Success Factors Model Research Articles

Model of driving factors for success in public health project management using structural equation modeling

In a context where pandemic crises and chronic conditions are a constant and increasing threat, the success of public health projects is absolutely critical. However, little is known about the factors that influence the success of projects that aim to provide conditions for people to be healthy and prolong the life of the population as a whole. A mixed-method study was carried out to fill the literature gap, resulting in a new model of success factors for public health projects. The research work theorizes the success factors that impact public health project success, providing relevant knowledge for project managers and contributing to the successful management of public health projects.

MANAGEMENT OF EMERGENCY MEASURES PROJECT OF ALGIERS’S KASBAH

Management strategies for the conservation and safeguarding of cultural heritage in general, and urban heritage in particular, have evolved greatly over the past two decades. The relationship between heritage and development is now omnipresent in the policies of construction or reconstruction of territories, where the major challenges lie in their enhancement. Algeria does not have a great deal of experience in the management and administration of heritage safeguarding and enhancement projects, whether urban or architectural, as evidenced by the significant number of projects that remain unfinished or incomplete due to a lack of efficiency. Within the framework of the Permanent Plan for the Safeguarding and Enhancement of the Protected Historic District (PPSMVSS) for the protected historic city of Algiers, emergency projects have been launched to slow down or even stop the deterioration of this heritage site. The objective of this study is to understand the process of formalizing and managing projects in protected historic districts, as well as the interactions between the different stakeholders involved.The methodology used combines on-site surveys, interviews, and questionnaires with the various stakeholders. It refers to the conceptual model of project success factors developed by Pinto and Slevin, in order to evaluate these operations, which have not led to theexpected results.

Higher Education Success Factor Model: A Means to Explore Factors Influencing Indigenous Australian Completion Rates

Higher Education Success Factor Model: A Means to Explore Factors Influencing Indigenous Australian Completion Rates

Culture and law enforcement influence on m-government adoption: An exploratory study

In an era characterized by technological advancement and innovation, the emergence of Electronic Government (e-Government) and Mobile Government (m-Government) represents significant developments. Previous studies have explored acceptance models in this domain. This research presents a novel acceptance model tailored to the context of m-Government adoption in Jordan, integrating the Information System (IS) Success Factor Model, Hofstede’s Cultural Dimensions Theory, and considerations for law enforcement factors. The primary objective of this study is to investigate the strategies for promoting and enhancing the adoption of m-Government applications within Jordanian society. Data collection involved the distribution of 203 electronic questionnaires, with subsequent analysis conducted using SPSS. The findings reveal the acceptance and significance of three hypotheses: Information Quality, Service Quality, and Power Distance. Additionally, the study incorporates the influence of Law Enforcement factors, contributing to a comprehensive understanding of the multifaceted determinants shaping the adoption of m-Government services in Jordan.

Modeling of success factors of using PU coats in concrete construction projects

Polyurea coatings are well recognized for their remarkable protective properties, making them highly appropriate for practical use in the field of concrete building. The use of polyurea coatings in the concrete building business is currently constrained, despite its prevalent application in industrialized nations. The limited use may be ascribed to ambiguities about the determinants of effective implementation in this particular setting, as well as the dearth of extensive study in the realm of new building materials. The primary objective of this research is to assess and conceptualize the key determinants linked to the use of polyurea coatings in concrete building endeavors. Utilizing a quantitative research approach, a comprehensive literature analysis was conducted to identify a total of 21 probable success variables. The reliability of the questionnaire was established by the administration of a pilot survey, and afterwards, an exploratory factor analysis (EFA) was performed to enhance the clarity and precision of the underlying components. The researchers used structural modeling (SEM) approaches to develop a robust model using the primary data obtained from the questionnaire survey. The EFA revealed the presence of five unique constructs that have an impact on the effectiveness of polyurea coatings in concrete building projects. These constructions comprise several characteristics, including environmental considerations, functional requirements, protective properties, execution processes, and creative elements. The significance and relevance of this research are shown by the validation of the study's results using SEM. The study makes a valuable contribution towards the progression of polyurea coating use within the concrete building sector.

Critical Success Factors for the Implementation of Public-Private Partnerships in Zimbabwe's State Universities

A weakness of the extant Public-Private Partnerships (PPPs) literature to date has been its normative approach to the subject, creating in effect, a 'one size fits all view' of the preconditions or Critical Success Factors (CSFs) for the implementation of PPPs yet they vary with the context and sector. This study challenges the existing prominent CSFs model for the implementation of PPP which it perceives to be broader and biased towards economic infrastructure in rich industrial nations and excludes the realities of post-colonial third world countries. The research developed a refined sector-specific Educational Infrastructure Critical Success Factor Model (EICSFM) that will inform effective implementation of educational infrastructure PPPs in Zimbabwe state universities. Validated suggestions from research participants were compared to the existing model used to guide this study and results showed that some of the suggested CSFs for PPPs in Zimbabwe state universities tallies with this extant widely accepted CSFs model for PPPs, whereas some differ. The new suggested emerging sector-specific CSFs for effective implementation of PPPs in state universities include; the need for state universities to have absolute autonomy, the establishment of institutional PPP Committees, state universities to be creative and aggressive, vibrant leadership at state universities, universities to have good business orientation, the establishment of innovative PPPs models for educational infrastructure projects (social infrastructure projects), the creation of project bankability and attractiveness to investors, the need for political will and creation of trust. Comparing such suggestions to the extant CSFs model, the study concluded that even though some these preconditions for successful implementation of PPPs may be similar to some of the existing ones, their application is not similar but context-based. The study thus recommends governments avoid a ‘one size fits all’ perception and approach, but rather encompass sector-specific considerations when adopting and implementing PPPs as an alternative funding option for infrastructure development.

The Effectiveness of the Procurement at the Construction Services Selection Implementation Center

The construction industry still faces various challenges in some developing countries, and one of the problems is the procurement of goods and services. The allocation of public procurement funds is significant to the national GDP. It is essential to conduct comprehensive research on government procurement in the construction industry in Indonesia due to the rapid growth of the construction industry in the last decade. This research focuses on the procurement of construction goods and services in the Ministry of Public Works and Housing by looking at the perception of the government as the project owner. This research aims to identify a model of critical success factors to improve public procurement performance in the construction industry from the government's perspective. The research method includes two stages, namely, the development of critical success, which consists of crucial factors and indicators that affect the performance of public procurement in the construction industry. It is a literature study of relevant previous research results from various countries that affect these critical success factors. Then, the second stage is a survey of experts' perceptions through questionnaires. The questionnaire data analysis used SEM-PLS software to quantify the relationship model of critical success factors to improve the performance of government procurement of goods and services in the construction industry. Data processing results include: business process factors affect 97.1%, regulatory factors affect 90.1%, information system factors affect 63.1%, human resource factors affect 56.1%, organizational factors affect 46.1%, and monitoring and evaluation factors affect 38%. Doi: 10.28991/CEJ-2024-010-03-013 Full Text: PDF

Exploring Critical Success Factors in Software Projects through a System Thinking Lens

The aim of the paper is to enhance the effectiveness of critical success factor models by proposing an analytical-synthetic methodological framework that uses a holistic approach to understanding critical success factors. The paper outlines four steps to identify individual critical success factors, their interrelationships and finally utilizing systems thinking to develop a model of critical success factors for software projects. The study’s findings emphasize the significance of utilizing a system thinking approach to comprehend the interconnected critical success factors that contribute to a project system’s behavior and, consequently, its success. This research is pertinent to scholars investigating system thinking theory in project management and professionals seeking to create tools by integrating holistic approach into modern project management methodologies.

Transforming Financial Management: An RPA Implementation Case Study at PT Telkom Indonesia

PT Telkom Indonesia (Tbk) has addressed the challenges of the digital era through its "5 Bold Moves" strategy, which aims to enhance business sustainability. In alignment with this initiative, the Finance and Risk Management Directorate has adopted Robotic Process Automation (RPA) technology to improve operational efficiency and strengthen its role as a Business Partner. This research analyzes the factors determining the success of RPA implementation in the Directorate. It also explores the challenges and risks involved in the digital transformation process. A qualitative approach is used, including interviews, observations, and data collection from stakeholders involved in RPA, such as strategic planners, managers, and users. The Critical Success Factor (CSF) model for RPA by Plattfaut et al. (2022) served as the theoretical framework that categorizing 32 factors into three areas: RPA in the organization, development RPA, and Operation RPA. The findings reveal that the successful implementation of RPA at PT Telkom Indonesia is contingent upon several factors: RPA in the organization (strategic support, management commitment, organization culture, training, and communication); development RPA (management support, policy compliance, expertise, change management, and documentation); and operations RPA (resource management, compliance, monitoring, and evaluation). This study contributes to the body of knowledge on RPA implementation by providing insights into the challenges and risks faced by large organizations undertaking digital transformation initiatives. The findings can serve as a valuable reference for organizations seeking to leverage RPA to improve operational efficiency and drive innovation.

Evaluation of Learning Management Systems for Success Factors

Evaluating an information system for success is key. Evaluating success factors of a Learning Management System (LMS) is essential in perspective of information systems success in a developing country context. eLearning is vital to educational system considering its benefits and impacts, particularly in accessing learning from remote areas, suitable for different learners’ categories, minimal resource utilization in terms of cost and time. Through the literature reviewed on eLearning and Information System, the desire to determine the variables that measure the success factors for information systems continues. Existing Information System (IS) success models do not sufficiently evaluate eLearning in developing country, Uganda inclusive as the current IS success models are generic in nature. This study aimed to describe a model of information system success tailored to eLearning system, Kampala International University as a case study, a Uganda’s context. To address the above objective, a field study was conducted, using questionnaire to determine factors for information systems success in Uganda, a sample size of 370 respondents were used from population size of 5500 using Sloven formula. The respondents comprise of 340 students, 27 lecturers and 4 administrators. The identified success factors are skills & training, infrastructure and management support. Data were cleaned and analyzed using Statistical Package for Social Scientists version 20.0 (SPSS). This study adopted Delone and Mclean’s Information System Success model (2016) and extended it using factors obtained from the field study survey. Analysis was performed to evaluate the model. Results of the study showed that all the independent variables management support, infrastructure, skills and training are positively related to the dependent variable of intention to and use of information system. There exists a strong relationship between the multiple independent variables and the dependent variable. All factors identified, has positive impact in explaining the variation in intention to use and use of the system with r coefficient of 0.343, 0.406 and 0.406 respectively. The results of the study presented a model of success factors for Learning Management System, eLearning specifically. For future research, this study recommends conducting qualitative studies to delve deeper into the nuanced perceptions and experiences of learners and teachers as well as looking into policies that can promote eLearning especially in developing countries.

Critical Success Factors (CSFs) Model for Military Training Mobile Gaming Apps (MG apps)

Mobile gaming is a part of worldwide Information and Communication Technology (ICT) characterized by new paradigms and rapid growth (ICT). Integrating mobile games into military training equips trainee officers with the requisite effectiveness, efficiency, and enjoyment to accomplish training assignments. To ensure the optimization and quality of mobile gaming, it is vital to study key success factors (CSFs) to design app user interfaces. This study aims to develop a CSFs model of mobile gaming apps (MG apps) and assess the applicability of the model in military training. This research intends to examine the CSFs of MG apps, build a structure of CSFs of MG apps, and develop a CSFs model of MG apps for the purpose of military training. In the study, a sample of hundreds of cadet officers from the Malaysian Military Training Academy was utilized. The research was conducted in three phases: theoretical analysis, empirical study, and development of the proposed CSFs model of MG apps in military training. This paradigm is helpful to sectors of ICT and Defence Technology as an alternative way to ensure the success of the development of MG apps for military and armed forces education and training. This strategy also provides a new successful mechanism and assurance for using MG apps in military and armed forces education and training, as well as ICT-savvy cadet officers from Malaysia.

Structural Equation Modeling of The Critical Success Factors of Lean Six Sigma Implementation in Nigeria

This study investigates the critical success factors (CSFs) of Lean Six Sigma (LSS) implementation and their impact on organizational growth in Nigerian enterprises. The objectives were to identify crucial CSFs for successful LSS deployment and assess their significance in achieving organizational growth. A mixed-method approach was used, including literature analysis, expert judgments, and a survey of 130 participants from various industries. The survey questionnaire employed a 5-point Likert scale to collect data on LSS CSFs and implementation success metrics. Structural equation modeling (SEM) with SmartPLS 4.0 analyzed the data, revealing that LSS CSFs significantly contribute (up to 39.2 percent) to the success of LSS implementations. The study identified 12 critical LSS CSFs, categorized into workers, business, and management, each influencing LSS implementation. Recommendations include creating a supportive environment, providing comprehensive training, and prioritizing continuous improvement efforts for successful LSS deployment. Future research possibilities include longitudinal studies, sector-specific analyses, and qualitative investigations to deepen understanding and enhance LSS implementation outcomes. In conclusion, successful LSS implementation empowers Nigerian organizations with improved productivity, waste reduction, and sustainable production systems, leading to overall growth and success.

Data-driven decision making in advanced manufacturing Systems: modeling and analysis of critical success factors

ABSTRACT Data-driven decision making (DDDM) in advanced manufacturing systems (AMS) is the use of data to make smart decisions that improve manufacturing operations. Companies can make themselves more competitive, cut costs, and improve their production by using data analytics. The investigation of critical success factors aids companies in identifying vital areas that demand attention for the implementation of DDDM in AMS. This comprehension enables companies to devise effective strategies for the successful adoption of DDDM within AMS. In this research, twelve critical success factors that affect the use of DDDM in AMS were discovered and statistically analysed using an integrated methodology of ISM, MICMAC, and DEMATEL to create a hierarchical model. This research paper suggests that companies should focus on developing a skilled workforce and creating a data-driven culture to successfully adopt DDDM in AMS. Additionally, the findings highlight the importance of top management support and government initiatives in promoting the adoption of DDDM in manufacturing.

A Relevance-Based Technology–Organisation–Environment Model of Critical Success Factors for Digital Procurement Adoption in Chinese Construction Companies

With the emergence of digital transformation, there is an increasing need for Chinese construction companies to adopt digital procurement (D-procurement). However, there is a lack of theoretical foundation to guide and support the adoption practices. This study aims to fill the research gap through the provision of a model by grouping a set of relevance-based critical success factors (CSFs) into the Technology–Organisation–Environment (TOE) framework for D-procurement adoption success (DAS). A case study approach is applied in the research. We selected H Group as it is one of the most representative D-procurement cases in China. The study includes two parts. In the first part, a systematic literature review was conducted, and 17 CSFs were identified from 12 selected studies. By grouping the 17 CSFs into the TOE framework, we put forward a basic CSF–TOE model. In the second part, an in-depth interview was carried out in H Group, where the 17 selected experts were asked to rank the previously identified CSF. Based on their order of relevance, the 17 CSFs were re-organised in the basic CSF–TOE model, and a relevance-based CSF–TOE model was finally proposed. This study is vital for D-procurement adoption because most existing CSF studies are based on the literature and questionnaire surveys, and there is a lack of actual case studies. In addition, this study significantly contributes to the field of D-procurement adoption for construction companies by providing a theoretical framework for practice and a relevance-based CSF–TOE model for research.

Implementing Area Business Continuity Management for Large-Scale Disaster: A Total Interpretive Structural Modeling Approach

A large-scale disaster striking a fundamental infrastructure can disrupt the entire business area. Hence, Area Business Continuity Management (Area-BCM) is proposed to bring together stakeholders in the same area who aim to minimize economic losses and impacts due to a disaster. Its distinctive features consider public–private partnerships, critical external resources, and scalability of risk management. However, Area-BCM is still a long way from being successful as many challenges are found. This study aimed to build a model of success factors and analyze relationships among factors for Area-BCM implementation. The total interpretive structural modeling technique was utilized to construct a hierarchical model. Interviews and questionnaire surveys were performed for data collection. A process-automated tool was used to ensure accuracy and eliminate complicated calculations. The results indicate the foundation factors and critical suggestions to be grounded for success. The outstanding findings are the interpreted interrelationships in the final model. Moreover, cross-impact matrix multiplication applied to classification approach categorizes factors into four groups based on driving and dependence powers. The outcomes provide strong implications for Area-BCM practitioners or executors, helping them prioritize attention and prepare suitable strategies for successful implementation.

Assessing the Internal Critical Success Factors of Service Quality in Boatels: A Case Study of Egypt

Critical success factors (CSFs) are inputs that, directly or indirectly, can contribute to a project's success. CSFs contain a variety of components, traits, requirements, or characteristics that, if properly upheld, can have a significant impact on the project's performance. Primarily internal and exterior CSFs can be easily recognized. Each of these factors cost a lot of investment whether it is internal or external. Finding essential internal success variables that have an impact on service quality for better use of investment is the aim of this study. Holistically, this study aims to examine the key success internal factors and their impact on providing high-quality service in Cruises. Internal CSFs include six variables. i.e., Senior Management Experiences, Human Resources Management (HRM), Customer focus Service culture, Management Information System (MIS), and Social Responsibility. A scale for each of these variables was used. Two hundred sixty-four returned forms were analyzed using Structural equation modeling (SEM) was used to test the measurement model of service quality internal critical success factors using AMOS 4. Keywords: internal CSFs, CSF elements, service quality (SQ), cruise

Towards an ecology of athletes’ career transitions: conceptualization and working models

ABSTRACT In the present paper, we introduce an ecological view of career transitions. We consider an athlete’s development as a journey through various athletic and non-athletic environments that support their striving for career excellence. On this journey, an athlete experiences a multitude of environments and transitions from one environment (e.g., one club, one country or one sport) to another. To develop this understanding, we introduce the concept of a transition environment defined as a dynamic and temporary system that bridges the setting that an athlete is transitioning from and to. We also suggest two working models that in unison can work as a roadmap for transition environment research and practice. The transition environment (TE) model helps to describe the TE and the transition environment success factor (TE-SF) model helps to understand why certain TEs are more successful than others supporting athletes in transition. The models can be used by researchers studying specific transition environments to understand how such environments facilitate or hinder transitions, and by practitioners (coaches, managers, sport psychologists) to support athletes’ transitions by improving their TEs. We hope the idea of an ecology of athlete transitions will find its way into empirical studies of different types of transitions (e.g., to another sport, to another level in sport, to another club or to another country) in multiple cultural contexts and contribute to the development of career-long psychological support services.

Critical success factors toward a safe city as perceived by selected medium enterprises in the province of Nueva Ecija: A crafted business development policy model

The purpose of this study is to further characterize and evaluate the important success criteria of a safe city for medium-sized businesses in Nueva Ecija in the Philippines, which will be used for the business development policy model. A descriptive method was employed to collect quantitative data. In order to determine or estimate the degree to which the values for the variables are related or vary in a discernible pattern, the descriptive design is an appropriate method for enabling the collection of accurate and trustworthy data through survey measurement of two or more variables. Purposeful sampling, also known as judgment, selective, or subjective sampling is used. This is a sampling strategy in which researchers utilize their own judgment when selecting members of a population to participate in a study. A group of 100 owners of mid-sized businesses in Nueva Ecija served as the study's respondents. Other initiatives outside of Nueva Ecija are also included in this report. The Critical Success Factor (CSF) Model was created and served as the foundation for the questionnaire. The research indicates that the city government and the LGU effectively promote objectives, guidelines, safety, and security. Cities are evolving into smarter places using new technologies for monitoring, analyzing, and planning to increase efficiency and quality of life. Coordination between government and stakeholders is necessary to foster smart cities, and robust economies drive the adoption of safer city programs. The research recommends continuous development of law enforcement, new integrated systems, and recovery assistance after business emergencies. Additionally, the research suggests continuing to develop a long-term program for public space enhancement that integrates crime prevention, designs inclusive public spaces, implements traffic safety campaigns, and promotes safer driving practices.

Structural equation modeling of critical success factors in the programs of development regional

The Structural Equation Modeling SEM using SmartPLS.V3 software was used in this study to model the priority of CSFs of program management under four categories (program planning, strategy of the organization, stakeholders, and construction program performance) associated with Regional Development Programs RDPs in Iraqi provinces. Based on the literature review, the identified CSFs of program management have been explored through a systematic review approach. This model investigated the relationship and effect of CSFs on program management of regional development. The measurement model underwent three iterations to fulfil the threshold criterion, which included Cronbach's a being more than 0.7, CR being greater than 0.7, and AVE being more significant than 0.5. As a result, the model met the convergent validity. For every path modelling and hypothesis, the structural model is evaluated. The model produced a GoF of (0.524), regarded as sufficiently high to be considered for obtaining adequate global PLS model validity. The model's global GoF performance was also assessed, and the findings met the criteria. It is clear from the final model that there may be a connection between the main program management groups, as shown by the path model confirmed.

Gender Inequality at Work as a Factor of Women's Career Success

The research is devoted to the problem of studying mechanisms of influence of gender inequality on career success of working women. The aim of the study is to find the connection between manifestations of gender inequality and resources available for development in the workplace and the career success of a woman. A socio-psychological model of success factors for working women was developed, including both the organizational environment and career resources for predicting success. The study was conducted in two phases in 2020–2021 using an online survey on a sample of women working in organizations in different fields. In the first phase (206 women aged 19 to 62), the relationships of the individual constructs of the model were tested; in the second phase (781 women aged 18 to 82), the socio-psychological model was tested by structural modelling (SEM). The results of the study confirm a positive relationship of women's career success with the availability of organizational resources (R=0.56, p