@article{53232,
  abstract     = {{<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&amp;D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&amp;D as a strategy to invigorate innovation. R&amp;D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&amp;D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&amp;D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&amp;D projects with the organizational vision and mission.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>This article proposes a new strategic approach for R&amp;D project portfolio selection using efficiency-uncertainty maps.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The proposed strategy plane helps decision-makers align R&amp;D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&amp;D projects.</jats:p></jats:sec>}},
  author       = {{Namazi, Mehdi and Tavana, Madjid and Mohammadi, Emran and Bonyadi Naeini, Ali}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  keywords     = {{Business and International Management, Strategy and Management}},
  number       = {{10}},
  pages        = {{4193--4220}},
  publisher    = {{Emerald}},
  title        = {{{A new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps}}},
  doi          = {{10.1108/bij-02-2022-0129}},
  volume       = {{30}},
  year         = {{2023}},
}

@article{53904,
  author       = {{Kaviani, Mohamad Amin and Tavana, Madjid and Kowsari, Fatemeh and Rezapour, Roghayeh}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  number       = {{6}},
  pages        = {{1929--1949}},
  publisher    = {{Emerald}},
  title        = {{{Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry}}},
  doi          = {{10.1108/bij-01-2020-0049}},
  volume       = {{27}},
  year         = {{2020}},
}

@article{53901,
  author       = {{Tavana, Madjid and Hajipour, Vahid}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  number       = {{1}},
  pages        = {{81--136}},
  publisher    = {{Emerald}},
  title        = {{{A practical review and taxonomy of fuzzy expert systems: methods and applications}}},
  doi          = {{10.1108/bij-04-2019-0178}},
  volume       = {{27}},
  year         = {{2020}},
}

@article{54175,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{1463-5771}},
  journal      = {{Benchmarking: An International Journal}},
  number       = {{4}},
  pages        = {{937--982}},
  publisher    = {{Emerald}},
  title        = {{{An optimal sequential information acquisition model subject to a heuristic assimilation constraint}}},
  doi          = {{10.1108/bij-01-2014-0008}},
  volume       = {{23}},
  year         = {{2016}},
}