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Construction experts acknowledge the adverse effects of rework on project performance. However, the limited understanding of its underlying causes remains a significant challenge. Therefore, this study aimed to thoroughly investigate the sources of construction rework.

A mixed review using bibliometric analysis as a quantitative method and content analysis as a qualitative method was performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of major research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 107 journal articles on rework causes from 1991 to 2023. RStudio Bibliometrix, an R statistical programming package, was used to analyze rework origins. This method involved mapping the research landscape, identifying research gaps and analyzing emerging trends.

The causes of rework can be classified into three main clusters: human- and contractual-based rework causes, design-, quality- and project management-based rework causes and organizational-based rework causes.

Although several studies have addressed rework causes from various perspectives and methods, the topic has not been investigated holistically. This study is the first to leverage the quantitative and qualitative analytical capabilities of the RStudio Bibliometrix package. Innovative approaches, including the use of metrics, such as the h-index, thematic mapping and trend topic analysis, were employed for a comprehensive understanding of rework causes.

The objective of this paper is to further the understanding of netnography as a research method for supply chain academics. Netnography is a method for gathering and gaining insight from industry-specific online communities. We prescribe that viewing netnography through the lens of the supply chain will permit researchers to explore, discover, understand, describe or report concepts or phenomena that have previously been studied via survey research or quantitative modeling.

To introduce netnography to supply chain research, we propose a framework to guide how netnography can be adopted and used. Definitions and directions are provided, highlighting some of the practices within netnographic research.

Netnography provides the researcher with another avenue to pursue answers to research questions, either alone or in conjunction with the dominant methods of survey research and quantitative modeling. It provides another tool in the researchers’ toolbox to engage practitioners in the field.

The development of netnography as a research method is associated with Robert Kozinets. He developed the method to study online communities in consumer behavior. We justify why this method can be applied to supply chain research, how to collect data and provide research examples of its use. This technique has room to grow as a supply chain research method.

This paper aims to develop a conceptual framework informed by a literature review. This framework aims to deepen and broaden the understanding of the relationship between corporate governance mechanisms and non-financial reporting (NFR) through qualitative research approaches.

A review of corporate governance and NFR literature and existing research frameworks leads to the development of a conceptual framework to encourage future qualitative accounting research on the corporate governance mechanisms for NFR.

Few studies consider the complex interrelationships between NFR and corporate governance mechanisms. Quantitative studies using secondary data sources dominate accounting research on the topic. Of the small number of qualitative studies, many are theoretical and offer little new knowledge about the effectiveness of corporate governance mechanisms in practice. The research framework, developed from a literature review and consideration of multiple qualitative approaches, proposes numerous avenues for future research.

This paper is based on a scoping review of the literature using peer-reviewed journal papers. Other researchers may have identified additional literature for inclusion, including grey literature.

More qualitative research into NFR and corporate governance mechanisms may help to guide practitioners seeking to incorporate sustainability into their governance practices.

The critical relationship between NRF and corporate governance is under-explored in research yet has significant consequences for organisations pursuing sustainability.

The authors develop a conceptual framework for qualitative accounting research on NFR and corporate governance, addressing key outstanding questions in this area and considering different theoretical perspectives when approaching this critical topic. Although there is scope for further research in general in this promising area, including quantitative reviews and discursive studies, qualitative research would be of particular value. The authors also outline multiple directions for nurturing academic debate.

The purpose of this study is to identify the impact of online learning on university librarians’ professional development and library services.

A mixed-methods study through an explanatory research design was applied to address the study’s objectives. Quantitative data were gathered from 341 librarians working in 221 universities, while qualitative data were gathered from 27 experts working in 21 different universities of Pakistan.

The findings of the study revealed that online learning has a significant positive impact on the professional development of university librarians. Results revealed that online learning assists in the provision of sustainable, innovative library services in university libraries.

The study has offered a model in light of the study's quantitative and qualitative findings. It contributes to theoretical understanding by expanding the existing knowledge base. It offers managerial insights, enabling the development of policies that foster the professional development of library personnel and the implementation of smart library services.

The aim of this research is to investigate the impact of thermal, acoustic and HVAC upgrades on the perception of the quality of life among residential building occupants.

The present study used a quantitative research approach, utilizing a questionnaire as the research instrument. A survey was conducted with 1,119 residential apartment building occupants in Prishtina, Kosovo, using a stratified random sampling method for selection of participants.

The present study used quantitative research with a questionnaire as the research instrument. The survey was conducted with 1,119 residential apartment building occupants in Prishtina, Kosovo, using stratified random sampling. The study found that thermal retrofits, acoustic retrofits and HVAC upgrades as a whole model affect the perception of the quality of life of residential building occupants in Prishtina, Kosovo. However, the study found that not all dimensions of the constructed research model (thermal, acoustic and HVAC) affect the perception of the quality of life of residential building occupants. Specifically, thermal retrofitting seems to strongly influence the perception of quality of life, while HVAC upgrades do not seem to have an impact on the quality of life of occupants. Finally, acoustic retrofits also influence the perception of the quality of life, although not to the same degree as thermal retrofitting.

The present study contributes to understanding the role that thermal retrofits, acoustic retrofits and HVAC upgrades play in the perception of quality of life by building occupants in an understudied region with a booming real estate sector such as Kosovo. The study also highlights the need for further analysis to understand why HVAC upgrades do not seem to influence the perception of quality of life by residential building occupants in Kosovo.

The present study is the first to quantify the impact of thermal, acoustic and HVAC upgrades on the perception of the quality of life of residential building occupants in Prishtina, Kosovo.

Positive experiences with working from home (WFH) during the Corona pandemic (COVID-19) have motivated many employees to continue WFH after the pandemic. However, factors influencing employees' WFH intentions against the backdrop of experiences during pandemic-induced enforced working from home (EWFH) are heterogeneous. This study investigates factors linked to information technology (IT) professionals' WFH intentions.

This mixed-methods study with 92 IT professionals examines the effects of seven predictors for IT professionals' WFH intentions. The predictors are categorized according to the trichotomy of (1) characteristics of the worker, (2) characteristics of the workspace and (3) the work context. Structural equation modeling is used to analyze the quantitative survey data. In addition, IT professionals' responses to six open questions in which they reflect on past experiences and envision future work are examined.

Quantitative results suggest that characteristics of the worker, such as segmentation preference, are influencing WFH intentions stronger than characteristics of the workspace or the work context. Furthermore, perceived productivity during EWFH and gender significantly predict WFH intentions. Contextualizing these quantitative insights, the qualitative data provides a rich yet heterogeneous list of factors why IT professionals prefer (not) to work from home.

Reasons influencing WFH intentions vary due to individual preferences and constraints. Therefore, a differentiated organizational approach is recommended for designing future work arrangements. In addition, the findings suggest that team contracts to formalize working patterns, e.g. to agree on the needed number of physical meetings, can be helpful levers to reduce the complexity of future work that is most likely a mix of WFH and office arrangements.

This study extends literature reflecting on COVID-19-induced changes, specifically the emerging debate about why employees want to continue WFH. It is crucial for researchers and practitioners to understand which factors influence IT professionals' WFH intentions and how they impact the design and implementation of future hybrid work arrangements.

In urban planning, sustainability is closely linked to the quality of urban public spaces (UPS). However, some UPS encounter issues of low attractiveness and underutilisation. Vitality serves as a crucial measure in this context. The research perspective on the vitality of UPS centres on the balance between human activities and the built environment. Therefore, this article aims to systematically review critical aspects of UPS vitality evaluation system, including research objects, vitality components and research methods, from the dimensions of crowd activity and the built environment.

A systematic literature review using PRISMA analysed English-language publications from 2008 to 2023 in Scopus and Web of Science (WOS) databases, employing keywords related to UPS and vitality, with defined inclusion and exclusion criteria.

(1) Research objects, including parks, squares, waterfronts, blocks and streets. (2) The factors contributing to crowd activity characteristics originate from five dimensions, namely spatial, temporal, visitor, activity and feedback. Environmental factors, both external (accessibility, surrounding function mix and population density) and internal (service facility mix and water presence), significantly impact vitality. (3) The study primarily relies on quantitative data, including traditional surveys and emerging significant data sources like dynamic location and traffic, social media, geospatial and point of interest (POI) data. Data analysis methods commonly used include correlation analysis and comprehensive evaluation techniques.

The findings contribute to a comprehensive understanding of the vitality evaluation system for UPS from multiple perspectives for urban planners, aiding in identifying key factors and research methods in the vitality evaluation of various types of UPS.

Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods.

The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles.

(1) According to the coding results, Depression Prediction and Linguistic Characteristics and Information Behavior are the two most popular themes. The theme of Patient Needs has progressed over the past few years. Still, there is a lesser focus on Stigma and Antidepressants. (2) Researchers prefer quantitative methods such as machine learning and statistical analysis to qualitative ones. (4) According to the analysis of the data collection platforms, more researchers used comprehensive social media sites like Reddit and Facebook than depression-specific communities like Sunforum and Alonelylife.

The authors recommend employing machine learning and statistical analysis to explore factors related to Stigmatization and Antidepressants thoroughly. Additionally, conducting mixed-methods studies incorporating data from diverse sources would be valuable. Such approaches would provide insights beneficial to policymakers and pharmaceutical companies seeking a comprehensive understanding of depression.

This article signifies a pioneering effort in systematically gathering and examining the themes and methodologies within the intersection of health-related texts on social media and depression.

Before psychological research is used for policy reforms and recommendations, it is important to evaluate its replicability, generalizability and practical relevance. This paper aims to examine these three criteria for published articles in the Journal of Criminal Psychology.

Through a literature search for published articles in the Journal of Criminal Psychology related to the topics of the special issue Contemporary Developments in the Retrieval and Evaluation of Witness Testimony: Towards making research more applicable to investigations, this paper identified 158 eligible articles. For each article, this paper extracted variables related to the type of article, reported p-values, type of sample and stimuli, power analyses and conducted analyses and how effect sizes were used and interpreted. This paper analyzed these variables descriptively and conducted a z-curve analysis.

In terms of generalizability, the articles examined populations of interest (e.g. offenders, prisoners) and there was no sole reliance on Western, Educated, Industrial, Rich and Democratic samples. However, for replicability, there were currently no replication studies or published Registered Reports and the z-curve analysis indicated a low expected replication rate. Moreover, when examining practical relevance, almost no power analyses were conducted and when they were conducted, they were not reproducible or did not use meaningful effect sizes. Finally, although the majority of studies reported effect sizes, they were oftentimes not interpreted.

The present study sheds light on the potential societal impact of published articles in the Journal of Criminal Psychology.

Influenced by factors such as fluctuations in market supply and demand and the rapid development of new technologies, manufacturing companies are facing greater challenges to transform and upgrade. The existing relevant studies about sustainable innovation capabilities mostly focus on classification of innovation or from a static resource-based view and less on quantitative measurement from a dynamic perspective and inter-organizational relationships. This paper takes a dynamic capabilities and social capital theory, explore the concept and dimensions of sustainable innovation capabilities and then makes development of a new scale.

This paper uses a combination of qualitative and quantitative research methodologies to develop a measure of sustainable innovation capabilities in two studies. Grounded theory methodology is used to explore the concept definition and dimensions of sustainable innovation capabilities. Exploratory factor analysis and confirmatory factor analysis are conducted to refine and validate the factor structure, and then the authors developed the sustainable innovation capabilities scale.

The results show that sustainable innovation capabilities composed of ideation capabilities, opportunity capture capabilities, agile learning, creative inheritance and networking capabilities. The sustainable innovation capabilities that firms should possess are reflected at the firm level and inter-organizational relationship level, and the culture-specific dimension of creative inheritance reflects the influence of national and organizational culture.

The research reveals the internal driving force of the manufacturer's sustainable innovation capabilities, as well as the role and uniqueness embodied in the specific culture, providing a new perspective for improving the manufacturer's sustainable innovation capabilities.