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The purpose of this paper is to study the effect of nano polypyrrole-modified boron nitride on the performance of phosphate film.

By adding polypyrrole-modified boron nitride to the phosphate solution, a phosphate film is formed on the metal surface, improving its corrosion resistance. The effect of different concentrations of polypyrrole-modified boron nitride on the corrosion resistance of Q235 carbon steel surface was studied. The corrosion resistance of the phosphate film was evaluated using the copper sulfate drop test. The electrochemical corrosion performance of the phosphate film was assessed using the weak polarization curve method and electrochemical impedance spectroscopy. The surface of the samples was characterized using scanning electron microscopy and X-ray diffraction analysis.

The results show that samples containing polypyrrole-modified boron nitride have a denser and more uniform phosphate film. When the concentration of polypyrrole-modified boron nitride is 0.6 g/L, the drop time of copper sulfate on the formed phosphate film can reach 219 s, which is a 189% increase compared to the performance of the sample without the additive. The current density is 1.06 × 10⁻⁶ A/cm² lower than that of the pure phosphate film, indicating the best corrosion resistance. Polypyrrole-modified boron nitride effectively promotes the formation of the phosphate film.

This study used the modification of phosphate solution using nanoparticles to investigate the influence of different nanoparticle concentrations on the phosphate film. The corrosion resistance of the phosphate film was enhanced, providing a method and theoretical guidance for the improvement of phosphate solution formulation.

Drawing on the “Resource- Capability – Competitive advantage” framework within Natural Resource-Based View, this study is purposed to address problems of manufacturing companies “turning into the green” issues, providing references for manufacturing companies to achieve green competitive advantage via internal motivation and identity perspectives.

This study collected survey data from 112 Chinese manufacturing listed enterprises from the Shanghai Stock Exchange, and obtained 418 questionnaires. Following an empirical design, hierarchical regression analysis and Bootstrapping analysis were applied to examine these hypotheses.

Results show that green innovation behaviors positively mediate the positive relationship between organizational environmental identity and green competitive advantage. Furthermore, slack resource not only positively moderates the interaction effect between organizational environmental identity and green product innovation behaviors, but also moderates the mediation role of green product innovation behavior in the main effect.

The study is limited to the data samples and dynamic evolution between variables. More longitudinal designs and diverse enterprise fields will be considered in future.

The findings provide guidance for manufacturing enterprises to gain green competitive advantage in green manufacturing era from identity value origins. Moreover, the results provide practical suggestions for manufacturing enterprises to enhance green innovation behaviors and integrate useful but slack resources.

The findings provide implications for manufacturing industry to increase both the awareness of organizational environmental identity and green innovation behaviors, all of which helps promote the corporate environmental responsibility.

The study breaks the limitation of the existing literature which focuses on the influence of external push factors (e.g. environmental regulation), and bring new visions in constructing green competitive advantage in green manufacturing era, not only extending the identity theory and upper echelon theory, but also enriching the current studies on green management. Also, these findings provide deeper and new insights into risks and uncertain features of green manufacturing era, analyzing how polluted manufacturing enterprises obtain green competitive advantages through the mediating role of green innovation behaviors and the moderating role of slack resource.

Customer resource allocation efficiency (RAE) refers to the ability of customers to use, allocate and manage their available resource inputs to produce valuable outputs. This study draws on organizational entrainment theory (OET) to examine how the implementation of supplier digitalization affects customer RAE through supply chain entrainment.

Based on supplier and customer data disclosed by Chinese A-share listed firms from 2009 to 2022, this study uses fixed effects panel data models to empirically examine the impact of supplier digitalization on customer RAE and the mechanistic role of supply chain entrainment.

The results show that supplier digitalization significantly increases customer RAE. It improves RAE by influencing the three dimensions of supply chain entrainment (the bullwhip effect, inventory management coordination and risk management coordination).

This study provides important insights into how managers can adapt the external digital environments and maintain synchronous operations with their supply partners. Our findings demonstrate how managers can fully leverage the advantages of digitalization of their suppliers to improve their own RAE through supply chain entrainment strategies.

This study introduces the concept of supply chain entrainment to reveal how firms optimize their own resource allocation strategies and achieve efficient operations. Our research enriches the understanding of supply chain governance in the digital age and contributes to the literature on supply chain digitalization.

The survival of companies today hinges on their adaptability and flexibility, with digital transformation (DT) and organizational slack (OS) playing crucial roles. Despite their recognized importance, these factors are often studied separately. This study aims to explore how OS facilitates DT and evaluate their synergies and trade-offs to improve performance.

Using data from the European Manufacturing Survey, structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA), we investigate causal relationships and possible combinations between different dimensions of OS and DT that contribute to business performance.

We confirmed the positive effect of OS and DT on business performance, highlighting the importance of organizational over technological factors. While not definitively establishing OS as a precursor to DT, our findings underscore the need for human and operational slack to improve performance, especially in less technology-intensive contexts.

Our findings evidence that decision-makers should integrate OS with DT initiatives to improve the firm’s competitiveness. However, it is worth noting that while OS seems essential in low-tech shopfloors, its importance is lower in high-tech environments. Furthermore, within the possible combinations, managers should promote operational slack and digitalization, as it seems fundamental to improve business performance.

This article contributes to the management field in three ways. First, it clarifies controversies by providing evidence of the positive roles of DT and OS as drivers of competitiveness for manufacturing firms. Second, we verify that OS is not directly linked to DT, challenging existing assumptions. Third, it investigates the combinations of OS and DT that drive business performance improvement, emphasizing their synergies and trade-offs.

The aim of this paper is to review the literature on the prediction of cutting tool life. Tool life is typically estimated by predicting the time to reach the threshold flank wear width. The cutting tool is a crucial component in any machining process, and its failure affects the manufacturing process adversely. The prediction of cutting tool life by considering several factors that affect tool life is crucial to managing quality, cost, availability and waste in machining processes.

This study has undertaken the critical analysis and summarisation of various techniques used in the literature for predicting the life or remaining useful life (RUL) of the cutting tool through monitoring the tool wear, primarily flank wear. The experimental setups that comprise diversified machining processes, including turning, milling, drilling, boring and slotting, are covered in this review.

Cutting tool life is a stochastic variable. Tool failure depends on various factors, including the type and material of the cutting tool, work material, cutting conditions and machine tool. Thus, the life of the cutting tool for a particular experimental setup must be modelled by considering the cutting parameters.

This submission discusses tool life prediction comprehensively, from monitoring tool wear, primarily flank wear, to modelling tool life, and this type of comprehensive review on cutting tool life prediction has not been reported in the literature till now. The future suggestions provided in this review are expected to provide avenues to solve the unexplored challenges in this field.

Digital technologies are essential for improving efficiency and unlocking new opportunities in various domains. The purpose of this study is to assess whether digital technologies can ameliorate servitization among manufacturing firms via the interaction of organizational slack and research and development (R&D) intensity.

Drawing on resource-based and service-dominant logic, the study employs a deductive approach and gathers empirical evidence from 1,929 listed A-shares manufacturing firms in the top-seven China mainland industrial provinces spanning the period 2012–2021. It used fixed-effect logistic regression techniques while controlling for various factors to analyze the relationship between digital technologies and manufacturing firm servitization.

The findings revealed that digital technologies significantly ameliorate manufacturing firms' servitization. Moreover, the study uncovers the contingent nature of this relationship, demonstrating that high levels of both internal and external slack, which provide flexibility and support, intensify the direction of digital technologies towards servitization. Additionally, R&D intensity reflects the firm's commitment to innovation, thereby enhancing synergistic effects in the relationship.

This study contributes robust and comprehensive empirical evidence that validates and establishes a clear baseline relationship reflecting the most current digital technology landscape and its implications for manufacturing firms servitization. Moreover, it provides a more patterned understanding of how internal and external slack typologies and R&D intensity contextualize our study’s findings. Additionally, it demonstrates how our theoretical synthesis advances firms’ strategic shifts towards service-oriented business models through digital technologies.

Companies are actively pursuing digital transformation to achieve sustainable development; however, how digital transformation can help manufacturing firms improve carbon performance remains unclear. Based on an integrated perspective of dynamic capability theory and practice-based view, this study examines the relationship between digital transformation and carbon performance by exploring the mediating effect of supply chain intelligence integration and the moderating role of business model innovation.

Using data collected from 297 manufacturing firms in China, this study employs hierarchical regression analysis to test the research hypotheses.

The findings demonstrated a significant positive association between digital transformation and carbon performance, and this relationship is mediated by all three dimensions of supply chain intelligence integration. Furthermore, business model innovation negatively moderates the relationships between digital transformation and both supplier intelligence integration and competitor intelligence integration.

The study provides empirical evidence that manufacturing firms can achieve greater benefits from digital transformation by aligning it with business model innovation and systematically promoting supply chain intelligence integration.

The emergence of blockchain technology has the potential to bring about transformative changes in various industries, with supply chain management being a prominent domain of application. This study investigates the strategic performance benefits of using blockchain-enabled traceability systems for improving supply chain quality management.

The present study employed structural equation modelling to analyse data obtained from 200 practitioners working in Indian pharmaceutical companies.

The results reflect that blockchain-enabled traceability systems have a positive impact on multi-tier quality governance (MQG); supply chain process alignment and coordination (SPAC) and quality centric collaboration (QCC); all of which are the facets of supply chain quality management. Furthermore, when examining the impact of blockchain-enabled traceability systems on firm quality performance and economic performance, the mediation role of SPAC and QCC was confirmed, whereas the mediation role of MQG could not be established.

The study’s empirical insights offer practical guidance for pharmaceutical manufacturers, regulators and other industry participants seeking to harness the potential of blockchain technology for creating resilient and transparent supply chains that uphold product quality and safety standards.

These findings underscore the significance of blockchain-enabled traceability systems in revolutionizing supply chain quality management practices to achieve superior strategic performance in the pharmaceutical sector.

Digital transformation (DX) is advancing in the post-pandemic era, yet regional disparities remain pronounced. This uneven distribution may be attributed to cities’ doing business environment. As the doing business environment comprises various components, we aim to explore how these components interact to affect local firms' DX, thereby identifying which configurations of the doing business environment contribute to firms' DX.

The doing business environment in our study contains seven components: public services, government, legal, innovation, market, human resources and financial services environments. We adopt a fuzzy-set qualitative comparative analysis approach to determine the necessary and sufficient conditions for firms' high-level DX. The sample consists of enterprises listed on the China Science and Technology Innovation Board.

Firstly, a single doing business environment component is unnecessary for firms to produce a high- or non-high-level DX. Secondly, four configurations of the doing business environment explain firms' high-level DX of three general types: doing business environment configurations (1) dominated by the cost hypothesis, (2) synergised by the cost and resource hypotheses and (3) dominated by the resource hypothesis. Thirdly, the configurational paths generating firms’ high- or non-high-level DX are asymmetric and only one doing business environment configuration will lead to firms' non-high-level DX.

This study presents a ground-breaking exploration of the mechanisms driving firms' DX in terms of the city-level doing business environment and its dual functions. Additionally, we elucidate the reasons for the uneven regional distribution of DX development.

This study examines the impact of climate risk perception on corporate environmental, social and governance (ESG) performance from a microfirm perspective.

Using a sample of Chinese listed companies from 2009 to 2021, we constructed corporate climate risk perception indicators based on the Management Discussion and Analysis (MD&A) in the annual reports of the companies, and analyzed it using ordinary least squares regression.

The results show that climate risk perception improves corporate ESG performance by encouraging green innovation. Heterogeneity analysis suggests that the greater the magnitude of climate risk shocks to the firms, the stronger the risk coping ability and the weaker the environmental regulation, the more pronounced the improvement of climate risk perception on corporate ESG performance. Furthermore, economic consequence analysis shows that the enhancement effect of climate risk perception on corporate ESG performance contributes to increasing corporate value.

This study emphasizes the significance of corporate climate risk perception in enhancing ESG performance. It provides a theoretical basis for enterprises to respond to climate risk and sustainable development.