Hui He, Qinghua He, Yajiao Chen, Ge Wang and Xiaoyan Chen
Interorganizational knowledge sharing (IKS) is an important strategy for organizations to obtain exterior knowledge resources to enhance innovation and value co-creation in…
Abstract
Purpose
Interorganizational knowledge sharing (IKS) is an important strategy for organizations to obtain exterior knowledge resources to enhance innovation and value co-creation in megaprojects. However, little research has deeply investigated multiple attributes of organizational motivations and the combinatorial effects of these motivations on facilitating IKS. Based on resource dependency theory, this study examined the net and combinatorial effects of four types of motivations (i.e. image motivations, reactive motivations, project-based co-creative economic motivations and cross-project co-creative economic motivations).
Design/methodology/approach
Questionnaire surveys were administered to 244 practitioners with over 10 years of experience in construction megaprojects. The collected data were analyzed using a partial least square-structural equation model (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).
Findings
The findings of PLS-SEM support that image and project-based co-creative economic motivations positively drive IKS. The results of fsQCA reveal three types of efficacious configurations, including comprehensive benefits-integrated driven, short-term benefits-dominated driven and long-term benefits-dominated driven configurations.
Originality/value
This study provides insight into broadening the understanding of multidimensional organizational motivations for IKS and fostering the configurational perspective to their effects with the idea that one size does not fit all. Managers should develop effective interventions considering the combination of various motivations and use multi-layered incentive structures that reward both immediate project-specific outcomes and long-term relationship-building efforts.
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Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei and Jinzhao Liu
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience…
Abstract
Purpose
High-speed turnouts are more complex in structure and thus may cause abnormal vibration of high-speed train car body, affecting driving safety and passenger riding experience. Therefore, it is necessary to analyze the data characteristics of continuous hunting of high-speed trains passing through turnouts and propose a diagnostic method for engineering applications.
Design/methodology/approach
First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. Then, the Short-Time Fourier Transform (STFT) is performed to calculate the marginal spectra. Finally, the presence of a continuous hunting problem is determined based on the results of the comparison calculations and diagnostic thresholds. To improve computational efficiency, permutation entropy (PE) is used as a fast indicator to identify turnouts with potential problems.
Findings
Under continuous hunting conditions, the PE is less than 0.90; the ratio of the maximum peak value of the signal component to the original signal peak value exceeded 0.7, and there is an energy band in the STFT time-frequency map, which corresponds to a frequency distribution range of 1–2 Hz.
Originality/value
The research results have revealed the lateral vibration characteristics of the high-speed train’s car body during continuous hunting when passing through turnouts. On this basis, an effective diagnostic method has been proposed. With a focus on practical engineering applications, a rapid screening index for identifying potential issues has been proposed, significantly enhancing the efficiency of diagnostic processes.
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Yifan Zhang, Jianyang Zhu, Xu Wang, Yaochi Zhang and Le Gu
Under oil interruption, lubricant supply in the high-speed bearing cavity is interrupted, which reduces the bearing lubrication and cooling ability, thus leading to degradation of…
Abstract
Purpose
Under oil interruption, lubricant supply in the high-speed bearing cavity is interrupted, which reduces the bearing lubrication and cooling ability, thus leading to degradation of bearing performance or even its failure. This paper aims to study the effect of grooves at the noncontact outer ring area on the flow and thermal performance of high-speed bearings under oil interruption, which is expected to improve the resistance of existing bearings to oil interruption.
Design/methodology/approach
The groove was added to the noncontact outer ring area of the bearing, and a method of combining volume of fluid and MRF was adopted to systematically study and analyze the oil-gas flow field structure and the temperature field distribution in the bearing cavities.
Findings
Results show that the lubricating oil could be stored and guided by the grooves of the bearing outer ring into the key lubrication area inside the bearing cavity, which increased the oil content near the inner ring and made the oil distribution more uniform. As a result, lubrication cooling and heat dissipation performance of the bearing cavity was improved. Compared with the original bearing, the bearing with a V-shaped groove had the optimal lubrication and cooling performance.
Originality/value
A rolling bearing model of the noncontact outer ring area with grooves under oil interruption is established in the paper. The simulation results provide theoretical guidance for the research and development of high-speed bearings with stronger oil interruption resistance ability.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0199/
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Zhuang Xiong, HuiMin Yang, Chenyi Zhang, Shiqi Yang and Pengju Wang
Addressing the adverse effects of entrepreneurial failure stigma and establishing the subsequent entrepreneurship legitimacy of new ventures are crucial for reinvigorating…
Abstract
Purpose
Addressing the adverse effects of entrepreneurial failure stigma and establishing the subsequent entrepreneurship legitimacy of new ventures are crucial for reinvigorating entrepreneurial endeavors. This paper investigated the implementation of impression-management strategies for mitigating the adverse effects of the stigma associated with entrepreneurial failure on the legitimacy of subsequent entrepreneurial activities.
Design/methodology/approach
Drawing on impression-management theory and legitimacy theory, we conducted three experimental studies to explore the impact of impression-management strategies of entrepreneurial-failure stigma on the legitimacy of subsequent entrepreneurship. Additionally, the role of stakeholders’ forgiveness as a mediating factor and how the specific type of entrepreneurial failure stigma (attributable vs non-attributable) moderates these effects were analyzed.
Findings
The results from Studies 1 and 2 show that implementing impression-management strategies positively contributes to sustaining the legitimacy of subsequent entrepreneurial endeavors in failed new ventures. Assertive strategies demonstrate a more effective impact on enhancing the legitimacy of subsequent entrepreneurship than defensive impression management strategies. In addition, stakeholders’ forgiveness plays a mediating role in the relationship between impression-management strategies and subsequent entrepreneurship legitimacy. The results of Study 3 demonstrate that the type of stigma associated with entrepreneurial failure moderates the impact of impression-management strategies on the legitimacy of subsequent entrepreneurship. In situations where the stigma is attributable, implementing only assertive strategies is adequate to yield favorable results. However, in situations where the stigma is non-attributable, it is essential to implement both defensive and assertive strategies to effectively strengthen subsequent entrepreneurship legitimacy.
Originality/value
The findings make a valuable contribution to the existing literature on the recovery from entrepreneurial failure, and they also offer practical strategies for new ventures to adeptly handle the stigma of failure and resume their entrepreneurial endeavors.
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Madhusudan Painuly, Ravi Pratap Singh and Rajeev Trehan
This article targeted to experimentally examine the impact of several considered process parameters namely, applied voltage (AV), tool feed rate, electrolyte concentration and…
Abstract
Purpose
This article targeted to experimentally examine the impact of several considered process parameters namely, applied voltage (AV), tool feed rate, electrolyte concentration and pulse frequency (PF), on the material removal rate (MRR) and radial overcut (ROC) while performing shaped tube drilling of aviation grade Inconel 625 super alloy through electrochemical machining principle. Further, an attempt has also been made to develop mathematical models for the process responses along with advanced optimization with evolutionary methods.
Design/methodology/approach
The central composite rotatable design matrix was used to scheme out the experiments in the present study. The consistency and accuracy of the developed mathematical models were confirmed through statistical results. Additionally, a field emission scanning electron microscope analysis was conducted to assess and analyze the microstructure of the machined work samples. The study also seeks to optimize the selected process inputs for MRR and ROC through the implementation of the desirability method, particle swarm optimization (PSO) and Teaching Learning-Based Optimization (TLBO).
Findings
The ROC is significantly influenced by the input parameters, specifically the PF and AV. Less ROC values were observed when the high PF with moderate AV. The minimum and maximum values of ROC and MRR were obtained as; 135.128 µm and 380.720 µm; 1.37 mg/min and 2.3707 mg/min, correspondingly. The best optimized confirmatory results were obtained through the TLBO approach, with an MRR value of 3.1587 mg/min and a ROC of 71.9629 µm, in comparison to the PSO and desirability approaches.
Originality/value
The various challenges associated with the productive machining of aviation grade Inconel 625 superalloy have been explored experimentally. The conducted experimentation has been performed on the in-house fabricated micro-electrochemical setup capable of performing a variety of advanced machining operations at the miniaturized level. Further, the application of shaped tube drilling while processing aviation grade Inconel 625 superalloy has been explored with the developed micro-ECM set-up. Moreover, the performed microstructure analysis of the machined work samples has elaborated and explored the various associated surface integrity aspects which are quite crucial when it comes to real-life aerospace-related applications. The utility of designed experiments has further made the attempted experimental analysis more fruitful and qualitative too.
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Siavash Moayedi, Jamal Zamani and Mohammad Salehi
This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one…
Abstract
Purpose
This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.
Design/methodology/approach
Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.
Findings
As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.
Originality/value
The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.
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Li Wang, Yanhong Lv, Tao Wang, Shuting Wan and Yanling Ye
The purpose of this research is to address the existing gap in the study of construction and demolition waste (C&DW) by focusing on its impact on human health throughout the…
Abstract
Purpose
The purpose of this research is to address the existing gap in the study of construction and demolition waste (C&DW) by focusing on its impact on human health throughout the entire life cycle. And this research provides a comprehensive assessment model that incorporates the release of gaseous pollutants and particulate matter during the whole life cycle of C&DW, thereby contributing to a more holistic understanding of its impact on human health.
Design/methodology/approach
The research was conducted in two stages. Firstly, the quantitative model framework of pollutants emitted by C&DW was established. Three types of pollutants were considered, namely nitrogen dioxide (NO2), sulfur dioxide (SO2) and inhalable particulate matter (PM10). Second, disability-adjusted life year (DALY) and willingness to pay (WTP) assessments were used to provide a monetary quantified health impact for pollutants released by C&DW.
Findings
The results show that the WTP value of PM10 is the highest among all pollutants and 8.68E+07 dollars/a, while the WTP value in the disposal stage accounts for the largest proportion compared to the generation and transportation stage. These findings emphasize the importance of PM10 and C&DW treatment stage for pollutant treatment.
Originality/value
The results of this study are of great significance for the management department to optimize the construction management scheme to reduce the total amount of pollutants produced by C&DW and its harm to human health. Meanwhile, this study fills the gap in existing research on the impact assessment of C&DW on human health throughout the whole life cycle, and provides reference and basis for future research and policy formulation.
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Bohui Pang, Mengru Zhang, Yao Chen, Meng Chen and Ruying Yang
In the current digital business landscape, businesses heavily rely on their information technology (IT) departments to drive digital transformation initiatives. However, firms…
Abstract
Purpose
In the current digital business landscape, businesses heavily rely on their information technology (IT) departments to drive digital transformation initiatives. However, firms often face challenges in obtaining sufficient backing from their IT departments for such initiatives. This research explores the influence of IT departments’ intellectual capital, referred to as IT intellectual capital, on digital transformation under varying degrees of market turbulence.
Design/methodology/approach
A survey was employed to collect data from 296 IT managers and business managers from 148 firms in China. We used the seemingly unrelated regression to test hypotheses.
Findings
This study indicates that each category of IT intellectual capital – namely, IT human capital, structural capital and social capital – contributes positively to digital transformation. IT social capital mediates the effects of IT human and structural capital on digital transformation. Besides, market turbulence amplifies the effect of IT human capital on digital transformation, whereas it diminishes the influence of IT social capital on digital transformation.
Practical implications
Practitioners need to recognize the strategic role of IT intellectual capital in advancing digital transformation and develop appropriate IT intellectual capital according to the market environments in which the firm operates.
Originality/value
The study introduces novel perspectives on the antecedents of digital transformation and enhances the intellectual capital literature by revealing the influence of different types of IT intellectual capital on digital transformation under various levels of market turbulence.
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Ra’ed Masa’deh, Mohammad Zakaria AlQudah, Ahmad Shatnawi, Husni Samara, Dafar Ghasawneh, Rehan Tareq Al_Majali and Abdelmajid Al-Rahamneh
This study aims to consolidate existing research on digital technology in business education, focusing on adoption determinants, theoretical frameworks and implementation…
Abstract
Purpose
This study aims to consolidate existing research on digital technology in business education, focusing on adoption determinants, theoretical frameworks and implementation challenges.
Design/methodology/approach
A hybrid literature review was conducted. The first phase involved a keyword co-occurrence analysis of 254 Association of Business Schools-ranked journal articles from the Web of Science database to identify key research themes. To deepen the analysis, the second phase included a content analysis of the 24 most globally cited articles, each with a minimum of 65 total global citations.
Findings
The review reveals that studies primarily focus on factors influencing digital technology adoption, including institutional support, perceived usefulness and ease of use. Researchers frequently cite theoretical models such as the technology acceptance model and the unified theory of acceptance and use of technology. Identified challenges include concerns over technology effectiveness, resistance to change and the influence of cultural and generational differences on technology use.
Practical implications
The findings guide educators and policymakers in formulating strategies for effective technology adoption, emphasizing alignment with educational goals and addressing cultural barriers.
Social implications
Understanding generational and cultural impacts enables the creation of inclusive digital education strategies that cater to diverse student needs.
Originality/value
This study synthesizes fragmented literature, offering new insights into the integration of digital technologies in business education.
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Liao Jiang, Yi Chen and Yao Sun
With an increasing array of new technologies and devices emerging as novel approaches to museum narratives, scholars are intrigued by the narrative effect they produce. Within…
Abstract
Purpose
With an increasing array of new technologies and devices emerging as novel approaches to museum narratives, scholars are intrigued by the narrative effect they produce. Within this context, this study aims to conduct a quantitative case study on the influencing mechanisms among technology embodiment, technology attachment, museum narrative effect and perceived museum image based on embodied cognitive theory (ECT).
Design/methodology/approach
By introducing the Opium War Museum, Dongguan City, Guangdong Province, China, as an empirical case study, the authors collected data, through questionnaires, from 425 visitors who had experienced virtual reality (VR) technology in the museum. The data was then analyzed by using the maximum likelihood estimate for structural equation modeling.
Findings
Technology embodiment and technology attachment have significant positive correlations with the museum narrative effect. Technology attachment provides a partial mediating effect between technology embodiment and the museum narrative effect. The perceived museum image moderates such mediating effects of technology attachment.
Originality/value
This study brings the emerging idea of developing visitor experiences with VR through expanding the applications of ECT in the museum scenario. First, the authors identified the underlying interaction patterns between various factors that influence the museum narrative effect. Second, the authors verified that technology can optimize the museum narrative effect and help the creative transformation of cultural relics and culture. This study also provides practical recommendations to improve the technological service experience and strengthen the “audience-centric” management concept of museums
研究目的
随着越来越多的新技术和设备作为博物馆新颖的叙事方法出现, 学者们对它们产生的叙事效果感到兴趣。在这一背景下, 我们基于具身认知理论对技术具身感、技术依恋、博物馆叙事效果和感知博物馆形象之间的影响机制进行了定量案例研究。
研究方法
通过引入中国广东省东莞市鸦片战争博物馆作为实证案例研究, 我们从体验了博物馆VR技术的425名参观者中收集了问卷数据。然后, 我们使用极大似然法估计结构方程模型对数据进行了分析。
研究发现
(1) 技术具身感和技术依恋与博物馆叙事效果存在显著正相关关系。 (2) 技术依恋在技术具身感与博物馆叙事效果之间起到了部分中介作用。 (3) 感知博物馆形象调节了技术依恋的上述中介效应。
研究创新
本研究通过扩展具身认知理论在博物馆场景中的应用, 提出了利用VR优化访客体验的新兴理念。首先, 我们识别了影响博物馆叙事效果的各种因素之间的潜在互动模式。其次, 我们验证了技术可以优化博物馆叙事效果, 并有利于文物和文化的创造性转化。本研究还提出了实际建议, 以改善技术服务体验, 并加强博物馆“以观众为中心”的管理理念。