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This study aims to identify the appropriate combination of attributes that must be present to deliver value in a new product for a pharmaceutical enterprise.

The application object was the Metronidazole analytical standard, using choice experiments to product attributes and price.

The practical results indicate that consumer value anticipation allows entry into the market with higher competitiveness.

Conceptually, it uses a value delivery approach, generally applied to large companies, in a case aimed at enterprises. In practice, for the enterprise studied, the value anticipation by the consumer allows entry into the market with higher competitiveness.

This study aims to propose guidelines for developing circular products based on waste recovery that are aligned with sustainable production and consumption.

A systematic literature review and case studies on circular product development were conducted. In total, 15 companies with products based on waste recovery and aligned with sustainable production and consumption goal were studied.

The results show the decisions and strategies applied at each stage of the new product development process, including the design for recycling, the use of waste as a raw material for products and the concern for reducing pollution and recovering end-of-life products.

The cases studied meet the goals of efficient use of natural resources and waste reduction by preventing, reducing, recycling and reusing waste. For practitioners, a set of guidelines is proposed to help companies develop circular products based on waste recovery.

Previous studies have not evaluated the new product development process and circularity from the institutional theory and waste valorization perspectives.

Knowledge management effects on business performances are of great importance for companies. Yet, they are still overlooked by current literature. Moreover, the use of methods for bibliometric reviews and content analysis reinforces the need for relevant work on the current state of knowledge management application. To this end, this study aims to identify the main barriers for the application of knowledge management in small and medium-sized enterprises. A research agenda is then proposed.

A systematic literature review was performed using data collection, bibliometric analysis and content analysis' steps. The sample used in this study contained 45 papers. For the bibliometric analysis, the authors used the bibliometrix (in RStudio). The content analysis was then performed to infer barriers, factors of relevance and an agenda of questions for future research.

The authors found that using knowledge management techniques to optimize business performance results in competitive advantages for small and medium-sized companies. This study contributes to both practitioners and academics by providing a list of 19 barriers, 12 factors and 36 research questions related to knowledge management in small and medium-sized companies to develop future theoretical and practical studies.

This study demonstrates the propensity and interest of small and medium-sized companies in using knowledge management. However, some barriers might make it difficult to implement this approach.

The purpose of this paper is to identify the personal values of consumers of ethical cosmetics in Brazil, using the resulting personality types to segment consumers for the development of strategies by Brazilian retailers and international players.

This study administered the psychometric Values and Lifestyles Scale (VALS) via an online survey with 302 consumers of ethical cosmetics. First, exploratory factorial analysis was employed to identify the behavior of VALS' factors within the sample. Second, cluster analysis was performed using hierarchical clustering technique in order to link demographic variables and VALS' types to form specific consumer profiles.

The study found eight VALS types in the sample respondents but with a different configuration than the original factors. They were named, respectively, “Avant-garde”, “Oriented to fashion”, “Artisans”, “Committed to morality and religion”, “Leader of a group”, “Theoretical”, “Ingenious” and “Conservative”. Results indicated a demographically homogeneous sample with personality profiles mostly placed among VALS' original factors “Experiencer”, “Thinker” and “Innovator”.

Results may vary within other cultural contexts and different means of investigation suggesting future research opportunities.

Ethical demands concerning health and environmental preservation are no longer neglectable. The study of consumers' personal values can contribute to formulate suitable retail strategies for expected demands of consumers in the ethical cosmetics segment.

These findings are expected to provide resources for decision-makers, academics, practitioners and marketers concerning several points of sensitivity in their relationship with ethical consumers.

Customer value is the key to successful innovation management. This task is considered complex and abstract. For this reason, several models have been proposed to that end, among them, Lean approaches. Lean's background has been applied to value identification, providing many benefits. This paper aims at analyzing the practices employed to identify customer value through Lean approaches.

Through a systematic literature review, the main Lean practices for customer value identification were categorized based on five main streams: (1) customer development, (2) customer value, (3) lean product, (4) lean start-up, and (5) lean innovation. These practices were organized into a framework that addresses value identification based on ideation, value prospection, requirements, construction and measurement, and value delivery.

In total, 33 practices were found to support capturing the value from the customer's perception. Additionally, a discussion is provided on the complementarity and differences between practices.

A framework is proposed to integrate the five streams and the corresponding practices for value identification. The results provide mechanisms that can benefit practitioners to better understand the value demanded by customers during innovation management. In fact, practitioners can use the proposed framework to identify value to customers in a holistic way. Academically, the results gather research on customer value and innovation management to contribute with a novel artifact for customer value identification in operations management using Lean approaches. Finally, a future research agenda on value identification is proposed.

Total productive maintenance consists of strategies and procedures that aim to guarantee the entire functioning of machines in a production process so that production is not interrupted and no loss of quality in the final product occurs. Planned maintenance is one of the eight pillars of total productive maintenance, a set of tools considered essential to ensure equipment reliability and availability, reduce unplanned stoppage and increase productivity. This study aims to analyze the influence of statistical reliability on the performance of such a pillar.

In this study, we utilized a multi-method approach to rigorously examine the impact of statistical reliability on the planned maintenance pillar within total productive maintenance. Our methodology combined a detailed statistical analysis of maintenance data with advanced reliability modeling, specifically employing Weibull distribution to analyze failure patterns. Additionally, we integrated qualitative insights gathered through semi-structured interviews with the maintenance team, enhancing the depth of our analysis. The case study, conducted in a fertilizer granulation plant, focused on a critical failure in the granulator pillow block bearing, providing a comprehensive perspective on the practical application of statistical reliability within total productive maintenance; and not presupposing statistical reliability is the solution over more effective methods for the case.

Our findings reveal that the integration of statistical reliability within the planned maintenance pillar significantly enhances predictive maintenance capabilities, leading to more accurate forecasts of equipment failure modes. The Weibull analysis of the granulator pillow block bearing indicated a mean time between failures of 191.3 days, providing support for optimizing maintenance schedules. Moreover, the qualitative insights from the maintenance team highlighted the operational benefits of our approach, such as improved resource allocation and the need for specialized training. These results demonstrate the practical impact of statistical reliability in preventing unplanned downtimes and informing strategic decisions in maintenance planning, thereby emphasizing the importance of your work in the field.

In terms of the originality and practicality of this study, we emphasize the significant findings that underscore the positive influence of using statistical reliability in conjunction with the planned maintenance pillar. This approach can be instrumental in designing and enhancing component preventive maintenance plans. Furthermore, it can effectively manage equipment failure modes and monitor their useful life, providing valuable insights for professionals in total productive maintenance.

Seaports are vital in facilitating sustainable development, and environmental, social and governance (ESG) factors significantly impact an organization’s performance. Therefore, this study aims to identify and evaluate barriers and strategies of green investments to promote ESG practices within the seaport sector.

To fulfill this aim, a systematic literature review, interpretive structural modeling and the matrix of cross-impact multiplications were applied to classification analysis.

12 barriers were prioritized and categorized by experts in a focus group to optimize efforts and define the materiality of these barriers in implementing ESG strategies within seaport companies.

The implications of this study provide an alternative approach for ESG management in the context of seaports that can be applied in different regions by experts' opinion assessment.

No prior studies assessed the barriers and strategies for green investments in ESG from the port sector perspective.