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Conflicts frequently occur in construction projects. Matching appropriate contractual and relational governance with conflict features to promote cooperation and thus minimize the negative influences of conflict is an issue that deserves attention. Our study classifies conflict types into task, process and relationship conflict and defines their combinations as conflict profiles. By conceptualizing contractual governance as the complexity of contract provisions and the strictness of contract enforcement and relational governance as trust, our study aims to explore the configurational impacts of conflict profiles and these governance mechanisms on parties’ cooperative behaviors.

A questionnaire survey was conducted, and 238 valid questionnaires were received. Fuzzy set qualitative comparative analysis was performed.

Four configurations produce cooperative behaviors. The combined use of detailed contracts, rigid enforcement and high trust enhances cooperation and such a governance arrangement is not subject to any conflict profile. A relatively low level of conflict requires detailed contracts and high levels of trust. For the conflict profile characterized by high task and process conflict and low relationship conflict, parties can select contractual governance-dominant or relational governance-dominant approaches.

Theoretically, our study reveals the matching relationships between conflict profiles and governance mechanisms, enriching the research on conflict profiles in construction projects and the interrelation between contractual and relational governance. Practically, the findings provide project managers guidance for conflict management and selecting governance mechanisms.

The purpose of this paper is to analyze the symbiotic evolution decisions of digital innovation enterprises, research institutes and the government in the digital innovation ecosystem.

Based on innovation ecosystem theory and an evolutionary game model, this study constructs a tripartite symbiotic evolution game model of digital innovation ecosystems with digital innovation enterprises, research institutes and the government as the main bodies and analyzes the influencing factors as well as the evolution paths of the different behavioral strategies of each subject through numerical simulation.

The research shows that the digital innovation ecosystem has the characteristic of self-organization, which requires the symbiotic cooperation of each subject. The government plays an active role in any stage of symbiotic evolution, and the system cannot enter symbiosis under a low level of subsidies and penalties. Only when the initial willingness to cooperate of digital innovation enterprises and scientific research institutes is at a medium or high level is the system likely to become symbiotic. While digital innovation enterprises are more sensitive to government subsidies and punishments, scientific research institutes are more sensitive to the distribution proportion of cooperation income.

This study includes government regulation into the research scope, expands the research mode of the digital innovation ecosystem and overcomes the difficulties of empirical research in collecting dynamic large sample data. It vividly and systematically simulates the symbiotic evolution process of the digital innovation ecosystem, which provides a theoretical and practical reference for digital innovation ecosystem governance.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.

New quality productive forces (NQPF) are critical for high-quality economic development. As digital mergers and acquisitions (M&As) gain prominence in corporate digital transformation, understanding their impact on NQPF is essential. This study explores whether digital M&As enhance NQPF in firms and identifies key mechanisms that drive this effect.

This study investigates the impact of corporate digital M&As on NQPF using a multi-period difference-in-difference (DID) methodology. Analyzing a sample of Chinese listed firms from 2011 to 2021, the study explores how digital M&As contribute to NQPF, identifying firm innovation and data assets as key mechanisms. It also examines how external factors, such as industrial structure, urban human capital and economic policy uncertainty, moderate the effect of digital M&As on NQPF.

The study reveals three key findings: (1) Digital M&As significantly enhance corporate NQPF; (2) innovation and data assets serve as key mechanisms through which digital M&As drive NQPF and (3) external factors, including industrial structure, urban human capital and economic policy uncertainty, amplify the positive effects of digital M&As on NQPF.

Firms should leverage digital M&As as a strategic tool for improving NQPF, focusing on innovation and data assets. Policymakers can support this transformation by fostering an environment that enhances the positive impact of digital M&As on economic development.

This paper introduces a novel NQPF index, offering a comprehensive measurement of the concept. It provides new insights into how digital M&As affect NQPF, filling a gap in the literature on digital transformation and offering actionable recommendations for firms and policymakers.

Ensuring the safety of structures is important. However, when a structure possesses both an implicit performance function and an extremely small failure probability, traditional methods struggle to conduct a reliability analysis. Therefore, this paper proposes a reliability analysis method aimed at enhancing the efficiency of rare event analysis, using the widely recognized Relevant Vector Machine (RVM).

Drawing from the principles of importance sampling (IS), this paper employs Harris Hawks Optimization (HHO) to ascertain the optimal design point. This approach not only guarantees precision but also facilitates the RVM in approximating the limit state surface. When the U learning function, designed for Kriging, is applied to RVM, it results in sample clustering in the design of experiment (DoE). Therefore, this paper proposes a FU learning function, which is more suitable for RVM.

Three numerical examples and two engineering problem demonstrate the effectiveness of the proposed method.

By employing the HHO algorithm, this paper innovatively applies RVM in IS reliability analysis, proposing a novel method termed RVM-HIS. The RVM-HIS demonstrates exceptional computational efficiency, making it eminently suitable for rare events reliability analysis with implicit performance function. Moreover, the computational efficiency of RVM-HIS has been significantly enhanced through the improvement of the U learning function.

As project managers are in the central position of sustainable project management (SPM), their competencies become an important factor that affects the outcome of SPM. However, literature lacks a clear description of the project manager competence system required by SPM. The purpose of this study is to explore what competencies are required by sustainable project management and analyze the hierarchy and attributes of these competencies.

Aiming to address the problem, several methods were applied in this study. First, with a literature review, semi-structured interviews and Delphi technology, 23 project manager competencies required by SPM are identified. Second, the fuzzy interpretive structural modeling–matrix impact cross-reference multiplication applied to classification (FISM–MICMAC) method is used to analyze the data from 21 experienced project managers in the construction industry, revealing the hierarchy and attributes of the project manager competency system required by SPM.

The results indicate that the project manager competency system required by SPM includes nine micro levels. According to the nature of the competencies, these nine levels can be summarized into five macro levels. Furthermore, all competencies can be divided into three categories: independent, autonomous and dependent.

This study not only provides project managers and scholars with a further understanding of project manager competencies but also helps contractors make informed and objective judgments in the selection and/or appointments of project managers who have the appropriate competencies for SPM.

Research and development (R&D) projects are often pursued through a project portfolio (PP). R&D PPs involve many stakeholders, and without proactive management, their interactions may lead to conflict risks. These conflict risks change dynamically with different stages of the PP life cycle, increasing the challenge of PP risk management. Existing conflict risk research mainly focuses on source identification but lacks risk assessment work. To better manage the stakeholder conflict risks (SCRs) of R&D PPs, this study employs the dynamic Bayesian network (DBN) to construct its dynamic assessment model.

This study constructs a DBN model to assess the SCRs in R&D PP. First, an indicator system of SCRs is constructed from the life cycle perspective. Then, the risk relationships within each R&D PPs life cycle stage are identified via interpretative structural modeling (ISM). The prior and conditional probabilities of risks are obtained by expert judgment and Monte Carlo simulation (MCS). Finally, crucial SCRs at each stage are identified utilizing propagation analysis, and the corresponding risk responses are proposed.

The results of the study identify the crucial risks at each stage. Also, for the crucial risks, this study suggests appropriate risk response strategies to help managers better perform risk response activities.

This study dynamically assesses the stakeholder conflict risks in R&D PPs from a life-cycle perspective, extending the stakeholder risk management research. Meanwhile, the crucial risks are identified at each stage accordingly, providing managerial insights for R&D PPs.

There are three major processes in the surface mounting technology (SMT) manufacturing line, namely, printing, mounting and reflowing. During the reflow process, the printed solder pastes are melted into liquid and cooled down into solid again, forming the solder joint. During this process, because of the combined force of the liquid solder, the components will move from the placed location to the final location. This is known as the self-alignment performance in the reflow process. From the comparable studies, it is known that the reflow process with a longer time above the liquidus (TAL) results in better self-alignment performance, as well as higher peak temperatures of the reflow profiles. The TAL and the peak temperatures are influenced by multiple factors, but the experimental designs from the comparable studies kept the same ramping and cooling slopes to modify the TAL and the peak temperature. The purpose of this study is to study on the multiple factors influencing the TAL and the peak temperatures (ramping slope, cooling slope and peak temperature) by conducting designed experiments for each of the factors.

In this study, the TAL-influencing features are studied independently, including ramping slope, cooling slope and peak temperature; designed and conducted an experiment to reveal the relationship between the self-alignment and each of the three features; the statistical-based model for the combination of the three features for optimal self-alignment performance; and proposed a statistical-based simulation model for the offset after reflow.

The authors conducted a case study validating the mounter optimization model previously proposed. As a result, the optimized reflow profile improved the self-alignment performance by at least 10%, and the simulation within the error of 15 µm.

This research is statistical-based, which is limited to component types and sizes used in the design of experiments (DOE). The model proposed in this study can suggest a new reflow profile that can increase the self-alignment performance, which is critical to the solder joint quality, especially long-term quality.

This study can suggest a new reflow profile that can increase the self-alignment performance, which is critical to the solder joint quality, especially long-term quality.

This study can suggest a new reflow profile that can increase the self-alignment performance, which is critical to the solder joint quality, especially long-term quality.

The proposed statistical-based soldering reflow target profile optimization model offers a novel and practical approach. The soldering profile provided by the manufacturer contains recommended and acceptable ranges in the critical features. This study provides the optimal setting within the ranges.

This study aims to analyze the temperature difference between aluminum-based brake disc (ABD) and cast steel brake disc (CSBD) for rail vehicles in the braking process, which is related to the popularization and use of ABD.

Two friction pairs composed of ABD, CSBD and copper-based powder metallurgy brake pad were studied in this paper. The temperature characteristics of the two friction pairs were compared by 1:1 braking test and simulation calculation.

When the speed is 160–250 km/h and the braking pressure is 18 and 29 kN, the calculated maximum temperature of CSBD is 574°C and 681°C, respectively, which is higher than that of ABD 49°C–148°C and 73°C–217°C. Under the test conditions, the maximum temperature of CSBD is 487°C and 624°C respectively, which is higher than that of ABD 63°C–95°C and 63°C–188°C. The temperature difference between ABD and CSBD increases with the increase of braking pressure and speed. The surface temperature distribution of CSBD is “three-peak,” whereas that of ABD is “single-peak.”

This paper reveals the temperature difference between ABD and CSBD and provides data support for promoting the use of ABD.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-70320/

Continuous development of digital technology makes it necessary for digital entrepreneurs to pivot to cope with the environmental changes. However, limited research has focused on the important strategic orientation of digital new ventures in digital contexts, digital orientation, which depicts the tendency of new ventures to utilize digital technologies to create value. This research aims to explore the relationship between digital orientation and pivoting, along with the mediating role of dynamic capabilities as essential organizational competencies. Additionally, the study investigates the influence of boundary conditions related to the environmental dynamism and the prior experience of entrepreneurs.

The data of this study were gathered by a two-phase survey of 328 Chinese digital new ventures in China with the assistance of entrepreneurial service organizations, entrepreneurship parks and entrepreneurial training institutions. The current study used regression analysis to verify the hypotheses and factor analysis to evaluate the validity and reliability of the measurement by using MPLUS, SPSS and PROCESS macro.

The findings of this research indicate that digital orientation enhances pivoting of digital new ventures, with dynamic capabilities acting as a crucial mediator in this process. Additionally, the dynamic environment and prior entrepreneurial experience influence both the relationship between digital orientation and dynamic capabilities, as well as the mediating effect of dynamic capabilities.

This study significantly contributes to the existing literature by exploring the relationship between digital orientation and pivoting in digital new ventures. This broadens the scope of research on pivoting and enriches the literature on digital orientation in the digital context. By emphasizing how these factors shape pivoting, our research provides valuable guidance for entrepreneurs responding to the dynamic environment and technological advances.

This research illuminates the relationship between digital orientation and pivoting based on the resource-based view (RBV) and dynamic capabilities theory (DCT). It explores the antecedent of digital orientation on digital new ventures’ pivoting activities, reveals the internal mechanisms and boundary conditions and enriches the literature related to RBV and DCT in the digital entrepreneurship context.