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The authors examine how performance measurement systems (PMSs) and academic agency influence the meaning of research quality in practice. The worries are that the notion of research quality is becoming too simplistically and narrowly determined by research quality's measurable proxies and that academics, especially manager-academics, do not sufficiently realise this risk. Whilst prior literature has covered the effects of performance measurement in the university sector broadly and how PMSs are mobilised locally, there is only little understanding of whether and how PMSs affect the meaning of research quality in practice.

The study is designed as a comparative case study of two university faculties in Finland. The role of conceptual analysis plays a notable role in the study, too.

The authors find that manager-academics of the two examined faculties have rather similar conceptual understandings of research quality. However, there were differences in the degree of slippage between the “espoused-meaning” of research quality and “meaning-in-practice” of research quality. The authors traced these differences to how the local PMS and manager-academics’ agency relate to one another within the context of increasing global and national performance pressures. The authors developed a tentative framework for the various “styles of agency”. This suggests how the relationship between the local PMS and manager-academics’ exerted agency shapes the “degrees of freedom” of the meaning of research quality in practice.

Given that research quality lies at the heart of academic work, the authors' paper indicates that exploring the three matters – performance measurement, the agency of manager-academics and the meaning of research quality in practice – in combination is crucial for the sustainability of the academe. The authors contribute to the literature by detailing the way in which local PMS and manager-academics' agency have material impacts on what research quality means in practice. The authors conclude by highlighting the pressing need for manager-academics to exercise the agency in efforts to safeguard a broad and pluralistic understanding of research quality in practice.

Scholars often aim to conduct high quality research and their success is judged primarily by peer reviewers. Research quality is difficult for either group to identify, however and misunderstandings can reduce the efficiency of the scientific enterprise. In response, we use a novel term association strategy to seek quantitative evidence of aspects of research that are associated with high or low quality.

We extracted the words and 2–5-word phrases most strongly associated with different quality scores in each of 34 Units of Assessment (UoAs) in the Research Excellence Framework (REF) 2021. We extracted the terms from 122,331 journal articles 2014–2020 with individual REF2021 quality scores.

The terms associating with high- or low-quality scores vary between fields but relate to writing styles, methods and topics. We show that the first-person writing style strongly associates with higher quality research in many areas because it is the norm for a set of large prestigious journals. We found methods and topics that associate with both high- and low-quality scores. Worryingly, terms associated with educational and qualitative research attract lower quality scores in multiple areas. REF experts may rarely give high scores to qualitative or educational research because the authors tend to be less competent, because it is harder to do world leading research with these themes, or because they do not value them.

This is the first investigation of journal article terms associating with research quality.

This research intends to undertake a rigorous bibliometric analysis of product quality research trends and patterns, map the intellectual and social structure of the field, identify the predominant themes and propose a transition plan for future work in this discipline.

The procedure was carried out in a step-by-step manner. Following a specified search string, Scopus retrieved 1454 journal articles from the previous 39 years (1984–2022). To comprehend the field’s base, various techniques of performance analysis and science mapping were employed using RStudio and VOSviewer.

In light of the results, both the volume and influence of product quality studies have surged over the past four decades, with most works appearing in prestigious academic journals. A number of cross-country product quality collaborations took place in nations with little geographic, historical, or cultural proximity. Using co-citation analysis, five distinct subfields were identified within the literature on product quality. Finally, the use of co-word analysis helps understand the field’s underlying themes and concludes with a set of potential research avenues built on a content analysis of the articles from each of the five subfields.

To the authors' understanding, this study represents a pioneering effort to examine the research field on product quality using bibliometric analysis. Notwithstanding being rooted in scientometrics, this research’s outcomes are instructive for practitioners, academics and aspiring researchers in the field.

Researchers have opined that the quality of commitment to pedagogical approaches by lecturers is one of the most important factors in determining student academic success. The purpose of this paper is to analyse the mediating effect of research informed teaching on the relationship between lecturer commitment to use of pedagogical approaches and teaching quality, with a view towards enabling delivery of high quality teaching and learning in HEIs.

The research is based on an online survey of the perception of 186 undergraduate and postgraduate students in four major UK universities. Covariance-based structural equation modelling (SEM) methodology was used to quantity and clarify the influence of lecturers' pedagogical attributes on teaching quality, mediated by research-informed teaching.

Findings reveal that: lecturers' pedagogical attributes have significant positive effect on teaching quality, research-informed teaching have significant positive effect on teaching quality, lecturers' pedagogical attributes have weak positive effect on research-informed teaching, and research-informed teaching partially mediates (indirect effect) the relationship between lecturers' pedagogical attributes and teaching quality.

Structural equation models are useful for clarifying concepts in pedagogy and have implications for education managers on how to improve teaching and learning in HEIs.

The paper presents a unique quantitative model for measuring the degree of teaching quality in universities.

Big data marketing analytics (BDMA) has been discovered to be a key contributing factor to developing necessary marketing capabilities. This research aims to investigate the impact of the technology and information quality of BDMA on the critical marketing capabilities by differentiating between firms with low and high perceived market performance.

The responses were collected from marketing professionals familiar with BDMA in North America (N = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).

The results indicated positive and significant relationships between the information and technology quality as exogenous constructs and the endogenous constructs of the marketing capabilities of marketing planning, implementation and customer relationship management (CRM) with mainly moderate effect sizes. Differences in the path coefficients in the structural model were detected between firms with low and high perceived market performance.

This research indicates the critical role of technology and information quality in developing marketing capabilities. The study discovered heterogeneity in the sample population when using the low and high perceived market performance as the source of potential heterogeneity, the presence of which would likely cause a threat to the validity of the results in case heterogeneity is not considered. Thus, this research builds on previous research by considering this issue.

To assess whether interdisciplinary research evaluation scores vary between fields.

The authors investigate whether published refereed journal articles were scored differently by expert assessors (two per output, agreeing a score and norm referencing) from multiple subject-based Units of Assessment (UoAs) in the REF2021 UK national research assessment exercise. The primary raw data was 8,015 journal articles published 2014–2020 and evaluated by multiple UoAs, and the agreement rates were compared to the estimated agreement rates for articles multiply-evaluated within a single UoA.

The authors estimated a 53% agreement rate on a four-point quality scale between UoAs for the same article and a within-UoA agreement rate of 70%. This suggests that quality scores vary more between fields than within fields for interdisciplinary research. There were also some hierarchies between fields, in the sense of UoAs that tended to give higher scores for the same article than others.

The results apply to one country and type of research evaluation. The agreement rate percentage estimates are both based on untested assumptions about the extent of cross-checking scores for the same articles in the REF, so the inferences about the agreement rates are tenuous.

The results underline the importance of choosing relevant fields for any type of research evaluation.

This is the first evaluation of the extent to which a careful peer-review exercise generates different scores for the same articles between disciplines.

This paper aims to conduct a systematic review of the literature on the quality of integrated reports (IR) and highlight the gaps in the existing research to provide directions and suggestions for future research.

This study was conducted through a systematic literature review using content analysis based on 40 papers from the Scopus, Web of Science and EBSCOhost databases on IR quality. While reading the full-text papers, the authors found six additional papers referenced by the literature being reviewed that were relevant to IR quality. Thus, there were 46 papers in the final review. The analysis begins with the definition and dimension of IR quality and theoretical lenses. Furthermore, this study outlines constructs or variables used in the previous literature.

The authors found that most studies used the quantitative method (41 papers or 89%). Five papers in the literature used qualitative methods (11%). Most researchers (34 papers or 72%) defined IR quality as consistent with the International Integrated Reporting Council framework, specifically the eight content elements. In particular, with the constructs that make up the quality of the IR, variations between researchers were found. Furthermore, there were some gaps that could be the directions for future research.

The literature that provides academic knowledge about IR quality is still limited, and research on IR is still growing. The literature review conducted by this study can provide an overview of the current research positions on the quality of IR and directions for future research in this area.

This study intends to show corporate executives a framework demonstrating the quality of corporate reporting. It can impact not only investors as a specific stakeholder group but also other stakeholder groups.

To the best of the authors’ knowledge, this study is the first literature review to examine the quality of IR, thus providing a map of current research to suggest directions for future research. Most of the previous literature reviews have been focused on integrated reporting (IR) in general and not quality.

The desired outcome in the new product development (NPD) effort is the timely commercialization of a profitable product. Whether marketing can benefit from the NPD case study is a critical but underresearched issue. The purpose of this study is to investigate the usage and quality of NPD case studies in business and industrial marketing.

To investigate the prevalence and research quality of case studies on NPD in business and industrial marketing, 317 case studies published in mainstream journals over the past decade (2010–2020) are reviewed.

This study finds that the distribution of quantity and quality of case studies fluctuates across journals. The scores on the evaluation template for the different case study stages vary widely across journals. This indicates that different journals have different criteria and priorities for NPD case studies. By focusing on different issues, enterprises can quickly find appropriate journals and case results according to their own needs.

This paper can help spark a debate about the implementation and quality of NPD case studies, including future studies and practical applications. To the best of the authors’ knowledge, no similar study has been found in existing studies.

This research aims to analyze the literature on Quality 4.0 and pinpoint the essential factors contributing to its success. Additionally, the research aims to develop a framework that can be used to create a capable workforce necessary for the successful implementation of Quality 4.0.

By following a systematic approach, the authors could ensure that their literature review was comprehensive and unbiased. Using a set of pre-determined inclusion and exclusion criteria, the authors screened 90 research articles to obtain the most relevant and reliable information for their study.

The authors' review identified essential findings, including the evolution of literature in the field of Quality 4.0 and the systematization of previous literature reviews focusing on training and development. The authors also identified several training barriers to implementing Quality 4.0 and proposed a model for building a competent workforce using Kolb's experiential learning model.

The authors' research offers insights into the training barriers that must be considered when building a competent workforce. Using the framework proposed in the authors' research, consultants and managers can better integrate Quality 4.0 into their organizations.

The adoption of Quality 4.0 has significant social implications and is essential for advancing sustainability. It can improve efficiency, reduce waste, minimize environmental impacts and better meet the needs and expectations of stakeholders.

The authors' study stands out as one of the earliest reviews of the literature on Quality 4.0 to incorporate the theory-context-method (TCM) framework, allowing to provide unique insights into future research directions that had not been previously explored.

The purpose of this study is to examine the link between knowledge-oriented leadership (KOL) and organizational performance (OP) at Higher Education Institutions (HEIs) both directly and indirectly through service innovation and knowledge-sharing quality.

This research used Smart PLS 4.0 to model structural equations using a sample comprising 237 academic staff from HEIs in China.

According to the study data, KOL has a negligible direct influence on organizational performance. The link between KOL and OP, on the other hand, is entirely mediated by the quality of knowledge sharing quality and service innovation.

The study results validate universities' experience with KOL and propose ways for academics at higher education institutions to prioritize the quality of knowledge sharing and service innovation, which in turn helps organizations function better in a volatile environment.

Despite the growing relevance of knowledge-oriented leadership in higher education, little research has been conducted to examine the mediating impact of numerous factors in the link between KOL and OP. The present research examines the link between knowledge-oriented leadership, the quality of knowledge sharing, service innovation and the performance of higher education institutions. The current study scientifically investigates the link between KOL and OP and offers insight into the existing literature by examining the mediating role of KSQ and SI.