The implications of R &amp;amp; D management for organisational effectiveness: A literature review

Marafon, Alysson Diego; Ensslin, Leonardo; Lacerda, Rogério Tadeu de Oliveira; Ensslin, Sandra Rolim

doi:10.1109/itmc.2012.6306380

Cited by 4 publications

(14 citation statements)

References 63 publications

(72 reference statements)

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“…The MCDA-C methodology has demonstrated its usefulness in the process of decision aiding in other contexts such as project management (Lacerda et al, 2011b), R&D management (Marafon et al, 2012), healthcare technology management (De Moraes et al, 2010), and presented in a HRM context in this study.…”

Section: Conclusion and Recommendations For Further Researchmentioning

confidence: 86%

“…Theoretical knowledge required for the case study are dealt with in this section. The ProKnow-C process was used to conduct a systematic analysis of the literature (Marafon et al, 2012;da Rosa et al, 2012;Lacerda et al, 2012;Tasca et al, 2010).…”

Section: Perspectives On Research About Hrm and Performance Evaluationmentioning

confidence: 99%

“…In this paper, the worldview was that performance evaluation is a process to develop knowledge for a decision maker that is relevant to the specific context that he or she intends to evaluate. This is conducted through activities that identify, organize, and measure ordinally and cardinally the key performance factors, which allow the decision maker to understand the consequences of actions (Lacerda et al, 2012;Marafon et al, 2012;Ensslin et al, 2010;da Rosa et al, 2012).…”

Section: Improved Decision Aidingmentioning

confidence: 99%

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Improved decision aiding in human resource management

Ensslin

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et al. 2013

International Journal of Productivity and Performance Management

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Purpose -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. Design/methodology/approach -Human resource allocation in a project management model, based on knowledge demand and using a multi-criteria decision aiding method as an intervention instrument. Findings -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. Originality/value -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.

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Section: Conclusion and Recommendations For Further Researchmentioning

confidence: 86%

Section: Perspectives On Research About Hrm and Performance Evaluationmentioning

confidence: 99%

Section: Improved Decision Aidingmentioning

confidence: 99%

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Improved decision aiding in human resource management

Ensslin

Back

et al. 2013

International Journal of Productivity and Performance Management

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“…"performance evaluation is characterized as the process which aims to build knowledge in the decision maker regarding a specific context which he/she objectives to manage, permitting him/her to comprehend the impact of the current situation in the aspects that he/she assumes are essential to support the management decisions, through the set of the following procedures: identify; organize; measure both ordinally and cardinally; and integrate the appropriate criteria" (Lacerda et al, 2012). …”

Section: Theoretical Foundations Of Project Management Evaluationmentioning

confidence: 99%

Disclosure of the State of the Art of Performance Evaluation Applied to Project Management

Ensslin¹,

Ensslin²,

Lacerda³

et al. 2014

AJIBM

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This study aims to explore the subject of performance evaluation in project management through the selection of relevant articles on the theme and their subsequent bibliometric analysis, in order to build knowledge among researchers on the subject. The research is characterized as exploratory, descriptive, theoretical-illustrative and adopts ProKnow-C (Knowledge Development Process-Constructivist) as an intervention tool. As a result, we obtain a set of 18 publications comprising the sample of relevant articles on the topic. From this sample, we found that the International Journal of Project Management is the most aligned with the research topic and the article "Plans are nothing, changing plans is everything: The impact of changes on project success" is the most cited in the sample. This paper highlights the most prominent authors and keywords of the bibliographic portfolio.

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“…However, despite that fact that many companies recognise that these intangible elements also influence the performance of R&D activities, for Vuolle et al (2009) few organisations truly manage these and even know which elements impact the performance of the company. In this way, there is a demand for decision aiding in the context of R&D management in a way that its managers can anticipate a decision, identify relevant factors (tangible or intangible) and thus institutionalise a monitoring process, in a way that proposes continuous measures of improvement (Marafon et al, 2012b). Such demand refers to the need to use instruments that expand the decision maker's knowledge about the context from its values and preferences (Keeney, 1992(Keeney, , 1996Roy, 1994;Skinner, 1986).…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of multi-criteria decision aid methodology

Marafon

Ensslin

Lacerda

et al. 2015

European Journal of Innovation Management

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Purpose – 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. Design/methodology/approach – 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. Findings – 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. Originality/value – 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.

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The implications of R & D management for organisational effectiveness: A literature review

Cited by 4 publications

References 63 publications

Improved decision aiding in human resource management

Improved decision aiding in human resource management

Disclosure of the State of the Art of Performance Evaluation Applied to Project Management

The effectiveness of multi-criteria decision aid methodology

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