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The contribution of project success and the organisation's efficiency is consensual in the literature. However, the value of project management (PM) brings to the organisation's effectiveness through the alignment with strategy, contributing to its competitiveness and business success, is yet little explored. This study addresses the literature gap that concerns the relationship between PM and the organisation's competitiveness, proposing a holistic conceptual model to understand of how PM brings value to the organisation. This work also aims to demonstrate the practical implications of theoretical contributions to the value of PM. For this, a detailed action research (AR) was planned to show how researchers and practitioners could work and collaborate in a real problem and prove the AR approach's adequacy to the PM field.

The methodology starts with a systematic literature review (SLR), followed by content analysis to develop a conceptual model of PM's value. To validate the theoretical constructs and transfer the results to real context, an AR plan is then carried out to support a specific PM problem presented by an automotive industry company.

The results have theoretical and practical implications. An original conceptual model is developed–the value of PM: Key factors–defending a multidimensional and holistic perspective to understand the PM's value. A set of key factors was identified, structured, interrelated and exemplified their practical implementation in a single company. In addition to the technical key factors identified in the literature review, the AR plan unveils crucial social aspects to improve PM's value, such as leadership, strong communication and open processes. This work shows the central role of PM methodologies in integrating and interconnecting the key factors, emphasizing the projects' strategic level.

The present work was developed in a specific and particular organisational context and industry.

The AR plan presents a company's original programme–Hyper Competitiveness (HC) Temple–implemented in an automotive company. Project management professionals could understand how this company implemented each key factor, defended in a conceptual model and lead the project's results to the business value.

The research originality lies in rethinking PM's value to organisations from a holistic perspective: multi-dimensional, temporal, life cycle, multi-organisational, pointing out a set of technical and social key factors.

This research uses contingency theory and Venkatraman’s concept of moderating fit to explore how key project stakeholders (clients, consultants and suppliers) influence project performance from the perspective of small and medium contractors in the Jordanian construction industry.

An anonymous structured survey was performed comprising 200 key informants including senior project managers, construction managers, engineers and general managers working for small- and medium-sized contractors in the Jordanian construction industry. The Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data.

The results of this study show that consultant-related factors (quality of documentation produced, ability to communicate and technical competencies) are perceived to have the most significant direct effect on project performance, followed by client-related factors (payment promptness, decision certainty and documentation control) and supplier-related factors (supplier performance, defects control and logistics management).

The results contribute new theoretical, empirical and practical insights to existing construction project performance research by highlighting the key performance factors which need to be managed for each stakeholder group to ensure effective project performance from a small- and medium-sized contractor perspective.

The purpose of this paper is to study whether quality certified hotels develop some managerial key factors in a significantly better way and have better performance.

The empirical data were collected from a sample of 303 Spanish hotels. Hotels were grouped as certified and non‐certified hotels and the differences were analysed between these two groups in relation to the key factors and performance variables.

Certified hotels develop better the key factors and have better performance. This supports the findings related to this issue in other industries and expands the literature on quality management in the hotel industry.

Quality certifications in hotels may be an important strategic initiative because they may facilitate the development of key factors and may have an impact on firm performance.

The paper reinforces the fact that the quality certification is also important in the hotel industry, where the more scarce literature on this issue in this industry suggests that it is necessary to analyse the relationship of quality certification on firm performance.

The purpose of this paper is to identify the key performance factors that can lead toward sustainability in the Industry 4.0 supply chains of manufacturing industries.

Questionnaire is used to collect the data from manufacturing sector to prioritize the factors, which integrates both Industry 4.0 and sustainability. For this, stepwise weight assessment ratio analysis (SWARA) method is used to obtain the weights for criteria and sub-criteria to prioritize the factors.

The present study brings the findings about five key performance factors. Social factor needs much attention among all the criteria, followed by ecological, economic, information technology and dynamic capability theory. Further, change management, third-party audits and novel business models are key sub-factors to improve performance of sustainability in Industry 4.0 supply chains.

This study prioritized the performance factors of Industry 4.0 and sustainable supply chain in Indian manufacturing sector. These prioritized factors help to improve performance of organizations, which are practicing the Industry 4.0 and sustainability practices. Managers in manufacturing industries can use the SWARA for assessment of weights for the criteria and sub-criteria factors to take appropriate decisions to improve the organizations’ performance.

Managers in manufacturing industry can use these prioritized factors to improve the performance of their supply chains.

Establishing alliances between social economy enterprises (SEEs) is considered to be a solution to the problem of providing enough resources and knowledge to compete in the global market and, at the same time, to maintain identity and ownership. Nevertheless, an important number of alliances breaks up after several years. Therefore, the purpose of this paper is to study the key factors that affect alliances’ development and outcome. In this study, the success factors that have been extensively tested in investor-owned companies are assessed in SEEs, which present important differences in organizational issues and corporate principles and values.

This study defines a scale that includes the most important factors that might be controlled by SEE managers to develop successful alliances. These factors are grouped into three categories: relational capital, relationship governance and the partner selection process. The study also assesses the impact of these factors on alliance performance.

Statistical analysis through structural equation modelling shows that relationship governance and the partner selection process have a significant impact on performance. Therefore, they can be considered success factors in alliances among SEEs.

Taking into account the relevant contribution of the SEEs to the European economy, and having noted the scarce number of studies about alliances success factors in the social economy sector, this study offers a significant contribution to this research field. Moreover, findings will be also interesting for SEE managers and social economy authorities when designing programmes to empower and support alliances.

This paper aims to present the development of a holistic campus facility management (CFM) performance assessment framework that incorporates a fuzzy logic approach and integrates a comprehensive set of key factors for successful management of campus facilities. The devised framework aims to cater to the needs of campus facilities management firms and departments for the purpose of gauging and assessing their performance across different management domains. Through this approach, facility management organizations can detect potential areas of enhancement and adopt preemptive steps to evade issues, foster progress and ensure success.

After a comprehensive analysis of the literature, conducting in-depth interviews with industry experts and employing the Delphi technique in two rounds, a total of 45 indicators critical to CFM success were identified and subsequently sorted into seven distinct groups. Through an online questionnaire, 402 subject-matter experts proficiently assessed the significance of the critical success indicators and their groups. A fuzzy logic framework was developed to evaluate and quantify a firm's compliance with the critical success indicators and groups of indicators. The framework was subsequently weighted using computations of the relative importance index (RII) based on the responses received from the questionnaire participants. The initial section of the framework involved a comprehensive analysis of the firm's performance vis-à-vis the indicators, while the latter part sought to evaluate the impact of the indicators groups on the overall firm's performance.

The utilization of fuzzy logic has uncovered the significant effects each effective CFM key indicator on indicators groups, as well as the distinct effects of each CFM indicators group on the overall performance of CFM. The results reveal that financial management, communications management, sustainability and environment management and workforce management are the most impactful indicators groups on the CFM performance. This suggests that it is imperative for management to allocate increased attention to these specific areas.

This study contributes to the advancement of current knowledge by revealing vital indicators of effective CFM and utilizing them to construct a thorough fuzzy logic framework that can assist in evaluating the effectiveness of CFM firms worldwide. This has the potential to provide crucial assistance to facility management organizations, facility managers and policymakers in their quest for informed decision-making.

The purpose of this paper is to provide practical justification for performance measurement and management within a collaborative business network. The basic performance measurement indicators are elaborated within the scope of this research.

Performance measurement techniques are highlighted through the application of an ICT‐based solution approach, with special focus on business collaboration among small and medium sized enterprises (SMEs).

From the basic need to measure the performance of individual partners within a business network, this research proposes a generic framework and process flow with the objective of evaluating the individual partners in terms of various performance indicators such as key success factors (KSF), key performance factors (KPF) and key performance indicators (KPI). The outcomes from this framework or process flow will help partners in the network to build valuable trust, cooperation and coordination.

The focus of this paper is to demonstrate the methodological approach of measuring the performance through identifying and prioritizing the performance indicators (KSF, KPF, KPI) among collaborative partners and to highlight their importance for successful business operations.

It is estimated that more than half of the construction industry’s projects encounter significant cost overruns and major delays, resulting in the industry having a tarnished reputation. Therefore, it is crucial to identify key project cost and schedule performance factors. However, despite the attempts of numerous researchers, their results have been inconsistent. Most of the literature has focused solely on the construction phase budget and time overruns; the engineering/design and procurement phase costs and schedule performances have been rarely studied. The paper aims to discuss these issues.

The objective of this study was primarily to identify and prioritize engineering, procurement and construction key performance factors (KPFs) and to strategize ways to prevent performance delays and cost overruns. To achieve these objectives, more than 200 peer-reviewed journal papers, conference proceedings and other scholarly publications were studied and categorized based on industry type, physical location, data collection and analysis methods.

It was concluded that both the time required to complete engineering/construction phases and the cost of completing them can be significantly affected by design changes. The two main causes of delays and cost overruns in the procurement phase are construction material shortages and price fluctuations. Other factors affecting all phases of the project are poor economic condition, equipment and labor shortages, delays in owners’ timely decision making, poor communication between stakeholders, poor site management and supervision, clients’ financial issues and severe weather conditions. A list of phase-based strategies which address the issue of time/cost overruns is presented herein.

The findings of this study address the potential confusion of the industry’s practitioners related to the inconsistent list of potential KPFs and their preventive measurements, and pave the way for the construction research community to conduct future performance-related studies.

This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

This study aims to develop and empirically test a model that describes the factors influencing a firm’s export performance; a model that can be adopted by future export researchers, policymakers and practitioners. Specifically, this study aimed to identify the main factors affecting the export performance of manufacturing small- to medium-sized enterprises (SMEs) in Rwanda and determine the extent of influence of each identified factor on export performance.

The research design combines both exploratory research and causal research designs to test the proposed model. Interview guide and survey questionnaires were used to collect the raw data. The collected quantitative data were analysed using the structural equation modelling technique with the Analysis of Moment Structures software.

The findings revealed that all the factors identified, namely, organisational, entrepreneurial and industrial, and market factors had a significant positive impact on the export performance of SMEs. Moreover, entrepreneurial factors were proven to be the most influencing factors in export performance followed by market-level factors. In this context, the proposed resource-market-based model of export performance was tested and validated in a less developed country, Rwanda, for exporting SMEs.

The proposed model of export performance extends the existing literature in two ways: firstly, it integrates internal and external factors to explain the export performance of an SME and secondly, it tests the relative importance of these factors in driving and maintaining international performance.