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This study explores the influence of the Top Management Team (TMT) social capital on business model innovation in business ecosystems.

This study examines the impact of internal and external TMT social capital on enterprises’ business model innovation, explores the relationship between internal and external TMT social capital, and investigates how business ecosystem health moderates the relationship between external TMT social capital and enterprises’ business model innovation. These hypotheses are proposed and tested using a hierarchical regression analysis with data from 168 Chinese firms.

First, both internal and external TMT social capital exert a significantly positive influence on an enterprise’s business model innovation. Second, internal TMT social capital positively contributes to the development of external TMT social capital, affecting business model innovation. Finally, the moderating effect of business ecosystem health on the relationship between external TMT social capital and business model innovation depends on the dimensions. Specifically, the productivity of the business ecosystem negatively moderates this relationship, whereas the niche creation capability of the business ecosystem has a positive moderating effect.

These findings enrich prior research on business model innovation within the business ecosystem, thoroughly exploring the critical role of TMT social capital. This study reveals the diverse impacts of internal and external TMT social capital on business model innovation and the intricate relationship between these elements. Furthermore, it emphasizes that the success of enterprise’s business model innovation within a business ecosystem depends on the alignment and adaptation to dynamic ecosystem conditions. By presenting these insights, this study provides valuable practical implications for enterprises aiming to cultivate social capital within business ecosystem to facilitate business model innovation.

This paper aims to identify the relationships of both organizational isomorphism and knowledge search with the innovation performance of cluster enterprises. It also specifies the mechanism by which organizational isomorphism affects innovation performance, through knowledge search.

Firm-level data were collected with questionnaires distributed to cluster enterprises in Zhejiang Province, China, which produced 165 usable responses for the analysis. Both multiple regression analyses and structural equation modelling were used to test the hypotheses.

Normative isomorphism and mimetic isomorphism have inverse U-shaped effects on the innovation performance of cluster enterprises, as does exploratory knowledge search. Exploitative knowledge search and the balance between two types of knowledge search have positive effects on the innovation performance of cluster enterprises; exploratory and exploitative knowledge searches exert partial mediation effects between the organizational isomorphism and innovation performance of cluster enterprises. The mediating effect of knowledge search transforms the inverse U-shaped effect of normative isomorphism and mimetic isomorphism on innovation performance into a positive effect.

This study provides new insights into the effects of organizational isomorphism on innovation performance by showing the indirect influence of organizational isomorphism in clusters. The study proposes a strategic logic of moderate isomorphism, clarifies the innovative effect of different knowledge search modes and reveals the construction and management mechanisms of organizational isomorphism and knowledge search strategy of firms in clusters.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This paper identified how top management team social capital can impact the level of business model innovation. Social capital is something businesses must cultivate for good performance.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study aims to investigate the sealing performance of a novel ribbed oil-slinging ring composite seal (ROSRCS) for the axle end of train gearboxes. The ROSRCS design incorporates added ribs and an inclined outer edge to enhance the sealing mechanism and reduce oil leakage.

Computational fluid dynamics simulations were used to analyze the leakage characteristics of ROSRCS under varying angles, outer edge inclinations and rib numbers and heights. The sealing performance was compared to a traditional oil-slinging ring composite seal (OSRCS). Key parameters such as oil leakage rate, turbulence dissipation intensity and jet strength were evaluated.

Results indicate that ROSRCS reduces the oil leakage rate by 5.7% compared to OSRCS. At a slinger ring inclination of 35°, the turbulence dissipation center in the ROSRCS flow field shifts toward the inlet, increasing the maximum turbulence dissipation intensity by 22.56%. A proper outer edge inclination enhances jet intensity, strengthening turbulence dissipation by up to 9.21%. While adding ribs may generate negative pressure zones, strategic rib configurations improve axle-end sealing performance by modifying the number, position and intensity of vortices.

This research presents a refined composite seal design that enhances the sealing efficiency of train gearbox axle ends, demonstrating improved oil retention through innovative geometric modifications. The findings contribute to the development of more efficient sealing technologies in high-speed train applications.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0370/

In order to discover a new adsorbent that can be used to purify dye wastewater in the textile and apparel industry, a novel type of graphene oxide/gluten composite material using an improved acid bath coagulation method was synthesized, which can remove methylene blue in an aqueous environment.

After experimentally compounding different ratios of graphene oxide and gluten, the graphene oxide/gluten composite material with 20% graphene oxide content and superlative adsorption effect was chosen. The synthesized material was characterized by different techniques such as FT-IR and SEM, indicating the microstructure of the material and the success of the composite. Various factors were considered, namely, the influence of temperature, dosage, pH and contact time. The isotherms, kinetics and thermodynamic parameters were successively discussed.

The qmax value of 214.29 mg/g of the material was higher compared to the general sorbent, thus, the graphene oxide/gluten composite material was a suitable sorbent for methylene blue removal. Overall, the graphene oxide/gluten composite material can be considered as an effectual and prospective adsorbent to remove methylene blue in the textile and apparel industrial effluent.

Graphene oxide is a potentially excellent sorbent. However, the high dispersibility of GO is detrimental to adsorption, it disperses rapidly in an aqueous solution making separation and recovery difficult. The high load capacity and recyclability of gluten as a colloid make it a suitable carrier for fixing GO. Studies on the combination of GO and GT into composite adsorption material and for the removal of dyes from dyeing wastewater have not been reported. The composite material research on GO and GT can provide new ideas for the research of these kinds of materials and contribute to its wider and convenient application in wastewater treatment.