Exploratory Factor Analysis Method Research Articles

A Validity and Reliability Study of The Turkish Version of The Mothers’ Autonomy in Decision Making Scale

Objective: The focus of the study is women's experiences of autonomy while making decisions about their care during pregnancy, labour and birth. The aim of this study is to adapt the Mothers Autonomy in Decision Making Scale (MADM), developed by Vedam et al. in 2017, into Turkish health care culture. Methods: The survey, which was created in the Google form, was conducted between May 15th to August 15th 2019 through social media. 344 women participated in the study and 286 women answered the questionnaire in total. The data were evaluated using the SPSS package software. Findings related to construct validity of the scale were made using exploratory factor analysis method. Results: Reliability of the Turkish form of the scale was performed with Cronbach’s Alfa and the internal consistency value of the scale was found to be 0.91. MADM scores were found to be highest for midwives (33.28±10.10) and lowest for family physicians (23.89±11.44). More than half of the midwives who have been cared for have a high autonomy score on the scale of MADM (%54.4). Conclusion: MADM scale was found to be valid and reliable in Turkey to assess decision-making experiences during maternity care.

Factors determining bank selection by micro- and small-sized enterprises: evidence from Ethiopia

PurposeThis study aimed to explore the importance of various factors considered in the bank selection decisions of micro- and small-sized enterprises (MSEs) in Ethiopia.Design/methodology/approachThe study used a structured questionnaire to collect data from 300 MSEs selected through a convenience sampling technique. Descriptive statistics, exploratory factor analysis and linear regression analysis methods are used to identify the most important factors determining bank selection by MSEs.FindingsThe results of exploratory factor analysis revealed that the availability of credit at a reasonable interest rate, lower service charges and the availability of better automated teller machine (ATM) services are the priorities of MSEs in their bank selection decisions. In addition, the results of regression analysis indicated that price competitiveness is the most important factor determining bank selection decisions of MSEs.Research limitations/implicationsThis study has two major limitations: first, due to resource constraints, the samples included in this study were taken only from the capital city of the country, Addis Ababa. As customer preferences are likely to vary from region to region, future studies could be carried out by including samples from other cities and rural areas of the country. Second, the study relied on a single data collection instrument. The use of additional data collection instruments, such as interviews and focus group discussions, could provide additional insights into the topic.Practical implicationsCommercial banks need to devise a flexible lending policy and set affordable interest rates and collateral requirements to meet the credit needs of MSEs. MSEs, on the other hand, need to improve their bankability by improving their operating and financial reporting practices. Further research can be conducted by covering other cities and the rural parts of the country.Originality/valueThe topic of bank selection has not been explored with a specific reference to MSEs in Ethiopia. The present study addressed this gap by investigating the factors influencing bank selection decisions of MSEs.

Factors Influencing the Teaching of Critical Thinking to Primary School Students by Primary School Teachers in the Mountainous Region of Northern Vietnam

This article examines the factors influencing the teaching of critical thinking development for students by primary school teachers in northern mountainous areas of Vietnam. The 21 survey questions were designed via google form and sent to 128 primary school teachers in the mountainous northern region of Viet Nam. The exploratory factor analysis (EFA) method was used to analyze the study results. Research results show that there are six factors that influence primary school teachers' teaching to develop critical thinking for students: 1) Teaching skills develop critical thinking; 2) Teacher attitude; 3) The teacher's understanding of critical thinking; 4) The interest of the student's parents; 5) Influence from colleagues and managers; 6) Critical thinking assessment activities. The total variance extracted by these 6 factors explains 68.477% of the 21 observed variables. The results of this research can help primary school teachers in the mountainous north of Vietnam better understand what is needed to develop students' critical thinking and apply appropriate teaching methods to help students develop these skills.

Development of the information quality scale for health information supply chain type 2 diabetes mellitus management using exploratory factor analysis.

Research on the quality scale of the healthcare supply chain is still limited. This study aimed to assess the information quality of the supply chain model with a focus on construct validity. Studies related to information quality measurement generally focus on measuring the dimensions of the completeness of medical records and consumer perspectives. We intended to assess the scale based on doctors needed as care coordinators on type 2 diabetes mellitus or the Non-Insulin-Dependent-Diabetes-Mellitus (NIDDM) program in primary healthcare. Sixty-four primary healthcare doctors with an age range of 24-51 years were involved in this research. The scale obtained was formed from the assessment of the point of view of a panel of experts through the content validity index (CVI). The exploratory factor analysis (EFA) method was used to explore the scale of information quality in the information supply chain model for the NIDDM chronic disease management program. The data analysis results indicated three main factors that affected the quality of the information supply chain model of NIDDM, namely accessibility, safety, and efficiency of information related to NIDDM. The results of the validity and reliability of the data showed that the scale used in this research was valid and reliable with a Cronbach alpha coefficient of 0.861. The scale developed in this research could be used to explore the quality of the information supply chain of NIDDM management in primary healthcare. Each item on the scale could explain the variables according to their respective groups.

Factors affecting investor satisfaction in the southeast economic zone of Nghe An province

This study looks at the factors affecting investor satisfaction in the economic zone of Nghe An province, Vietnam, by building a regression model to measure the impact of the factors and propose solutions to increase investment attractiveness. The exploratory factor analysis (EFA) method is used for empirical research. The results showed that there are six factors affecting investor satisfaction. In order of influence, these are incentives, habitat, local organizations, geographical location, infrastructure, and human resources. From this result, we propose creating favorable policies to support disadvantaged businesses, creating favorable conditions for businesses to borrow capital, improving social infrastructure to attract workers, strengthening business support, focusing on the seaport system, and taking advantage of all available resources.

Affecting Factors in the Curriculum Development Capacity of Primary School Teachers in the Northern Mountainous Area of Vietnam

Since the implementation of the General Education Program Year 2018, schools and teachers have the autonomy in choosing teaching content, and teaching methodologies suitable to the practical conditions of local and schools. To meet the renovation requirements of world education and Vietnamese educational, teachers need to have the capacity to develop curriculum. Curriculum development is a process that is carried out continuously with the aim of reviewing, updating, supplementing and developing to meet the needs of society, scientific achievements and technology as well as labor market requirements. The purpose of this study is to discover the factors affecting the curriculum development capacity of primary school teachers in the Northern mountainous area of Vietnam. The exploratory factor analysis (EFA) method was used on the basis of the survey results from 261 primary school teachers. Since then, four factors affecting the program development capacity of primary school teachers have been identified: physical facilities (45.710%); the direction and supervision of managers (9,940%); the ability to understand the general education program year 2018 (7.046%) and the capacity to design lessons (4.875%). This is the premise that suggests some recommendations to improve the program development capacity for teachers in the Northern mountainous areas of Vietnam.

Development of the home environment risk rating scale and investigation of the psychometric properties in the elderly and adult individuals.

To reduce home accidents, which is one of the critical public health problems, it is necessary to evaluate the home environment first. The aim of this study was to develop the Home Environment Risk Rating Scale (HERRS) and examine its psychometric properties in elderly and adult individuals. This study was conducted on 220 elderly and adult individuals (63.68±10.31 years old, 68.2% female, 31.8% male) living in their homes. The participants completed the Sociodemographic Information Form, Home Environment Conditions Evaluation Form for Falls, and Home and Environment Risk Rating Scale. In addition, psychometric measurement results for horizontal and vertical measurements were analyzed by exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) methods. It was found that the Kaiser-Mayer-Olkin (KMO) value for horizontal and vertical measurements were 0.613 and 0.704, respectively. Results of EFA for horizontal and vertical measurements revealed that five factors together explain 72.033% and three factors together explain 68.368% of the total variance, respectively. The result of CFA for horizontal and vertical measurements demonstrate that the 5-sub-dimension horizontal scale structure and the 3-sub-dimension vertical measurement structure generally fit acceptable in this scale. Cronbach's alpha was satisfactory in all of the measurements (0.73 and 0.80 respectively); the ICCs were good/excellent in all of the measurements (0.99 and 0.90, respectively). The results show that HERRS has the potential to examine the risks of the home environment adequately for the home structure of Turkish society in detail and is a valid and reliable test that health professionals can use. The online version contains supplementary material available at 10.1007/s10389-023-01885-6.

Chinese students’ motivation to adopt distance learning of the Russian language

Introduction. Currently, restrictions related to the coronavirus pandemic have not yet been fully lifted in the People's Republic of China and students studying in Russia periodically switch to distance learning. The purpose of the article is to study the specifics of students' motivation to use distance technologies for teaching the Russian language using internationally recognized methods of measurement and statistical data analysis. Materials and Methods. The Instructional Materials Motivation Survey (IMMS) measuring materials for studying the specifics of the educational motivation of students of the Ural Federal University (hereinafter referred to as UrFU) from the PRC for the use of distance technologies for teaching the Russian language were created for the AttentionRelevance-Confidence-Satisfaction (ARCS) structural model. We studied the relationship between the personal data of students (gender, age, year of study, educational program, additional language training and the results of measuring educational motivation (IMMS) for the use of distance technologies for teaching the Russian language and its structural components: attention (ATT), relevance (REL), Confidence (CON), Satisfaction (SAT).The study involved 673 UrFU students from the PRC, who had experience of long-term distance learning under restrictions due to the coronavirus pandemic. Statistical processing of the measurement results was carried out using the structural equation modeling method Structural Equation Modeling (SEM). A confirmatory and exploratory factorial analysis of the obtained results was carried out using the SPSS software tool, including the AMOS module. Results. The developed IMMS questionnaire was validated by confirmatory factor analysis of IMMS measurement results using the AMOS module of the SPSS software tool. The method of exploratory factor analysis revealed statistically significant relationships between the indicators of students' educational motivation for using distance technologies for teaching the Russian language (IMMS) and its structural components with the personal data of the respondents. The gender of the student and the presence of parallel additional language training were found to have the strongest influence on learning motivation (girls are more motivated than boys). The gender of the student and the presence of parallel additional language training (regression coefficient r = 0.61) have the strongest influence on the structural component of learning motivation relevance (REL). Conclusion. The results of the study showed a high level of motivation for distance learning of the Russian language among UrFU students from China which is due to the effective design of educational materials. It is shown that when developing motivating teaching materials for distance learning, it is necessary to take into account the gender composition of trainees and the availability of parallel additional training in the subject.

A Medication Assessment Tool to Evaluate Prescribers’ Adherence to Practice Guidelines in Bipolar Disorder: Development and Psychometric Properties

Background: In the last decades, bipolar disorder treatments have undergone a gradual shift away from relying on clinical expertise to adopting evidence-based practice guidelines and expert consensus, leading to an improvement in medical care safety, patient performance, and quality of life. Nonetheless, suboptimal prescribing has remained an issue, and there is an excellent opportunity for improving the care standards to reduce symptoms’ recurrence, frequent hospitalizations, and costs. Objectives: This study aimed to develop and validate a medication assessment tool for evaluating prescribers’ adherence to pharmacotherapy recommendations outlined in practice guidelines during the acute phase of bipolar disorder in Iran (MATAPBD). Methods: This mixed-method study was conducted from August 2021 to May 2022. A 54-item pool was developed based on the results from the literature review and research group discussion. The validity (i.e., face, content, and construct) and reliability (i.e., stability and internal consistency) of the tool were evaluated. Results: Four items were rewritten in qualitative content validity. Then, eleven and five items were excluded from the scale in terms of having low content validity ratios and corrected item-total correlation, respectively. The construct validity of the MATAPBD was assessed by adopting the maximum-likelihood exploratory factor analysis method and Promax rotation. The number of latent factors was calculated by performing Horn’s parallel analysis. In exploratory factor analysis, the remaining 17 items were categorized into four factors which explained 57.97% of the total extracted variance. Cronbach’s alpha and McDonald’s omega of all factors were > 0.7, and the intraclass correlation coefficient was 0.914 revealing the strong reliability of MATAPBD. Conclusions: The MATAPBD had good psychometric properties and may have been a valuable tool to evaluate prescribers’ adherence to practice guideline recommendations during the acute phase of bipolar disorder.

Turkish validity and reliability study of obstetric quality of recovery score (OBSQOR-11)

Objective: The present study was conducted to adapt the Obstetric Quality-of-Recovery Score (ObsQoR-11) into Turkish and to test its validity and reliability. Study Design: This study was designed as a methodological study, and the research population consisted of women who gave birth in the gynecology and obstetrics wards of two hospitals in Rize between January and March 2021 and who were hospitalized in the inpatient service 24 hours after delivery. We did not select a sample for the study and instead applied face-to-face questionnaires to women (vaginal delivery: 117 patients, cesarean delivery: 112 patients). Data collection tools included a questionnaire form developed by the researcher and the ObsQoR-11-TR scale. Results: While testing the ObsQoR-11-TR scale for validity and reliability, we first used a language validity method and then exploratory and confirmatory factor analysis methods. Accordingly, the ObsQoR-11-TR scale had a KMO (Kaiser-Meyer-Olkin Measure of Sampling Adequacy) value of 0.833 and a Bartlett's Test of Sphericity chi-squared value of 1818.396 (p<0.05). The two-factor model created here explained 69.39% of the variance. According to the exploratory factor analysis results, the factor loads of the items ranged from 0.490 to 0.920, and all items except one displayed factor load greater than 0.774. Again, according to the exploratory factor analysis, the scale was found to consist of two factors. This is consistent with the scale's original form. We used Cronbach's alpha test to calculate the reliability of the scale. Cronbach's alpha value was found to be high (0.781) for the whole scale and excellent for factor 1 (0.850) and factor 2 (0.920). Conclusions: Our validity and reliability tests conclude that the ObsQoR-11-TR consists of 11 items and 2 subscales and is a valid and reliable scale for Turkish society.

Confirmatory analysis on factors influencing the material management effectiveness in construction projects

PurposeConstruction material management is an important process in supporting construction operations that affect project performance. Previous studies attempt to identify factors influencing material management in different stages such as procurement, transportation and utilization. However, they lack a model to explain the relationship between influential factors and the effectiveness of material management. Therefore, this study aims to validate the variables and key factors influencing the effectiveness of material management processes.Design/methodology/approachA total of 42 variables were reviewed from literature in different stages of material management process. Survey questionnaires were used to collect data about participants' perceptions on these variables. The respondents were 200 project engineers and project managers from construction sites and offices in Vietnam. Then factor analysis techniques were undertaken to validate the structure of factor groups. Two methods of exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were, respectively, performed to evaluate and verify the model's fit.FindingsFactors influencing the effectiveness of material management were grouped into nine main factors, which are procurement issues, site conditions, planning and handling on site, industrial environments, contractual issues, quality control, suppliers and manufacturers' issues, transportation in and out site and security on site.Practical implicationsThe paper has several implications for theory and methodology related to material management. It features influential factors in association with the material management effectiveness. Therefore, senior managers can more fully understand the errors in their works and propose timely solutions to limit the unwanted risks.Originality/valueThis research contributes on theoretical development on factors influencing effectiveness of material management processes. The key findings on influential factors can be applied to measure the effectiveness of material management processes.

Barriers to Building Information Modeling (BIM) Deployment in Small Construction Projects: Malaysian Construction Industry

Building information modeling (BIM) application in construction projects is considered beneficial for effective decision making throughout the project lifecycle, as it maximizes benefits without compromising practicality. The Malaysian construction industry is also keen on the adoption of BIM culture. However, various identified and unidentified barriers are hindering its practical implementation. In light of this, this study identified and analyzed critical obstacles to using BIM in Malaysian small construction projects. Through the use of semi-structured interviews and a pilot study using the exploratory factor analysis (EFA) method, the critical BIM barriers (CBBs) have been identified. Based on the findings of the EFA, CBBs were classified into five categories, i.e., technical adoption barrier, behavioral barrier, implementation barrier, management barrier, and digital education barrier. Following the questionnaire survey, feedback of 235 professionals was collected with vested interests in the Malaysian construction business, and the CBBs model was created using analysis of moment structures (AMOS). The findings revealed that although Malaysian experts with little experience in practice were fairly educated about BIM, technical adoption barriers, behavioral barriers, management barriers, and implementation hurdles were critical for adopting BIM. The study’s findings will help policymakers eliminate CBBs and use BIM in Malaysia’s modest construction projects to save costs, save time, boost productivity, and improve quality and sustainability.

FACTORS AFFECTING NON-MUSLIM STUDENTS OF FACULTY OF HUMANITIES OF UNIVERSITAS INDONESIA TOWARDS ARABIC

Arabic is a foreign language commonly spoken by many people all over the world; moreover, internationally, it plays such a strategic role. Nevertheless, Indonesian non-Muslims have a relatively low interest in Arabic. We can observe it from the relatively low number of non-Muslims who major in Arabic literature in various universities all over Indonesia. Therefore, this is such an interesting phenomenon to be studied. We think that this phenomenon takes place due to their inappropriate or incorrect perceptions towards Arabic. This study is aimed at identifying various factors affecting the perception of non-Muslim students of Faculty of Humanities of Universitas Indonesia (FIB-UI) in the Class of 2020 towards Arabic. This study employs a quantitative method with a descriptive approach. The participants in this study are non-Muslim students of Faculty of Cultural Sciences of Universitas Indonesia (FIB-UI) in the Class of 2020 with the samples amounting to 53 persons. To process the data of the study, we employ an exploratory factor analysis method. Based on the results of the study, it is found out that there are 5 factors affecting their perceptions such as the introduction factor, the Arabic characteristic factor, the assessment/assumption factor, the language-as-a-religious-identity factor, and the stereotypes-of-the-Muslims factor.

Correlation Between Evaluative Beliefs of Patients, Reminder and Medication Adherence

Patients often fail to comply with the instructions given by their physicians. They miss the timing, forget, neglect, or procrastinate taking their medication. This deteriorates the health and causes financial burden to the patient and family. Reminders have been successfully used in many phases of day-to-day activities, increasing the efficiency and productivity. This paper tries to identify the relationship between reminder and the perception of importance of medication based on 15 different factors. These factors have been further assessed to find their relationship with adherence of medication. Hence, with a two-way approach, the studies use exploratory factor analysis method to identify the latent factors, and these latent factors have been used to find the correlation between reminder and adherence through confirmatory factor analysis. It was found that there is positive and significant correlation between reminder and the latent factors and also between the latent factors and adherence.

The effects of personal value, motivation, transformation and behavioural intention on spiritual tourism: a case study in Tibet

ABSTRACT In modern society where material life is gradually enriched, spiritual tourism emerges as a popular form of tourism to pay more attention to public spiritual needs. This study mainly focuses on the influence of tourists’ personal value, motivation, transformation and behavioural intention on spiritual tourism based on a case study of Tibet, China. We first identify the constructs of tourists’ perception relating to personal value, motivation, emotional transformation and behavioural intention. Through collecting data via questionnaires and in-depth interviews, we further verify and adjust the model via the methods of exploratory factor analysis, regression analysis and R Studio. The complex relationships between influencing factors and tourists’ perception are explored by structural equation modelling. The findings reveal personal value, internal motivation, transcendence and behavioural intention have significant positive relationships with spiritual tourism. We conclude with a discussion of the implications of this study and policy suggestions for effective and sustainable development of the spiritual tourism in Tibet under the current situation of global pandemic.

Presenting a Decision Support System Model based on the Analysis of Digital Supply Chain Management Risk Factors in the Country's Steel Industries

This article presents a decision support system model based on the analysis of risk factors of digital supply chain management in the country's steel industries and presents a decision support system (DSS) model based on the analysis of risk factors. At first, by reviewing the literature and using the exploratory factor analysis method, 37 risks were identified in 10 main categories including financial, environmental, organizational, supply, demand, process/production, suppliers, cyber/information system, market/price volatility risks. , and technology were classified. Then, by using interpretative structural equations, the relationships and mutual effects of these risks were analyzed. Since then, the purpose of a descriptive research and the method of collecting information from previous studies and articles, library studies and questionnaires have been used, and it is a survey, and the sample of the research is the managers and experts of the supply chain of the steel industry, who are fully familiar with the supply process and have at least 5-10 years of experience. They have a working history, and there are 170 of them. The proposed DSS model improves the ability to identify, evaluate, and manage risks and helps managers to make more optimal decisions in resource allocation and supply chain management with a more accurate analysis of risks. The research results show that this model can effectively reduce complications and increase efficiency in digital supply chain management. In the end, suggestions are given for implementing the model in other industries, applying more advanced technologies, and conducting further studies to improve and develop the model. This research can be used as a practical guide for managers and researchers in the field of risk management in the digital supply chain.

Sustainable finance and blockchain: A systematic review and research agenda

Sustainable finance and blockchain studies have garnered considerable interest recently. but there has been no systematic analysis of blockchain in sustainable finance to far. To fill this gap, based on the theme structure of blockchain research in the field of renewable finance from November 1, 2008 to January 31, 2022, this paper proposes a multi-level and all-round comprehensive bibliometric method (Co-occurrence Analysis method, Natural Language Processing method, and Exploratory Factor Analysis method) to comprehend the mode, process, and mechanism of the integration of them. The findings indicate that: (1) Blockchain has been widely used in many industries involved in sustainable finance; (2) Blockchain will have a long-term impact on Sustainable Finance in the fields of smart city and sharing economy; (3) Blockchain can be deeply integrated with other technologies to promote the diversified development of sustainable finance. Additionally, we highlight trends and research directions regarding blockchain in sustainable finance research.

Адаптация методик оценки технофобии и технофилии на русский язык

Background. Distrust of technology is an important barrier to its implementation into human life. In the research of attitude to computers and automated systems, special attention in psychological science has been paid to attitudes towards technology: technophobia and technophilia. Objective: The aim is to adapt two questionnaires to Russian sample in order to measure the technophobia and technophilia attitudes, as well as to evaluate their psychometric properties. Methods. The adaptation of the questionnaires was carried out in accordance with the requirements of psychometric standards. As part of the work, the methods of exploratory and confirmatory factor analysis were used to assess the internal structure of the techniques. Correlation analysis was used to obtain evidence supporting questionnaires validity. Sample. At the first stage of the study, 275 people filled out questionnaires on technophobia and technophilia, of which 194 were women (71 %) and 81 were men (29 %), the average age was 33.5 years (SD = 13.93). The second part of the study involved 545 employees of a large financial sector organization. Results. The methods showed sufficient reliability indicators on the scales (the Cronbach's α coefficient is higher than 0.8) and the expected correlation coefficients of the results on the questionnaires with each other and with questionnaires aimed at assessing personal anxiety, self-efficacy and personality traits (HEXACO). The internal structure of the adaptation of the questionnaires was analyzed with confirmatory and exploratory factor analysis. However, the hypothesis of the stability of the internal structure for each scale was not confirmed. Conclusion. Adapted questionnaires can be used for research purposes. It is necessary to continue collecting empirical data on both questionnaires. Practical application of the results. The proposed versions of the questionnaires can be used to assess technophobic and technophilic attitudes without dividing these scales into subscales. The authors have proposed an alternative version of dividing items into subscales for the technophobia questionnaire, while this version is considered as potentially more suitable, although it requires additional analysis on new data sets.

Developing an industry 4.0 readiness model using fuzzy cognitive maps approach

Industry 4.0, or the fourth industrial revolution, is a new paradigm in manufacturing digitalization, which provides various opportunities for enterprises. Industry 4.0 readiness models are worthy methods to aid manufacturing organizations in tracking the development of their businesses and operations. Nevertheless, there are different Industry 4.0 readiness models; no work has yet analyzed Industry 4.0 readiness degree and causal effects relationships using fuzzy cognitive maps. This paper proposes an Industry 4.0 readiness model that consists of readiness requirements obtained from the literature and validated through a mixed-method approach, including literature reviews and questionnaires. To validate the proposed Industry 4.0 readiness model, the exploratory factor analysis and confirmatory factor analysis methods are used. Fuzzy Cognitive Map is utilized to assess readiness, identify relevant concepts to improve readiness degree, implement Industry 4.0, and analyze causal relationships among concepts and dimensions. Through this model and the FCM method, managers can recognize relevant concepts and predict complicated cause-effect relationships among concepts in two states of static and dynamic analyses to increase readiness degree. The paper concludes by emphasizing managerial implications for successful applications in practice as well as future research suggestions on developing the Industry 4.0 readiness model.

A Partial Least Squares Structural Equation Modeling of Robotics Implementation for Sustainable Building Projects: A Case in Nigeria

Sustainability concepts should be adopted via new technologies to achieve the greatest possible gains without compromising the objectives of projects. In this research, we empirically investigated the influence of identified drivers on the implementation of robotics in the building sector of developing countries. To this end, with a view to sustainable building projects, the drivers of robotics were derived from the literature, which were subsequently contextually adjusted using a survey method through the exploratory factor analysis (EFA) method. The results of EFA revealed that the drivers of robotics can be classified into three primary constructs: technology, industry, and culture. However, the benefits of implementing robotics can be grouped into two primary constructs: resources and environment. Therefore, in this study, we employed partial least squares structural equation modeling (PLS-SEM) to evaluate the connections amongst drivers and applications of robotics in Nigeria’s building industry. The results indicated that the input to the implementation of robotics in Nigeria’s building industry via the drivers of robotics has a considerable influence at a small scale, with an impact of 14.5%. The findings of this study can serve as a guide for policymakers looking to improve their projects and increase sustainability by using robotics in the building sector.