Pearson Product Moment Correlation Research Articles

A novel hybrid efficiency prediction model for pumping well system based on MDS–SSA–GNN

AbstractThe prediction of the efficiency of oil well pumping systems plays an important role in optimizing the energy efficiency parameters of these systems. Currently, the prediction of oil well pumping system efficiency relies primarily on mechanistic models, but these models are often overly complex in predicting efficiency. Some researchers have attempted to use deep learning to predict system efficiency, but due to insufficient consideration of influencing factors and the causal relationships between these factors and system efficiency, they often include irrelevant variables as influencing factors, leading to less accurate prediction models. In this paper, a hybrid model (MDS–SSA–GNN) is proposed for the prediction of pumping well system efficiency. The model consists of six parts: Pearson's product moment correlation coefficient (PPMCC), multidimensional scaling (MDS) transform, maximum–minimum normalization, sparrow optimization algorithm (SSA), graph neural network (GNN), and maximum–minimum inverse normalization. First, the size of the correlation coefficient between each influencing factor and the system efficiency is quantitatively calculated by using PPMCC. Second, the main influencing factors are downscaled by using MDS and normalized based on the principle of maximum–minimum normalization. Third, the GNN algorithm is used for the prediction of the pumping unit system efficiency, and the SSA algorithm is used for the optimization of the initial values of the network parameters. Finally, the prediction results are obtained by the maximum–minimum antinormalization. To validate the model's accuracy, this study randomly selected 100 actual oil wells for comparative analysis and analyzed the impact of structural parameters of the hybrid algorithm on the prediction accuracy of system efficiency. The analysis results demonstrate that the proposed model can effectively predict system efficiency and has a certain role in improving the accuracy of oil well pumping system efficiency predictions.

Associations Between Sociodemographic Characteristics, eHealth Literacy, and Health-Promoting Lifestyle Among University Students in Taipei: Cross-Sectional Validation Study of the Chinese Version of the eHealth Literacy Scale.

The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan. This study aimed to examine the fit, validity, and reliability of the Chinese eHEALS multiple-factor model and to clarify the predictive effects of eHEALS on the HPLP among university students. University students in Taipei, the capital of Taiwan, were recruited, and 406 valid questionnaires including sociodemographic characteristics, eHEALS, and HPLP responses were collected. Confirmatory factor analysis was performed to validate the Chinese eHEALS. Independent sample t test, 1-way ANOVA, and multiple linear regression analyses were conducted to examine the relationship between sociodemographic variables and the HPLP. Pearson product-moment correlation and binary logistic regression analyses were performed to ascertain the predictive effects of eHEALS on the HPLP. The Chinese eHEALS exhibited an optimal fit when delineated into the search, usage, and evaluation 3-factor model (comparative fit index=0.991, Tucker-Lewis index=0.984, root mean square error of approximation=0.062), and its validity and reliability were confirmed. The mean eHEALS score of university students was 3.17/4.00 (SD 0.48) points, and the score for the evaluation subscale was the lowest (mean 3.08, SD 0.56 points). Furthermore, there were significant sex, institution orientation, daily reading time, daily screen time, primary information channel, and perceived health status differences in the HPLP: male participants (t404=2.346, P=.02), participants attending general university (t404=2.564, P=.01), those reading ≥1 hour daily (F2,403=17.618, P<.001), those spending <3 hours on mobile devices or computers daily (F2,403=7.148, P<.001), those acquiring information from others (t404=3.892, P<.001), and those with a good perceived health status (F2,403=24.366, P<.001) had a significantly higher score. After adjusting for sociodemographic variables, the eHEALS score remained an independent predictor of the HPLP. Compared to students with relatively high eHEALS scores, those with relatively low eHEALS scores had a 3.37 times risk of a negative HPLP (adjusted odds ratio [OR]=3.37, 95% CI 1.49-7.61), which could explain 14.7%-24.4% of the variance (Cox-Snell R2=0.147, Nagelkerke R2=0.244, P=.004). There is room for improvement in eHealth literacy among university students in Taipei. eHEALS may be used to screen students who require HPLP improvement, thereby providing appropriate eHealth literacy training programs, particularly those targeting evaluation literacy. Additionally, the 3-factor model of the Chinese eHEALS used in this study results in more definite scale content, thus increasing the practicality and applicability of this scale in health-promoting studies.

Evaluation of junctional zone differential and ratio as possible markers of clinical efficacy in uterine artery embolisation of adenomyosis

BackgroundUterine artery embolisation is a recommended method of adenomyosis treatment with good clinical results. Changes in uterine volume and maximal junctional zone thickness (JZmax) after embolisation are thoroughly analyzed in the literature. In contrast changes in other suggested morphological diagnostic markers of adenomyosis (junctional zone differential / JZdiff—and junctional zone ratio / JZratio) are rarely evaluated. This single-centre retrospective study aimed to analyse the changes in morphological parameters used for the MR imaging diagnosis of adenomyosis (including JZdiff and JZratio) after UAE. Clinical effectiveness and safety were also analysed.Materials and methodsPatients who underwent UAE for pure adenomyosis from Jan 2008 to Dec 2021 were evaluated. Adenomyosis was diagnosed based on JZmax, JZdiff, and JZratio measured on MR imaging. To assess clinical efficacy, the numerical-analog-quality-of-life (QoL) score was routinely obtained from patients at our centre. MRI morphological data were analysed. Statistical analysis was conducted using Wilcoxon signed-rank test, uni- and multivariate regression models, Pearson product-moment correlation, and Kruskal–Wallis tests.ResultsFrom our database of 801 patients who underwent UAE between Jan 2008 to Dec 2021, preprocedural MR images were available in 577 cases and, 15 patients had pure adenomyosis (15/577, 2.6%). Uterine volume, JZmax, and JZdiff decreased significantly after UAE; QoL score increased significantly. A significant correlation was found between QoL change vs. JZmax and JZdiff change. Permanent amenorrhoea and elective hysterectomy 5 years after UAE were both 7.1%.ConclusionChange of JZdiff after UAE in adenomyosis is a potential marker of clinical success. UAE is a clinically safe and effective treatment for adenomyosis.Graphical

Self-Concept in Relation Sports Amotivation among Learners in Davao Central District, Davao City

The current study delves into exploring the influence of self-concept on the sports motivation of learners. In this study, the researcher selected the 192 elementary school learners in Davao Central District, Davao City as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation and multiple linear regression analysis. Findings revealed that self-concept and sports motivation of learners in Davao Central District in Davao City were described as extensive. Further, correlation analysis demonstrated that there is a significant relationship between self-concept and sports motivation of learners in Davao Central District in Davao City. Evidently, regression analysis proved that self-concept in terms of academic self-concept, emotional self-concept, family self-concept, and physical self-concept were significant predictors of sports motivation of learners in Davao Central District in Davao City. In other words, self-concept has influence on the process in sports motivation of learners in Davao Central District in Davao City.

Humor, Self-Esteem, and Spite: Unraveling the Dynamics in Romantic Relationships

The tendency to display transgression for individuals we consider close is higher than those we consider distant. And not always there is a "forgive and forget" in such interpersonal dynamics. This revenge-seeking may emerge as spitefulness in romantic relationships, in subtle forms of humor, and is linked with self-esteem. The present research aims to study whether humor and self-esteem increases or de-creases spitefulness among couples. A total of 100 participants (73 female, 27 male) from Mumbai and Bengaluru were asked to fill out a Google form consisting of the Humor Styles Questionnaire, Collective Self-Esteem Scale, and Spitefulness Scale respectively. The statistical tools used were – Pearson's product-moment correlation, two-way ANOVA, and one-way ANOVA. Highlights of the results section revealed there is a significant correlation between aggressive humor and spitefulness, and humor and self-esteem. Spitefulness was unrelated to other humor styles as well as self-esteem. Additional one-way ANOVA revealed difference in humor due to gender and relationship status, while self-esteem and spitefulness have little impact due to gender and relationship status. The study also high-lights the need for a new scale for measuring spitefulness and suggests future studies for a deeper understanding of the underplaying factors associated with spitefulness among couples. The study concludes by suggesting current romantic partners to develop higher self-esteem and benign humor styles to enhance romantic relationship.

The Usage of Android Phone and the Academic Performance of the Grade 10 Students in Jose Abad Santos National High School

The study aimed to determine the impact of Android phones on the academic performance of Grade 10 students in Jose Abad Santos National High School. The study employed a descriptive-correlational research design. Were 182 respondents selected using a stratified random sampling technique who responded to the adapted survey guide questionnaire? The frequency count and percentage, mean, and Pearson product-moment correlation coefficient were the statistical tools used. Most respondents were 17-18 years old, female, used Vivo android phone, and had average socio-economic status. The usage of Android phones occasionally used by the respondents, in particular in the cognitive aspect. The average grade of the Grade 10 students in the first grading period of the school year 2022-2023 was 83.09 indicating that their academic performance was approaching proficiency level—a significant relationship was found between the usage of Android phones and academic performance of the Grade 10 students. Moreover, the findings indicated that there was a significant relationship between the Android phone and academic performance of the Grade 10 students particularly their cognitive aspects in which the students develop their mental skills and acquisition of knowledge.

Financial Prudence as Determinant of Employees’ Interest in Graduate Study

The study aimed to looked into the influence of financial prudence of employees towards employees’ interest towards graduate study. In this study, the researcher selected the 100 government employees in Local Government Unit (LGU) in Koronadal City as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected to the following statistical tools: Mean, Pearson Moment Product Correlation and Regression Analysis. Findings revealed that financial prudence and employees’ interest in graduate study were rated as extensive. Further, correlation analysis demonstrated that there is a significant relationship between financial prudence and employees’ interest towards graduate study in Koronadal City. Evidently, regression analysis proved that financial prudence in terms of financial resources and financial goals identification significantly influenced the employees’ interest towards graduate study in Koronadal City. Local Government Unit (LGU) should introduce initiatives that promote financial literacy and prudence among employees, including workshops, seminars, and educational resources tailored to the specific financial needs and challenges associated with pursuing graduate study.

Developing a novel permeability prediction method for tight carbonate reservoirs using borehole electrical image logging

Predicting permeability accurately is crucial for effective hydrocarbon extraction, but the intricate pore structures of tight carbonates, resulting from sedimentation, diagenesis, and tectonic activity, present significant challenges. Based on borehole electrical image logging and fractal theory, we developed a method to calculate the fractal dimension of the porosity spectrum to characterise the complexity of the pore structure of the reservoir. Fractal features of the porosity spectra were studied and fractal parameters were calculated, such as the left ( D f_left), middle ( D f_middle), and right fractal dimension ( D f_right). A permeability prediction model was proposed based on fractal parameters by investigating the linear relationship between fractal parameters and core permeability. The results indicate that D f_left and permeability have a coefficient of determination (R2) of 0.78, whereas R2 between porosity and permeability is only 0.03. D f_middle and D f_right have little correlation with core permeability. The prediction results of the D f_left -based permeability model are in good agreement with the experimental data with Pearson product-moment correlation coefficient of 0.93 in the field applications. Our findings suggest that large pores primarily contribute to the permeability of tight carbonates since D f_left corresponds to the macroporous part of the porosity spectrum. This study enhances our understanding of the factors that influence permeability and provides a useful tool for predicting permeability in tight carbonate reservoirs.

Electronic Marketing Techniques and Business Success of Food and Beverage Manufacturing Firms in South-South, Nigeria

This study examined electronic marketing techniques and business success of food and beverage manufacturing firms in south-south, Nigeria. This study adopted the correlational research design; the population of this study consisted of 28 registered food and beverage manufacturing firms in South-South, Nigeria. One hundred and ninety-six (196) managers and senior marketing personnel of the registered food and beverage manufacturing firms on the basis of 7 managers and senior marketing personnel per headquarter branch constituted the study subjects. The responses received from the data were analyzed using mean and standard deviation while the hypotheses were tested using the Pearson Product Moment Correlation. Based on the results of the analysis carried out, it was confirmed that electronic marketing has a positive and significant relationship with business success of food and beverage manufacturing firms in the South-South zone of Nigeria. Based on these findings, it was concluded that electronic marketing has a positive and significant relationship with business success of food and beverage manufacturing firms in the South-South zone of Nigeria. The study recommends amongst others that food and beverage manufacturing firms in Nigeria, particularly those that are currently experiencing low business success, should adopt electronic marketing such as content marketing, e-mail marketing and social media marketing as it would increase their level of business success.

LIFESTYLE AND BEHAVIOR, NUTRITIONAL STATUS, AND DEPRESSION SYMPTOMS IN RELATION TO THE ACADEMIC ACHIEVEMENT OF JUNIOR AND SENIOR HIGH SCHOOL STUDENTS

This study investigated the relationship between lifestyle and behavior, nutritional status, depression symptoms, and academic achievement of junior and senior high school students in selected secondary schools in the Division of Malaybalay City. The descriptive-correlational research design was employed. Data were gathered from 580 students chosen using total random sampling and were analyzed using descriptive statistics such as mean, frequency counts and percentage, Pearson-product moment correlation, and multiple linear regression. The findings revealed that in lifestyle and behavior, students’ physical activity involved 3 to 4 times of physical exercise per week. Their sleep patterns showed that they felt sleepy only 1 to 2 times weekly during their activities. Their screen time usage averaged 2 to 3 hours for different electronics, with mobile phones or smartphones more often used at over 3 hours. Moreover, the students’ nutritional status through their dietary behavior in terms of food choice revealed that they often put importance on choosing their foods. The diversity of their daily diet included vegetables, starches (e.g., rice and rice products) and meat/fish often, and fruits, milk, fats, sugar and beverage occasionally. The students’ anthropometric measurements had an average weight of 95.90 lbs. and an average height of 178.65 cm. The depression symptoms experienced by the students were borderline to moderate depression levels. The study also found that the students’ academic achievement was very satisfactory. Furthermore, correlation and regression analyses showed that the variables, sleep patterns and depression symptoms, negatively and significantly impact students’ academic achievement. Therefore, less frequency of daytime sleepiness and fewer depression symptoms could increase academic performance. Hence, these findings have implications for students’ academic success and well-being, especially in improving their sleep quality and supporting effective interventions for depression. KEYWORDS: Lifestyle and behavior, nutritional status, depression symptoms, academic achievement

ON THE JOB TRAINING DESIGN IN IMPROVING PERFORMANCE AT 4.0 ERA: STUDY ON AUTOMOTIVE INDUSTRY IN INDONESIA

At 4.0 era of industrial revolution, training’s role becomes more important for organizations because it will increase effectiveness and efficiency not only for individuals but for organizations. Many things affect performance, but the most important factor in improving performance is training. This study aims to evaluate On the Job Training design implementation at PT YXZ and see how the variables in the OJT design contribute to improving employee performance. Sampling technique method is probability random sampling with the Slovin formula according to the number of employees of each unit. The population in this study were all permanent employees with a total of 1,665. Samples were taken from various positions and tenure. The number of samples obtained was 323 employees. The results of the validity and reliability test are known that the Cronbach’s Alpha value of each indicator is above 0.9 so it can be said that all indicators have a very good level of reliability. The Pearson Product Moment correlation value is above 0.8 so that the measuring instrument is considered valid. Based on the results of the frequency distribution, it was found that according to OJT, 70.51% respondents had been implemented quite well. The results of the simultaneous regression test resulted in a Pvalue = 0.000 (P&lt; 0.05) which means that Ho was rejected and Ha was accepted. The value of how much influence the overall indicator on the effectiveness of OJT is displayed in the regression model as follows, OJT Factor Value = 2,422 + 0.015 (total value of OJT Implementation items). The results of this study prove that the design model in OJT have a significant influence in to performance.

Psychometric Properties of the Academic Self-Efficacy Scale for Higher Secondary Students

In response to the scarcity of grade-specific academic self-efficacy scale, the present study was aimed to adapt a scale for measuring academic self-efficacy for higher secondary students in the context of Bangladesh. Main objective of this study was to assess psychometric properties of the Academic Self-efficacy Scale for Bangladeshi higher secondary students. This measure was administered on a sample 207 higher secondary students who were selected from 3 administrative districts of Bangladesh by non-probability sampling techniques. Psychometric properties were assessed through item analysis (item-total correlation, Cronbach’s Alpha and split-half reliabilities), differential item function, and Pearson product moment correlation coefficient (Predictive validity). One item excluded from the scale as this item had insufficient item-total correlation. Findings revealed that this scale had sufficient internal consistency reliabilities and predictive validity and suggested that this could be applicable for assessing academic self-efficacy of higher secondary students in Bangladesh. The Chittagong Univ. J. B. Sci.,Vol. 10(1 and2):149-156, 2020

ChickenSense: A Low-Cost Deep Learning-Based Solution for Poultry Feed Consumption Monitoring Using Sound Technology

This research proposes a low-cost system consisting of a hardware setup and a deep learning-based model to estimate broiler chickens’ feed intake, utilizing audio signals captured by piezoelectric sensors. The signals were recorded 24/7 for 19 consecutive days. A subset of the raw data was chosen, and events were labeled in two classes, feed-pecking and non-pecking (including singing, anomaly, and silence samples). Next, the labeled data were preprocessed through a noise removal algorithm and a band-pass filter. Then, the spectrogram and the signal envelope were extracted from each signal and fed as inputs to a VGG-16-based convolutional neural network (CNN) with two branches for 1D and 2D feature extraction followed by a binary classification head to classify feed-pecking and non-pecking events. The model achieved 92% accuracy in feed-pecking vs. non-pecking events classification with an f1-score of 91%. Finally, the entire raw dataset was processed utilizing the developed model, and the resulting feed intake estimation was compared with the ground truth data from scale measures. The estimated feed consumption showed an 8 ± 7% mean percent error on daily feed intake estimation with a 71% R2 score and 85% Pearson product moment correlation coefficient (PPMCC) on hourly intake estimation. The results demonstrate that the proposed system estimates broiler feed intake at each feeder and has the potential to be implemented in commercial farms.

Mediating Effect of Moral Sensitivity on the Relationship between Appreciative Leadership of School Principals and Comprehensive Teaching Approach of Teachers

The current study aimed to evaluate whether moral sensitivity mediates the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers. In this study, the researcher selected the 201 secondary school teachers in Governor Generoso South District in Davao Oriental as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected on the following statistical tools: Mean, Pearson Moment Product Correlation, and Sobel z-Test. Findings revealed that appreciative leadership of school principals, comprehensive teaching approach, and moral sensitivity of teachers in Governor Generoso South District in Davao Oriental were rated as moderately extensive. Further, correlation analysis demonstrated that there is significant relationship among appreciative leadership of school principals, comprehensive teaching approach, and moral sensitivity of teachers in Governor Generoso South District in Davao Oriental. Evidently, Sobel z-test proved that moral sensitivity partially mediated the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers in Governor Generoso South District in Davao Oriental. In other words, moral sensitivity is a significant mediator on the relationship between appreciative leadership of school principals and comprehensive teaching approach of teachers.

The Role of Sympathetic School Culture as Moderator on Managerial Conceptual Ability and Teaching Engagement of Teachers

The current study was set evaluate whether sympathetic school culture significantly moderates the interaction between managerial conceptual ability and teaching engagement of teachers. In this study, the researcher selected the 198 public elementary school teachers in Talomo-A District, Davao Oriental as the respondents of the study. Stratified random sampling technique was utilized in the selection of the respondents. Non-experimental quantitative research design using descriptive-correlational method was employed. The data collected were subjected to the following statistical tools: Mean, Pearson Moment Product Correlation, and Hierarchical Regression Analysis. Descriptive analysis showed that managerial conceptual ability and teaching engagement of teachers were described as extensive, while sympathetic school culture was rated as moderately extensive. Further, partial correlation analysis demonstrated that there is a significant relationship between managerial conceptual ability and teaching engagement of teachers in Talomo-A District, Davao City when moderated by sympathetic school culture. Evidently, heirarchical regression analysis proved that sympathetic school culture significantly moderates the interaction between managerial conceptual ability and teaching engagement of teachers in Talomo A District, Davao City. In other words, sympathetic school culture is a significant moderator on the between managerial conceptual ability and teaching engagement of teachers.

Occupational Stress Management of Truck Drivers and its Effect on Road Safety: Evidence from Petroleum Tanker Drivers in Lagos State, Nigeria

The feeling of apathy among truck drivers regarding managing their health and work stress is endangering lives and properties on Lagos roads. The study examined occupational stress management of truck drivers and on road safety. The study adopted the descriptive survey research designusing a complete enumeration method (Census).Copies of the questionnaire were distributed to fifty truck drivers who are executive members of the union in the state. The questionnaire was designed on a four-point Likert scale and the study used Pearson Product Moment Correlation and Multiple regression in analyzing the collected data. The findings revealed that there is astrong relationship between fatigue and road safety and a weak relationship between inattention and road safety. The findings further revealed that fatigue and inattention account for 47.8% of road safety issues experienced by truck drivers in Lagos State. The study concluded that the indicators identified for the independent variable are good measures of the occupational stress construct. However, the study recommended among others that employers of truck drivers and their unions should enlighten them and create more awareness of the need for them to pay more attention to their health to ensure the safety of lives and properties on Lagos roads.

Hubungan Kecerdasan Sosial dengan Perilaku Altruisme pada Siswa SMP Garuda Jakarta

This study was motivated by the phenomenon of low social intelligence related to altruism behavior in Garuda Jakarta Middle School students. The purpose of this study is to determine the relationship of social intelligence with altruism behavior in Garuda Jakarta Middle School students. The study was conducted using a quantitative approach with correlational methods. The population and research sample amounted to 78 students using saturated samples determined based on census techniques. Data analysis techniques are carried out by testing the analysis requirements which include the normality test and linearity test and hypothesis test using the Pearson Product Moment Correlation Formula. The normality test results show ASYM. Sig of 0.915&gt; 0.05, so that data is in the normal distribution area. The linearity test results show the sig value in the deviation from linearity of 0.414&gt; 0.05 which means there is a linear relationship between the social intelligence variable and the altruism behavior variable. Furthermore, the results of the hypothesis test show that SOIAL intelligence is positively related to altruism behavior, with a significance value (P) = 0,000 &lt;0.05 and the correlation coefficient (R) value of 0.619. That is, the higher the level of social intelligence of students, the higher the altruism behavior. Vice versa, the lower the social intelligence of students, the lower the altruimening behavior

Hubungan Kecerdasan Sosial dengan Perilaku Altruisme pada Siswa SMP Garuda Jakarta

This study was motivated by the phenomenon of low social intelligence related to altruism behavior in Garuda Jakarta Middle School students. The purpose of this study is to determine the relationship of social intelligence with altruism behavior in Garuda Jakarta Middle School students. The study was conducted using a quantitative approach with correlational methods. The population and research sample amounted to 78 students using saturated samples determined based on census techniques. Data analysis techniques are carried out by testing the analysis requirements which include the normality test and linearity test and hypothesis test using the Pearson Product Moment Correlation Formula. The normality test results show ASYM. Sig of 0.915&gt; 0.05, so that data is in the normal distribution area. The linearity test results show the sig value in the deviation from linearity of 0.414&gt; 0.05 which means there is a linear relationship between the social intelligence variable and the altruism behavior variable. Furthermore, the results of the hypothesis test show that SOIAL intelligence is positively related to altruism behavior, with a significance value (P) = 0,000 &lt;0.05 and the correlation coefficient (R) value of 0.619. That is, the higher the level of social intelligence of students, the higher the altruism behavior. Vice versa, the lower the social intelligence of students, the lower the altruimening behavior

Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work

The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.

Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work

The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.