Market Supply Research Articles

Advancing interdisciplinary management science: A pathway to sustainable development goals

The Interdisciplinary Journal of Management Sciences (IJMS) plays a crucial role in advancing the understanding and application of management science in various fields. This editorial paper explores the intersection between interdisciplinary research and management science, emphasising the Journal's contribution to the Sustainable Development Goals (SDGs). IJMS encourages innovative research that addresses complex managerial issues, discourses, and challenges by incorporating principles from economics, engineering, social sciences, and technology. This paper highlights key areas of focus, such as decision-making, supply chain management, innovation, human resources, financial management, marketing, sustainability, educational management, conflict management, and governance. The relevance of each area to specific SDGs is discussed, showcasing how interdisciplinary approaches can provide comprehensive understanding and solutions to global issues. Despite the cognitive obstacles posed by disciplinary boundaries, methodological disparities, and pedagogical peculiarities inherent in interdisciplinary research, there are ample opportunities to leverage technological advancements and foster collaborative research for effective knowledge advancement. The IJMS's commitment to bridging theory and practice not only advances knowledge in management science but also makes a significant contribution to achieving the SDGs. This editorial calls for increased support from scholars, practitioners, and policymakers to further recognise interdisciplinary research in line with the Journal's vision for a future where management science drives sustainable development.

The Search for Sources of Conflicts: Supply and Demand in the Labor Market

Classical approaches towards categorizing conflict within the field of social sciences may not be applicable to the labor market context because they are beyond economic theories. To the best of our knowledge, currently, neither national nor foreign literature contains any conceptual systematization of conflicts that occur during the hiring process. Such systematization would combine conflict factors at the intersection of economic, sociological, and conflict theories. The article proposes a categorization that is based on the prominent conflict theories while taking into consideration potential employment conflicts within the labor market. The proposed categorization groups market participants (supply and demand sides) and sorts conflicts by type (systemic and non-systemic conflicts). Four primary sources of conflict are identified, including market mechanisms and salary expectations (systemic conflicts), company values and human capital (non-systemic conflicts). Systemic factors of conflicts such as supply/ demand matching and wage expectations are determined by market mechanisms. These economic factors are determined by objective and predictable processes, but sociological theories of conflict are typically excluded from the aforementioned context, which can result in a biased portrayal of macroeconomic processes. In addition, the policy of a particular company and a job seeker’s expectations for a specific job position are nonsystemic, they depend on such types of factors as company values and human capital.This categorization enables early identification of the source of conflict and potential reduction of its destructive effects.

Linking dynamic capability with mass customization capability: the mediating role of supply chain resilience

PurposeDespite the growing interest in enhancing mass customization capability (MCC), firms still have little knowledge of dealing with the superimposed challenges of increased market uncertainty and supply chain disruptions. Based on the dynamic capability view, this study focuses on the impacts of frequent sensing and reconfiguring processes on MCC and the mediating roles of proactive and reactive supply chain resilience (SCR).Design/methodology/approachWe collected survey data from 277 manufacturing firms and conducted a structural equation model to test hypotheses.FindingsThe results reveal that although its direct effect on MCC is insignificant, sensing process improves MCC indirectly via reactive SCR. Our findings also show that reconfiguring process enhances MCC both directly and indirectly via reactive SCR.Originality/valueThis study provides theoretical and practical insights into how to combine dynamic capability and SCR to strengthen MCC.

An Analysis of Key Determinants Shaping Potato Production and Market Supply in the South West Shoa Zone of Ethiopia

An Analysis of Key Determinants Shaping Potato Production and Market Supply in the South West Shoa Zone of Ethiopia

A study of European wheat price series forecasting based on multiple variants of Holt-Winters and LSTM models

Given the importance of wheat in global food security and agricultural economy, accurate price forecasts are of significant practical significance for growers, the food chain, and government macro-control. Four different time series forecasting models were used in this study, including the traditional Holt-Winters three-parameter exponential smoothing method and three improved models based on the Long Short-Term Memory Network (LSTM): the CNN-LSTM, the GRU, and the VMD-LSTM. By comparing the forecasting effects of these models under the same training and test sets, this study aims to select the best models using the best model for predicting European wheat prices from 2010 to 2023 after training. The results show that the CNN-LSTM model performs the best in predicting the European wheat price series, and the future wheat price will show a slow downward trend, and the CNN-LSTM model combines the feature extraction ability of convolutional neural network and the long-term dependency learning ability of LSTM, which can effectively capture the fluctuation characteristics of the price series and the trend characteristics. The GRU model also shows a better prediction ability, especially in dealing with long-term dependencies. in dealing with long-term dependencies. However, the VMD-LSTM model has certain shortcomings in its prediction effect when facing time series data with large fluctuations in the later period. In addition, the Holt-Winters model predicts that after a period of slow decline, wheat prices may rebound, which may be related to the adjustment of market supply and demand and changes in external factors.

Equilibrium bifurcation and extreme risk in the EU carbon futures market

Considering the long-term memory and volatility clustering of the European Union (EU) Carbon Emission Allowances (EUA) futures returns, based on the economy–energy–environment system perspective and the assumption of investors' heterogeneity, this study proposes a joint modeling approach combining the fractionally integrated generalized autoregressive conditional heteroscedasticity model (FIGARCH) and the stochastic cusp catastrophe model (SCC) to examine the equilibrium bifurcations and extreme risks in the EU carbon futures market. The relevant results are threefold. (1) The SCC model has good fitting effect and interpretability, and is an effective method for investigating catastrophe reactions under time-varying volatility conditions. (2) In the EUA futures market, chartists are mainly affected by short-term price and trading volume changes, which leads to the emergence of equilibrium bifurcations, while fundamentalists make investment decisions based on the economy, the energy market, and market supply–demand, which affects the asymmetry of equilibrium bifurcations. (3) Using the catastrophe criterion (i.e., Cardan's discriminant of the equilibrium surface equation), we identify148 equilibrium bifurcation time points in the EUA futures market from December 3, 2009 to September 16, 2020, most of which are concentrated in two upward periods with an average scale of extreme risks is about 32.51 %. Our analysis provides theoretical support for regulatory authorities to stabilize the carbon futures market and build a collaborative extreme risk management framework covering energy and macroeconomics, also proposing suggestions for traders to effectively prevent extreme risks.

STIMULATING THE DEVELOPMENT OF RESIDENTIAL DEVELOPMENT THROUGH MORTGAGE LENDING

The article is devoted to stimulating the development of housing construction through mortgage lending. The purpose of the article is to determine the role of mortgage lending in the development of the housing sector, in particular through its impact on supply and demand in the real estate market and pricing in this sector. In the course of the research, data analysis, correlation analysis, and methods of forecasting economic trends were used. Graphical methods were also used to provide a clear understanding of how changes in the mortgage market affect the development of the real estate sector. The results of the study show that mortgage lending is a key element in stimulating the development of the housing sector, as it not only directly facilitates access to finance for potential property buyers, but also indirectly affects the pricing and investment attractiveness of the housing sector. The paper shows that fluctuations in mortgage rates have a significant impact on the dynamics of supply and demand in the residential real estate market, as well as on price trends. In particular, rising mortgage rates tend to reduce demand for housing, as households expect better investment opportunities. There is also a strong correlation between mortgage rate increases and slower price growth. The expansion of the mortgage lending market and, consequently, a reduction in mortgage rates boosts supply in the real estate market. Nevertheless, it is found that such changes can have complex and ambiguous consequences, including the risks of market overheating and the formation of price "bubbles" that threaten the stability of the sector in the long run. In addition, the study found that mortgage lending facilitates the implementation of new construction projects and the expansion of the housing stock, which is an important factor in stimulating economic growth. At the same time, the analysis showed that the impact of mortgage rates on the real estate market depends on a wide range of factors, including the economic situation, central bank policy, consumer confidence and other macroeconomic indicators. The practical significance of the publication is to provide recommendations for the development of a balanced policy in the field of mortgage lending aimed at supporting the stable development of the housing sector and preventing potential destabilising factors in the real estate market.

The Role of European Supervisory Authorities in Consumer Protection Standard Setting on the Financial Services Market – Based on the Example of the European Banking Authority

The purpose of the article is to present the genesis of the emergence and the scope of powers of the European Supervisory Authorities (ESAs) (the EBA, ESMA, and EIOPA), with particular reference to the EBA as regards the building of its supervisory normative standard and the protection of the consumer of financial services. The authors will propose de lege ferenda postulates which, in their view, would allow for an improvement in the quality of the financial services offered to consumers and ensure a higher level of protection of their interests and, at the same time, legal certainty for their providers. Increasingly sophisticated and complex financial products cause interpretation difficulties for both the courts and consumer protection authorities, but above all for consumers themselves, which consequently poses a challenge for both sides of the market (supply and demand). It is also a challenge for the post-crisis ESAs as the EU bodies not only designated to monitor and manage both the stability and security of the financial market, along with the actual level of consumer protection within it. In the preparation of the article, the legal-dogmatic and legal-theoretical method, which is standard for such studies, was applied, which allows for an analysis of the provisions of EU law and the identification of the norms stemming from them using interpretation and the assessment of the content of the provisions through the prism of the principle of consumer protection from Articles 12 and 169 TFEU and the EBAs’ competence provisions. Due to the fact that, in principle, the powers and competences of all three ESAs are analogous and only differ in terms of the scope of their application (i.e., financial institutions operating in the relevant financial market sectors – banking, insurance, and pension and investment), the authors will present their considerations with reference to the European Banking Authority (EBA), which is an exemplification of the powers of the other supervisory authorities. Thus, the secondary piece of EU legislation to be considered in this article will be the Council and European Parliament Regulation, hereinafter known as “EBA Regulation” and the actions taken by the EBA on that basis.

Study on the current situation and influencing factors of corn import trade in China – based on the trade gravity model

Abstract With the rapid development of China’s economy and society, the income level of Chinese residents is increasing day by day, and the dietary consumption structure of domestic residents is constantly optimized and upgraded. The consumption demand for livestock products such as meat, eggs and milk, and corn starch industrial products is increasing day by day. Therefore, as the main raw material of feed industry and deep processing owners, the consumption scale of China corn market is constantly expanding. However, the corresponding domestic corn production scale has not expanded, and the domestic corn production presents an obvious problem of insufficient supply scale, which leads to a sharp and rapid increase in the number of corn imports in China, which seriously impacts the domestic corn market and affects China’s healthy development of corn industry. In recent years, the continuous spread of the COVID-19 epidemic has seriously affected the global grain production and trade. The fierce military conflict between Russia and Ukraine, the two major grain exporting countries, has once again brought a serious adverse impact on the supply and price of the global grain market, resulting in an increase in the import cost of corn in China and a change in the import pattern of corn in China. In this regard, this study analyzes the current situation of corn production and import trade in China, and based on the relevant trade data between China and major corn importing countries from 2013 to 2022, establishes a trade gravity model to quantitatively evaluate the main factors affecting China’s corn import trade, and analyzes the trade potential of sample countries. It was found that in 2022, China’s import and export trade volume and trade value were 20.62 million tons and 7.11 billion US dollars, respectively, compared with 2013, trade volume and trade volume increased by 6.3 times. Statistics on the potential types of various trading countries showed that the proportion of potential countries was 14.2%, and Brazil had the greatest potential in China’s corn import trade. The proportion of potential expanding countries is about 71.4%, and Laos is a mature country with less opportunities for further development. In order to promote the benign development of the domestic corn industry and the development of China’s corn import trade, this paper puts forward a series of countermeasure suggestions based on the above research.

Sustainable production and dissemination of genetically improved farmed tilapia seed in smallholder farming systems: A case study from Timor-Leste

CONTEXTTimor-Leste's National Aquaculture Development Strategy (NADS) 2012–30 aims to achieve an annual aquaculture production of 12,000 tons by 2030 to raise per capita fish consumption from 6.1 kg in 2010 to 15 kg. Genetically Improved Farmed Tilapia (GIFT) is identified as the most suitable species under Timor-Leste's existing farming systems and agro-ecological context. It is expected to account for two-thirds of total aquaculture production, requiring over 30 million fingerlings annually, necessitating a strong role of public and private sectors to develop a sustainable hatchery model for producing and supplying high quality GIFT fingerlings to fish farmers on a mass-scale. OBJECTIVEThe major objective was to conceptualize and apply a public-private partnership (PPP) model to produce and disseminate high-quality monosex GIFT seed by public and private hatcheries across Timor-Leste. METHODSModel GIFT hatcheries were established and monitored using a standard protocol developed by the R&D team. Data on total eggs, clutch size, incubation survival rate, swim-up fry, and monosex fry produced were recorded on a weekly basis. The performance of hatcheries was compared using descriptive statistics at a 5% level of significance. Economic analysis was conducted to compare production costs, gross profits, and net profits among hatcheries and nurseries. Enabling conditions and factors for effective PPP were identified. RESULTS AND CONCLUSIONSThe WorldFish, in collaboration with Timor-Leste's Ministry of Agriculture and Fisheries, upgraded an existing public hatchery in Gleno, Ermera, introduced GIFT in 2015, and developed it as a GIFT broodstock centre to supply quality brood fry to other hatcheries. To produce monosex seed on a mass-scale, four PPP model GIFT hatcheries were established between 2019 and 2023. Results from a public hatchery and two initially established PPP model hatcheries showed that the hatchery in Parlamento had significantly higher (P < 0.05) monthly production of eggs, swim-up fry, monosex fry, and clutch sizes. On average, over 177,000 monosex fry per month were produced by those three hatcheries. Local service providers (LSPs), self-employed youths who have been recruited and trained to facilitate input supply and output marketing, purchase GIFT fry from the hatcheries, nurse them to fingerling size, and supply them to farmers. To achieve high seed production and supply targets, scaling of PPP model hatcheries, nurseries, and LSPs along with effective training and technical back-up, favourable policies, institutional environments, and governance mechanisms, is necessary. SIGNIFICANCEThe PPP model GIFT hatcheries are scalable across inland farming systems in Timor-Leste and other countries with similar agro-ecological, socio-economic, and climatic contexts.

Tinjauan Hukum Ekonomi Syariah Terhadap Kenaikan Harga Beras di Nusa Tenggara Barat

Indonesia is experiencing an increase in rice prices nationally, especially in West Nusa Tenggara. The NTB Province Central Statistics Agency (BPS) stated that the increase in rice prices in NTB in September 2023 will reach 46 percent. This increase was due to the impact of the long dry season or El Nino. This quite high increase in rice prices caused inflation in NTB. This research aims to determine the practice of increasing rice prices in the people of Nusa Tenggara Bara. The type of approach used in this research is a descriptive qualitative approach. Data collection in this research method uses observation and documentation methods. The research results show that West Nusa Tenggara is experiencing a rice surplus. Still, the reality is different from the real conditions, namely price increases in the region, so there needs to be serious monitoring, including from a policy perspective, especially restrictions on outbound rice distribution. Because what takes priority first is the needs of the local community which must be met. The increase in rice was caused by national prices not being the same as regional conditions, which caused price increases. In a market mechanism, the demand and supply sides must be balanced. Islam provides the view that the interests of the ummah are more important than other needs.

Sustainable supply chain innovation and market performance: The role of sensing and innovation capabilities

The involvement of supply chains in the creation of competitive advantages can drive change and innovation, particularly when considering the current need for sustainable practices in line with the demands of the consumer market. In this context, this study aims to investigate the impact of the dynamic capabilities of market sensing and innovation on sustainable innovation practices in supply chains and on market performance. For this, a survey was performed with 137 Brazilian experts in supply chain management using Structural Equation Modeling. We found a positive impact of the dynamic capabilities of market sensing and innovation on sustainable innovation practices in supply chains and on market performance. The investigation indicated paths for the adoption of a multilevel theoretical perspective based on the exploration of dynamic capabilities in line with marketing objectives.

Time Series Trends Forecasting for Manufacturing Enterprises in the Digital Age

In the digital age, manufacturing enterprises face challenges like information overload and data fragmentation. To address these issues, this paper proposes a novel method that integrates the Improved Whale Optimization Algorithm (IWOA), Bidirectional Long Short-Term Memory (BILSTM), and Temporal Pattern Attention (TPA) for analyzing time series data. IWOA optimizes hyperparameters, BILSTM captures temporal dependencies, and TPA enhances interpretability. Experimental results show the method's effectiveness in market trend prediction, production planning, and supply chain management. It enables accurate forecasts in a competitive environment, enhancing flexibility and foresight. This research overcomes existing limitations, offering a valuable analytical tool for understanding the digital economy's impact on manufacturing enterprises. It provides guidance for the industry's development in the digital era.

Tax holidays and the heterogeneous pass-through of gasoline taxes

The pass-through of gasoline taxes to retail prices plays a vital role in determining the extent to which a fuel tax suspension policy provides financial relief to consumers. Given the increased interest in utilizing such “tax holidays” to mitigate the unprecedented rise of gasoline prices in 2022, it is important to obtain location-specific pass-through estimates that will inform future similar policy efforts. Using daily city-level data from a sample of 108 cities in 15 East Coast states and the District of Columbia during the period February 1, 2022-June 30, 2022, I estimate an average pass-through rate of gasoline taxes of 79%. My subsequent analysis reveals heterogeneity in pass-through across locations and explores supply constraints, market isolation, and spillover effects as possible contributing factors to this heterogeneity.

Economic Policies and Their Influence on Livestock Market Dynamics

Purpose: The general objective of the study was to explore the economic policies and their influence on livestock market dynamics. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to economic policies and their influence on livestock market dynamics. Preliminary empirical review revealed that fiscal policies, such as subsidies and tax incentives, play a crucial role in reducing production costs and stabilizing market supply. Likewise, monetary policies, including interest rate adjustments, influence investment and innovation within the sector. Trade policies, such as tariffs and free trade agreements, affect market competitiveness and access to international markets. Regulatory policies concerning animal health and environmental protection ensure product quality and consumer confidence. The study emphasizes the need for balanced and well-designed policies across all these areas to support the sustainable growth of the livestock industry. Unique Contribution to Theory, Practice and Policy: Keynesian Economic Theory, Neoclassical Economic Theory and Institutional Economic Theory may be used to anchor future studies on economic policies and their influence on livestock market dynamics. The study significantly advances theoretical understanding by elucidating the intricate relationship between economic policies and livestock market dynamics. It recommends further exploration into the interplay of fiscal, monetary, trade, and regulatory policies to develop comprehensive models predicting market behavior accurately. Practically, the study advises livestock producers to adopt adaptive management practices, staying informed about policy changes and implementing flexible business strategies. Industry associations are urged to disseminate policy information and support farmers in navigating shifts. From a policy standpoint, coherence, targeting, and responsiveness to sectoral needs are underscored, advocating for a holistic approach to policy design. Fiscal policies should support short-term stability and long-term sustainability, targeting critical areas like feed costs and infrastructure. Monetary policies should balance investment stimulation with inflation control, while trade and regulatory policies should negotiate balanced agreements and stringent standards to ensure competitiveness and safety in the global market. Keywords: Economic Policies, Livestock Market Dynamics, Fiscal Policies, Monetary Policies, Trade Policies, Adaptive Management Practices, Industry Associations, Policy Coherence

Modelling (A)symmetric Nexus Between Macroeconomic Information Sentiment Biases and Stock Market Returns in Case of India: A Bound Test Approach

This research attempts to scrutinise the asymmetric nexus of macroeconomic factors in determining the financial stock market performance using index returns of BSE-SENSEX and NSE-NIFTY as proxies for stock market performance in India. The auto-regressive distributed lag (ARDL) results demonstrate the long-term nexus of money supply, interest rates, gold prices, inflation, exchange rate, oil prices and foreign institutional investment (FII) in the capital market with stock returns. The non-linear ARDL (NARDL) results unequivocally support that the selected macroeconomic factors have an asymmetric nexus with the stock market performance. The study’s empirical findings have significant consequences for policy in designing the asset allocation decisions by the investor, portfolio managers and policymakers in the circumstances of a sudden positive or negative shock in the stock market. JEL Codes: E44, G10, C58

Optimal investment by large consumers in an electricity market with generator market power

The investment decisions of energy-intensive consumers can alter the balance of supply and demand in an electricity market. In particular, they can increase the market power of incumbent generators such that prices may increase as a consequence of their investments. Whilst it is therefore intuitive that such investors will wish to consider their effects on the market, it is a challenging problem analytically and one that has been under-researched. In general, the problem can be manifest in any supply chain where demand-side investments influence endogenous price formation in the intermediate product markets. Theoretically, we show how the presence of producer market power decreases demand-side investments and then, computationally we formulate a quad-level program to model the operational implications for a demand-side investor in more detail. With an innovative reduction in complexity to a bilevel model, an efficient solution algorithm for the optimal investment by a demand-side investor is facilitated. We demonstrate computability on a small scale electricity system and the results confirm the theory.

Financial Institution's Role in Supply Chain Risk Management: Strengthening Resilience and Mitigating Financial Risks

One of the most important problems that multinational organizations are dealing with in risk-oriented supply chains is efficiency assessment and choosing the best low-risk financial institution for financial assistance. We provide an integrated approach for evaluating the unpredictable, dangerous, and fragile arrangement of the financial sector, which directly affects the supply chain network's processing stages. This model is supported by fuzzy-soft tools. The real economy is currently under pressure from both the domestic economic crisis and the decline in international commerce. President Xi Jinping has often suggested stepping up initiatives to assist the real economy's high-quality growth. In this regard, the development of the model for supply chain financing offers a fresh approach to resolving the funding issues faced by businesses. To tackle the financial issues facing the marketplace, we should use the chain of custody finance model, but we also need to thoroughly understand the risks associated with it and how to manage them. False trade orders and insufficient control over core businesses are difficulties that the present logistics finance risk management must deal with. The World Wide Web, big data, and block chain technologies are all blooming, opening new avenues for risk management in block chain finance. As a result, the goal of this essay is to examine the features of supply chain finance based on the technology of block chain, examine the risks associated with financing supply chains, and debate how to use block chain innovation for supply chain banking risk management.[4] Risk Financing: To assist organizations in transferring or reducing supply chain risks, financial institutions offer risk financing solutions including insurance &amp; alternative risk transfer methods. The creation of novel risk financing products, evaluation of their performance, and comprehension of the effects on the resilience of supply chains can all be the subject of research. Financial institutions provide supply chain financing options like factoring, discounted invoices, and supply link finance programmed that help businesses manage their working capital, improve cash flow, and lower the risk of supplier failure to pay or insolvency. The effects of different financing choices on supplier relationships, supply chain stability, and overall risk reduction may be studied. Financial institutions collaborate with businesses to detect and classify different supply chain risks. An extensive investigation of the supply network environment, encompassing suppliers, transportation, logistics, and market dynamics, is required in this phase. Data gathering techniques used may include questionnaires, interviews, &amp; site visits. In the above rank one is axis, and the last one is Punjab national bank. Financial Institution in Supply Chain Risk Management In the above rank one is axis, and the last one is Punjab national bank.

Enhancing competitiveness in the Indonesian meat processing industry: a literature review

Abstract Ensuring access to nutritious food and maintaining high standards in food supply is essential for the expanding population of Indonesia, as outlined in Law No. 18 of 2012. Within the framework of the National Industrial Development Master Plan (RIPIN) for the years 2015–2035, the meat processing industry plays a pivotal role. The surge in income levels, changes in dietary habits, and the growth of modern retail outlets have increased the demand for processed meat products in the country. However, the industry faces obstacles such as low levels of meat intake and a heavy dependence on imported raw materials, highlighting the need for a well-rounded strategy to boost competitiveness, encourage consumption, and tackle nutritional issues. This literature review delves into the Indonesian meat processing industry’s competitiveness, addressing the need for strategic enhancements to meet domestic and global demands. It identifies key challenges, including the reliance on imported raw materials and limited export market expansion. Through a comprehensive literature review, it explores strategic frameworks and innovative approaches, emphasizing the Industrial Competitiveness Index (ICI), SWOT analysis, and the Analytic Hierarchy Process (AHP) for strategic decision-making. Recommendations include investment in technology and innovation, enhancing supply chain sustainability, market diversification, skill development, and regulatory support. The paper concludes that a multifaceted strategy integrating these elements can significantly boost Indonesia’s meat processing industry’s competitiveness and sustainability.

Complexity and Change: Antecedents of occupational injuries

Today’s environment requires operations and supply chains to be adaptable and flexible, leading to a constant state of change. This complex business environment presents multiple difficulties in managing occupational safety. To date, safety research has largely focused on the complexity of a firm’s operations, directly linking the complexity of the operational environment to workforce safety. This research explores the effect of complexity on occupational injuries from multiple dimensions (operational, supply chain and market) to answer the question: “Do the absolute level of complexity and changes in the level of complexity exert a negative effect on a company’s safety performance?” Using secondary data from global companies listed in the United States, our results indicate that an increase in occupational injuries is generally associated with higher levels of operational complexity. This study contributes to the existing literature by conceptually and empirically confirming that supply chain and market complexity have negative implications for occupational safety. The findings also extend the existing literature, showing that an increase in the level of complexity leads to a significant increase in occupational injuries, while a decrease in complexity does not necessarily reduce occupational injuries. Our findings suggest that practitioners should be aware of the implications for safety performance when making structural decisions that create greater complexity. Furthermore, the findings also inform policymakers and regulators, suggesting that companies that are exposed to more complexity − even complexity that is exogenous to the operations − require greater attention in monitoring and auditing to ensure the safety of the workforce.