Systematic literature review of condition assessment of buried infrastructure: techniques and future directions

Manual visual inspection is the main form of assessing the physical and functional conditions of civil infrastructure at regular intervals to ensure the infrastructure still meets its present service requirements. In addition to this form of inspection, several novel machine vision techniques are gradually becoming available. They promise to reduce the time needed to inspect facilities and standardize the quality of the results by removing human judgment as a factor of variability. This chapter explains the origins and a representative selection of these methods and gives a sneak peak of future trends in machine vision techniques in assessing civil infrastructure conditions. This chapter starts with the introduction of the current practices of civil infrastructure condition assessments. Then, the state-of-the-art machine vision techniques available for the condition assessment of civil infrastructure are described. The benefits and limitations of each technique are discussed, and the challenges of using the techniques are highlighted. Several case studies are presented to show the effectiveness of these techniques in assessing the conditions of civil infrastructure, such as bridges, buildings, and roads.

Introduction Over the last two decades, awareness of the importance of maintaining the nation's investments in transportation infrastructure has increased. One manifestation of this concern was the management systems requirements in the Intermodal Surface Transportation Efficiency Act of 1991. While many of the decision-making and modeling techniques developed for these systems are reasonably mature, the extent to which the systems are actually integrated into the policy process is less than might be expected. A number of institutional barriers exist, but the reliance of existing systems on visual condition assessment data may also contribute. The last decade has also witnessed revolutionary developments in structural sensing and non-destructive evaluation technologies. In particular, the emergence of fiber optic technology and micro electromechanical systems (MEMS) has allowed high-performance interrogation of infrastructure components at data rates, channel counts, and resolution levels never before achievable. These sensing systems, when used in conjunction with specialized data mining and analysis algorithms, provide an integrated approach to in-situ infrastructure condition assessment. This is particularly important as owners seek to reduce costs associated with condition assessment, corrective action, and prolonging service life. However, with the exception of isolated demonstration projects, these state-of-the-art technologies have not been applied widely to condition assessment of transportation infrastructure. Although the techniques described can apply to pavements, geotechnical features, and other components of transportation infrastructure, this paper focuses on bridges. The paper briefly describes the state of the practice for bridge condition assessment. Next, the paper reviews fiber optics, as one of the promising state-of-theart sensing technologies, and some key analysis approaches taken in analyzing data with the goal of condition assessment (at a point in time) and health monitoring (changes over time). We then discuss two applications of the sensing and analysis methodologies. The paper concludes with an appraisal of the future of these techniques in transportation infrastructure condition assessment.

This paper aims to examine the shift in modality of pedagogical approach of education during the COVID-19 pandemic and identify the challenges faced by educational institutions, teachers, student and parents, and the perception of students towards the approaches. The study is based on Systematic Literature Review (SLR) approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The study critically analyzed the findings of 27 research articles. The result depicted that COVID-19 pandemic had a significant impact on education due to which majority of the institutions shifted to online mode of teaching and learning. The shift was observed in both practical and theoretical studies, and also in schools who refrained from adopting digital technology prior to COVID-19 pandemic. There were numerous challenges faced by the educational institutions, such as, lack of technology, technical know-how, and experience in virtual teaching, among others. Similarly, parents felt burdensome to additional cost incurred for gadgets and internet. The study also revealed that despite the difficulties, students were positive about online teaching and learning, and thus the use of virtual methods of teaching with high inclusion of digital technologies ca be considered as best alternative for future considerations in academia.

Condition assessment of the buried utility service infrastructure

Purpose The purpose of this study set out to introduce an alternative framework for explaining the formation of the innovation ecosystem based on the systematic literature review (SLR) and ecosystemic approach. Design/methodology/approach This paper is an SLR of studies from the year 2008-2018 that investigating startups’ innovation. SLR approach being used exploration, interpretation and communication method, which composed of seven steps as follows exploring topics, searching, organizing, evaluating and expanding, integrating and communicating. The output of this process is 63 documents that applied to synthesize the formation framework. Findings The systematic review of literature has shown that researchers in recent years have considered some entities such as incubators, financials suppliers, accelerators, universities and companies in relation to the startup innovations, which are described in this paper as key actors. The study of the relationship between these actors in the documents led to the identification of interactional necessities, including structures, infrastructures and networks. Finally, the processes studied in the literature were classified into three types of mechanisms, namely, the genesis, growth and development of startups innovations. Research limitations/implications The SLR approach is subject to limitations because some poor explanations amongst previous researchers may be repeated and reinforced. Also, in the protocol adopted in this paper, documents are limited in English. Practical implications The introduced frammework can be useful in identifying and understanding the requirements of startups and creating effective policies for their innovation development. Originality/value This paper reviews, summarizes and integrates the growing and scattered literature of the innovation ecosystem of the startups and delivers new facts for the future development of this field.

This study aims to examine the evolution of the study of hadith sanad criticism with the Systematic Literature Review (SLR) approach, especially in the context of the use of Lidwa Pusaka Hadith software as a tool in sanad analysis. The main focus of this research is how paradigm shifts and methods in sanad criticism occur along with the development of digital technology, as well as the extent to which Lidwa Pusaka contributes to the effectiveness and accuracy of sanad studies. The methodology of this study uses the Systematic Literature Review approach with steps of identification, selection, data extraction, and synthesis from various relevant literature published in the period 2016–2020. Inclusion criteria include journal articles, proceedings, and thesis/thesis/dissertation that discusses sanad criticism, digital hadith studies, and the use of Lidwa Pusaka software in Islamic studies. The data collection technique is carried out by examining scientific documents through academic databases such as Google Scholar, DOAJ, and Garuda. Meanwhile, the data analysis technique is carried out through thematic analysis, by grouping data into main themes related to the development of sanad criticism methodology and the role of digital software, especially Lidwa Pusaka, in supporting hadith research. The results of the study show that there has been a significant evolution in the approach to sanad criticism, from a conventional approach to a software-based digital approach. Lidwa Pusaka specifically acts as an effective means of accessing matan and sanad hadith systematically and quickly, thus helping to speed up the process of verification and classification of hadith. The conclusion of this study emphasizes the importance of integrating technology in Islamic studies, as well as opening up new space for the development of a more efficient, accurate, and inclusive methodology of hadith criticism.

The article synthesizes online impulse buying research conducted through a systematic literature review (SLR) approach. The present review covers the diverse range of literature, from 2001 to 2024, conducted using the SPAR‐4‐SLR protocol. Drawing upon the theory‐context‐characteristics‐method (TCCM) framework, a literature synthesis provides an overview of article's descriptives, underpinning theories, contextual overview and methodological aspects. The review also highlights the variables related to the antecedents, mediators, moderators and consequences of online impulse buying and proposes the integrated conceptual framework of the concept. Lastly, the review highlights the gap in the literature and offers insightful directions to advance research in online impulse buying domain. Overall, this review is an attempt to make significant theoretical and practical contributions to the field of online impulse buying research.

There is a risk of bias in the research since current literature review frameworks frequently lack measurement of the volume of literature, guidance on keyword inclusion, confidence in detecting knowledge gaps, and framing of research objectives. This calls into question the review's legitimacy and dependability. In order to overcome these difficulties, we want to enhance the systematic literature review (SLR) approach, which begins with a literature review and is then followed by another literature review. The researchers used a systematic literature review approach, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), to obtain relevant publications related to young people's marriage readiness. This process was divided into three main stages: identification, screening, and eligibility. Web of Science (WoS) and Scopus were the two main databases used in the study, containing over 33,000 journals spanning over 256 disciplines, such as psychology, environmental studies, developmental studies, and integrative social sciences. Primary research, psychological marriage readiness, readiness to marry, adolescent and young adult populations aged 1 to 25 years, and papers in English were the inclusion criteria for this study. Based on prior research findings, it has been shown that various aspects, including financial, emotional, sexual, personality, and mental readiness, are significant determinants of a person's marital readiness. This comprehensive literature review indicates that marriage readiness is influenced by three key aspects: individual, financial, and social factors. The results indicate a need for additional research on these factors.

In the current era of globalization and the internationalization of capital markets, it is crucial to have clear and prompt financial reporting. Accounting conservatism is an essential qualitative characteristic in the field of accounting information. This study employs the Systematic Literature Review (SLR) approach to examine the factors influencing the selection of accounting conservatism within the framework of recognized national journals. By implementing rigorous inclusion and exclusion criteria, this study utilized Google Scholar to identify 10 nationally recognized journals that have received accreditation. The literature search process was meticulously overseen and employed the Publish or Perish application to guarantee precision and consistency in data compilation. The research findings indicate that managerial ownership of shares has a substantial and favorable impact on implementing accounting conservatism practices. Specifically, 81.22% of the companies in the sample were in a state of non-financial distress. Also, factors such as profitability, capital intensity, CEO gender, and board size impact accounting conservatism. Financial and non-financial factors influence such policies, including financial stress, leverage, and institutional ownership. These findings offer valuable insights into the dynamics of accounting conservatism in companies, inform financial decisions and the development of company policies, as well as provide guidance for future research in accounting and finance.

This study aims to identify and analyze the role of innovation in the development of information technology (IT)-based entrepreneurship through a systematic literature review (SLR) approach with the Prisma technique and analyze the role of innovation in supporting the success of information technology-based entrepreneurship through a systematic literature review approach with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) technique. Innovation is a key factor in creating competitive advantage, expanding the market, and increasing the sustainability of Information Technology businesses in the digital era. Innovation is considered a key factor in developing new products, services, and business models that are relevant to the dynamics of the digital market. This study identifies and reviews a number of scientific publications published in the period 2023–2025, obtained through the Scopus, IEEE Xplore, and Google Scholar databases. The results of the study show that innovation plays an important role in increasing the competitiveness, adaptability, and sustainability of Information Technology-based businesses. These findings also reveal that collaboration factors, digital ecosystem support, and adoption of cutting-edge technology are the main drivers of the success of innovation in Information Technology entrepreneurship.

This paper systematically reviews the drivers of work-family enrichment and job enrichment within the 2019–2024 timeframe from a philosophical perspective. The study employs a Systematic Literature Review (SLR) approach, utilizing Publish or Perish and the Scopus database to identify and evaluate relevant papers. The article's key conclusions indicate that the ontological review conceptualizes work-family balance as a complex interplay between enrichment and conflict, which can significantly impact each employee's well-being. The epistemology review focuses on the study's use of a theoretical framework and methodology. The axiology examines how these two concepts enhance employee psychology, work engagement, and career achievement, as well as their positive impact on job satisfaction. The findings of the philosophical analysis, which may be influenced by specific viewpoints, highlight the research gap. To improve the well-being of both the organization and its employees, this article provides recommendations for future research and organizational practices.

Condition assessment of aging infrastructure is a growing concern all over the world. A systematic performance assessment is a pre-requisite for effective asset and infrastructure management. Accordingly, this article develops an integrated approach for the performance assessment of the municipal infrastructure. The main objectives are to develop an approach to assess, measure, and combine the performance levels of water, sewer, and road infrastructure and then integrate those values into a performance index. The methodology involves developing assessment criteria from literature and using interviews with professionals. A series of workshops was conducted with professionals in Canada. Throughout the workshops, questionnaires were collected based on the analytic hierarchy process (AHP) technique. Using AHP and fuzzy set theory, data was aggregated, and the results were developed. The analysis proved that the road roughness rating has the highest impact on the performance level followed by the number of breaks that occurred within the water network. Furthermore, the developed integration model was validated by professional engineers working in the field and has shown potential in terms of providing a reliable assessment of the overall state of the infrastructure.

Strategic management has turned out to be an important business aspect that businesses cannot do without. This study intended to have a better understanding with regards to the challenges that are faced by various stakeholders as they are implementing Sustainable Strategic Management Practices (SSMP). This research study’s main purpose was to categorically articulate the challenges that are being faced by stakeholders in the food industry in implementing SSMP. The Systematic Literature Review (SLR) approach was performed using a six-phase approach. In each stage, the literature is reviewed and reduced, where the paper was seeking to retain only the most appropriate literature that was very close to what the paper was looking forward to most relevant articles. Ultimately, the process resulted in 121 journals that were reviewed and analyzed in relation to the research topic using the SLR approach. The findings of the study indicated that there are a number of impediments that tend to emanate from the internal and external environment which act as challenges for the implementation of SSMP within the food industry. It has been noted that there are issues to do with the scarce resources, the regulatory environment amongst others. The study therefore concluded that for effectiveness the businesses need to monitor with efficiency the internal and external business environment for sustainable implementation of SSMP.

The condition assessment of underground infrastructure (UI) is critical for maintaining the safety, functionality, and longevity of subsurface assets like tunnels and pipelines. This article reviews various data acquisition techniques, comparing their strengths and limitations in UI condition assessment. In collecting structured data, traditional methods like strain gauge can only obtain relatively low volumes of data due to low sampling frequency, manual data collection, and transmission, whereas more advanced and automatic methods like distributed fiber optic sensing can gather relatively larger volumes of data due to automatic data collection, continuous sampling, or comprehensive monitoring. Upon comparison, unstructured data acquisition methods can provide more detailed visual information that complements structured data. Methods like closed-circuit television and unmanned aerial vehicle produce large volumes of data due to their continuous video recording and high-resolution imaging, posing great challenges to data storage, transmission, and processing, while ground penetration radar and infrared thermography produce smaller volumes of image data that are more manageable. The acquisition of large volumes of UI data is the first step in its condition assessment. To enable more efficient, accurate, and reliable assessment, it is recommended to (1) integrate data analytics like artificial intelligence to automate the analysis and interpretation of collected data, (2) to develop robust big data management platforms capable of handling large volumes of data storage, processing and analysis, (3) to couple different data acquisition technologies to leverage the strengths of each technique, and (4) to continuously improve data acquisition methods to ensure efficient and reliable data acquisition.

Organizations need to continuously monitor, source and process large amount of operational data for optimizing the cloud computing environment. The research problem is: what are cloud monitoring data challenges – in particular virtual CPU monitoring data? This paper adopts a Systematic Literature Review (SLR) approach to identify and report cloud monitoring data challenges. SLR approach was applied to initially identify a large set of 1861 papers. Finally, 24 of 1861 relevant papers were selected and reviewed to identify the five major challenges of cloud monitoring data: monitoring technology, virtualization technology, energy, availability and performance. The results of this review are expected to help researchers and practitioners to understand cloud computing data challenges and develop innovative techniques and strategies to deal with these challenges.