Supply Chain Technology Research Articles

Analysis of the Impact and Application of Artificial Intelligence on the Development of Supply Chain Technology in Large Enterprises

In recent years, artificial intelligence (AI) has become an important driving force for the development of large enterprise supply chain technology. Through machine learning, natural language processing, computer vision and other technologies, AI can help enterprises improve the efficiency and reliability of supply chains. This article analyzes the impact of AI on the development of large enterprise supply chain technologies and explores its applications in data analysis and forecasting, planning and scheduling, automation and robotics technologies, risk management and anti-fraud for supply chain management. The results show that AI has huge potential to improve the efficiency, transparency and security of large enterprise supply chains. It can help enterprises more accurately analyze massive amounts of supply chain data, predict potential problems, optimize planning and scheduling, improve automation levels with robots, and strengthen risk oversight and fraud prevention through technologies like machine vision.

Digitalization of operations and supply chains: Insights from survey and case studies

PurposeThis article aims to understand where industry is in terms of digitalizing their operations, what features of this transformation are essential for practitioners, and what barriers they are facing during their journey. In addition, the authors aim to provide recommendations for organization to start their digital transformation.Design/methodology/approachThrough literature review, the authors summarize the emerging tools and technologies in operations and supply chains to inform the practitioners. Then, the authors use surveys conducted on 183 operations and supply chain professionals, and use statistical tools to examine the association between variables of the data set. The authors present real-life case studies to explain important steps of a digital transformation project.FindingsThe survey results indicate that real-time monitoring and data analytics are viewed as the most important and needed tools for organizations. High cost, lack of stakeholder buy-in and lack of successful business use cases are major barriers for companies when starting a digital transformation.Practical implicationsThe authors provide recommendations for practitioners based on the survey responses, and outline that starting small, focusing on stakeholder buy-in and implementation of software are the three key steps for a successful transformation journey.Originality/valueMain contributions of this article are to understand practitioner perspectives in digitalization and provide guidelines for organizations to follow when transforming their operations. This research closes the gap between academic research and practice by collaborating with operations and supply chain professionals.

Employing Electronic Technology in the Organic Supply Chain to Boost Organic Business Growth

This research focused on examining the impact of electronic technology and the roles of different stakeholders within the organic supply chain, aiming to boost the development of organic businesses. Despite the global surge in organic farming, Bangladesh lags in this area, with minimal research on its organic supply chain. To address this gap, the study gathered primary data via self-administered surveys from 389 participants, including industry players, consumers, and transporters in the organic agriculture sector, using stratified random sampling. Techniques like Path Analysis and Structural Equation Modeling (SEM), facilitated by AMOS software, were employed to scrutinize and interpret the data. The study achieved its goals, validating the hypotheses that e-technology and stakeholder dynamics significantly affect the organic business's growth. This research not only provides valuable theoretical insights but also contributes data that can aid future investigations into the organic supply chain, particularly the effects of various factors and e-technology on it.

A Multi-stage Optimization Strategy Based on Fuzzy QFD and Fuzzy Swara to Adopt Blockchain Technology in the Drug Supply Chain

Introduction: Utilizing blockchain technology helps to address issues that the supply chain faces, including the intricate connections between chain network members, regulation of the distribution network, and inventory management.
 Objective: To adopt blockchain technology in the drug supply chain, this study aims to offer a multi-stage optimization strategy based on Swara and QFD approaches and a zero-one nonlinear optimization problem employing a fuzzy approach.
 Methods: First, field and library research was conducted to identify the barriers to the adoption of blockchain technology in the drug supply chain and the ways to overcome these barriers. The relevance of the barriers is ascertained using the fuzzy Swara approach following their refinement employing the Friedman test. The output is entered as an input in the house of quality (HOQ) rows, while the barrier-reducing techniques are presented in the columns. These approaches to reducing barriers are arranged in rows in the second phase of the house of quality.
 Results: Among the criteria of the barrier-reduction approach, the Performance Expectancy criterion with a score of 0.0521 has the greatest score, and the criterion of Focusing on the Major Points has the minimum score, as determined by the findings of the fuzzy Swara model. The criterion of Enhancing Transparency with a score of 0.5374 and Reducing Risk with a score of 0.4045 have the maximum, and Sustainability Performance with a score of 0.07 has the minimum score, according to the findings concerning the objectives of blockchain technology adoption in the drug supply chain. The criterion of lack of customers' awareness and attitude about sustainability and blockchain technology has the greatest score among the barriers to adoption, scoring 0.521, and the criterion of difficulty in altering organizational culture, scoring 0.033, has the minimum value.
 Conclusion: Based on the results of the fuzzy house of quality, we concluded that, for the adoption of blockchain technology in the drug supply chain, the eighth (long-term perspective), first (performance expectation), and tenth (focused on the primary strengths) strategies are more beneficial. In addition, it was demonstrated that the second (Effort Expectation), ninth (information sharing), and sixth (Trust) strategies have poor rankings.

Risk management behaviour in digital factories: the influence of technology and task uncertainty on managerial risk responses

PurposeThis study aims to advance a behavioural approach towards understanding how managerial perception impacts the enactment of responses to risk management during the implementation of digital technologies in industrial operations and supply chains. The purpose is to investigate the influence of (digital) technology and task uncertainty on the risk perception of managers and how this impacts risk responses adopted by managers.Design/methodology/approachFollowing an exploratory theory elaboration approach, the authors collected more than 80 h of interview material from 53 expert interviews. These interviews were conducted with representatives of 46 German companies that have adopted digital technologies for different industrial applications within manufacturing, assembly and logistics processes.FindingsThe findings provide nuanced insights on how individual and combined sources of uncertainty (technology and task uncertainty) impact the perception of decision makers and the resulting managerial responses adopted. The authors uncover the important role played by the interaction between digital technology and human being in the context of industrial operations. The exploratory study shows that the joint collaboration between humans and technologies has negative implications for managerial risk responses regardless of positive or negative perception, and therefore, requires significant attention in future studies.Research limitations/implicationsThe empirical base for this study is limited to German companies (mainly small and medium size). Moreover, German culture can be characterised by a high uncertainty avoidance and this may also limit the generalizability of the findings.Practical implicationsManagers should critically revise their perception of different types of digital technologies and be aware of the impact of human-machine interaction. Thereby, they should investigate more systematic approaches of risk identification and assessment.Originality/valueThis paper focuses on the managerial risk responses in the context of digitalisation projects with practical insights of 53 expert interviews.

The impact of digital supply chain announcements disclosing corporate social responsibility information on stock market value

PurposeUsing social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.Design/methodology/approachBased on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.FindingsFirst, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.Originality/valueFirst, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.

Blockchain technology in a crisis: Advantages, challenges, and lessons learned for enhancing food supply chains during the COVID-19 pandemic

This study explores the implementation of blockchain technology in the Chinese food supply chain during the COVID-19 pandemic and examines its advantages and challenges. This study uses an interpretive research strategy and theoretical framework to gather positive feedback on blockchain technology from the fresh vegetable food industry, online retailers, state-owned enterprises, the meat industry, the dairy industry, and retail stores. These findings highlight the potential benefits of blockchain, including enhanced efficiency, transparency, reliability, and traceability in the food supply chain. However, difficulties with labor data management, interoperability, data accuracy, financial constraints, and regulatory considerations have been identified. This study collects comprehensive data on labor management, standardized protocols, verification mechanisms, barrier-reduction efforts, and collaboration with stakeholders and regulators to address these challenges. This study aimed to create a more resilient and efficient food supply chain system by providing a roadmap for prioritizing improvements. The practical implications include risk management strategies, targeted support for farmers, and investments in sustainable agricultural practices to ensure food security. Overall, this study provides valuable insights for harnessing the potential of blockchain technology to strengthen the Chinese food supply chain amid crises.

Machine learning driven portable Vis-SWNIR spectrophotometer for non-destructive classification of raw tomatoes based on lycopene content

Most of the research on intact fruit spectroscopy is derivative in nature as it primarily showcase application of existing spectroscopy devices which are often proprietary in nature. The regression models developed by researchers to predict physicochemical attributes using spectra remain theoretical due to lack of mechanism to integrate the developed models back into proprietary devices. This poses challenge for commercial adaptation of this technology in commercial food quality supply chain. The present study addresses this research gap by presenting first of its kind innovative approach to classify tomatoes based on lycopene content using chemometrics-machine learning framework driven portable short-wave near infra-red (SWNIR) spectrophotometer developed by integration of open-source hardware (AS7265x multispectral chipset having wavelength range 410–940 nanometre (nm), Arduino Uno microcontroller) and software (R platform), housed in ergonomically designed and 3-dimension printed cabinet ensuring noise-free spectra acquisition. The lycopene content was observed to have strong negative correlation with wavelengths (nm) 485, 560 and 585 at ρ = – 0.65, – 0.70, – 0.70, whereas strong positive correlation with 760 nm at ρ = +0.64. Similar associations were qualitatively observed using principal component analysis. Atypical of literature, feature selection was performed based on analysis of variance and 14 wavelengths which exhibited statistically significant difference with respect to 15-days storage study (p ≤ 0.05) were selected for model development. Chemometrics-machine learning framework was used for development of optimised probabilistic and non-probabilistic models including logistic regression, Linear Discriminant Analysis (LDA), Random Forest (RF), Artificial Neural Networks (ANN) and Support Vector Machine (SVM) models using 10-fold cross validation subjected to 80–20% train-test split of the dataset. In agreement with literature, 500–750 nm wavelength range dominated the classification of lycopene content. Notably, specific wavelengths for logistic regression (560 nm), LDA (730 nm, 645 nm, 560 nm, 535 nm), RF (760 nm, 585 nm, 560 nm, 645 nm), and ANN (585 nm, 560 nm) significantly influenced outcome instances across classifiers. Accuracy obtained from confusion matrix on test dataset was used as performance metric to compare different models. Logistic regression and RF showcased accuracy of 80%, LDA and SVM at 90% while ANN outperformed all models with accuracy of 95%. This study successfully augmented technological advancement in field of spectroscopy for non-invasive quality assessment of fruit. It is recommended to conduct similar studies on other climacteric fruits for wider adoption of this technology.

Innovative technologies in supply chains

The article reveals the essential and substantive basis of supply chains, the main tasks. The main elements of the interaction of the material flow on the path of its movement have been studied. The relevance and necessity of using new information technologies in logistics and, in particular, in supply chain management is determined. Digital technologies are the basis of modernity, it is one of the promising areas of development of the world economy. The use of these technologies in logistics processes in the conditions of Industry 4.0 led to the emergence of the concept of "smart logistics". Thanks to smart technologies, the time of many processes in both marketing and logistics is reduced. You can reduce the speed of product delivery and its quality. The development of the digital economy in Ukraine is aimed at creating motivation, forming needs for the use of digital technologies to increase production volumes, increase competitiveness and national development in accordance with the "Concept of the Development of the Digital Economy and Society of Ukraine for 2018-2020" [1]. This concept notes the growing demand for the use of digital processes in various industries. The concept of "smart logistics" is equated with "intelligent logistics" or "intelligent logistics", which involves the optimization of information logistics flows that contribute to the automation of processes. That is, with the help of smart-logistics tools (information systems), efficiency increases in those processes where they are used. The movement of material flow in logistics chains requires the storage of certain stocks in warehouses. Accordingly, warehousing also needs to improve the efficiency of its activities, as well as the transportation system. The purpose of this article is to define the concept of smart logistics, its meaning and key elements. Key information technologies used in supply chain management are analyzed in the work, and the stages of their application are highlighted. The introduction of smart technologies in logistics determines clearer processes and priorities for the use of digital innovations in the company's activities.

Achieving rapid value and ROI from supply chain visibility while building long-term capabilities

With the recent rapid advances in digital supply chain technologies, companies are investing significant capital in these solutions. So far, however, the results and benefits are falling short of expectations. The current authors have discovered through multiple post-implementation assessments and a detailed survey of senior operations leaders that only 20 per cent of digital supply chain investments return the expected result. By looking deeper into the root causes of these value traps, this paper describes how the authors uncovered ways to improve the probability of successful digital transformation. The paper also examines which technologies are being implemented by companies and discuss how those technologies can help improve supply chain management. In our experience, companies can enhance returns on supply chain investments by adhering to four crucial mantras as part of their digital transformations: 1) quantify the benefit opportunity; 2) build a sustainable digital-focused operating model; 3) align across the enterprise and partners; and 4) prepare the organisation for the needed change. The paper also provides examples of how PwC uses these steps to help increase probability of success and return on investment.

Developing the framework of blockchain-enabled agri-food supply chain

Purpose The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.Design/methodology/approach The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.Findings The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.Research limitations/implications The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.Practical implicationsThis study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance. Originality/value The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.

Sustainable Supply Chain Management of COVID-19 Vaccines for Vaccination Delivery based on Routing Algorithms

Covid-19 pandemic has changed daily life in the city of Athens where vaccines are exploited with supply chain technology potentiality. Vaccines are tracked at the city’s airport till their delivery to vaccination centers. Due to the sensitivity of vaccines to the warm climate inherent in the city, delivery is assigned to a fleet of trucks. Specifically, two use cases, i.e., UC-I and UC-II, are proposed, which are based on global and local routing algorithms to exploit trucks’ load COVID-19 vaccine delivery from the airport and transport it to vaccination centers. In this paper, we focus on the supply chain routing algorithm technology of collecting COVID-19 vaccines from the airport and delivering them to vaccination centers in the smart city of Athens, Greece. Concretely, the purpose and the objectives of the research effort are in the areas of: (1) describing in deep detail the proposed supply chain system, (2) exploiting the adopted architecture based on certain separate use cases for system experimentation, (3) adopting specific vaccination routing algorithms to support vaccination distribution, and (4) evaluating experimentally the proposed supply chain system architecture with regards to the adopted use cases’ routing algorithms.

Effect of blockchain technology–supply chain risk fit on new product development performance: The moderating role of supply chain upgrading

As the most disruptive information technology at present, blockchain technology has considerable application potential in supply chain risk management. On the basis of technology–task fit theory, this study aims to theorize and examine blockchain technology and supply chain risk management by proposing a set of research hypotheses. To achieve this, blockchain technology is classified into two main characteristics, namely, traceability and security, and categorized supply chain risks into supply, demand, and process risks. This study also empirically validates the conceptual framework and proposes hypotheses using structural equation modeling, with 355 Chinese manufacturing firms as the research sample. Empirical findings demonstrate that all the three types of risk and the two main characteristics of blockchain (i.e., blockchain traceability and security) positively contribute to the supply chain risk–blockchain technology fit. Results also suggest that the supply chain risk–blockchain technology fit positively affects new product development (NPD) performance. In addition, the relationship between supply chain risk–blockchain technology fit and NPD performance is positively moderated by global value chain upgrading.

Evaluating the efficacy and drawbacks of traceability technology in the quality assurance of the food supply chain

The food industry can significantly benefit from blockchain technology by increasing transparency and visibility throughout the supply chain because it enables end-to-end data traceability in the food retail network. A blockchain does not require a central authority to control all data, reducing organizations’ need to disclose their proprietary information. All supply chain participants share only the data essential for a specific record or transaction. In this study, peer-reviewed journal articles were used as secondary data sources for data collection regarding blockchain usage in the food sector. After analyzing the collected data, key findings were organized into relevant themes to address the study’s objectives using content analysis. Organizations can adopt a cost-benefit analysis in the food industry when traceability technology is combined with blockchain. Transparency increases revenue and profitability, especially in segments where consumers are willing to pay. However, several risks and challenges must be addressed, including vulnerabilities, piracy, contractual disputes, and hacking. Using smart contracts, blockchain automates production processes and facilitates real-time order settlement. Even the most secure cryptocurrencies on the blockchain can be traced to varying degrees, emphasizing the importance of blockchain transaction reliability. To address privacy concerns and enable data-sharing capabilities, food companies should integrate blockchain with the Internet of Things (IoT). Using blockchain technology in food supply chain and packaging operations can also enhance transparency and traceability by enabling consumers to scan product codes using a mobile app.

Adopting blockchain-based traceability in the fruit supply chain in a developing economy: facilitators and barriers

PurposeBlockchain-based traceability technology (BTT) is an emerging digital technology that claims to have the potential to fulfil the demand for traceability to safeguard fruit safety. Drawing on the technological, organisational and environmental (TOE) framework, this study aims to investigate the perceived facilitators and barriers that influence the behavioural intentions of multiple stakeholders in the Vietnamese fruit supply chain (i.e., farmers, trading enterprises and consumers) to adopt BTT.Design/methodology/approachThis study utilised a qualitative approach of semi-structured in-depth interviews with 60 stakeholders in the Vietnamese fruit supply chain to achieve the research objectives. NVivo 12 was employed to analyse the collected data using content and thematic analysis.FindingsThe findings identify several perceived facilitators that motivate BTT adoption. These include trust, transparency, business performance, the formation of alliances, consumer awareness of food safety and ethical agricultural practices, fruit branding and the pivotal role of farmers' cooperatives. Meanwhile, the perceived barriers to BTT adoption include a lack of digital literacy amongst the stakeholders, poor organisational culture, the high cost of traceability-enabled products and data privacy and security governance.Practical implicationsThis study suggests that technology awareness and perceived facilitators and barriers should be incorporated into the design and deployment of blockchain-based traceability technology in the agri-food supply chain in developing countries.Originality/valueTo the best of the authors' knowledge, this study is the first qualitative paper that attempts to fill the research gap of understanding the perceived facilitators and barriers that influence the intentions of multiple stakeholders in the fruit supply chain to adopt BTT in the context of a developing economy.

The Importance of Adapting And Updating The New Supply Chain Capabilities For Sustainability In The Business of Supply Equipment In Oil and Gas Industrial Projects

The supply of equipment in oil and gas industrial projects requires high standards and specifications due to high requirements of safety and reliability. Delay of equipment delivery is very sensitive as the impact will be direct to the whole project, while the delay of project completion will disrupt PSC’s (Partnership Status Contractor’s) initial production. Ultimately, this would disrupt the oil and gas production target of the Government of Indonesia. Operational data show that a lot of delay is caused by the ineffectiveness of supply chain management at PT AMN. These conditions increased complaints and penalties from customers while at the same time decreasing the operational efficiency of PT AMN. To overcome this problem and enhance customer satisfaction it is required to evaluate the existing supply chain capabilities and then adapt, update, and develop new supply chain capabilities. Determine new supply chain capabilities of PT AMN, requires analysis data of PT AMN related to customers' needs, internal assessment, existing supply chain, check-list supply chain capabilities, SWOT analysis, five pillars, the landscape of supply chain technology, game changer and risk management analysis for business sustainability. In terms of determining supply chain capabilities, PT AMN is categorized as an Adaptive Initiative or Continuous Improvement Initiative

Determinants Influencing Supply Chain Technology Adoption towards the Performance of Micro, Small, and Medium Enterprises in Malaysia

Supply chain technology (SCT) is a tool to improve MSMEs' performance. Although SCT is widely utilised in various industries, its adoption by MSMEs is limited. Hence, this study aims to determine the relationship and develop the framework of technological, organisational, and environmental factors and MSME's performance using SCT adoption as a mediator. This study will employ the Diffusion of Innovation (DOI) and Technology-Organization-Environment (TOE) theories. Data will be collected through a questionnaire and analysed using (PLS-SEM). This study will provide significant information for MSMEs to further utilize the benefits of SCT adoption for improving organisational performance.

Can industry 5.0 technologies overcome supply chain disruptions?—a perspective study on pandemics, war, and climate change issues

AbstractIndustry 5.0 (I5.0) is the next industrial revolution that will leverage human intervention in collaboration with intelligent, logical, and smart machines to attain even more user-preferred and resource-efficient manufacturing and supply chain solutions. The main aim of this article is to study I5.0 technologies in supply chains when these are affected by disruptive phenomena such as those created by wars, climate change or pandemics. A systematic literature review methodology was conducted to understand the present knowledge connected with this theme. This study summarises 194 research articles from the period 2009 to 2022 to understand the present knowledge connected with this theme. The research findings show a significant gap related to the adoption of I5.0 technologies to prevent or overcome supply chain disruptions. 194 articles, including journal and review articles, were identified in the literature. The study provides a novel and insightful concept related to I5.0 within the context of supply chain disruptions. The potential applications of I5.0 and Industry 4.0 are elaborately discussed in three areas, namely: (1) disruptions in supply chains due to pandemics; (2) disruptions in supply chains due to war; and (3) disruptions in supply chains due to climate change. Finally, this study highlights research implications and proposes future research avenues that will contribute to further exploring the adoption of I5.0 technologies to prevent, manage and overcome disruptions in supply chains.

A fuzzy TOPSIS model for selecting digital technologies in circular supply chains

Several digital technologies are available to facilitate the transition toward a circular supply chain infrastructure. Small-Medium Enterprises (SMEs) should assess their readiness and measure their performance to select the most appropriate digital technology. This study explores how well-established digital technologies such as Cyber-Physical Systems (CPS), the Internet of Things (IoT), Cloud Manufacturing (CM), and Big Data Analytics (BDA) impact circular supply chain infrastructure in SMEs. Questionnaires have been distributed to collect employees’ preferences concerning the circular supply chain management criteria (profit, innovation, sustainability, and optimization). The responses have been organized into three clusters using Principal Component Analysis (PCA). A fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) technique is adopted to evaluate these technologies since it constitutes a reliable managerial tool when vagueness impacts the smooth operation of the supply chain. Results indicate the ranking order of the investigated digital technologies (CPS>IoT>CM>BDA) as well as the circular benefits and the supply chain attributes imparted upon implementing these technologies. Such benefits and attributes are provided to assess the impact of these digital technologies on a circular economy. Lastly, the perspective of the selection process affected by other factors, such as the enterprise’s extroversion level and its internal structure, are discussed.

Green supply chain technology and organization performance: Moderating role of environmental dynamism and product-service innovation capability

The green supply chain management (GSCM) system is considered as an environmentally friendly approach which considers different environmental issues in supply chain flow. There are different underlying technologies used in implementing GSCM; yet, we still have limited knowledge concerning how green SCM technology can enhance organizational performance. Further, the conditions that indirectly affect organizational performance within this context remain underexplored. Drawing on this gap of knowledge, the purpose of this research work is to investigate how adoption of GSCM can improve organizational performance. We also argue that the dynamism of the environment and the product-service innovation capability of organizations will have conditioning effects on this relationship. Grounded on the dynamic capability view as a theoretical lens, a conceptual model has been developed which is explored through feedback from 307 organizations involved in green supply chain management activities. We find that environmental dynamism and product-service innovation capability have moderating impacts on adopting green supply chain technology and organizational performance. The outcomes also indicate that green supply chain technology can considerably improve business value under certain contextual factors.