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The purpose of this paper is to support the management of organizational knowledge retention through a multi-criteria decision aiding–constructivist model.

This exploratory and descriptive case study presents a decision support model guided by the constructivist approach and proactive in its operationalization.

The objectives and concerns of decision-makers regarding the retention of organizational knowledge are identified and organized into six strategic areas of concern, namely, recognition, knowledge dissemination, organizational culture, succession of professionals, management of vulnerability origins and knowledge management; a multi-criteria model is constructed and operationalized by a cluster of cardinal scales, showing and measuring the status quo of the performance profile, both in a local and global way, to support the management of the organization's knowledge retention; activities are classified into three performance levels (compromising, competitive and excellent), supported by graphical and numerical evidence; and the process to generate actions to improve the performance of critical activities and create the conditions to maximize the results of the organization is illustrated.

Based on the model, decision-makers are now aware of the essential aspects to support knowledge retention management, enabling them to monitor the current situation and proactively respond to ensure that the current knowledge potential is maintained and exploited.

Use of a constructivist approach to support the management of knowledge retention, incorporating into the model the specifics of the context and the values of its managers, and thus giving it legitimacy.

This study aims to examine the characteristics of scientific publications that address the management of higher education institution (HEI) libraries from a sustainability perspective, through a bibliometric analysis, to contribute to the development of knowledge and to identify opportunities for further research.

The knowledge development process-constructivist instrument was used to select a portfolio of 24 articles that are scientifically acknowledged and aligned with the theme “Sustainable Management of Libraries in Higher Education Institutions” and delimited by the authors. This study, guided by a constructivist perspective, was carefully conducted to discern selections that differ from traditional definitions. The analysis followed a qualitative approach and used the following variables: fruitful authors, connection networks between authors and vision of sustainability (the degree of dimensional coverage).

The analysis of the literature highlighted the partnerships of authors from countries belonging to the American continent as the most involved in research on the subject and the evolution from a one-dimensional view – centred on the environment – to a multidimensional view.

The understanding is that library management in HEIs, from a sustainability perspective, is an essential aspect of institutional legitimacy for the stakeholders. Therefore, sustainability should be treated in a multidimensional way and integrated with the institution’s values.

The purpose of this paper is to collect data and select a bibliographic portfolio (BP) of the literature on the performance evaluation of business process management (BPM) governance, in order to highlight studies aligned with business process governance, and with scientific recognition and its bibliometric parameters.

The research method is qualitative and the process of identification, selection, and analysis of the articles in the BP took place through evaluation and interpretation by the authors of this research. Regarding data collection, this research used primary data in the selection of the BP, and secondary data when the authors analyzed the articles.

The paper selects a set of 19 articles with scientific recognition and aligned with the research topic, which refers to the performance evaluation of BPM governance. This set is called the BP, and highlights and contains the most often present journals, articles, authors, and keywords found in the search performed by the authors.

This research uses thorough procedures for the selection process that differ from traditional procedures: the selection process is structured in a way that allows checking of each research stage; the research topic is fragmented into many areas of study and the search is carried out simultaneously in all these areas; and the researchers interact with the search process and as they expand their learning they adjust the search direction.

Identify the criteria/KPIs to support managers during human resource allocation based on knowledge demand, which serves as a decision support tool to help maintain organizational competitiveness.

Human resource allocation in a project management model, based on knowledge demand and using a multi‐criteria decision aiding method as an intervention instrument.

Three major areas of concern were identified. In all, 76 KPIs to explain concerns associated with the values of the manager, and develop cardinal and ordinal scales for each descriptor and integrate compensation rate. Further, he was allowed to implement and evaluate the current performance of the analyzed engineer, with 44 points on a cardinal scale, and provide a model with improved actions that raised his assessment to 55,67.

The Multi‐Criteria Decision Aiding‐Constructivist methodology (MCDA‐C) emerges as a traditional MCDA method to support decision makers in the contexts where they have a partial understanding and wish to increase their knowledge of the consequences of their values and preferences. In addition, these managers will also need to utilize time management, as people issues in the place of other functions have been highlighted in numerous published articles over how the management of human resource allocation can influence the competitive performances of an organization.

The innovation expected by clients is identified as a business success factor of industrial companies in the current decade and the accountability of it is primarily attributable to Research and Development (R&D), which makes it a strategic topic for studies on the decision-making process. In light of this, the purpose of this paper is to present a decision aiding methodology used to support R&D management in the technology-based company, specialised in refrigeration solutions and world leader in the hermetic compressor market.

It is an exploratory study and has deductive-inductive logic and uses a quail-quantitative approach. It uses the Knowledge Development Process Constructivist (ProKnow-C) to systemically revise the literature surrounding the theme in order to identify research opportunities in the subject and adopts the Multi-Criteria Decision Aiding Constructivist (MCDA-C) methodology as an instrument of organisational performance evaluation to fulfil the research opportunities identified.

In the theoretical aspect, this research fulfilled the opportunities observed in recent and qualified literature about R&D performance evaluation. The paper also offers practical implications for the performance evaluation in R&D, since the methodology allowed the R&D manager to build knowledge to understand the consequences of his decisions in the criteria deemed important by himself.

The importance of this work covers academic and practical interests, as it documents the application of MCDA-C and increases knowledge concerning R&D management, whilst developing a recurrent tool of decision aiding in the context of the company studied.

The purpose of this paper is to develop a performance evaluation model for the operations of the supply chain of an organization of the refrigeration equipment sector. The tool must aid the decision maker in the performance improvement and creation of competitive advantages.

The study adopts a mixture of qualitative and quantitative approaches and applies them through a case study. The data collection was conducted through unstructured interviews and supplemented by documentary research. The applied intervention instrument is the Multicriteria Decision Aid – Constructivist (MCDA-C).

Identification, organization, ordinal and cardinal measurement and integration of the aspects of the context judged as relevant by the decision maker. In addition, it can be highlighted the current situation diagnosis and elaboration of improvement actions related to lean philosophy and advanced planning systems.

The developed model is being used to aid the decision maker in their decisions concerning the improvement of the supply chain operations.

The main contributions made by the paper resides in the proposal of solutions for fulfiling gaps identified within the supply chain performance evaluation area and in the application of the MCDA-C to a practical case.

Performance, Supply chain, Multicriteria, Decision, MCDA-C

Case study

Objetivo

El objetivo de este artículo es desarrollar un Modelo de Desempeño para las operaciones de cadena de suministro de una organización en el sector de equipos de refrigeración. La herramienta debe ayudar a quién toma las decisiones en mejorar el desempeño y crear ventajas competitivas.

El estudio usa una combinación de enfoques cualitativos y cuantitativos aplicándolos a un caso estudio. La recolección de datos se hizo a través de entrevistas no estructuradas y se complementó con investigación documental. El instrumento de intervención usado es el Multicriterio De Apoyo a la Decisión-Constructivista (MCDA-C).

Identificación, organización, mediciones ordinales y cardinales e integración de los aspectos de los contextos considerados como relevantes por el tomador de decisiones. Se puede destacar además la situación actual de diagnóstico y la elaboración de acciones de mejoramiento relacionados con la filosofía Lean y los Sistemas avanzados de planificación.

El modelo desarrollado esta siendo usado para ayudar al toma decisiones en las decisiones concernientes con el mejoramiento de las operaciones de la cadena de suministro.

La mayor contribución hecha por este artículo reside en proponer soluciones para cubrir brechas identificadas dentro el área de Evaluación de Rendimiento en la Cadena de Suministro y en la aplicación del MCDA-C a un caso práctico.

Desempeño, Cadena de Suministro, Decisión, Multicriterio, MCDA-C

estudio de caso

Objetivo

O objetivo de este artigo é desenvolver um Modelo de Avaliação Desempenho para as operações da cadeia de suprimentos de uma organização do setor de equipamentos de refrigeração. O modelo proposto deve ajudar o tomador de decisões a melhorar o desempenho e criar vantagens competitivas.

O estudo faz uso de uma abordagem qualitativa e quantitativa aplicada em um Estudo de Caso. A coleta dos dados foi feita por meio de entrevistas abertas, sendo complementada por pesquisa documental. O instrumento de intervenção usado é o Multicriteria Decision Aid – Constructivist (MCDA-C).

Identificação, organização, medições ordinais e cardinais, e integração dos aspectos do contexto são considerados como relevantes para o tomador de decisões. Além disso, destacam-se o diagnóstico da situação atual e a elaboração de ações de aperfeiçoamento, nas quais se avaliam os efeitos da implementação da Filosofia Enxuta e de um Sistema de Planejamento Avançado na organização.

O modelo desenvolvido auxilia o tomador de decisões nas decisões concernentes ao melhoramento das operações da cadeia de suprimentos.

As principais contribuições do artigo residem na proposição de melhorias em lacunas ainda presentes na avaliação do desempenho da cadeia de suprimentos e também na aplicação da MCDA-C em um caso prático.

Desempenho, Cadeia de Suprimentos, MCDA-C, Decisão, Multicritério

estudo de caso

The purpose of this paper is to know what scientific literature presents about the theme evaluation of seaport performance, thus enabling the construction of knowledge in the researchers and the identification of gaps in the research that will lead to advances in the area from the identification of the characteristics of a portfolio of relevant international publications.

From the basic philosophical (constructivism), of the kind strategy (research-action) and the method used for the accomplishment of such strategy (structured process knowledge development process – constructivist (ProKnow-C)) the current research has a qualitative approach.

From the analysis of the bibliographic portfolio composed of 23 articles, the main results were: focus of the evaluation of seaport performance is on operational and tactical efficiency rather than on strategic and global performance; the majority of the studies does not relate to the reality experienced by seaport managers due to the limited interaction with these managers, evidencing a distance of the researchers from the object of their research; and performance evaluation was barely used/explored as a tool to support management, only for the sake of evaluation itself.

The search occurred in the databases Web of Science, Scopus, Proquest, Ebsco, Sciece Direct and Wiley.

The identification of gaps that might promote advances in this field of knowledge, once the seaport segment is not exploring the potential that performance evaluation can offer and is already available in literature.

The objective of this paper is to develop a methodology and a framework to assess performance measurement and generate a better understanding of the project context. The paper aims to present an application to illustrate the proposed methodology, to identify and measure the success parameters for a project.

The research method is a mixture of qualitative and quantitative and it is applied to a case study. The primary data were gathered using unstructured interviews with decision makers. Bibliographic research is used in order to construct the theoretical framework and the intervention instrument adopted is the multicriteria decision aiding methodology – constructivist (MCDA‐C).

The methodology makes it possible to visualize the criteria that must be taken into account according to the decision makers' values in the project selection process. The framework supports the ordinal and cardinal measurement of the project performance, making it possible to compare and rank proposals, as well providing a process to improve project proposals.

This process has helped in negotiations between stakeholders in the project, and, consequently, has helped the chief project officer to select and prioritize strategic projects within the demand for new products.

This paper offers an empirical understanding of the application of performance evaluation to project management and identifies a complementary tool in this interdisciplinary area.

The main aim of this paper is to present a framework to create a better understanding of the context and aid the portfolio management process. The paper seeks to present a case to illustrate the proposed methodology, identifying and measuring the success parameters for a project in a portfolio.

The research method is a qualitative and quantitative mixture and it is presented as a study case. The primary data were obtained using semi‐structured interviews with decision makers. Bibliographic research is used in order to construct the theoretical framework and the intervention instrument adopted is the multicriteria decision aiding methodology – constructivist (MCDA‐C).

The methodology allows the criteria that must be taken into account, according to the decision makers' values and preferences in the project selection and sorting processes, to be visualized. The framework supports the ordinal and cardinal measurement of the project performance, making it possible to compare and rank proposals, as well as providing a process to improve project proposals.

This process has helped in negotiations between stakeholders in a portfolio context and, consequently, has helped the chief project officer (CPO) to select and prioritize strategic projects within the demand for new products.

This paper offers an empirical understanding of the application of performance measurement to portfolio management context and identifies complementary tools in this interdisciplinary area.

The aim of this paper is to present a framework to create a better understanding of the context and to aid the environmental disclosure management process. The paper seeks to present a case study illustrating the proposed methodology for assessing environmental disclosure management.

The ProKnow‐C process is used to identify the opportunities in the literature and the MCDA‐C methodology is used in order to build up the environmental disclosure management (MED) model.

First the ProKnow‐C process was used to identify opportunities in the literature about environmental disclosure and later the MCDA‐C methodology was used to discover the opportunities and to show a process for generating actions to promote improvement in environmental disclosure.

The case study allowed the manager to develop an understanding of environmental disclosure, showing that organizational performance is the key factor according to managers' perception. This knowledge allowed the manager to identify what the company needs to improve in its environmental disclosure regarding the following aspects: targets for using water, energy program, management of effluent and waste, biodiversity, adaptation to emergency plans, training and environmental awareness, expanding the coverage of the certification process and increasing operational performance in specific indicators relating to the electricity sector (pruning control, fire and oil spill).

The structured process of the MCDA‐C methodology enabled a model to be built that showed graphically and numerically the systemic diagnosis of environment disclosure, allowing the manager to know the consequences of a decision a priori and to suggest a set of improvement actions.