Level Of Performance Research Articles

Steady state stability assessment of voltage source converter in a DC microgrid under weak grid conditions

Traditionally, steady-state assessment involves analyzing numerous variables using Eigen analysis. This paper presents a decision support application for diagnosing the steady-state assessment of droop-controlled voltage source inverters in islanded microgrid operations or weak grid operations with reduced input attributes. This paper proposes an approach using feature extraction from the state space variables of the droop-controlled voltage source inverter (VSI). Photovoltaic (PV) and wind energy sources are considered with their stipulated power-delivering capability considered. To improve the generalization of the predictive model, preprocessing techniques are employed to eliminate data distortions. Dimensionality reduction is achieved through principal component analysis (PCA) applied to the steady-state variables. The evaluation of the VSI's steady-state stability is conducted utilizing support vector classification algorithm. To ascertain the reliability of the steady-state stability classification, an assessment of the support vector machine (SVM) model's performance is carried out, which includes the examination of metrics like the area under the curve (AUC) and the receiver operating characteristics (ROC) curve. The findings from the assessment of VSI's steady-state stability indicate a commendable level of performance, achieving an accuracy rate of 93.5%.

Alkanediol–hexafluoroisopropanol amphiphilic supramolecular solvent: Fabrication, characterization, and application potential for doping control of hormones and metabolic modulators in human urine

A novel amphiphilic supramolecular solvent (SUPRAS) was developed by hexafluoroisopropanol (HFIP)-induced self-assembly of 1,2-hexanediol in an aqueous matrix. Its application potential in multiclass determination was assessed by extracting from urine 10 prohibited hormones and metabolic modulators (log P from 2.38 to 7.57) listed by the World Anti-Doping Agency (WADA). This SUPRAS is stably formed across a wide pH range (2–12) and is unaffected by salt concentrations (<10 % g mL−1 of NaCl), and it has a higher density than water. The dehydration and hydrogen bonding ability of HFIP, as well as hydrophobic interactions between alkanediols, dominates the formation of the SUPRAS. The nanostructure of the SUPRAS, composed of 1,2-hexanediol, HFIP, and a high content of water (>25 %, w/w), forms large spherical micellar aggregates (10–100 μm) that exhibit amphiphilic properties. A 1,2-hexanediol-HFIP SUPRAS-based liquid-phase microextraction (LPME) method for detection of selected prohibited drugs in urine coupled with liquid chromatography–tandem mass spectrometry (LC-MS/MS) was established, optimized, and validated. The method showed fast extraction time (30 s of vortex) and low solvent consumption (160 μL of organic solvent). Under the optimal conditions (7 % g mL−1 of 1,2-hexanediol, 10 % v/v of HFIP), the SUPRAS achieved high extraction efficiencies (>80 %) and an enrichment factor of 6.0, with minimal matrix effects for all analytes due to its high amphiphilicity and large surface area. The method demonstrated excellent linearity (R ≥ 0.9909), with method limits of detection ranging from 0.018 to 0.18 ng mL−1 and method limits of quantitation ranging from 0.060 to 0.60 ng mL−1, which are well below the minimum required performance levels set by authorities. Furthermore, the intra- and inter-day relative recoveries for spiked human urine samples varied in the ranges of 90.3 %–121 % and 88.1–119 %, respectively, with relative standard deviations less than 13 % and 19 %, respectively. This SUPRAS-based LPME method proves to be simple, highly efficient, and eco-friendly, and it has promising potential for multiclass determination in doping control.

Detection and Quantification of 5moU RNA Modification from Direct RNA Sequencing Data

Background: Chemically modified therapeutic mRNAs have gained momentum recently. In addition to commonly used modifications (e.g., pseudouridine), 5moU is considered a promising substitution for uridine in therapeutic mRNAs. Accurate identification of 5-methoxyuridine (5moU) would be crucial for the study and quality control of relevant in vitro-transcribed (IVT) mRNAs. However, current methods exhibit deficiencies in providing quantitative methodologies for detecting such modification. Utilizing the capabilities of Oxford nanopore direct RNA sequencing, in this study, we present NanoML-5moU, a machine-learning framework designed specifically for the read-level detection and quantification of 5moU modification for IVT data. Materials and Methods: Nanopore direct RNA sequencing data from both 5moU-modified and unmodified control samples were collected. Subsequently, a comprehensive analysis and modeling of signal event characteristics (mean, median current intensities, standard deviations, and dwell times) were performed. Furthermore, classical machine learning algorithms, notably the Support Vector Machine (SVM), Random Forest (RF), and XGBoost were employed to discern 5moU modifications within NNUNN (where N represents A, C, U, or G) 5-mers. Result: Notably, the signal event attributes pertaining to each constituent base of the NNUNN 5- mers, in conjunction with the utilization of the XGBoost algorithm, exhibited remarkable performance levels (with a maximum AUROC of 0.9567 in the "AGTTC" reference 5-mer dataset and a minimum AUROC of 0.8113 in the "TGTGC" reference 5-mer dataset). This accomplishment markedly exceeded the efficacy of the prevailing background error comparison model (ELIGOs AUC 0.751 for sitelevel prediction). The model's performance was further validated through a series of curated datasets, which featured customized modification ratios designed to emulate broader data patterns, demonstrating its general applicability in quality control of IVT mRNA vaccines. The NanoML-5moU framework is publicly available on GitHub (https://github.com/JiayiLi21/NanoML-5moU). Conclusion: NanoML-5moU enables accurate read-level profiling of 5moU modification with nanopore direct RNA-sequencing, which is a powerful tool specialized in unveiling signal patterns in in vitro-transcribed (IVT) mRNAs.

Assessment of RC Frame Structure under Different Seismic Condition

Abstract: Structures in seismic zones are especially prone to collapse during significant ground motion occurrences. This susceptibility is sometimes linked to flaws in seismic design principles, notably in the selection of suitable structural systems. Equivalent static analysis, which is often employed in seismic design, may not accurately account for the structure's strength and stiffness. As a result, ground floor columns may become highly reinforced, thereby lowering ductility, and causing poor performance. This thesis offers a parametric study of an RC frame structure developed for various seismic zones. The finite element software is used to model the structure to investigate performance levels. Pushover analysis was performed to determine the structure's seismic capacity and behavior under various seismic conditions. Parametric research employing RC Frames with demand variation was done to investigate the structure's behavior in different seismicity zones across the country

Extrinsic and Intrinsic Motivation and Academic Performance of Pupils at Quezon District Public Elementary Schools

The study aimed to determine the relationship of extrinsic and intrinsic motivations to the academic performance of pupils at Quezon District Elementary Schools. Descriptive-Correlation method of research was used and was conducted at Quezon District, Division of Baguio City, SY 2017-2018. The results showed that the level of effectiveness of extrinsic motivations at Quezon District Public Elementary Schools was effective. The level of effectiveness of intrinsic motivations at Quezon District Elementary Schools was slightly effective. The level of academic performance of pupils at Quezon District Public Elementary Schools is good using extrinsic and intrinsic motivations. The academic performance of pupils and extrinsic motivations indicating of strong or high relationship. While the academic performance of pupils and intrinsic motivations indicating of weak or small relationship. Implementing the extrinsic motivations are highly recommended since this is more effective specifically using reward/token to motivate the pupils, example is adding points for their exam.

Effects on Function and Enjoyment of Aquatic Therapy in Children with Cerebral Palsy: A Pilot Study in a Special Education School

ABSTRACT Cerebral palsy (CP) is a disorder of movement and posture resulting from a non-progressive injury to the developing brain. The aim of the study was to determine the functional level of performance in water and enjoyment of children with CP, after participating in aquatic therapy classes. Nine children diagnosed with CP were involved in an eight-month aquatic program based on the Halliwick concept and provided as a part of a special school education program. The outcome measurements were the Water Orientation Test Alyn (WOTA 1) and an original enjoyment questionnaire. The data showed a statistically significant improvement in six out of 13 trials of WOTA 1. The children described aquatic therapy as joyful, easy, and their favourite form of physical activity among those offered by the school. The results suggest that aquatic therapy classes can be effectively used among children with CP to improve body position control and mental adjustment in the water.

Utilization of Language Strategies in Teaching Grade 10 Mathematics of Narvacan National Central High School

This study aimed to evaluate the utilization of Language Strategies in teaching Grade 10 Mathematics at Narvacan National Central High School during the 4th quarter of the SY 2022-2023. Specifically, it focused on the profile of the students, their level of performance in language strategies, and their mathematics performance. It further determined the relationship between the students’ profile and the level of performance in language strategies, the students’ profile and their level of participation, the students’ performance in language strategies and their mathematics performance, and the problem encountered by the teachers in teaching mathematics using language strategies. This study used a quantitative research approach employing the correlational research design. The research design is a combined description, evaluative and correlational design. This study made use of a questionnaire consisting of two parts, the performance of the students when using language strategies and the 4th quarter grades of the learners in Mathematics. Hence, it is recommended students will participate in every activity or discussion related to the different language strategies. The performance of the students may be improved by sustaining the utilization of Language Strategies in Teaching Mathematics. Teachers and school heads are encouraged to innovate programs or activities that address issues related to low comprehension and low retention of students.

Neutronic Analysis of Accident-Tolerant Cladding Materials in 3D Full Core BEAVRS PWR Benchmark Using OpenMC Code

After the Fukushima Daiichi nuclear accident in 2011, the performance of nuclear fuel during accidents became a matter of great concern. To address this, a new type of fuel technology called accident-tolerant fuel (ATF) has been developed with the goal of enhancing the ability of light water reactors (LWRs) to withstand severe accident conditions. Iron-based alloys have been suggested as potential candidates for fuel cladding due to their favourable thermomechanical properties, lower reactivity with steam, and lower hydrogen generation. This study evaluates the neutronic performance of C26M (a 2nd generation nuclear grade FeCrAl alloy), APMT™, 310SS, and 304SS cladding materials by comparing them with Zircaloy-4 cladding in a 3D PWR core at the beginning of the cycle (BOC) using OpenMC code. The results revealed that the neutronic penalty varied for different alternative cladding materials where C26M exhibited the lowest neutronic penalty value of -12551 pcm, while 310SS demonstrated the highest with a value of -17855 pcm. Additionally, important parameters in the reactor core such as neutron spectrum, reactivity coefficients, boron worth, control rod bank worth, power distribution, and radial thermal neutron flux distribution are evaluated and discussed. The analysis results showed that C26M provided a significantly higher level of neutronic performance compared to APMT™, 304SS, and 310SS. Although this study primarily focused on the neutronic performance of PWRs at BOC, future research should encompass fuel depletion analysis to delve deeper into the potential of alternative cladding materials.

Melodic diversity in Iraqi rural singing

Melodic diversity is an essential pillar in Iraqi country singing because of its highly influential qualities and features in singing performance methods in a manner consistent with the nature and setting of popular heritage in the Iraqi countryside.Hence, the researcher attempts to study melodic diversity in one of the important lyrical phases, which is "Subbi Mood " as a lyrical style discovered by the Iraqi structure with high levels of expressive performance accuracy.The researcher seeks to study this topic by formulating the question as follows: What are the mechanisms of melodic diversity in Subbi Mood? The significance of the research and the need to determine its goal are thus represented as follows: Detecting the mechanisms of melodic diversity in Subbi Mood, the researcher presents the most important terms contained in the subject matter of the study, that is melodic diversity to be determined linguistically, philosophically and terminologically. The researcher then moves to define the terms procedurally in accordance with the research procedures. Chapter Two, entitled “The Theoretical framework” contains two sections, one entitling, “The Concept of Melodic Diversity,” and the other, “The Singing of the Iraqi countryside: A Study in Origin and Evolution,” all the way to topics that involve the literature review and the most key conclusions resulted from the theoretical framework.As for Chapter Three, the researcher addresses the research community and its sample in a way that meets the goal of the research and its requirements, not to mention the use of the research methodology represented by the descriptive analytical approach, leading to the research tool through which the researcher can analyze the research sample.In Chapter Four, the researcher reached the most important findings from the sample analysis, including (1) musical scale: The Subbi mood is built from the melodic scale of Nahawand, which raises the sixth scale degree of the natural Nahawand when ascending and returns it to the standard scale of the Nahawand when descending, (2) melodic range of the seventh is built from the seventh minor scale. The researcher then seeks to interpret the findings under the heading, “Conclusions,” that includes some of the following points:1) The lyric poem takes Subbi mood as a launch pad to express the the spirit of the country environment.2) The seventh minor scale gives the singer the ability to perform Subbi mood easily and conveniently. As the end of the Chapter, the researcher comes up with key recommendations, suggestions and most important sources and books cited by the researcher in this study.

The Mathematics Performance and the Track Preference of Grade 10 Students

This research paper focused on investigating the mathematical performance of grade 10 students and its role in determining their Senior High School (SHS) track/strand. The aim of the study is to explore the attitudes, beliefs, and opinions of the students towards mathematics and how it influences their decision-making process in choosing their SHS track/strand. Additionally, the study aims to examine the factors that affect students' performance in mathematics in relation to their chosen SHS track/strand. The research design utilized in this study is a survey questionnaire, which was administered to grade 10 students at Narvacan National Central High School. The participants of the study are primarily grade 10 students, with a majority being 16 years old. There are more female respondents than male, and a significant percentage of the respondents' parents have blue-collar jobs. Additionally, most of the parents are college graduates. The findings of the study indicate that the level of mathematics performance among grade 10 students at Narvacan National Central High School is considered "Fair." Furthermore, the students' preferred track for SHS is Humanities and Social Sciences (HUMSS). The study also reveals a significant relationship between mathematics performance and the profile of the respondents. Additionally, there is a significant relationship between mathematics performance and STEM, HUMSS, and TVL track/strands. However, there is no relationship between mathematics performance and the preferred strand of students who chose ABM. The implications of this research highlight the importance of mathematics in the decision-making process of students when choosing their SHS track/strand.

Factors influencing the level of performance of patient safety nursing activities among hospital nurses

Factors influencing the level of performance of patient safety nursing activities among hospital nurses

Comparing the Diagnostic Performance of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and Radiologists in Challenging Neuroradiology Cases.

To compare the diagnostic performance among Generative Pre-trained Transformer (GPT)-4-based ChatGPT, GPT‑4 with vision (GPT-4V) based ChatGPT, and radiologists in challenging neuroradiology cases. We collected 32consecutive "Freiburg Neuropathology Case Conference" cases from the journal Clinical Neuroradiology between March 2016 and December 2023. We input the medical history and imaging findings into GPT-4-based ChatGPT and the medical history and images into GPT-4V-based ChatGPT, then both generated adiagnosis for each case. Six radiologists (three radiology residents and three board-certified radiologists) independently reviewed all cases and provided diagnoses. ChatGPT and radiologists' diagnostic accuracy rates were evaluated based on the published ground truth. Chi-square tests were performed to compare the diagnostic accuracy of GPT-4-based ChatGPT, GPT-4V-based ChatGPT, and radiologists. GPT‑4 and GPT-4V-based ChatGPTs achieved accuracy rates of 22% (7/32) and 16% (5/32), respectively. Radiologists achieved the following accuracy rates: three radiology residents 28% (9/32), 31% (10/32), and 28% (9/32); and three board-certified radiologists 38% (12/32), 47% (15/32), and 44% (14/32). GPT-4-based ChatGPT's diagnostic accuracy was lower than each radiologist, although not significantly (all p > 0.07). GPT-4V-based ChatGPT's diagnostic accuracy was also lower than each radiologist and significantly lower than two board-certified radiologists (p = 0.02 and 0.03) (not significant for radiology residents and one board-certified radiologist [all p > 0.09]). While GPT-4-based ChatGPT demonstrated relatively higher diagnostic performance than GPT-4V-based ChatGPT, the diagnostic performance of GPT‑4 and GPT-4V-based ChatGPTs did not reach the performance level of either radiology residents or board-certified radiologists in challenging neuroradiology cases.

Setting a shared development agenda: prioritizing the sustainable development goals in the Dominican Republic with fuzzy-LMAW.

The sustainable development goals (SDGs) were established by the United Nations as an international call to eradicate poverty, safeguard the environment, and guarantee that everyone lives in peace and prosperity by 2030. The SDGs aim to balance growth and sustainability in three dimensions: social, economic and environmental. However, in the post-pandemic era, when resources for public development policies are scarce, nations face the problem of prioritizing which SDGs to pursue. A lack of agreement is one of the determinants of low performance levels of the SDGs, and multicriteria decision analysis tools can help in this task, which is especially relevant in developing countries that are falling behind in achieving the SDGs. To test the feasibility and appropriateness of one of these tools, the Fuzzy Logarithm Methodology of Additive Weights, we apply it to prioritize the SDGs in the Dominican Republic, to see if the priorities established are consistent. Seventeen experts were surveyed, and the main result was that Decent work and economic growth was the most important goal for the country. Our findings, consistent with the literature, show the path to similar applications in other developing countries to enhance performance levels in the achievement of the SDGs.

Adapting to climate change in a spiny lobster (Jasus edwardsii) fishery: A harvest strategy response

The complex lifecycle of spiny lobsters makes the species particularly vulnerable to the impacts of climate change. In south-eastern Australia, a regime shift in productivity was experienced during the late 1990s with evidence indicating that increased water temperatures had impacted on female size-of-maturity. Within the Southern Zone fishery of South Australia, this translated into low levels of egg production and sub-optimal fishery performance. In 2018, the harvest strategy for the fishery was reviewed with the primary focus of achieving a target percentage of unexploited egg production (%UEP) within an agreed timeframe. The proposed harvest strategy was based on a tabular harvest control rule, where catch per unit effort (CPUE) from the preceding season, as an indicator of lobster abundance, specified the following year’s total allowable commercial catch (TACC). To account for climate change impacts, the harvest strategy was assessed using a projection model where recruitment was sampled from post-regime shift years, thereby adopting a conservative approach to stock rebuilding. Results were assessed against projected trends in catch, CPUE and %UEP. In 2020, this harvest control rule was formally adopted and is now used in annual TACC setting. Observed values for key indicators have been closely aligned with projected estimates, with %UEP estimates approaching the target reference point. Specifically, %UEP has improved from 10% to 15% with the target projected to be achieved by the late 2020 s. Projections are sensitive to recruitment however, with a 21% lower recruitment scenario failing to reach target levels, thereby reinforcing the need to account for climate change impacts in harvest strategy testing.

Children performance evaluation rubric in Greek dance. Reliability of scores

ABSTRACT The analytic rubric, consisting of eight criteria (dance identification, response to the rhythm of the dance, synchronization, step sequence, direction-schema and type of hand holding of the dance, body stance and position, quality characteristics of the movement, and expressiveness) and five performance levels for each (excellent, very good, moderate acceptable, marginally acceptable, not acceptable), aims at objectively and consistently illustrating the way in which one is dancing, regardless of who evaluates it (Pitsi, Digellidis and Philippou 2013). The purpose of the study was to examine the reliability of the dance performance rubric in students aged 10–12 years. Consequently, thirty-six students, in grades 5 and 6 of primary school, with an average 4-year experience at Greek dances, were examined in their ability to identify three Greek dances from their music, to respond to the rhythm of the dance with hand clapping and perform the kinetic form of each dance. The students were videotaped during the performance of the dances and evaluated through their videotaped performances. A re-evaluation was carried out two weeks after the first one so the possibility of repeating the evaluation by memory would be excluded. The raters were two dance experts with great experience. The findings are encouraging as to the reliability of the use of this rubric. The rubric, therefore, will enable dance teachers to get feedback to better design future learning experiences for maximum benefit to their students.

Adequacy, Utilization of Laboratory Equipment and Performance of Junior High School Science Teachers

This research aimed to determine the relationship between laboratory equipment adequacy and utilization, and the performance levels of Science teachers in Malapatan Municipality. A descriptive quantitative approach was employed, utilizing surveys and observations to collect the data from 13 teachers across three districts, Malapatan Districts 1, 2 and 3. The study revealed that most teachers have Master of Arts in Education degrees in Science, a significant portion lacks in-service training, potentially limiting their effectiveness in using laboratory resources and teaching methods. The deficiency in Biology, Chemistry, Earth Science, and Physics equipment hinders Grade 9 Science teachers' ability to conduct hands-on experiments and practical demonstration crucial for teaching these subjects. Classifying skill shows high extent in utilizing the laboratory equipment while Observing, Inferencing, Experimenting, Predicting, Communicating, and General Questions require improvement. In terms of teaching performance, teachers excel in Physics but need improvement in Earth Science, Chemistry, and Biology. The weak positive correlation between equipment adequacy and teacher performance needs to be improved, indicating that additional factors such as teacher skills and resource availability play significant roles. The researcher developed a comprehensive and effective professional training program for science teachers to effectively utilize laboratory equipment and incorporate science process skills into teaching methods.

Effectiveness of Mindfulness-Based Interventions in Enhancing Sports Performance

Purpose: The aim of the study was to assess the effectiveness of mindfulness-based interventions in enhancing sports performance. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study found that mindfulness-based interventions (MBIs) hold promise in enhancing sports performance across various disciplines. The study indicate that athletes who engage in mindfulness practices experience improvements in attentional control, emotional regulation, and stress management, all of which are critical for optimal athletic performance. By cultivating present-moment awareness and fostering a non-judgmental attitude toward thoughts and sensations, athletes can better focus on the task at hand, manage competitive pressure, and maintain peak performance under stressful conditions. Furthermore, MBIs have been shown to facilitate skill acquisition and execution, as well as promote recovery and injury rehabilitation. Overall, these findings highlight the potential of incorporating mindfulness training into sports training programs to enhance athletes' mental resilience and overall performance. However, further research is needed to elucidate the specific mechanisms through which mindfulness exerts its effects on sports performance and to optimize the integration of MBIs into athletic training regimens. Implications to Theory, Practice and Policy: Self-determination theory, cognitive-behavioral theory and flow theory may be used to anchor future studies on assessing effectiveness of mindfulness-based interventions in enhancing sports performance. Develop evidence-based mindfulness training programs tailored specifically for athletes across different sports disciplines and performance levels. Advocate for the integration of mindfulness training into athlete development programs at the grassroots, elite, and professional levels.

Assessing Service Quality and Passenger Satisfaction: A Quantitative Study of Sea Transportation on the Padang Mentawai

Sea transportation is a vital component of the transportation network, with the Ship Sabuk Nusantara 68 serving as a key sea transport vessel under the Indonesian National Shipping Limited Liability Company (PT) (PELNI). Operating between Padang City and Mentawai Island, this passenger ship plays a crucial role in connecting these destinations. However, despite its importance, complaints regarding the quality of sea transportation services, particularly on the KMP Sabuk Nusantara 68 route between Padang and Mentawai, have been voiced by passengers.In response to these concerns, this research was conducted to assess the levels of service quality and passenger satisfaction. The study aimed to identify priority factors for enhancing service performance and passenger satisfaction. Employing a quantitative method, researchers utilized questionnaires as research instruments, with data analyzed using the Likert scale and the Important and Performance Analysis (IPA) methodology.The findings revealed that overall service quality was satisfactory, with passenger satisfaction levels reaching 89.12%. However, further improvements are still needed, particularly in areas such as ship cleanliness, which emerged as a critical aspect requiring immediate enhancement. Therefore, while passengers are generally content with the services provided, there is still room for improvement to ensure a consistently high level of service performance and passenger satisfaction.

How Enterprises Achieve Frugal Innovation: A Configurational Study Based on the Model of Organizational Symbiosis

Frugal innovation offers cost-effective, demand-driven products for consumers in emerging markets. By leveraging this approach, enterprises can capitalize on opportunities, boost profits, and nurture beneficial consumer relationships. This study uses the transaction cost theory to explore how symbiotic relationships within environmental turbulence influence frugal innovation. The goal is to unravel the interconnected factors that drive high-performance frugal innovation, providing enterprises with a roadmap for seizing opportunities, enhancing profitability, and cultivating enduring consumer relationships. Data from 218 Chinese enterprises were collected through a survey and analyzed using fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Condition Analysis (NCA) methods. The research findings indicate that factors such as market dynamics, technological dynamics, collaboration with suppliers and customers, relationship governance, contract governance, and inter-organizational trust are not necessary prerequisites for high frugal innovation performance. Instead, the synergy among these factors is imperative for reaching elevated levels of frugal innovation performance. Furthermore, three distinct pathways to heightened frugal innovation performance were identified: a dual-drive mechanism involving membership relationships and governance mechanisms, a membership-driven approach in dynamic technological conditions, and a governance mechanism-driven approach in dynamic market conditions. This study offers valuable theoretical and practical insights for enterprises pursuing frugal innovation in turbulent environments, guiding them towards sustained growth and competitive advantages in new markets.

The role of team cohesion and ambidexterity in enhancing employee adaptive performance: an examination of a multilevel model

PurposeDrawing on social learning theory, the purpose of this study is to examine the relationship between team cohesion and employee adaptive performance directly and through employee ambidexterity. The study also investigates the moderating role of team empowerment climate in the relationship between team cohesion and employee adaptive performance.Design/methodology/approachTime-lagged data were collected in two waves from a sample of 212 employees from 43 teams working in software houses in Pakistan. R (lavaan package) was used to analyze the multilevel framework.FindingsThe findings reveal that both team cohesion and employee ambidexterity positively relate to employee adaptive performance. Moreover, employee ambidexterity mediates the cross-level relationship between team cohesion and employee adaptive performance. The results also support that team empowerment climate (a contextual boundary condition) moderates the direct relationship between team cohesion and employee adaptive performance.Originality/valueThe primary novelty of this study lies in developing and examining a holistic conceptual framework for a multilevel model in the software industry that incorporates team cohesion (level 2) as an antecedent, employee ambidexterity (level 1) as an underlying mechanism, employee adaptive performance (level 1) as an outcome and team empowerment climate as a boundary condition (level 2).