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Due to the high rate of failure of most crowdfunding projects, knowing the most essential factor to obtain funding success on the crowdfunding platform is of great importance for fund seekers on the crowdfunding platform. The purpose of this study is to explore crowdfunding success factors to know the most essential success factor for stakeholders of the crowdfunding platform to make the best decision when seeking funds on the crowdfunding platform. This study identified and ranked crowdfunding success factors for stakeholders of crowdfunding platforms. Sixteen factors were identified and categorized under five broad headings. These were; project ideas, target capital, track records, geographical proximity and equity.

To rank the identified crowdfunding success factors and subfactors, this study used the Multi-Objective Optimization Based on Ratio Analysis (MULTIMOORA) integrated with the Evaluation based on Distance from Average Solutions (EDAS).

Target capital ranked first among the five categories—while duration involved in raising funds ranked first among the sixteen subfactors. An approach for analyzing how each success factor enhances a crowdfunding campaign was developed in this study. This study provides valuable insight to fund seekers on the crowdfunding platform on how funding success can be achieved by knowing which factor to consider essential when seeking funds on the crowdfunding platform.

This is the first study to explore crowdfunding success factors using the MULTIMOORA-EDAS method. The use of this method will help fund seekers on the crowdfunding platform to know which crowdfunding success factor is essential, thereby aiding fund seekers to make the best decision when seeking funds on the crowdfunding platform. Also, this study is particularly helpful for business owners, platform operators and policymakers when deciding how to allocate resources, plan campaigns and implement regulations.

This study assesses performance measurement (PM) system implementation efforts across various organizational contexts and investigates which factors are critical to achieving implementation success (IS).

An empirical field study was conducted to refine a framework of PM system IS that consists of 5 dimensions of success and 29 factors. A survey questionnaire was used to investigate actual organizational practice and exploratory factor analysis was conducted to refine constructs corresponding to potential factors and dimensions of IS. The resulting variables were then investigated using multiple regression analysis to identify critical success factors for implementing PM systems.

The survey was completed by representatives from 124 organizations and the exploratory factor analysis results indicated that there are three underlying dimensions of IS (i.e. Use of the System, PM System Performance, and Improved Results and Processes) and 12 factors. Of the factors, nine can be considered critical success factors having a significant relationship with at least one dimension of IS: Leader Support, Design and Implementation Approach, Reward System Alignment, Organizational Acceptance, Organizational Culture and Climate, Easy to Define Environment, IT Infrastructure Capabilities, PM System Design Quality, and PM Participation and Training.

The results show that there are distinct dimensions of IS and, although some factors are associated with all dimensions, most are more closely related to only one dimension. This suggests that different strategies should be utilized based on the types of challenges experienced during implementation.

Effective information security management (ISM) contributes to building a healthy organizational digital ecology. However, few studies have built an analysis framework for critical influencing factors to discuss the combined influence mechanism of multiple factors on ISM performance (ISMP). This study aims to explore the critical success factors and understand how these factors contribute to ISMP.

This study used a mixed-method approach to achieve this study’s research goals. In Study 1, the authors conducted a qualitative analysis to take a series of International Organization for Standardization/International Electrotechnical Commission standard documents as the basis to refine the critical factors that may influence organizations’ ISMP. In Study 2, the authors built a research model based on the organizational control perspective and used the survey-based partial least squares-based structural equation modeling (PLS-SEM) approach to understand the relationships between these factors in promoting ISMP. In Study 3, the authors used the fuzzy set qualitative comparative analysis (fsQCA) method to empirically analyze the complex mechanisms of how the combinations of the factors affect ISMP.

The following three research findings are obtained. First, based on the text-based qualitative analysis, the authors refined the critical success factors that may increase ISMP, including information security policies (ISP), top management support (TMS), alignment (ALI), information security risk assessment (IRA), information security awareness (ISA) and information security culture (ISC). Second, the PLS-SEM testing results confirmed TMS is the antecedent variable motivating organization’s formation (ISP) and information control (ISC) approaches; these two types of organization control approaches increase IRA, ISA and ALI and then promote ISMP directly and indirectly. Third, the fsQCA testing results found two configurations that can achieve high ISMP and one driving path that leads to non-high ISMP.

This study extends knowledge by exploring configuration factors to improve or impede the performances of organizations’ ISM. To the best of the authors’ knowledge, this study is one of the first to explore the use of the fsQCA approach in information security studies, and the results not only revealed causal associations between single factors but also highlighted the critical role of configuration factors in developing organizational ISMP. This study calls attention to information security managers of an organization should highlight the combined effect between the factors and reasonably allocate organizational resources to achieve high ISMP.

This paper aims to identify the success factors (SFs) for total quality management (TQM) implementation in automotive spare parts companies to improve their business performance. It also intends to rank these factors in a hierarchical structure in descending order of their criticality.

In this study, a significant number of automotive spare parts companies were extensively surveyed to ascertain the contributions made by various factors toward the successful deployment of TQM practices. The collective and individual evaluation and ranking of the SFs were determined using the analytical hierarchy process (AHP) approach to develop the framework based on the prioritisation of the identified SFs.

The findings of the study show that five success factors, namely, internal environment, top management involvement, process management, supplier management and external environment, were ranked as critical factors with a total weight of 49.2%. Nine success factors, namely, employee training, teamwork, customer satisfaction, continuous improvement, communications, using new technologies, zero-defect processes, employee empowerment and benchmarking, were ranked as important with a total weight of 39.1%. The last five success factors, namely, strategic planning, quality policy, employee satisfaction, self-assessment and cost of quality, were ranked as minor factors with a total weight of 11.7%.

The current study adds to the existing body of knowledge for scholars and practitioners of TQM by specifically focusing on identifying and categorising the critical SFs for TQM implementation. The 19 categorised critical SFs have been used to construct a framework for TQM implementation in the Palestinian automotive spare parts companies. Such a framework would offer a comprehensive overview of the SFs, their categories, significance and priorities within a TQM environment in the automotive spare parts companies.

The purpose of this paper is to assess the success factors in a large organization that contributed to the success of organizational transformation (OT) through business diversification using a complex adaptive systems (CAS) framework. This assessment is done to determine how well the CAS framework can explain the success factors that contribute to the success of large-scale organizational change in complex organizations. If the CAS framework is capable of explaining the organizational factors that lead to the success of change implementation, the managers can employ this framework to increase the likelihood of success while implementing change.

This study uses qualitative research methodology. The data were collected from the case study organization (CSO) through 40 in-depth semi-structured interviews and analyzed using thematic deductive analysis approach.

The CAS framework explains the success factors that contribute to the success of OT through business diversification.

This paper provides a comprehensive guide for change implementation by combining the insights from the CAS framework with identified success factors (for change implementation) from the case organization.

The originality of this paper lies in extending the principles of existing change models, for successful change implementation by using the CAS framework. The prescribed change models and the CAS framework/complexity theory are two distinct sets of literature; this paper successfully merges the two to develop a comprehensive set of guidelines for change implementation. By doing so, this paper highlights the fact that alternative, non-linear, change approaches, instead of conventional multistep change models, can be effective in implementing large-scale organizational change successfully given the complexities of current organizational environments.

The document underscores the need for systematic smart mobility policies to advance smart cities, addressing resource waste and environmental issues. Recognizing challenges in adopting efficient smart mobility, the paper seeks to fill a literature gap by identifying governance-related best practices and success factors. The objective is to develop a clear framework for smart mobility adoption with policy implications, especially for Euro-Mediterranean (EuroMed) Smart Cities, reducing congestion and costs while promoting sustainability through data-driven decision-making and integration models.

To conduct the study, we adopt a multiple-case approach, examining different smart mobility applications in three of the world's most relevant smart city contexts according to international rankings, namely New York, Copenhagen and Singapore. Starting with the framework emerging from the research sample, which is representative of three different continents and cultures, a comparative assessment is then made with two EuroMed Smart Cities, highlighting their relative gaps.

The paper presents an innovative framework for smart mobility that highlights five key success factors. In addition to highlighting related gaps with a sample of EuroMed Smart Cities, it offers guidelines and implications for administrators, policy makers and mobility managers.

This success framework is a powerful tool, framework and guideline with numerous theoretical and managerial implications. Indeed, it directs policymakers, policymakers and mobility managers toward creating innovative business models for sustainable smart mobility, maximizing the efficiency of the centralized urban system, reducing negative externalities, breaking down barriers and pursuing greater efficiency, resilience and equity in the accessibility, mobility and sustainable livability of smart cities.

The purpose of this paper was to first identify and then model the impact of critical success factors (CSFs) of public–private partnership (PPP) power projects.

Review of empirical literature came out with 20 CSFs which were ranked by experts and industry practitioners through a two-round Delphi questionnaire survey.

These CSFs were grouped into CSF groups (CSFGs) using component analysis, and they served as the input variables for fuzzy analysis. The six components were collaboration and transparency, guarantee and permits, socio-political support, expected profitability, technical feasibility and risk allocation (RA). Overall success index of PPP power projects in Ghana was 5.966 and showed there is high impact of CSFGs on project success. Fuzzy analysis also confirmed RA as the most significant CSFG.

The model developed can serve as a multi-dimension CSF framework that can be used as a success attainment tool for PPP power projects. For policy developers and stakeholders, the model serves as a pointer to issues which the government/public sector must focus on to attract huge investments from the private sector in the power sector.

The purpose of this paper is to examine the importance of contractual management (CM), process management (PM) and human management (HM) factors as critical success factors (CSFs) in Malaysian housing projects. Additionally, it delves into the moderating influence of knowledge sharing (KS) on the relationship between HM and project success.

This study used a survey-based instrument to collect data from a total of 133 G7 class contractors. The stratified sampling method was used for data collection. Subsequently, structural equation modeling with SmartPLS was used for model evaluation.

The findings of this study indicate that CM, PM and HM exhibit significant relationships with housing project success. Furthermore, the research reveals that KS acts as a moderator in the relationship between HM practices and the success of housing projects.

Although this study identified a significant relationship in explaining CSFs for housing project success in Malaysia, it only considers internal CSFs such as CM, PM and HM. It is suggested that future research incorporate external factors such as political support, national policy, currency stability and industry structure to provide a more comprehensive understanding of housing project success.

The results provide supportive evidence that CM, PM and HM are important CSFs in the success of housing projects. This finding is consistent with relational contractual theory, systems theory and social interaction theory. Moreover, the research underscores the nuanced impact of KS, serving as a moderating factor in the association between HM and project success. Consequently, these outcomes substantiate the applicability of the socialization, externalization, combination and internalization framework within the construction sector, particularly within the sphere of housing sector.

Official development assistance (ODA) education projects have played a crucial role in improving education and training fields in developing countries, but are often facing several considerable challenges (e.g. long implementation time). Thus, this study aims to identify critical success factors (CSFs) in ODA education projects and investigate the influences of CSFs on ODA project performance measured by 11 nonprofit outcomes (NPOs).

A comprehensive literature review and expert interviews were conducted to compile a list of 35 potential success factors for ODA education projects. Using a survey questionnaire, 143 valid responses were collected from practitioners joining ODA projects in Vietnam. Various statistical methods (e.g. mean score method, Spearman rank correlation test, analysis of variance test, factor analysis and regression analysis) were used to analyze the collected data.

This research identified seven CSFs for ODA education projects in Vietnam: comprehensive project management competency (C1), clarity and compliance in project execution (C2), transparency and committed funding (C3), external context conditions (C4), well-controlled design and project management procedures (C5), preparations in equipment and complexity insight (C6) and punctual site delivery (C7). Furthermore, the results of regression analysis indicated that comprehensive project management competency (C1) and transparency and committed funding (C3) could significantly affect various NPOs.

This study offers significant insights for practitioners (e.g. project managers) to improve ODA projects’ performance and effectiveness in the education and training sector of a developing country context (like Vietnam).

The construction industry is witnessing a paradigm shift as a consequence of the fourth industrial revolution (IR 4.0). The implementation of IR4.0 technologies is, however, elementary in emerging economies such as Saudi Arabia. Therefore, the purpose of this paper is to carry out an examination of benefits, challenges and critical success factors for IR4.0 implementation in the construction industry in Saudi Arabia.

The methodology entailed a thorough review of the extant literature and consultation with experienced construction professionals in Saudi Arabia through questionnaire surveys. The data collected was further analyzed using the relative importance index approach and the confirmatory factor analysis.

The most important benefits, challenges and critical success factors established by this study include “Improved Communication and Coordination,” “Cost of implementation (initial investment and maintenance)” and “Clear goals and objectives,” respectively. Confirmatory factor analysis established a theoretical model to serve as a foundation for IR4.0 adoption in the Saudi construction industry.

The limitations may be perceived in terms of the local context of the research, as well as the sample size. This prevents the potential for generalization of the study’s results.

It is of practical value to the Saudi construction industry in facilitating the successful implementation of technology through policies, frameworks and best practice guidance.

The study advances the theoretical knowledge of technology implementation in the construction industry. Emerging economies such as Saudi Arabia seeking to leverage the capabilities of digital technologies will find the results of this to be of crucial value.