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This paper explores the information needs and behaviors of undergraduate engineers.

The paper reports on a qualitative study employing semi-structured interviews with 18 students.

The study identified the types of information needs undergraduate engineers encounter while working on problem solving tasks and the strategies they use to resolve these needs. The findings reveal that students often encounter difficulties due to a lack of procedural knowledge rather than conceptual gaps or misunderstandings. Students look for step-by-step solutions to address their information needs and become more efficient problem-solvers. However, most instructors do not provide answers or solutions, leaving students uncertain about their progress and unable to correct their mistakes. Consequently, students seek information from their peers, including step-by-step solutions and access to previous course materials. They use file-sharing and instant messaging platforms like Google Drive and Facebook Messenger as covert means of seeking help, sharing solutions and engaging in coursework-related discussions.

The findings enrich the theory of information needs by delineating between conceptual and procedural information needs. These findings also underscore the significant role that classmates and friends play as sources of information. The study offers implications for conceptual development of information needs, and for instructors to provide solutions and support sharing between peers on official platforms.

The purpose of this research is to address the complex multiobjective unrelated parallel machine scheduling problem with real-world constraints, including sequence-dependent setup times and periodic machine maintenance. The primary goal is to minimize total tardiness, earliness and total completion times simultaneously. This study aims to provide effective solution methods, including a Mixed-Integer Programming (MIP) model, an Epsilon-constraint method and the Nondominated Sorting Genetic Algorithm (NSGA-II), to offer valuable insights into solving large-sized instances of this challenging problem.

This study addresses a multiobjective unrelated parallel machine scheduling problem with sequence-dependent setup times and periodic machine maintenance activities. An MIP model is introduced to formulate the problem, and an Epsilon-constraint method is applied for a solution. To handle the NP-hard nature of the problem for larger instances, an NSGA-II is developed. The research involves the creation of 45 problem instances for computational experiments, which evaluate the performance of the algorithms in terms of proposed measures.

The research findings demonstrate the effectiveness of the proposed solution approaches for the multiobjective unrelated parallel machine scheduling problem. Computational experiments on 45 generated problem instances reveal that the NSGA-II algorithm outperforms the Epsilon-constraint method, particularly for larger instances. The algorithms successfully minimize total tardiness, earliness and total completion times, showcasing their practical applicability and efficiency in handling real-world scheduling scenarios.

This study contributes original value by addressing a complex multiobjective unrelated parallel machine scheduling problem with real-world constraints, including sequence-dependent setup times and periodic machine maintenance activities. The introduction of an MIP model, the application of the Epsilon-constraint method and the development of the NSGA-II algorithm offer innovative approaches to solving this NP-hard problem. The research provides valuable insights into efficient scheduling methods applicable in various industries, enhancing decision-making processes and operational efficiency.

The study explores the extent to which business analytics can address business problems using the task-technology fit theory.

The qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.

The study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.

Extant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

Amid multiple crises and increasing volatility, sustainable development is a pressing concern. Higher Education for Sustainable Development, especially Responsible Management Education (RME), drives transformative change by fostering new perspectives on work, decision-making and leadership. Conferences serve as pivotal sustainability discussion platforms, yet many remain traditional and lack interactive student engagement. This hinders active involvement and collaborative problem-solving. The Global Goals Design Jam, a dynamic, nontraditional format explored in this study offers an alternative approach. By blending design thinking and playful learning and constructivist learning methods, the Global Goals Design Jam offers a space for collaborative and creative Sustainable Development Goals (SDGs) solutions. At the ninth Responsible Management Education Research Conference (RMERC) in September 2022, students from various universities took part in a Global Goals Design Jam. The current prestudy postulates that participation in a Global Goals Design Jam is primarily associated with positive attributes related to emotions and a sense of coherence. The potential for empowering learners to navigate real-world complexities and contribute to sustainability is highlighted, establishing formats like the Global Goals Design Jam as a valuable addition to educational conferences with a sustainability focus. The results also highlight potentials and limitations of the format and provide insights into further research requirements.

With the growing need for employees to be innovative, public-sector organizations are investing in employee training. This study aims to examine the effects of a combined Lean Six Sigma and innovation training, using action learning, on public-sector employees’ creative role identity and innovative work behavior.

The authors studied a public service agency in Singapore in which a five-day Lean Innovation Training was implemented, using a combination of Lean Six Sigma and Creative Problem-Solving tools, with a simulation on day one and subsequent team-based project coaching, spread over six months. The authors administered pre- and postintervention surveys among all the employees, and initiated group interviews and observations before, during and after the intervention.

Creative role identity and innovative work behavior had significantly improved six months after the intervention, enabled through senior management’s transformational leadership. The training induced managers to role-model innovative work behaviors while cocreating, with their employees, a renewal of their agency’s core processes. The three completed improvement projects contributed to an innovative work culture and reduced service turnaround time.

Starting with a role-playing simulation on the first day, during which leaders and followers swapped roles, the action-learning type training taught all the organizational members to use various Lean Six Sigma and Creative Problem-Solving tools. This nimble Lean Innovation Training, and subsequent team-based project coaching, exemplifies how advancing the staff’s creative role identity can have a positive impact.

The adaptive performance of architects as a key professional in project delivery teams has become important for developing strategies, skills and cognitive behaviours for sustainability of working systems. However, the understanding and knowledge of adaptive performance of architects is lacking in the current literature. Thus, this study fills this gap by primarily assessing the adaptive performance of architects in project teams in project delivery.

By adopting the widely used eight-dimension attributes of adaptive performance, a questionnaire survey was conducted among team participants and stakeholders who directly or indirectly work on projects with architects in the public and private sectors project delivery supply chain in Ghana. A total of 42 responses were subsequently used in a fuzzy set theory analysis being facilitated by a set of linguistic terms.

From the assessment, the overall adaptive performance of architects from the eight-dimension attributes emerged to be fairly high. Additionally, the architects’ performance in the individual eight-dimensions showed varied results. High performance was registered in architects’ ability to handling work stress and cultural adaptability. Also, architects demonstrated a fairly high performance in dealing with uncertain or unpredictable work situations. However, in the cases of learning work tasks, technologies and procedures, interpersonal adaptability and handling crisis and emergency situations, architects were deemed to have low and fairly low adaptive performance among project teams.

Given the vagueness and complexities in understanding adaptability among teams and its assessment, through the use of fuzzy set theory based on a suitable set of linguistics terms, the study presents a novel understanding of the level of architects’ adaptive performance in project teams in project delivery. The findings are extremely useful in helping architects adapt and cope with changing competitive work environment by developing the right cognitive behaviours for task functions and organizational roles, disruptions and aiding their ability to self-regulate.

The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

This study explores how problem-based learning (PBL) programs can address Sustainable Development Goals (SDGs) via the higher education (HE) curriculum, teaching materials and relevant assessments, supporting learning at scale for HE institutions.

Employing SDGs and their indicators as the coding framework, our two-phase study evaluates the curriculum and teaching materials of seven PBL programs at a leading higher education institution (HEI). The first phase involved a content analysis to assess the degree of sustainability integration in 156 relevant courses. The second phase applied a semi-automated mapping protocol to analyze learning and teaching materials in 120 relevant courses.

The school aligns with 17 SDGs (100%), covering 94 indicators (55.62%). On average, each program within the school addresses over ten of these goals and incorporates more than 24 associated indicators. However, the study reveals an imbalance in the incorporation of SDGs, with some goals not yet deeply and comprehensively embedded in the curriculum. While there is a substantial focus on sustainability theories, the practical implications of SDGs in emerging countries, particularly through case studies and assessments, require significant enhancement.

Mapping SDGs allows HEIs to identify strengths and gaps in SDG integration, thereby improving the PBL approach to enhance student work readiness in sustainability-focused careers.

Through the lens of transformative learning theory, this study provides evidence of SDG integration into PBL curricula. It highlights a mapping methodology that enables HEIs to evaluate their sustainability readiness in curriculum, teaching materials and relevant assessments.

There has been considerable discussion about the poor outcomes of irresponsible management, which are often discussed as being the result of “shortcomings” of contemporary capitalism: runaway self-interest, quarterly focus, elite orientation, volume orientation, and one-pattern capitalism (Kim, 2022). In order to address such shortcomings in business education, particularly with strategy-related modules that were taught with a focus on creating “shareholder value,” the Sustainable Decisions and Organisations (SDO) module was designed by academics as the capstone module for the master of business administration (MBA) program and delivered with the aim of developing capabilities of students to be leaders and future generators of sustainable value for business and society at large. The students participating in the module are shown how a “stakeholder” approach to developing business strategy can lead to more sustainability-oriented value creation. The module addresses how companies can contribute to “sustainability” by aligning their economic/financial, societal, and ecological impacts with limited resources through strategy. This contribution discusses the implementation of this module and demonstrates how students are provided learning opportunities around how sustainability-related issues can be embedded into a business organization's strategy to enhance the organization's performance while addressing risks by working with stakeholders to create value and thus be able to contribute to relevant UN Sustainable Development Goals (SDGs).

Current assessment models in education have focused solely on measuring knowledge and fail to address the goals of Sustainable Development Goal 4 (SDG4) for a well-rounded, future-proof education. While SDG4 emphasizes quality education, traditional assessments do not account for the diverse skills and intelligence learners possess. This gap between assessment and the needs of SDG4 presents a conundrum for educators: How can we develop assessment strategies that encompass multiple intelligences and prepare learners for the future while ensuring the delivery of quality education as outlined by SDG4? This paper aims to propose integrated assessment strategies as a solution, examining their effectiveness in assessing multiple intelligences and supporting the future-proofing agenda within quality education.

The study used a qualitative research design. Interviews were held up to saturation point with 60 teachers and students purposively selected from schools in ten provinces across the country. Data from interviews were analysed using thematic network analysis. The data were complemented by documentary analysis from the Ministry of Primary and Secondary Education, Zimbabwe documents which included Curriculum Frameworks and policy documents as well as a systematic literature review.

Results indicated that integrated assessment systems provide an avenue for testing deeper learning and help students acquire competencies needed in the world of work, such as problem-solving and teamwork. However, certain conditions mitigate against the effective implementation of integrated assessment in schools.

This study uses the use of a qualitative research methodology, hence the generalizability of results in other settings may not be possible. The data collected from the research findings was manually coded and analysed. However, coding the data manually allowed the researchers to be fully immersed in the emerging themes enriching the study with additional data. This means that in-depth data engagement was ensured.

The paper concludes that integrated assessment provides authentic assessment which prepares learners for the future. The study recommends that the government should redress the teaching-learning environment in schools for effective implementation of integrated assessment systems so that not only one regime of intelligence is tested and future-proofing of quality is guaranteed.

The research contributes to increasing the motivation to deliver quality education by investing in integrated evaluation systems.