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Research and development (R&D) projects are often pursued through a project portfolio (PP). R&D PPs involve many stakeholders, and without proactive management, their interactions may lead to conflict risks. These conflict risks change dynamically with different stages of the PP life cycle, increasing the challenge of PP risk management. Existing conflict risk research mainly focuses on source identification but lacks risk assessment work. To better manage the stakeholder conflict risks (SCRs) of R&D PPs, this study employs the dynamic Bayesian network (DBN) to construct its dynamic assessment model.

This study constructs a DBN model to assess the SCRs in R&D PP. First, an indicator system of SCRs is constructed from the life cycle perspective. Then, the risk relationships within each R&D PPs life cycle stage are identified via interpretative structural modeling (ISM). The prior and conditional probabilities of risks are obtained by expert judgment and Monte Carlo simulation (MCS). Finally, crucial SCRs at each stage are identified utilizing propagation analysis, and the corresponding risk responses are proposed.

The results of the study identify the crucial risks at each stage. Also, for the crucial risks, this study suggests appropriate risk response strategies to help managers better perform risk response activities.

This study dynamically assesses the stakeholder conflict risks in R&D PPs from a life-cycle perspective, extending the stakeholder risk management research. Meanwhile, the crucial risks are identified at each stage accordingly, providing managerial insights for R&D PPs.

This research aims to examine the challenges of recruiting participatory action research (PAR) in managing innovation projects. An enhanced methodology based on PAR was developed to mitigate the challenges related to recruiting PAR in managing innovation projects. The proposed methodology was evaluated by comparing it to established methodologies/frameworks such as Scrum, Design Thinking (DT) and The Lean Startup (TLS). The evaluation aimed to determine the advantages and limitations of the proposed methodology in managing innovation projects.

The proposed enhanced methodology consists of eight steps, ranging from developing an understanding of the industry and business structure to learning and knowledge management. In addition, the enhanced methodology uses other techniques, such as Force field analysis and 12 boundary questions.

The research findings indicate that using the proposed methodology can improve the formalization of collaboration in PAR, enabling the organization to respond better to market changes. It helps define the project scope more clearly, encouraging innovation, addressing communication barriers and considering different worldviews and practical issues. Based on the findings, the proposed enhanced methodology could complement other methodologies/frameworks such as Scrum, DT and TLS.

The current research adds to the existing literature by identifying the challenges of recruiting PAR in managing innovation projects. A deductive reasoning process was utilized because there is no comprehensive research concerning the challenges of recruiting PAR in managing innovation projects. On the other hand, the PAR 4-phase cycle has been reviewed and enhanced to manage innovation projects.

The proposed methodology was used in a new product development project. The case study was done on one of the payment service provider companies that design, develop and deploy a digital product for marketing, installation, repair and maintenance of electronic funds transfer at point of sale devices.

No research has yet sought to identify the challenges of using PAR in innovation project management (IPM). Identifying the challenges associated with applying PAR in the IPM and providing an enhanced methodology to mitigate the challenges could fill a gap in IPM studies.

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&D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&D as a strategy to invigorate innovation. R&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&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&D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&D projects with the organizational vision and mission.

This article proposes a new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps.

The proposed strategy plane helps decision-makers align R&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.

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&D projects.

Through the action research study, this paper aims to examine how e-portfolios improve students’ critical, reflective and creative thinking as part of higher-order thinking skills (HOTS). Besides, this paper also explores how e-portfolios enhance students’ speaking skills. The study is carried out to improve the current state by identifying and solving problems in specific contexts.

This investigation was designed to seek the improvement of the students’ higher-order thinking and speaking skills after the implementation of the e-portfolio. Action research was chosen because action research is suitable to bring change and improvement in the system or assume to bring progress in the system. This study was designed in two phases, featuring reflection and connection between previous and new data.

By completing this action research study, the authors assisted students in improving their higher-order thinking and speaking skills. The improvement was related to the indicators for learning success, which were explained in this research. The HOTS criteria include the capacity to analyze essential facts and arguments that the students presented in their spoken works logically and critically.

HOTS encompasses critical, logical, creative and metacognitive thinking skills. Future research should go further into the usage of e-portfolios in the development of students’ metacognitive capacities. Moreover, because this investigation was carried out using action research methods, it is crucial to recognize that no generalizability can be offered for the findings.

The study’s findings should also benefit practitioners and instructors endeavoring to enhance students’ e-portfolios, critical thinking and digital skills in the classroom.

The discussion focuses on important development topics. Everyone, not just students, should be encouraged to participate in creating and developing our technological future. The analysis offers unique and essential perspectives into what to explore for such a substantial attempt as implementing digital technology, specifically to construct an e-portfolio.

Despite the widespread usage of e-portfolios in English as a foreign language (EFL) instruction, there is a lack of research on how e-portfolios can enhance EFL students’ HOTS and speaking abilities. Hence, this study addresses a deficiency in existing research by examining the potential of e-portfolios to enhance students’ HOTS and oral communication skills within the context of EFL.

This paper proposes selecting a construction project portfolio in the context of a public institution, which makes it possible to assess quantitative and qualitative criteria, thereby meeting the needs of the institution and the existing constraints.

The research design follows a framework using technique for order preference by similarity to ideal solution (TOPSIS) associated with integer linear programming.

The method involves a flow of assessments allowing criteria and weights to be elicited where outcomes are based on the experts' intra-criteria assessment of alternatives and decision-makers' inter-criteria assessment. This is of utmost interest to public organizations, where selections must result in benefits and lower costs, integrating the experts' technical and management perspectives.

Public institutions are characterized by having limited financial and personnel resources for project development despite having a high demand for requests not associated with profits, making it essential to have a framework that enables using multiple criteria to better evaluate the benefits related to these decisions.

The main contributions of this article are: (1) the proposition of a framework for selecting construction project portfolios considering the organization's strategic needs; (2) identifying quantitative and qualitative assessment criteria for project selection; (3) integrating TOPSIS with an optimization process for selecting the construction project portfolios and (4) providing a structured decision process for selecting the portfolio that best represents the interests of the institution within its limited resources and personnel.

The purpose of this paper is to describe this new evaluation experience with portfolio in economics, not only from the teacher’s point of view but from the student perspective, and all the learning from its implementation; to provide ideas of evaluation practices in virtual and face-to-face modality in international business education; to motivate the rethinking of assessment practices in higher education to combine the best of each modality in the future.

The present work is a case study based on a qualitative description of the implementation of a portfolio as an assessment practice, supported by a reflection questionnaire with students’ perceptions and some elements of metacognition. The first section summarizes the literature used as a theoretical framework of this work. The second section describes the portfolio implementation by analyzing teachers and students reflections with a qualitative approach. The third section presents the findings. The fourth section is a discussion of findings, practical implications, limitations and future research directions. Finally, the conclusions of the work are shared.

Because the portfolio has had overwhelming results to assess what students have learned during the pandemic, it has become the learning and assessment tool after the pandemic, as it transforms the classes experience by shifting the focus from traditional examinations to more comprehensive, personalized and reflective ones. It also empowers students to take ownership of their learning, develop essential skills and cultivate a deeper understanding. Among other benefits, the portfolio means the creation of a safe and supportive environment for honest reflection, the development and design of strategic directions to improve learning and lead students toward metacognitive autonomy. Reflection pieces, a critical component of the portfolio, are a vital tool in the proactive learning process, as through reflection students learn to examine their own performance and discuss strategies to enhance their success in future work.

This work began as an educational experience per se, not for research purposes, which caused it to be systematized and reconstructed in a descriptive way, not to measure quantitative results. In this way, the present work describes that the portfolio helps to achieve better results on students’ learning than traditional examinations but, as another limitation, it does not measure them nor the process. One more limitation of this work is that it was written in a postpandemic context but was implemented during the pandemic; therefore, the circumstances of writing are not the same as those of implementation, and this could also entail a certain margin of decontextualization. At the same time, this is an experience that is still in process and continually being adapted to this changed and changing educational postpandemic context.

One of the main implications of the portfolio experience, transferable to all educational contexts, is that it transforms the final exam into a metacognitive one, letting students be aware of their own process of learning and results – objectives and competences – acquired. In this way, it lets teachers witness a part of the learning process that is not so evident in the traditional assessment practices – focused on some aspect of the learning – as it makes visible the way in which students receive, process and apply content, that is to say, how they make it their own.

The portfolio promotes reflective learning and metacognition, vital skills that benefit students beyond the classroom. This can have a positive impact on societal attitudes toward education and the quality of learning. Of the students, 82% felt the portfolio creation was helpful in their personal and professional lives, suggesting a broader societal impact. The paper’s findings contribute to the body of knowledge about the effectiveness of portfolio-based assessment in higher education, especially in the worldwide transition from online education to postpandemic education. This could guide future studies in similar educational contexts or with different pedagogical innovative tools.

In light of the 2020 pandemic lockdown, this work delves into the pressing need for educators to adapt and modify their teaching approaches. The relevance of this study is accentuated by the worldwide transition from online education to postpandemic education. This paper bridges the gap between theory and practice because the research can be applied to the educational practice of any international business education context, as well as lay the foundations for future research in the field that contributes to increasing evidence of the effectiveness of the use of the portfolio to achieve significant and deep learning in higher education.

As quarterly business reviews (QBRs) remained unexplored in the scholarly community, this paper sheds light on what QBRs are, how they are being used across organisations and provides deep insights into the implementation of the QBR at an incumbent car manufacturer’s digital transformation business unit. Particular attention has been paid to decision processes, portfolio management, challenges and success factors.

Given the explorative nature of the research, a case study is well suited to explore the phenomenon in its real-world context, especially given the dynamic and volatile business environment. This article is based on insights from an incumbent car manufacturer undergoing a business-wide transformation.

The car manufacturer introduced the QBR process and themes to improve business effectiveness and efficiency through (1) focusing on the biggest issues, (2) concentrating efforts, (3) providing autonomy and stability, (4) building and maintaining strong relationships, and (5) building domain expertise. Through the QBR process, themes were (de)prioritised, resources allocated, financial value (estimates) agreed upon, and key performance indicators (e.g. £m/FTE; FTE, full-time equivalent employees) introduced. Digital product managers’ were assigned to the prioritised themes, and portfolio management structures were presented.

Managing short- and long-term objectives is challenging for most businesses but essential to perform well in uncertain environments. The QBR process can help organisations continuously (de)prioritise work and reallocate resources based on changing environments and aligned with strategic priorities.

This paper aims to minimize the mean-risk cost of sustainable and resilient supplier selection, order allocation and production scheduling (SS,OA&PS) problem under uncertainty of disruptions. The authors use conditional value at risk (CVaR) as a risk measure in optimizing the combined objective function of the total expected value and CVaR cost. A sustainable supply chain can create significant competitive advantages for companies through social justice, human rights and environmental progress. To control disruptions, the authors applied (proactive and reactive) resilient strategies. In this study, the authors combine resilience and social responsibility issues that lead to synergy in supply chain activities.

The present paper proposes a risk-averse two-stage mixed-integer stochastic programming model for sustainable and resilient SS,OA&PS problem under supply disruptions. In this decision-making process, determining the primary supplier portfolio according to the minimum sustainable-resilient score establishes the first-stage decisions. The recourse or second-stage decisions are: determining the amount of order allocation and scheduling of parts by each supplier, determining the reactive risk management strategies, determining the amount of order allocation and scheduling by each of reaction strategies and determining the number of products and scheduling of products on the planning time horizon. Uncertain parameters of this study are the start time of disruption, remaining capacity rate of suppliers and lead times associated with each reactive strategy.

In this paper, several numerical examples along with different sensitivity analyses (on risk parameters, minimum sustainable-resilience score of suppliers and shortage costs) were presented to evaluate the applicability of the proposed model. The results showed that the two-stage risk-averse stochastic mixed-integer programming model for designing the SS,OA&PS problem by considering economic and social aspects and resilience strategies is an effective and flexible tool and leads to optimal decisions with the least cost. In addition, the managerial insights obtained from this study are extracted and stated in Section 4.6.

This work proposes a risk-averse stochastic programming approach for a new multi-product sustainable and resilient SS,OA&PS problem. The planning horizon includes three periods before the disruption, during the disruption period and the recovery period. Other contributions of this work are: selecting the main supply portfolio based on the minimum score of sustainable-resilient criteria of suppliers, allocating and scheduling suppliers orders before and after disruptions, considering the balance constraint in receiving parts and using proactive and reactive risk management strategies simultaneously. Also, the scheduling of reactive strategies in different investment modes is applied to this problem.

The Maintenance Management Framework for Asset Management (MMFAM) is a recently modeled framework to ensure the alignment of maintenance management with physical asset management based on the ISO 55000 series for asset management. In this context, the purpose of this paper is to discuss the applicability of the MMFAM considering the operational context of a hydroelectric power plant.

The paper adopted the case study method for the discussion of the applicability of the MMFAM to a real operational context. A hydroelectric power plant was chosen as the scope of the case study due to its relevance since the electricity sector is an example of an asset-intensive industry in which asset management performance is fundamental. To gain a detailed understanding of the organization, data were collected through direct requests to the plant, informal meetings with technical collaborators, a technical visit to the hydroelectric plant and on-site data collection. Then, the MMFAM processes were demonstrated based on this information and the results supported the discussion of the MMFAM applicability.

The case study provided a deeper understanding of the processes included in the MMFAM. In addition, the results suggested the applicability of the framework to other organizations besides the hydroelectric sector due to its generic approach and the possibility of choosing appropriate tools to support and implement the MMFAM processes.

The case study is expected to contribute to the practical understanding of the MMFAM processes within an operational context and assist maintenance professionals and researchers in their implementation in other organizations.

Although the literature provides different maintenance management frameworks, their practical discussion based on a real operational context is still a gap. Accordingly, this paper discusses the MMFAM under a case study method to expand its understanding beyond theory and contribute to practical comprehension in depth.

This study examines the Robo-Advisors (RA) based on Artificial Intelligence (AI), a new service that digitises and automates investment decisions in the financial and banking industries to provide low-cost and personalised financial advice. The RAs use objective algorithms to select portfolios, reduce behavioural biases, and improve transactions. They are inexpensive, accessible, and transparent platforms. Objective algorithms improve the believability of portfolio selection.

This study adopts a qualitative approach consisting of an exploratory examination of seven different RA case studies and analyses the RA platforms used in the banking industry.

The findings provide two different approaches to running a business that are appropriate for either fully automated or hybrid RAs through the realisation of two platform model frameworks. The research reveals that relying solely on algorithms and not including any services involving human interaction in a company model is inadequate to meet the requirements of customers in decision-making.

This study emphasises key robo-advisory features, such as investor profiling, asset allocation, investment strategies, portfolio rebalancing, and performance evaluation. These features provide managers and practitioners with new information on enhancing client satisfaction, improving services, and adjusting to dynamic market demands.

This study fills the research gap related to the analysis of RA platform models by providing a meticulous analysis of two different types of RAs, namely, fully automated and hybrid, which have not received adequate attention in the literature.