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Computer tomography (CT) is widely used in engineering applications, allowing for precise structural analysis of materials and components, enabling the measurement of internal properties and features, which is crucial for assessing their quality and durability. Therefore, the purpose of this study is to analyze the fatigue fracture surface features of titanium alloy (Ti-6Al-4V) under different loading configurations and structure orientations using computational micro-tomography.

In this work, the specimens were fabricated by selective laser melting (SLM) and subjected to fatigue tests to analyze the effects of different printing parameters on mechanical properties and microstructural features. The comprehensive methodology included metallographic testing, fatigue life testing, fractographic analysis and CT analysis, followed by microhardness measurements, providing a detailed assessment of internal defects and their impact on fatigue performance.

The fatigue test results showed better fatigue life for samples printed with Y orientation followed by X and Z orientation. The measurement values were fitted to obtain mean variable values of A as 6.522, 10.831 and 6.747 and values of m as −0.587, −2.318 and −0.771 for samples printed with X, Y and Z orientation for the Basquin’s equation to determine fatigue life. CT analysis revealed that the mean equivalent defect diameters were 0.0506, 0.0496 and 0.0513 mm and mean defect volume of 0.000714, 0.000467 and 0.000534 mm³ for X, Y and Z orientation samples, respectively.

The novel aspect of this study is to investigate the effect of extreme SLM process parameters on the durability of the material subjected to complex multiaxial loading conditions, including nonproportional fatigue loading.

This study aims to investigate the impact of sustainable supply chain practices on sustainability performance in North American and Canadian firms in a business-to-business (B2B) context, specifically focusing on the mediating role of emerging technologies. It aims to deepen the understanding of this complex relationship, contributing to both theoretical knowledge and practical applications.

This study collected data from supply chain managers in the USA and Canada using a mixed-methods approach that includes partial least squares structural equation modeling (PLS-SEM), necessary condition analysis (NCA) and importance-performance map analysis (IPMA). PLS-SEM was utilized to model the relationships between sustainable practices, emerging technologies and sustainability performance. NCA identified the essential conditions required for sustainability performance, while IPMA was used to assess the importance and performance of different constructs, helping to pinpoint areas where the managerial focus can yield the most significant improvements.

This study reveals that sustainable supply chain practices (SSCP) alone do not directly lead to enhanced sustainability performance. SSCP includes product design, procurement, investment recovery and social sustainability. Sustainability performance includes economic, environmental and social performance. Instead, adopting specific emerging technologies, particularly artificial intelligence, wearable devices and virtual reality, is crucial. A significant threshold identified is these technologies’ 80% adoption rate for substantial performance improvements. Furthermore, this study distinguishes the varying impacts of different technologies on economic, social and environmental aspects of sustainability.

This research offers new insights by showing that emerging technologies fully mediate the relationship between SSCP and performance. It expands on existing literature by detailing the specific impacts of various technologies, moving beyond the generalized approach seen in prior research. Specific impacts of emerging digital technologies on SSCP and performance remain underexplored in a B2B environment, and this research aims to address this gap.

Temporal leadership is a new construct that predicts team outcomes. This study examines the mediating role of shared temporal cognitions and the moderating role of time pressure in the relationship between temporal leadership and project success within sustainable construction projects.

The multi-source and multi-wave data were collected via self-administered questionnaires from teams working on sustainable construction projects. The direct and mediating hypotheses were tested using multi-level structural equation modelling, while moderated mediation hypotheses were examined by applying the bootstrap method using SPSS Process Macro.

The results showed that temporal leadership enables project success via shared temporal cognitions. Temporal leadership is most beneficial for facilitating project success via shared temporal cognitions when teams experience high time pressure.

This is the first study examining shared temporal cognitions as a mediator of the relationship between temporal leadership and project success. Also, this is the first study that considered time pressure as a boundary condition that influences the relationships between temporal leadership, shared temporal cognitions and project success within sustainable construction projects. The study provides valuable advice to project managers and project-based construction organizations about using and managing time within projects.

Sequel advertisements, although used often in practice, are not well studied in literature. This study aims to define sequel advertisements, investigate their effectiveness on customer attitudes towards ads/brands and identify key elements leading to their effectiveness.

The authors first conduct a field study using Facebook data to show that sequels are more effective than non-sequels and repeat ads. Study 2 experimentally tests recall and brand attitudes of sequels over new advertisements, Study 3 tests the effectiveness of different character retention and plot extension variations in sequels and Study 4 experimentally establishes the cognitive path that leads to greater effectiveness of sequel advertisements.

Sequel advertisements are more effective on consumer recall and brand attitudes as compared to new or repeat advertisements, with message format of the first advertisement moderating the effectiveness of the sequel. Consumers’ recognition of the prior-sequel connection mediates the effectiveness of the sequel advertisement. Plot extension with character retention is the most effective sequel advertising strategy.

This research opens opportunities for research on the effectiveness of sequels across different media formats/product categories and sequential ads.

The findings suggest that managers can profitably adopt a strategy of narrative ad followed by a sequel that extends the plot while retaining the characters.

The authors define sequel advertisements, describe the process mechanisms leading to greater effectiveness of sequels and identify superior sequel advertising strategies.