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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.

Sustainable buildings are designed to minimise the adverse impacts of buildings on users, occupants, communities and the environment while enhancing client investment, contractors’ productivity and profit margins. However, sustainable buildings often experience significant rework. This research aims to evaluate the complex interrelationships among the causes of rework in sustainable buildings using structural equation modeling (SEM) techniques. By testing the theory and validating a framework addressing the causes of rework in sustainable buildings, the construction sector can make a meaningful contribution towards a sustainable future.

The study developed a questionnaire comprising 24 identified causes of rework in sustainable buildings, derived from an extensive literature review and field observations. The causes were evaluated using a 4-point Likert scale, ranging from less occurrence to very high occurrence. The survey was administered to construction professionals via online platforms and direct hand delivery.

The identified causes of rework were grouped into four components through exploratory factor analysis (EFA) and subsequently validated using SEM. These components are competency, information, framework and plan. While the measurement model demonstrated robustness, the structural model indicated the need for further refinement. The study provides actionable strategies to mitigate rework, supporting the advancement of sustainable practices within the construction sector.

The findings of this research carry substantial theoretical and practical significance for advancing knowledge and practices in the sustainable buildings market. Theoretically, the study enriches the understanding of rework causes and their interrelationships, providing a foundation for future research. Practically, the results serve as a vital resource for stakeholders in the construction sector and offer actionable insights to enhance decision-making, improve project outcomes and foster sustainable building practices.

This study proposes a new framework for business process improvement (BPI) by identifying areas of improvement based on customer complaints.

The proposed framework comprises several stages. The first stage captures the voice of customer (VoC) in the form of customer complaints. The complaints are processed using text mining and sentiment analysis. Negative sentiments indicate areas for improvement by matching words with SERVQUAL dimensions. The FMEA method is used to identify business processes that need to be improved.

The opposing quality dimensions of SERVQUAL can be incorporated into a database for later identifying consumer complaints. FMEA can be used to identify potential failures in aspects that correspond to consumer complaints; therefore, improvement areas can be identified. The proposed framework, applied to a garment manufacturer, shows that the SERVQUAL dimensions, which were originally intended for service companies, can be adapted to manage customer complaints to support BPI in manufacturing companies.

The framework can be used by either the manufacturing or service industries to handle customer complaints and use the complaint analysis results to identify improvement areas to avoid the same complaints occurring in the future.

In this study, the construction of a database based on the SERVQUAL dimension to match sentiment results, where negative sentiment indicates improvement, and the use of FMEA to indicate specific business processes that should be improved is novel and has not yet been proposed by previous studies.

The purpose of the study is to determine how signals of market orientation and brand storytelling affect the evaluation of start-ups by Shark Tank judges.

The authors analyzed 430 Shark Tank pitches to test their hypotheses. Their expert annotations based on elements of their conceptual model pave the way for them to deploy a large language model that gives us unique psycholinguistic insights into the start-up pitches.

The authors find that market responsiveness and external disadvantage and passion and determination in brand storytelling have a significant impact on the evaluations of start-ups by investors.

The research is set in an early-stage venture context in the US.

The research findings on business-to-investor interactions can benefit B2B marketers, start-ups and investors.

Their research which draws conceptual inspiration from the resource-based view of the firm and the signaling theory is unique in that the authors use cutting edge large-language model tools to draw psycholinguistic B2B insights from the Shark Tank interactions.

This study seeks to investigate the impact of service quality on patient loyalty in the context of hospital pharmacy services, taking into consideration the moderating effect of illness condition. The findings shed light on the significance of various dimensions of service quality in fostering patient loyalty.

The data for this study were obtained through a questionnaire survey administered to patients who had used services provided by a hospital pharmacy in Thailand. To ensure a qualified sample, the participants were purposively chosen and approached to inquire about their willingness to participate in the research.

The results demonstrate that all service quality dimensions including technical quality, non-prescription service, physical quality, relationship quality and health and medicine advice had significantly positive effects on patient loyalty. Additionally, the findings reveal a significant difference in the level of relationship quality between patients in the acute group and those in the chronic group.

The research results offer recommendations for hospital administrators to enhance the quality of service in hospital pharmacies, leading to increased patient loyalty. Moreover, it provides guidance for hospital pharmacists to tailor their approach according to the illness conditions of the patients.

This study extends the existing knowledge on the service quality dimension by examining how various dimensions influence patient loyalty. Furthermore, it explores how these impacts are moderated by illness condition.