Search results

The purpose of this paper is to empirically test the dairy production barriers: lack of cooperation between the chain actors, milk quality deficiencies, rural exodus and, productivity limitations in southern Brazil, based on Santa Catarina’s dairy production ecosystem players perceptions.

From inquiry result analysis with 305 dairy sector experts, the authors performed statistical tests using the technique of factorial analysis and confirmatory factorial analysis to confirm and/or refute the dairy production barriers presented by Bonamigo et al. (2016b).

The results confirmed the presence of the barriers presented by Bonamigo et al. (2016b). The barrier lack of cooperation between the chain actors is presented as the biggest obstacle in the sector, according to the interviewees. The authors also found that rural exodus is the barrier with the smallest impact on the dairy sector development in relation to other barriers presented by Bonamigo et al. (2016b). The confirmation of these barriers in practice allows developing new studies to eliminate and/or mitigate these barriers of the dairy sector. Furthermore, the study might shed some light on dairy production activities and help improve management skills.

This study does not cover all the players that make up the dairy production ecosystem. It is limited only to the main players that are inserted in this sector. The authors observed the lack of data characterizing the dairy production system in Santa Catarina.

This study presents theoretical and practical contribution. By the confirmation that these barriers are present in the field, it is possible to direct new studies that seek to mitigate them and results in dairy production improvements. As for the practical contribution, the confirmation of those barriers can serve as a basis for the dairy sector decision-making actors, such as government, research institutions, and extension, producers, cooperatives, among others, and assist them in developing strategic actions that concern a cooperative way to develop the whole sector.

The purpose of this study is to recognize the empirical inhibitors of knowledge management (KM)in value co-creation in the dairy production context.

This study undertook a qualitative multiple-case study strategy. The datas collected comes from five players in the dairy sector that jointly co-create value. In addition to in-depth interviews with the actors, this study considers complementary documents, with reports, management flowcharts. Content analysis was conducted based on Bardin (2011).

This study identified three empirical barriers for KM in managing value co-creation in dairy production. The inhibitors observed were related to ineffective communication among stakeholders, organizational culture and high competitiveness. This study identified that sharing and KM among actors is a way to stimulate innovative solutions via value co-creation in dairy production.

This study explores the context in the Center-South of Brazil; therefore, it is not generalizable.

The findings help the managers to deal with the KM inhibitors in the value co-creation context and define actions based on the strategies listed to overcome the barriers identified in dairy production. This study can also help managers to change the mindset of organizations by adding KM to the organizational culture, as it identifies existing barriers in the sector and contributes by suggesting attitudes and tools capable of overcoming such difficulties.

Professionals in the dairy sector, especially the small rural producer, can have access to knowledge and professional training through the value co-creation among actors in the dairy sector. In this sense, the milk quality, for example, the nutritional characteristics and traceability of the milk, can be improved for the final consumer.

This study reveals the empirical inhibitors of KM presents in the value co-creation in the dairy production context. Additionally, insights to deal with the lack of sharing information and knowledge among multiple actors.

The purpose of this paper is to verify if, in the dairy business ecosystem (dairy farmers, dairy cooperatives, government, research agencies, consultants and financial institutions) perspective, the dairy production barriers presented by Bonamigo et al. (2016b) can be mitigated through the dairy production key factors indicated in the literature.

To achieve the proposed goal of this study, the methodology used for the study comprises three stages: exploratory search in the literature to identify barriers and drivers of dairy production, data collection and statistical model. For the first stage, the authors conducted exploratory research in the literature, to better understand the dairy production ecosystem and to find arguments that characterize the barriers and drivers of this activity. In the second stage, a structured questionnaire with 13 closed-ended questions in a single block, with ordinal responses, following the suggestion of Likert (1932), was developed and applied to the dairy production ecosystem players of Santa Catarina, Brazil. A total of 305 responses suitable for analysis based, that were analyzed through an exploratory factorial analysis and modeling of structural equations via partial least squares, resulting in the Statistical model.

Based on the analyses results, the authors verified that there is an inverse association between the characteristics of the barriers and the dairy production key factors. In this sense, the authors can confirm that the increase of the loads in the dairy production key factors, reduce loads of the milk production barriers. Based on the results of this test, new theoretical and practical insights can be identified to develop new studies with the aim of boosting the dairy sector development as well as providing support in the decision making of the dairy system players.

This study may not have enabled a complete coverage of all existing peer-reviewed articles in the field of dairy production. It seems reasonable to assume that the review process covered a significant proportion of studies available.

It is the first study that compares identifies barriers and key factors of dairy production in Santa Catarina using as an analytical lens the business ecosystem.

This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.

Data collection were carried out through a questionary application with 126 professionals linked to the dairy ecosystem, including milk producers, milk cooperatives and milk transporters. The data were analyzed using Cluster Analysis, Mann-Whitney test and Chi-Square test.

A strong relation was found between the use of Lean 4.0 tools and the increase in operational performance, in addition to milk quality. Moreover, it can be noted that the use of digital technologies from Industry 4.0 has a strong relation with dairy production optimization, in other words, it is possible to be more efficient in the dairy process via Lean 4.0 adoption.

The study is limited to analyzing the Brazilian dairy ecosystem. The results presented may not reflect the characteristics of the other countries.

Once the potential empirical impacts of the relation between Lean 4.0 and value co-creation are elucidated, it is possible to direct strategies for decision-making and guide efforts by researchers and professionals to deal with the waste mitigation present in the dairy sector.

Lean 4.0 proves to be a potential solution to improve the operational performance of the dairy production system. Lean 4.0, linked to value co-creation, allows the integration of the production sector with consumers, through smart technologies, so new services and experiences can be provided to the consumer market. Additionally, the consumer experience can be stimulated based on Lean 4.0, once the quality specification is highlighted based on data science and smart management control.

To the best of the authors’ knowledge, this is the first study that analyzes the interrelationship between the Lean 4.0 philosophy and the value co-creation in the dairy ecosystem. In this sense, the study reveals the main contributions of this interrelation to the dairy sector via value co-creation, which demonstrates a new perspective on the complementarity of resources, elimination of process losses and new experiences for the user through digital technologies integrated with the Lean Thinking approach.

The purpose of this paper is to identify the main criteria for selecting actors to compose these business platforms and addressing the co-creation of value and improve the performance of startups.

The methodology is based on the search for key factors for the selection of actors and the understanding of co-creation of value and the concept of startups. The content of this paper is substantiated on an extensive review of the literature related to the subjects’ value-cocreation and new startups, and the review is based on the articles found in the databases of Ebsco, Emerald, Science Direct, Scopus, Village and Web of Science.

This paper identifies the main key-factors found in the literature for selecting actors to co-create value in startups and organizes the findings in five categories: value creation, interaction, actor behavior, client and partnership. It also presents the possibility of future research that will be able to put the study in practice.

The results of this research have not been tested empirically, which opens the door for future studies that can prove the effectiveness of the findings. It is also important to mention that there are few articles in the literature that directly address this topic, and some definitions of actor/co-creation of value/business model may also change.

The selection criteria of the actors listed are useful for service entrepreneurs and managers to assist in decision-making at the stage of choosing their partners for value co-creation in startups. Furthermore, it involves mitigating waste in startups and maximizing the economic gains of partners through value co-creation in startups.

This study is one of the first attempts to recognize the key factors for selecting actors to co-create value in startups, aiming at their success in the market.

This paper aims to identify the facilitators and inhibitors of Lean Service 5.0 from a knowledge management perspective.

First, it was conducted a systematic literature review based on the systematic search flow method of Ferenhof and Fernandes (2016), and finally, the authors conducted a content analysis based on Bardin (2011).

A total of five facilitators were found in the literature: digital transformation, structured communication flow, top management commitment, training and team commitment; and four inhibitors, among them: sociocultural problems, limited knowledge, negative impacts of top management commitment and lack of integration between technologies, that interfere at knowledge management. Based on the findings, a framework that correlates facilitators and inhibitors of Lean Service 5.0 by the knowledge management view was constructed.

The systematic review conducted is not limited to one specific area of service sectors and/or research area. The content analysis can present limitations of content in the function of disponibility and detailment of information presented in the paper analyzed.

The findings in this research and the framework developed allow to provide support to people managers and decision-makers at organizations, in other to formulate strategies to encourage Knowledge Management in service organizations, as well as mitigate inhibitors to the adoption of Lean Service 5.0 in organizations. Furthermore, the findings of this study can provide support to develop procedures, techniques and metrics for the maturity of Lean Service 5.0 from a Knowledge Management perspective.

The findings point that people management and culture development turned to continuous improvement by the dissemination of knowledge has been shown as a key element to the success of Lean Service 5.0. Thus, the development of people skills to explicit knowledge is a crucial factor in dealing with inhibitors of lean management in service organizations.

To the best of the authors’ knowledge, this is the first paper that identifies facilitators and inhibitors to adopting and managing Lean Service 5.0 from a knowledge management view; besides, presents a framework to guide service professionals in the implementation and maintenance of Lean Service 5.0.

This study aims to analyse the setup time management using the single-minute exchange of die (SMED) method in 24 h Emergency Care Units (ECUs).

A total of 1,098 reports in A3 form format were analysed and grouped into analysis categories to evaluate the implications of SMED in managing setup time in the 24 h ECUs. The content analysis was based on Bardin (2011). The findings were grouped into three categories.

The findings demonstrate the contributions of the Lean Healthcare approach in the 24 h ECUs through SMED analysis to reduce setup time in activities characterised as waste in 24 h UPAs.

In this study, data were collected directly from the Good Practices Application, from a specific project conducted in ECUs, which could generate selection bias. Finally, the datas were categorised according to the categories defined a posteriori, which may lead to interpretation bias.

The implications listed from the SMED perspective for setup time management allow us to guide managers, consultants, researchers, and health professionals to provide continuous improvement in 24 h ECUs. The findings can serve as a basis for reducing configuration time in other public and private healthcare service organisations.

SMED applied in 24 h ECUs makes it possible to improve emergency services provided to society and increase the capacity to care for patients and society in general. In addition, reducing costs for health service financiers, such as government and private institutions.

To the best of the authors’ knowledge, this is the first study that correlates the setup time management of the SMED method in crucial areas of 24 h ECUs, demonstrating opportunities for its application in reducing time in patient journeys. The findings show the benefits of Lean in these environments and highlight several opportunities for applying SMED to reduce setup in activities characterised as waste in 24 h UPA. SMED allows for improved operational excellence in emergency units and enables target opportunities to increase user satisfaction and service capacity.

In response to strict regulations, high customer pressure, climate change and scarcity of natural resources, manufacturers have reassessed their operation and performance strategies to balance the sustainability and competitiveness needed to pursue a long-term competitive advantage toward an endurable business. The purpose of this paper is to fill the gap between lean and sustainability, analyzing the sustainable lean manufacturing (SLM) effect on performance in the Brazilian automotive sector.

This study divided the performance into Triple Bottom Line (TBL) drivers: Economic, Social and Environmental, and developed six hypotheses for assessing the multidimensional performance of SLM organizations. Empirical data was collected with 127 usable responses, and the models were tested using partial least squares structural equations modeling. The results of this study are valid and adequate models and revealed that environmental, operational and social performance are significantly improved through SLM adoption in Brazilian automotive studies. In addition, analyze the interaction among the TBL’s drivers.

The results revealed positive and direct improvements in economic, social and environmental performance enhanced LM adoption. In addition, the results obtained in this study reveal that social drivers are more sensitive to prejudice due to simultaneous other driver improvements overlapping the workforce.

These findings are beneficial for company leaders and researchers working to improve the organization’s performance in these drivers, especially within companies in developing countries. These results explored different aspects of performance evaluation supporting a holistic view of the organization toward sustainability performance. Also explored different regulations and incentives for automotive companies that comply with specific sustainable goals.

In response to mounting global concerns about climate change and scarcity of natural resources, manufacturers have been pressured to develop strategies and enhance their sustainability performance. The integration of sustainable lean manufacturing (SLM) during value chain processes could balance environmental, social and economic concerns into their decision-making, which not only ensures responsible practices but also drives efficiency and success. This paper aims to identify, measure and prioritize metrics to develop a performance measurement system that assesses the multi-dimensional performance of SLM.

Strategic decision-making has some conflicting criteria and objectives to be considered simultaneously. The Multi-Criteria Decision Making provides a foundation for selecting, sorting and prioritizing these strategies with the determination of drivers and indicator weight.

The performance model enables the decision-makers to consistently evaluate the level of sustainability through a multidimensional framework, which could support the assessment of the existing sustainability of a manufacturing process and analyze opportunities for improvement. This study divided the performance into five drivers: Quality, Operational, Finance, Environment, Safety and People and selected 17 KPIs for assessing the multi-dimensional performance of SLM organizations. The research results revealed an organization's perspective transition from strategies focused on operational and economic performance to a more sustainable ideal with greater importance for social and environmental directions.

This framework will be facilitated by the selection of the most significant drivers and the development of strategic plans for the successful adoption of sustainable manufacturing. The practices support implementation, pursue competitive advantages and sustain manufacturing, meeting strategic requirements of suitable and lean performance. With the limited resources of the organizations, the framework proposed will guide the priorities and actions to be taken toward the SLM.

The purpose of this study is to recognize the facilitators and inhibitors of value co-creation in the industrial service environment.

First, a systematic literature review (SLR) based on the systematic search flow (SSF) method was conducted, using six databases. Then, the content analysis proposed by Bardin (2011) was used to analyze the selected papers from SLR.

The authors identified a total of 11 facilitators and four inhibitors of value co-creation in industrial services. The findings show that concerning facilitators, the involvement of actors and synergy among participants reported a higher presence. As for the inhibitors, incompatibility among actors and actors' inexperience in the context of value co-creation were the ones that registered the most frequency.

Even though the SLR covered a large proportion of the studies available, this research may not have enabled a complete coverage of all existing peer-reviewed papers in the field of value co-creation in industrial services.

This study assists managers in enhancing the performance of the value co-creation process. This is because, by knowing both the facilitators and inhibitors, managers can have an improved understanding of this process, thereby pondering these elements on the elaboration of their strategies and decision-making.

This study is one of the first attempts to recognize both the facilitators and inhibitors of value co-creation in industrial services.