Abstract Paper aims This research establishes a method to evaluate a concurrent production system in parallel, through new operating curves of six sigma metrics. Originality Se proposes a novel method that provides criteria to monitor the performance of a production system in changing production conditions. Research method This research was approached from a logical positivist epistemological model, through a heuristic analysis and with a rational propositional approach to establish the characterization of the model, the evaluation metrics and propose the new operation curves. Main findings The results obtained show that as the sigma level increases in the global system (4.17), the level of defects per million opportunities decreases considerably and the performance increases at levels close to the main objective of Six Sigma, all this with a decrease of defects from 20.657 to 1.317, generating a high quality of 99.99% and achieving a good performance according to the established quality criteria. Implications for theory and practice This research provides a new tool where they articulate concepts of six sigma and operating curves to monitor a productive system, which allows in a practical way to determine the real capabilities in terms of quality performance of a system. parallel conditions model 4.17, 417 4.17 , 4 17 (4.17) Sigma 20657 20 657 20.65 1317 1 317 1.317 9999 99 99.99 41 4.1 (4.17 2065 2 65 20.6 131 31 1.31 999 9 99.9 4. (4.1 206 6 20. 13 3 1.3 99. (4. 1. (4 (

Abstract Paper aims This study aims to identify the advances in the literature related to Sustainable Life Cycle Assessment in the agricultural and food process sectors. Originality This study pioneers an investigation into trends in applying Life Cycle Sustainability Assessment techniques within the agricultural and food processing sectors, with a comprehensive consideration of environmental, economic, and social perspectives. Research method A systematic literature review and a bibliometric analysis revealed 71 articles that applied at least one of the life cycle assessment tools. Main findings The bibliometric analysis indicated that the studied areas have two main areas that separate studies in the food process sector and the agricultural sector areas. The content analysis indicated that most studies apply the environmental assessment of the life cycle, coupling some studies with the economic and social view and mainly using an attributional approach with the scope ranging from the cradle to the grave regarding the area. Implications for theory and practice As for theory, this study includes advancing knowledge and filling a research gap, while the practical relates to more sustainable decision-making by professionals involved in the agricultural and food processing sectors. sectors perspectives 7 tools area gap decisionmaking decision making

Abstract Paper aims To analyze the consumers intention to buy in commerce and services in the neighborhood, using the Theory of Planned Behavior (TPB) as a theoretical basis, analyzing the Attitude, the Subjective Norm, the Perceived Behavioral Control, and expanding the TPB through the influence on the Attitude of the Moral Attitude, Empathic Concern and the Impact of Covid-19. Originality There are no studies on consumer buying behavior in commerce and neighborhood services in emerging countries, nor with this combination in the conceptual structure - TBP, Empathic Concern, Moral Attitude and the Impact of Covid-19. Research method Data were collected from respondents, and analysis was performed using Partial Least Squares - Structural Equation Modeling (PLS-SEM). Main findings The results indicate that the consumer's attitude towards buying in the neighborhood's commerce and services was positively and significantly influenced by the Moral Attitude and Impact of Covid-19 but not by Empathic Concern. Attitude, Subjective Norm, and Perceived Behavioral Control positively and significantly influence the intention to buy in neighborhood commerce and services. Implications for theory and practice As a theoretical implication, the conceptual model extends the TBP, adding the dimensions of Empathic Concern, Moral Attitude, and the Impact of Covid-19 on Attitude. In practice, the study can help store managers, retailers, and marketing professionals in the sector incorporate specific actions to reach potential consumers and improve their results. (TPB basis Norm Covid19. Covid19 Covid 19. 19 countries TBP respondents PLSSEM. PLSSEM PLS SEM . (PLS-SEM) s neighborhoods Covid-1 implication managers retailers Covid1 1 (PLS-SEM Covid-

Abstract Paper aims Due to the scarcity of research that approaches the Lean Office in conjunction with Industry 4.0 Technologies, this article aims to discuss, understand and analyze the associations between these two concepts, as well as identify gaps to be explored. Originality This research contributes with guidelines for applying Industry 4.0 Technologies in administrative areas and possibilities of an association with the Lean for the development of the Smart Office. Research method Based on a systematic review of the literature, with a basic purpose, a descriptive objective, and qualitative data, a framework for developing the Smart Office is presented. Main findings An association model between Lean Office tools and Industry 4.0 Technologies is provided. It even classifies and addresses the impact and trends in administrative environments so that managers can develop the Smart Office. Implications for theory and practice Industry 4.0 technologies have been widely discussed in companies that seek to improve processes, mainly industries; however, there are still few applications in administrative environments. The applicability and association of new technologies for Smart Office can explore future studies and contribute to the growth of these areas in addition to the creation of new articles relating to technologies in this environments. 40 4 0 4. discuss concepts explored literature purpose objective data presented provided processes industries however

Abstract Paper aims Apply a framework for characterizing a product-service system (PSS) from a life cycle and sustainability perspective. Originality Although the literature on the topic has evolved, there is still limited practical guidance on how to characterize a PSS. The paper contributes by applying a framework in PSS types. Research method A proposed conceptual framework was applied to characterize a PSS. This framework was assessed by experts, from which responses were statistically analyzed. Then, it was applied in three PSS types (bike sharing, water purifier rental, and car sharing). Main findings The initial result is the consolidation of the framework through statistical analysis. Then, its application in the three PSS types was able to spot the stages of the life cycle that each PSS focuses on most. Specifically for the water purifier, the most focused steps were ‘development’ and ‘implementation’, demonstrating efficient strategic planning and a commitment to meeting customer needs. Implications for theory and practice This study contributes to calls for more research and guidance into the PSS application. From a practical perspective, it may support product and systems designers by shedding light on the conceptual elements of PSS offerings. productservice service (PSS perspective evolved experts analyzed Then bike sharing rental sharing. . sharing) analysis ‘development development ‘implementation, implementation ‘implementation , ‘implementation’ needs offerings

Abstract Paper aims This study is grounded in the supply chain resilience (SCRES) capabilities literature and the dynamic capabilities theory (DCT), which is used to develop a framework of dynamic SCRES capabilities for global supply chain disruptions. Originality This study explores firms' adapting, responding, and learning capabilities in the initial outbreak of the coronavirus pandemic 2019 (COVID-19) in the Irish context. Research method The research methodology was based on semi-structured interviews with supply chain leaders of international operations, extending between Ireland and the UK. Data analysis utilises a hybrid thematic analysis approach that integrates inductive codes with deductive priori-driven constructs. Main findings Five significant impacts of COVID-19 on supply chain operations are revealed: capacity and resource constraints, supply issues, demand spikes, supply chain skills shortages, and human resource factors. Furthermore, firms' high-order SCRES capabilities during a pandemic are related to their adaptation, response, and learning capabilities. Operational capabilities and resilience practices support these high-order capabilities. However, the empirical evidence indicates that resilience practices overlap across SCRES capabilities. Implications for theory and practice The connection between SCRES and dynamic capabilities is emphasized by demonstrating that operational capabilities and resilience practices are integral building blocks of high-order SCRES capabilities. We distinguish between dynamic and operational capabilities and present an integrative framework to elaborate the theory of dynamic SCRES capabilities. Moreover, valuable insights into developing dynamic SCRES capabilities are highlighted by adapting to changes, seizing opportunities, coordinating tasks, and engaging in learning routines in response to a pandemic disruption. Firms that harness SCRES elements and practices to enhance their adaptability, response, and learning capabilities share similarities with the dynamic capabilities processes of adapting & seizing, coordinating, and learning. (SCRES DCT, DCT , (DCT) disruptions firms responding 201 COVID19 COVID 19 (COVID-19 context semistructured semi structured UK prioridriven priori driven constructs COVID-1 revealed constraints issues spikes shortages factors Furthermore highorder high order adaptation However Moreover changes opportunities tasks disruption adaptability (DCT 20 COVID1 1 (COVID-1 COVID- 2 (COVID- (COVID

Abstract Paper aims This paper aims to discuss Industry 4.0 (I4.0) impacts on the Brazilian Modular Consortium (BMC) assembly lines related to work - issues correlated with human resources; production - physical resources used in production process; knowledge - associated with creation and sharing of knowledge. Originality Findings explore I4.0 research opportunities related to work and human factors on assembly lines. In lieu of gaps in literature, this research further discusses management challenges to support digital transformation and impacts on workers and organizations. Research method A case study on Engine Value Chain (EVC) of BMC, which includes MWM, engine manufacturer; Powertrain, engine assembler at BMC; Volkswagen Truck & Bus, BMC responsible. Semi-structured interviews were conducted with four senior managers responsible for I4.0 implementation. Responses were treated via content analysis. Main findings The interviewees highlight work and human factors as important for I4.0 implementation, which include workers tasks, skills, nature of work, human resource development, hiring process and organizations strategies. It was also found that knowledge sharing poses a huge challenge. Implications for theory and practice The findings contribute with academic interest on work, production and knowledge impacts on assembly lines, and with practitioners on issues related to I4.0 implementation. 40 4 0 4. I40 I I4 (I4.0 (BMC I4. literature EVC (EVC MWM manufacturer Powertrain Bus Semistructured Semi structured implementation analysis tasks skills development strategies challenge (I4. (I4 (I

Abstract Paper aims This paper proposes a roadmap framework based on a literature review to choose the most proper indicators and targets for a given logistics process derived from the organization's strategic goals. Originality One of the many benefits from the introduction of technologies and the digitization of logistics processes is the acquisition of a great amount of data, which is a valuable asset for an efficient management. In order to transform this data into useful information, most companies rely on performance indicators. In this sense, this paper proposes a roadmap framework based on previous works to guide managers on how to choose a set of indicators that are linked to the company’s targets. To the best of our knowledge, no previous research has proposed a framework dealing with target definitions based on historical data and previous standards or benchmarking, as well as the logistics indicators choice based on the representation theory. Research method In order to elaborate the framework, a two-step structured literature review was carried out, combined with a case application. The literature review included steps based on the works of Govindan & Bouzon (2018) and Moher et al. (2009). The Scopus and the Web of Science databases were selected to gather material to base this study. The framework was applied in a Brazilian construction enterprise, located in Joinville city, Southern Brazil. Main findings The framework application showed that the methodology can facilitate the selection of indicators linked with the company’s strategic goals. Additionally, the indicators legitimation process with managers, a step from the framework, showed that managers' knowledge about the company’s processes is essential for a successful logistics performance system implementation. However, the managers can be resistant to changes for new indicators, and this situation should be avoided during the legitimation process. Future studies may expand the methodology application to other areas than logistics, and future applications of the framework in a Logistics 4.0 environment should provide more insights for the model. Implications for theory and practice From a theoretical perspective, a complete table of logistics performance indicators is provided, as well as the framework for indicators and target definition. From a practical panorama, the framework application shows that practitioners can use this study as a guide to develop more effective logistics performance measurement systems. Moreover, concluding remarks on the relationship between digital transformation and performance measurement systems are provided. organizations organization s goals management information sense companys company benchmarking twostep two out 2018 (2018 al 2009. 2009 . (2009) enterprise city Brazil Additionally implementation However 40 4 0 4. model perspective provided definition panorama Moreover 201 (201 200 (2009 20 (20 (200 2 (2 (

Abstract Paper aims This study identified the main aspects related to deservitization in manufacturing firms, a process involving the dilution of services after their integration into companies’ business models. Originality The deservitization process has been identified as a movement among manufacturing companies, but so far, there is limited understanding of its characteristics. The paper contributes to the existing literature by identifying the main aspects related to the dilution of once-added services by manufacturing firms. Research method A literature review was conducted. A content analysis of the selected papers (89 publications) was carried out to identify the main challenges discussed in the servitization literature as issues leading to deservitization. Main findings The explanations for manufacturing firms failing in the transition to servitization and consequently taking the deservitization path discussed in the literature are related to changes in the organizational structure, new capabilities, modification of the business model and strategy, and difficulties in the interaction between supplier and customer. Implications for theory and practice Deservitization is a complex phenomenon, and little is known about it, especially when compared to the existing body of knowledge on servitization. The paper thus extends the knowledge on the conditions leading to deservitization in manufacturing firms. companies models far characteristics onceadded once added conducted 89 (8 publications structure capabilities strategy customer phenomenon it 8 (

Abstract Paper aims This study demonstrates the complexity of the patient flow from admission to discharge of an adult Intensive Care Unit (ICU) through the application of the Functional Resonance Analysis Method (FRAM). Originality This paper shows the daily functioning of the patient flow, shedding light on the high levels of interdependence and variabilities in Complex Sociotechnical Systems. Research method The research was developed according to the four steps for FRAM analysis. Sources of evidence involved empirical data collection in a leading teaching public hospital in Brazil. Main findings There were identified 34 functions performed mainly by caregivers and support staff. Five instantiations were described to illustrate the functional resonance scenarios caused by the variability propagation across the functions. Implications for theory and practice Limitations of this study and suggestions for future research are pointed out. The resulting model is a basis for context understanding for ongoing and following studies. ICU (ICU FRAM. . (FRAM) Systems analysis Brazil 3 staff out studies (FRAM

Abstract Paper aims This paper presents the literature findings of the Covid-19 vaccines supply chain, its main challenges and best practices, which are compared and verified empirically. Originality The questionnaire developed in this study provides new empirical data about the Covid-19 vaccines supply chain, especially regarding the impacts of the Covid-19 pandemic in the chain, as these events are still recent. Research method A questionnaire was sent by e-mail to specialists working with the Covid-19 vaccine supply chain in South America. Each response was compared to the literature findings. Main findings Despite the challenges faced by vaccination programs, some countries have achieved good results due to strategies adopted at the beginning of their immunization campaigns. The empirical research confirmed that literature findings match business reality, although some empirical results vary depending on the scenario of the country regarding the impacts of the pandemic. Implications for theory and practice This paper summarizes the Covid-19 vaccine supply chain and its challenges, best practices of the most successful countries regarding the immunization process, providing a better understanding of the pandemic scenario. Some empirical data corroborate the literature, and some discrepancies allow the formulation of suppositions that may be tested in future studies. Covid19 Covid 19 Covid-1 empirically recent email e mail America programs campaigns reality process studies Covid1 1 Covid-

Abstract Paper aims This paper compares the economic valuation (Intrinsic Cost or IC) of carbon dioxide emissions (carbon price) of the externality taxes (Kyoto Protocol) of the Argentine Production Chain (APC). Originality The experimental IC index and this novel combination allow incorporating objective (incremental) and subjective (acceptance, hierarchy and uncertainty) evaluation of the APC. This method is extended in this paper (to other operators). Research method The ICs are applied to attribute graphs in two scenarios (APC and society), that are obtained from the combination of Fuzzy Decision Making (FMD), Analytic Hierarchy Process (AHP) and PSO with the Algebraic (AP), Generic Hamacher (GHP and PHP) and Einstein (EP) products. Main findings (i) The coherency of the new ICs is demonstrated by mathematical and graphical analysis; (ii) The most demanding operators are the EP and HP. Implications for theory and practice It contributes to establish mechanisms for regulation of the APC. Intrinsic price Kyoto Protocol APC . (APC) incremental (incremental acceptance, acceptance (acceptance uncertainty operators. operators) society, society , society) FMD, FMD (FMD) AHP (AHP AP, AP (AP) GHP PHP (EP products i (i analysis ii (ii HP (FMD (AP

Abstract Paper aims We investigate the drivers and barriers for the traceability digitalisation of the Australian construction supply chain. Originality There is a growing interest in the construction industry for embracing digital technologies. Nevertheless, the digital transition in construction industry is still slow, especially for addressing material traceability. Research method An exploratory-empirical study was conducted in which we performed the following steps: (i) definition of selection criteria; (ii) semi-structured interviews with 26 experts (academics, practitioners and stakeholders); and (iii) content analysis and propositions. Main findings Results allowed the identification of the most critical drivers and barriers for such traceability digitalisation, being consolidated in a conceptual framework that characterises the early and late adopters of digital technologies in the construction supply chain. Implications for theory and practice In theoretical terms, when considering the barriers/challenges, the degree to which the digital traceability's results are visible to the adopters seems to be an important issue, being able to impair the digitalisation of the construction supply chain. From a practical perspective, the more companies advance in the traceability digitalisation, the more aware they will become regarding its drivers/benefits and barriers/challenges. Nevertheless, some highly critical drivers/benefits and barriers/challenges were equally perceived by both early and late adopters. chain Nevertheless slow exploratoryempirical exploratory empirical steps i (i criteria ii (ii semistructured semi structured 2 academics, academics (academics stakeholders stakeholders) iii (iii propositions terms barrierschallenges challenges traceabilitys s issue perspective driversbenefits benefits

Abstract Paper aims To predict monthly corn, soybean, and sugar spot prices in Brazil using hybrid forecasting techniques. Originality This study combines the Singular Spectrum Analysis with different forecasting methods. Research method This paper presents a set of hybrid forecasting approaches combining Singular Spectrum Analysis (SSA) with different univariate time series methods, ranging from complex seasonality methods to machine learning and autoregressive models to predict monthly corn, soybean, and sugar spot prices in Brazil. We carry out a range of out-of-sample forecasting experiments and use a comprehensive set of forecast evaluation metrics. We contrast the performance of the proposed approaches with that of a range of benchmark models. Main findings The results show that the proposed hybrid models present better performances, with the hybrid SSA-neural network approach providing the most competitive results in our sample. Implications for theory and practice Forecasting agricultural prices is of paramount importance to assist producers, farmers, and the industry in decision-making processes. corn soybean techniques SSA (SSA outofsample sample metrics performances SSAneural neural producers farmers decisionmaking decision making processes

Abstract Paper aims This paper aims to discuss how Remote Collaboration Tools (RCT) can support and contribute to Action Research (AR) applications in operations management research. Originality Researchers shall capture the complexity of studied phenomena when conducting AR. Although, there is a lack of information regarding the use of RCT in AR. Hence, this paper provides original and comprehensive guidelines for the application of RCT in AR. Research method This paper provides an ex-post analysis of two face-to-face AR cases, based on the steps proposed by Coughlan and Coughlan (2002). Based on the ex-post analysis, it explains ex-ante and how RCT can impact and contribute to AR on operations management. Main findings The paper presents reflections, insights and guidance about the impacts of RCT in AR. RCT allow possibilities for continuity and efficient use of resources in AR. Although, when choosing RCT, special efforts should be put into team building and engagement. Implications for theory and practice The description of how the RCT can be used in the AR cycle can contribute to theory based on empirical results as guidance to increase value considering AR quality criteria. We intend to provide material for the advance of the field of Operations, Production and Management, theoretically and practically. (RCT (AR research Although Hence expost ex post facetoface face cases 2002. 2002 . (2002) exante ante reflections engagement criteria Operations Management practically 200 (2002 20 (200 2 (20 (2 (