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The purpose of this study is to investigate the impact of big data (BD) analytics capabilities (BDACs) on green supply chain integration (GSCI) and green innovation (GI) in the context of a developing country, Jordan. In addition, the mediating effect of GSCI on the relationship between BDAC and GI is investigated.

Data collection was carried out through a survey with 300 respondents from food and beverages manufacturing firms located in Jordan. Partial least squares-structural equation modeling (PLS-SEM) technique was applied to analyze the collected data. Natural resource-based view (NRBV) theory was the adopted theoretical lens for this study.

The results revealed that BDAC positively and significantly affects both GSCI and GI. In addition, the results demonstrated that GSCI positively and significantly affects GI. Further, it is also found that GSCI positively and significantly mediates the relationship between BDAC and GI.

This study developed a theoretical and empirical model to investigate the relationship between BDAC, GSCI and GI. This study offers new theoretical and managerial contributions that add value to the supply chain (SC) management literature by testing the mediation model in food and beverages manufacturing firms located in Jordan.

This study explores the antecedent configurations shaping ambidextrous environmental strategy (AES) and the subsequent performance outcomes. The lack of literature from the configurational perspective and inconsistent performance results suggest that this study has significant implications for practitioners, policymakers and the public. Therefore, this study aims to investigate how different antecedent conditions interact to shape AES and subsequent performance outcomes.

To achieve the research aims, the current research utilize research techniques based on technology–organization–environment framework and configurational perspective. This study collects data from 317 Chinese manufacturing enterprises and tests the theoretical framework using fuzzy set qualitative comparative analysis and propensity score matching.

Perceived institutional pressure, green supply chain integration and digital technology adoption form four paths that lead to the existence of AES. There are four sets of replaceable conditions between distinct paths. In addition, except for configuration P3, all other configurations promote environmental, operational and financial performance.

Our results provide new insights for enterprises to shape AES and achieve multiple performances, and new ideas for promoting environmental policies and public environmental awareness.

This study adds literature on AES and confirms multiple drivers, revealing their interaction mechanisms and key antecedent conditions. In addition, this study promotes the performance practice of AES by examining different AES configurations that achieve triple performance and insignificant operational performance.

Based on upper echelons theory and social contagion theory, we investigate how environmental leadership affects GIC via green human resource management (GHRM) and examine the moderating role of environmental climate.

We conduct hierarchical regression and use the bootstrap method to analyze the two-waved data from 317 Chinese manufacturers in order to verify the hypotheses.

The results indicate that GHRM mediates the impacts of environmental leadership on green human capital, structural capital and relational capital. In addition, environmental climate strengthens the positive impact of environmental leadership on GHRM.

Our study enriches the literature on GIC by uncovering the “black box” between environmental leadership and GIC, providing a logical framework opposite to mainstream GIC research, and expanding the boundary condition for GIC accumulation. This study provides more logical paths for enterprises and governments to increase the accumulation of GIC and promote green intellectual economy development.

The existence of the advertising delay effect and its impact on supply chain operations have been demonstrated in the current study. Therefore, this study develops a timely inventory control strategy for the fresh produce supply chain to address the advertising delay effect in the fresh produce supply chain.

This study proposes a game model based on the Nerlove-Arrow time delay differential equation and Pontryagin's maximum principle. Through comparative analyses of the optimal equilibrium strategies, the authors compare the optimal equilibrium strategies, product goodwill and optimal inventory trajectories for suppliers and retailers under secondary replenishment decisions and decentralized decisions.

The authors find that (1) Only when the sales cycle meets certain conditions can the overall profit of the supply chain under the secondary replenishment decision be greater than that under the decentralized decision. As the price markup coefficient increases, the total profit of the supply chain first increases and then decreases. (2) With the increase in the delay time, the replenishment quantity during the initial period gradually decreases. After the delay time elapses, the inventory depletion rate under secondary replenishment decisions is faster than that under decentralized decision-making. (3) Although there is a continuously increasing maximum value of product goodwill with the increase in delay time, it becomes difficult to achieve this value for longer delays.

The authors’ findings provide a theoretical basis for supply chain members of fresh agricultural products to select replenishment and inventory control strategies when adopting different levels of delay in advertising marketing.

Firstly, this paper explains the impact of advertising delay effect on fresh produce supply chain from a dynamic perspective, and secondly, it provides guidance on advertising formulation and inventory replenishment for fresh produce retailers under the influence of advertising delay effect.

The water-lubricated hydrodynamic herringbone groove journal bearing (HGJB) is capable of running at high speed. However, when running at a low speed, it suffers from a low load-carrying capacity due to the weak hydrodynamic effect. To overcome this problem, this study proposes a hybrid water-lubricated HGJB and aims to investigate its dynamic characteristics.

A hybrid lubrication model applicable to the hybrid water-lubricated HGJB is established based on the boundary fitted coordinate system, which considers the turbulent, thermal and tilting effects, and the finite difference method is used to calculate the dynamic characteristics of the hybrid water-lubricated HGJB.

The result shows that the hybrid HGJB has larger dynamic coefficients and better system stability compared with the hydrodynamic HGJB when running at low speed. Furthermore, the stiffness of hybrid HGJB are mainly governed by the hydrodynamic effect rather than the hydrostatic effect when running at high speed.

The proposed hybrid water-lubricated HGJB shows excellent dynamic characteristics at either low speed or high speed; and the hybrid water-lubricated HGJB has a large load-carrying capacity when running at low speed and has a good dynamic stability when running at high speed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0233/

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

The purpose of the study is to propose a new perspective to explain how China's rapid growth in patenting is partially driven by corporate strategic patenting to influence local governments. The authors highlight the role of strategic patenting and local government-business relations in creating the gap between the patent boom and underlying technological progress in China.

The authors investigate the relationship between local government-business relations and corporate strategic patenting behaviors, measured as a higher ratio of patent filings to patent awards, by collecting data from three successive NADS surveys of government-business relations in 292 Chinese municipalities, paired with detailed patenting and subsidy data of 3,756 publicly listed corporations obtained through text mining.

The authors find that, while R&D investment and patent subsidies do drive corporate patenting, firms in jurisdictions with lower-quality government-business relations are more likely to engage in strategic patenting. Moreover, the negative impact of government-business relations on strategic patenting is moderated by political connections, as the strategic patenting of firms without political connections is more sensitive to government-business relations. The authors further show that firms obtain significant benefits from patenting in the form of additional subsidies from local innovation and industrial policies in the years following.

Rolling back patent subsidies will reduce strategic patenting to a limited extent. The local governments in emerging markets need to increase the capacity to implement industrial policy and provide market-based opportunities for firms to access innovation inputs.

The authors provide an updated and fresh perspective to understand the phenomenon of China's patent boom by showing that patenting can be driven by corporate strategies to adapt to local institutions and influence government policy. The authors extend the analysis of strategic patenting to emerging markets.

This study aims to (1) validate the effectiveness of customer integration in enhancing firms’ green innovation and (2) explore the respective impacts of regulatory pressure and market changes on the effectiveness of integration mechanisms, thereby identifying the optimal integration outcomes for firms across different contexts.

Utilizing an integrated theoretical framework based on the extended resource-based view (ERBV) and contingency theory, this study examines the complex interactions among customer integration, regulatory pressure, market changes and green innovation. The analysis is based on a dataset of 293 responses from manufacturing firms in mainland China. Hierarchical regression analysis was employed to rigorously test the proposed hypotheses.

The key outcomes of this research are summarized in two major findings: (1) integrating customers into a firm’s processes meaningfully boosts green innovation initiatives and (2) market dynamics have been found to amplify the positive impact of customer integration on green innovation, whereas regulatory pressure significantly and negatively moderates this relationship.

This study uniquely integrates multiple theoretical perspectives, providing a richer understanding of how various contextual factors influence the relationship between customer integration and green innovation. These findings contribute original insights to the literature, highlighting how different contextual factors interact with customer integration and offering practical insights for firms to make strategic decisions in diverse contexts.

In the dynamic landscape of 2023, global challenges are amplified by escalating conflicts and the COVID-19 aftermath. Developing nations like Vietnam face a critical juncture, requiring diversified economies for enhanced livelihoods and poverty reduction. However, this growth necessitates increased energy consumption, potentially escalating carbon emissions. Green innovation (GI) emerges as a beacon of hope, offering products and services designed for a minimal carbon footprint. Beyond socio-economic advancement, GI aligns with sustainable development goals. This study aims to  examine the influence of knowledge management (KM) and digitalization (DG) on GI, particularly in sustainable competitive advantage.

Using structural equation modeling and drawing upon a survey administered to 301 Vietnamese enterprises.

The findings illuminate diverse underpinnings between green product and process innovation, unravel the intricate relationship between KM, DG and GI, and provide crucial insights for firms seeking sustainable competitive edges.

This multidimensional approach significantly enriches the understanding of these pivotal elements in contemporary business landscapes.

Companies rely on supply chain robustness and resilience to maintain their competitive advantage despite disruptions. The study examines how organizations can orchestrate employee empowerment, digital transformation technologies, and trust to develop supply chain robustness and resilience capabilities.

A cross-sectional survey design is used to test the study hypotheses. Data are collected from international and domestic organizations operating in the Netherlands, Belgium, and Luxemburg using an online survey, and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM).

Digital transformation tools contribute to supply chain robustness and resilience in different ways. Digital transformation tools and employee empowerment contribute to the development of a data-driven culture and thereby to supply chain robustness. Digital transformation tools also contribute to increased supply chain visibility. This in turns strengthens trust relationships with suppliers, contributing to supply chain resilience.

The study extends dynamic capability theory and organization information processing theory by demonstrating how investments in assets such as digital technologies can contribute to increasing an organization’s information processing capability directly, by building vertical information systems, but also indirectly, by contributing to the development of lateral relations.