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Article
Publication date: 8 January 2018

Jianmei Wang, Zhixiong Li, Sadoughi Mohammadkazem, Min Cai, Jianfeng Kang and Yanan Zhang

The stability characteristics of an oil film directly influence the safety and service life of mill oil-film bearings. However, very limited work has been done to address the…

199

Abstract

Purpose

The stability characteristics of an oil film directly influence the safety and service life of mill oil-film bearings. However, very limited work has been done to address the stability characteristics of mill oil-film bearings. To this end, this paper aims to investigate the stability characteristics of mill oil-film bearings through theoretical and experimental analysis.

Design/methodology/approach

For the first time, a special designed experiment platform was developed to investigate the stability characteristics of mill oil-film bearings. In addition, a theoretical model of lubricating film of the tested bearings was established to analyze the oil-film stability. The theoretical results were compared with the experimental results.

Findings

The comparison results demonstrate that the critical influential factors on the bearing stability were the eccentricity ratio and the ratio of bearing length to diameter. The mill bearing was likely to be unstable under a small load and at a high rotational speed.

Practical implications

The paper includes implications for suitable operation conditions in practical use of mill oil-film bearings.

Originality/value

This paper fulfills an identified need to investigate oil-film stability of mill bearings for practical applications.

Details

Industrial Lubrication and Tribology, vol. 70 no. 1
Type: Research Article
ISSN: 0036-8792

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Publication date: 7 December 2009

Jingping Sun

This chapter examines the similarities and differences between the concepts of transformational leadership as developed within North America and the Confucian idea of…

Abstract

This chapter examines the similarities and differences between the concepts of transformational leadership as developed within North America and the Confucian idea of transformation. It argues that Confucian tradition encompasses the essential elements embedded in the concept of transformational leadership. The former differentiates from the latter in its deeper degree of transformation, emphasis on morality and culture, and its focus on transformation from the inside outwards. The two greatest educators in Chinese history, Confucius and Cai Yuanpei, are evaluated in terms of their transformational leadership qualities in the Western sense. By looking at Confucius and Cai Yuanpei as successful transformational leaders, the chapter identifies four important factors from Chinese cases that may contribute to the success of this type of leadership. Implications of this comparison are discussed as they may inform the knowledge, research and practices of transformational leadership.

Details

Educational Leadership: Global Contexts and International Comparisons
Type: Book
ISBN: 978-1-84950-645-8

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Article
Publication date: 18 January 2023

Jaypalsinh Ambalal Rana and Suketu Y. Jani

The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were…

559

Abstract

Purpose

The COVID-19 pandemic era has severely hampered the economy over the globe. However, the manufacturing organizations across all the countries have struggled heavily, as they were among the least who worked on online mode. The organizations are adopting various innovative quality methodologies to improve their performance. In this regard, they are adopting the Sustainable Lean Six Sigma (SLSS) concept and Industry 4.0 technologies to develop products at a faster rate. The use of Industry 4.0 technologies may reduce material movement and supply chain disruptions with the help of smart intelligent systems. There is a strong synergy between SLSS and Industry 4.0 technologies, resulting in an integrated approach for adoption. This study aims to develop a framework that practitioners can use to adopt Industry 4.0-SLSS practices effectively.

Design/methodology/approach

This study portrays 31 Industry 4.0-SLSS practices and 22 performance metrics identified through a literature review to improve the manufacturing supply chain performance. To compute the weights of these practices, the Robust Best–Worst Method (RBWM) is used. The Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method is used to rank performance metrics.

Findings

According to the RBWM results, “Process Development Practices (PDP)” are first among the major criteria, followed by “Organizational Management Practices (OMP)” at second, “Technology Adoption Practices (TAP)” at third, “Strategy Management Practices (SMP)” at fourth and “Executive Management Practices (EMP)” at fifth, whereas the PF-CoCoSo method resulted in the performance metric “On time product delivery” ranking first.

Research limitations/implications

The identified practices have the potential to significantly improve the performance of the manufacturing supply chain. Practices that encourage a sustainable manufacturing supply chain and the usage of emerging technology will benefit organizational effectiveness. Managers can assess performance using prioritized performance metrics.

Originality/value

During the COVID-19 pandemic era, this is one of the unique attempts to provide a framework to improve the manufacturing supply chain performance. This study integrates and identifies Industry 4.0-SLSS practices and performance metrics for enhancing overall performance.

Details

Journal of Global Operations and Strategic Sourcing, vol. 16 no. 2
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 6 February 2023

Jaypalsinh Ambalal Rana and Suketu Y. Jani

The Sustainable Lean Six Sigma (SLSS) adoption approach, advancements in Internet technologies and the use of Industry4.0 technologies has resulted in faster customer need…

895

Abstract

Purpose

The Sustainable Lean Six Sigma (SLSS) adoption approach, advancements in Internet technologies and the use of Industry4.0 technologies has resulted in faster customer need fulfilment. The Industry4.0 technologies have resulted in a new paradigm where strategic and operational decisions are in favour of profitability and long-term viability. The purpose of this study is to identify Industry4.0-SLSS practices and sustainable supply chain performance metrics, as well as to develop a framework for decision-makers and managers to make supply chains more sustainable.

Design/methodology/approach

The 33 Industry4.0-SLSS practices and 24 performance metrics associated with the sustainable supply chain are shortlisted based on extensive literature review and expert opinion. The Pythagorean Fuzzy Analytical Hierarchy Process (PF-AHP) approach is used to evaluate the weights of Industry4.0-SLSS practices after collecting expert panel opinions. The Weighted Aggregated Sum Product Assessment (WASPAS) methodology used these weights to rank performance metrics.

Findings

According to the results of PF-AHP, “Product development competencies (PDC)” are first in the class of major criteria, followed by “Advanced technological competencies (ATC)” second, “Organisational management competencies (OMC)” third, “Personnel and sustainable competencies (PSC)” fourth and “Soft Computing competencies (SCC)” fifth. The performance metric “Frequency of NPD” was ranked first by the WASPAS method.

Research limitations/implications

The proposed paradigm helps practitioners to comprehend Industry4.0 technology and SLSS practices well. The identified practices have the potential to boost the sustainability and supply chain's performance. Organizational effectiveness will benefit from practices that promote a sustainable supply chain and the use of developing technology. Managers can evaluate performance using performance metrics that have been prioritized.

Originality/value

The present study is one of the unique attempts to establish a framework for enhancing the performance of the sustainable supply chain. The idea of establishing Industry4.0-SLSS practices and performance measures is the authors' original contribution.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 4
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 27 February 2024

Zhen Zhang and Min Min

New product development (NPD) projects are strategically important for firms’ operations but suffer from high failure rates. Leadership is a key factor for project success…

332

Abstract

Purpose

New product development (NPD) projects are strategically important for firms’ operations but suffer from high failure rates. Leadership is a key factor for project success. However, in contrast to positive project leadership, project managers’ knowledge hiding has received little attention. Drawing on the input-mediator-output (IMO) framework and model of work team resilience, we explored the effect of project managers’ destructive knowledge hiding (i.e. evasive hiding and playing dumb) on project team performance (i.e. efficiency and effectiveness) and the serial indirect effect through team psychological safety and transactive memory systems.

Design/methodology/approach

We conducted a time-lagged multiple-sourcing investigation of Chinese high-tech firms and tested the hypotheses using data collected from 105 NPD project teams.

Findings

Our findings demonstrated that project managers’ knowledge hiding negatively affects NPD project team performance and indirectly negatively affects transactive memory systems through team psychological safety. Moreover, project managers’ knowledge hiding exerts a negative indirect effect on team performance through team psychological safety and transactive memory systems in serial.

Originality/value

This study contributes to the literature on operations management (OM) by broadening our understanding of the connection between project managers' destructive knowledge hiding and the failure of NPD projects. In providing such insight, it also offers practical guidance for overcoming team-level obstacles arising from project managers' knowledge hiding.

Details

International Journal of Operations & Production Management, vol. 44 no. 12
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 14 April 2023

Min Min and Zhen Zhang

Based on interdependence theory, the authors investigated the effect of reward interdependence (RI) on project professionals' knowledge hiding and examined the moderating role of…

345

Abstract

Purpose

Based on interdependence theory, the authors investigated the effect of reward interdependence (RI) on project professionals' knowledge hiding and examined the moderating role of knowledge tacitness (KT) and complexity, in the context of new product development (NPD) teams.

Design/methodology/approach

The authors conducted a time-lagged study in the context of NPD teams and collected data from a sample of 231 NPD professionals in China.

Findings

The study's findings indicate that RI was negatively associated with knowledge hiding. Knowledge tacitness negatively moderated the relation between RI and knowledge hiding. In contrast, the moderating effect of knowledge complexity (KC) was not significant.

Practical implications

To reduce NPD professionals' knowledge hiding, organizations should not only design incentive plans that cultivate interpersonal relatedness but also address the drawbacks (decreased effectiveness of group rewards) resulting from KT.

Originality/value

The authors' paper provides novel insights into the inconsistent understanding of organizational rewards' effectiveness in managing knowledge withholding by demonstrating the differentiated effects of individual and group rewards on knowledge hiding as well as the differential contingent roles of knowledge attributes.

Details

Baltic Journal of Management, vol. 18 no. 3
Type: Research Article
ISSN: 1746-5265

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Article
Publication date: 12 November 2020

Wenhao Chen, Kin Keung Lai and Yi Cai

Sina Weibo and Twitter are the top microblogging platforms with billions of users. Accordingly, these two platforms could be used to understand the public mood. In this paper, the…

810

Abstract

Purpose

Sina Weibo and Twitter are the top microblogging platforms with billions of users. Accordingly, these two platforms could be used to understand the public mood. In this paper, the authors want to discuss how to generate and compare the public mood on Sina Weibo and Twitter. The predictive power of the public mood toward commodity markets is discussed, and the authors want to solve the problem that how to choose between Sina Weibo and Twitter when predicting crude oil prices.

Design/methodology/approach

An enhanced latent Dirichlet allocation model considering term weights is implemented to generate topics from Sina Weibo and Twitter. Granger causality test and a long short-term memory neural network model are used to demonstrate that the public mood on Sina Weibo and Twitter is correlated with commodity contracts.

Findings

By comparing the topics and the public mood on Sina Weibo and Twitter, the authors find significant differences in user behavior on these two websites. Besides, the authors demonstrate that public mood on Sina Weibo and Twitter is correlated with crude oil contract prices in Shanghai International Energy Exchange and New York Mercantile Exchange, respectively.

Originality/value

Two sentiment analysis methods for Chinese (Sina Weibo) and English (Twitter) posts are introduced, which can be reused for other semantic analysis tasks. Besides, the authors present a prediction model for the practical participants in the commodity markets and introduce a method to choose between Sina Weibo and Twitter for certain prediction tasks.

Details

Internet Research, vol. 31 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

Available. Open Access. Open Access
Article
Publication date: 10 January 2023

Lorenzo Lynberg and Ahmed Deif

This paper addresses a gap in research literature in the fields of blockchain technology (BC), supply chain network dynamics (SC) and network effect phenomena (NE). Extant BC and…

1774

Abstract

Purpose

This paper addresses a gap in research literature in the fields of blockchain technology (BC), supply chain network dynamics (SC) and network effect phenomena (NE). Extant BC and SC literature describes the potential benefits to be reaped through the adoption of BC technology. While BC technology does not yet meet the researched expectations of adoption, performance and efficacy, the authors analyze the three inter-related fields (BC, SC and NE) to bridge this gap in theory.

Design/methodology/approach

This paper begins with a research review correlating the technological fundamentals of BC technology into fundamental value propositions for SC logistics contexts. The authors review the gap between these theoretical technological functions and the current ecosystem of BC applications. With an overarching understanding of BC in SC contexts, this paper then explores the phenomena of NE and attempts to synthesize various interrelated aspects of the three fields (BC, SC and NE). Research frameworks from extant literature are used for cross-comparing legacy software/information system solutions with potential and existing BC-based solutions. Case studies are utilized to support this analysis.

Findings

Several key considerations and themes are identified to better inform practitioner and researcher decision-making. Novel insights pertain to BC platform architecture and application modularity, integrated governance and decision-making capabilities, and the automation capabilities that arise from a healthy application and smart contract ecosystem.

Originality/value

The core contribution is the synthesis of network effect theory with SC phenomena and BC theory and the exploration of how these three fields are inter-related in the maturation of BC technology. Specifically, the authors deepen insights from extant literature by contextualizing findings with relevant interdisciplinary theoretical frameworks.

Details

Modern Supply Chain Research and Applications, vol. 5 no. 1
Type: Research Article
ISSN: 2631-3871

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Article
Publication date: 9 April 2020

Sukumar Nachiappan, Lami Amanuel, Tewodros Agazie and Seyoum Bihonegn

Wound healing is a dynamic process that relies on coordinated signaling molecules to succeed. Silk has proven to be a promising biomaterial for the development of a novel product…

141

Abstract

Purpose

Wound healing is a dynamic process that relies on coordinated signaling molecules to succeed. Silk has proven to be a promising biomaterial for the development of a novel product. The purpose of the study is development of silk films, augmented functionality can be provided to silk by means of loading honey and recombinant human epidermal growth factor (rhEGF).

Design/methodology/approach

In this research work, the authors set out to explore possibilities of silk-based biomedical device development with particular attention to different fabrication strategies that can be leveraged for this purpose. They have produced a novel silk-based drug delivery material, in the form of silk films. Scanning electronic microscope was used to observe the morphology and the highly specific surface area. The structure was studied by Fourier-transform infrared spectroscopy. This methodology is accomplished using in vivo study data using Wister albonia rats.

Findings

The developed films also provided a significant higher healing rate in vivo, with well-formed epidermis with faster granulation tissue formation when compared to the controls. Biodegradable polymeric materials based on blending aqueous dispersions of natural polymer sodium alginate, Chitosan and rhEGF complex, which allow controlled antiseptic release, are presented.

Originality/value

These results suggest that silk-based controlled release of Chitosan-rhEGF may serve as a new therapy to accelerate healing of burn wounds.

Details

Research Journal of Textile and Apparel, vol. 24 no. 2
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 20 March 2024

Ki-Hyun Um

This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on…

195

Abstract

Purpose

This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on the effectiveness of these governance mechanisms, thereby determining the optimal approach for varying levels of product complexity.

Design/methodology/approach

By utilizing a comprehensive theoretical framework encompassing transaction cost economics, social exchange theory and contingency theory, this research explores the intricate interplay between governance mechanisms, product complexity and operational performance, drawing insights from a dataset comprising 246 responses within Mainland China’s manufacturing sector. To rigorously test the proposed hypotheses, this study employed a hierarchical regression analysis.

Findings

The findings of this study are summarized as follows: (1) while both contractual governance and relational governance have a significant impact on operational performance, relational governance is found to be more effective than contractual governance in enhancing operational performance; and (2) the moderation effect of product complexity is evident, as it weakens the impact of contractual governance while simultaneously enhancing the positive influence of relational governance on operational performance.

Originality/value

The study uncovers a moderation effect of product complexity on the relationship between governance mechanisms and operational performance. This finding adds an original contribution to the literature by highlighting how product complexity can interact with governance strategies, providing practical insights for industries dealing with varying levels of product complexity.

Details

Journal of Manufacturing Technology Management, vol. 35 no. 3
Type: Research Article
ISSN: 1741-038X

Keywords

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