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The purpose of this paper is to highlight the role an intentional and cohesive research group for doctoral researchers and supervisors can play in surfacing and de-mystifying many of the implicit doctoral literacy practices involved in doctoral study.

This participatory, collaborative project, involving 11 doctoral researchers and three supervisors, was conducted in two stages. In the first stage, doctoral researchers and supervisors engaged in a discussion which resulted in a shared concept map. The concept map was then used as a prompt for stimulated recall interviews in which the participants reflected on the connections and peer learning afforded by the research group.

Drawing on ideas from Communities of Practice theory, the data revealed that the research group, including both supervisors and doctoral students, developed knowledge, relational connections and an awareness of a range of doctoral literacies.

This paper makes suggestions for how those in doctoral education can develop and embed research groups into institutional practices.

This study demonstrates the significant role a research group which is structured, intentional and guided plays in supervisors’ and doctoral students’ development of doctoral literacies and the fundamental intellectual and relational connections afforded by participating in such communities.

The purpose of this study is to understand the influence of the transformational, transactional and laissez-faire leadership styles and collaborative integrative behavior of the team with respect to organizational ambidexterity (the combination of exploration and exploitation learning) in university research groups.

From a survey conducted with a sample of 506 researchers, members of 165 research groups, working in an emerging economy, a multiple regression model analysis was performed.

Findings of this study provide evidence that the coordinator's transformational leadership and the collaborative integrative behavior of the team positively influence organizational ambidexterity of research groups. Transactional leadership and laissez-faire style do not show any significant influence.

This study addresses the lack of knowledge regarding organizational learning in research groups to explore and exploit knowledge through research result transfer processes based on the organizational ambidexterity logic in higher education institutions (HEIs) from emerging economies. The study aims to contribute to the literature on leadership styles and ambidexterity in HEIs in emerging economies, particularly in Latin America, where there is still a scarcity of research on the attributes of effective leadership.

The process of knowledge production is usually assigned to scientists who use specific methods to extract knowledge from someone else's experience. Usually this includes collecting, aggregating and interpreting data from an uninvolved point of view; that is, from the outside. This procedure is supposed to guarantee objectivity and generalisation. Many child sexual abuse (CSA) survivors reject such an approach that turns them into objects again. This presents a problem for research because it limits the number and contribution of potential participants and can lead to bias. In self-help groups of CSA survivors, an enormous amount of experiential knowledge accumulates, and sometimes this is transferred into more than only individually valid knowledge. Based on this experience and aiming for more agency of CSA Survivors, a group of adult survivors and researchers developed a new approach to research. It focuses on the development of self-organised research, which enables survivors of sexualised violence to practice research without losing agency. They are indispensable and elementary parts in all phases of the process. This chapter shows one way of formalising this process so quality criteria can be developed and applied. Following the presented approach, evaluation of the presented methods is the appropriate next step because self-help groups give reason to estimate significant outcomes. These outcomes not only enable self-help groups of CSA survivors to incorporate new methods but also include the chance to empower adults, children or youth who have been victims of sexualised violence.

In the digital age, enterprise social media (ESM) use is becoming more prevalent in the workplace. The “group” function is a very important part in the use of ESM. This paper explores how the characteristics of employees' task requirements affect their group participation behaviors on the ESM.

Based on information processing theory, the authors establish a two-stage research model to explore the impact of task characteristics on employees' online group participation behavior in the context of ESM. Data were collected using a survey of 341 Chinese employees.

The results indicate that (1) task interdependence was positively correlated with participation in small closed groups; (2) task complexity was positively correlated with participation in small groups, large closed groups and open professional groups and (3) task non-routineness was positively correlated with participation in small groups, large closed groups and open professional groups.

This study builds on the literature on task characteristics, information processing theory and employees' online group participation behavior, contributing to the research on ESM in the field of information systems and providing guidance for enterprise practice.

Research with vulnerable groups is crucial to get their input into public policy design that will directly impact on them. However, there are many methodological and ethical challenges involved in encouraging participation from groups with a wide range of intellectual, cognitive and physical capacities while ensuring that the rights and well-being of participants are protected. Rather than exploring ethical theories, this chapter is a case study describing the practical ethical considerations that were involved in designing and holding a series of focus groups with adult health and social care service users from vulnerable cohorts. It is based on a series of focus groups which the Institute of Public Health (IPH) held with specified cohorts as part of a policy development process on adult safeguarding for the Department of Health (DOH) in Ireland. The four cohorts were people with intellectual disability, cognitive impairments, significant mental health challenges and nursing home residents. This chapter does not describe the findings of the focus groups but outlines the ethical and methodological considerations that arose in designing and conducting this research, and the practical ethical safeguards employed to mitigate risk and comply with Irish and EU General Data Protection Regulation (GDPR) legislation governing health research. It outlines the ethical issues around protecting confidentiality and using incentives to encourage participation, how individuals' capacity to give informed consent was maximized, the risk-assessment and mitigation procedures used to prevent harms arising and the measures put in place to provide follow-up emotional support to participants.

When a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals are primarily based on manual matching of similar topics, discipline areas and keywords declared by project applicants. When the number of proposals increases, this task becomes complex and requires excessive time. This paper aims to demonstrate how to effectively use the rich information in the titles and abstracts of Turkish project proposals to group them automatically.

This study proposes a model that effectively groups Turkish project proposals by combining word embedding, clustering and classification techniques. The proposed model uses FastText, BERT and term frequency/inverse document frequency (TF/IDF) word-embedding techniques to extract terms from the titles and abstracts of project proposals in Turkish. The extracted terms were grouped using both the clustering and classification techniques. Natural groups contained within the corpus were discovered using k-means, k-means++, k-medoids and agglomerative clustering algorithms. Additionally, this study employs classification approaches to predict the target class for each document in the corpus. To classify project proposals, various classifiers, including k-nearest neighbors (KNN), support vector machines (SVM), artificial neural networks (ANN), classification and regression trees (CART) and random forest (RF), are used. Empirical experiments were conducted to validate the effectiveness of the proposed method by using real data from the Istanbul Development Agency.

The results show that the generated word embeddings can effectively represent proposal texts as vectors, and can be used as inputs for clustering or classification algorithms. Using clustering algorithms, the document corpus is divided into five groups. In addition, the results demonstrate that the proposals can easily be categorized into predefined categories using classification algorithms. SVM-Linear achieved the highest prediction accuracy (89.2%) with the FastText word embedding method. A comparison of manual grouping with automatic classification and clustering results revealed that both classification and clustering techniques have a high success rate.

The proposed model automatically benefits from the rich information in project proposals and significantly reduces numerous time-consuming tasks that managers must perform manually. Thus, it eliminates the drawbacks of the current manual methods and yields significantly more accurate results. In the future, additional experiments should be conducted to validate the proposed method using data from other funding organizations.

This study presents the application of word embedding methods to effectively use the rich information in the titles and abstracts of Turkish project proposals. Existing research studies focus on the automatic grouping of proposals; traditional frequency-based word embedding methods are used for feature extraction methods to represent project proposals. Unlike previous research, this study employs two outperforming neural network-based textual feature extraction techniques to obtain terms representing the proposals: BERT as a contextual word embedding method and FastText as a static word embedding method. Moreover, to the best of our knowledge, there has been no research conducted on the grouping of project proposals in Turkish.

In this chapter, we explore group counseling interventions for Black males and explain the Achieving Success Everyday (ASE) group model for racial and mathematical development. We use critical race theory (CRT) as a framework to analyze school counseling (SC) and mathematics literature that focuses on Black male students to inform the reconceptualization of the ASE group model for school counselors. We examine the programs and interventions that have been published with Black male participants in school settings within the SC literature. We also examine programs and interventions that have been specially designed to improve Black males' mathematics skills. We specifically focus on gathering findings that provide successful outcomes for Black males in public schools. We examine literature that reflects the role school counselors (SCs) take when supporting Black male students' academic, social, emotional, college, and career identity development. We believe uncovering ideas to capture Black males' experiences in school settings could shed light on how to foster Black excellence. Gaining an understanding of programs and interventions for Black male students through a CRT lens could inform future research, policy, and practice in SC while combating ongoing racism that continues to persist.

The purpose of this paper is to discuss the issues in studying hard-to-reach or dispersed populations, with particular focus on methodologies used to collect data and to investigate dispersed migrant entrepreneurs, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs.

A mixed methodology is proposed to access hard-to-reach or dispersed populations, and this paper explores these using a sample of Brazilian migrants settled in different countries of the world.

This paper explores empirical challenges, illustrating shortcomings, pitfalls and potentials of accessing and disseminating research to hard-to-reach populations of migrant entrepreneurs. It provides insights by reporting research experiences developed over time by this group of researchers, reflecting a “mixing” of methods for accessing respondents, contrasting to a more rigid, a-priori, mixed methods approach.

The main contribution of this paper is to showcase experiences from, and suitability of, remote data collection, especially for projects that cannot accommodate the physical participation of researchers, either because of time or cost constraints. It reports on researching migrant entrepreneurship overseas. Remote digital tools and online data collection are highly relevant due to time- and cost-efficiency, but also represent solutions for researching dispersed populations. These approaches presented allow for overcoming several barriers to data collection and present instrumental characteristics for migrant research.

This paper aims to examine whether family business groups’ (FBG) having the same network auditor among their affiliates mitigates earnings manipulation (EM).

This paper used unbalanced panel data from the years 2010–2019. The sample of the study is composed of 327 nonfinancial listed Pakistan Stock Exchange firms, consisting of 187 FBG-affiliated firms and 140 nonaffiliated firms. The ordinary least square and generalized least square regressions have been used to check the hypothesized relationship. Furthermore, the propensity score matching technique is used to ascertain comparable companies’ features and to control the potential endogeneity problem. Finally, the results are robust to various measures of EM and FBG’ proxies.

The findings of the study show that the same network auditor is reducing EM in FBG affiliates. In addition, the BIG4 same network auditors are also instrumental in constraining EM as compared to non-BIG4 audit firms. Overall, the results of this study depict that the same network auditor in FBG’s affiliated firms significantly influences EM. These results are robust with respect to generalized least squares and the endogeneity problem.

This research study has two important implications for the interested parties. First, although the authors find in this research study that the same network auditor is negatively associated with EM in the FBG-affiliated firms, however, FBG-affiliated firms might use opportunistically the real activity manipulation. Second, regulators highlight the change in audit partner/firm rotation, though the study findings indicate that regulators and practitioners may consider the benefits associated with the same network auditors for FBG.

This research study adds a new investigation to previous literature by examining the role of the same network auditors in the EM of the FBG’ affiliates. To the best of the author’s knowledge, this is the first study to bring new knowledge by investigating the role played by the same network auditors along with the BIG4 same network audit firms in constraining EM in FBG.

The research aims to identify the effectiveness of using the blended learning strategy on achievement among students of higher colleges of technology in the United Arab Emirates (UAE), through the answer to the following question: Is there a statistically significant difference at the significance level (a = 0.05) in students' achievements in general studies courses at higher education attributed to the method of teaching (blended learning, traditional).

The research applied a Quasi-experimental. The current research used two groups experimental group and controlled group across two phases: pilot study and experimental study. Phase 1 examined the difference between the pilot group and the nonpilot group at Sharjah colleges across three different courses: Fundamentals of Applied Mathematics, Professional Communication and Reporting and Basic Research Methods during the spring semester 2019 at Sharjah colleges. Phase 2 examined the difference between the experimental group (using blended learning during summer 2019) and the controlled group (learned the same courses during summer 2018) across three different courses and the same three courses.

There is no statistically significant difference at significance level (a = 0.05) in students' achievements in the Fundamentals of Applied Mathematics (LSM 1000) course between the experimental and controlled groups. There is a statistically significant difference at significance level (a = 0.05) in students' achievements in the Professional Communication and Reporting (LSC 1103) in favor of the experimental group course at higher education attributed to the method of teaching (blended learning, traditional). There is no statistically significant difference at significance level (a = 0.05) in students' achievements in the Basic Research Methods (LSS 1123) between the experimental and controlled groups.

1. The study is limited to students of Higher Colleges of Technology in the UAE. 2. The study is limited to the General Studies Department at Higher Colleges of Technology. 3. The achievement test used in the study is a standardized test developed by the college.

This research considered the first research to discuss the effectiveness of using blended learning where three teaching strategies are combined together (normal face-to-face classes, flipped classroom and online face-to-face classes) in students' achievement at higher education in the UAE.