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Article
Publication date: 13 February 2025

Yingbo Gao, Bo Yan, Hanxu Yang, Mao Deng, Zhongbin Lv, Bo Zhang and Guanghui Liu

A transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper…

Abstract

Purpose

A transmission tower usually experiences bolt loosening under long-term alternating cyclic load, which may lead to collapse of the tower in extreme operating conditions. The paper aims to propose a data-driven identification method for bolt looseness of complicated tower structures based on reduced-order models and numerical simulations to perceive and evaluate the health state of a tower in operation.

Design/methodology/approach

The equivalent stiffnesses of three types of bolt joints under various loosening scenarios are numerically determined by three-dimensional finite element (FE) simulations. The order of the FE model of a tower structure with bolt loosening is reduced by means of the component modal synthesis method, and the dynamic responses of the reducer-order model under calibration loads are simulated and used to create the dataset. An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed.

Findings

An identification model for bolt looseness of the tower structure based on convolutional neural networks driven by the acceleration sensors is constructed and the applicability of the model is investigated. It is shown that the proposed method has a high identification accuracy and strong robustness to data noise and data missing. Meanwhile, the method is less dependent on the number and location of sensors and is easier to apply in real transmission lines.

Originality/value

This paper proposes a data-driven identification method for bolt looseness of a complicated tower structure based on reduced-order models and numerical simulations. Non-linear relationships between equivalent stiffness of bolted joints and bolt preload depicting looseness are obtained and reduced-order model of tower structure with bolt looseness is established. Finally, this paper investigates applicability of identification model for bolt looseness.

Details

Engineering Computations, vol. 42 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 27 October 2023

Murat Gunduz, Khalid Naji and Omar Maki

This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates…

Abstract

Purpose

This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success.

Design/methodology/approach

After a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-à-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance.

Findings

The utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas.

Originality/value

This study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.

Article
Publication date: 13 December 2024

Hongyan Wu and Fei Yu

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1361-2026

Keywords

Article
Publication date: 7 July 2023

Rayees Farooq and Makhmoor Bashir

This study aims to test the relationship between virtual knowledge sharing (VKS) and team effectiveness (TE) during the COVID-19 pandemic. The study also explores the moderating…

Abstract

Purpose

This study aims to test the relationship between virtual knowledge sharing (VKS) and team effectiveness (TE) during the COVID-19 pandemic. The study also explores the moderating role of collaborative technologies.

Design/methodology/approach

This is a cross-sectional study conducted in the service sector of India. A purposive sample of 321 knowledge workers from National Capital Region of India was used. Questionnaires were distributed to knowledge workers working in a virtual environment. The hypotheses were tested with confirmatory factor analysis and structural equation modeling (SEM) using partial least square-SEM.

Findings

The study reveals that, amid the COVID-19 pandemic, virtual knowledge sharing (VKS) positively affects team effectiveness (TE). Furthermore, the impact of VKS on TE is contingent upon the utilization of collaborative technologies.

Originality/value

The study contributes to the existing literature by exploring the impact of VKS on TE during the COVID-19 pandemic and the importance of collaborative technologies in facilitating virtual team collaboration, which has practical implications for organizations seeking to enhance TE in virtual environments.

Details

Global Knowledge, Memory and Communication, vol. 74 no. 3/4
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 11 March 2025

Noureddine Benlagha and Wael Hemrit

The study aimed to examine the impact of COVID-19-related governments’ interventions on the volatility in stock returns in several Asian countries following the COVID-19 outbreak.

Abstract

Purpose

The study aimed to examine the impact of COVID-19-related governments’ interventions on the volatility in stock returns in several Asian countries following the COVID-19 outbreak.

Design/methodology/approach

Using a battery of conditional volatility models, we first investigate the dynamic behavior of the stock return volatility for selected Asian stock markets during the pandemic period. Second, we wish to find out how these volatilities overlap with a wide range of governments’ interventions related to COVID-19 and whether a relationship can be established between two types of uncertainty and the volatility of the considered stock returns.

Findings

We confirm an asymmetric pattern in the volatility of selected Asian stock markets. In addition, the result shows that the effects of governments’ interventions vary significantly across countries. The “Containment and Health” and “Economic Support” indices appear to have a significant and negative impact on the volatility of the overwhelming majority of stock markets. Further, all Asian stock markets are experiencing a significant positive effect of “Stringency measures” on the return volatilities.

Originality/value

This research could have implications for investors and policymakers in terms of portfolio diversification to maintain active and gainful investment strategies during the pandemic crisis.

Details

Review of Behavioral Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1940-5979

Keywords

Article
Publication date: 28 January 2025

Khaldoun I. Ababneh and Raed Ababneh

The purpose of this study is to explore the impact of knowledge management (KM) practices (knowledge creation, knowledge storage, knowledge transfer and knowledge application) and…

Abstract

Purpose

The purpose of this study is to explore the impact of knowledge management (KM) practices (knowledge creation, knowledge storage, knowledge transfer and knowledge application) and demographic and occupational factors on team learning (TL) in public enterprises in Jordan.

Design/methodology/approach

A convenient random sample of 389 employees working in 52 various functional teams in the Jordanian public enterprises completed a self-administrated questionnaire. Descriptive statistics, confirmatory factor analysis and hierarchical regression analysis were used to analyze the data and test the proposed hypotheses.

Findings

The results of this study showed that KM practices explained an additional 53% of the variance in TL above the 9% variance explained by the demographic and occupational factors (i.e. gender, work experience, age, education, occupational position, team size and participation in training on KM and TL). Notably, in the absence of the effects of KM dimensions, work experience, age, team size and “participation in training on KM and TL” were significant predictors of TL. However, after including the effects of KM dimensions in the regression analysis, only the participation in training variable, along with the KM dimensions, remained significant predictors of TL.

Practical implications

This study contributes to public enterprise administration by highlighting the importance of KM practices in nurturing a healthy TL climate that can ultimately enhance job performance and organizational success.

Originality/value

To the best of the authors’ knowledge, this study is one of the few studies in the Arab world that examines real functional teams to understand the role of KM in enhancing the practice of TL.

Details

Journal of Workplace Learning, vol. 37 no. 3
Type: Research Article
ISSN: 1366-5626

Keywords

Open Access
Article
Publication date: 11 March 2025

Amir Hossein Ordibazar, Omar K. Hussain, Ripon Kumar Chakrabortty, Elnaz Irannezhad and Morteza Saberi

Supply chain risk management (SCRM) is a multi-stage process that handles the adverse impact of disruptions in the supply chain network (SCN), and various SCRM techniques have…

Abstract

Purpose

Supply chain risk management (SCRM) is a multi-stage process that handles the adverse impact of disruptions in the supply chain network (SCN), and various SCRM techniques have been widely developed in the literature. As artificial intelligence (AI) techniques advance, they are increasingly applied in SCRM to enhance risk management’s capabilities.

Design/methodology/approach

In the current, systematic literature review (SLR), which is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, we analysed the existing literature on AI-based SCRM methods without any time limit to categorise the papers’ focus in four stages of the SCRM (identification, assessment, mitigation and monitoring). Three research questions (RQs) consider different aspects of an SCRM method: interconnectivity, external events exposure and explainability.

Findings

For the PRISMA process, 715 journal and conference papers were first found from Scopus and Web of Science (WoS); then, by automatic filtering and screening of the found papers, 72 papers were shortlisted and read thoroughly, our review revealed research gaps, leading to five key recommendations for future studies: (1) Attention to considering the ripple effect of risks, (2) developing methods to explain the AI-based models, (3) capturing the external events impact on the SCN, (4) considering all stages of SCRM holistically and (5) designing user-friendly dashboards.

Originality/value

The current SLR found research gaps in AI-based SCRM and proposed directions for future studies.

Details

Modern Supply Chain Research and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3871

Keywords

Article
Publication date: 6 March 2025

Xiaofeng Su, Shuping Zhang and Yifan Feng

The development of regional public brands for agricultural products necessitates compelling narratives that resonate deeply with consumers. Given the distinctiveness of…

Abstract

Purpose

The development of regional public brands for agricultural products necessitates compelling narratives that resonate deeply with consumers. Given the distinctiveness of agricultural products, consumers prioritize the inherent connection to roots and heritage when making purchasing decisions. Therefore, crafting brand narratives must emphasize this root appeal, namely, consumers’ information appeal preference, to positively influence consumers’ brand perceptions and underscore the value of regional public brands. This study investigates this phenomenon through the lens of cue utilization theory.

Design/methodology/approach

Four experiments were conducted for this purpose. Study 1 examined the stimulus materials for brand story type (typical vs atypical). The purpose of study 2 was to verify whether the experimental material could be used to categorize participants' information appeal preferences (geographic vs cultural). Study 3 employed a between-subjects design with a 2 (brand story: typical vs atypical) × 2 (consumers’ information appeal preferences: cultural vs geographic) factorial design. Study 4 used a between-subjects design of 2 (brand story: typical and atypical) × 2 (consumers’ information appeal preferences: cultural vs geographic) × 2 (culturally derived power perception: individual and social).

Findings

The findings indicated that the type of brand story and consumers’ information appeal preferences interact with consumers’ brand attitudes toward regional public brands for agricultural products. In addition, a sense of place was found to mediate the interaction between the type of brand story and consumers’ information appeal preferences. Furthermore, culturally derived power perceptions moderated this mechanism.

Originality/value

This study offers valuable insights into marketing regional public brands for agricultural products by categorizing their brand stories into typical and non-typical narratives.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 15 January 2024

Mohsin Rasheed, Jianhua Liu and Ehtisham Ali

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI…

Abstract

Purpose

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

Design/methodology/approach

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

Findings

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

Practical implications

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

Originality/value

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

Article
Publication date: 7 March 2025

ChengZhou Liu, ChengYang Liu, Xiao Hu and Wang Yuan

This paper aims to investigate the effect of different texture ratios of bionic scallop microtextures on the tribological performance of shot-peened 65Mn steel plow surfaces.

Abstract

Purpose

This paper aims to investigate the effect of different texture ratios of bionic scallop microtextures on the tribological performance of shot-peened 65Mn steel plow surfaces.

Design/methodology/approach

This study first uses ultrasonic shot peening to strengthen the 65Mn steel plow surface, followed by laser processing to create bio-inspired scallop shell microtexture protrusions with varying texture ratios. The hardness of the samples is measured using an HV-1000D Vickers hardness tester, and the surface roughness is assessed using a TR200 roughness tester. Tribological performance tests are conducted under lubrication with earthworm body fluid using an HSR-2M reciprocating friction and wear tester. The surface structure and wear scar morphology of the samples are observed using an M330BD-HK830 metallurgical microscope and an S-4800FE scanning electron microscope.

Findings

Ultrasonic shot peening increases the surface roughness of the 65Mn steel plow, leading to increased friction, while the enhanced hardness improves wear resistance. The single bionic scallop microtexture protrusions have limited effectiveness in improving the friction and wear resistance of the 65Mn steel plow surface. However, bionic scallop microtextures with different texture ratios can improve the friction and wear resistance of the shot-peened 65Mn steel plow surface to varying degrees. When the texture ratio is 37%, compared to the single shot-peened sample, the maximum reduction in friction coefficient under 20 N and 50 N loads is 19.86% and 22.98%, respectively, while the maximum reduction in wear rate is 84.25% and 87.91%, respectively.

Originality/value

The research results provide a reference for preparation methods to achieve plow surfaces with excellent anti-adhesion, drag reduction and wear resistance properties.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0303/

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

Keywords

1 – 10 of 38