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This study aims to provide insight into the operational factors of big data. The operational indicators/factors are categorized into three functional parts, namely synthesis, speed and significance. Based on these factors, the organization enhances its big data analytics (BDA) performance followed by the selection of data quality dimensions to any organization's success.

A fuzzy analytic hierarchy process (AHP) based research methodology has been proposed and utilized to assign the criterion weights and to prioritize the identified speed, synthesis and significance (3S) indicators. Further, the PROMETHEE (Preference Ranking Organization METHod for Enrichment of Evaluations) technique has been used to measure the data quality dimensions considering 3S as criteria.

The effective indicators are identified from the past literature and the model confirmed with industry experts to measure these indicators. The results of this fuzzy AHP model show that the synthesis is recognized as the top positioned and most significant indicator followed by speed and significance are developed as the next level. These operational indicators contribute toward BDA and explore with their sub-categories' priority.

The outcomes of this study will facilitate the businesses that are contemplating this technology as a breakthrough, but it is both a challenge and opportunity for developers and experts. Big data has many risks and challenges related to economic, social, operational and political performance. The understanding of data quality dimensions provides insightful guidance to forecast accurate demand, solve a complex problem and make collaboration in supply chain management performance.

Big data is one of the most popular technology concepts in the market today. People live in a world where every facet of life increasingly depends on big data and data science. This study creates awareness about the role of 3S encountered during big data quality by prioritizing using fuzzy AHP and PROMETHEE.

Background: Commodity-driven deforestation is a major driver of forest loss worldwide, and globalisation has increased the disconnect between producer and consumer countries. Recent due-diligence legislation aiming to improve supply chain sustainability covers major forest-risk commodities. However, the evidence base for specific commodities included within policy needs assessing to ensure effective reduction of embedded deforestation.

Methods: We conducted a rapid evidence synthesis in October 2020 using three databases; Google Scholar, Web of Science, and Scopus, to assess the literature and identify commodities with the highest deforestation risk linked to UK imports. Inclusion criteria include publication in the past 10 years and studies that didn't link commodity consumption to impacts or to the UK were excluded. The development of a review protocol was used to minimise bias and critical appraisal of underlying data and methods in studies was conducted in order to assess the uncertainties around results.

Results: From a total of 318 results, 17 studies were included in the final synthesis. These studies used various methodologies and input data, yet there is broad alignment on commodities, confirming that those included in due diligence legislation have a high deforestation risk. Soy, palm oil, and beef were identified as critical, with their production being concentrated in just a few global locations. However, there are also emerging commodities that have a high deforestation risk but are not included in legislation, such as sugar and coffee. These commodities are much less extensively studied in the literature and may warrant further research and consideration.

Conclusion: Policy recommendations in the selected studies suggests further strengthening of the UK due diligence legislation is needed. In particular, the provision of incentives for uptake of policies and wider stakeholder engagement, as well as continual review of commodities included to ensure a reduction in the UK's overseas deforestation footprint.

The purpose of this paper is to present a framework for scholars carrying out reviews of research that meet international standards for publication.

This is primarily a conceptual paper focusing on the methodology of conducting systematic reviews of research. However, the paper draws on a database of reviews of research previously conducted in educational leadership and management. In a separate effort, the author identified 40 reviews of research that had been published in educational leadership conducted over the past five decades. The paper draws upon narrative examples from the empirical review as a means of clarifying and elaborating on the elements of the conceptual framework. The paper also refers to specific findings from the earlier paper in order to illustrate broader trends with respect to how the various elements of the framework have been employed in exemplary reviews.

As scholars working across a broad range of scientific fields suggest, high quality reviews of research represent a potentially powerful means of reducing the gap between research and practice. Yet, the quality of research reviews conducted in educational leadership and management remain highly variable in methodological rigor. This paper provides a conceptual framework and language that scholars might use to guide the conduct and evaluation of future research reviews in educational leadership and management.

The contribution of this paper lies first in highlighting the need for scholars to employ systematic methods when conducting research reviews in educational leadership and management. Beyond this broad purpose, the paper provides a framework for decision‐making at different points in the review process, and a set of criteria or standards by which authors, readers and reviewers can judge the quality of a research review. It is hoped that this conceptual framework can provide useful methodological guidance that will enhance longstanding efforts in our field to advance knowledge in a more systematic and coherent fashion.

This originality of this paper lies in its adaptation and application of recent methodological advances in conducting reviews of research across the natural and social sciences to the field of educational leadership and management. A search of core journals in educational leadership and management found not a single paper that discussed methods of conducting reviews of research. The paper offers a clear framework that will allow future scholars in educational leadership and management to improve the quality of their research reviews.

Training to improve health management and leadership competence is recommended. However, there is limited evidence showing the impact of training on competence. The purpose of this paper is to evaluate the evidence for the impact of training and professional development on health management and leadership competence.

A systematic review was conducted using a mixed-methods design. Studies using qualitative, quantitative or mixed-methods design were included. The following electronic databases were searched to October 2018: CENTRAL, CINAHL, EMBASE, ERIC, NEDLINE and PsycINFO. Study eligibility and methodological quality were assessed independently by two review authors. Data from qualitative studies were synthesised using thematic analysis. For quantitative studies, odds ratio (OR) or mean difference (MD) and 95% confidence interval (CI) were calculated for each intervention. Where appropriate, qualitative and quantitative data were integrated into a single synthesis using Bayesian methods.

In total, 19 studies were identified for inclusion in the review. Training and professional development interventions using flexible, multiple training techniques tailored to organisational contexts can improve individual competence and performance. Such training is typified by a leadership development programme. There was insufficient evidence to determine the effects of interventions on organisational performance.

This is the first systematic review evaluating the impact of training and professional development interventions on health management and leadership competence.

The purpose of this review is to draw out patterns of information seeking behavior of graduate students as described in the empirical research published from 1997 to the present.

A systematic search of databases for studies on information behavior and graduate students was employed in order to retrieve studies for a systematic review. Common themes that emerged from the literature were synthesized into a discussion of behavior patterns. Additionally a study quality analysis was conducted for all retrieved studies using a critical appraisal checklist for library and information research.

This review revealed that graduate students begin their research on the internet much like any other information seeker, consult their faculty advisors before other people, and use libraries in diverse ways depending on the discipline studied. Additionally differences were noted between international and home students, and doctoral and master's students.

The findings of this review indicate that information behavior research conducted on graduate students should delineate between masters' and doctoral students. Further, the findings may inform both academic librarian and faculty practice as to how to assist students with their research by helping them to understand how students typically approach research and how other institutions address common issues with special populations, such as non‐native speakers and distance learners.

No comprehensive review of information behavior studies, encompassing only the behaviors of graduate students has been conducted to date.

A large number of systematic reviews (SRs) studies have been performed in the cloud computing field, demonstrating miscellaneous outcomes and utilizing different approaches. Accordingly, a meta-review of cloud SRs is needed to appraise the results of such studies and create an integrated understanding. The paper aims to discuss these issues.

A tertiary study was conducted using a systematic method to analyze SRs including two stages: searching and screening the SRs and thematic synthesis of results. As a qualitative data management tool, Nvivo software was used to support the research process, for data coding and synthesis.

First, by searching electronic sources between the year of 2011–2016, out of a total of 142 identified articles, 94 articles were included according to pre-determined criteria, of which 76 articles were approved after qualitative evaluation. In the second stage, identifying the research themes, a map of the concepts and issues related to each theme was drawn up. The analysis shows that the quality of articles has improved but can be further enhanced using methodological guidelines as well as supporting tools. The research has focused more on the technical aspect, although there is an equal demand for synthesizing of cloud governance concepts.

This is the first tertiary study which presents the main research themes and concepts of cloud SRs in form of thematic maps by using the thematic synthesis and SR methods. This paper also provides some recommendations to improve reviews after evaluating the quality of papers. This study can support reviewers for future SRs in the field and also helps practitioners and managers to have a better understanding of different aspects of cloud computing.

This study aims to explore the interactions between two different and potentially complementary boundary resources in coordinating solution networks in a digital platform context: boundary spanners (those individuals who span interorganizational boundaries) and boundary interfaces (the devices that help coordinate interfirm relationships, e.g. electronic data interchanges, algorithms or chatbots).

The authors conducted a multiple case study of three firms using digital platforms to coordinate solution networks in the information communication technology and lighting facility industries. Data were collected from 30 semi-structured interviews, which are complemented by secondary data.

As task complexity increases, smarter digital interfaces are adopted. When the intelligence level of interfaces is low or moderate, they are only used as tools by boundary spanners or to support boundary spanners’ functions. When the intelligence level of interfaces is high or very high, boundary spanners design the interfaces and let them perform tasks autonomously. They are also sometimes employed to complement interfaces’ technological limitations and customers’ limited user ability.

The industry contexts of the cases may influence the results. Qualitative case data has limited generalizability.

This study offers a practical tool for solution providers to effectively deploy boundary employees and digital technologies to offer diverse customized solutions simultaneously.

This study contributes to the solution business literature by putting forward a framework of boundary resource interactions in coordinating solution networks in a digital platform context. It contributes to the boundary spanning literature by revealing the shifting functions of boundary spanners and boundary interfaces.

This article aims to present a systematic review and synthesis of evidence on the experiences, role and use of IPE in IH fields by using a meta-ethnographic approach including key concepts, reciprocal and refutational translation and lines of argument. Inclusion health (IH) practice suggests that the needs of excluded groups are more effectively addressed through collaborative working. Interprofessional education (IPE) occurs when two or more professions engage in shared practice and learning, resulting in improved collaboration and quality of care. Studies on IPE to train staff in fields relating to IH exist, but without a settled consensus on the best approaches/activities to foster inclusive practice.

This synthesis is underpinned by a meta-ethnographic approach. It provides explicit stages of data collection and interpretation, while providing space to engage with emerging themes and concepts iteratively (reflecting on author experiences) and inductively (reasoning and interpretation). This study made use of electronic databases and journals for English language peer reviewed articles between 2000 and 2020. Of the 2217 articles, 19 papers were included. The lead author and reviewer completed the review process and a second reviewer reviewed 10% at each stage. The quality was assessed using a modified CASP checklist. Iterative analysis involved PPI and staff stakeholders.

A total of 16 concepts embedded in 19 papers provide insight into the nature of IPE in IH (IH) for staff. It was found that IPE in IH covers a broad group of practitioners and is a complex activity involving individual and organisation readiness, practical and pedagogical factors, influenced by setting, method, curriculum, lived experience, reflection and a learner-driven approach. Barriers to design, implementation and translation into practice were also found to exist.

Most studies used a combination of core learning and group work. Educational modes include mentoring or coaching, reflective practice, immersive learning and people lived experience of exclusion involved in or facilitation thematically centred in trauma-informed informed care, cultural competence, communities of practice and service learning. The aim of these methods was to promote collaboration through identifying shared experiences, problems and tensions and critical reflection of services and organisations. Such transformative learning is reported to challenge stigma, discrimination and misinformation and promote collective empowerment to address social injustice through human connection. Effective models of IPE re-instated the therapeutic relationship and alliances between patients and staff.

This review also calls for the development of health and care workers’ professionalism in relation to their own reflexivity, establishing anti-racist curricula, challenge stigma and ensuring clinicians are aware of and able to negotiate tension and difference identified within the consultation and between themselves. Apart from developing generalist skills, this analysis suggests that IPE in IH may be able to challenge stigma and discrimination towards IH groups by destabilising existing norms and siloed working with the aim of achieving robust interprofessional practice.

IPE in IH is a complex activity affected by individual and organisation readiness, setting, experiential, practical and pedagogical factors. Models of teaching are focused on re-instating the therapeutic relationship. There are no systematic reviews in this field and previously there was no settled consensus on the best approaches and learning activities to foster inclusive and collaborative practice.

This paper aims to explore how omni-channel data flows should be integrated by specifying what data, omni-channel agents and information and digital technologies (IDTs) should be considered and connected.

A multiple case study method is used with 17 British companies. The studies are supported by 68 interviews with the case companies and their consumers, 5 site visits, 4 focus group meetings and the companies’ archival data and documentations.

This paper provides novel frameworks for omni-channel data flow integration from consumer and business perspectives. The frameworks consist of omni-channel agents, their data transactions and their supporting IDTs. Relatedly, this paper formalizes the omni-channel data flow integration in the forms of horizontal, vertical and total integrations and explores their contributions to the adaptability of omni-channel, as a complex adaptive system (CAS). It also discusses that how inter-organizational governance mechanisms can support data flow integration and their relevant IDT implementations.

The breadth and depth of the required IDTs for omni-channel integration prove the necessity for omni-channel systems to move toward total integration. Therefore, supported by CAS and inter-organizational governance theories, this research indicates how data flow integration and IDT can transform the omni-channel through self-organization and autonomy capability enhancement.

This research’s recommended frameworks provide a robust platform to formalize data flow integration as the omni-channel's core driver. Accordingly, it moves the literature from a basic description of “what omni-channel is” and provides a novel and significant debate on what specific data should be shared at what levels between which agents of the omni-channel, and with what type of relationship governance mechanism, to assure omni-channel horizontal, vertical and total integrations.

This study aims to establish a comprehensive understanding of the intricacies of how individuals engage with deepfakes, focusing on limiting adverse effects and capitalizing on their benefits.

This study conducted a meta-synthesis of qualitative studies on deepfakes, incorporating study-specific analysis followed by a cross-study synthesis.

Based on the meta-synthesis, the study developed an integrated conceptual framework based on the perspectives from the social shaping of technology theory embedding deepfake-related assertions, motivations, the subtleties of digital platforms, and deepfake-related repercussions.

The study offers crucial insights into the evolving nature of deepfakes as a socio-technical phenomenon and the significance of platform dynamics in deepfake production. It enables researchers to comprehend the cascading effects of deepfakes and positions them to evaluate deepfake-related risks and associated mitigation mechanisms.

The framework that emerges from the study illustrates the influence of platforms on the evolution of deepfakes and assists platform stakeholders in introducing effective platform governance structures to combat the relentless proliferation of deepfakes and their consequences, as well as providing guidance for governments and policymakers to collaborate with platform leaders to set guardrails for deepfake engagement.

Deepfakes have been extensively contested for both their beneficial and negative applications and have been accused of heralding an imminent epistemic threat that has been downplayed by some quarters. This diversity of viewpoints necessitates a comprehensive understanding of the phenomenon. In responding to this call, this is one of the first to establish a comprehensive, theoretically informed perspective on how individuals produce, process, and engage with deepfakes through a meta-synthesis of qualitative literature on deepfakes.