Wen He, Chongyi Chang, Lan Li and Yupan Song
The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data, present an optimization method for multi-stage…
Abstract
Purpose
The study aims to build a high-precision longitudinal dynamics model for heavy-haul trains and validate it with line test data, present an optimization method for multi-stage cyclic brakes based on the model and conduct a multi-objective detailed evaluation of the driver’s manipulation during cyclic braking.
Design/methodology/approach
The high-precision longitudinal train dynamics model was established and verified by the cyclic braking test data of the 20,000 t heavy-haul combination train on the long and steep downgrade. Then the genetic algorithm is employed for optimization subsequent to decoupling multiple cyclic braking procedures, with due consideration of driver operation rules. For evaluation, key manipulation assessments in the scenario are prioritized, supplemented by multi-objective evaluation requirements, and the computational model is employed for detailed evaluation analysis.
Findings
Based on the model, experimental data reveal that the probability of longitudinal force error being less than 64.6 kN is approximately 68%, 95% for less than 129.2 kN and 99.7% for less than 193.8 kN. Upon optimizing manipulations during the cyclic braking, the maximum reduction in coupler force spans from 21% ∼ 23.9%. And the evaluation scores imply that a proper elevation of the releasing speed favors safety. A high electric braking force, although beneficial to some extent for energy-saving, is detrimental to reducing coupler force.
Originality/value
The results will provide a theoretical basis and practical guidance for further ensuring the safety and energy-efficient operation of heavy haul trains on long downhill sections and improving the operational quality of heavy-haul trains.
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Shuai Qian and Yipeng Wen
The purpose of this paper is to form propositions about the relationship between top management team (TMT) heterogeneity and peer effects in investment decision-making and explore…
Abstract
Purpose
The purpose of this paper is to form propositions about the relationship between top management team (TMT) heterogeneity and peer effects in investment decision-making and explore the mediating role of social learning processes.
Design/methodology/approach
To investigate the correlations between TMT heterogeneity and investment peer effects, we considered the TMT heterogeneity category, team process and contextual factors. With a sample of 8,467 firm-year observations from Chinese listed companies, we used the mean linear model and instrumental variable method to empirically examine their relationships. To identify the mediating role of social learning processes, we introduced a social learning model to find out the contextual factors influencing corporate social learning demands from three aspects and subsequently used comparative statics analysis to explore the variations in the main effect under these contextual factors.
Findings
For task-oriented heterogeneity (e.g. functional background, education and tenure heterogeneity), the opposite effects of information elaboration and social categorization processes make it a nonlinear multiplex correlation with investment peer effects. For relation-oriented heterogeneity (e.g. age and gender heterogeneity), the sole effect of social categorization processes leads to a negative linear correlation. Further, we identify the mediating role of social learning processes. In summary, we established a connection from the TMT heterogeneity, to information elaboration theory or social categorization theory, to social learning processes and ultimately to investment peer effects.
Originality/value
The results of this study provide a comprehensive perspective to predict the decision-making outcomes of team heterogeneity and contribute to heterogeneity research and practice.
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Ying Ma, Nava Raj Bhatt, Qianlong Wu and Mandeep Pokharel
This study introduces the heritage city risk dimension of the urban rail transit (URT) projects. It aims to identify the risk factors affecting URT projects within the unique…
Abstract
Purpose
This study introduces the heritage city risk dimension of the urban rail transit (URT) projects. It aims to identify the risk factors affecting URT projects within the unique context of heritage-rich cities, exploring their interrelation and evaluating critical factors.
Design/methodology/approach
The research adopts a multi-case exploratory study to identify the unique challenges faced by URT projects in heritage-rich environments, followed by a comprehensive risk assessment framework integrating Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), Analytic Network Process (ANP) and Risk Interaction Network (RIN) analysis to assess identified risks in the context of Kathmandu Valley. Additionally, a risk response action is simulated using RIN analysis.
Findings
About 16 risk factors were identified from the case studies and evaluated using the proposed risk assessment methodology. The study reveals a highly interconnected risk environment, with heritage impact-related factors exerting the strongest causative influence on cost and social engagement factors. Community opposition (R8) shows the highest betweenness centrality, indicating its central position in risk propagation across the network. Cost-related risk, social demand contingency (R2) ranked as the most critical. Simulations of a targeted risk avoidance strategy showed that addressing only three key high-betweenness centrality factors (R5, R8 and R15) reduced overall risk interactions by 46%, simplifying the risk network, reducing project complexity and improving manageability.
Practical implications
The findings emphasize that project managers, urban planners and policymakers should integrate heritage preservation concerns when planning and executing URT projects in heritage-rich cities. Moreover, the research highlights that effective community engagement serves as a key strategy for reducing risk propagation and plays a crucial role in overall project risk management.
Originality/value
The study contributes to the underexplored context of URT projects in heritage-rich cities, providing a comprehensive risk management framework for identifying and assessing project risks intersecting with urban development imperatives and heritage conservation objectives.
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Chau Ngoc Dang, Warit Wipulanusat, Peem Nuaklong and Boonsap Witchayangkoon
In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green…
Abstract
Purpose
In developing countries, construction organizations are seeking to effectively implement green innovation strategies. Thus, this study aims to assess the importance of green innovation practices and develop a measurement model for quantifying the green innovation degrees of construction firms.
Design/methodology/approach
A mixed-methods research approach is adopted. First, an extensive literature review is performed to identify potential green innovation items, which are then used to design a preliminary questionnaire. Next, expert interviews are conducted to pilot-test this questionnaire. Subsequently, by using a convenience non-probability sampling method, 88 valid responses are collected from construction firms in Vietnam. Then, one-sample and independent-samples t tests are employed to assess the importance of green innovation practices. Fuzzy synthetic evaluation (FSE) is also applied to quantitatively compare such practices. Finally, green innovation level (GIL) is proposed to measure the green innovation indexes and validated by a case study of seven construction firms.
Findings
This study identifies 13 green innovation variables, of which several key practices are highlighted for small/medium and large construction firms. The results of FSE analysis indicate that green process innovation is the most vital green category in construction firms, followed by green product and management innovations, respectively. As a quantitative measure, GIL could allow construction firms to frequently evaluate their green innovation indexes, thereby promoting green innovation practices comprehensively. Hence, construction firms would significantly enhance green competitive advantages and increasingly contribute to green and sustainable construction developments.
Originality/value
This research is one of the first attempts to integrate various green innovation practices into a comprehensive formulation. The established indexes offer detailed green innovation evaluations, which could be considered as valuable references for construction practitioners. Furthermore, a reliable and practical tool (i.e. GIL) is proposed to measure the GILs of construction firms in developing countries.
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Haengmi Kim, Jaeyoung An and Choong C. Lee
Upon the realization of the need for guideline in cross-organizational data integration, in an exploratory manner, this study developed a public data governance framework…
Abstract
Purpose
Upon the realization of the need for guideline in cross-organizational data integration, in an exploratory manner, this study developed a public data governance framework, specifically, the governance for integrated public data (GIPD) framework and identified the influential factors of its successful implementation. This framework was then subjected to an analysis of a real data integration case in the South Korean public sector to test its efficacy.
Design/methodology/approach
To develop the GIPD framework, the authors conducted an extensive meta study, focus group interviews and the analytic hierarchy process involving field experts. Further, the authors performed topic modeling on documents from Korean research and development data integration projects, and compared the extracted factors to those of the GIPD to illustrate the latter's usefulness in a real case.
Findings
Legislation, policy goals and strategies, operation organization, decision-making council, financial support size and objective, system development and operation, data integration, data generation, system/data standardization and master data management were derived as the 10 important factors in implementing the GIPD framework. The illustrative case of Korea revealed that decision-making council, financial support size and objective, legislation, data generation and data integration were insufficient.
Research limitations/implications
Although this study reveals important findings, it has a few limitations. First, the potential factors for data governance might vary depending on the attribute of the “interviewee” (such as their career or experience period) and the goal and area of GIPD framework building. Second, the inherent limitation of topic modeling in determining topics from groups of extracted keywords means that topics may be interpreted in various ways, depending on the perspective of the expert.
Practical implications
This study is highly significant in that it provides a starting point for discussions on the issue of data integration among public institutions. Therefore, although this study examined public data governance based on R&D data, it will contribute to providing a sufficient guideline for any type of inter-institutional data governance framework, what to discuss and how to discuss between institutions.
Originality/value
The findings are expected to provide a roadmap to formulate practical guidelines on inter-institutional data cooperation and a diagnostic matrix to improve the existing data governance system, especially in the public sector, from the existing practice of empirical analysis using a mixed methodology approach.
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Md. Ashikur Rahman, Palash Saha, H.M Belal, Shahriar Hasan Ratul and Gary Graham
This research develops a theoretical framework to understand the role of big data analytics capability (BDAC) in enhancing supply chain sustainability and examines the moderating…
Abstract
Purpose
This research develops a theoretical framework to understand the role of big data analytics capability (BDAC) in enhancing supply chain sustainability and examines the moderating effect of green supply chain management (GSCM) practices on this relationship.
Design/methodology/approach
Guided by the dynamic capability view (DCV), we formulated a theoretical model and research hypotheses. We used partial least square-based structural equation modeling (PLS-SEM) to analyze data collected from 159 survey responses from Bangladeshi ready-made garments (RMG).
Findings
The statistical analysis revealed that BDAC positively impacts all three dimensions of supply chain sustainability: economic, social and environmental. Additionally, GSCM practices significantly moderate the relationship between BDAC and supply chain sustainability.
Research limitations/implications
This study makes unique contributions to the operations and supply chain management literature by providing empirical evidence and theoretical insights that extend beyond the focus on single sustainability dimensions. The findings offer valuable guidelines for policymakers and managers to enhance supply chain sustainability through BDAC and GSCM practices.
Originality/value
This study advances the current understanding of supply chain sustainability by integrating BDAC with GSCM practices. It is among the first to empirically investigate the combined effects of BDAC on the three dimensions of sustainability – economic, social and environmental – while also exploring the moderating role of GSCM practices. By employing the DCV, this research offers a robust theoretical framework highlighting the dynamic interplay between technological and environmental capabilities in achieving sustainable supply chain performance.
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Esraa Essam, Mohamed Kamal Abdien, Mona Omar Barakat and Mostafa Abdelaziz Elsaqqa
This study is based on the extended theory of planned behavior (TPB) and attempts to shed light on what influences restaurant consumers’ intentions to eat locally sourced meals.
Abstract
Purpose
This study is based on the extended theory of planned behavior (TPB) and attempts to shed light on what influences restaurant consumers’ intentions to eat locally sourced meals.
Design/methodology/approach
Data from 698 respondents were gathered through a web-based survey employing a quantitative methodology.
Findings
The findings indicated that several motivating factors, subjective norms and perceived behavioral control positively influence respondents’ attitudes toward dining at restaurants serving meals that are obtained locally. Also, attitudes significantly predicted intentions and mediated the relationship between the motivating factors and intention to consume local meals. Furthermore, subjective norms and perceived behavioral control moderated the relationship between attitude and intention.
Research limitations/implications
The study offers implications for both theory and practice. In the context of Egypt in particular, this study advocates for sustainable food production and consumption in restaurants. The study focused only on consumers; it suggests that subsequent research should examine the restaurant operators’ perspective.
Practical implications
To draw in and please more locavores, restaurant management can use buzzwords like “safe food,” “fresh food” and “environmental labels.” They should also provide their consumers with the backstory of menu items, including where food comes from, how it’s made and how it gets transported.
Originality/value
This study tests an adapted model built on TPB and advocates for sustainable production and consumption in line with the United Nations 2030 Agenda for Sustainable Development Goals.
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Dejun Cheng, Jie Huang, Xiaoyu Wang and Shuming Zhao
There is a clear correspondence between different types of high performance work systems (HPWS), economic rents and market entry strategies. This correspondence is manifested…
Abstract
Purpose
There is a clear correspondence between different types of high performance work systems (HPWS), economic rents and market entry strategies. This correspondence is manifested through the strategic vertical fit and internal synergetic horizontal fit within HPWS, leading to a “core-periphery” structure in human resource management practice configurations. This study aims to depict the “core-periphery” structure within specific HPWSs by identifying human resource (HR) practice configurations and by analyzing the matching mechanisms and structural characteristics among different HR practices based on the interaction between vertical and horizontal fits.
Design/methodology/approach
This study uses a sample of 277 enterprises in East China and employs the ability-motivation-opportunity (AMO) framework and fuzzy-set qualitative comparative analysis (fsQCA) to identify and depict the “core-periphery” structure within HPWS. By integrating fsQCA with t-test, the study explores the interaction between vertical and horizontal fits within HPWS based on economic rent formation mechanisms.
Findings
Seven specific HR practice configurations, shown to effectively enhance organizational performance, have been identified and systematically classified into three typologies of HPWS, based on their distinct underlying mechanisms of horizontal and vertical fit.
Research limitations/implications
The data used in this study were sourced from manufacturing enterprises. Future research can enhance generalizability by expanding the dataset and examining whether efficient HPWS exist across different industries.
Practical implications
The findings of this study emphasize the crucial roles of interaction and complementarity among HR practices within HPWS. By extracting and synthesizing HR practice configurations from empirical data, this study provides practical insights for constructing effective HPWS in real-world settings.
Originality/value
First, this study incorporates both vertical and horizontal fits of HPWS into a unified analytical framework, emphasizing their interactive mechanisms and providing a more nuanced understanding of how these fits operate together. This contributes to the existing literature by validating and expanding the understanding of how specific HR practice configurations align with corporate strategies. Second, by adopting a configurational perspective, this study is able to conduct an in-depth exploration of the “core-periphery” structure within HPWS, thereby challenging the widely held assumption within the AMO framework that all HR practices carry equal significance within a specific HPWS. Third, the empirical analyses identify three specific types of HPWS that can be applicable to different new product strategies from a dynamic perspective, providing practical references for companies to select appropriate HPWS types based on their characteristics.
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Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron and Nabilah Abu Bakar
Hoisting is an essential construction work package, but there is still a high incidence of accidents due to insufficient attention to coping strategies. This study aims to provide…
Abstract
Purpose
Hoisting is an essential construction work package, but there is still a high incidence of accidents due to insufficient attention to coping strategies. This study aims to provide decision support to practitioners on safety protocols by developing a multi-stakeholder risk response model and a novel evaluation method.
Design/methodology/approach
Firstly, the study summarizes the hoisting risk response strategies system through a literature review and stakeholder theory. Secondly, the study constructed a quantitative theoretical model based on GLS-SEM and questionnaires. Third, the EWM-VA evaluation method was developed to determine the value coefficients of strategies.
Findings
The strategic interaction between government and consultants, consultants and builders, and government and builders are in the top three pronounced. Three coping strategies, “Increase funding for lifting equipment and safety devices,” “Improve the quality of safety education and training on lifting construction,” and “Conduct regular emergency rescue drills for lifting accidents,” have the optimal ratio of benefits to costs.
Originality/value
The hoisting risk strategy model from the perspective of multi-interested subjects proposed by the study is based on the global thinking of the project, which reduces the troubles such as the difficulty of pursuing responsibility and the irrational allocation of strategies that were brought by the previously related studies that only considered a single interested subject. In addition, the EWM-VA evaluation method developed in the study also provides new options for evaluating risk strategies and has the potential to be extended to other fields.
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Jing Wang, Ting-Ting Dong and Ding-Hong Peng
Green innovation in human-centric smart manufacturing (HSM-GI) has emerged as a new paradigm in innovation management for Industry 5.0. The evaluation analysis method is crucial…
Abstract
Purpose
Green innovation in human-centric smart manufacturing (HSM-GI) has emerged as a new paradigm in innovation management for Industry 5.0. The evaluation analysis method is crucial for measuring the development progress and guiding continual improvements of HSM-GI. Since this process of HSM-GI can be regarded as complex and interactive, a holistic picture is often required to describe the interrelations of its antecedents and consequences. In this respect, this study aims to construct a causality network indicator system and proposes a synergy evaluation method for HSM-GI.
Design/methodology/approach
Firstly, based on the Driver force-State-Response (DSR) causal-effect framework, this study constructs a holistic indicator system to analyze the interactions between environmental and human concerns of HSM-GI. Secondly, owing to the imprecision of human cognition and synergy interaction in the evaluation process, a flexible hesitant fuzzy (HF) superiority-inferiority synergetic evaluation method is presented. This method quantifies the strengths of causal relationships and expresses the incentives and constraints attitudes of humans. Finally, the proposed framework is applied to six HSMs in the electronic technology industry.
Findings
The driving force and state of the HSM-GI system exhibit an upward trend, while the response continues to decline due to changing market demands. The order and synergy degree have shown an increasing trend during 2021–2023, particularly significant for BOE and Haier Smart Home. HSM-GI systems with higher scores mostly have functional coordination and a coherent synergy structure.
Originality/value
This study demonstrates the proposed approach’s applicability and assists policymakers in formulating targeted strategies for green innovation systems.