Dimensions Of Performance Research Articles

Professionalization in family businesses: the role of leadership style

PurposeThis paper investigates the impact of various leadership styles on the professionalization and subsequent performance of family businesses.Design/methodology/approachUsing a survey method and employing a partial least squares approach to structural equation modeling, we tested our model and analyzed the collected data based on the responses of 216 managers in Iran.FindingsOur research demonstrates that professionalization mediates the relationship between leadership style and performance. Moreover, our findings show that the participative leadership style is the most effective option for family businesses seeking to achieve professionalization and improve performance.Research limitations/implicationsFirst, the sample used in this study was drawn from a single country, namely Iran. Second, although we adhered to established practices for measuring financial performance, future research could explore alternative dimensions of performance, including non-financial goals. Third, we did not investigate the impact of different leadership styles on each dimension of professionalization.Practical implicationsThese findings provide valuable insights for family business managers seeking to adopt a suitable leadership style to achieve professional management and realize favorable outcomes.Originality/valueOur study suggests that examining the potential impact of leadership styles on professionalization can provide clarity amidst mixed findings regarding the influence of professionalization on firm performance. Additionally, we challenge the oversimplified categorization of professionalization and argue for a multifaceted view, contending that professionalization comprises various dimensions acting concurrently and potentially mediates the effect of leadership styles on family business performance.

Resilience capabilities and performance dimensions of manufacturing supply chains in a developing economy

PurposeThis paper investigates whether resilience capabilities influence manufacturing performance dimensions. Specifically, it empirically analyses how supply chain agility, alertness, adaptability and preparedness affect manufacturing firms’ operational and sustainable (economic, social and environmental) performance aspects.Design/methodology/approachThe paper employed a deductive approach and an explanatory design. It gathered survey data from 285 managers in 5,329 Ghanaian manufacturing firms and analysed it using structural equation modelling.FindingsThe study found resilience capabilities comprising agility, alertness and adaptability to significantly and positively predict changes in manufacturing firms’ sustainable (environmental, economic and social) and operational performance. However, the preparedness capability positively impacts the firms’ operational and environmental performance, not economic and social.Research limitations/implicationsThis paper is restricted to Ghana’s manufacturing industry. Underpinned by the dynamic capabilities theory and extensive empirical reviews, the model was developed with four resilient capabilities and four manufacturing performance dimensions.Practical implicationsThe study highlights the relevance of resilience in today’s highly disruptive manufacturing environment for achieving sustainable and operational performance. It encourages manufacturing firms to prioritise heavy investments in alertness, adaptability and agile capabilities to overcome supply chain disruptions and enhance sustainable and operational excellence. It also offers significant insights for policymakers, managers and industry players to advance resilience capabilities and swiftly detect and recover from emerging disturbances in manufacturing supply chains, leading to higher performance.Social implicationsThe study contributes to resource conservation and a more sustainable future by projecting resilient capabilities in today’s disruptive environments. The shift towards SCR can influence public attitudes and opinions toward manufacturing and contribute to firms’ sustainability goals.Originality/valueThis study is the first to investigate the linkages between resilient capabilities and performance aspects simultaneously in less developed economies like Ghana. In these economies, manufacturing supply chains often face varying risks that continue to disrupt their operations and sustainability goals.

Assessment of Operational, Environmental and Social Performance of Container Ports in Türkiye

ABSTRACT Purpose: This study aims to reveal the sustainability orientations of container port facilities operating in Turkey through sustainability reports and to evaluate the performance of their operational, environmental and social dimensions both separately and in an integrated manner (Environmental, Social, Operational-ESO). Methodology: Sustainability orientations of container port facilities were subjected to qualitative assessment through examination of web pages and sustainability reports. The data obtained through document scanning regarding operational, environmental, and social performance indicators revealed by researching the relevant literature were analyzed using the MULTIMOORA method. The Rank Position Method was used in the performance ranking of port facilities. Findings: The results show that 18% of the container service port facilities publish independent sustainability reports. There are deficiencies in the environmental and especially social performance indicators taken into account in the sustainability reports. Among the port facilities examined, Mersin International Port, which has the highest operational performance, is also ranked as the facility with the lowest integrated performance (ESO). The port facility with the highest integrated performance (ESO) was Socar. Originality: The study contributes to filling the gap in the literature regarding the evaluation of environmental, social and operational performance of container ports in Turkey with the MULTIMOORA method. More importantly, the integrated examination of relevant performance dimensions represents the originality of this study.

The Influence of Green Product Innovation, Green Process Innovation, and End-of-Line Management Innovation on Sustainability Performance Dimensions

Purpose- Sustainability performance (SP) boosts competitive advantage and benefits the environment and society. The present study analyzes the impact of green technology innovation (GTI) dimensions, namely green product innovation (GPtI), green process innovation (GPsI), and end-of-line innovation management (ELIM), on SP dimensions, namely economic performance (EcP), environmental performance (EnP), and social performance (SoP).Design/Methodology- A questionnaire instrument was developed and administered to a sample of 145 small and medium-sized enterprises (SMEs) located in the Tehran province of Iran. The data collected were analyzed using PLS-SEM.Findings- The data analysis results showed that GPtI and GPsI significantly influence EcP, EnP, and SoP. Furthermore, the findings indicate that while ELIM positively impacts EnP and SoP, it does not exert any influence on EcP.Practical Implications- This research highlights the significance of GTI in enhancing SP, providing practical implications for SMEs to adopt eco-friendly practices, thereby improving operational efficiency, reducing environmental impact, and fostering competitive advantage in the market.

Influence mechanisms of digital construction organizations’ capabilities on performance: evidence from SEM and fsQCA

PurposeWith the rise of digital construction, using organizational capabilities to improve project performance in a turbulent environment has become critical for the high-quality development of the construction industry. However, the complex relationships among them remain unclear. Therefore, this study explores these linear relationships under the digital construction mode and reveals the driving mechanism of multi-factor linkage on project performance.Design/methodology/approachData were collected from 263 project participants in digital construction projects in China using a questionnaire. Hypothesis testing was conducted using partial least square structural equation modeling, and the differentiated patterns of project performance formation were revealed through fuzzy-set qualitative comparative analysis.FindingsOrganizational information technology, innovation, coordination, integration management and emergency management capabilities improve project performance. Environmental turbulence is a positive moderator between coordination capabilities and project performance, while other capabilities do not align with environmental turbulence. The research obtained five equivalent configurations for achieving high project performance, such as “capability layout” and “internal driven,” and two paths that lead to non-high project performance. Finally, in contrast to existing studies, we discovered the outstanding contribution of emergency management capabilities to project performance and the auxiliary effect of information technology capabilities.Originality/valueThis study innovatively integrates a dimensional framework of construction project organizations’ capabilities under a digital construction mode and extends the organizational capabilities to the specific and operational capability dimension level. Furthermore, this study opens the “black box” of the influence of organizational capabilities on project performance in environmental turbulence and reveals the differentiated and equivalent configurations for the formation of project performance. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment. The study broadens the theoretical perspective of organizational capabilities on project performance research in the digital context and provides practical enlightenment for guiding the capability configuration of construction project organizations in a turbulent environment.

SUSTAINABILITY REPORT ON FINANCIAL PERFORMANCE IN THE INDONESIAN MANUFACTURING SECTOR

This study examines the effect of the relationship between the economic, environmental, and social dimensions of sustainability reports on financial performance on the Indonesia Stock Exchange for manufacturing companies. Secondary data is generated through financial reports and sustainability reports provided in a structured manner. The population for this study consisted of 211 populations using 16 samples of manufacturing companies that published financial reports and sustainability reports in 2019-2021. The hypothesis was tested using Multiple Linear Statistical Tests. Testing was carried out at a significance level of 0.05. The findings of this study reveal that there is a significant relationship between the social dimension of sustainability reports and company performance. While the economic and environmental dimensions of sustainability reports do not provide a relationship to financial performance on the Indonesia Stock Exchange. This study recommends that practitioners of financial performance pay more attention to economic, environmental, & social indicators in companies listed on the stock exchange in order to get a positive response from stakeholders. Keywords : Sustainability Report, Financial performance

Exploring digital solutions for sustainable production: academic insights and practical applications

ABSTRACT Digital technology adoption in sustainable production practices is increasingly recognised as pivotal for advancing sustainability objectives. However, existing literature predominantly focuses on the technological aspects, leaving the nuanced experiences and insights of academic scholars underexplored. This study addresses this gap by surveying 314 scholars from diverse regions to evaluate the influence of various digital technologies on economic, operational, and environmental performance in sustainable production. Utilising multilevel ordinal logistic regression (M-OLR), the research identifies six critical digital technologies that significantly enhance sustainable production outcomes. The application of M-OLR effectively accounts for spatial heterogeneity, providing a more robust analysis compared to standard ordinal logistic regression (OLR) models. The findings underscore the essential role of digitalisation in facilitating sustainable transitions, offering novel insights into how digital technologies can drive improvements across economic, operational, and environmental dimensions. The implications extend to policy formulation and strategic planning of digital technologies to achieve comprehensive sustainability goals.

Governing in the face of a global crisis: When do voters punish and reward incumbent governments?

The recent COVID-19 pandemic offers a rare opportunity to understand how citizens attribute responsibility for governments' responses to unanticipated negative-and in this case, systemic-exogenous shocks. Classical accounts of responsibility are complicated when crises are pervasive, involve multiple valence dimensions, and where individuals can make relative assessments of performance. We fielded a conjoint experiment in 16 countries with 22,147 respondents. In this experiment, subjects made re-election decisions regarding 178,184 randomly assigned incumbent profiles. We find that incumbents' performance along both health and economic dimensions drives these hypothetical reelection decisions. Using machine learning techniques, we find only muted heterogeneity in the magnitude and distribution of these treatment effects. This result suggests that these widely reported performance signals have consistent political effects across countries. In a complementary analysis, we also find that subjects' intentions to vote for incumbent governments are positively correlated with subjective and relative evaluations of the government's pandemic performance, along both health and economic dimensions. These results provide consistent evidence that evaluations of pandemic performance matter politically.

Introduction of POP index for monitoring and enhancing plant overall performance

This research presents the Plant Overall Performance (POP) index as a framework for evaluating and enhancing manufacturing plant performance. A case study in a fiber cement company with five plants in India employed a systematic methodology, starting with a literature review and assessment of current practices. The POP index integrates key operational dimensions—productivity, quality, cost, and environmental, health, and safety (EHS) metrics—into a unified performance measure. Monthly evaluations reveal specific strengths and weaknesses in each plant, enabling targeted improvement initiatives that contribute to overall operational excellence which can be implemented across the industries to derive the intended benefits.

Integration of a compact multiband antenna with CubeSat systems for efficient remote sensing and space applications

Abstract This study investigates a compact multiband antenna integrated with a CubeSat optical system for remote sensing tasks. The proposed antenna is designed and analyzed using the CST Microwave Studio simulation environment. The results on the antenna performance are found to be quite good. Furthermore, the contribution of the FSS structure is investigated and analyzed by mounting it on a 1U CubeSat chassis made of PEEK material. A distinctive feature of the antenna is its compact design, ease of fabrication, and low cost, which are made possible by the advantages of TPU filaments that can be produced using a 3D printer. The antenna can be mounted on the tip of the nanosatellite together with the camera, providing space for solar panels or other equipment without using additional space in the side areas. Given the limited dimensions of CubeSats, our antenna makes efficient use of the surface. The antenna operates in the S, C, X, Ku, K, and Ka bands and achieves gains of 6.31, 4.08, 9.97, 7.06, 7.12, and 8.22 dBi, respectively; the reflection coefficient is much lower than −10 dB, and the VSWR value is below 1.5. In summary, the microstrip patch antenna system proposed in this work can be used in similar CubeSat remote sensing applications, offering excellent performance, reliability, simplicity, and compact dimensions in the fabrication and deployment system. In the future, we plan to perform fabrication and space environment testing of the proposed antenna, such as vibration, thermal vacuum cycling, and thermal shock.

The impact of operational excellence methodologies on sustainable performance in the service sector: a systematic literature review

In today's competitive marketplace, organizations adopt Lean, Six Sigma, and Lean Six Sigma to enhance efficiency, reduce waste, improve quality, and increasingly promote sustainability. This article systematically reviews the impact of these methodologies on sustainable performance in the service sector, which contributes 51.6% of GDP across 168 countries. Analyzing 99 articles from 2013-2023, the study reveals limited research linking Lean Six Sigma to sustainable performance in services. Findings show a predominant focus on operational benefits (79%), with minimal emphasis on financial (15%), social (3%), and environmental (2.66%) measures. Our findings highlight the need for research addressing the comprehensive impact of these methodologies on all dimensions of sustainable performance.

A Cross-sectional Study to Evaluate the Quality of Life among Children Diagnosed with Thalassemia Major in Gujarat

Abstract Background Thalassemia, a chronic condition that lacks an effective treatment, significantly impairs a child's quality of life (QoL), affecting academic performance and various dimensions such as physical, emotional, and social functioning. The objectives of this study are to evaluate the QoL of children with thalassemia major and to investigate the relationship with selected demographic variables of children. This study addresses the crucial need to assess the QoL among children living with thalassemia major. By evaluating QoL, health care professionals can tailor treatment approaches to improve the lives of children affected by thalassemia major. Study Design and Methods This cross-sectional analytical study was conducted at the district division of the Indian Red Cross in Ahmedabad, Gujarat. The consecutive sampling technique was used. The study included 117 children with β-thalassemia major. The QoL of children aged 8 to 18 years was evaluated in September 2021 using the Short Form-36 (SF-36) questionnaire. Statistical analysis involved mean, standard deviation, and chi-square test. Results The mean age of the participants was 14.9 ± 3.1 years. The majority of the included children (56%) received blood transfusions for 15 days. The mean total score of SF-36 was 68.62 ± 12.96. Out of the total number of children, 55 had a score of more than 70, 50 had a score between 50 and 70, and 12 had a poor QoL with a score less than 50. The chi-square analysis reveals a statistically significant association between gender perception and QoL (p = 0.033). Similarly, a notable association is noted between monthly family income and QoL (p = 0.037). Conclusion This study revealed that the QoL in children diagnosed with thalassemia major is compromised. QoL assessment should be initiated for all children with thalassemia to identify and implement essential interventions that focus on the affected domains.

Toward an evolving framework for responsible AI for credit scoring in the banking industry

PurposeThe aim of this research is to conduct a systematic review of the literature on responsible artificial intelligence (RAI) practices within the domain of AI-based Credit Scoring (AICS) in banking. This review endeavours to map the existing landscape by identifying the work done so far, delineating the key themes and identifying the focal points of research within this field.Design/methodology/approachA database search of Scopus and Web of Science (last 20 years) resulted in 377 articles. This was further filtered for ABDC listing, and augmented with manual search. This resulted in a final list of 53 articles which was investigated further using the TCCM (Theory, Context, Characteristics and Methodology) review protocol.FindingsThe RAI landscape for credit scoring in the banking industry is multifaceted, encompassing ethical, operational and technological dimensions. The use of artificial intelligence (AI) in banking is widespread, aiming to enhance efficiency and improve customer experience. Based on the findings of the systematic literature review we found that past studies on AICS have revolved around four major themes: (a) Advances in AI technology; (b) Ethical considerations and fairness; (c) Operational challenges and limitations; and (d) Future directions and potential applications. The authors further propose future directions in RAI in credit scoring.Originality/valueEarlier studies have focused on AI in banking, credit scoring in isolation. This review attempts to provide deeper insights, facilitating the development of this key field.

Emphasis on Financial vs Nonfinancial Criteria in Employer Benefits’ Measurements

Few studies have examined the extent to which employers emphasize financial over nonfinancial criteria in measurement, reporting, and decision-making about health care benefits. To measure and identify factors associated with financial over nonfinancial emphasis in employer decision-making about health benefits. A survey was administered to a nationally representative sample of US employers to assess the extent of employers' emphasis on benefits plans' costs over member experience, access to care, and equity, and on financial vs other considerations when choosing third-party benefits administrators. The sample included in-company human resources administrators from randomly selected nongovernmental organizations with at least 50 employees. The survey was administered in 2 waves: May 2022 to July 2022 and November 2022 to April 2023. The survey included 41 multipart questions capturing information about the respondent, company, company interactions with benefits consulting firms and benefits administrators, and company approach to managing employee health benefits. Main outcomes were proportion of financially oriented measures that internal benefits administrators and external benefits consultants use and importance of financial vs other factors in companies' choice of third-party administrators. Of 1159 companies sampled, 251 (22%) responded; 30 with less than 50 employees were excluded. Of the 221 remaining companies, 147 (67%) used a benefits consulting firm. The companies and their benefits consultants focused on financial over nonfinancial performance dimensions in decision-making. While 125 companies (74%) tracked trends in health benefits costs and 109 (64%) tracked spending on the highest cost cases, only 14 (8%) tracked time employees spent having questions answered, and 12 (7%) tracked how often employees delayed receiving care because of an insurance company's actions. This financial focus was largely independent of organizational characteristics and other potential explanatory factors. Of 37 paired differences comparisons in the proportion of financial vs nonfinancial items, only 6 proportions (16%) differed significantly, with differences in proportions of 0.22 or less. In this survey study, US employers emphasized financial over nonfinancial criteria in their measurement and decision-making about health benefits. To improve health plan performance, employer measurement and decision-making must emphasize both nonfinancial and financial criteria.

지속적 개선을 위한 통제시스템의 활용과 조직역량이 사회적기업의 성과에 미치는 영향

[Purpose] The purpose of this study is to explore the use of control systems for continuous improvement and multidimensional organizational capabilities from a management accounting perspective as factors influencing the performance of social enterprises. [Methodology] This study conducted an empirical analysis based on survey data collected from social enterprises participating in the 2021 Social Progress Credit (SPC) program implemented by the Center for Social Value Enhancement Studies (CSES). To test the hypotheses, the study employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. [Findings] Firstly, the empirical analysis revealed that the use of control systems for continuous improvement does not directly impact the performance of social enterprises, while contributes to enhancing multidimensional organizational capabilities. Secondly, product and service competitiveness positively influenced both dimensions of performance. Marketing and cooperation capabilities were found to have a positive impact on economic performance, while stakeholder management capabilities positively influenced social performance. Lastly, the use of control systems was found to indirectly contribute to the performance in social enterprises via the mediating effects of organizational capabilities. [Implications] This study emphasizes the role of control systems and organizational capabilities in the qualitative growth of social enterprises, highlighting their importance for strengthening sustainability and independence.

The Effect of Business Intelligence System Implementation on Organizational Performance in the Digital Age

The implementation of Business Intelligence systems has emerged as one of the key strategies to enhance organizational performance in the digital era. This study systematically reviews 17 peer-reviewed articles from the Scopus database to examine the impact of BI systems on various performance dimensions, including operational efficiency, decision-making, financial outcomes, and customer satisfaction. Results indicated that BI systems enhance organizational agility and competitiveness, while data quality, management support, user training, and strong IT infrastructure were among the factors that drive their success. Challenges such as high implementation costs, resistance to change, and integration complexities remain. Emerging trends in AI integration, cloud-based solutions, and real-time analytics reflect the evolving possibilities of BI systems. This research contributes to the literature by synthesizing critical insights and offering actionable recommendations for practitioners and researchers aiming to leverage BI systems for sustained organizational growth.

التحقق من التخطيط الاستراتيجي للموارد البشرية في أداء إدارة مشاريع البناء في دولة الإمارات العربية المتحدة

This paper investigates the impact of strategic human resource planning on construction project management performance, focusing on infrastructure contracting companies. Strategic HR planning plays a critical role in enhancing project outcomes by addressing key performance dimensions such as cost efficiency, timeliness, quality, and safety. Using a mixed-methods approach, the research integrates qualitative insights from semi-structured interviews with quantitative data obtained through structured surveys. The study examines how strategic HR practices influence performance, with particular attention to the mediating roles of green HR practices, innovation capacity, and demographic factors like company size, capital, and age. The findings demonstrate that strategic HR planning significantly improves project management performance. This improvement is achieved by aligning workforce strategies with organizational goals, integrating Health, Safety, and Environmental (HSE) frameworks, and adopting green supply chain management practices. Green HR practices were found to positively influence sustainability outcomes, emphasizing the role of environmentally conscious HR strategies in achieving long-term success. Similarly, the study highlights the contribution of strategic HR practices to fostering innovation capacity, which enhances the organization’s ability to generate and implement innovative solutions, particularly critical in a dynamic and competitive industry like construction. Additionally, the study identifies financial evaluations as an essential component of strategic planning. These evaluations help organizations assess project feasibility, identify potential weaknesses, and align financial strategies with HR practices to enhance project success. The influence of demographic factors, including company size and age, further underscores the importance of tailoring HR strategies to organizational characteristics. Larger and more established companies tend to exhibit stronger project performance, benefiting from their resource base and institutional knowledge. Moreover, the research offers practical recommendations for construction firms seeking to optimize their HR strategies to achieve enhanced efficiency, sustainability, and competitiveness. However, the study is not without limitations. Its focus on infrastructure contracting companies in UAE limits the generalizability of findings to other industries or regions. Additionally, the reliance on self-reported data introduces potential biases, and the cross-sectional design does not capture long-term effects of HR strategies. Future research should adopt longitudinal designs to explore the sustained impact of strategic HR planning and extend the scope to include other industries and geographic contexts.

Innovative architectural design practices enabled by AI-powered parametric and computational approaches

The intersection of artificial intelligence and architectural design represents a significant technological advancement that fundamentally reshapes spatial creation and design methodologies. This research explores how computational approaches, specifically machine learning and parametric design algorithms, are transforming architectural practice by introducing novel capabilities for spatial exploration, performance optimization, and generative design. Artificial intelligence emerges as a collaborative tool that expands architectural design possibilities. Advanced neural networks and generative design algorithms enable computational systems to analyze extensive datasets, generate complex design iterations, and optimize architectural solutions across multiple dimensions of structural integrity, environmental performance, and contextual responsiveness. Empirical evidence from case studies of sustainable urban housing in Singapore and adaptive architectural systems in Madrid illustrates how computational technologies can produce design solutions that surpass traditional methodologies, addressing critical challenges in environmental sustainability and urban resilience. The research critically examines the technological capabilities and limitations of AI in architectural design. It highlights the potential for algorithmic bias, challenges in capturing phenomenological experiences, and ethical considerations surrounding creative agency. By emphasizing the need for interdisciplinary collaboration and robust ethical frameworks, the study provides a nuanced approach that balances human intuition with technological innovation.

Effect of Ambidexterity on Contestants’ Creative Performance in Open Innovation Contests

Innovation contests have been increasingly used to address innovation problems of seeker firms. However, seeker firms complain about low-quality submissions obtained from these contests. Research suggests low-quality submissions may result from contestants’ over-reliance on exploiting experience in solving similar contests. A more balanced approach in submissions involving exploitation and exploration (i.e., individual ambidexterity) will likely enhance creative performance. However, how ambidexterity affects contestants’ creative performance in innovation contests remains obscured. On the one hand, ambidexterity can have synergistic benefits. On the other hand, ambidexterity is costly to employ. We argue that when a contestant invests in cultivating individual ambidexterity, the benefits initially outweigh the costs, leading to enhanced creative performance. However, the costs may outweigh the benefits as individual ambidexterity increases, undermining creative performance. The overall relationship between individual ambidexterity and creative performance in open innovation contests follows an inverted U-shaped pattern. Creative performance was evaluated based on three dimensions—winning rate, submission novelty, and submission usefulness. Two analyses were used to test this relationship. In Analysis 1, we examined a panel dataset comprising 61,152 observations collected over 12 months from 5,096 contestants on a large innovation contest platform. Results support the hypothesis of an inverted U-shaped relationship between individual ambidexterity and contestant winning rate. In Analysis 2, we randomly subsampled 500 contestants from the sample used in Analysis 1. The subsample made 3,168 submissions, which were evaluated for submission novelty and usefulness by 14 experienced contestants (i.e., domain experts). The analysis results demonstrate that individual ambidexterity has an inverted U-shaped relationship with submission novelty but a positive linear relationship with submission usefulness. This work contributes to the literature on individual ambidexterity by identifying the inverse U-shaped relationship in creative contests and demonstrates how ambidexterity affects the three dimensions of creative performance. Suggestions for enhancing creative performance are also proposed.

Meta-Analysis of the Relationship Between Green Entrepreneurial Orientation and Sustainable Firm Performance

The purpose of this study is to examine the relationship between green entrepreneurial orientation and sustainable firm performance. In order to examine this relationship, a meta-analysis method was used, and analyses were carried out with a Comprehensive Meta-Analysis Software (CMA) v4 package program. In the study, a sample of 23 articles, 42 effect sizes, and 6666 enterprises was reached through a systematic literature review. The studies included in the research were accessed by searching the keywords “green entrepreneurial orientation” and “sustainable firm performance” from Web of Science, EBSCO Host, Scopus, and Google Scholar databases, and only articles without any year limit were included. Throughout the study, statistical analyses were performed on Fisher z values and conducted under the random effects model. The effect size, heterogeneity, and publication bias analyses of green entrepreneurial orientation and sustainable firm performance and its sub-dimensions were tested separately, and the findings were interpreted by converting them into correlation coefficients. As a result of the analyses, it was found that the relationship between green entrepreneurial orientation and sustainable firm performance is positive and highly significant (p < 0.05). In addition, the relationship between financial, environmental, social, sustainable, entrepreneurial, and green innovation performance, which is the sub-dimensions of sustainable firm performance, and green entrepreneurial orientation, was found to be high and significant (p < 0.05). However, it was concluded that there is no significant relationship between green innovation performance, which is another dimension of sustainable firm performance, and green entrepreneurial orientation. Moderator analyses revealed that sector and continent have a moderating effect on the relationship between green entrepreneurship orientation and sustainable firm performance.