Favorable Impact Research Articles

THE ROLE OF KNOWLEDGE MANAGEMENT, INNOVATION, MOTIVATION AND JOB SATISFACTION IN IMPROVING EMPLOYEE PERFORMANCE (CASE: INDONESIA)

The purpose of this study is to examine how knowledge management affects employee creativity, motivation, and work satisfaction in Indonesia's printing sector. In 2024, questionnaires were randomly delivered to PT Penerbit Erlangga Group Jakarta employees in order to gather cross-sectional data. In order to investigate a particular population or sample, data were gathered using a quantitative approach based on positivism. Research tools were used to collect data, which were then statistically evaluated to test hypotheses. The findings indicate that while knowledge management has no detrimental effects on employee performance, it does have a favorable impact on employees' motivation, creativity, and job satisfaction in Indonesia's printing industry. Furthermore, employee performance is not positively impacted by innovation, but it is positively impacted by job satisfaction and motivation. The managerial ramifications of these results underscore how critical it is for printing companies to concentrate on initiatives that raise employee engagement and satisfaction, foster innovation, and enhance staff knowledge and abilities.

ANALISIS PRODUKTIVITAS KERJA KARYAWAN PADA KF KAYRA TENUN IKAT TROSO DI JEPARA

Abstract: Work productivity is the consequence of an individual's achievement in carrying out assigned tasks based on talent, experience, seriousness, and time to support the organization's success. The goal of this study is to examine employee job productivity. The author employed a quantitative descriptive research method to conduct this study. Quantitative technique, in which existing hypotheses are tested to determine their truth. Literature and questionnaires were employed to acquire data. According to the findings of this study, work discipline and work environment have a negative and minor effect on work productivity. Meanwhile, at KF, training, motivation, and compensation all have a favorable and considerable impact on job productivity. Kayra Tenun's Jepara Ikat Troso Keywords: work productivity, employees

The effectiveness of oral motor interventions on the weight gain, independent oral feeding, and length of hospital stay in hospitalized preterm infants: A systematic review and meta-analysis.

Oral feeding for preterm infants has been a challenging issue globally. In an effort to enhance the effectiveness of oral feeding in preterm infants, oral motor intervention (OMI) was developed. Present systematic review and meta-analysis study aims to examine the impact of various OMI techniques on key outcomes, including body weight at the time of discharge, the duration required to achieve independent oral feeding, and the length of hospital stay for preterm infants. A systematic search of the literature was performed across various databases such as PubMed, Scopus, and Web of Science and Google Scholar up to September 28, 2023. Quality assessment was conducted using the Joanna Briggs Institute (JBI) checklist. The overall effect measure was calculated using a random-effects model and was presented as the standard difference of the mean (SDM), accompanied by the standard error and a 95% confidence interval (CI). We used I 2 statistic for investigating the heterogeneity between studies. Data analysis was performed by CMA software (Version 2). Finally, 22 articles included in this review. The overall effect for body weight at discharge was found to be statistically significant in the prefeeding oral stimulation (PFOS) (SDM = 7.91, 95% CI: 5.62, 10.2, p = 0.000, I 2 = 86.31) and Premature Infant OMI (PIOMI) (SDM = 3.71, 95% CI: 0.72, 6.69, p = 0.01, I 2 = 96.64) groups versus control group. The overall effect of independent oral feeding was significant for PFOS-only (SDM = -0.64, 95% CI: -1.1, -0.17, p = 0.007, I 2 = 75.45), PIOMI only (SDM = -1.48, 95% CI: -2.49, -0.46, p = 0.004, I 2 = 93.73) and nonnutritive sucking (NNS) only (SDM = -0.53, 95% CI: -0.76, -0.30, p = 0.001, I 2 = 0) groups versus control groups. The overall effect of length of hospital stay was significant for NNS group (SDM = -0.45, 95% CI: -0.67, -0.23, p = 0.067, I 2 = 0) and PIOMI group (SDM = -0.42, 95% CI: -0.69, -0.15, p = 0.002, I 2 = 20.18) versus control group. Among OMIs, the PIOMI approach generally exhibited a more favorable impact on body weight gain at discharge, the duration required to achieve independent oral feeding, and the length of hospital stay.

Pengaruh Strategi Perusahaan, Transparansi, Kinerja ESG Terhadap Penghindaran Pajak Pada Perusahaan Konsumen Non-Cyclicals Sub Sektor Makanan dan Minuman Tahun 2020-2023

This research aims to determine the influenceof Corporate Strategy, Transparency, and ESG Performance on Tax Avoidance within the ConsumerNon-Cyclical Companies operating in the Food andBeverage Sub Sector listed on the Indonesia StockExchange between 2020 and 2023. The data utilizedcomprises secondary data extracted from companyannual reports and sustainability reports accessiblethrough www.idx.co.id or individual company websites. Employing a purposive sampling approach withspecific criteria, a total of 196 data samples were obtained. The data analysis methodology includesdescriptive tests and panel data regression testsconducted using Eviews 12 software. The findings reveal that (1) Corporate Strategyexhibits no discernible influence on Tax Avoidance, (2) Transparency demonstrates a favorable impact on TaxAvoidance, and (3) ESG Performance does not exhibita significant effect on Tax Avoidance.

Generational Diversity and Performance of Employees in County Governments: A Case of County Government of Nyeri

This study sought to determine the influence of generational diversity on employee performance in the county government of Nyeri. A descriptive research design was adopted, targeting the 3800 employees of the Nyeri County administration. Data was collected from a sample of 362 employees using a self-administered questionnaire. With the use of SPSS, data analysis techniques included descriptive, correlation and regression analysis. Tables were used to display the results. There was a significant variation in age within the County government of Nyeri. There was a strong positive correlation between generational diversity and employee performance, r(344)=.811 p.001. Regression analysis also revealed that generational diversity is a significant (p.001) predictor of employee performance, accounting for a substantial proportion (65.7%) of the variance in performance and demonstrating a strong positive effect. It was concluded that generational diversity in the county administration of Nyeri has a notable and favourable impact on their performance. There is therefore a need for equal opportunities for career growth and development across all age categories within county government of Nyeri.

Electric vehicle aggregator as demand dispatch resources: Exploring the impact of real-time market performance on day-ahead market

As the integration of variable renewable energy sources (VREs) into power grids escalates, effectively managing the unpredictability of VRE generation becomes crucial. Electric vehicles, utilized as distributed energy storage, emerge as a potential solution. However, it remains unclear whether electric vehicle aggregators (EVAs), acting as demand dispatch resources, have a favorable impact on the overall electricity market, especially when considering their performance in real-time markets during day-ahead energy allocations. Therefore, this paper proposes a decentralized clearing mechanism (DCM) relying on an multi-attribute evaluation model of EVAs for optimal bidding strategies in the day-ahead market. The EVAs multi-attribute evaluation model employs an integration of the Entropy-Analytic Hierarchy Process, allowing for the simultaneous consideration of real-time performance and day-ahead bidding prices of EVAs. Consequently, the decentralized clearing mechanism supports strategic electricity planning in the day-ahead market by incorporating the actual market performance of EVAs. Furthermore, a real-time market bidding model is developed to balance dynamic mismatches between VRE generation and demand, aiming to maximize profits through optimized real-time commitment and real-time dispatch. System simulations on the IEEE39 bus system demonstrate that the DCM enhances overall profits by 18.69% compared to the centralized clearing mechanism.

Enhancing nursing home quality through electronic health record implementation.

Background: The quality of care in nursing homes (NHs) in the United States has long been a matter of policy concern. Although electronic health records (EHRs) are argued to improve quality, implementation has lagged due to various factors such as financial constraints and limited research on their impact on NH quality. Objective: This study examined the relationship between EHR implementation and NH quality using Donabedian's structure-process-outcome model. Method: Data on EHR implementation were collected via a 2018 survey of all Federally certified Arkansas NHs (n = 223). Of the 63 responding NHs, 48 reported EHR implementation. Survey data were merged with secondary sources such as Certification and Survey Provider Enhanced Reporting. A total of 744 NH-years for the period 2008-2020 were included in the final sample. A pre-post negative binomial panel data regression was used to examine the relationship between EHR implementation (dichotomous variable) and NH deficiencies (dependent count variable) with facility/community-level control variables. Results were reported as incidence rate ratios (IRR). Results: NHs that had implemented EHR experienced an 18% reduction in the rate of deficiencies compared to those without EHR systems (IRR = 0.82, 95% CI [0.70, 0.99], p = 0.035). Conclusion: EHR implementation had a favourable impact on NH quality. Implications: Past research suggests that higher NH quality may be associated with improved financial performance. Therefore, EHR implementation has the potential to address two critical challenges: enhancing care quality and improving financial outcomes. However, government financial incentives may be necessary to address the high-cost of implementing EHR systems.

Assessing the impact of triiodothyronine treatment on the lung microbiome of mice with pulmonary fibrosis

BackgroundIdiopathic pulmonary fibrosis (IPF), an interstitial lung disease, is characterized by the exacerbation of progressive pulmonary fibrosis (PF). IPF primarily affects older individuals and can lead to respiratory failure. This study aimed to assess the effects of triiodothyronine (T3) treatment on the lung microbiome of mice with PF.MethodsMice were perfused with bleomycin (BLM) to establish a PF model. Using a randomized design, 40 female specific pathogen-free (SPF) C57BL6/N mice were divided into four groups: saline, saline + T3, BLM, and BLM + T3. Histological morphology was assessed through Hematoxylin and Eosin staining as well as Masson’s Trichrome staining. For the identification of lung bacteria, 16S rRNA gene sequencing was employed. An Enzyme-Linked Immunosorbent Assay was used to measure total T3 (TT3), free T3 (FT3, and reverse T3 (rT3) levels in the peripheral serum.ResultsT3 treatment ameliorated BLM-induced lung fibrosis and structural damage. The microbiome experienced a decrease in the abundance of Proteobacteria, Bacteroides, and Actinomycetes and an increase in the abundance of Firmicutes when exposed to BLM; however, T3 treatment reversed this effect. The four groups showed no significant difference in alpha microbiome diversity (P > 0.05). Serum concentrations of TT3 and FT3 were positively correlated with microbiome abundance (P < 0.05). Administration of T3 enhanced the microbiota in PF without affecting the diversity and biological functions of the microbiome (P > 0.05).ConclusionThe administration of T3 demonstrated a favorable impact on the lung microbiota of mice afflicted with PF, thereby partially substantiating the potential role of T3 as a therapeutic agent in the management of PF.

Exploring the therapeutic potential of topical probiotics in dermatological diseases: a comprehensive review of clinical studies.

The gastrointestinal tract may contribute to the regulation of systemic inflammation and skin diseases due to the balance between the pathogenic, opportunistic, and beneficial bacterial species it contains. External supplementation of beneficial bacteria, besides its known positive effect in the treatment of digestive system diseases, also has different favorable effects such as accelerated wound healing, suppression of inflammation, lower infection risk, and reduced antibiotic requirement. It has been reported that oral use of probiotics may be effective in the treatment of skin diseases such as acne, psoriasis, and atopic dermatitis. Furthermore, topical administration of probiotics may create a positive bacterial balance, eliminate pathological conditions, and thus have a favorable impact on the management of skin diseases. Interest in the effect of the skin microbiome and topical probiotics in the treatment of skin diseases has increased recently. Herein, 21 clinical studies and a case report in the PubMed database on the use of topical probiotics in dermatological diseases were evaluated.

The effects of behavioral intention to use e-procurement system on public procurement performance in emerging countries

This article aims to assess the direct and indirect influence of suppliers' and buyers' behavioral intention on the performance of public procurement in Tanzania. This is accomplished by analyzing their utilization of the e-procurement system, using an adapted rendition of the Unified Theory of Acceptance and Use of Technology. The study used an explanatory cross-sectional survey research design and implemented a stratified sampling method to choose a sample of 312 participants, comprising of both customers and providers. The data collecting process included administering a questionnaire consisting of closed-ended questions and conducting a thorough examination of pertinent documents. The gathered data was then examined using Partial Least Squares Structural Equation Modeling, with the aid of SmartPLS 4 software. The findings indicate that behavioral intention has a favorable, direct, and indirect impact on the performance of public procurement. The research suggests that the effectiveness of public procurement is indirectly impacted by the behavioral inclination of both buyers and suppliers to use the e-procurement system. Moreover, the efficiency of the e-procurement system is significantly impacted by the use patterns of both purchasers and vendors. Therefore, it is recommended that developing countries, such as Tanzania, should take into account the behavioral intention and usage behavior of both buyers and suppliers before, during, and after the adoption of an e-procurement system.

Factors influencing company performance and global value chains participation: the case of textiles and apparel industries in Ethiopia in Eastern Industrial Zone (EIZ)

This paper aims to identify the factors influencing companies’ performance of Textiles and Apparel Industries in Ethiopia, particularly, in the Eastern Industrial Zone. The researchers employed Maximum Likelihood with Robust (MLR) in Confirmatory Factor Analysis Model (CFA) for survey data gathered from the employees of the Textiles and Apparel industries operating in the Eastern Industrial Zone in Ethiopia which took place from 2020-2021. Main findings of this study indicate that (i) one-unit enhancement in Companies’ Performance yields a favorable impact on raw materials &amp; financial situation; (ii) human capital experiences a rise in the expected units followed, (iii) competitive environment displaying an increase of the units as well, (iv) policies environment demonstrates an improvement, finally (v) organizational development exhibits growth of the expected units as well. This study has identified that these five endogenous latent variables are positively influenced by exogenous latent variable, Companies’ Performance because all have shown the results above the expectation. This study brings insight to investors how they boost their companies’ performance and develops the best strategies for the success of their companies.

Keys to Successful Civil Servant Performance in the Digital Era: Explaining the Role of Visionary-Participative Leadership and Digital Technology Literacy

This study investigates the correlation between visionary-participative leadership style, digital technology literacy, employee involvement, and civil servant performance within the digital transformation context of the Semarang City Regional Revenue Agency. Employing a quantitative methodology, a survey of 105 staff members is conducted. The investigation in this research utilized Structural Equation Modeling methodologies employing the Partial Least Squares (PLS-SEM) framework. This study underscores the significance of adopting a holistic method toward advancing human capital by combining the improvement of digital competencies with tactics to enhance employee involvement. Study findings indicate that digital technology literacy skills substantially and constructively influence employee engagement and performance. Visionary-participative leadership positively impacts employee engagement, yet its direct effect on performance is deemed insignificant. Employee involvement is demonstrated to have a significant and favorable impact on performance. Theoretical and practical implications emphasize the necessity of crafting a more tailored digital transformation framework for the public sector and the importance of revamping leadership development initiatives to address the intricacies of bureaucracy in the digital age.

Organizational factors influencing the growth of Canada’s scientific and research potential in the field of artificial intelligence

A comprehensive analysis of the Pan-Canadian Artificial Intelligence Strategy and its implementation measures aimed at the growth of Canada’s scientific and research potential in the field of artificial intelligence forms the foundation of this study. Canada’s selection as the subject of study is attributed to its distinction as a pioneering country to adopt a strategy of this nature, and proving its status through drafting the Artificial Intelligence and Data Act, known as AIDA. The authors have discerned and deliberated on the main organizational factors that have positioned Canada as one of the leading nations in artificial intelligence in accordance with AI country rankings. This article presents the components of the Pan-Canadian Strategy, encompassing principal tasks and areas, including the practical introduction of novel technologies due to second-phase commercialization. It outlines the key focus areas of Canada’s public policy, including research, development and retention of skilled professionals, and the creation of essential infrastructure. The article also consolidates some significant societal outcomes realized during its implementation while identifying current trends. The foundation and activities of national institutions are underscored as pivotal in fostering scientific and research potential, with special emphasis on the initiative to establish a new institute dedicated to the safety of artificial intelligence under the strong influence of AI Safety Summit at Bletchley Park. The authors identify the key participants in the artificial intelligence ecosystem who have the most influence on implementing the Strategy. The conclusions drawn from the article aid in fostering a deeper comprehension of the role played by organizational and administrative processes in propelling advancements in the field of artificial intelligence. The favorable impact on societal development is highlighted, provided risks are mitigated. Given Ukraine’s historical association with high intellectual potential, the findings of this study can be instrumental in honing the national policy pertaining to artificial intelligence in Ukraine.

Antecedents and consequences of the creative food tourism experience: Brand equity insights

This study introduces the creative food tourism experience (CFTE) idea to the fine-dining restaurant market, thereby broadening the understanding of food tourism. It examines the CFTE triggers and possible outcomes and also investigates the role of brand equity. It also incorporates staff cohesion as a personal environmental component and ties the balance theory to the brand experience theory by examining brand equity as a distinct outcome of CFTE. The results of a study conducted on 574 food tourists in authentic Egyptian fine dining establishments show that sensory and personal environment elements have a large and favourable impact on consumers’ CFTE, with restaurant atmosphere having the greatest influence. The results suggest that CFTE influences brand awareness, brand image, and perceived quality. Remarkably, brand trust moderates the relationship between perceived quality and brand loyalty but not the one between brand awareness, brand image, and brand loyalty. The study provided a significant contribution to restaurateurs.

Does circularity mean environmental sustainability? Novel evidence from European countries.

The objective of this research is to evaluate the effects of green economy initiatives (GEI) on environmental sustainability (ES) through empirical means. The degree of green economy efforts is measured using six different metrics: the percentage of circular material consumption (GEI_MA), municipal trash generation per person (GEI_MW), recycling waste performance (GEI_RW), and recycling and secondary raw materials-related patents (GEI_PA). The latter particularly comprises the biowaste (GEI_RB) and e-waste (GEI_RE) recycling shares. Our analysis, which included information gathered from 19 European nations from 2012 to 2019, shows that GEI_MW significantly improves EPI and ECO. On the other hand, there is no meaningful connection between ecological sustainability and GEI_PA. EPI is strongly positively impacted by GEI_MA and EPI and ECO are positively impacted by GEI_RW. Additionally, GEI_RB has a beneficial impact on EPI, HLT, and ECO, but GEI_RE has a considerable favorable impact on both HLT and ECO. These findings highlight how crucial it is for the government to fund R&D for green economy projects in order to achieve ecological sustainability.

Design and performance assessment of a triply-periodic-minimal-surface structures-enhanced gallium heat sink for high heat flux dissipation: A numerical study

This study numerically investigates a phase-change material heat sink using gallium and Primitive Triply Periodic Minimal Surface (TPMS) cells structure as in-fill for applications requiring high heat-flux dissipation, e.g., electronics. Initially, we used only gallium without thermal conductivity enhancers, relying solely on buoyancy-driven circulations of melted gallium for the convective cooling of a hot sink base. However, this study aims to surpass gallium’s innate heat-dissipation capability. Therefore, the sink is enhanced with a high conductivity Primitive TPMS cells structure. Hybridization of conduction and convection heat dissipation enhancements is accomplished by using only one layer of the TPMS cells installed at the hot sink base. Comparison with the full TPMS structure filling option is made. In the full TPMS structure filling option, the sink relies mainly on conduction through the TPMS structure’s body and less on natural convection. However, equipping the sink with TPMS structures reduces the overall latent heat storage capacity. Therefore, additional gallium is added to the sink to match the overall gallium content in the baseline case without TPMS structures. Furthermore, the effect of the boundary conditions applied at the wall is explored. The results show considerable improvements in heat dissipation and peak temperatures with the TPMS cells, where by the time 100 s (about 20 s post complete melting) peak temperatures are about 13 percent lower than in the case without TPMS structures. Furthermore, the full structure filling option demonstrates superior performance over the partially filled ones, highlighting the importance of conduction through TPMS cells over convection in the free gallium space. Unlike the partial filling option, conduction in the full filling option has a continuous favorable impact on heat dissipation from the onset of the heating process.

Siloxane-containing epoxy resins derived from magnolol with low dielectric properties, excellent toughness, and flame retardancy

The entanglement disorder, highly polar groups and carbon-rich structure of conventional epoxy resins result in high dielectric constants and flammability, posing challenges to the development of high-frequency communications. Therefore, a silicone-containing active ester curing agent (FMAE) derived from magnolol was synthesized via a straightforward two-step process. And a thermosetting resin (FMAE/TGDDM) was then obtained by moisture self-cross-linking as well as curing epoxy N, N, N, N-tetraethoxypropyl-4, 4-diaminodiphenylmethane (TGDDM). The epoxy resin (MAE/TGDDM) cured by MAE that was not undergoing click chemistry was used for comparison. The results showed that the large volume of curing agents (31.86 Å × 14.98 Å × 9.03 Å for FMAE, 16.01 Å × 11.46 Å × 8.09 Å for MAE) and the absence of –OH enabled both resins to have excellent dielectric properties, especially FMAE/TGDDM, with a Dk of 2.78 and a Df of 0.0066 at 10 MHz. Additionally, FMAE/TGDDM demonstrated favorable impact resistance (43.9 kJ/m2) and lower hygroscopicity (0.56%) than MAE/TGDDM, which due to the introduction of siloxane chain (Si% = 7.08%) and the increase of the crosslinking density (2302 mol/cm3 vs 6751 mol/cm3). Furthermore, the charring rate of FMAE/TGDDM was 39.1%, almost twice that of MAE/TGDDM, and the PHHR and THR were 201.2 W/g and 22.6 kJ/g, 103.9% and 67.7% lower than MAE/TGDDM, respectively, proving that the intrinsic flame retardancy of FMAE/TGDDM. Hence, this paper provides a strategy to synergistically address the limitations of TGDDM and conventional epoxy resins for impact resistance, dielectric properties and flame retardancy through a simple structural design.

Association between body shape index and coronary heart disease in individuals over 20 years old with obese

BackgroundWhile body mass index (BMI) defines obesity as a well-established risk factor for cardiovascular disease, the paradoxical theory of BMI suggests that obesity may indeed have a favorable impact on the prognosis of cardiovascular disease. Therefore, this study aims to assess the correlation between body shape index (ABSI), which is a novel measure of obesity, and coronary heart disease (CHD) among obese individuals in the United States.MethodsThe data from the National Health and Nutrition Examination Survey (NHANES) were evaluated by us for 5046 patients. We assessed the exposure variable ABSI, which includes waist circumference (WC), height, and BMI. The outcome variable was CHD.ResultsThe cross-sectional study included a total of 5046 obese adults aged over 20 years, with an average age (standard deviation: SD) of 49.86 (16.24) years and a male proportion of 44.57%.The odds ratio (OR) values for CHD in Model 1, Model 2, 3 were found to be 2.45 (95%CI: 2.12, 2.83), 1.53 (95%CI:1.30, 1.81) and 1.31 (95%CI:1.09, 1.56) per SD increase in ABSI, respectively. In the fully adjusted model, we designated participants in the T1 group as the reference group. Our findings indicate a significant increase in the prevalence of CHD (OR:1.82, 95%CI: 1.07–3.10) only within the T3 group. Although there is an increased prevalence of CHD (OR:1.32, 95%CI: 0.77–2.29) in the T2 group, no statistically significant difference was observed.ConclusionsThe increase in ABSI is strongly associated with the rise in CHD prevalence among obese individuals in the United States.

How do governance indicators, trade openness, industrialization, and population growth affect environmental degradation in BRICS Nations?

Against the backdrop of the dismal performance of BRICS nations in terms of governance, this study examines the relationship between governance indicators and carbon emissions. By employing DOLS and FMOLS cointegration techniques from 1996 to 2022, we find that effective governance helps in reducing environmental pollution. Specifically, indicators namely government effectiveness, political stability, the rule of law, voice and accountability, regulatory quality, and control of corruption show a favourable impact in mitigating carbon emissions. Additionally, our findings reveal that both foreign direct investments and trade openness contribute positively in lowering carbon emissions by introducing advanced technologies and sustainable practices. Conversely, rapid industrialization and population growth exacerbate carbon emissions due to increased reliance on fossil fuels and higher energy demand. Our study underscores the need for enhanced governance, green investments, and stringent environmental regulations to balance economic growth with environmental sustainability in BRICS nations.

Novel S-scheme β-Cu2V2O7/Ni/Pg-C3N4 heterojunction photocatalyst for sunlight-induced degradation of RhB

A novel S-scheme β-Cu2V2O7/Ni/Pg-C3N4 nanocomposite photocatalyst has been advantageously established by propelling β-Cu2V2O7 nanoparticles (NPs) on the top layer of porous graphitic carbon nitride (Pg-C3N4) nanosheets (NSs) using a facile co-precipitation approach. Implementing photoelectrochemical and physicochemical techniques, the crystallinity, purity, optical quality, morphology, chemical composition, and charge separation efficiency of the produced samples were examined. The outcomes indicate that metallic Ni and β-Cu2V2O7 NPs were perfectly encapsulated onto the Pg-C3N4 NSs and well-matched band structures between both semiconductors facilitate the creation of an S-scheme charge transfer path. The fabricated pristine and β-Cu2V2O7/Ni/Pg-C3N4 composite samples were utilized as a catalyst for the removal of rhodamine B (RhB) dye under sunlight irradiation. The β-Cu2V2O7/Ni/Pg-C3N4 nanocomposite exhibits exceptional activity within 60 min of radiation exposure (RhB- 98.56%), whereas β-Cu2V2O7 and Pg-C3N4 show reduced activity (RhB-34.4% and 45.68%). The favourable impact of S-scheme nanocomposite establishment boosted photocatalytic behavior using the intrinsic electric field among Pg-C3N4 NSs and β-Cu2V2O7 and surface plasmon resonance (SPR) effect of metallic Nickel (Ni) NPs for delivering e− and h+ pairs and prolonging the life of charge carriers. According to radical scavenging experiments •O2− is the primary reactive species followed by •OH radicals. The produced nanocomposite has the potential to be employed in large-scale photocatalytic water treatment, as evidenced by the photocatalyst's excellent efficiency and reusability after five consecutive experiments.