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The purpose of this study was to examine if team composition based on adaption-innovation (A-I) problem-solving styles is related to the teamwork quality and team effectiveness (TE) of student project teams participating in a [state-gifted program (SGP)].

A correlational design was conducted with a sample of 72 (SGP) participants, consisting of 15 project teams (n = 15), which formed three groups: (1) the homogeneous adaptive group, which consists of five homogeneous adaptive teams (n = 5); (2) the homogeneous innovative group, which consists of five homogeneous innovative teams (n = 5), and (3) the heterogeneous group (i.e. a mix of innovative and adaptive individuals), which consists of five heterogeneous teams (n = 5).

A one-way ANOVA and post-hoc test revealed that team composition based on problem-solving styles is related to teamwork quality and TE. Regarding TE, both homogeneous groups (i.e. all adaptive or all innovative individuals) were more effective than the heterogeneous group. However, regarding teamwork quality, only the adaptive group had significantly higher teamwork quality than the heterogeneous group.

We recommend that leadership educators utilize Kirton’s adaption-innovation inventory (KAI) as a tool for building effective student project teams. KAI can be used by leadership educators in two major ways: to assign students to groups (as done in the current study) or for team building, where team members share their KAI scores to better understand their problem-solving preferences.

The findings add to the literature by specifying the type of homogeneous groups (i.e. homogeneous adaptive), which may offer an advantage over heterogeneous groups regarding teamwork quality.

To date, little research has been undertaken to test the effectiveness of team coaching, with past work focusing on models, frameworks and competencies. This study aimed to examine the effectiveness of team coaching within real world organizational teams and its impact on individual perceptions of team cohesion and psychological safety.

A randomized control trial (RCT) using the comparable interventions: (1) team coaching (intervention) and (2) team facilitation (control) was employed with multiple teams and multiple facilitators, measuring the impact on team cohesion and psychological safety.

The data indicate participants engaging in the team coaching intervention made greater gains in terms of their individual perceptions of psychological safety and team cohesion than individuals who received the team facilitation intervention (T1–T2).

Facilitators should apply a team coaching approach when seeking to address issues of cohesion and psychological safety within workplace teams.

This study provides the first evidence, using an RCT method, of the effectiveness of team coaching as a workplace intervention for enhancing individual perceptions of psychological safety and team cohesion.

In today’s digital economy, it is very important to cultivate digital professionals with advanced interdisciplinary skills. The purpose of this paper is that universities play a vital role in this effort, and research teams need to use the synergistic effect of various educational methods to improve the quality and efficiency of personnel training. For these teams, a powerful evaluation mechanism is very important to improve their innovation ability and the overall level of talents they cultivate. The policy of “selecting the best through public bidding” not only meets the multi-dimensional evaluation needs of contemporary research, but also conforms to the current atmosphere of evaluating scientific and technological talents.

Nonetheless, since its adoption, several challenges have emerged, including flawed project management systems, a mismatch between listed needs and actual core technological needs and a low rate of conversion of scientific achievements into practical outcomes. These issues are often traced back to overly simplistic evaluation methods for research teams. This paper reviews the literature on the “Open Bidding for Selecting the Best Candidates” policy and related evaluation mechanisms for research teams, identifying methodological shortcomings, a gap in exploring team collaboration and an oversight in team selection criteria.

It proposes a theoretical framework for the evaluation and selection mechanisms of research teams under the “Open Bidding for Selecting the Best Candidates” model, offering a solid foundation for further in-depth studies in this area.

Research progress on the Evaluation Mechanism of Scientific Research Teams in the Digital Economy Era from the Perspective of “Open Bidding for Selecting the Best Candidates.”

Corporate real estate management (CREM) is complex due to an increasing number of real estate (RE) added values and the tensions between them. RE managers are faced with trade-offs: to choose a higher performance for one added value at the cost of another. CREM research mainly deals with trade-offs in a hypothetical sense, without looking at the characteristics of the RE portfolio nor the specific context in which trade-offs are made. The purpose of this paper is to further develop the concept of real estate value (REV) optimisation with regard to tensions between decreasing CO₂ emissions and supporting user activities.

Mixed method study. REV optimisation between user activities and energy efficiency for police stations in the Netherlands built between 2000 and 2020 is analysed. This is complemented by interviews with an RE manager and senior user of police stations and analysis of policy documents.

The characteristics of the police station portfolio indicate no correlation between user activities and energy efficiency for the case studied. This is complemented by interviews, from which it becomes clear that there was in fact little tension between supporting user activities and energy efficiency. The performances of these two different added values were optimised separately.

This study combines different scales (building and portfolio level) with different types of data: portfolio analysis, document analysis and interviews. This creates a comprehensive image of whether and how the Netherlands police optimised the two RE values.

The purpose of this action research study was to design, implement and evaluate interventions that enhanced the induction program for new teachers in a P-12 school district. At the outset, we hoped the study would provide new teacher support resulting in improved teaching practices, increased job satisfaction and/or increased teacher retention among the target population. With this in mind, our research question was: What structures and supports from a school-university partnership facilitate capacity-building among university teacher education faculty, school and district leaders, mentor teachers, and new teachers in the context of an induction program?

This study used an intervention-centered mode of action research methodology that aims to make systems-level change. This type of action research intends to solve real organizational problems with a focus on conducting “research in action” rather than “research about action” (Coghlan and Brannick, 2014, pp. 5–6). This approach necessitates that data collection and analysis are iterative processes, occurring throughout the research process, instead of solely at the end stages of the research process. Our action research process used Coghlan and Brannick’s (2014) action research cycle model. The cyclical four-step process includes constructing (verifying the problem in the local context), planning action, taking action and evaluating action. Facilitated by the interim director of a Professional development schools (PDS) partnership in the Southeastern United States, a team of co-researchers which included three university teacher education faculty and four school district administrators used action research methodology to create systemic change that enhanced the district’s induction program. We collected data through multiple qualitative methods, including surveys, focus groups, observations and interviews during the course of three action research cycles. These data and our theoretical framework (complex adaptive systems theory and social network theory) informed two major interventions that supported new teachers during the challenging first year of the coronavirus disease (COVID-19) pandemic.

The interventions and the research process were mutually beneficial for both institutions and contributed to professional learning and growth at the individual, group and system levels. The three major findings described include: (1) engaging in collaborative action research is mutually beneficial for both schools and universities; (2) induction programs benefit from university resources; (3) learning communities build all educators’ professional capacity.

Our research recommendations are: (1) more research is needed on the benefits of school-university partnerships to induction programs; (2) school-university partnerships should leverage action research to improve systems; (3) within school-university partnerships, the connection between collaborative leadership and sustainability requires further research. One limitation was that this study was conducted in a single school-university partnership context involving a large public university and a mid-sized public school district that had a well-established partnership. More induction-centered research is needed in different types of school-university partnership contexts that have varying levels of longevity and partnership structures.

Our recommendations for practice include (1) school-university partnerships should leverage collaborative learning communities to catalyze individual, group and systems-level learning and change, and (2) school-university partnerships must prioritize induction support to strengthen the teaching profession.

Since Hunt’s (2014) literature review on induction support in PDS partnerships, very few empirical studies have been conducted in this research area. This study, which examined induction support in a PDS partnership over a two-year period, makes a significant contribution to the scholarly literature on induction teacher support in school-university partnership contexts. Facilitated by the interim director of a PDS partnership, a team of co-researchers, which included three university teacher education faculty and four school district administrators, used action research methodology to create systems-level supports that enhanced the district’s induction program.

The results of the COVID-19 pandemic rendered the traditional work environment model obsolete for the United States Air Force, resulting in the need to create a new hybrid work model that fits unique employee needs in a complex organization. This practitioner article discusses how the 711th Human Performance Wing (711 HPW) built the Mission-Focused Agile Work Environment (MFAWE) using a combination of human and mission-focused strategies to ensure a more flexible work environment without compromising excellence or its employees' well-being.

Using an action research approach, data was collected by 77 diverse stakeholders in six working groups. Five perspectives were examined – employee, operations, infrastructure, leadership and mission – using a combination of literature and policy reviews, interviews, surveys and personal experiences to deliver recommendations to leadership for implementation.

The MFAWE addressed hybrid work transition requirements, including employee guidance, permanent workspace guidelines and facilities. Lessons learned from implementation included the need for a change management and communication strategy. An employee playbook was found to be an effective modality for information sharing but not for policy enforcement. Employee preference for permanent space regardless of time on site due to sanitation and mental health concerns was also discovered.

This article showcases how a large, complex organization built a new hybrid work model using employee-inclusive practices, filling a gap in the literature. This project also uncovered complex interdependencies when transitioning to a hybrid work model, including employee preferences.

Many researchers partner with schools but may be unfamiliar with practices for initiating contact and sustaining relationships with school leaders. Partnering with schools requires significant effort from the researcher to nurture communication and trust. This can pose challenges for researchers who are new to the field, have relocated to a new university or need to rebuild relationships due to transitions in school staffing.

In this mixed-methods study, we interviewed and surveyed school and district leaders in Delaware to learn how researchers can best communicate and form relationships with schools and districts.

We found no singular best method exists to initiate contact with schools and districts. Rather, researchers should consider the unique needs of the local context. Leaders’ decision to participate in research was most influenced by their own interest in the research topic, alignment with schools’ needs and researchers’ willingness to build a relationship with the local education agency.

Despite broad acknowledgment about the importance of school–university partnerships, few studies directly engage educators in discussing their goals, preferences and needs when working with researchers. We sought to formalize an understanding of best practices researchers can consider when initiating contact and building relationships with schools, directly from the perspective of school and district leaders. Developing these understandings from practitioners ensures the information authentically represents the perspectives of those who researchers seek to connect with, rather than assumptions of the researcher.

Career preparedness is critical to successfully transitioning from college to a full-time work environment. Being prepared means students have the technical and non-technical skills to help an organization meet its strategic goals. In many instances, students lack the requisite career competencies and collaborative skills. This study proposes designing an instructor-led, career-driven quasi-virtual internship to address this issue and improve students’ preparedness and teamwork.

Our research integrates and expands the four-step processes outlined in instructional and course redesign theories, including analysis, design and development, implementation and evaluation. In the evaluation phase, a survey is used to collect data, and natural language processing is applied to identify the emerging themes. The sample included 104 undergraduate students enrolled in an information systems degree program, which resulted in a digital corpus of 40,744 words for analysis.

Results indicate that the implementation of instructor-led quasi-virtual internships offered a comprehensive career experience comparable to an onsite or virtual company-sponsored internship in five notable areas: (1) application of technical knowledge, (2) critical thinking, (3) time management, (4) application of IT project management and (5) collaborative skills.

Our study only evaluated participants in our treatment group. Future research should examine the differences between students who complete sponsored versus instructor-led quasi-virtual internships. Researchers can add a control group of students who receive a theoretically based capstone course. Future research can simulate randomized controlled trials (RCT) (Chalmers et al., 1981) to measure the effectiveness of quasi-virtual internships. A benefit of this research is that an open-ended survey allows for collecting rich, multifaceted primary data. The second limitation is that the study included only single-item questions. Future authors can create and validate a survey instrument based on the themes and concepts emanating from our investigation. For example, they can operationalize team dynamics and career preparedness using a reflective model in which the underlying construct drives the indicators, requiring multiple items to examine each construct (Coltman et al., 2008). Third, the sample size in the study was relatively small. We can increase the sample size using a time-series dataset with multiple measurement periods. The fourth limitation is context; this study was conducted at a public university; other institutions may have varied teaching approaches, student demographics and resources. By expanding our study using a multi-site approach (Ballantyne et al., 2012), we can increase cross-sectional sample sizes and improve the generalizability of the study’s results.

This study provides several practical insights for educators by examining quasi-virtual internships. Academic institutions that want to offer internships but struggle to establish industry partners can implement the quasi-internship model as an alternative approach. The study highlights that students gain critical insight into their future careers during these internships by being familiar with industry concepts and tools. We also provide insights into engaging students in “meaningful collaboration.” We suggest the instructor provide some time during the class sessions for group work to improve coordination and introduce industry-level tools that provide a more applied approach to IS education.

The National Survey of College Internships (NSCI) 2021 indicates that underrepresented and first-generation students were less likely to participate in internships. Our research may positively impact diverse communities since the quasi-virtual internship allows all students to participate once they are enrolled in a capstone class.

To our knowledge, this study is the first to utilize latent semantic analysis to analyze students’ feedback to improve course design, career preparedness and team dynamics.

Strengths-based professional development has been associated with positive outcomes in academia and in the organizational workplace. Students pursuing their doctoral degrees in the biomedical sciences in the US are often on graduate assistantships, where they experience an academic component to their training integrated with an employee-like existence. The individual who serves as their academic and research advisor is often their supervisor, who pays their stipend. The traditional training structure poses unique challenges and may be accompanied by stress, burnout and imposter phenomenon. The purpose of this study is to utilize a strengths-based approach to equip students with essential personal and professional skills that build self-awareness and self-confidence further preparing them for their future in the scientific workforce.

The authors developed and implemented a novel strengths-based professional development cohort program for doctoral students in the biomedical sciences at a research-intensive (R1) institution. The program was designed to create a supportive and inclusive space for participants (n = 18) to explore their identity as a student and scientists and to develop and leverage their talents for more effective and strategic use. Program outcomes were evaluated through a mixed methods case study design using a post-program Likert-based survey (n = 10 participants) and participant interviews (n = 13). Explanatory sequential design was used in the interpretation of the findings.

The results show that the program had a positive impact on students’ perceptions of themselves as scientists, as well as on their self-efficacy, self-confidence and interpersonal interactions in the research setting.

This strengths-based professional development program demonstrates immense potential as a model to equip students with self-awareness and a new foundation of essential skills needed to supplement their technical and scientific training for their future careers in the team-based workplace.

This study demonstrates how professional development programming can complement scientific training by equipping students with self-awareness and other lifelong skills to navigate feelings of imposter phenomenon and interpersonal relationships in the team-based workplace.

Technological advancements and global societal changes reshapes manufacturing industry emphasizing needs for competence development of industrial professionals. The purpose of this paper is to study how organizational learning supports the development of academic structures, creating agile and sustainable formal educational models meeting novel competence needs.

The qualitative case study, part of a longitudinal research study, focuses on internal academic processes supporting a new formal educational model. Qualitative data was collected through five focus groups, incorporating 32 informants from different HEI function categories.

Changing traditional academic structures requires joint engagement between all HEI functions, emphasizing organizational learning with subprocesses of searching, creating, sustaining and exchanging knowledge in a learning loop. Results show a consensus among the different HEI functions regarding the value of the HEI’s coproduction with society; however, bureaucracy and academic structure hinder flexibility. Cross-functional teams building a “chain-of-trust” throughout the HEI coupled with full management support show opportunities to progress into a learning organization.

Organizational learning within HEIs requires trustful and open communication, multifunction knowledge exchange, holistic views of processes and system thinking, achieved through cross-functional teams and continuous improvement through learning loops.

Industry-academic collaboration on formal education for lifelong learning needs to become both agile and resilience to meet technological advancement and sustainability.

Novel technology, digitalization and sustainability gain ground and require that society and organizations, including academia, change and learn. This means that academia is meeting new challenges and needs to develop internal processes.