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Article
Publication date: 8 December 2021

Ying Zhu, Jun Li, Lei Wang and Qiqi Xu

Based on an ensemble sample of multinational enterprises (MNEs), this study aims to explore the effect of the interactions between Chinese parent firms’ knowledge (including both…

332

Abstract

Purpose

Based on an ensemble sample of multinational enterprises (MNEs), this study aims to explore the effect of the interactions between Chinese parent firms’ knowledge (including both technological and marketing knowledge), equity control and cultural distance on the business performance of their overseas branches under different subsidiary roles.

Design/methodology/approach

The study uses a data set compiled from 138 listed Chinese manufacturing enterprises and their 231 overseas subsidiaries to test the hypotheses regarding the interactive effects of transferred knowledge types and the subsidiary’s control mode.

Findings

The empirical results suggest that the moderating effects of equity control and cultural distance vary with the types of the parent firm’s knowledge and subsidiary roles. Specifically, equity control positively regulates the relationship between technological knowledge and subsidiary performance while negatively moderating the relationship between marketing knowledge and subsidiary performance. Cultural distance appears to negatively regulate the relationship between marketing knowledge and subsidiary performance. This binary relationship is shown to be more significant for the implementer subsidiaries.

Originality/value

Drawing on the literature on inter-firm governance and knowledge-induced innovation mechanisms, the authors develop a theoretical contingency framework to derive some managerial implications for inter-firm and infra-firm knowledge transfer in light of MNEs’ performance integrity.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 6
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 21 January 2025

Qiqi Liu, Ming Peng, Weiguang Cai, Liu Yang and Shiying Liu

Clarifying the relationship between building carbon emissions and economic development can help sustainable construction in the field of construction, and this paper provides a…

5

Abstract

Purpose

Clarifying the relationship between building carbon emissions and economic development can help sustainable construction in the field of construction, and this paper provides a constructive suggestion for ensuring economic development while realizing energy efficiency and emission reduction in buildings.

Design/methodology/approach

The study focuses on the building sector and firstly analyzes the complex relationship between economic agglomeration (EA) and carbon emission intensity (CEI) of commercial buildings at the city level through the spatial Durbin model and the threshold effect model, and then discusses the regional heterogeneity of this complex relationship from the dimensions of economic density and climate zones, respectively, and finally analyzes in depth the intrinsic influencing mechanism of EA on the CEI of commercial buildings.

Findings

The authors found that (1) there is an inverted U-shaped nonlinear relationship between EA and CEI of commercial buildings, and the inflection point of the EA level is 2.42, i.e. 1.125 bn RMB/km2. (2) Significant regional differences exist in the inverted U-shaped relationship for cities with different economic densities and cities in different climate zones. (3) EA mainly affects the CEI of commercial buildings through externalities such as commercial building size and tertiary industry share, of which commercial building size is the most important factor hindering the decoupling of urban economic development from the CEI of commercial buildings.

Originality/value

This paper discusses for the first time the relationship between economic development and carbon emissions at the city level and clarifies the spatial differences and influencing mechanism of this relationship, providing a fuller reference for policymakers to develop differentiated building energy efficiency and emission reduction strategies.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Available. Open Access. Open Access
Article
Publication date: 31 December 2024

Hui Guo, Jinzhou Jiang, Suoting Hu, Chun Yang, Qiqi Xiang, Kou Luo, Xinxin Zhao, Bing Li, Ziquan Yan, Liubin Niu and Jianye Zhao

The bridge expansion joint (BEJ) is a key device for accommodating spatial displacement at the beam end, and for providing vertical support for running trains passing over the gap…

859

Abstract

Purpose

The bridge expansion joint (BEJ) is a key device for accommodating spatial displacement at the beam end, and for providing vertical support for running trains passing over the gap between the main bridge and the approach bridge. For long-span railway bridges, it must also be coordinated with rail expansion joint (REJ), which is necessary to accommodate the expansion and contraction of, and reducing longitudinal stress in, the rails. The main aim of this study is to present analysis of recent developments in the research and application of BEJs in high-speed railway (HSR) long-span bridges in China, and to propose a performance-based integral design method for BEJs used with REJs, from both theoretical and engineering perspectives.

Design/methodology/approach

The study first presents a summary on the application and maintenance of BEJs in HSR long-span bridges in China representing an overview of their state of development. Results of a survey of typical BEJ faults were analyzed, and field testing was conducted on a railway cable-stayed bridge in order to obtain information on the major mechanical characteristics of its BEJ under train load. Based on the above, a performance-based integral design method for BEJs with maximum expansion range 1600 mm (±800 mm), was proposed, covering all stages from overall conceptual design to consideration of detailed structural design issues. The performance of the novel BEJ design thus derived was then verified via theoretical analysis under different scenarios, full-scale model testing, and field testing and commissioning.

Findings

Two major types of BEJs, deck-type and through-type, are used in HSR long-span bridges in China. Typical BEJ faults were found to mainly include skewness of steel sleepers at the bridge gap, abnormally large longitudinal frictional resistance, and flexural deformation of the scissor mechanisms. These faults influence BEJ functioning, and thus adversely affect track quality and train running performance at the beam end. Due to their simple and integral structure, deck-type BEJs with expansion range 1200 mm (± 600 mm) or less have been favored as a solution offering improved operational conditions, and have emerged as a standard design. However, when the expansion range exceeds the above-mentioned value, special design work becomes necessary. Therefore, based on engineering practice, a performance-based integral design method for BEJs used with REJs was proposed, taking into account four major categories of performance requirements, i.e., mechanical characteristics, train running quality, durability and insulation performance. Overall BEJ design must mainly consider component strength and the overall stiffness of BEJ; the latter factor in particular has a decisive influence on train running performance at the beam end. Detailed BEJ structural design must stress minimization of the frictional resistance of its sliding surface. The static and dynamic performance of the newly-designed BEJ with expansion range 1600 mm have been confirmed to be satisfactory, via numerical simulation, full-scale model testing, and field testing and commissioning.

Originality/value

This research provides a broad overview of the status of BEJs with large expansion range in HSR long-span bridges in China, along with novel insights into their design.

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Article
Publication date: 14 August 2024

Qiqi Zhang, Weijun Zhen, Quansheng Ou, Yusufu Abulajiang and Gangshan Ma

The objective was to investigate the utility of cottonseed oil (CSO) as a raw material for the synthesis of CSO water-based alkyd resin. The synthesis involved the polymerization…

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Abstract

Purpose

The objective was to investigate the utility of cottonseed oil (CSO) as a raw material for the synthesis of CSO water-based alkyd resin. The synthesis involved the polymerization of CSO, trimethylolpropane, phthalic anhydride (PA) and trimellitic anhydride (TMA). The prepared resin coating material was subsequently applied to the surface of steel structure material.

Design/methodology/approach

This study aimed to synthesize water-based alkyd resins using CSO. Therefore, the alkyd resin was introduced with TMA containing carboxyl groups and neutralized with triethylamine (TEA) to form a water-soluble salt. Then, the esterification kinetics of CSO water-based alkyd resin were investigated, and finally, the basic properties of CSO water-based alkyd resin coating were evaluated.

Findings

It was demonstrated that CSO water-based alkyd resin exhibited excellent water solubility and that the esterification kinetic of the synthesis reaction could be described by a second-order reaction. The coating properties of the material were investigated and found to have good basic properties, with 40% resin addition having the best corrosion resistance. Consequently, it could be effectively applied to the surface of steel structural materials.

Originality/value

This study not only met the requirement of environmentally friendly development but also expanded the application of CSO through the synthesis of CSO water-based alkyd resin via alcoholysis. Compared to fatty acid process, the alcoholysis reduced the need for fatty acid pre-extraction, simplifying the alkyd resin synthesis process. Thus, economic costs are effectively reduced.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

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Article
Publication date: 22 April 2024

Qiqi Liu and Tingwu Yan

This paper investigates the ways digital media applications in rural areas have transformed the influence of social networks (SN) on farmers' adoption of various climate change…

236

Abstract

Purpose

This paper investigates the ways digital media applications in rural areas have transformed the influence of social networks (SN) on farmers' adoption of various climate change mitigation measures (CCMM), and explores the key mechanisms behind this transformation.

Design/methodology/approach

The study analyzes data from 1,002 farmers’ surveys. First, a logit model is used to measure the impact of SN on the adoption of different types of CCMM. Then, the interaction term between digital media usage (DMU) and SN is introduced to analyze the moderating effect of digital media on the impact of SN. Finally, a conditional process model is used to explore the mediating mechanism of agricultural socialization services (ASS) and the validity of information acquisition (VIA).

Findings

The results reveal that: (1) SN significantly promotes the adoption of CCMM and the marginal effect of this impact varies with different kinds of technologies. (2) DMU reinforces the effectiveness of SN in promoting farmers' adoption of CCMM. (3) The key mechanisms of the process in (2) are the ASS and the VIA.

Originality/value

This study shows that in the context of DMU, SN’s promotion effect on farmers' adoption of CCMM is strengthened.

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Article
Publication date: 30 September 2024

Muhammad Khayyam, Jiang Yushi, Qiqi Liu, Hisham Idrees, Shengze Qin and Alinur Nurlegul

This study delves into the intricate dynamics between technological readiness, knowledge sources and their collective impact on firms' ability to achieve ambidextrous green…

173

Abstract

Purpose

This study delves into the intricate dynamics between technological readiness, knowledge sources and their collective impact on firms' ability to achieve ambidextrous green innovation (GI). It specifically aims to dissect the moderating influence of resource orchestration capability (ROC) in this nexus, proposing a nuanced exploration into how technological preparedness and the strategic utilisation of both internal and external knowledge sources can significantly steer firms towards successful exploitative and exploratory GI endeavours.

Design/methodology/approach

The study draws upon resource orchestration theory, integrating a cross-sectional approach that incorporates primary data from Pakistani manufacturing firms. The data consisting of 452 responses was analysed employing Partial Least Squares Structural Equation Modelling (PLS-SEM).

Findings

The research verifies that technological readiness has a substantial influence on exploitative and exploratory GI. Moreover, it reveals that both internal and external knowledge resources mediate the link between technological readiness and ambidextrous GI. Notably, while ROC enhances the favourable impact of external knowledge resources on both types of GI, it does not significantly moderate the effect of internal knowledge sources.

Practical implications

Managers must prioritize enhancing technological preparedness and strategically coordinating knowledge resources to drive both exploitative and exploratory environmentally friendly innovation. Investments in technology and collaborations with external partners, guided by strong resource management capabilities, are crucial for achieving sustainable innovation.

Originality/value

This research contributes to ambidextrous GI literature by examining the roles of technological readiness, mediated by internal and external knowledge sources and moderated by ROC. It offers detailed insights into the mechanisms that promote sustainable innovation, enriching the current understanding of the subject.

Details

Business Process Management Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 5 December 2023

Dezhao Tang, Qiqi Cai, Tiandan Nie, Yuanyuan Zhang and Jinghua Wu

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary…

100

Abstract

Purpose

Integrating artificial intelligence and quantitative investment has given birth to various agricultural futures price prediction models suitable for nonlinear and non-stationary data. However, traditional models have limitations in testing the spatial transmission relationship in time series, and the actual prediction effect is restricted by the inability to obtain the prices of other variable factors in the future.

Design/methodology/approach

To explore the impact of spatiotemporal factors on agricultural prices and achieve the best prediction effect, the authors innovatively propose a price prediction method for China's soybean and palm oil futures prices. First, an improved Granger Causality Test was adopted to explore the spatial transmission relationship in the data; second, the Seasonal and Trend decomposition using Loess model (STL) was employed to decompose the price; then, the Apriori algorithm was applied to test the time spillover effect between data, and CRITIC was used to extract essential features; finally, the N-Beats model was selected as the prediction model for futures prices.

Findings

Using the Apriori and STL algorithms, the authors found a spillover effect in agricultural prices, and past trends and seasonal data will impact future prices. Using the improved Granger causality test method to analyze the unidirectional causality relationship between the prices, the authors obtained a spatial effect among the agricultural product prices. By comparison, the N-Beats model based on the spatiotemporal factors shows excellent prediction effects on different prices.

Originality/value

This paper addressed the problem that traditional models can only predict the current prices of different agricultural products on the same date, and traditional spatial models cannot test the characteristics of time series. This result is beneficial to the sustainable development of agriculture and provides necessary numerical and technical support to ensure national agricultural security.

Details

Kybernetes, vol. 54 no. 3
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 11 April 2023

Jeen Guo, Pengcheng Xiang, Qiqi Liu and Yun Luo

The purpose of this paper is to propose a method that can calculate the transportation infrastructure network service capacity enhancement given by planned transportation…

179

Abstract

Purpose

The purpose of this paper is to propose a method that can calculate the transportation infrastructure network service capacity enhancement given by planned transportation infrastructure projects construction. Managers can sequence projects more rationally to maximize the construction effectiveness of infrastructure investments.

Design/methodology/approach

This paper designed a computational network simulation software to generate topological networks based on established rules. Based on the topological networks, the software simulated the movement path of users and calculated the average travel time. This software allows the adjustment of parameters to suit different research objectives. The average travel time is used as an evaluation index to determine the most appropriate construction sequence.

Findings

In this paper, the transportation infrastructure network of Sichuan Province in China was used to demonstrate this software. The average travel time of the existing transportation network in Sichuan Province was calculated as 211 min using this software. The high-speed railways from Leshan to Xichang and from Xichang to Yibin had the greatest influence on shortening the average travel time. This paper also measured the changes in the average travel time under two strategies: shortening the maximum and minimum priorities. All the transportation network optimisation plans for Sichuan Province will be somewhere between these two strategies.

Originality/value

The contribution of this research are three aspects: First, a complex network analysis method that can take into account the differences of node elements is proposed. Second, it provides an effective tool for decision makers to plan transportation infrastructure construction. Third, the construction sequence of transportation infrastructure development plan can effect the infrastructure investment effectiveness.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 7
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 3 August 2020

Huimin Liu, Yanru Yu, Yuxing Sun and Xue Yan

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge…

1014

Abstract

Purpose

The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.

Design/methodology/approach

First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.

Findings

The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.

Research limitations/implications

Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.

Practical implications

By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.

Originality/value

This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 3
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 22 August 2024

Michel Tremblay

This study aims to investigate the impact of customers’ delight on the likelihood of frontline employees (FLEs) receiving expressions of gratitude from customers, as well as the…

199

Abstract

Purpose

This study aims to investigate the impact of customers’ delight on the likelihood of frontline employees (FLEs) receiving expressions of gratitude from customers, as well as the subsequent effects on their customer-focused and coworker-focused behaviors. Additionally, it examines how customer orientation moderates the relationship between FLE’s likelihood of receiving customer gratitude expressions and their performance behaviors.

Design/methodology/approach

The study used a sample from a Canadian retailer specializing in the sale of artistic and creative materials for artists, crafters and hobbyists. Longitudinal data was collected through a survey administered to frontline employees, unit managers and customers, spanning 7 assessment waves over a 12-month period. In total, the data set comprised 1,609 individual observations and 3,533 customers nested within 35 business units. The hypotheses were tested by using a multilevel longitudinal modeling approach.

Findings

This research has yielded important insights. First, significant relationships emerged between enhanced customers’ delight and an increased likelihood of FLEs receiving expressions of gratitude from customers. Second, gratitude expressions received from customers were found to be positively associated with prosocial behaviors toward both customers and coworkers. Third, the findings indicate that the impact of receiving customer gratitude expressions on FLEs’ performance behaviors is more pronounced for employees with a high level of customer orientation.

Practical implications

This study highlights the importance of investing in relationship-building strategies aimed at enhancing customers’ delight. This can motivate customers to express their gratitude toward service employees and to elicit higher prosocial behaviors from employees.

Originality/value

This study offers theoretical insights into gratitude, customer behaviors and employee performance in the retail industry. A pivotal contribution of this study to marketing literature lies in its paradigm shift, redirecting attention from the traditional examination of firm-customer relationships to a nuanced exploration of customer–employee relationships.

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