Success Factors Research Articles

Impact of Critical Success Factors on Productivity Gain during Automation Testing

Software testing, a linchpin of quality assurance in software development, encompasses both manual and automation approaches. While manual testing ensures meticulous scrutiny, automation accelerates efficiency, reducing time and costs in dynamic landscape of software development. This research investigates the impact of critical success factors on productivity gain in software testing, with a focus on automation, within CMMI Level 5 companies. Drawing from a dataset comprising thirty real-time projects spanning banking, retail, and industrial applications, study explores dynamics of software development under agile and waterfall models. Interviews with developers and testers reveal insights into key aspects influencing productivity, including skills, experiences, and training. Emphasizing the need for strategic automation in projects subject to changes and maintenance, the research analyzes over thirty projects, scrutinizing variables such as manually designed test cases, execution time, and subsequent automation of test cases. Strategic selection of test cases for automation emerges as a cost-efficient practice. Results highlight a correlation between manual and automated test cases, indicating productivity gains. Research introduces a productivity gain metric, showcasing a break-even point where automation significantly reduces testing time. Overall, the findings offer a comprehensive understanding of software testing within CMMI Level 5, guiding organizations toward efficient automation practices and improved productivity.

Crucial Factors Influencing the Success of SMEs in the Digital Transformation Era

Small and medium enterprises (SMEs) have an important role as the backbone of a country's economy. However, in the current digital era, there are many challenges faced by SMEs in adopting digital transformation. Assumed limited literature that discusses the success factors of digital transformation in SMEs. Therefore, this research aims to explore the important factors for the success of digital transformation in today's SMEs. The method used in this research is to search for articles relevant to the research topic using the Google Scholar database. The research results show that digital strategic planning, digital maturity, relationship capital, and collaborating with external digital innovation units are the keys to successful digital transformation in MSEs today. The results of this research will provide input to SMEs and the government in making decisions to achieve the success and sustainability of SMEs, as well as enrich the literature that examines digital transformation in SMEs.

Satisfaction of patients with frozen shoulder following silent manipulation: a prospective observation study.

Silent manipulation is a procedure for frozen shoulders that involves manipulating the shoulder while the patient is awake by performing C5, C6, and C7 cervical nerve root block under ultrasound guidance. This retrospective study, conducted at Yokohama City University Hospital, aimed to evaluate the clinical outcomes of silent manipulation and assess whether the experience level of the practitioner influenced treatment efficacy. Between October 2020 and January 2022, 53 patients who met the inclusion criteria underwent silent manipulation for frozen shoulder. The procedure was performed by either an experienced or a less experienced practitioner, and the patients were followed-up for up to 1year post-treatment. Silent manipulation resulted in significant improvements in shoulder range of motion, as measured by forward flexion, abduction, external rotation, and hand-behind-back, as well as in patient-reported outcomes, including disabilities of the arm, shoulder, and hand and Shoulder 36 scores. These improvements were observed 1week, 3months, and 1year after silent manipulation, indicating the short-term efficacy of the procedure. Furthermore, this study revealed that the practitioners' level of experience played a significant role in the outcomes. The experienced doctor achieved better 1st external rotation and belt tying outcomes, as well as Shoulder 36 pain, muscle strength, and activities of daily living domain scores. This suggests that technical expertise in silent manipulation is crucial to achieve optimal outcomes. Silent manipulation offers an effective therapeutic approach for frozen shoulder, leading to significant improvements in range of motion and patient satisfaction. Practitioner expertise is a vital factor in treatment success, emphasizing the importance of skilled professionals in the performance of this procedure.

Online Based Learning System (E-Learning) as Distance Learning Method Solutions: A Literature Review

Purpose – This study aims to identify critical success factors influencing the effectiveness of e-learning systems in Indonesia. It examines the advantages of e-learning, such as flexibility and affordability, as well as challenges like the digital divide and varying digital skills. By reviewing literature from diverse sources, the research underscores e-learning's potential as a distance learning solution, emphasizing the need for educational institutions to address challenges to maximize its effectiveness in Indonesian educational settings. Methodology/approach This study employs a literature review method to identify critical success factors affecting the efficacy of e-learning systems in Indonesia. Data is gathered from scientific journals, books, and research reports to analyze the advantages (flexibility, affordability) and challenges (digital divide, varying digital skills) associated with e-learning. Findings The research results show that e-learning has several advantages as a distance learning solution, such as flexibility, accessibility, interactivity and affordability. However, e-learning also has several challenges, such as the digital divide, differences in digital skills, and learning motivation. Novelty/value This study contributes novel insights by specifically examining the factors influencing the effectiveness of e-learning systems within the Indonesian educational context. Unlike broader studies, it focuses on the unique challenges and opportunities present in Indonesia, including the impact of the digital divide, varying levels of digital skills among learners, and specific strategies for enhancing learner engagement and motivation. By conducting a comprehensive literature review drawing from scientific journals, books, and research reports, the study consolidates existing knowledge and identifies gaps that are crucial for informing policy and practice

Implementation of the Direct Cash Assistance Program for Village Funds

General Background: The COVID-19 pandemic has necessitated government interventions in Indonesia to support vulnerable populations. Specific Background: One such intervention is the Direct Cash Assistance Program from Village Funds (BLT-DD), aimed at alleviating economic burdens. Knowledge Gap: Despite its implementation, challenges in recipient targeting and data accuracy remain. Aims: This study analyzes the BLT-DD program's implementation in Sidodadi Village, focusing on success factors and barriers. Results: Qualitative methods reveal that while communication among stakeholders is strong, issues like multiple assistance to some beneficiaries lead to inequalities. Novelty: The study utilizes Van Meter and Van Horn’s implementation theory to provide insights into the program's challenges. Implications: Findings highlight the need for improved data management and stakeholder engagement to enhance equitable distribution of assistance and foster economic recovery in rural areas. Highlights: Targeting Issues: Some beneficiaries received multiple forms of assistance, leading to inequities. Communication Strength: Effective coordination among stakeholders facilitated the program's implementation. Data Management Needs: Improved data validity is crucial for enhancing program effectiveness and fairness. Keywords: BLT-DD, COVID-19, Village Funds, Economic Assistance, Implementation

Applying the Delphi Method to Assess Critical Success Factors of Digitalization While Sustaining Lean at a Lean Automaker

Applying the Delphi Method to Assess Critical Success Factors of Digitalization While Sustaining Lean at a Lean Automaker

Analyzing the quantitative impact of hybrid work model on critical success factors in scrum-based agile software

Analyzing the quantitative impact of hybrid work model on critical success factors in scrum-based agile software

Critical Success Factors for Adopting Corporate Social Responsibility in the Malaysian Hotel Industry

Corporate social responsibility (CSR) is becoming more highly regarded in the hotel sector as a strong weapon in promoting sustainable economic development and addressing ethical concerns. Nevertheless, there is a limited knowledge of the notion of CSR in the hotel business, as well as how to effectively implement it. This study seeks to understand the views and recommendations of experts regarding the key elements of that are essential for the effective implementation of CSR in the hotel industry. This study uses the NGT method as the main method of the study. A panel of ten highly skilled Malaysian industry practitioners and academics was convened. The data were descriptively collected and analyzed, and they were weighted according to ranking (1-3, lowest to highest priority) of domain. The rationale for the choices were analyzed thematically. The domain of "financial resources," "top management support," "employees’ education and training on CSR," and " managerial or internal skills on CSR” was recommended as the preferred measure of time period over which the domains were rated. The adoption of these recommendations will help standardize approaches to improving the CSR practices particularly in the Malaysian hotels.

TOOLS FOR MODELING AND DESIGN IN THE PROCESS OF TRAINING SPECIALISTS IN VOCATIONAL AND TECHNOLOGICAL EDUCATION INSTITUTIONS

The relevance of the research lies in the growing need of future teachers for effective and productive tools for teaching design, which can significantly reduce the time of learning new progressive software tools. With the development of technology and increasing competition in the market, speed and quality of design are becoming critical success factors. The purpose of the study is to study the effectiveness and productivity of using SolidWorks in the process of teaching design, as well as to determine its advantages over other CAD programs. The article analyzes the use of SolidWorks in the modern engineering and pedagogical process, highlights its advantages compared to other CAD programs, and emphasizes its importance for educators in the process of creating and learning new products and technologies. SolidWorks is positioned as an innovative design program that has numerous advantages due to the interface and a wide set of tools that allow you to significantly increase the efficiency and productivity of learning for the work of future educators. The program also provides the ability to perform various analyzes and simulations, which contributes to the improvement of product quality, allowing to identify potential problems in the early stages of design and reduce costs and risks in design. In general, the use of SolidWorks during the educational process provides ample opportunities for training future teachers. This software significantly increases the efficiency and quality of the educational process, making it an integral part of modern pedagogical education. Future innovations and developments in SolidWorks promise to further improve the competitiveness of design at various stages of the educational process.

Sustainable Supply Chain Management for Business Competitiveness: A Systematic Literature Review

The goal of this systematic literature review (SLR) is to present a thorough examination of the connection between corporate competitiveness and sustainable supply chain management (SSCM). Based on 74 publications from reliable sources, including Science Direct, JSTOR, IEEE Xplore, Google Scholar, Scopus, and Web of Science, this review combines data to highlight important concepts, conceptual frameworks, and research findings. According to the review, supply chain strategies that incorporate sustainability principles can improve social responsibility, environmental performance, and economic viability—all of which support long-term competitiveness. The analysis reveals that among the key success factors within SSC that are related to social and environmental impacts, operational resilience and continuity, financial performance, technological innovation, technological innovation, differentiation, regulatory compliance and industry standards, customer satisfaction and loyalty, and resource efficiency and cost savings. Transparency and traceability, market and reputation benefits, risk management techniques, and circular economy ideas are some of the best ways that SSC practices boost company competitiveness. However, some of the biggest obstacles to supply chain management (SSCM) that undermine firm competitiveness are high beginning costs, complexity, supply chain interruptions, and market constraints. The review expands on our knowledge of the ways in which SSCM boosts corporate competitiveness. Discussions are held regarding conclusions, suggestions for additional study, and theoretical and practical ramifications.

Testing the Construct Validity and Reliability of the Student Learning Interest Scale Using Confirmatory Factor Analysis (CFA)

Learning interest is one of the determining factors of student learning success. The low interest of students in learning process is caused by several problems that occur. Thus, learning interest is very important in learning progress, namely to bring out students' interest and activeness in learning. To support learning and increase students' interest in learning, teachers should not only master the material but also create interesting learning to help arouse curiosity, enjoyment and interest in learning in them. This study aims to test the validity and reliability of the construct of the developed learning interest scale. A researcher needs 250 to 500 respondents. This study involved 300 random samples of fifth grade elementary school students in Berbah District, Sleman, Yogyakarta, Indonesia. Data were analyzed with second-order confirmatory factors assisted by IBM SPSS version 26 software. This study measures the validity and reliability of elementary school students' interest in learning science. So the data analysis in this study measures validity and reliability. So this study uses second order confirmatory factor analysis (nd order CFA). The results showed that the developed learning interest scale had met the criteria of suitability, convergent validity, discriminant validity, construct reliability. Therefore, the developed scale is feasible to use.

Outcomes of vital pulp treatment in permanent teeth with carious pulp exposure with signs and symptoms of irreversible pulpitis.

To investigate the outcomes and factors influencing the success of vital pulp treatment (VPT) in permanent teeth with carious pulp exposure and signs and symptoms of irreversible pulpitis (IP). Dental records from 2016 to 2023 of patients who received VPT for carious pulp-exposed permanent teeth with IP symptoms were reviewed. Outcomes were assessed using clinical and radiographic criteria. Univariate and multivariate analyses were performed to identify factors affecting treatment success. The Kaplan-Meier estimator was used to compare survival probabilities. The overall success and survival rates were 88.24% and 97.06%, respectively. Success rates for direct pulp capping, partial pulpotomy, and full pulpotomy were 87.7%, 92.0%, and 87.7%, respectively. Key factors influencing outcomes included the presence of periapical radiographic lesions, type of pulp dressing material, and quality of the final restoration. Full pulpotomy demonstrated the highest survival time, followed by partial pulpotomy and direct pulp capping. VPT in permanent teeth with carious pulp exposure and IP symptoms shows high success rates. Crucial factors include periapical radiographic findings, type of pulp dressing material, and quality of the final restoration. Full pulpotomy exhibited the longest survival time. VPT in teeth with IP symptoms shows promising outcomes, highlighting the importance of certain clinical factors in treatment success.

Prioritizing Success Factors for Start-ups in Indonesia Using the Best Worst Method (BWM)

The rapid growth of Indonesia’s start-up ecosystem presents both opportunities and challenges for new ventures striving for sustainability and competitiveness. This study applies the Best Worst Method (BWM) to prioritize key success factors for start-ups in Indonesia, providing a structured framework for decision-making. Six critical factors were evaluated: access to funding, innovation capability, market competition, regulatory environment, talent acquisition, and scalability potential. Through pairwise comparisons, this research identifies access to funding as the most critical factor, while scalability potential is considered the least influential in determining start-up success. The findings offer valuable insights for entrepreneurs, investors, and policy-makers, highlighting areas where targeted support can enhance the growth and sustainability of start-ups. This study contributes to the ongoing discourse on start-up development in emerging economies by providing a decision-making tool to guide strategic priorities within Indonesia’s dynamic entrepreneurial landscape.

An integrated machine learning approach for evaluating critical success factors influencing project portfolio management adoption in the construction industry

PurposeIn today’s intricate and dynamic construction sector, traditional project management techniques, which view projects in isolation, are no longer sufficient. Project Portfolio Management (PPM) has proven to be an efficient alternative solution for handling multiple construction projects. As such, based on a Machine Learning (ML) approach, this study aims to explore the Critical Success Factors (CSFs) influencing the adoption of PPM, aiming to enhance PPM implementation in construction projects.Design/methodology/approachA questionnaire based on CSFs gathered from prior studies was developed and validated by experts. Afterward, exploratory data analysis is conducted to understand CSF–PPM relationships. Preprocessing techniques ensure uniformity in variable magnitudes. Lastly, ML techniques, namely Linear Discriminant Analysis (LDA), Logistic Regression (LR) and Extra Trees Classifier (ETC) are developed to model and investigate CSFs' impact on PPM adoption.FindingsThe findings pointed out that the ETC model marginally outperforms other ML models with a classification accuracy of 93%. Also, the project size, utilized PPM tool and resource allocation-related factors are the most significant CSFs that influenced the PPM performance by about 48.5%.Originality/valueThis study contributes to the existing body of knowledge by raising awareness among construction companies and other project stakeholders about the pivotal CSFs that must be considered when prioritizing projects and designing an optimal PPM approach.

How signal portfolios affect success in equity-based crowdfunding: Evidence from the Chinese hotel industry

While most crowdfunding studies predominantly explore the success factors of reward-based crowdfunding, this research studies the efficacy of composite signal portfolios. Specifically, we investigate how bundles of substantive signals—comprising product- and firm-relevant information—and rhetorical signals—grounded in language-based information—affect the performance of equity-based hotel crowdfunding. By analyzing objective data from 512 equity crowdfunding projects within the Chinese hotel industry, our findings indicate that the combination of product- and firm-related substantive signals, such as price and team size, enhances both the amount and percentage of equity-based crowdfunding. Furthermore, our results unveil that the combination of product-related substantive (price) and rhetorical (emotional appeal) signals significantly contributes to equity-based crowdfunding success. These findings not only contribute to the existing literature on hotel crowdfunding but also offer strategic implications for equity-based crowdfunding managers in the hotel industry.

Exploring Department of the Navy SBIR Phase III awards and corresponding public sector commercialization success factors

Exploring Department of the Navy SBIR Phase III awards and corresponding public sector commercialization success factors

Excellence in the management of local action groups: an empirical investigation of critical success factors

PurposeThis study aims to evaluate the extent to which the criteria of the EFQM Excellence Model and the relationships between them are relevant in the management of rural territory development. Verifying this relevance is crucial as a first step to determine how the adoption of an excellence model could enhance the results of the local action groups (LAGs) in managing their territories. If successful, the benefits for the management of territorial rural development in Spain could be highly significant.Design/methodology/approachField data were collected through a questionnaire distributed to the managers of 253 LAGs in Spain during the first quarter of 2021. Hypotheses were formulated to evaluate the significance of the EFQM model in the outcomes achieved by LAGs. The data were analysed using partial least squares-structural equation modelling (PLS-SEM) and necessary conditions analysis (NCA).FindingsThis study validates all the formulated assumptions regarding the EFQM model, including the mediating role of process management in the impact of strategy and the technical team (people) on outcomes. Based on the obtained results, it can be concluded that the adoption of a model of excellence could increase the effectiveness of LAGs in managing the development of their territories.Research limitations/implicationsLike all research, this study has its limitations. For example, the data used responds to an indirect approach to the criteria of the EFQM model. Direct measurement of the criteria was not possible because there were no LAG evaluations with the EFQM model or any other model of excellence. Additionally, the LAG sample used does not equally reflect the reality of the different autonomous communities, which, together with the relatively small nature of the sample, does not allow comparisons of the autonomous communities. The age of the participants was not included in the analysis, so it was not possible to evaluate the effect that this variable could have on the results. There are LAGs in other EU countries as well. It would be interesting to see whether the results obtained in this study with Spanish LAGs are consistent with those in other countries. The study was conducted at the criterion level. It would be of interest to delve deeper into the subcriterion level in future work. Finally, this study was based on the EFQM 2013, while the most recent study was from 2020, which is a limitation. When the study was designed, there was not yet sufficient experience with the 2020 model. It will be interesting to see in future work the extent to which the results and conclusions obtained remain consistent with those of the 2020 model.Practical implicationsApproaches to tackling the problem of rural development have often relied on intuitive and practical trial-and-error methods in the implementation of public policies rather than on a solid and validated theoretical foundation. Therefore, verifying the relevance of the criteria and their interrelationships, intrinsic to models such as the EFQM 2013 model, in the context of managing rural territories, can greatly aid the management of these types of organisations.Social implicationsThe development of rural territories is a critical issue that remains unresolved in many countries. Failure to address this, or not doing so in a timely manner, has consequences for equity and migration to large urban centres. Enhancing the effectiveness of the LAGs can improve the living conditions of people in rural areas and contribute to the overall development of rural territories in Spain. This can simultaneously help mitigate the depopulation of rural areas.Originality/valueTraditional approaches to rural development have often relied on practical trial-and-error methods in implementing public policies. The decision to adopt an excellence management model for the development of rural territories hinges on the validity of criteria and their interrelationships, such as those intrinsic to the EFQM 2013 model, within the context of rural development.HighlightsThe EFQM model of excellence is applicable in managing the development of rural territories, although some relationships between criteria, such as the case of Partnership and Resources on Results, are affected by the context in which local action groups currently operate in Spain.This study applies PLS-SEM in the analysis of the relationships between criteria of the EFQM model in the context of managing the development of rural territories.

Identifying Critical Success Factors For Social Media Marketing Adoption in Micro and Small Culinary Businesses

Identifying Critical Success Factors For Social Media Marketing Adoption in Micro and Small Culinary Businesses

Examining the impact of green entrepreneurship drivers on sustainable development in the context of emerging country

PurposeGreen entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.Design/methodology/approachThe study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.FindingsResults indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.Research limitations/implicationsThe study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.Originality/valueThis study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.

Tips and Tricks for Image-Guided Breast Biopsies: Technical Factors for Success.

Image-guided biopsy is an integral step in the diagnosis and management of suspicious image-detected breast or axillary lesions, allowing for accurate diagnosis and, if indicated, treatment planning. Tissue sampling can be performed under guidance of a full spectrum of breast imaging modalities, including stereotactic, tomosynthesis, sonographic, and MRI, each with its own set of advantages and limitations. Procedural planning, which includes consideration of technical, patient, and lesion factors, is vital for diagnostic accuracy and limitation of complications. The purpose of this paper is to review and provide guidance for breast imaging radiologists in selecting the best procedural approach for the individual patient to ensure accurate diagnosis and optimal patient outcomes. Common patient and lesion factors that may affect successful sampling and contribute to postbiopsy complications are reviewed and include obesity, limited patient mobility, patient motion, patients prone to vasovagal reactions, history of anticoagulation, and lesion location, such as proximity to vital structures or breast implant.