Dimensions Of Performance Research Articles

Term limits and accountability incentives to perform: performative signalling of local governmental action

ABSTRACT Research exploring term-limits’ influence on politicians’ behaviour has mainly focused on financial measures of government performance. However, other dimensions of performance which can be used by politicians to claim credit and boost their political careers have seldom been explored in this research agenda. Leveraging the lift of the reelection ban for Mexican mayors after 2014, we study the electoral incentives of term limits on local government performance. We use a difference-in-difference design and compare first-term mayors, thus discarding alternative mechanisms such as differences in competence due to longer tenure. Municipalities where reelection is allowed report more municipal council meetings. Yet, term limits fail to affect the initiatives presented per meeting, administrative procedures on behalf of citizens, nor water provision. Thus, while term limits affect performance incentives for local politicians via accountability and electoral incentives, these focus on more visible and performative actions that serve as inexpensive signals of governmental activity.

The Mediating Effect of Innovative Performance on the Relationship Between the Use of Information Technology and Organizational Agility in SMEs

The current study has four main objectives. First, it aims to investigate the effect of the relationship between information technology (IT) dimensions (customer relationship management, knowledge management, and human resource management) and innovative practices on organizational agility in small and medium-size companies (SMEs). Second, it seeks to measure the relationship between IT components and innovative performance. Third, it examines the impact of innovative performance on organizational agility. Fourth it explores the mediating role of innovative performance in the relationship between IT and organizational agility. These objectives provide a clear roadmap for the research and guide the analysis and interpretation of the findings. This paper’s statistical population was composed of senior managers in SMEs in Khorsaran Razavi, Iran. The data were collected using standard questionnaires, 172 which were received in 2023 and analyzed using SPSS version 25 and SmartPLS version 4 software. The results demonstrate that using customer relationships, human resources, and knowledge management as three dimensions of IT and innovative performance can enhance organizational agility. Moreover, innovative performance plays a crucial role as a mediator, strengthening the impact of information IT dimensions on organizational agility. These findings underscore the practical relevance for companies operating in a dynamic economic environment. Special attention to organizational agility and practical factors will increase flexibility, speed of response, etc., and, ultimately, companies’ success in this tense economic environment. The innovation of this research is that the three dimensions of IT, including evaluating customer relationship management, human resource management, and knowledge management, is a growing research field in organizational agility. Therefore, this research is vital in empowering SMEs to increase agility. By evaluating the effect of the four variables of knowledge management, customer relationship management, human resource management, and innovative performance on organizational agility in SMEs, on the one hand, this research expands the theoretical literature and, on the other hand, helps such companies.

Digital transformation, environmental regulation and enterprises' ESG performance: Evidence from China

AbstractCompany's digital transformation and Environmental, social, and governance (ESG) performance are crucial for their development, but there is little literature that considers whether and how digital transformation improve ESG performance, the impact of environmental regulations is also easily overlooked, we attempt to fill this gap. Based on data related to Chinese listed enterprises from 2011 to 2020, we focus on the internal digital transformation of enterprises, analyze and empirically test the direct and mediating influence of digital transformation on enterprises' ESG performance, as well as the moderating effect of external environmental regulations. The results show that digital transformation improves ESG performance. Heterogeneity analysis found that digital transformation had different impacts on different dimensions of enterprise ESG performance. Further analysis indicates that enterprises' green innovation and labor demand play a mediating role in the relationship between enterprises' digital transformation and ESG performance. Regional formal environmental regulation and informal environmental regulation moderates the path of firms' digital transformation promoting green innovation level to enhance ESG performance. This paper provides micro evidence in China for exploring the improvement of enterprises' ESG performance and provides relevant ideas for understanding the effect of digital transformation.

Lack of sex-specific differences in the associations between the dimensions of great vessels and exercise performance in amateur cyclists.

Endurance training enhances exercise capacity and triggers cardiovascular adaptations in both males and females. We investigated the relationship between the dimensions of great vessels and exercise capacity in amateur cyclists while considering sex differences. Using resting transthoracic echocardiography, we measured the dimensions of the main pulmonary artery (PA), aorta, and inferior vena cava (IVC) in 190 participants, who subsequently underwent a cardiopulmonary exercise test (CPET) until exhaustion. The mean age of study participants was 30 years. Males (71%) exhibited a larger aortic annulus (approximately 3.5 mm, p<0.0001) and PA diameter (2.4 mm, p<0.0001) than females. No significant sex differences were found in expiratory or inspiratory IVC diameters. Males achieved greater peak exercise capacity, including workload, O2 consumption (VO2), and O2 pulse. Aortic and PA dimensions showed strong correlations with energy expenditure, workload, VO2, and O2 pulse. However, these correlations weakened when analyzed separately by sex. Multivariate linear regression revealed associations between CPET results, vessels size, and sex, with sex differences observed only in the intercepts-not in interactions between sex and vessels size. Despite males having better CPET results and larger vessels, the relationships between peak exercise capacity parameters and vessel dimensions were similar in both sexes. Larger vessel dimensions (of the aorta, PA, and IVC) were associated with greater peak exercise capacity in amateur cyclists, with no significant sex differences in these associations.

The Effects of International Orientation on the Dimensions of the Environmental Performance of Agri‐Food Companies: A Chilean Perspective

ABSTRACTLike other Latin American economies, Chile has significantly increased its presence in international agriculture markets. Agricultural commodities are primarily developed within specialized exporters or multinational enterprises and exported to several different countries. In Chile, the fruit sector accounts for almost half of total exports. Internationally oriented companies explore business opportunities in foreign markets and invest adequate resources in international operations. In addition, more internationally oriented companies could be more inclined to invest in green practices due to external pressures and, consequently, achieve higher environmental performance. In this context, environmental performance is related to the extent to which available natural resources are protected during the production, delivery, and consumption of agricultural products. To the best of our knowledge, there is scattered evidence of the relationship between international orientation and the environmental performance of agri‐food companies, especially in Latin America. Grounded on the natural resources‐based view theory, this study assessed the effects of environmental collaboration on five dimensions of environmental performance (greenhouse gas emissions, energy efficiency, food loss and waste, food quality and safety, and water footprint management) in agri‐food companies with a survey with Chilean firms. Data were analyzed using the partial least square—structural equation modeling. We found that international orientation positively influences all five dimensions of environmental performance. Our study identified that the dimension most impacted by international orientation is water footprint management, and the least impacted is food quality and safety. With the aid of multi‐group analysis, we concluded that there are no significant differences in these relationships between micro/small and medium/large companies. A significant difference was observed in food loss and waste between fruit and nonfruit producers. We expect the outcomes of this study will support exporting‐related decisions and public policies in Latin America.

Exploring the Role of AI in Automating Content Marketing: Unlocking Opportunities and Navigating Challenges

As artificial intelligence (AI) continues to evolve, it has significantly influenced the field of content marketing, offering new opportunities for automation. This research explores how AI is transforming content marketing by automating processes such as content creation, curation, personalization, and distribution. AI-driven tools like Natural Language Processing (NLP) and machine learning algorithms enable marketers to generate large-scale content, analyze audience preferences, and deliver tailored messages with unprecedented efficiency. The study aims to examine the benefits of AI in content marketing, including improved productivity, cost-efficiency, and enhanced targeting capabilities. At the same time, it addresses critical challenges, such as balancing automation with creativity, maintaining content authenticity, and mitigating the risks of algorithmic bias. Additionally, the research delves into the ethical considerations surrounding AI in content marketing, particularly with respect to data privacy and transparency in AI-generated content. By analyzing case studies and industry trends, this research provides insights into how businesses can effectively leverage AI for content marketing while overcoming the inherent challenges. Ultimately, it offers a comprehensive understanding of how AI can be harnessed to enhance marketing efforts in the digital age while maintaining a human touch and ethical standards. In addition to examining the operational and ethical dimensions, this research also investigates how AI is reshaping the role of marketers. As AI automates routine tasks such as keyword optimization, content scheduling, and performance tracking, marketers are free to focus on more strategic, creative, and high-value activities. However, this shift raises questions about the evolving skill sets required for marketers in an AI-driven landscape. The study explores how AI can complement human creativity rather than replace it, emphasizing the need for marketers to adapt to new tools while maintaining a strong foundation in storytelling, branding, and customer engagement. By highlighting both the technological and human aspects of AI integration, this research provides a balanced perspective on the future of content marketing in an increasingly automated world.

Investigation of SHGS Credit Linkage Program Performance: A Comparative Assessment

SHGs have become instrumental in promoting financial inclusion and socio-economic empowerment among marginalized communities. This research employs a comparative assessment framework to evaluate the effectiveness of various credit linkage initiatives across Mysore and Chamarajanagr, highlighting key performance dimensions such as accessibility, repayment rates, impact on income, and group sustainability.

Triple-A supply chains: unveiling the mediating power of collaboration and innovation on operational performance

Triple-A (agile, adaptable, and aligned) Supply Chain (SC) has been analyzed as a source of competitive advantage, but the influence of mediating variables in this relationship remains underexplored. This research seeks to advance the Triple-A SC framework by considering and testing the mediating effects of SC collaboration and innovation levels on the Triple-A SC–operational performance (efficiency and responsiveness) relationship. The research model was tested with PLS-SEM using a sample of 277 Spanish manufacturing firms with a minimum of 50 employees from 14 different sectors. The results show that SC collaboration and innovation levels significantly mediate relationships between Triple-A SC and operational performance. Additionally, collaboration level plays a more important role in responsiveness than efficiency, while innovation level has similar effects on both performance dimensions. This work contributes to knowledge on the impact of Triple-A SC on operational performance and alerts managers to the need to strengthen their levels of collaboration with SC partners and innovation over their main competitors.

Performance Mindfulness: Integrating ACT Matrix, Imagery and Mindfulness for Performance Enhancement

Mindfulness, imagery, and acceptance-based interventions have been widely applied within the sport and performance psychology domain. This paper presents a novel imagery method termed ‘Performance Mindfulness,’ which synthesizes insights from the Acceptance and Commitment Therapy (ACT) Matrix tool, the Physical, Environmental, Task, Timing, Learning, Emotion, Perspective (PETTLEP) imagery method, and principles of mindfulness. As existing imagery techniques are limited in effectively capturing the motivational and emotional dimensions of athletic performance, this integrated approach introduces a well-conceptualized, evidence-based framework rooted in Contextual Behavioral Science. This framework translates insights from the ACT Matrix into a practical tool within the imagery process and integrates principles of mindfulness to enhance the effectiveness of imagery. Performance Mindfulness is tailored for sport psychology practitioners who seek to incorporate acceptance and mindfulness principles into the mental preparation of athletes at various levels. The paper provides a detailed explanation of the technique, including concrete examples, and discusses its advantages and disadvantages comprehensively.

Analysis of Enterprise Internet of Things Maturity Models: A Review

Maturity models are valuable tools when assessing the readiness and progress of technology incorporation in organizations, providing information for decision-making, resource allocation, and competitive advantage. The Internet of Things is a technology paradigm of global importance, especially for organizations, as it supports productivity improvements, real-time analysis, and customer satisfaction. Therefore, adopting and implementing this technology in enterprises brings several challenges, such as technological, organizational, security, and maturity issues. However, secondary studies that systematically compile the existing literature on these specific mechanisms for the enterprise domain are still being determined. This article aims to address this knowledge gap by conducting a review to deepen and synthesize the existing knowledge. This research followed established methodologies and protocols to synthesize and analyze the state of the art in the area; 489 documents were retrieved from seven bibliographic databases, and, applying inclusion and exclusion criteria, 36 primary studies were selected. The results indicate that the typical structures of maturity models incorporate technological, organizational, human, performance, and security dimensions through graded levels that denote the sophistication of the Internet of Things. Measurement techniques and metrics vary from model to model. There are few empirical validations or standardized improvement frameworks. The main conclusion is that there is a diversity of models, dimensions, indicators, and methods and a need for more comprehensive, adaptable, and user-friendly tools to help companies assess their Internet of Things maturity and inform future development strategies.

Does empowering leadership behavior affect employee performance? The mediating role of workforce agility

PurposeWorkforce agility (WFA) is an emergent research topic in volatile times. However, there is a lack of research in understanding the leadership dimension that triggers such an attribute in organizations. Our study aims to understand the impact of workforce agility on empowering leadership behavior and employee performance dimensions (task performance, contextual performance and counterproductive work behavior).Design/methodology/approachWe collected data from 236 employees using reliable, validated scales and conducted various statistical analyses.FindingsOur results demonstrated that WFA (1) partially mediated the relationship between empowering leadership and contextual performance (CP), (2) has not mediated the relationship between empowering leadership and counterproductive behavior (CWB) and (3) mediated the relationship between empowering leadership and task performance (TP).Practical implicationsOur research has practical implications for management practitioners. It suggests hiring and developing an agile workforce through appropriate training and development programs can significantly impact organizational performance. Furthermore, it provides insights into building leadership capabilities that sustain workforce agility practices, empowering leaders to make informed decisions.Originality/valueOur research fills a significant gap in the existing literature by exploring the effects of WFA on leadership and performance. This novel approach provides a fresh perspective on the dynamics of organizational behavior, making it a valuable addition to the field.

Examining the triple impact of eco-intellectual capital on the financial, social and environmental sustainability performance of SMEs in emerging economies

The way business has been conducted in modern times has traversed the need to achieve financial gains. Globally, it has become imperative for organisations to thrive competitively on the basis of ecologically conciousness and sustainability. Hence, the primary aim of this investigation is to determine how Eco-Intellectual Capital (EIC) influences the sustainability performance of small and medium enterprises (SMEs). The study made use of primary data and employed a quantitative research approach using a survey for data collection. The main data collection instrument used was a structured questionnaire. Data for the study were solicited from a group of 500 employees and owners managing SMEs in Ghana. Data collected from the questionnaires were analysed using IBM SPSS Statistics version 24 and IBM SPSS AMOS (26.0) Graphics. The results showed that EIC had a favourable effect on the social and environmental dimensions of sustainability performance. On the economic (financial) dimension, however, the effect was not significant. Aside from magnifying Eco-Intellectual Capital and Sustainability Performance literature, this research study is one of the few that looks at how green human, structural and relational capital work together to improve the economic, social and environmental sustainability of SMEs in emerging economies.

A head‐to‐head comparison of situational judgment tests and assessment centers for measuring and predicting the same performance dimensions

AbstractTo date, a limited set of studies have compared the criterion‐related validity of low‐fidelity (SJT) versus high‐fidelity (AC) simulations for predicting job performance. Unfortunately, these studies validated these simulations through the overall assessment rating (OAR) instead of on the basis of specific dimensions. Given SJTs and ACs were compared that measured different dimensions, our understanding of the relative and comparative validity of these assessment approaches in measuring the same set of dimensions is still limited. Therefore, this study aims to conduct a head‐to‐head comparison of the criterion‐related validity of the AC and the SJT (and their incremental validity) while keeping the performance dimensions under investigation constant. Data were collected from 406 applicants for supervisory and management positions in a large Iranian steel industry company. In this process, a general mental ability test, a personality inventory, an SJT, and an AC were used as predictors, and supervisory ratings of job performance dimensions (Thinking, Feeling, and Power) served as criteria. The AC had relatively high validity for all three dimensions, whereas the SJT had a similar validity only for the Thinking dimension. So, the SJT was significantly weaker in assessing the Feeling and Power dimensions. These results were confirmed by incremental validity analyses. Overall, this study shows that understanding the relationships between predictor and criterion dimensions plays a critical role in developing valid selection systems.

Rapid QC-MS: Interactive Dashboard for Synchronous Mass Spectrometry Data Acquisition Quality Control.

Consistently collecting high-quality liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) data is a time-consuming hurdle for untargeted workflows. Analytical controls such as internal and biological standards are commonly included in high-throughput workflows, helping researchers recognize low-integrity specimens regardless of their biological source. However, evaluating these standards as data are collected has remained a considerable bottleneck─in both person-hours and accuracy. Here we present Rapid QC-MS, an automated, interactive dashboard for assessing LC-MS/MS data quality. Minutes after a new data file is written, a browser-viewable dashboard is updated with quality control results spanning multiple performance dimensions such as instrument sensitivity, in-run retention time shifts, and mass accuracy drift. Rapid QC-MS provides interactive visualizations that help users recognize acute deviations in these performance metrics, as well as gradual drifts over periods of hours, days, months, or years. Rapid QC-MS is open-source, simple to install, and highly configurable. By integrating open-source Python libraries and widely used MS analysis software, it can adapt to any LC-MS/MS workflow. Rapid QC-MS runs locally and offers optional remote quality control by syncing with Google Drive. Furthermore, Rapid QC-MS can operate in a semiautonomous fashion, alerting users to specimens with potentially poor analytical integrity via frequently used messaging applications. Initially developed for integration with Thermo Orbitrap workflows, Rapid QC-MS offers a fast, straightforward approach to help users collect high-quality untargeted LC-MS/MS data by eliminating many of the most time-consuming steps in manual data curation. Download for free: https://github.com/czbiohub-sf/Rapid-QC-MS.

Spaceborne SAR System Design Considerations: Minimizing Satellite Size and Mass, System Parameter Trade-Offs, and Optimization

The goal of this research is to assess and guide the development of next-generation synthetic aperture radar (SAR) satellites, optimize their performance, and present the requirements related to the design parameters. In the current era, characterized by the rapid advancement of SAR technologies, the challenge of designing compact and efficient satellites is more relevant than ever. The present research provides a comprehensive analysis of design parameters for microsatellite applications, including altitude, incidence angle, operating frequency, antenna sizing, and transmitting power. The complex relationships between these parameters and their combined impact on SAR system performance and satellite dimensions are demonstrated through various scenarios. Special attention is given to balancing the SAR antenna area and the transmitting power needs, which are primary constraints in SAR microsatellite design. A detailed comparative study is presented, highlighting how each design decision affects the overall functionality and performance. Modern SAR satellites with masses under 150 kg can operate with approximately 1 kW of transmitting power and a 10 m2 SAR antenna area. The present results analyze and validate the key parameters related to these satellites, coping with the challenging trade-offs through optimization. Furthermore, this study aims to guide future innovative spaceborne SAR system design, highlighting the potential of optimization techniques in advancing spaceborne SAR technology.

Empirical study of robotic systems implementation to corporate performance in manufacturing sector

PurposeThis study aims to investigate the impact of implementing various robotic systems in logistics and supply chain management on corporate performance in Jordanian manufacturing companies, focusing on environmental, operational, economic, and social dimensions.Design/methodology/approachUsing a quantitative approach, data was collected through a survey questionnaire to measure the relationship between robotic systems and several performance dimensions. Various established constructs were employed, and the structural relationships were analyzed using partial least squares structural equation modeling (PLS-SEM) to assess the complex interdependencies within the model.FindingsThe results of this study indicate that the adoption of robotic systems has a positive influence on the environmental, operational, economic, and social performance of Jordanian manufacturing companies. In contrast to prior research that revealed inconsistencies in the social dimension, our findings align with previous studies highlighting the benefits of robotics in logistics and supply chain management. However, it’s worth noting that this study did not uncover similar inconsistencies, particularly in terms of the impact on social performance.Practical implicationsThe study provides valuable insights for manufacturing companies considering the implementation of robotic systems, highlighting the need to evaluate the environmental, operational, social, and economic consequences. This understanding can help organizations make informed decisions to leverage the benefits of robotics for sustainable growth.Originality/valueThis study contributes to the growing literature on robotics in logistics and supply chain management, specifically focusing on the unique context of Jordanian manufacturing companies. By examining the multifaceted impact of robotic systems, this study extends the understanding of the role of technology in enhancing corporate performance.

Jordanian EFL Students' Views on the Impact of Online Learning on Their Academic Achievement and Self-Motivation

The research aims to explore Jordanian EFL students' views on the impact of online learning on their academic achievement and self-motivation. The study involved 1776 EFL participants from Al-Zaytoonah, Isra, and Middle East Universities in the academic year 2023-2024, out of which 388 were chosen randomly for sampling. Data gathering was facilitated through a validated survey, distributed both digitally via Google Forms and in printed forms. Collected responses were organized in Excel for analysis. The analysis process involved evaluating the data, focusing on participant demographics, and using frequency and percentage metrics. Both academic performance and self-motivation dimensions were evaluated through mean values, standard deviations, and the MANOVA test. The initially used 5-point Likert scale was restructured into three categories: low, moderate, and high. The results indicate a middle-range influence on the investigated domains, with academic performance taking a slight lead. Key influencing factors identified were gender and GPA. The effect of online learning on student outcomes was diverse, positively impacting collaboration, preparedness, and overall performance but showing limitations in areas like time management and assignment submission. Even though students expressed contentment in collaborative areas, the research highlighted gaps in intrinsic motivation and perceived relevance of tasks.

How does green manufacturing enhance corporate ESG performance? — Empirical evidence from machine learning and text analysis

Green manufacturing, widely recognized as a crucial avenue for companies to achieve sustainable competitive advantages, exerts significant spillover effects on both environmental protection and social responsibility. Accordingly, this can significantly enhance corporate Environmental, Social, and Governance (ESG) practices and enhance overall ESG performance. This study focuses on Chinese A-share listed firms between 2009 and 2022, characterizing their ESG performance. Employing quasi-natural experimental methods, this research evaluates the causal relationships and specific channels through which green manufacturing enhances corporate ESG performance. The findings demonstrate that green manufacturing significantly empowers companies to strengthen their ESG performance. Channel analysis indicates that enhanced green innovation capabilities and the reduction of financing constraints constitute two critical channels through which green manufacturing facilitates ESG performance improvement. Further analysis indicates that all three subsystems in the green manufacturing system significantly empower companies to enhance ESG performance to varying degrees, with the most significant empowerment effect observed in the environmental dimension of ESG performance. The analysis below indicates that the enhancement of corporate ESG performance yields dual benefits, reflected in both economic gains and reputational enhancements.

Proposed enhanced gap analysis model for information systems sector (ISSERVQUAL)

Orientation: Gap analysis in the information system (IS) sector is difficult to assess.Research purpose: A gap analysis model based on SERVQUAL is proposed to assess the gaps in IS services.Motivation for the study: During coronavirus disease 2019 (COVID-19), there has been an extensive use of distant learning and virtual meeting applications. Yet, there is no well-documented way to evaluate the IS service provided.Research design, approach and method: The proposed model adds a performance dimension covering the main characteristics of IS services. The model is tested on the internet service providers in Egypt as a case study. A questionnaire for the proposed model is developed, validated and distributed.Main findings: The questionnaire is statistically analysed to find whether there is statistical difference between the expectation and the perception for each factor. Then the data are tested to find whether the gender of the respondents, internet service provider and the status of whether the respondent pays for the service themself have a significant effect on the gap scores or not. Finally, an ordinal regression fit is introduced to estimate the overall satisfaction of the customers based on their gap score.Practical/managerial implications: Despite SERVQUAL being an adequate tool to analyse the gaps for different services, it needs some adaptation to fit different services. One important drawback of SERVQUAL analysis for the IS sector is that the dimensions of SERVQUAL do not fully cover the customer expectations in the IS sector.Contribution/value-add: This paper attempts to fill this gap in the literature by introducing the ‘ISSERVQUAL’ model.

Rhythm and shift frequency of strategic renewal in Indonesian firm performance

Purpose This study aims to explore how manufacturing firms in emerging economies can effectively adjust the rhythm and shift frequency between exploitation and exploration renewal. The authors also examine how these strategic adjustments can significantly boost firm performance, offering insights into the dynamic process of strategic renewal. Design/methodology/approach This study analyzes annual reports of 127 Indonesian manufacturing firms from 2014 to 2019, applying both linear and curvilinear regression models to examine the hypotheses. Data on exploration and exploitation renewal were meticulously gathered using computer-aided text analysis, using targeted keywords to identify strategic renewal efforts. Findings The study shows that a rather irregular balance rhythm between exploitation and exploration renewal surprisingly enhances firm performance. A curvilinear relationship emerges as performance peaks when the shift frequency of renewal occurs about three times. This relationship optimizes the strategic renewal processes, emphasizing that firms need to remain agile and adaptable in today’s dynamic market environment. Originality/value This study leverages organizational learning to assess how the paradoxical dimensions of exploration and exploitation renewal impact firm performance. By focusing on the temporal transition of these tensions, it provides insights into optimizing the rhythm and shift frequency of renewal, transitioning from a static to a dynamic accord.