Brazilian Journal of Operations and Production Management

Lean philosophy and Green practices have been identified as management approaches that allow organizations to reach better economic and environmental results. Nevertheless, some authors argue that results can be enhanced with the integration of the Lean and Green practices. This synchronous effort has led to the developing a new Lean philosophy branch, the Lean Green. Goal: This work aims to deepen the Lean Green state of the art, as well as to understand how companies have adopted it. Design / Methodology / Approach: The methodology was supported by a systematic literature review following three steps: Planning, data collection, data analysis throughout content analysis. Results: The results showed that Lean Green is still an emerging theme in scientific research, with an increasing trend of publications worldwide in the last six years, adopting distinctive research strategies. Companies' main motivations and barriers to adopting Lean Green were also identified. Finally, were identified the key factors that could help organizations to adopt Lean Green, namely critical implementation factors, facilitator models and tools, and the main results and advantages obtained. Limitations of the investigation: The main work´s limitation is that it was considered only the Scopus database. Practical implications: Help companies find solutions that enhance their performance and competitiveness, reduce their environmental impact, and improve their social responsibility. Originality/Value: The originality of this work is defended by crossing the results at the academic and practical levels. This allows the usefulness of academic research results by bringing them into a practical organizational context.

Cláudia Sousa e Silva

Sara Azevedo

Maria Fonseca

Brazilian Journal of Operations & Production Management

Lean Green Tendency

精益绿色趋势

Goal : This article presents a model for measuring the quality of public policies on innovation and its validation in a public policy on technology parks (SPTec) Design/methodology/approach: A survey on the quality of public policy SPTec was carried out. Through descriptive analysis, it was possible to verify the quality of public policy in five determinants of quality. Factor analysis allowed the regrouping of quality attributes into new determinants for SPTec public policy. Finally, the multiple regression analysis allowed us to analyze the dependence relationship between the variables. Results: The public policy SPTec is immature in terms of process quality, quality of the relation, and quality of the result. In addition, we identified the determinants that should be prioritized in the implementation of SPTec public policy in a possible reformulation. Finally, the attributes of quality that generate the greatest effect in terms of an increase in user satisfaction are shown, as well as those that generate a decrease in satisfaction if they have an increase in their performance. Limitations of the investigation: Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications: As a limitation, there is the fact that the factor analysis of public policy SPTec can only be generalized at the level of the same. Likewise, the presented model for measuring quality in the public sector requires adaptation for each public policy analyzed. Originality/value: This article fills a gap regarding the lack of instruments for measuring the quality of public policies in innovation systems.

Paulo Renato Pakes

Ana Lúcia Vitale Torkomian

Brena Bezerra Silva

Miguel Ángel Aires Borrás

Vívian Karina Bianchini

Carlos do Amaral Razzino

A model for measuring the quality of public policies in innovation

一种用于评估创新公共政策质量的模型

Goal: This study aims to examine the Gamification application of Productivity with Codeathon, which can make employees more engaging at work. The growing presence of Information technology in the industry is increasing the demand for a skilled workforce and further making them productive. Gamification's growing popularity among the industry and academicians is bringing new emerging forms that are beneficial to influence the user experience. However, there are many areas in which gamification has yet to benefit the user experience. The study analyzed the gathered data using confirmatory factor analysis, and the later section detailed the study analysis using a structural equation method. Design/Methodology/Approach: An online questionnaire gathered data from IT professionals to adopt the exploratory research, where respondents from Pune, India, were the study participants. The statistical approach adopted for this study was factory analysis followed by structural modelling with the help of tools such as IBM SPSS and Amos, which adds to the empirical Gamification contribution. Results: The study indicated a relationship between Gamification and Productivity among IT employees, where Autonomy was a mediator factor. Limitations of the investigation: This study primarily focused on the information technology sector among Generation Z and Y, but future research can explore other industries and countries. Practical Implications: Gamification encourages the participants' motivation level, making them productive at work and bringing sustainability. Companies shall organize gamified events like Codeathon and encourage their employees' participation, and therefore, the human resources team shall include it as part of their annual budget and planning. Originality/value: There is limited study in the Codeathon, and this research contributes by analyzing the Gamification aspects with Competition and Autonomy. It addresses the organization's emerging need for productivity issues, making it one of the limited studies in the Gamification with Codeathon. As a result, this study addresses the sustainable development goal 8 to bring and attain sustainability for work.

Swati Tayal

K Rajagopal

Gamification with Codeathon for Productivity Toward Sustainable Development Goal 8 – Decent Work and Economic Growth

通过代码马拉松的游戏化提升生产力以实现可持续发展目标8——体面工作和经济增长

Goal: This research delves into sustainable supply chain management within the context of manufacturing companies in Bangladesh, aiming to unravel the complexities and dynamics of supply chain visibility (SCV), connectivity, and their influence on economic, social, and environmental performance. Design/Methodology/Approach: Employing a contingent Resource-Based View perspective, the study develops a hierarchical model, formulates hypotheses, and conducts analyses using Smart PLS 4. It explores the interplay between supply chain connectivity, information sharing, and product complexity in influencing sustainable supply chain performance. Findings: The study reveals that supply chain connectivity positively impacts information sharing, leading to enhanced SCV. SCV, in turn, positively influences economic, social, and environmental performance. Product complexity is identified as a moderating factor in this relationship. Research Limitations/Implications: While the findings offer valuable insights, the study's focus on manufacturing companies in Bangladesh implies contextual limitations. Future research could explore diverse settings and delve deeper into the specific mechanisms driving these dynamics. Practical Implications: This study offers actionable insights for manufacturing firms in Bangladesh, emphasizing the strategic adoption of advanced IT infrastructure to bolster supply chain connectivity. By fostering a culture of real-time information sharing through ICTs, companies can optimize operational efficiency. The research also underscores the importance of tailored approaches to product complexity, providing practical guidance for navigating diverse product portfolios. These practices collectively contribute to improved economic, social, and environmental performance, positioning companies as agile and responsible players in the global supply chain. Social Implications: The study underscores the broader social implications of sustainable supply chain practices, emphasizing the need for responsible and transparent operations that balance economic prosperity, environmental responsibility, and social considerations. Originality/Value: This research contributes to the existing body of knowledge by advancing our understanding of sustainable supply chain dynamics, particularly in emerging markets. It offers original insights into the contingent relationships between supply chain connectivity, information sharing, product complexity, and sustainable performance.

Md Mehedi Hasan Emon

Tahsina Khan

Unlocking Sustainability through Supply Chain Visibility

通过供应链透明度实现可持续发展

Goal: This study investigates the impact of Supply Chain Environmental Uncertainty (SCEU) on competitive advantage and operational performance in manufacturing companies. The mediating role of competitive advantage and the moderating role of supply chain environmental uncertainty in the relationship between competitive advantage and operational performance were examined. Design/ Methodology/ Approach: This paper used quantitative approach to confirm the conceptual model. Data was collected through questionnaires from directors/operational managers in 121 large and medium-scale manufacturing companies in Southeast Sulawesi Indonesia. The analysis employs Generalized Structured Component Analysis (GSCA) to test the direct, mediating, and moderating effects of supply chain environmental uncertainty. Results: The findings demonstrate a significant positive influence of supply chain environmental uncertainty on competitive advantage and operational performance. However, competitive advantage does not significantly affect operational performance. The study reveals that competitive advantage is perfect mediator between supply chain environmental uncertainty and operational performance, while supply chain environmental uncertainty is a moderating predictor between competitive advantage and operational performance. Practical Implications: The research has implications for manufacturing company managers adapting to supply chain environmental uncertainty through supplier, customer, and technology considerations. It emphasizes the importance of adapting to supply chain environmental uncertainty to enhancing competitive advantage and operational performance in the manufacturing industry. Efforts to improve operational performance and strategically integrate competitive advantage should consider the business environment, including suppliers, customers, and technology. Limitations: This research is limited to large and medium-scale manufacturing industries, hindering generalization to other industries, particularly small-scale ones. Additionally, researchers can consider additional contextual factors such as supply chain integration, supply chain agility, and total quality management. Originality/Value: This study expands the theoretical framework of supply chain environmental uncertainty, competitive advantage, and operational performance through empirical testing of a theoretical model. The findings support the proposed model's validity and highlight the mediation role of competitive advantage and supply chain environmental uncertainty, providing a reference for future theory development and model building.

La Hatani

Nursaban Rommy

None Usman

Supply Chain Environmental Uncertainty, Competitive Advantage, and Operational Performance in Manufacturing Industry

制造业供应链环境不确定性、竞争优势与运营绩效

Goal: This study presents a four-steps methodology for the definition of the weights of sustainable indicators in the Swine Supply Chain (SSC) considering the Triple Bottom-Line (TBL) perspective. Design/Methodology/Approach: The methodology proposed was based on the Bellagio principles that guide the definition of importance levels for TBL criteria. It was applied to the swine supply chain using Saaty’s scale and information obtained from managers of two agribusiness companies, adjusted by the AHP method. Results: The results showed the relevance of an appropriate definition of the preferences of decision-makers to decide on the best actions towards environmental, economic, and social sustainability. Limitations: The limitations of the proposed model are mainly its subjective nature. Despite being necessary in multi-criteria methods, it could be a limitation if more quantitative indicators are relevant or demanded. Nevertheless, the proposed methodology also provides a quantitative perspective, as a result of using the Saaty scale. Practical implications: The definition and application of importance levels within a TBL-based model can help managers to prioritize environmental, social, and/or economic dimensions under a large diversity of alternatives toward more sustainable scenarios. The AHP method used in this work is a hierarchy method, particularly appropriate for defining weights that are essentially compensatory by nature. Originality/value: The correct definition and weight of the different dimensions, sub-dimensions, and respective indicators is currently one relevant gap in the literature, limiting the design and prioritization of corrective actions in each stage of the SSC and in the different dimensions of the TBL.

Silvana Kruger

Flavio Trojan

Antonio Zanin

Mauro Lizot

Paulo Afonso

Multi-criteria approach for weights definition of sustainability indicators in the swine supply chain

生猪供应链可持续性指标权重定义的多准则方法

Abbreviation	BJO&PM
Journal Impact	1.95
Quartiles(Global)	OPERATIONS RESEARCH & MANAGEMENT SCIENCE(Q3)

ISSN	1679-8171, 2237-8960
h-index	12

Publication Information	Publisher: Associacao Brasileira de Engenharia de Producao，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2019，Proportion of original research papers: ，Self Citation Rate:， Gold OA Rate:
Average review cycle	44 weeks

Brazilian Journal of Operations and Production Management

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Lean Green Tendency

A model for measuring the quality of public policies in innovation

Gamification with Codeathon for Productivity Toward Sustainable Development Goal 8 – Decent Work and Economic Growth

Unlocking Sustainability through Supply Chain Visibility

Supply Chain Environmental Uncertainty, Competitive Advantage, and Operational Performance in Manufacturing Industry

Gamification with Codeathon for Productivity Toward Sustainable Development Goal 8 – Decent Work and Economic Growth

Unlocking Sustainability through Supply Chain Visibility

Lean Green Tendency

A model for measuring the quality of public policies in innovation

Multi-criteria approach for weights definition of sustainability indicators in the swine supply chain