Search results

This paper aims to examine how the number of short videos posted and the number of influencers employed, two important strategies in short video marketing, affect consumer behavior and how price discounts moderate the effects of influencer endorsement on consumer browsing and purchasing behavior.

Drawing on the literature on influencer endorsement, this study used an ordinary least square model to empirically examine the two effects of endorsement strategies in increasing product traffic and sales for consumers at a short video app, Douyin (TikTok).

The results show that the number of short video ads produces the classic inverted U-shape for traffic and sales, and both effects were strengthened under a high discount condition. Whereas the number of influencers has a positive effect on traffic but produces an inverted U-shape for sales, both effects were undermined under a high discount condition.

This study is the first to explore the two distinct effects (repetition effect and diffusion effect) of influencer endorsement on browsing and purchasing behavior and theorize about the moderate effects of discounts on these effects.

This paper aims to examine the integration of carbon accounting in the meetings, incentives, conferences and exhibitions (MICE) sector, focusing on its practical application in sustainability management through case studies of three live events organized by the event company (TEC) (pseudonym), a German event management firm.

An action research methodology was used, combining participant observation and secondary data analysis. Carbon emissions were calculated using the Myclimate Event Calculator, which provides a comprehensive assessment of event-related emissions.

The study identifies mobility and accommodation as the dominant sources of carbon emissions in the MICE sector, driven by travel logistics and energy-intensive hotel operations. Catering emissions are variable, with vegetarian menus and minimized food waste showing lower environmental impacts. The findings highlight the critical need for targeted interventions in mobility and accommodation, which collectively account for over 80% of the emissions in many events.

The research offers the practical use of Myclimate calculator in developing actionable insights to enable targeted strategies such as eco-certified accommodations, carpooling and optimized transportation logistics, leading to significant emission reductions and improved sustainability management.

This paper advances sustainability management accounting by demonstrating the practical use of carbon data in event planning, providing granular insights into emission drivers. The focus on small enterprises addresses a significant gap in the literature, demonstrating how resource-constrained organizations can adopt sustainability practices. The paper offers a replicable methodology for assessing event emissions, which enables planners to identify high-impact areas.

Customer expectations and preferences may evolve as they experience more. This study aims to analyze the dynamics of customer requirements (CRs) as customer experience familiarity increases, offering insights for enhancing product-service quality.

This study categorizes dynamic requirements into two conversion stages: from new to repeat customers and from repeat to frequent customers. First, crawl online reviews (ORs) and determine each review’s conversion stage. Second, identify product-service attributes from reviews and conduct aspect-level sentiment analysis. Then, examine each attribute’s trend direction and magnitudes in the two stages. Finally, a dynamic-trend importance-performance analysis (DTIPA) model is developed to analyze the dynamic requirements and provide strategies for optimizing product services.

This study identifies eight attributes of buffet restaurants with varying requirement change trends. In particular, customer attention to “waiting time,” “variety of dishes,” “cost performance” and “taste” decreases in the first stage. In the second stage, “environment” and “freshness” increase differently from the first. Satisfaction with “cost performance” increases in the first stage but decreases in the perception of frequent customers. Improvement strategies are also provided based on these trends.

Research on dynamic requirement trends based on ORs and customer experience familiarity is scarce, particularly in the context of buffet restaurants. Moreover, existing methods have their limitations. This study proposes a novel approach for the progressive exploration and extraction of evolving CRs from ORs. By incorporating the trend direction and magnitude of attributes’ importance and satisfaction, DTIPA is developed to form strategies for optimizing buffet restaurant product services.

This paper aims to study the impact of the interaction effects between live-streaming marketing and clothing type on consumers' intention to purchase clothing, and the mediating effect of internalization and identification on the relationship between them.

This paper conducts a scenario experiment to 486 consumers who had experience in purchasing clothing on the live-streaming platform and employs the analysis of variance, structural equation model and multivariate regression model.

Our findings reveal that professional live-streaming marketing (PLSM) can better stimulate consumers' intention to purchase formal clothing than entertainment live-streaming marketing (ELSM) does. Compared with PLSM, ELSM can better stimulate consumers' intention to purchase casual clothing. When PLSM promotes formal clothing, it triggers the internalization mechanism of consumers, so as to improve their purchase intention. When ELSM promotes casual clothing, it triggers consumers' identification mechanism, so as to improve their purchase intention.

This paper helps to identify the differences in the impact of different types of live-streaming marketing on consumers' intention to purchase different types of clothing, as well as the mediating role of internalization and identification mechanisms. This paper provides a theoretical reference for clothing firms to strategically select the appropriate type of live-streaming marketing.

This chapter examines the ‘West’ of the Compassionate Positive Applied Strengths-based Solutions (COMPASS) model and application of Positive Psychology to understanding and supporting desistance from offending behaviour. Positive Psychology, a field dedicated to the study of strengths, well-being and human flourishing, offers valuable tools for fostering pro-social change in individuals with a history of offending. Unlike positive criminality, which focuses on rehabilitative strategies within the criminal justice system, Positive Psychology emphasises enhancing overall life satisfaction through the cultivation of personal strengths and positive experiences. This chapter discusses the concept of well-being, the Positive Emotions, Engagement, Relationships, Meaning and Accomplishment (PERMA) model and the Broaden and Build theory, highlighting their relevance to desistance. It also explores key skills and strengths, such as hope, character strengths and gratitude, that can support individuals in their journey towards a life free from offending. By integrating these principles, this chapter provides a framework for understanding how personal growth and positive psychological attributes can contribute to successful desistance and improved quality of life.

This paper aims to present an unmarked method including entire two-dimensional (2D) and three-dimensional (3D) methods to recover absolute 3D humanoid robot poses from multiview images.

The method consists of two separate steps: estimating the 2D poses in multiview images and recovering the 3D poses from the multiview 2D heatmaps. The 2D one is conducted by High-Resolution Net with Epipolar (HRNet-Epipolar), and the Conditional Random Fields Humanoid Robot Pictorial Structure Model (CRF Robot Model) is proposed to recover 3D poses.

The performance of the algorithm is validated by experiments developed on data sets captured by four RGB cameras in Qualisys system. It illustrates that the algorithm has higher Mean Per Joint Position Error than Direct Linear Transformation and Recursive Pictorial Structure Model algorithms when estimating 14 joints of the humanoid robot.

A new unmarked method is proposed for 3D humanoid robot pose estimation. Experimental results show enhanced absolute accuracy, which holds important theoretical significance and application value for humanoid robot pose estimation and motion performance testing.

The purpose of this study is to reveal the significant contribution of MXene on enhancing tribological properties and to obtain the influence mechanism of various factors on friction characteristics of rolling bearing under extreme conditions.

Under extreme working conditions, the friction characteristics of rolling bearings directly determine the safety and reliability of the transmission system. In this study, MXene is added to the origin lubricating grease (OLG) of rolling bearing to enhance their friction characteristics. Then, the effects of inner ring speed, radial load, grease filling volume and other factors on the friction coefficient of rolling bearing are analyzed using the Taguchi method.

The results indicate that the ranking of various factors affecting the friction coefficient is: radial load, inner ring speed, MXene additive content in grease and grease filling volume. Especially, the radial load and inner ring speed exhibit extremely significant effects, while the MXene additive content in grease (P < 0.05) has a significant influence on the friction coefficient of rolling bearing. The optimal condition for rolling bearing lubricated with MXene additives lubricating grease (MALG) achieves the lowest friction coefficient of 0.0049 under 1,000 rpm, 9 kN and 35% grease filling volume.

This study could offer reference solution for utilizing MXene nano-lubrication to fufill the demands of precision, heavy-load, or long-lifespan bearings. Furthermore, the lubrication approach has the potential to be expanded into aerospace, defense, and various industrial fields, thereby significantly promoting its practial engineering applications.

Recent studies suggested that owner dynamic capabilities (ODCs) enabling public owners of megaprojects to activate, orchestrate and reorganize resources to uncertainties were beneficial to improving the project resilience of megaprojects. However, most of them pay insufficient attention to the specific context of long cycles and deep uncertainty in megaprojects, neglecting the causal complexity that different dimensions of ODCs and learning mechanisms interact with each other in terms of enhancing project resilience. Therefore, this study aims to systematically unveil the complex causality among ODCs, learning mechanisms and project resilience of megaprojects.

This study introduces a configurational perspective to explore how multi-dimensional ODCs combine to improve project resilience in megaprojects along with different organizational learning mechanisms and learning orientations. Based on 330 ODC events in 19 construction megaprojects, a multi-temporal crisp-set qualitative comparative analysis method is adopted to extract configurations of ODCs for project resilience improvement and unveil their evolution features over the whole megaproject lifecycle.

Six configurations are identified for improving project resilience in megaprojects, including cognition-dominant, cognition-deficient, transformation-dominant, innovation-driven, value-co-creation and exploitative-transformation configurations. The results also indicate that distinct megaproject stages appeal to corresponding ODC configurations for project resilience improvement under unique uncertain contexts.

This study not only makes theoretical contributions to the literature on dynamic capability and project resilience in the megaproject management field but also provides useful practical guidance for public owners of megaprojects to better utilize ODCs for project resilience improvement.

The aim was to investigate the effect of normal load on the tribological performance of laser cladded FeCoCrMoSi amorphous coating, which might choose the appropriate normal load for the friction reduction and wear resistance.

A FeCoCrMoSi amorphous coating was prepared on 45 steel using laser cladding, and the tribological performance of obtained coating under the different normal loads was investigated using a ball-on-disk tribometer.

The FeCoCrMoSi amorphous coating is composed of M₂₃C₆, Co₆Mo₆C₂ and amorphous phases, where the M₂₃C₆ hard phase enhances the coating hardness to increase the wear resistance and the Co₆Mo₆C₂ with the vein shape forms the strong mechanical interlock to play the role of friction reduction. The average coefficients of friction of containing amorphous FeCoCrMoSi coating under the normal loads of 3, 4 and 5 N are 0.68, 0.65 and 0.53, respectively, and the corresponding wear rates are 17.7, 23.9 and 21.9 µm3•N⁻¹•mm⁻¹, respectively, showing that the appropriate normal load is beneficial for improving its friction reduction and wear resistance. The wear mechanism is composed of adhesive wear, abrasive wear and oxidative wear, which is attributed to the high hardness of amorphous coating by the amorphous phase.

The FeCoCrMoSi amorphous coating was first applied for the improvement of 45 steel, and the effect of normal load on its tribological performance was investigated.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0304/

Prosperity is a multifaceted concept that encompasses human well-being through economic and non-economic aspects, as well as material and immaterial attributes. Prosperous development refers to a community’s ability to thrive physically, socially, and psychologically while integrating environmental priorities and social objectives with economic directions. The City Prosperity Initiative (CPI) conceptualizes the broad understanding of human and societal livability and well-being regarding sustainable and inclusive urban development. Hence, this paper aims to elucidate urban prosperity and explore it in Tehran using the CPI Index.

It was possible to analyze Tehran’s prosperous development by valuing 56 indicators of the CPI Index, which served as a composite indicator based on reliable secondary data from official statistical yearbooks and reports. Instead of employing a global weighting methodology for aggregating sub-dimensions and dimensions, the analysis considered local context and priorities, incorporating insights from experts and scholars. For this purpose, the CPI’s methodology and metadata and the Analytical Hierarchy Process (AHP) logic were applied using Expert Choice software.

Tehran’s overall prosperity score is 47.6 out of 100, indicating a weak and vulnerable status. The asymmetric hexagonal shape of Tehran’s CPI Index reflects the unbalanced development of its urban system. Quality of Life and Infrastructure Development are solid, while Equity and Social Inclusion is fragile. Productivity, Environmental Sustainability and Urban Governance and Legislation are very weak. Thus, environmental unsustainability, low productivity, and inadequate governance and legislation significantly hinder Tehran’s prosperous development. Unsatisfactory conditions of social infrastructure and economic equity exacerbate this problematic situation.

As one of the largest metropolises in the Middle East and one of the globalizing cities from developing countries and emerging economies, Tehran has not yet been studied using the CPI. This study adds Tehran to the limited number of cities analyzed through the CPI. Tehran has surpassed its carrying capacity, and if current trends continue, its quality of life will also be fragile. The city’s environmental challenges are evident, and experts and scholars are well aware of these issues and concerned about the situation.

Despite the difficulty of obtaining accurate and reliable data and the need for a robust weighting system, the CPI framework remains adaptable. It allows for modifications based on the study’s objectives, scale, and context. In addition to the strategies proposed to improve Tehran’s prosperity, enhancing urban prosperity could be expected only through adopting an integrated approach that addresses all dimensions regarding environmental priorities, social objectives, and economic directions, considering the unique needs and preferences of the city at local, regional, national, and transnational planning levels.