Analysis Of Success Factors Research Articles

RELIGIOUSITY, LOCATION, AND ISLAMIC WORK PERFORMANCE: THE CONNECTION BETWEEN INDONESIAN AND MALAYSIAN EMPLOYEES

Introduction: In today's dynamic era, tight competition urges a comprehensive analysis of company success factors with an emphasis on high-quality human resources, employee performance, religiosity, and workplace location's impact on performance. Methods: This explanatory research uses a quantitative approach, surveying 259 urban Muslim employees in Indonesia and Malaysia online from May to August 2023 via random sampling and SEM analysis. Results: Using WarpPLS, this study found that work location significantly affects both religiosity and Islamic work performance, confirming H1 with a coefficient of 0.502 (p-value <0.001) and H2 with a coefficient of 0.573 (p-value <0.001). However, H3 is rejected, as religiosity does not significantly affect Islamic work performance (coefficient 0.082, p-value 0.245). Conclusion and suggestion: Work location significantly affects employee religiosity and Islamic work performance, with urban and closer locations enhancing these aspects. However, religiosity does not directly impact performance, indicating a complex relationship. Managers should consider location in recruitment, support religious practices, and investigate these dynamics while integrating religious values in training programs.

Exploring peer-to-peer lending: key influences of firm uncertainty, loan features and venture quality

PurposeThe purpose of this study is to identify the determinants of success in peer-to-peer (P2P) lending campaigns, especially amid global financial disruptions like the COVID-19 pandemic. Addressing a notable gap in current research, we explore how factors such as firm uncertainty, loan characteristics (interest rates and maturity) and venture quality (human, social and intellectual capital) influence P2P lending effectiveness. Using multiple regression analysis on data from 523 projects on the October platform, our study aims to enhance the understanding and operational efficiency of P2P platforms, contributing to a more resilient financial ecosystem.Design/methodology/approachThis study employs a quantitative research design using multiple regression analysis to examine the impact of specific variables on the success of P2P lending campaigns. Data were collected from 523 concluded P2P lending projects on the October platform, spanning from 2015 to 2021. Variables of interest include the level of uncertainty of the firm, loan characteristics such as interest rate and maturity and the quality of the venture assessed through human, social and intellectual capital. This method allows for a robust analysis of the factors contributing to the success of P2P lending within a dynamic financial context.FindingsThe findings of this study reveal that the success of P2P lending campaigns is significantly influenced by the level of uncertainty of the firm, the interest rate of the loan and the quality of the venture. Specifically, higher uncertainty in firms correlates negatively with campaign success, while competitive interest rates positively impact funding outcomes. Furthermore, ventures that demonstrate robust human capital, particularly those with management teams that possess diverse skills and high qualifications, tend to attract more funding. These results underscore the critical role of strategic financial and human resource planning in enhancing the effectiveness of P2P lending platforms.Originality/valueThis study contributes uniquely to the literature by integrating multiple variables – firm uncertainty, loan characteristics and venture quality – into a comprehensive analysis of success factors in P2P lending. It addresses the scarcity of research examining the combined effects of these factors, particularly in the context of global financial disruptions like the COVID-19 pandemic. By focusing on a specific European platform during a dynamic period, this research provides new insights into how P2P lending can adapt to and thrive amid financial crises. The findings offer valuable guidance for both practitioners and policymakers aiming to optimize P2P lending practices in uncertain economic landscapes.

Empirical Analysis of Critical Success Factors for Mechatronics Implementation in Architecture, Engineering, Construction and Operations Projects in Nigeria

The Fourth Industrial Revolution (4IR) has ushered in a new era of technological advancements that are transforming industries worldwide. One such technology that is revolutionizing the construction industry is mechatronics, which has the propensity to enhance the operations, activities, productivity and efficiency of the sector’s activities. Despite the numerous advantages of mechatronic technologies, their successful implementation in the context of developing countries poses unique challenges and considerations. Therefore, this study seeks to identify and evaluate the critical success factors (CSFs) for mechatronics implementation in architecture, engineering, construction and operations (AECO) projects. Existing CSFs were extracted from extant studies, which helped formulate the questionnaire disseminated to 372 construction professionals in Nigeria, including architects, builders, quantity surveyors, and engineers (mechanical, civil, electrical). The methodology also employed exploratory factor analysis (EFA), which facilitated the identification of key themes within the data. Through this application, six clusters of CSFs were revealed: organizational factors, financial considerations, technological aspects, collaboration and knowledge sharing, regulatory and policy factors, and sustainability and environmental considerations. From a theoretical perspective, the identified clusters of critical success factors provide a comprehensive framework that encompasses various dimensions of successful mechatronics adoption in the Nigerian construction industry. This study advances scientific knowledge on CSFs for the adoption of mechatronic technologies in the Nigerian construction industry, providing a comprehensive understanding of the factors that drive successful implementation. For policymakers, this study’s findings will be invaluable in shaping supportive policies and strategies that foster the widespread adoption of mechatronics in the construction sector.

Analysis of Success Factors in Efficient Agro-healing Farm Management: Focused on Gyeongsangnam-do

Analysis of Success Factors in Efficient Agro-healing Farm Management: Focused on Gyeongsangnam-do

Evaluation of the Critical Success Factors for Household Product Sustainability

Introduction: Sustainability and sustainable development have received growing at-tention in both industry and academia due to concerns regarding the rapid decrease in natural resources and increase in carbon emissions. Methods: In this study, we focus on the determination, evaluation, and analysis of the critical success factors in product sustainability by specifically focusing on the household goods indus-try. In the first phase of the study, we determine the critical success factors by referring to the existing literature and opinions of the experts who have experience in the household goods in-dustry. Next, we use a trapezoidal type-2 fuzzy AHP algorithm to rank the determined criteria and discuss the main findings from a practical point of view. Results: Computational results bring several important managerial insights. First, we observe that all three aspects of sustainability (economic, environmental, and social) should be consid-ered to ensure product sustainability. Second, the analysis reveals that cost (economic), quality (economic), generated waste and emission during the life cycle (environmental), energy and water consumption during the life cycle (environmental), and occupational health and safety (social) are among the highly ranked criteria. Conclusion: In this regard, in order to increase product sustainability, the companies should de-termine ways to decrease water usage, energy usage, carbon emission, and waste without ne-glecting the cost and quality of the product and without ignoring occupational health and safety.

Analysis of Success Factors of Carrot Market :Focusing on the ERIS model

Analysis of Success Factors of Carrot Market :Focusing on the ERIS model

Analysis of Success Factors of International Art Fairs and Study on the Development Plans for Korean Art Fairs

Analysis of Success Factors of International Art Fairs and Study on the Development Plans for Korean Art Fairs

Analysis of Critical Success Factors for the Implementation of Drones in the Logistics Sector: Systematic Review

Analysis of Critical Success Factors for the Implementation of Drones in the Logistics Sector: Systematic Review

Analysis of critical success factors for blockchain technology implementation in supply chain: a Delphi study

Analysis of critical success factors for blockchain technology implementation in supply chain: a Delphi study

Internet of Thing (IOT) Based Sensor Technologies and Smart Irrigation System: An Analysis of Critical Success Factors in Emerging Markets

ABSTRACT: This study explores how smart irrigation systems can be improved by introducing advanced technologies and reducing water consumption to fight climate change. This study aims to identify the factors affecting the success of smart irrigation systems based on the Internet of Things with the mediation of optimal consumption management. This is an applied research employing mixed methodologies (qualitative-quantitative). Initially, the semi-structured interviews were carried out to obtain the effective success factors of the smart irrigation system. Analysis in the qualitative section has been conducted using the Maxqda software. For the quantitative study, a 25-statement questionnaire was applied according to the selected codes obtained with a five-point Likert scale to validate the obtained model. The questionnaire was distributed online in January 2023, and analysis was conducted using SmartPLS3 software. The technical aspects of the questionnaire were assessed using validity and reliability criteria, which can guarantee the precision of the research findings. Construct and content validity were employed in this study to examine the questionnaire’s validity. The researchers employed Cronbach’s alpha coefficient to evaluate the reliability of the measurement instrument. Besides, it can be said that the research instrument has acceptable reliability because obtained Cronbach’s alpha for all variables was greater than 0.70 and the questionnaire’s overall alpha was determined to be 0.810. Furthermore, the t-statistics for all research hypotheses is higher than 1.96 at the 95% confidence level. In this sense, the hypotheses of the research were confirmed. The Internet of Things and will change the nature of activities and services in the market. In fact, for emerging markets, the untapped and growing investment opportunities and the economic leap against the Internet of Things are so enticing and facilitating that it is impossible to resist. and neglecting it will cause irreparable damage to agility. Therefore, the success of the Internet of Things for emerging markets depends on the preconditions of integration of activities carried out by decision-making organizations, facilitation of regulations, and communication and interaction between relevant sectors, which should be considered a priority through cross-sectoral research.

Inside the successful make-up of ‘AI-first’ organisations

The corporate adoption of artificial intelligence (AI) technologies has been rapid in recent years, but the stumbling block is how those investments translate into attractive returns. This paper provides a systematic analysis of key success factors tied to the total productivity gains generated by global companies out of their AI factory programmes. Successful AI transformation necessitates a multifaceted approach, encompassing strategic pivot, robust data and AI governance, augmented human capital programme and a commitment to innovation.

Facilitating professional development in teacher learning groups: development and validation of the ‘value creation questionnaire’

ABSTRACT Increasingly, teacher learning groups (TLGs) are considered valuable for teachers’ professional development. In TLGs, (student) teachers and teacher educators learn collectively through social interactions regarding jointly experienced practice issues. However, collective learning in TLGs may not emerge spontaneously and requires facilitation to achieve desired collective learning outcomes. An important way to facilitate collective learning is creating awareness of the value this may bring. Therefore, the ‘Value Creation Questionnaire’ (VC-Q) is developed in the present study. It can map the value creation and initiate group discussions of TLGs. This article describes the validation of the questionnaire (n = 290) using successive confirmatory factor analyses, resulting in an instrument with good psychometric properties. The final version of the questionnaire contains 19 items, measuring five factors that match the original values of the Value Creation Framework: Immediate Value, Potential Value, Applied Value, Realised Value, and Reframed Value. The VC-Q is suitable for quantitative research to gain more insight into the conditional and outcome variables of social learning. Future research can broaden the individual perspective of the VC-Q and incorporate theoretical dimensions regarding the collective side of value creation.

SUCCES FACTORS AND OBSTACLES IN IMPLEMENTING INTERCOMMUNITY DEVELOPMENT PROJECT

The present paper aims to determine the success factors and obstacles in implementing intercommunity development projects through associations of public authorities. Intercommunity cooperation institutionalizes the cooperation between two or more local public authorities, allowing them to jointly administer certain important services, and in recent years this type of cooperation has been on an upward trend in Europe as well as in Romania. The study is empirical and the research is quantitative, the results reflecting the responses to a questionnaire applied to public authorities members of an intercommunity development association. The first part of the study focuses on literature review, most relevant researches in the field being presented as well as the differences between the existing studies and the present one. The study continues with the analysis of the main success factors and barriers in implementing intercommunity development projects based on the results obtained from the questionnaire applied. The results of the questionnaire were interpreted using the Excel analysis tool. In the end, the main conclusions are drawn, as well as possible future research directions that can complement the present study. The results of the research are useful for improving intercommunity development projects on all levels: preparation, management, communication, implementation, results and final beneficiaries, and to overcome obstacles that have been identified.

Analysis of Success Factors and Business Sustainability by Muslim Women Entrepreneurs Based on Islamic Studies

Businesses managed by Muslim women entrepreneurs have become an interesting phenomenon in the global economic landscape. This research aims to understand in depth the factors that contribute to the success and sustainability of businesses managed by Muslim women entrepreneurs, using an Islamic perspective as the basis for analysis. This research uses a qualitative approach with a multiple case study design. Data was collected through in-depth interviews with 15 Muslim women entrepreneurs who have businesses that have been running for at least 5 years and are considered successful in their respective industries. Data analysis was carried out using thematic methods, identifying key themes that emerged from the interview data. The research results reveal that the business success factors of Muslim women entrepreneurs include: (1) Integrity and Islamic Business Ethics: Successful Muslim women entrepreneurs demonstrate a strong commitment to the values of honesty, justice and transparency in running their business. (2) Business Knowledge and Competence: The ability to manage finances, marketing and business operations is an important factor in achieving success. (3) Networking and Collaboration: Building strong relationships with customers, suppliers and other business partners contributes to business growth and sustainability. (4) Innovation and Adaptation: The ability to innovate and adapt to market changes is key in facing competition. (5) Devotion and Spirituality: Devotion and the practice of Islamic spirituality provide motivation and strength in facing business challenges. This research provides valuable insight into the factors that contribute to the success and sustainability of businesses managed by Muslim women entrepreneurs. These findings have important implications for Muslim entrepreneurs, policy makers and academics in developing strategies and programs that support business growth and sustainability based on Islamic values.

DeLone and McLean Model Analysis of Success Factors of SIDEMANG Application in Palembang City

Indonesia is ranked 77th in the world in electronic-based government systems, especially the City of Plembang is ranked 89th regarding the evaluation of smart city improvement in Indonesia. One of the latest applications used in the past year is the SIDEMANG application, which is an information system that has the use and purpose of facilitating access to administrative services related to personal and agency licensing files online at the village and sub-district levels in Palembang city, but this is also not free from obstacles, especially internet signals. Therefore, an analysis is needed related to the implementation of Information Systems, to assess the success of applications that have been implemented, especially government digital services. DeLone and McLean Information System Success Model is used, to see the significant factors that cause the success of Information System implementation. The data analysis method used in this research is quantitative because the data collected is in the form of numbers and will be analyzed using the SmartPLS application statistical technique, using a sample size of 97 respondents. The results showed that the information quality factor was not significant to the intention or use of the application, the system quality factor was not significant to the intention or use of the application, the system quality factor was not significant to user satisfaction, the service quality factor was not significant to user satisfaction. Recommendations for the Palembang City Communication and Information Office are related to the evaluation and improvement of the SIDEMANG application using the DeLone and McLean Model analysis. In particular, improvements to the quality of information that can influence citizens to use the application, improvements to the quality of the system that can invite and satisfy users in using the application, and improvements to service quality factors on citizen satisfaction.

Comparative Analysis of Key Success Factors in S&OP: Focusing on Manufacturing and Retail Industry in South Korea

The global supply chain is facing unprecedented challenges due to pandemics, geopolitical tensions, volatile commodity prices, and rapid changes in consumer demand. The Sales and Operations Planning (S&OP) process can be an important solution by integrating supply and demand with business strategy and operational planning. However, previous studies have developed single frameworks or maturity models without considering industry-specific factors, overlooking the structural and operational characteristics of different industries that can have a significant impact on the approach and success factors of S&OP. Therefore, this study identifies and compares the key success factors of S&OP in the manufacturing and retail industries using the Analytic Hierarchy Process (AHP) technique. The results show clear differences in the prioritization of success factors between two industries. In the manufacturing industry, strategic support and leadership were evaluated as the most critical factor, while in the retail industry, operational processes were emphasized. In addition, the relative importance was concentrated on the top-ranked factor in the manufacturing industry, but the relative importance was distributed among several factors in the retail industry. This study provides valuable insights into the critical success factors for S&OP implementation in different industries and offers an understanding of how industry-specific characteristics influence the effectiveness of S&OP strategies.

Uncertain Causality Analysis of Critical Success Factors of Special Education Mathematics Teaching

Abstract This study determines the critical success factors of teaching mathematics to special education (SPED) students wherein a list of success factors is identified through a literature survey and analyzes the causal relationships among the identified factors to evaluate the key success factors using the integration of the grey system theory and decision-making trial and evaluation laboratory (DEMATEL), named as the grey-DEMATEL. Results reveal that professional development (PD), institutional support (IS), and individual factors (IF) are categorized as net causes. They influence other factors considered as net effects, including mentoring, self-efficacy, teaching capacity, student feedback, teaching knowledge, instructional accommodation, and use of technology. Among those net causes, only PD yields as the key factor, while IS and IF are the minor key factors. Thus, decision-makers must allocate resources that provide PD to teachers in delivering SPED mathematics teaching. A sensitivity analysis suggests these findings are robust to linguistic evaluation scale changes. The insights outlined in this study would aid educational managers and decision-makers of educational institutions in carefully designing initiatives to improve the quality of mathematics education provided to SPED students. Some potential directions for future research agenda are also discussed.

Towards Quality Assurance in MOOCs: A Comprehensive Review and Micro-Level Framework

MOOCs (massive open online courses), because of their scale and accessibility, have become a major area of interest in contemporary education. However, despite their growing popularity, the question of their quality remains a central concern, partly due to the lack of consensus on the criteria establishing such quality. This study set out to fill this gap by carrying out a systematic review of the existing literature on MOOC quality and proposing a specific quality assurance framework at a micro level. The methodology employed in this research consisted of a careful analysis of MOOC success factor’s using Biggs’ classification scheme, conducted over a four-year period from 2018 to 2022. The results highlighted the compelling need to consider various indicators across presage, process, and product variables when designing and evaluating MOOCs. This implied paying particular attention to pedagogical quality, both from the learner’s and the teacher’s point of view. The quality framework thus developed is of significant importance. It offers valuable guidance to MOOC designers, learners, and researchers, providing them with an in-depth understanding of the key elements contributing to MOOC quality and facilitating their continuous improvement. In addition, this study highlighted the need to address aspects for future research, including large-scale automated evaluation of MOOCs. By focusing on pedagogical quality, MOOCs can play a vital role in providing meaningful learning experiences, maximizing learner satisfaction, and ensuring their success as innovative educational systems adapted to the changing needs of contemporary education.

Analysis of Critical Success Factors of Logistics 4.0 using D-number based Pythagorean Fuzzy DEMATEL method

Logistics 4.0 is a concept related to Industry 4.0, encompassing skills and notions of supply chain organization, integrating logistics with advanced technology in order to satisfy consumer demand for customized goods and services. Industry 4.0 is transforming businesses and supply chains through advanced technologies like analytics, big data, Internet of things, and cyber-physical systems, enhancing warehousing, manufacturing, and logistics. Logistics 4.0 can be regulated by properly analyzing specific Critical Success Factors using a Multi-Criteria Decision Making model in uncertain or ambiguous circumstances. Hence, it is necessary to explore the CSFs while bringing logistics 4.0 into action. These CSFs are interlinked, and this interlinkage is examined through the D-number-based Pythagorean fuzzy Decision Making Trial and Evaluation Laboratory method, which is suitable for group decision-making in incomplete and uncertain data. The proposed research paradigm incorporates the abilities of Trapezoidal Pythagorean Fuzzy Numbers for dealing with fuzziness and D-Numbers for getting an improved and further precise decision from a heterogeneous group of decision-makers using their linguistic choices. Additionally, it is adaptive and versatile in managing the intrinsic uncertainty brought on by ambiguous and subjective information.

Analysis of Success Factors of Gojek Startup Services Compared to Other Competitor Startup Services

Analysis of Success Factors of Gojek Startup Services Compared to Other Competitor Startup Services