. This research makes novel theoretical and practical contributions, as it takes an empirical and all-encompassing approach to identifying obstacles to the adoption of blockchain technology and provides valuable insights for policymakers and practitioners to reference in overcoming these obstacles.