Search results

In the realistic multi-project scheduling, resources are not always shared among multiple projects, nor are they available to perform activities throughout the planning horizon. Besides, according to construction technology, some architectural jobs cannot be interrupted for any reason. However, these characteristics of resources and activities have not been fully studied, which may lead to the reduction of engineering quality and the failure of scheduling work. Therefore, this paper aims to model a multi-project scheduling problem with the above characteristics and provide an effective method to meet the actual needs of the construction industry.

A three-phase CPLEX with quota auction mechanism (TPCP–QAM) is developed to solve this problem, which significantly improves the solving performance of CPLEX by adjusting the search strategy and implementing a distributed procedure. In this approach, resources are dedicated to individual projects through a global coordination mechanism, while each project is independently scheduled by a local scheduling algorithm.

(1) For the proposed problem, CPLEX 2019's default search strategy. (Auto) is far inferior to another search strategy (Multi-point) in optimizing the project total cost and average resource capacity. (2) Compared with other two algorithms, TPCP–QAM has obvious advantages in the multi-project total cost (MPTC) and CPU time, especially for large-size instances. (3) Even though the number of non-working days may not be changed for the protection of labor resources, managers can reduce MPTC or shorten the multi-project total makespan (TMS) by appropriately adjusting the distribution of non-working days.

This paper fulfils an identified need to investigate how to complete a multi-project portfolio with the minimum cost while ensuring engineering quality under a practical multi-project scheduling environment.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

Our paper examines how formal institutional agents influence the legitimacy of companies in a highly regulated industry. We focus on the Brazilian personal protective equipment (PPE) industry because its characteristics are particularly suited to this investigation. Companies are subject to isomorphic pressures imposed by regulatory demands they must comply with for successful market entry, and the institutional environment plays a significant role in shaping organizations’ strategic decision-making. However, customer purchasing decisions are often influenced by price rather than by an organization’s performance in pre-certification testing.

We conducted a case study, holding 13 semi-structured interviews with key stakeholders, including PPE manufacturers, their suppliers and customers, representatives from formal institutional agents, industry experts and consultants.

Our findings highlight the role of formal institutional agents in creating and implementing the rules of the institutional environment. However, we found that the regulatory framework alone has insufficient credibility to establish legitimacy for PPE manufacturers from the perspective of their consumers. This is in part because of weak regulatory oversight, manifested as the absence of enforcement through post-certification inspections, which is possibly due to mimetic isomorphism.

Our study contributes to the field of organizational legitimacy by analyzing and offering insights into the role of formal institutional agents in a regulated industry. In the empirical field, it helps organizations to understand how institutions impact customers’ perception of legitimacy in the market, paradoxically, by showing that sometimes the impact is negligible.

Disruptions are appearing more frequently and having an ever greater impact on supply chains (SC), affecting the vulnerability and sustainability of organisations. Our study proposes an innovative approach to address contemporary challenges by introducing coopetition as a strategic capability. The aim of this study is to enable companies to adapt and thrive by applying a tool that measures and monitors different logistical scenarios to improve performance and antifragility.

With the aim of jointly planning transport activities of two competing companies, we present a linear programming model that promotes synergies which enhance resource utilisation. To demonstrate the validity of the model, a case study is conducted to measure, monitor and evaluate the results obtained after collaborating on SC activities.

Current tools to support logistics planning are not effective because they hamper information exchange, cost allocation and performance measurements. Our innovative model optimises collaborative networks (CNs) and monitors economic, environmental and social improvements. The case study shows the reduction of logistics costs (13%), carbon footprint (37%) and the improvement of social antifragility when agility and flexibility emerge.

CNs have become an effective means of enhancing resilience, but there are no empirical contributions to demonstrate how to achieve this. We provide a real case with computational experiments that provide empirical evidence of the effectiveness of the model, which measures, optimises and evaluates SC performance in coopetitive environments. This approach is a guide to researchers and practitioners when creating simulations to reduce risks and facilitate decision-making.

This study investigates how corporations navigate the increasingly prominent field of environmental, social and governance (ESG) through the lens of resource dependence theory (RDT). It aims to elucidate the strategic responses of companies to media-driven public sentiment on ESG, examining the alignment of their operations and competitive strategies – specifically differentiation and cost leadership – to the external resource of media ESG sentiment.

Employing Python software, this research extracted over two million ESG-related news articles from Baidu News. Using machine learning and text analysis, the study assesses the media ESG sentiment and its correlation with the competitive strategies of China’s A-share listed companies over a period from 2007 to 2022. The approach leverages RDT to understand how firms adjust their strategies in response to media-driven public sentiment on ESG.

The findings indicate that positive media ESG sentiment acts as a crucial external resource, significantly influencing firms’ strategic alignment toward minimizing ESG public sentiment risks and enhancing competitive positioning, especially in the social (S) and governance (G) domains. This alignment is evident in firms’ adoption of differentiation and cost leadership strategies, affirming the study’s theoretical prediction within the RDT framework.

This paper provides a novel contribution by integrating RDT with the analysis of media-driven ESG sentiment to explore corporate strategic adjustments. It offers empirical evidence on the theory’s applicability in contemporary strategic corporate management, particularly in the context of ESG challenges. The research deepens the understanding of the interplay between media ESG sentiment and corporate strategy, highlighting the strategic importance of positive media sentiment in the ESG landscape.

The purpose of this paper is to systematically investigate the hydraulic fracture branching phenomena in porous media under different loading conditions and the stepwise phenomenon. The effect of the pore pressure in hydraulic fracturing branching is studied, and more evidence for the stepwise phenomenon with the peridynamics approach is provided.

A fully coupled fluid-filled explicit peridynamics model is developed to simulate the complex evolution of crack branching and stepwise phenomena in saturated porous media. Based on the peridynamics theory, an explicit time integration scheme is used to solve the coupled equation system including rock deformation, fluid flow and fracture propagation. Using the proposed model, a series of peridynamic computational tests are performed to examine two common kinds of phenomena observed in hydraulic fracturing: the crack branching phenomenon and the stepwise phenomenon.

For crack branching phenomenon, the results obtained indicate that sufficient loading is required in order to initiate the crack branching process. Compared with the stress applied on crack surfaces condition, crack branching is more easily induced with the stress applied on boundaries. In addition, for the fluid-driven crack (stress applied on crack surfaces), the existence of pore pressure will depress the growth and branching of the crack. For stepwise phenomena, the results obtained indicate that the peridynamics is a promising tool to study the stepwise phenomenon. The stepwise phenomenon is more distinct under mechanical loading conditions due to the solid behaviour. A sudden jump or crack extension will happen when enough energy is accumulated in the hydraulic fracturing system.

In this study, the explicit method is used, which means it is conditionally stable, and the critical time step needs to be decided. The reason to use the explicit method is for the study purpose; the explicit method is faster and has no need for matrix inversions.

This study helps to understand the effect of the pore pressure in hydraulic fracturing branching and provides more evidence for the stepwise phenomenon with peridynamics.

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

Several challenges and issues are involved in successfully managing and improving the port logistics system (PLS) performance. Ports still face issues, including insufficient cargo handling equipment or equipment sharing during loading and unloading, which requires manual container inspection and delays clearance. This research aims to enhance the port logistics performance at one of India's cargo-handling ports. This paper seeks to identify various situations, actors, processes, learnings, actions and performance metrics particular to India's major container handling port.

The study objectives are accomplished using the Situation-Actor-Process–Learning-Action-Performance (SAP-LAP) framework, Fuzzy Analytic Hierarchy Process (FAHP) and Interpretive Ranking Process (IRP). The FAHP prioritises or ranks actions in a fuzzy environment. The ranking obtained by the FAHP method is assessed using the IRP approach.

This study examined action criteria and sub-attributes that define a PLS's effective implementation regarding handling containers in India. The results illustrate that strategic action must be prioritized first, followed by infrastructural and operational development, Technology upgradation and new methods and Training and Development initiatives.

This research provides a logical framework for evaluating the importance of various actions throughout the decision-making process. It would assist managers and practitioners in interpreting the impact of critical actions on performance and improving the operation of PLS by constructing resilient and adaptable solutions.

The study integrates methodologies like the IRP, SAP-LAP and FAHP. It focuses on various actions for an effective port logistics implementation system. The findings of this study allow decision-makers to understand interpretative reasoning by performing pairwise comparisons among the factors.

Intermodal freight transport (IFT) promises to reduce freight transport emissions by combining multiple transport modes. Emerging digital platforms seek to address the increasing complexity that arises from a combination of transport modes, yet the understanding of their business models remains limited. This study provides in-depth insights into the current characteristics and future dynamics of IFT platform business models.

Using an inductive qualitative research approach, we gathered data from 19 semi-structured interviews. Based on this empirical data, we derived a comprehensive business model taxonomy, identified distinct platform archetypes and explored their future dynamics.

Four platform archetypes are identified: Marketplaces and Self-Brokers facilitate easy booking by matching supply and demand. Data Hubs and Collaboration Hubs digitize data exchange between IFT actors. While Marketplaces and Data Hubs are operated by digitally dominated entrants, Collaboration Hubs and Self-Brokers are launched by intermodal incumbents as a digital extension of their physical transport services. Platforms operated by intermodal incumbents with a considerable customer base possess strategic advantages, potentially outperforming the business models of digitally dominated entrants in the future.

Although this study focuses on the German IFT market, the developed taxonomy sets the ground for qualitative research of other platform-based business models and encourages the validation of our findings through quantitative research.

By being the first to comprehensively systematize IFT platform business models and their future dynamics, our study creates an in-depth understanding of how digital platforms can contribute to a modal shift from road freight transport to environmentally friendly IFT.

This study aims to examine the impact of ESG performance on financial risk (FR) in energy firms from developing countries. It also explores the moderating roles of ESG controversies and board gender diversity (BGD) on this relationship.

The research uses a panel data set of 218 energy firms from 20 developing countries from 2019 to 2024, using two-stage least squares regression to address potential endogeneity. Robustness checks are conducted using fixed-effects estimation and pooled ordinary least squares.

The results indicate that superior ESG performance significantly reduces both total and systemic risk. ESG controversies positively moderate the relationship between ESG performance and FR, suggesting that controversies may weaken the risk-reducing benefits of strong ESG practices. Additionally, BGD significantly strengthens the negative relationship between ESG performance and FR. Robustness checks confirm the consistency of these findings across different estimation methods.

This study contributes to the growing body of literature by examining the role of ESG performance in FR mitigation, specifically within the energy sector in developing countries. To the best of the authors’ knowledge, this is the first research to explore these dynamics in this specific context. This study uniquely illustrates how ESG controversies and BGD significantly moderate the ESG–risk relationship, offering fresh insights that extend stakeholder, risk management and legitimacy theories. The findings highlight the importance of integrating ESG factors into corporate governance and risk management, particularly for firms operating in high-risk, high-impact industries such as energy.