Principal Perspectives on School Staffing Struggles: Finding from the 2022 Learn Together Survey. American Educator Panels. Research Report. RR-A827-14

In this report, a nationally representative sample of kindergarten through 12th grade (K-12) public school principals were asked about their experiences with covering classrooms and hiring staff. In the spring of the 2021-2022 school year, which coincided with the coronavirus disease 2019 (COVID-19) omicron variant surge, most principals struggled to keep classrooms consistently staffed and many reported that hiring had become more challenging since the previous school year. Principals indicated that a lack of substitute teachers -- not an increase in open teaching positions -- was the main reason for classroom coverage shortages. In addition to day-to-day coverage issues, most principals reported that teacher vacancies were on the rise. Most of these principals believed that vacancies had grown more difficult to fill than in the prior school year, largely because of declining applicant counts. Principals' preferences when hiring teachers lend further insight into potential drivers of hiring challenges. A large majority of principals expressed strong preferences for like-minded teachers whose mindsets aligned with the vision and culture of the schools. Few principals prioritized the diversity of the educator workforce at their schools.

Port strategy and performance: empirical evidence from major container ports and implications for role of data analytics

Container ports operate in more challenging and volatile environments at present times. Events such as US-China trade tensions and the COVID-19 pandemic severely affect numerous container ports at various levels. Strategies pursued by container ports are key to port development and management amidst these challenges. Drawing on configuration theory, this research employs Fuzzy-set Qualitative Comparative Analysis to investigate the relation between port strategies and container throughput. The research contributes to the literature by proposing an approach to account for complexity of the port sector and offers insights into strategies adopted by major container ports. The research further identifies 10 port strategies and proposed indicators that can represent the essence of these strategies. Being able to represent strategies in a quantitative format is important for strategy analysis and performance evaluation. Results reveal that major container ports employ a combination of strategies which address both the supply and demand-side aspects of the port business. Growing digitalization and digitization coupled with advancements in information capture, diagnostics capabilities and predictive abilities means a greater role for data analytics to influence container port strategy and performance. Implications for port managers, policy makers and researchers from the perspective of port policy and management are proposed.

The effects of online restaurant menus on consumer purchase intention: evidence from an emerging economy

PurposeThis study evaluates the impact of online menus and perceived convenience of online food ordering on consumer purchase intention and shows how a desire for food creates a relationship between an online menu and a customer's purchase intention. Suggestions for management are proposed to design an effective menu to improve business performance in the competitive market in Vietnam.Design/methodology/approachThe paper follows a quantitative method. Quantitative research aims to analyze and critically evaluate the research question(s) to discover new factors.FindingsFindings indicate a positive relationship between menu visual appeal (MV), menu informativeness (MI), desire for food (DF), the perceived convenience (PC) of ordering food online and intention to purchase (PI). The attractiveness of images and information is a significant factor affecting diners' desire to eat, while the demand for food and the convenience of ordering food online are also factors affecting purchase intention.Practical implicationsThe study confirms the importance of online menus to purchase intention. Economically, when supply and demand are reasonable, the market is stable and technology develops. In terms of social, hygiene, attractiveness and price factors, it is helpful to have an overview. Research is the premise for further studies with factors from menu to customer trust.Originality/valueThe study provides a solid foundation for further studies on restaurant menu elements as well as a new perspective on how restaurants improve their dishes.

Macroeconomic impact of the supply shock during COVID-19 pandemic in India

Purpose: The study focuses on examining the impact of the supply shock on the Indian macroeconomic variables during the COVID-19 period. Design/methodology/approach: Time-varying factor augmented vector autoregressive model has been employed to study the asymmetry in transmission of supply shock on Indian economy during pre- and post-COVID-19 times. Findings: The authors find that with supply shock, retail food inflation outpaced in COVID-19 times. Production levels reported by IIP fell to abysmally low levels in the post-COVID-19 times when the economy stalled. The liquidity stimulus provided by the central bank led to the negative response of policy rates to the supply shocks during the COVID-19 times. Originality/value: The study stands novel in examining the impact of COVID-19 pandemic on Indian economy through the lenses of asymmetric transmission of supply shock during pre- and post-COVID-19 times. © 2023, Emerald Publishing Limited.

The Game Analysis among Governments, the Public and Green Smart Supply Chain Enterprises in Necessity Purchase and Supply during COVID-19 Pandemic

During the COVID-19 pandemic, panic buying, price inflation, and the pollution of production processes led to economic and social unrest. In response to the current situation, the current research takes less account of the subjective perception of public panic buying and the lack of reference to the reality of effective governance. First, this paper uses prospect theory to portray the public's perceived value of goods in panic buying and non-panic buying situations. Then, drawing on the experience of effective governance in China, a tripartite evolutionary game model of local government, the public and green smart supply chain enterprises is constructed under the reward and punishment mechanism of the central government. Then, this paper analyzes the strategic choices of each game player and the stability of the system equilibrium. The structure of the study suggests the following. (1) Improving local government subsidies and penalties, the cost of positive response and the probability of response can lead to an evolutionary direction where the public chooses not to panic buy and green smart supply chain enterprises choose to ensure a balance between supply and demand and increase pollution control in the production process. (2) Our study yields three effective combinations of evolutionary strategies, of which an ideal combination of evolutionary strategies exists. Non-ideal evolutionary strategy combinations can occur due to improper incentives and penalties of local governments and misallocation of limited resources. However, we find four paths that can transform the non-ideal evolutionary strategy combination into an ideal evolutionary strategy combination. (3) The central government's reward and punishment mechanism is an important tool to stabilize the tripartite strategy, but the central government cannot achieve effective governance by replacing incentives with punishment.

Improving rural water supply in Mexico in times of pandemics

La eficacia de las estrategias de la administración pública se ha medido en la forma en que manejan las pandemias y los efectos en cadena que se producen en el medio ambiente o la sociedad, y en este caso, en el abastecimiento de agua rural en México en tiempos de pandemia. El acceso al agua en las zonas rurales de México y cómo el gobierno ha manejado el aumento de la demanda durante las pandemias se exploran mediante una revisión sistemática de 51 documentos. El sistema de agua de México está por debajo de la media y es necesario realizar más inversiones en los planes de gestión comunitaria. Se requiere la participación de la ciudadanía en el desarrollo de esquemas de gestión comunitaria para encontrar una solución a la demanda y oferta cambiantes.Alternate :The efficacy of public administration strategies has been gauged on how they handle pandemics and the knock-on effects that occur on the environment or society, and in this case, in the rural water supply in Mexico in times of pandemics. Water access in rural Mexico and how the government has managed the rise in demand during pandemics are explored using a systematic review into 51 documents. Mexico's water system is below par and there is a need for more investments to be pumped into community management schemes. The involvement of the public in the development of community management schemes is necessary to find a solution to the changing demand and supply.

The Impact of Perceived Benefits on Blockchain Adoption in Supply Chain Management

Globalization has prompted enterprises worldwide to increasingly seek the optimal supply chain configuration. However, outsourcing, shortened product life cycles, and a reduced supply base severely weaken supply chain risk tolerance. With the emergence of blockchain, enterprises see an opportunity to mitigate supply chain risks. The purpose of our research is to explore supply chain managers' intention to adopt blockchain technology from the perspective of supply chain risk management. Using a survey sample of 203 managers in China and the USA, we explored the impact of four perceived benefits of blockchain technology on supply chain risk resistance by extending the technology acceptance model. The results show that the traceability, transparency, information sharing, and decentralization of blockchain can enhance the perceived usefulness of blockchain in supply chain resilience and responsiveness, and the ability to withstand disruption risks and supply and demand coordination risks encountered in the supply chain, thus promoting the adoption of the technology. In addition, the relationships between supply chain resilience and blockchain technology adoption and between supply chain responsiveness and blockchain technology adoption are more salient for managers with high levels of uncertainty avoidance.

Update on Risk Criteria for Crude Oil Tanker Fleet

In recent years, the maritime trade of crude oil has suffered notable perturbations caused by the unbalanced relationship between supply and demand. The COVID-19 pandemic caused a drop in oil consumption in 2019, followed by a reduction in production in 2020. The seaborne transport of oil accounts for approximately 50–60% of all crude oil in world production. The crude oil market is a crucial regulator of the global economy and instabilities in this market have noticeable effects on collective risks. The immediate risks that the society see are the changes in the cost of living, which are followed by political uncertainties. Less visible are the risks that these uncertainties have on shipping companies and the level of management stability they have to maintain in order to keep seagoing safe. This paper presents an update on the overall state of risk management for the crude oil tanker fleet, evidenced by EMSA and other international marine organisations. The previous paper, entitled Safety Assessment of Crude Oil Tankers, which applied the methodology of the Formal Safety Assessment (FSA), was published in 2018 and covered the historical data related to the fleet size, accident reports, amount of oil spilled on sea and the economic value of the crude oil transport business. The particular focus of this paper is on the evolution of the risk acceptance criteria over the years and the difference in the predictions from 2018 to the present day. The effects of the pandemic on crude oil shipping are discussed through the changes in the risks. Three of them are analysed: PLL (potential loss of lives), PLC (potential loss of containment) and PLP (potential loss of property). The representation of the risk applies the F-N curves among the risk acceptance criteria lines observed for different tanker sizes. Among the three risks, the paper exposes the vulnerability of the loss of containment risk, where the strong economic impact of the oil trade outweighs the environmental concerns. In relation to the PLC, the paper proposes the approach of relating the oil spill acceptability with the spill quantity and ship revenue instead of to the cost of cleaning or the cost of environment recovery.

COVID-19 as a catalyst of food security crisis. whether the existing system of agriculture can remain the same

From 2019 to 2022, since the outbreak of the COVID-19 pandemic, the global percentage of hunger rose by 150 million people, which is 10% of the world population. At the same time, one-third of food is thrown away because it cannot reach the final consumer. Climate change, natural catastrophes, wars leading to humanitarian crises are the main and ongoing causes of hunger. COVID- 19 acted as an accelerator of processes that exacerbate the food security crisis, to which import-dependent countries are especially sensitive. Quarantine that was introduced as a tool to combat the spread of the COVID-19 acted as a catalyst of social, economic, political, ecological, and food crisis that is displayed in the global economic system and in agriculture - its subsystem. At first glance, the increase in the percentage of starving populations on the planet is explained by poverty and the inability to purchase basic food products;a rise in prices was caused by breaks in logistics chains, the increase in the price of energy carriers, and economic shifts caused by the lockdown. In practice, despite the constantly growing volumes of global production of agro-industrial products, the balance between demand and supply of products that ensure the world's food security has been disturbed. The research problem lies in the insufficient determination of intangible causes of hunger, other than those caused by poverty and social inequality. The aim of the research is to show the prospects of the aggravation the food security crisis due to excess of food demand over supply, and to propose theoretical ways out of the crisis. The quantitative method of panel data research was used to prepare the article. The visualization method was used to simplify the perception of the proposed array of information. It is possible to overcome such social problems as hunger, poverty, climate and ecology problems caused by the increase in the temperature on the planet's surface, ocean pollution, and soil degradation only through adaptation and achieving synergy between the planet's ecosystems. Agriculture as a main factor of food security should be transformed through implementing principles of climate-optimized agriculture and blue economy (use of ocean resources) as a source of "blue food" to achieve food sustainability.

Mapping research in logistics and supply chain management during COVID-19 pandemic

Supply chains constantly face new problems that go way beyond the traditional issues of supply and demand uncertainty, particularly due to the impact of worldwide disruptive events. This paper aims at mapping academic literature examining so far issues related to the impact on supply chains of the COVID-19 outbreak based on a thorough literature review of peer-reviewed papers published in 2020. Following criteria established by the systematic approach, we build a framework based on the most recent papers of the discipline to address major disruptions that challenge SCM operations. We consider features from individual organisations, characteristics of the whole supply chain, performance metrics for long-term sustainability, and attributes from external disruptions. We derive a list of topics that deserve further investigation such as collaboration, technology adoption and knowledge creation together with their diffusion, strategies to shape and promote awareness along supply chain stakeholders.

Global natural gas development trend and enlightenment

In 2021, the contradiction between natural gas supply and demand in various regions around the world was prominent caused by multiple factors, such as the reduced global COVID-19, slowly recovered world economy, resumed growth of energy consumption, intertwined geopolitical and financial risks, significantly risen and violently fluctuated energy prices. The global natural gas development trend is predicted by analyzing the development direction of the petroleum industry, natural gas supply and demand base level, trend of trade volume, and natural gas reserves distribution and output change. The results show that natural gas reserves are abundant in the world, and the investment in natural gas exploration and development has rebounded driven by the demand growth and price rise;The proportion of natural gas in the world energy consumption structure is increasing, which plays an important role in promoting the global energy transition;The global natural gas supply and demand shows a pattern of "tight balance”, in which the Asia Pacific is the major importer of natural gas, and it is expected that natural gas will surpass oil to grow to be the world's largest energy. In the future, it is suggested that China should actively adjust its energy strategy, enhance its linkage with international energy market, improve the energy prices monitoring and judgement mechanism, timely adjust its foreign strategic cooperation in energy business, increase domestic investment in natural gas exploration and development, enhance multilateral international energy cooperation, and stick to the bottom line of energy security, accelerate the construction of natural gas operation system integrating "reserve increase, supply security and price stabilization”, and improve the ability to respond to crises, so as to better cope with the challenges posed by global energy development and natural gas market fluctuations. Copyright © 2022, Petroleum Industry Press, PetroChina. All rights reserved.

Food Security and Agricultural Crises in a "Financialized Food Regime"

The paper explores the impact of finance's penetration into agriculture and the global food system. The authors analyze the causes of the recent global food crises, unveiling the key role played by financial speculation and explaining why this phenomenon is likely to affect food security more than the problems related to the supply and demand dynamics taking place in the "real economy". Financial markets, the authors argue, are engendering pricing mechanisms and dynamics of wealth distribution that have consequences on the agrarian structures, but also on everyday life of both producers and consumers. While creating new profit opportunities for speculators and the agribusiness, the penetration of finance into food systems increase uncertainty and imply new risks for local actors, to the point of compromising their capability to respond to exogenous shocks, such as the COVID-19 pandemic. In any case, to make sense of these phenomena they must be linked to the broader transformation of the global food system and to the long-term trajectories of capitalist development. This operation is here made with the support of the analytical tools provided by some approaches inspired by the world-system analysis, bringing to light the roots of what can be defined as a "financialized food regime" and discussing some of its important ecological and socio-economic contradictions.

Financial challenges of SMEs during COVID-19 crisis: the case of Split-Dalmatia County

The purpose of the paper is to find out how COVID-19 has affected the sector of SMEs, especially in terms of its access to finance. In doing so we hypothesize that problems arising from both supply side and demand side of the business, have additionally restrained SMEs' access to finance, thus putting their short-to-medium term position to a threat. Research methodology includes descriptive statistical analysis of the results of a company survey of Croatian enterprises with respect to their current access to finance and expectations for the future. The survey was carried out on a sample of 40 small and medium sized companies in Split-Dalmatia County. The findings show that companies do not perceive many of the business risks as particularly threatening to their businesses. Still, this survey reveals a presence of a series of risks closely related to the current situation caused by COVID-19. These include increasing production costs resulting from rising costs of labor, capital, raw materials and other inputs (e.g. transport and logistics services), followed by increasing tax burden and stagnating productivity. Together with increasing costs, a fall in demand on both domestic and foreign markets, as well as a resulting decrease in sales, announce further problems that call for a strong policy response in the future. The main contribution of the paper is the finding that besides the problem of access to finance, the COVID-19 crisis has revealed other serious obstacles for SMEs which threaten to endanger the market position and competiveness of small business in the long run. By far the most serious problems for Croatian SMEs are that of a structural nature which include increasing costs and decreasing productivity. This research has additionally accentuated some serious obstacles from external environment which threaten to restraint SMEs' capacity to restructure and keep their competitive edge.

Global evidence of the exposure-lag-response associations between temperature anomalies and food markets

Recent years have witnessed a landmark shift in global food prices due to the frequency of extreme weather events caused by temperature anomalies as well as the overlapping risks of COVID-19. Notably, the threat posed by temperature anomalies has spread beyond agricultural production to all aspects across food supply and demand channels, further amplifying volatility in food markets. Exploring trends in global food prices will give nations early warning signs to ensure the stability of food market. Accordingly, we utilize the Distributed Lag Non-Linear Model (DLNM) to simultaneously establish the exposure-lag-response associations between global temperature anomalies and food price returns in two dimensions: "Anomaly Degree" and "Response Time". Meanwhile, we also examine the cumulative lagged effects of temperature anomalies in terms of different quantiles and lag times. Several conclusions have been drawn. First, global food price returns will continue to decrease when the average temperature drops or rises slightly. While it turns up once the average temperature rises more than 1.1 degrees C. Second, major food commodities are more sensitive to temperature changes, and their price returns may also trend in a directional shift at different lags, with the trend in meat price being more particular. Third, food markets are more strongly affected in the case of extreme temperature anomalies. Many uncertainties still exist regarding the impact of climate change on food markets, and our work serves as a valuable reference for international trade regulation as well as the creation of dynamic climate risk hedging strategies.

PI control based on parameter space approach supported metaheuristic optimization algorithms and ANFIS in a natural gas combined cycle power plant

In this article, proportional‐integral (PI) control to ensure stable operation of a steam turbine in a natural gas combined cycle power plant is investigated, since active power control is very important due to the constantly changing power flow differences between supply and demand in power systems. For this purpose, an approach combining stability and optimization in PI control of a steam turbine in a natural gas combined cycle power plant is proposed. First, the regions of the PI controller, which will stabilize this power plant system in closed loop, are obtained by parameter space approach method. In the next step of this article, it is aimed to find the best parameter values of the PI controller, which stabilizes the system in the parameter space, with artificial intelligence‐based control and metaheuristic optimization. Through parameter space approach, the proposed optimization algorithms limit the search space to a stable region. The controller parameters are examined with Particle Swarm Optimization based PI, artificial bee colony based PI, genetic algorithm based PI, gray wolf optimization based PI, equilibrium optimization based PI, atom search optimization based PI, coronavirus herd immunity optimization based PI, and adaptive neuro‐fuzzy inference system based PI (ANFIS‐PI) algorithms. The optimized PI controller parameters are applied to the system model, and the transient responses performances of the system output signals are compared. Comparison results of all these methods based on parameter space approach that guarantee stability for this power plant system are presented. According to the results, ANFIS‐ PI controller is better than other methods.

Inventory systems with uncertain supplier capacity: an application to covid-19 testing

The COVID-19 pandemic has forced governments to impose crippling restrictions on the day-to-day activities of citizens. To contain the virus and lift these restrictions safely, policymakers need to know quickly where the virus is spreading. This has been possible only through widespread testing. Not long after starting largescale testing in the early stages of the pandemic and more recently with a surge of new variants, countries hit a roadblock—the shortage of swabs used in the testing kits due to disruptions in the supply chain caused by COVID-19. This disruption translates to a variable production capacity of the swab suppliers. As a result, when countries order swabs from a swab supplier, their order might not be fully satisfied. Hence, adopting a proper swab inventory management model can help countries better manage COVID-19 testing and avoid widespread shortages of testing supplies. By considering two different swab demand patterns (i.e., stationary and stochastic) and two different production capacity scenarios for the swab supplier (i.e., ample and variable production capacity), we develop four analytical models, in which we consider all combinations of the above demand and capacity scenarios, to derive the optimal swab-procurement policy for a country. Given the rapid change of COVID-19 infection cases and the limited planning period, countries should aim for reactive scheduling. Through a comprehensive numerical study, we also provide guidelines on how countries should optimally react to these changes in the supply and demand of swabs. The research implications for managing inventory with stochastic supplier capacity and uncertain demand in a finite time horizon extend well beyond the application to COVID-19 testing.

The supply and demand matching policy research of rural tourism under the background of rural revitalization: The case of Kunshan, Jiangsu Province

Rural tourism is a vigorous drive force to the development of rural economy, and an important power to lead the rural revitalization strategy in China as well. After the Pandemic of COVID-19, the demand for rural tourism products and quality continues to expand. However, during the rapid development, rural tourism showed mismatch between supply and demand. This paper took the case of Kunshan City in Jiangsu Province, based on the data of tourist market investment, using the IPA analytical method and the gap model of service quality, tried to find out the problems and countermeasures in re-matching of supply and demand in Kunshan's rural tourism industry, especially from the supply-side. This paper constructed the logical frame‐ work of supply-demand matching governance policy of rural tourism based on China's Rural Re‐ vitalization strategy. The research result can provide reference to the promotion of the quality for China's rural tourism development. (English) [ABSTRACT FROM AUTHOR] 乡村旅游是我国农村转型发展的重要驱动力，同时也是"乡村振兴”战略的引领力量。随 着疫情后客源市场对乡村旅游产品的需求不断扩大，对供给质量的要求不断提升，乡村旅游目的 地在快速开发的过程中逐渐暴露出一系列供需错配问题，制约了乡村旅游的进一步高质量发 展。将江苏省昆山市作为案例地，以游客市场调查数据为基础，采用IPA分析法和服务质量差距 模型，探查乡村旅游地供需错配现象，着重从供给侧明确了昆山乡村旅游供需错配的主要表现及 治理方向。文章将旅游地供需匹配治理逻辑与"乡村振兴”的目标要求融合，构建了基于乡村振 兴的乡村旅游供需匹配治理逻辑框架，并据此提出了昆山乡村旅游的治理思路。研究成果对推 进我国乡村旅游的高质量建设与发展具有一定参考意义。 (Chinese) [ABSTRACT FROM AUTHOR] Copyright of World Regional Studies is the property of World Regional Studies Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Shifts in vegetable supply and demand from 2010-2019 to the 2020-2021 COVID-19 period at the Tokyo Metropolitan Central Wholesale Market

The COVID epidemic affected Japan in 2020 and 2021. Here, I analyzed how vegetable supply and demand in this period differed from that in the previous 10 years to 2019. Of the vegetables shipped to the Tokyo Metropolitan Central Wholesale Market, 144 vegetables are analyzed monthly, and the shifts in demand, supply, and prices of 1657 items are confirmed. The results showed that the patterns of shift in supply and demand of vegetables differed by item and month and were very diverse. However, the overall trend was that demand and supply were declining, and that tendency became even stronger during the COVID epidemic in the last 2 years of the analysis. Demand for major vegetables, the supply of which the government is trying to stabilize, increased slightly during the epidemic, because these vegetables were likely to have remained in high demand in people's homes. In contrast, the demand for items with a large import ratio and savory herbs and garnishes declined, because these items were likely to have been in high demand for processing or by restaurants, and these industries declined during COVID-19. Seasonally, there were many items for which the demand declined from spring to summer. Despite this decline in demand, for many items the prices did not decrease markedly. This price maintenance was due to reduced supply, which likely led to a degree of economic damage to suppliers.

Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks

Finding items with potential to increase sales is of great importance in online market. In this paper, we propose to study this novel and practical problem: rising star prediction. We call these potential items Rising Star , which implies their ability to rise from low-turnover items to best-sellers in the future. Rising stars can be used to help with unfair recommendation in e-commerce platform, balance supply and demand to benefit the retailers and allocate marketing resources rationally. Although the study of rising star can bring great benefits, it also poses challenges to us. The sales trend of rising star fluctuates sharply in the short-term and exhibits more contingency caused by some external events (e.g., COVID-19 caused increasing purchase of the face mask) than other items, which cannot be solved by existing sales prediction methods. To address above challenges, in this paper, we observe that the presence of rising stars is closely correlated with the early diffusion of user interest in social networks, which is validated in the case of Taocode (an intermediary that diffuses user interest in Taobao). Thus, we propose a novel framework, RiseNet, to incorporate the user interest diffusion process with the item dynamic features to effectively predict rising stars. Specifically, we adopt a coupled mechanism to capture the dynamic interplay between items and user interest, and a special designed GNN based framework to quantify user interest. Our experimental results on large-scale real-world datasets provided by Taobao demonstrate the effectiveness of our proposed framework.

The impact of big data analytics capability on green supply chain integration: an organizational information processing theory perspective

PurposeDespite big data analytics capability (BDAC) has received extensive attention, how and under what conditions BDAC influences green supply chain integration (GSCI) remains unclear. This study draws on organizational information processing theory to examine the mediating effect of supply chain visibility in the BDAC–GSCI link and the moderating effects of flexibility- and control-oriented culture.Design/methodology/approachThe authors examined the research model using two-waved survey data gathered from 317 Chinese firms. The authors employed hierarchical regression analysis and bootstrapping method to test hypotheses and assessed the robust of theoretical model using structural model.FindingsThe authors found that BDAC facilitates all three dimensions of GSCI. Supply visibility mediates the relationship between BDAC and all three dimensions of GSCI, whereas demand visibility only mediates the positive effects of BDAC on green internal and customer integration. In addition, control-oriented culture strengthens the positive impacts of BDAC on supply and demand visibility, while the moderating effects of flexibility-oriented culture are insignificant.Originality/valueThis research contributes to opening the "black box” of how BDAC affects GSCI and provides novel guidelines for firms enhancing the degree of GSCI.