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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.

Abnormal behaviors such as rework, backlog, changes and claims generated by project organizations are unavoidable in complex projects. When abnormal behaviors emerge, the previously normal state of interactions between organizations will be altered to some extent. However, previous studies have ignored the associations and interactions between organizations in the context of abnormal organizational behaviors (AOBs), making this challenging to cope with AOBs. As a result, the objective of this paper is to explore how to reduce AOBs in complex projects at the organizational level from a network perspective.

To overcome the inherent limitations of a single case study, this research integrated two data collection methods: questionnaire survey and expert scoring method. The questionnaire survey captured the universal data on the influence possibility of AOBs between complex project organizations and the expert scoring method got the influence probability scores of AOBs between organizations in the case. Using these data, four organizational influence network models of AOBs based on a case were developed to demonstrate how to destroy AOBs networks in complex projects using network attack theory (NAT).

First, the findings show that controlling AOBs generated by key organizations preferentially and improving the ability of key organizations can weaken AOBs network, enabling more effective coping strategies. Second, the owners, government, material suppliers and designers are identified as key organizations across all four influence networks of AOBs. Third, change and claim behaviors are more manageable from the organizational level.

Project managers can target specific organizations for intervention, weaken the AOBs network by applying NAT and achieve better project outcomes through coping strategies. Additionally, by taking a network perspective, this research provides a novel approach to comprehending the associations and interactions between organizations in the context of complex projects.

This paper proposes a new approach to investigating AOBs in complex projects by simultaneously examining rework, backlog, change and claim. Leveraging NAT as a novel tool for managing the harmful effects of influence networks, this study extends the knowledge body in the field of organizational behavior (OB) management and complex project management.

The construction industry has struggled to deliver schemes on time to budget and right-first-time (RFT). There have been many studies into nonconformance and rework through quantitative research over the years to understand why the industry continues to see similar issues of failure. Some scholars have reported rework figures as high as 12.6% of total contract value, highlighting major concerns of the sustainability of construction projects. Separately, however, there have been few studies that explore and detail the views of industry professions who are caught in the middle of quality issues, to understand their perceptions of where the industry is failing. As such, this paper interrogates qualitative data (open-ended questions) on the topic of nonconformance and rework in construction to understand what industry professionals believe are the causes and suggested improvement areas.

A qualitative approach is adopted for this research. An industry survey consisting of seven open-ended questions is presented to two professional working groups within a Tier 1 contractor, and outputs are analysed using statistic software (NVivo 12) to identify prominent themes for discussion. Inductive analysis is undertaken to gain further insight into responses to yield recurrent areas for continuous improvement.

Qualitative analysis of the survey reveals a persistent prioritisation of cost and programme over quality management in construction project. Furthermore, feedback from construction professionals present a number of improvement areas that must be addressed to improve quality. These include increased training and competency investment, overhauling quality behaviours, providing greater quality leadership direction and reshaping the way clients govern schemes.

There are limitations to this paper that require noting. Firstly, the survey was conducted within one principal contractor with varying levels of knowledge across multiple sectors. Secondly, the case study was from one major highways scheme; therefore, the generalisability of the findings is limited. It is suggested that a similar exercise is undertaken in other sectors to uncover similar improvement avenues.

The implications of this study calls for quality to be re-evaluated at project, company, sector and government levels to overhaul how quality is delivered. Furthermore, the paper identifies critical learning outcomes for the construction sector to take forward, including the need to reassess projects to ensure they are appropriately equip with competent personnel under a vetted, progressive training programme, share collaborative behaviours that value quality delivery on an equal standing to safety, programme and cost and tackle the inappropriate resource dilemmas projects finding themselves in through clear tendering and accurate planning. In addition, before making erratic decisions, projects must assess the risk profiling of proceed without approved design details and include the client in the decision-making process. Moreover, the findings call for a greater collaborative environment between the construction team and quality management department, rather than being seen as obstructive (i.e. compliance based policing). All of these must be driven by leadership to overhaul the way quality is managed on schemes. The findings demonstrate the importance and impact from open-ended survey response data studies to enhance quantitative outcomes and help provide strengthened proposals of improvement.

This paper addresses the highly sensitive area of quality failure outcomes and interrogates them via an industry survey within a major UK contractor for feedback. Unique insights are gained into how industry professionals perceive quality in construction. From previous research, this has been largely missing and offers a valuable addition in understanding the “quality status quo” from those delivering schemes.

The application of integrated project delivery (IPD) in conjunction with building information modeling (BIM) and Lean Construction (LC) as the efficient method for improving collaboration and delivering construction projects has been acknowledged by construction academics and professionals. Once organizations have fully embraced BIM, IPD and LC integration, a measurement tool such as a maturity model (MM) for benchmarking their progress and setting realistic goals for continuous improvement will be required. In the context of MMs literature, however, no comprehensive analysis of these three construction management methods has been published to reveal the current trends and common themes in which the models have approached each other.

Therefore, this study integrates systematic literature review (SLR) and thematic analysis techniques to review and categorize the related MMs; the key themes in which the interrelationship between BIM, IPD and LC MMs has been discussed and conceptualized in the attributes; the shared characteristics of the existing BIM, IPD and LC MMs, as well as their strengths and limitations. The Preferred Reporting Items for Systematic Reviews (PRISMA) method has been used as the primary procedure for article screening and reviewing published papers between 2007 and 2022.

Despite the growth of BIM, IPD and LC integration publications and acknowledgment in the literature, no MM has been established that holistically measures BIM, IPD and LC integration in an organization. This study identifies five interrelated and overlapping themes indicative of the collaboration of BIM, IPD and LC in existing MMs' structure, including customer satisfaction, waste minimization, Lean practices and cultural and legal aspects. Furthermore, the MMs' common characteristics, strengths and limitations are evaluated to provide a foundation for developing future BIM, IPD and LC-related MMs.

This paper examines the current status of research and the knowledge gaps around BIM, IPD and LC MMs. In addition, the highlighted major themes serve as a foundation for academics who intend to develop integrated BIM, IPD, and LC MMs. This will enable researchers to build upon these themes and establish a comprehensive list of maturity attributes fulfilling the BIM, IPD and LC requirements and principles. In addition, the MMs' BIM, IPD and LC compatibility themes, which go beyond themes' intended characteristics in silos, increase industry practitioners' awareness of the underlying factors of BIM, IPD and LC integration.

This review article is the first of a kind to analyze the interaction of IPD, BIM and LC in the context of MMs in current AEC literature. This study concludes that BIM, IPD and LC share several joint cornerstones according to the existing MMs.

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.

The purpose of the study is to propose a normative approach for market segmentation, profile and monitoring using computing and information technology to analyze User-Generated Content (UGC).

The specific steps include performing a structural analysis of the UGC and extracting the base variables and values from it, generating a consumer characteristics matrix for segmenting process, and finally describing the segments' preferences, regional and dynamic characteristics. The authors verify the feasibility of the method with publicly available data. The external validity of the method is also tested through questionnaires and product regional sales data.

The authors apply the proposed methodology to analyze 53,526 UGCs in the New Energy Vehicle (NEV) market and classify consumers into four segments: Brand-Value Suitors (32%), Rational Consumers (21%), High-Quality Fanciers (26%) and Utility-driven Consumers (21%). The authors describe four segments' preferences, dynamic changes over the past six years and regional characteristics among China's top five sales cities. Then, the authors verify the external validity of the methodology through a questionnaire survey and actual NEV sales in China.

The proposed method enables companies to utilize computing and information technology to understand the market structure and grasp the dynamic trends of market segments, which assists them in developing R&D and marketing plans.

This study contributes to the research on UGC-based universal market segmentation methods. In addition, the proposed UGC structural analysis algorithm implements a more fine-grained data analysis.

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.

The purpose of this article is to identify whether there is happiness in the consumption of brands and product categories and to clarify which provides more happiness: consuming the product itself or consuming the branded product.

The research was a survey with 528 Brazilian consumers. Data were analyzed and interpreted through content analysis and regressions: linear, quantile and logistic.

The results show that there is happiness in the consumption of brands and product categories, with culture being the category that most provides happiness; also confirming that individuals who consume branded products are happier than those who consume the product itself.

Studies confirm that there is happiness in consumption, but when we show that there is more happiness in the consumption of branded products than in not consuming the product itself, and when we identify which are the categories of products that bring the most happiness in an emerging country of Latin America, our article deepens and expands the previous literature.

We suggest that companies associate their brands with culture to balance profit with sustainable purpose. For this, we provide a framework as a tool for this association.

The topic of our article is relevant, timely and current, its originality lies in confirming that those who consume the branded product are happier and those who consume the product itself are less happy, and also by identifying which categories provide the most happiness.

El propósito de este artículo es identificar si hay felicidad en el consumo de marcas y categorías de productos y esclarecer cuál proporciona más felicidad: consumir el producto en sí o consumir el producto de marca.

La investigación fue una encuesta con 528 consumidores brasileños. Los datos fueron analizados e interpretados mediante análisis de contenido y regresiones: lineal, cuantil y logística.

Los resultados muestran que existe felicidad en el consumo de marcas y categorías de productos, siendo la cultura la categoría que más felicidad brinda; confirmando también que los individuos que consumen productos de marca son más felices que los que consumen el producto en sí.

Sugerimos que las empresas asocien sus marcas con la cultura para equilibrar las ganancias con un propósito sostenible. Para ello, proporcionamos un marco como herramienta para esta asociación.

Los estudios confirman que hay felicidad en el consumo, pero cuando demostramos que hay más felicidad en el consumo de productos de marca que en no consumir el producto en sí, y cuando identificamos cuáles son las categorías de productos que más felicidad aportan en un mundo emergente país de América Latina, nuestro artículo profundiza y amplía la literatura anterior.

El tema de nuestro artículo es relevante, oportuno y actual, su originalidad radica en constatar que quienes consumen el producto de marca son más felices y quienes consumen el producto en sí son menos felices, y también en identificar qué categorías aportan más felicidad.

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.