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1 – 10 of 128
Article
Publication date: 29 March 2024

Sihao Li, Jiali Wang and Zhao Xu

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information…

Abstract

Purpose

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models.

Design/methodology/approach

This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models.

Findings

Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability.

Originality/value

This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Book part
Publication date: 16 January 2024

Ayodeji E. Oke and Seyi S. Stephen

The interaction of systems through a designated control channel has improved communication, efficiency, management, storage, processing, etc. across several industries. The…

Abstract

The interaction of systems through a designated control channel has improved communication, efficiency, management, storage, processing, etc. across several industries. The construction industry is an industry that thrives on a well-planned workflow rhythm; a change in the environmental dynamism will either have a positive or negative impact on the output of the project planned for execution. More so, raising the need for effective collaboration through workflow and project planning, grid application in construction facilitates the relationship between the project reality and the end users, all with the aim of improving resources and value management. However, decentralisation of close-domain control can cause uncertainty and incompleteness of data. And this can be a big factor, especially when a complex project is being executed.

Details

A Digital Path to Sustainable Infrastructure Management
Type: Book
ISBN: 978-1-83797-703-1

Keywords

Article
Publication date: 26 January 2022

Deden Sumirat Hidayat, Winaring Suryo Satuti, Dana Indra Sensuse, Damayanti Elisabeth and Lintang Matahari Hasani

Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these…

247

Abstract

Purpose

Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.

Design/methodology/approach

This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.

Findings

The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.

Originality/value

This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 54 no. 2
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 8 August 2023

Aswathy Sreenivasan and M. Suresh

The purpose of this study is to provide a literature review of the past literature on the use of blockchain for attaining sustainability in start-ups, covering major…

313

Abstract

Purpose

The purpose of this study is to provide a literature review of the past literature on the use of blockchain for attaining sustainability in start-ups, covering major characteristics of current findings, limitations and prospective study possibilities.

Design/methodology/approach

Papers that included the term “Blockchain,” “Sustainability” and “Start-ups” were considered for the analysis. Biblioshiny package under the R programming tool was considered for a detailed paper analysis.

Findings

Numerous sectors are quickly adopting blockchain technology, which has enormous potential to remove middlemen and boost sustainability in start-ups.

Research limitations/implications

This research is limited to 147 papers from the Scopus database through 2022.

Practical implications

This paper stresses the crucial part that blockchain technology has played in igniting a conversation about innovation and technology. This research will aid in advancing the researcher’s knowledge of blockchain technology in start-ups.

Social implications

Blockchain technology will give transparency and sustainable product or services to consumers of the start-ups.

Originality/value

The novelty of this research is based on its presentation of an organized and thorough literature evaluation, which defines the current state of the art concerning the use of blockchain for sustainability in start-ups. To create a sustainable start-up, a thorough study of how the information gained in respect of its implementation might be spread into the start-ups is presented.

Details

Management Research Review, vol. 47 no. 3
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 3 January 2024

Abba Suganda Girsang and Bima Krisna Noveta

The purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity…

Abstract

Purpose

The purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity recognition (NER) with six classes hierarchy location in Indonesia. Moreover, the tweet then is classified into eight classes of natural disasters using the support vector machine (SVM). Overall, the system is able to classify tweet and mapping the position of the content tweet.

Design/methodology/approach

This research builds a model to map the geolocation of tweet data using NER. This research uses six classes of NER which is based on region Indonesia. This data is then classified into eight classes of natural disasters using the SVM.

Findings

Experiment results demonstrate that the proposed NER with six special classes based on the regional level in Indonesia is able to map the location of the disaster based on data Twitter. The results also show good performance in geocoding such as match rate, match score and match type. Moreover, with SVM, this study can also classify tweet into eight classes of types of natural disasters specifically for the Indonesian region, which originate from the tweets collected.

Research limitations/implications

This study implements in Indonesia region.

Originality/value

(a)NER with six classes is used to create a location classification model with StanfordNER and ArcGIS tools. The use of six location classes is based on the Indonesia regional which has the large area. Hence, it has many levels in its regional location, such as province, district/city, sub-district, village, road and place names. (b) SVM is used to classify natural disasters. Classification of types of natural disasters is divided into eight: floods, earthquakes, landslides, tsunamis, hurricanes, forest fires, droughts and volcanic eruptions.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 27 April 2023

Nizar Mohammad Alsharari

This paper aims to discuss the interplay between strategic management accounting (SMA) and three organizational change configurations: strategy, structure and restructuring. This…

Abstract

Purpose

This paper aims to discuss the interplay between strategic management accounting (SMA) and three organizational change configurations: strategy, structure and restructuring. This explication occurs within a context that is characterized by organization restructuring and corporate strategy changes within Jordan Customs Organization (JCO).

Design/methodology/approach

This paper uses a qualitative research approach and presents an interpretive case study of the JCO public sector organization. To collect data, it uses methodological triangulation, which includes interviews, historical and statistical analyses, documents and archival records. It is informed by the theoretical lens of configurational theory and strategic typologies to interpret the influences of organizational change configurations on SMA as it relates to the interplay of strategy, structure and restructuring.

Findings

The study findings agree with the related literature that SMA practices have developed management accounting from important operational transactions to gain a more strategic orientation through integrating customers, human resources, processes and financial departments. This paper concludes that specific SMA techniques have been used for strategizing by organizations in the public sector, providing a valuable counterpoint to the private sector adaptation that has dominated SMA research. This study finds that organizational restructuring has also contributed to decentralization and delegation, which has led to the distribution of tasks and specialization in accounting departments. It also concludes that SMA may facilitate or delay organizational change configurations in JCO. SMA can play a significant role in ensuring that the institution learns in response to organizational changes. On the contrary, this paper also concludes that organizational practices led to changes in SMA rules and routines.

Research limitations/implications

A general criticism of case-study methods is that they lack rigor and provide little basis for generalization. First, case studies tend to be specific and individual, posing significant issues regarding generalization. Therefore, several comparative case studies involving various organizations should be conducted to ascertain if these practices have become more commonplace, especially in the public sector. Second, considering the nature of a government entity and the sensitivity of the information that required confidentiality, certain strategizing imperatives could not be directly examined, such as meetings between top management to make important decisions of strategic significance. This paper has important implications because it highlights the shortcomings of a supercilious singular relationship between strategic choices and the design of SMA practices.

Originality/value

This paper contributes to the growing literature by focusing on the relationship between SMA and three organizational change configurations: strategy, structure and restructuring. This paper is informed by the configuration theory perspective commonly used in accounting research. The empirical evidence in this study is provided in an SMA field, where empirical research is needed to be comparable with traditional accounting practices.

Details

Journal of Accounting & Organizational Change, vol. 20 no. 1
Type: Research Article
ISSN: 1832-5912

Keywords

Article
Publication date: 17 July 2023

Adrian Ariatin, Wawan Dhewanto and Oktofa Yudha

The purpose of this study is to find what kind of leadership is suitable for developing a business in an Islamic boarding school.

Abstract

Purpose

The purpose of this study is to find what kind of leadership is suitable for developing a business in an Islamic boarding school.

Design/methodology/approach

This study used a qualitative research method by conducting in-depth interviews with 16 informants.

Findings

This study resulted in three critical factors leadership qualities, entrepreneurial qualities and Muslim qualities. The unique combination of these essential elements must be in the soul of a business leader in a boarding school in carrying out its business activities to meet school operational costs while developing it into a sustainable business.

Research limitations/implications

This research is limited to being conducted in Indonesia’s most densely populated areas, namely, West Java Province, which also has the highest number of Islamic boarding schools. Not all Islamic boarding schools have business units because their operational needs have been met either by tuition fees or outside assistance.

Practical implications

These findings are expected to be a guideline for other Islamic boarding schools to find out how business leadership in Islamic boarding schools should be in carrying out their activities so that their business not only survives but also develops and competes with other companies.

Originality/value

This study presents a combination of theories of entrepreneurship, leadership and Muslim qualities obtained from the literature review and empirical data from the results of in-depth interviews.

Details

Journal of Islamic Accounting and Business Research, vol. 15 no. 3
Type: Research Article
ISSN: 1759-0817

Keywords

Content available
Book part
Publication date: 29 December 2023

Abstract

Details

World Healthcare Cooperatives: Challenges and Opportunities
Type: Book
ISBN: 978-1-80455-775-4

Article
Publication date: 27 June 2023

Nirodha Fernando, Kasun Dilshan T.A. and Hexin (Johnson) Zhang

The Government’s investment in infrastructure projects is considerably high, especially in bridge construction projects. Government authorities must establish an initial…

Abstract

Purpose

The Government’s investment in infrastructure projects is considerably high, especially in bridge construction projects. Government authorities must establish an initial forecasted budget to have transparency in transactions. Early cost estimating is challenging for Quantity Surveyors due to incomplete project details at the initial stage and the unavailability of standard cost estimating techniques for bridge projects. To mitigate the difficulties in the traditional preliminary cost estimating methods, there is a requirement to develop a new initial cost estimating model which is accurate, user friendly and straightforward. The research was carried out in Sri Lanka, and this paper aims to develop the artificial neural network (ANN) model for an early cost estimate of concrete bridge systems.

Design/methodology/approach

The construction cost data of 30 concrete bridge projects which are in Sri Lanka constructed within the past ten years were trained and tested to develop an ANN cost model. Backpropagation technique was used to identify the number of hidden layers, iteration and momentum for optimum neural network architectures.

Findings

An ANN cost model was developed, furnishing the best result since it succeeded with around 90% validation accuracy. It created a cost estimation model for the public sector as an accurate, heuristic, flexible and efficient technique.

Originality/value

The research contributes to the current body of knowledge by providing the most accurate early-stage cost estimate for the concrete bridge systems in Sri Lanka. In addition, the research findings would be helpful for stakeholders and policymakers to propose policy recommendations that positively influence the prediction of the most accurate cost estimate for concrete bridge construction projects in Sri Lanka and other developing countries.

Details

Journal of Financial Management of Property and Construction , vol. 29 no. 1
Type: Research Article
ISSN: 1366-4387

Keywords

Article
Publication date: 17 February 2023

Jiangnan Qiu, Wenjing Gu, Zhongming Ma, Yue You, Chengjie Cai and Meihui Zhang

In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and…

Abstract

Purpose

In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and knowledge systems. This article aims to fill this gap.

Design/methodology/approach

Based on the attraction-selection-attrition (ASA) framework, this paper constructs a simulation model to study the coevolution of these two systems under different levels of membership fluidity.

Findings

By analyzing the evolution of these systems with the vector autoregression (VAR) method, we find that social and knowledge systems become more orderly as the coevolution progresses. Furthermore, in communities with low membership fluidity, the microlevel of the social system (i.e. users) drives the coevolution, whereas in communities with high membership fluidity, the microlevel of the knowledge system (i.e. users' views) drives the coevolution.

Originality/value

This paper extends the application of the ASA framework and enriches the literature on membership fluidity of online communities and the literature on driving factors for coevolution of the social and knowledge systems in OKCs. On a practical level, our work suggests that community administrators should adopt different strategies for different membership fluidity to efficiently promote the coevolution of the social and knowledge systems in OKCs.

Details

Information Technology & People, vol. 37 no. 2
Type: Research Article
ISSN: 0959-3845

Keywords

1 – 10 of 128