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Article
Publication date: 24 January 2024

Dexin Chen, Hongyuan He, Zhixin Kang and Wei Li

This study aims to review the current one-step electrodeposition of superhydrophobic coatings on metal surfaces.

Abstract

Purpose

This study aims to review the current one-step electrodeposition of superhydrophobic coatings on metal surfaces.

Design/methodology/approach

One-step electrodeposition is a versatile and simple technology to prepare superhydrophobic coatings on metal surfaces.

Findings

Preparing superhydrophobic coatings by one-step electrodeposition is an efficient method to protect metal surfaces.

Originality/value

Even though there are several technologies, one-step electrodeposition still plays a significant role in producing superhydrophobic coatings.

Details

Anti-Corrosion Methods and Materials, vol. 71 no. 2
Type: Research Article
ISSN: 0003-5599

Keywords

Open Access
Article
Publication date: 15 February 2024

Di Kang, Steven W. Kirkpatrick, Zhipeng Zhang, Xiang Liu and Zheyong Bian

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is…

Abstract

Purpose

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is to propose a simplified approach aimed at addressing this research gap by developing a physics-informed 1-D model. The model is used to simulate train dynamics through a time-stepping algorithm, incorporating derailment data after the point of derailment.

Design/methodology/approach

In this study, a simplified approach is adopted that applies a 1-D kinematic analysis with data obtained from various derailments. These include the length and weight of the rail cars behind the point of derailment, the train braking effects, derailment blockage forces, the grade of the track and the train rolling and aerodynamic resistance. Since train braking/blockage effects and derailment blockage forces are not always available for historical or potential train derailment, it is also necessary to fit the historical data and find optimal parameters to estimate these two variables. Using these fitted parameters, a detailed comparison can be performed between the physics-informed 1-D model and previous statistical models to predict the derailment severity.

Findings

The results show that the proposed model outperforms the Truncated Geometric model (the latest statistical model used in prior research) in estimating derailment severity. The proposed model contributes to the understanding and prevention of train derailments and hazmat release consequences, offering improved accuracy for certain scenarios and train types

Originality/value

This paper presents a simplified physics-informed 1-D model, which could help understand the derailment mechanism and, thus, is expected to estimate train derailment severity more accurately for certain scenarios and train types compared with the latest statistical model. The performance of the braking response and the 1-D model is verified by comparing known ride-down profiles with estimated ones. This validation process ensures that both the braking response and the 1-D model accurately represent the expected behavior.

Details

Smart and Resilient Transportation, vol. 6 no. 1
Type: Research Article
ISSN: 2632-0487

Keywords

Article
Publication date: 26 February 2024

Hashim Zameer, Humaira Yasmeen, Ying Wang and Muhammad Rashid Saeed

Understanding the role of corporate strategies in sustainability has become a hot topic for scholarly research. Meanwhile, firms strive to innovate and shape their positive image…

Abstract

Purpose

Understanding the role of corporate strategies in sustainability has become a hot topic for scholarly research. Meanwhile, firms strive to innovate and shape their positive image in the contemporary business arena. Past research has ignored investigating whether and how sustainability-oriented corporate strategies could drive innovation and firm image among external stakeholders. To address the said research gap, this paper examines the path through which sustainability-oriented corporate strategy and environmental regulation improve green corporate image and green innovation capabilities (i.e. green process and product innovation).

Design/methodology/approach

This study adopted a quantitative survey-based method. The online survey was adopted to collect data from employees working at the managerial level in the equipment manufacturing sector. The data collected from 343 managers that was complete in all aspects was used for empirical analysis using structural equation modeling. Direct and indirect relations were evaluated.

Findings

The findings reveal that sustainability-oriented corporate strategy and environmental regulation drive green innovation and green corporate image. Findings further show that external knowledge adoption underpins these effects of sustainability-oriented corporate strategy and environmental regulation.

Originality/value

The study delivers theoretical and practical understandings of the importance of sustainability-oriented corporate strategies to green corporate image and green innovation capabilities.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 19 April 2023

Dilpreet Kaur Dhillon and Kuldip Kaur

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus…

Abstract

Purpose

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

Design/methodology/approach

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Findings

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

Originality/value

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

Details

International Journal of Energy Sector Management, vol. 18 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 10 January 2024

Zhaozhi Li, Changfu Zhang, Hairong Zhang, Haihui Liu, Zhao Zhu and Liucheng Wang

This study aims to apply an electrochemical grinding (ECG) technology to improve the material removal rate (MRR) under the premise of certain surface roughness in machining U71Mn…

Abstract

Purpose

This study aims to apply an electrochemical grinding (ECG) technology to improve the material removal rate (MRR) under the premise of certain surface roughness in machining U71Mn alloy.

Design/methodology/approach

The effects of machining parameters (electrolyte type, grinding wheel granularity, applied voltage, grinding wheel speed and machining time) on the MRR and surface roughness are investigated with experiments.

Findings

The experiment results show that an electroplated diamond grinding wheel of 46# and 15 Wt.% NaNO3 + 10 Wt.% NaCl electrolyte is more suitable to be applied in U71Mn ECG. And the MRR and surface roughness are affected by machining parameters such as applied voltage, grinding wheel speed and machining time. In addition, the maximum MRR of 0.194 g/min is obtained with the 15 Wt.% NaCl electrolyte, 17 V applied voltage, 1,500 rpm grinding wheel speed and 60 s machining time. The minimum surface roughness of Ra 0.312 µm is obtained by the 15 Wt.% NaNO3 + 10 Wt.% NaCl electrolyte, 13 V applied voltage, 2,000 rpm grinding wheel speed and 60 s machining time.

Originality/value

Under the electrolyte scouring effect, the products and the heat generated in the machining can be better discharged. ECG has the potential to improve MRR and reduce surface roughness in machining U71Mn.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0341/

Details

Industrial Lubrication and Tribology, vol. 76 no. 2
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 16 November 2023

Said Elbanna, Linda Hsieh, John Child, Rose Narooz, Svetla Marinova, Pushyarag Puthusserry, Joanna Karmowska, Terence Tsai and Yunlu Zhang

Drawing on an organizational learning perspective, this paper examines the effect of levels of foreign market involvement (intensity and geographic spread) on internationalization…

Abstract

Purpose

Drawing on an organizational learning perspective, this paper examines the effect of levels of foreign market involvement (intensity and geographic spread) on internationalization outcomes recognizing that the moderating influence of entry-mode learning potential is not well documented in the literature on small- and medium-sized enterprises (SMEs).

Design/methodology/approach

The sample includes 180 SMEs evenly selected from three industries: biotechnology, software and clothing (60 firms in each industry). The sampled firms employ less than 250 employees and are equally distributed between three developed economies and three emerging economies. All were engaged in foreign business.

Findings

The authors find that there is a direct relationship between levels of foreign market involvement and internationalization outcomes. Entry-mode learning potential moderates the relationship between intensity of foreign market involvement and internationalization outcomes but not the relationship between geographic spread and internationalization outcomes.

Practical implications

This study reveals several new insights that help explain the pathway through which foreign market involvement activities are translated into internationalization outcomes.

Originality/value

The authors conclude that the positive relationship between intensity of foreign market involvement and internationalization outcomes is strengthened when SMEs also use an entry mode with a higher learning potential than exporting only.

Details

Management Decision, vol. 62 no. 1
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 7 March 2024

Fei Xu, Zheng Wang, Wei Hu, Caihao Yang, Xiaolong Li, Yaning Zhang, Bingxi Li and Gongnan Xie

The purpose of this paper is to develop a coupled lattice Boltzmann model for the simulation of the freezing process in unsaturated porous media.

Abstract

Purpose

The purpose of this paper is to develop a coupled lattice Boltzmann model for the simulation of the freezing process in unsaturated porous media.

Design/methodology/approach

In the developed model, the porous structure with complexity and disorder was generated by using a stochastic growth method, and then the Shan-Chen multiphase model and enthalpy-based phase change model were coupled by introducing a freezing interface force to describe the variation of phase interface. The pore size of porous media in freezing process was considered as an influential factor to phase transition temperature, and the variation of the interfacial force formed with phase change on the interface was described.

Findings

The larger porosity (0.2 and 0.8) will enlarge the unfrozen area from 42 mm to 70 mm, and the rest space of porous medium was occupied by the solid particles. The larger specific surface area (0.168 and 0.315) has a more fluctuated volume fraction distribution.

Originality/value

The concept of interfacial force was first introduced in the solid–liquid phase transition to describe the freezing process of frozen soil, enabling the formulation of a distribution equation based on enthalpy to depict the changes in the water film. The increased interfacial force serves to diminish ice formation and effectively absorb air during the freezing process. A greater surface area enhances the ability to counteract liquid migration.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 4
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 2 February 2024

Renming Liu, Abu Bakar Abdul Hamid and Noor Inayah Ya'akub

Cross-border e-commerce live streaming morphs into an epidemic shopping scenario, yet there is a paucity of research on impulse purchasing in this context. The purpose of this…

Abstract

Purpose

Cross-border e-commerce live streaming morphs into an epidemic shopping scenario, yet there is a paucity of research on impulse purchasing in this context. The purpose of this study is to empirically investigate the adoption motivation of cross-border e-commerce live streaming and its influence mechanism on intrinsic response and purchase impulse and to highlight the mediating role of browsing behavior.

Design/methodology/approach

Based on the use and gratification lens, a new conceptualization model is established to captivate the theoretical relationships between perceived stimuli, individual attitudes, browsing behavior and impulsive purchases. A questionnaire survey was used to collect cross-sectional data from 427 Malaysian consumers and the estimated framework was validated through AMOS-structural equation modeling technique.

Findings

The findings confirm that perceived interactivity, perceived information usefulness and perceived enjoyment significantly influenced positive attitudes toward live-streaming, which in turn induced impulsive purchases; however, perceived affective gratification did not stimulate positive attitudes. Consumers’ utilitarian browsing had a stronger effect on impulse purchases than hedonic browsing and utilitarian browsing behavior mediated the relationship between positive attitudes and impulse buying; however, hedonic browsing had neither a direct nor a mediating effect on impulsive purchases.

Practical implications

This research enhances the literature on the impact of cross-border e-commerce live streaming, an emerging technology, on consumer behavior and offers managerial implications for e-commerce practitioners to gain insights into consumer impulse purchasing behavior.

Originality/value

The findings revamp conventional knowledge and provide new angles for understanding the formation mechanisms of impulse purchases, motivations for virtual media use and browsing behavior mediating effects in the context of live streaming.

Details

Journal of Systems and Information Technology, vol. 26 no. 1
Type: Research Article
ISSN: 1328-7265

Keywords

Open Access
Article
Publication date: 28 February 2023

Ali Farooq, Laila Dahabiyeh and Yousra Javed

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

1454

Abstract

Purpose

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Design/methodology/approach

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

Findings

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

Originality/value

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

Details

Online Information Review, vol. 48 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

Open Access
Article
Publication date: 18 March 2024

Noura Aleisa

This study aimed to identify and analyse the key factors influencing the adoption of e-government services and to discern their implications for various stakeholders, from…

Abstract

Purpose

This study aimed to identify and analyse the key factors influencing the adoption of e-government services and to discern their implications for various stakeholders, from policymakers to platform developers.

Design/methodology/approach

Through a comprehensive review of existing literature and detailed analysis of multiple studies, this research organised the influential factors based on their effect: highest, direct and indirect. The study also integrated findings to present a consolidated view of e-government adoption drivers.

Findings

The research found that users' behaviour, attitude, optimism bias and subjective norms significantly shape their approach to e-government platforms. Trust in e-Government (TEG) emerged as a critical determinant, with security perceptions being of paramount importance. Additionally, non-technical factors, such as cultural, religious and social influences, play a substantial role in e-government adoption decisions. The study also highlighted the importance of performance expectancy, effect expectancy and other determinants influencing e-government adoption.

Originality/value

While numerous studies have explored e-government adoption, this research offers a novel classification based on the relative effects of each determinant. Integrating findings from diverse studies and emphasising non-technical factors introduce an interdisciplinary approach, bridging the gap between information technology and fields like sociology, anthropology and behavioural sciences. This integrative lens provides a fresh perspective on the topic, encouraging more holistic strategies for enhancing e-government adoption globally.

Details

Journal of Innovative Digital Transformation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2976-9051

Keywords

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