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Little is known about the extent to which management and engineering publications dedicated to the study of quality management topics make use of mixed methods, what types of studies have been conducted and how effective mixed methods have been. The aim of the current paper is to analyse how mixed methods have been used in quality management research.

To address this purpose, a bibliometric analysis was conducted of papers using mixed methods designs to investigate quality management issues and published in the SCOPUS database. CiteSpace software was used to assist in the categorisation and mapping process.

Ninety articles were identified and analysed. The results show that mixed methods are mainly used either to compare different perspectives drawn from quantitative and qualitative data or to develop better measurement instruments. Sequential mixes occur more often than concurrent approaches. Moreover, there is a link between the purpose of the study and the approaches followed to combine qualitative and quantitative methods. Yet, the contribution of the use of mixed methods to achieving the aims of the study is not easy to assess as the purposes of using mixed methods are often not clearly stated.

As one of the first papers to examine how qualitative and quantitative methods are being combined in quality management research, this study is expected to contribute to the literature by providing some insights into how mixed methods can be more effectively used in this field.

The study explores the barriers to ESG adoption and develops a hierarchical relationship between identified barriers to determine the driving and dependence power.

Through literature and unstructured interviews nine barriers affecting the adoption of ESG reporting were identified and examined using the modified Total Interpretive Structural Modelling (m-TISM) approach. Further, MICMAC analysis is used to analyse the driver-dependence power amongst the barriers.

In this analysis, the variable lying at the lowest level of hierarchy are considered to be the critical factor and lack of clarity around regulatory and reporting standards is found to be very critical for ESG adoption. To address impediments to ESG adoption, the government should make ESG disclosure mandatory and clearly explain the rules, regulations and advantages associated with ESG implementation.

The current study is very few among examining the barriers to ESG adoption and steppingstone towards the mandatory implementation of ESG disclosures in current scenario.

This study aims to identify the updated areas in family business innovation (FBI) and propose a future research agenda for scholars in the domain.

Using VOSviewer and Bibliometrix-R, this study conducts a bibliometric analysis on 699 Scopus-indexed journal articles/reviews to analyse FBI’s performance and intellectual structure.

This study provides up-to-date assessment through performance analysis. Through the co-citation, co-word and thematic evolution analysis, this study unpacks FBI themes/topics to propose possible future avenues.

The findings provide insights into resilient innovation-driven family businesses to enlighten the next generation of family business leaders with essential innovation knowledge for sustainable growth.

This study complements past FBI reviews by offering renewed perspectives that future research can focus on, in turn, enhancing literature on contemporary, relevant topical issues in the FBI post-COVID-19 pandemic.

The purpose of this study is to investigate the extent to which TQM has influenced the legal system in Australia, an area seldom investigated in the quality or legal literature.

Documentary and policy analysis of legislation, rules and rulemaking documentation based on a partial application of historical-policy analysis (HPA). Textual analysis was based on Dean and Bowen's (1994) definition of TQM and Vinni's (2007) review of new public management and Swiss (1992) “reformed TQM” concepts.

Australia's Tertiary Education Quality and Standards Agency Act of 2011 and supporting legal documents such as Guidance Notes include language reflective of TQM principles, providing evidence that present-day administrative law schemes include TQM practices and tools to undergird procedures of regulatory expectations (sometimes in the form of standards), monitoring and general operations. Oftentimes, it is the supporting legal documentation where TQM practices are found and operationalized.

This is a proof-of-concept research study to determine the feasibility to identify TQM concepts within the existing language of legal statutes and supporting regulatory documentation. As such this study worked out the preliminary research challenges in performing this type of analysis.

Understanding TQM's impact on legal systems expands the system's perspective of organizations that do not always factor in the influence government policy has on organizational behaviours and outlooks. More specifically, understanding TQM's influence sheds insight on regulatory requirements imposed on a sector and the normative aspects of regulatory compliance that impact the operations and strategic planning of organizations.

The article provides an example of how legal administrative rulemaking influences organizational operational and strategic activities to remain viable in the organization's business or industrial sector.

There are few research papers or literature reviews pertaining to the subject of TQM concepts embedded in laws and regulations, most of which date from the 1980s through early 2000s.

This paper aims to present a summary of the green consumer behaviour (GCB) research conducted during the 2001–2021 period using the bibliometric analysis and to carry out a thematic and content analysis on the three clusters which comprise 57 articles resulting from the co-citation analysis and identify the significant green purchasing factors.

The three-pronged methodology applied to this research analysis includes performance analysis of the literature using biblioshiny and R Studio; network mapping analysis using VOSviewer and Gephi; thematic analysis using word clouds generated with R Software and content analysis of each paper with the aid of within and between-study analyses.

Cluster one acted as a base for the theoretical foundations of GCB which aids in understanding the basic concepts of green marketing, its evolution and the methodologies, whereas cluster two determined the predictors of everyday green behaviour, which helps in gaining knowledge about the everyday sustainable activities the consumers indulge and the factors motivating to do so. Cluster three mainly focused on the psycho-socio demographic determinants of GCB, which assists in segmentation and predicting the purchase behaviour of the various consumer segments.

The significant variables and major gaps in each of the clusters were identified and authors have drawn the implications for future researchers and marketing managers.

Institutional trust is vital for social and economic activity and crucial in reducing uncertainty for entrepreneurs and society. To shed light on the role of institutional trust on productive entrepreneurial activity, this paper analyses the impact of six urban entrepreneurial ecosystems (EEs) using the contexts of the transition economies of Eastern Europe, Caucasus and Central Asia. This study aims to pursue the research question: what role does institutional trust play in the relationship between formal institutions and productive entrepreneurship in the EEs of transition economies? This paper aims to posit that the development and enforcement of formal institutions and institutional trust enhance productive entrepreneurship.

In this study, the authors apply a mixed-method approach. The authors’ dataset includes 657 respondents (ecosystem stakeholders) from six city-level entrepreneurial ecosystems in the transition economies of Georgia, Ukraine and Kazakhstan, as well as 51 semi-structured interviews from EE representative stakeholders to examine the validity of the findings.

Institutional trust in many cities has been negatively affected by institutionalised corruption and continuous non-transparent reforms, furthering prior research in developing and transition economies. The authors’ findings suggest that institutional trust can be investigated not as a country phenomenon but as a regional phenomenon extending prior research towards understanding the institutional trust – productive entrepreneurship research domain at the city EE level.

The authors apply the institutional trust perspective to the EEs in cities in order to examine how institutional trust affects productive entrepreneurship in challenging institutional environments. The authors contribute to the literature on institutions and entrepreneurship by using a mixed-method analysis to examine the relationship between formal institutions and institutional trust in the context of EEs in transition economies.

Despite the vast potential of mobile phone use, grape smallholder farmers’ satisfaction with mobile phone use has attracted insufficient attention among scholars in Tanzania. The study examined factors influencing satisfaction with mobile phone use for accessing agricultural marketing information.

The study used a cross-sectional research design and a mixed research method. Structured questionnaire and focus group discussions were used to collect primary data from 400 sampled grape smallholder farmers. Data were analysed inferentially involving two-way analysis of variance, ordinal logistic regression and thematic analysis.

The findings indicate a statistically significant disparity in grape smallholder farmers’ satisfaction across different types of agricultural marketing information. Grape smallholder farmers exhibited higher satisfaction levels concerning information on selling time compared to all other types of agricultural marketing information (price, buyers, quality and quantity). Factors influencing grape smallholder farmers’ satisfaction with mobile phone use were related to perceived usefulness, ease of use, experience and cost.

This study contributes to scientific knowledge by providing actionable insights for formulating unique strategies for smallholder farmers’ satisfaction with agricultural marketing information.

The discourse on global value chains (GVC) is undergoing a transformation in terms of its conceptualisation, theorisation and pragmatic applications. Today, the production systems have become more complex as global economic order continues to witness marked geo-economic manoeuvring. Thus, the direction of discourse on GVC ought to move from mere theoretical propositions toward becoming more evidence based. There have been recent studies that have used the governance and upgrading propositions by Gary Gereffi and others to seek quantitative evidence. This study aims to decipher the quantitative discourse on GVC and to set the emerging and future research agenda.

Through a systematic literature review, the authors first analyse the quantitative studies on GVC carried out during the last two decades. The authors then outline a future research agenda and examine a few relevant modelling techniques that could potentially be used to solicit newer evidence in GVC research.

The authors categorise the quantitative discourse on GVC into three crucial themes, namely, GVC framework, GVC participation and position, environmental aspects and regionalisation in GVC. The most commonly used quantitative techniques are gravity model, panel data estimation, structural decomposition analysis and computable general equilibrium modelling.

This paper contributes to the GVC discourse in two ways. Firstly, the authors argue that the theoretical frameworks within the GVC discourse should be complemented by evidence-based quantitative studies. Secondly, the authors suggest potential modelling techniques that can be used on the emerging and future research agenda.

This study aims to identify and evaluate the key strategies to promote the implementation of automation techniques with reference to the Nigerian construction industry.

Pragmatic philosophical thinking using a mixed-method approach (a combination of qualitative and quantitative) was adopted for this study. The qualitative strand of this research was achieved using a Delphi technique while a well-structured questionnaire conducted among 191 construction professionals was adopted to attain the quantitative strand. Obtained data were analyzed using frequencies, percentages, mean item scores, Kruskal–Wallis H test and exploratory factor analysis (FA).

Results revealed that the “provision of funding and subsidies for automation techniques” “mandatory automation policies and regulations,” “creating incentives for adoption,” “formulation of programs to promote awareness” and “deploying gamification to boost employee performance” were the top five strategies to promote the adoption of automation techniques. FA revealed four principal clusters, namely, awareness and publicity programs, government regulations and standards, provision of education and training and awards and recognition.

This study provided a solid theoretical and empirical foundation that can be useful to construction industry stakeholders, decision-makers, policymakers and the government in mapping out strategies to promote the incorporation and deployment of automation and robotics in the construction industry.

To the best of the authors’ knowledge, this study is one of the first in developing countries and Nigeria to establish an ordered grouping structure of the strategies to promote the adoption of automation techniques.

This study aims to understand and a lay a foundation of how analytics has been used in depression management, this study conducts a systematic literature review using two techniques – text mining and manual review. The proposed methodology would aid researchers in identifying key concepts and research gaps, which in turn, will help them to establish the theoretical background supporting their empirical research objective.

This paper explores a hybrid methodology for literature review (HMLR), using text mining prior to systematic manual review.

The proposed rapid methodology is an effective tool to automate and speed up the process required to identify key and emerging concepts and research gaps in any specific research domain while conducting a systematic literature review. It assists in populating a research knowledge graph that does not reach all semantic depths of the examined domain yet provides some science-specific structure.

This study presents a new methodology for conducting a literature review for empirical research articles. This study has explored an “HMLR” that combines text mining and manual systematic literature review. Depending on the purpose of the research, these two techniques can be used in tandem to undertake a comprehensive literature review, by combining pieces of complex textual data together and revealing areas where research might be lacking.