Developed Method Research Articles

ТЕХНІЧНА КУЛЬТУРА МЕНЕДЖЕРІВ СТРАТЕГІЧНОГО ПЛАНУВАННЯ Й РОЗВИТКУ В ОРГАНІЗАЦІЯХ: ТЕОРЕТИЧНІ ТА МЕТОДИЧНІ АСПЕКТИ

Strategic planning involves defining the organization’s long-term goals and ways to achieve them through the development and implementation of strategies. In the military sphere, strategic planning managers play a key role in ensuring the efficient use of military resources, achieving national defense goals, and responding to possible threats. The article reveals that technical culture is a set of knowledge, skills, values and practices related to the effective use of technologies, technical means and methods in professional activities. It includes not only knowledge of technical aspects, but also the ability to apply them rationally, improve them, and integrate them into work processes. Technical culture reflects the level of technical awareness, innovation and ability to adapt to new technological challenges. The technical culture of strategic planning managers encompasses a set of knowledge, skills, and values that allow effective use of modern technologies and tools to make reasonable decisions in strategic management. Among the components of technical there is the ability to analyze data, innovate, and coordinate resources to achieve the goals of the organization. The aim of the article is to reveal the theoretical and methodological aspects of formation and development of technical culture of strategic planning managers, its essence and content. The methodology of the study is based on an integrated approach that combines several research methods for a comprehensive analysis. The main components of such a methodology involve the analysis of scientific and educational sources related to technical culture, strategic planning and management of organizations; obtaining information about the essence and content of technical culture; identifying traditional and innovative forms and methods of formation and development of technical culture; generalizing the data obtained, making conclusions about the impact of managers’ technical culture on strategic planning. Conclusions. Effective formation of the technical culture of strategic management managers in higher education institutions can be achieved through interactive forms of learning, such as simulation games, project-based learning, and gamification. The use of methods such as flipped learning, adaptive learning, and cross-disciplinary teams helps engage students and develop their analytical and technological skills. Such approaches provide the practical experience needed to successfully integrate technology into strategic management. Key words: technical culture, strategic management managers, higher education institutions, interactive forms of learning, innovative teaching methods, strategic planning.

Developing assemblr edu to improve elementary school students’ explanatory text writing

All Indonesians normally master Bahasa Indonesia (BI), but Indonesia’s elementary school students’ learning outcomes for writing explanatory texts in BI are low. This research aims to develop the feasibility of Assemblr Edu in improving students’ ability to write explanatory texts in BI for fifth graders. The research and development (R&D) method with the ADDIE approach was employed. The participants were 30 fifth graders who underwent trial, and series of data collection including observation, interviews, questionnaires, and documentation. The obtained data were analysed quantitatively and qualitatively. The results show that Assemblr Edu is suitable for development at 95% per cent feasibility. The media was also proven to improve students’ ability to write explanatory text.

Effective phonon dispersion and low field transport in AlxGa1−xN alloys using supercells: An ab initio approach

To investigate the transport properties in random alloys, it is important to model the alloy disorder using supercells. Although computationally expensive, the local disorder in the system is accurately captured as translational symmetry that is imposed on the system over larger length scales. Additionally, in supercells, the error introduced by self-image interaction between the impurities is reduced. In this work, we have investigated the Effective Phonon Dispersion (EPD) and transport properties, from first principle calculations using supercells in AlxGa1−xN alloy systems. Using an in-house developed code for phonon-band unfolding, the EPD of AlGaN is obtained and the individual phonon modes are identified with good agreement with experimental values. Moreover, we report an in-house developed method to calculate low-field transport properties directly from supercells without phonon band unfolding. First, to validate our methods, we have solved the Boltzmann transport equation using Rode’s method to compare the phonon limited mobility in the 4 atom GaN primitive cell and 12 atom GaN supercell. Using the same technique, we have investigated the low field transport in random AlxGa1−xN alloy systems. The quadrupole interaction is included for transport properties of GaN and AlN to accurately capture the physics in these materials. Our calculations show that along with alloy scattering, electron–phonon scattering may also play an important role at room temperature and high-temperature device operation. This technique opens up the path for calculating phonon-limited transport properties in random alloy systems.

A sustainable HPTLC approach for green assessment of Tyrosine to phenylalanine ratio in chronic kidney disease

AbstractThe kidney is considered the main site for the net release of Tyrosine (Tyr) to the circulation through hydroxylation of Phenylalanine (Phe) using phenylalanine hydroxylase enzyme. In chronic kidney disease (CKD) patients the enzyme activity is impaired, therefore the serum concentration ratio of Tyr/Phe is reduced compared to healthy individuals. This motivates us to develop a cost effective, green, simple, sensitive, and selective HPTLC method to measure the levels of Tyr and Phe in serum samples. The analysis was carried out using acetonitrile: ethanol: 25% ammonia solution: ethyl acetate (6.5: 1.5: 1: 0.5) as a mobile phase. Rf values were 0.55 ± 0.05 for Phe and 0.39 ± 0.05 for Tyr. Densitometry scanning was performed using UV detector and dual wavelengths of 210 and 225 nm were obtained. A linear correlation was observed between the levels of Phe and Tyr, ranging from 50 to 700 ng band− 1 and 50 to 600 ng band− 1, respectively, under the optimum conditions. The method selectivity, linearity, precision, accuracy, and robustness were all confirmed in accordance with ICH recommendations. Calculations of the separation and resolution factors, number of theoretical plates, and height equivalent to theoretical plates prove to the chromatographic system accuracy and high separation efficiency. The developed method exhibits an acceptable eco-scale when measuring the method greenness using AGREE and GAPI softwares. It was applied for the determination of Phe and Tyr concentrations in human serum samples.

A Novel Fluorescent Chemosensor for Sensitive and Rapid Determination of Pb(II) Ions in Aqueous Environments.

This investigation devised an eco-friendly spectrofluorometric Pb(II) ion measurement approach. To determine Pb(II) ions, a polymeric fluorescence sensor membrane with excellent selectivity has been developed. It contains photoinitiators, functional monomers that can be cured under UV radiation, and cross-linking agents. After the characterization of the membrane, the most suitable parameters for the measurement of Pb(II) ions were determined. The measurement was performed in a short time-roughly 40s-at emission and excitation wavelengths of 488nm and 277nm, respectively, at pH 6.0. The developed method's detection limit was calculated as 1.42 × 10- 9 mol L- 1, and its calibration range was recorded as 4.83 × 10- 9 to 9.66 × 10- 8 mol L- 1. Recovery studies and the sensor's stability, lifetime, and repeatability have been evaluated. Real sample applications have been implemented using wastewater samples. The suggested approach may be used to quickly and accurately determine Pb(II) ions at low concentrations with good selectivity and sensitivity.

QR Code Labeling Design for Fixed Asset Management in Accounting Information System PT. Cipta Jaya Perkasa

In an increasingly competitive world of work, the balance between work demands and employees' personal lives is an important issue that affects job satisfaction and productivity. The purpose of this research is to design a fixed asset accounting information system application using QR codes to facilitate inventory in bookkeeping. It can store more comprehensive data, on fixed asset data accurately in recording in each entity. The research method applied is the software development method using Prototyping, where the software creation process will be carried out module by module with testing, starting from tagging, and creating a unique QR code for each fixed asset in each existing entity. The result study results indicate that using technology can make it easier to record assets by simply scanning the QR Code label, which is attached to each asset. So that the process of recording or managing assets can run accurately and quickly. The output of the research is the creation of a web and mobile application to manage asset information systems by utilizing QR Code technology. The implication of this research is for companies to develop wellbeing programs that not only focus on stress reduction but also pay attention to the need for work-life balance. This research also contributes to the development of HR management theory in the context of employee welfare management in modern industries.

Definitions of clinical study outcome measures for cardiovascular diseases: the European Unified Registries for Heart Care Evaluation and Randomized Trials (EuroHeart).

Standardized definitions for outcome measures in randomized clinical trials and observational studies are essential for robust and valid evaluation of medical products, interventions, care, and outcomes. The European Unified Registries for Heart Care Evaluation and Randomised Trials (EuroHeart) project of the European Society of Cardiology aimed to create international data standards for cardiovascular clinical study outcome measures. The EuroHeart methods for data standard development were used. From a Global Cardiovascular Outcomes Consortium of 82 experts, five Working Groups were formed to identify and define key outcome measures for: cardiovascular disease (generic outcomes), acute coronary syndrome and percutaneous coronary intervention (ACS/PCI), atrial fibrillation (AF), heart failure (HF) and transcatheter aortic valve implantation (TAVI). A systematic review of the literature informed a modified Delphi method to reach consensus on a final set of variables. For each variable, the Working Group provided a definition and categorized the variable as mandatory (Level 1) or optional (Level 2) based on its clinical importance and feasibility. Across the five domains, 24 Level 1 (generic: 5, ACS/PCI: 8, AF: 2; HF: 5, TAVI: 4) and 48 Level 2 (generic: 18, ACS-PCI: 7, AF: 6, HF: 2, TAVI: 15) outcome measures were defined. Internationally derived and endorsed definitions for outcome measures for a range of common cardiovascular diseases and interventions are presented. These may be used for data alignment to enable high-quality observational and randomized clinical research, audit, and quality improvement for patient benefit.

The Impact of Microfinance on Community Welfare: A Bibliometric Analysis and Systematic Literature Review (SLR)

ABSTRACT Over the years, microfinance programs have been the major strategy of many developing countries to improve people’s welfare and reduce poverty. Yet several studies on the welfare impacts of microfinance result in contradictory conclusions. While some studies support the mainstream view that microfinance improves the welfare of the unbankable poor, others criticize its limited effect on business development and weak impact measurement methods. This study analyzes 409 articles to bridge the empirical gaps between mainstream and critical views of microfinance impacts on society through synthesizing major themes in existing research and their interconnections and provides recommendations for future research. Using bibliometric and systematic literature review (SLR) approaches, this study found five clusters of empirical research on microfinance impacts, including entrepreneurship and poverty alleviation; self-help groups and women empowerment; financial inclusion; household income; and community welfare. The study also suggests that microfinance programs have positive impacts on welfare across countries. However, future research needs to more deeply focus on the impact of microfinance programs on agricultural finance, specifically financial efficiency, and social efficiency.

Influence of Talc in Polypropylene on Total Fluorine Measurements Used as an Indicator of Per- and Polyfluoroalkyl Substances (PFAS).

Increasing restrictions for chemicals of concern in plastic packaging materials have created an urgent need to accurately detect and quantify these chemicals. Total fluorine measurements have been utilized to screen for highly scrutinized per and poly-fluorinated substances (PFAS) in food packaging materials. Inorganic contributions to the total fluorine signal can result in false positive signals exceeding regulatory limits. The purpose of this study is to develop a method for determining the contribution of talc inorganic filler to the total fluorine signal. The influence of talc on total fluorine measurements of plastics was evaluated by compounding talc with virgin polypropylene (PP) then measuring the total fluorine concentration using oxidative pyrohydrolytic combustion ion chromatography. This study provides a framework to predict the contribution of talc in plastic samples to the total fluorine signal. A near infrared spectroscopy method was developed by employing the full width half height (FWHH) of the interstitial fluorine characteristic band of talc. The FWHH signal of the processed puck specimens was determined to be linearly increase with the measured total fluorine difference as a function of talc concentration (R2 = 0.9619). This study developed a method to predict contribution of talc fillers to the total fluorine signal of plastic samples. This method is critical for accurately determining the regulatory compliance of talc filled plastic samples for PFAS using total fluorine. Total fluorine is a common regulatory compliance technique as an indicator of PFAS. Talc is a common plastic filler that contains fluorine as a contaminant. The fluorine in talc contributes to the total fluorine signal, which can falsely elevate the total fluorine signal, potentially resulting in the lack of regulatory compliance. The developed method serves as a framework of how to identify the fluorine contribution of inorganic fillers in plastics.

Developing an implementation intervention, and identifying strategies for integrating health innovations in routine practice: A case study of the implementation of an insulin patient decision aid.

Implementation, which is defined as the process of getting evidence-based innovation to be utilised is critical in ensuring innovation is being integrated into real-world practice. The way an implementation intervention (i.e., a bundle of strategies to facilitate implementation) is developed has an impact on the types of strategies chosen, and whether they are relevant to the implementation setting to exert their effects. However, literature pertaining to development of intervention or detailed descriptions of implementation processes are scarce. This study aims to report the development of an implementation intervention to integrate the use of an evidence-based innovation in routine practice, using a Malaysian insulin patient decision aid (PDA) as an exemplar. The development of the insulin PDA implementation intervention was divided into two phases, incorporating step 3 and 4 of the Action Cycle in the Knowledge to Action framework. In Phase 1, barriers to the insulin PDA implementation was explored through qualitative interviews using an interview guide developed based on the Theoretical Domains Framework. In Phase 2, prioritisation of the barriers was conducted using the multivoting technique. Next, potential strategies that can address the barriers were identified based on understanding the clinic context, and evidence from literature. Then, the selected strategies were operationalised by providing full descriptions in terms of its actor, action, action target, temporality, dose, implementation outcome affected, before they were embedded into the patient care pathway in the clinic. The implementation intervention was finalised through a clinic stakeholders meeting. In Phase 1, a total of 15 focus group discussions and 37 in-depth individual interviews were conducted with: healthcare policymakers (n = 11), doctors (n = 22), diabetes educators (n = 8), staff nurses (n = 6), pharmacists (n = 6), and patients (n = 31). A total of 26 barriers and 11 facilitators emerged and they were categorised into HCP, patient, organisational, and innovation factors. The multivoting exercise resulted in the prioritisation of 13 barriers, and subsequently, a total of 11 strategies were identified to address those barriers. The strategies were mandate change, training workshop, involve patients' family members or caretakers, framing/reframing, inform healthcare providers on the advantages of the insulin PDA use, define roles and responsibilities, place the insulin PDA in the consultation room, provide feedback, systematic documentation, to engage patients in treatment discussions, and juxtapose PDA in preferred language with patient's PDA in their preferred language to help with translation. This study highlights main barriers to PDA implementation, and strategies that can be adopted for implementation. The steps for intervention development in this study can be compared with other intervention development methods to advance the field of implementation of evidence-based innovations.

Methods of Terminology Development for Al-Tahtawi

Objectives: In the 19th century, a problem arose concerning the Arabic language in the cultural interaction between Arabs and the French. The French had an advantage in using a language adapted to the pace of scientific progress. In contrast, the Arabic language did not linguistically evolve compared to the French language, leading to terminology issues. This study aims to identify the translation methods and techniques used by Rifa'a al-Tahtawi in his writings to address these terminology challenges. The study highlights the role of translation in formulating and constructing terms, as the Arab culture in the 19th century witnessed continuous progress in this field. Methods: The study adopted an analytical approach, examining examples and other relevant studies to draw conclusions based on relevant sources. Results: Rifaa al-Tahtawi launched the project of developing terminology based on various translation techniques, including semantic and literal translations. The resulting methods included the revival of ancient words and its use for the average citizen, Arabization, and finally, generating new terms. This enriched the Arabic language with new scientific and progressive vocabulary. Conclusions: Thus, it can be concluded that a language remains alive through its interaction with other languages, and translation proved to be one of the primary channels for introducing terminology into the Arabic language.

Development of an integrated statistics pocket book on culture and Islamic value

This research discusses the development of a statistical pocketbook integrated with Islamic values and culture to enhance students' understanding and appreciation of statistics within a cultural and religious context. This research aims to develop a statistical pocket book that meets valid criteria. This research uses the Research and Development (R&D) method. The development model used is ADDIE which consists of 5 development stages, namely: (1) analysis stage, (2) design stage, (3) development stage, (4) implementation stage, (5) evaluation stage. However, this development research only uses four stages, namely (1) analysis, (2) design, (3) development and evaluation. This research was conducted at FTIK IAIN Manado. Data collection was carried out using questionnaires and tests. Instruments were a marketing/content expert validation sheet and a media/design expert questionnaire validation sheet. Based on the results of the questionnaire analysis, the results obtained were that the statistics pocket book integrated with Islamic values and culture met the valid criteria for use in statistics learning, seen from the assessment results for validation by content/material experts (85%) with very valid categories and media/design experts (91 %) is also in the very valid category, the average percentage of the practicality test is 91% in the very practical category. So, the Statistics pocketbook that has been developed is valid and practical for use in learning because it is integrated with Islamic values and culture.

Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay.

Deep-red fluorescence was implemented in this fully injectable, nonenzymatic glucose biosensor design to allow for better light penetration through the skin, particularly for darker skin tones. In this work, a novel method was developed to synthesize Cy5.5 labeled mannose conjugates (Cy5.5-mannobiose, Cy5.5-mannotriose, and Cy5.5-mannotetraose) to act as the fluorescent competing ligand in a competitive binding assay with the protein Concanavalin A acting as the recognition molecule. Using fluorescence anisotropy (FA) data, a computational model was developed to determine optimal concentration ratios of the assay components to allow for sensitive glucose measurements within the physiological range. The model was experimentally validated by measuring the glucose response via FA of the three Cy5.5-labeled mannose conjugates synthesized with Cy5.5-mannotetraose demonstrating the most sensitive response to glucose across the physiological range. The developed method may be broadly applied to a vast range of commercially available fluorescent dyes and opens up opportunities for glucose measurements using nonenzymatic assays.

Autonomous orbit maintenance takeover control of ultra-low orbit spacecraft with event-triggered mechanism

In this paper, the problem of high-precision autonomous orbit maintenance takeover control of ultra-low orbit (ULO) spacecraft with event-triggered mechanism (ETM) and tangential continuous low thrust is addressed. First, the ETM I is proposed to reduce the communication burden between Global Navigation Satellite System (GNSS) cellular satellite and controller cellular satellite. Second, a fuzzy adaptive controller is proposed to maintain the orbit altitude of the ULO spacecraft. Furthermore, the ETM II is provided to ensure that the control thrust changes infrequently to extend the lifetime of electric thrust cellular satellite. In addition, the ETM II can lighten the communication burden between controller cellular satellite and electric thrust cellular satellite. By combining fuzzy adaptive control method and ETMs, the ETM-based fuzzy adaptive controller is established. Finally, the simulation is provided to verify the effectiveness of the developed control method.

In-House Training Modules on Learning Media to Improve Information and Communication Technology Competence in Elementary School Teachers

In-house training (IHT) programs effectively address educational challenges in schools through a thorough needs analysis. While IHT programs are frequently conducted, the primary focus should be on enhancing the quality of training to meet the specific needs of institutions, roles, and individuals involved. At SDN 98, a notable issue is the low utilization of technology in the learning process despite adequate multimedia facilities. Among 17 classroom teachers, fewer than 25% are proficient in using computers for instruction, and only one or two teachers regularly use laptops. The use of LCD projectors is also rare. This situation highlights the urgent need to improve teachers' information and communication technology (ICT) skills. Consequently, this Study aims to enhance the ICT competencies of SDN 98 teachers through targeted training and the development of IHT modules. The research employs a research and development (R&D) method that includes eight stages: initial research, planning, product design, validation, revision, limited trials, and field trials. The developed IHT module received excellent evaluations, with an average score of 4.49 from respondents and 4.56 from instructors, indicating its practicality and effectiveness in enhancing teachers' ICT competencies.

Enhancing accessibility: Development and usability testing of mobile application mitigating sexual harassment for visually impaired masseurs

ABSTRACT This study aimed to assess the development and usability of the Visually Impaired Masseur Assistance Application (VIMAA) designed to respond to signs of danger or instances of sexual harassment experienced by Visually Impaired Masseurs (VIMs). It harmonizes Rapid Application Development (RAD) method and qualitative in-depth interviews. RAD was implemented with emphasis on four core stages: requirement identification, design workshop, construction, and implementation, while Qualitative in-depth interviews were conducted utilizing thematic analysis for usability testing. Functionality testing also verifies the effectiveness of VIMAA features while requesting help, notification, and feedback. Pre-test identified four themes, including traumatic experiences and the need for protection. Post-test revealed themes such as ease of requesting assistance and switching to speech mode. VIMs perceive that VIMAA as user-friendly, practical, and acceptable. The requesting help, notification, and feedback features also work well. This study presents the effectiveness of VIMAA in establishing a framework that is accessible by a diverse spectrum of VIMs. The insights derived from this research also furnish valuable perspectives on the preferences of users reliant on mobile applications designed for VIMs, thus providing significant impetus for future research and development endeavors in this domain.

A Systematic Review of Techno-Economic, Environmental and Socioeconomic Assessments for Vibration Induced Energy Harvesting

There is a growing need to ensure the resilience of energy and water systems through digitalization, retrofit these systems for cleaner energy systems, and protect public safety in terms of water quality. This resilience requires a reliable power supply that could be provided by harnessing unexploited energy hidden in the current water infrastructure through the deployment of vortex-induced vibration energy harvesters. Therefore, being able to understand the feasibility of deploying these devices across technical, socioeconomic and environmental scales could further enhance successful deployment and integration of these devices. This paper aims to provide a systematic review investigating the development of energy harvester technologies to understand the key methods used to assess their application feasibility. This study used the PRISMA guidelines, and 139 articles were reviewed and synthesized. The trends were visualized, illustrating the current direction in energy harvesting development and application and methods used to assess the feasibility of these devices and technology. The majority of the reviewed studies focused on technical feasibility, design configuration, limitation, and identification of the most optimal application environment. The results revealed a huge opportunity for energy harvesters, especially as a power supply for monitoring sensors. Nevertheless, the results also identified a knowledge gap when it comes to assessing the overall application feasibility of energy harvesting as most studies currently neglect economic feasibility, environmental impacts, social aspects and energy resilience. Assessment tools will help fill this knowledge gap by identifying the key barriers and benefits gained from integrating this technology into existing energy systems and water systems.

Boosting miniaturization in clinical analysis: determination of bisphenols in human serum and urine by miniaturized stir bar sorptive dispersive microextraction.

In this work, a miniaturized and sustainable method for the determination of endocrine-disrupting bisphenols in human serum and urine employing the miniaturized stir bar sorptive dispersive microextraction (mSBSDME) approach has been developed. As bisphenols are conjugated in the human body to their glucorinated and sulfated forms, an enzymolysis employing a commercial mixture of β-glucuronidase and arylsulfatase was carried out prior to the microextraction procedure to determine their total content. A magnetic covalent organic framework (COF) was employed as thesorbent to carry out the extraction of the analytes from the biological matrixes, showing good extraction performance dueto its hydrophobic, π-π, and dipole-dipole interactions with the analytes. As instrumental detection, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed to achieve good sensitivity and selectivity. The method was validated for both matrixes, showing good linearity at least up to 100 ng mL-1, limits of detection in the low ng mL-1 range, good precision values (relative standard deviations below 15%), and good accuracy (relative recoveries between 80 and 127%). In order to show the applicability of the developed method, five samples from female volunteers were analyzed with the final aim of offering a practical tool for monitoring the female population's exposure to these highly endocrine-disrupting compounds. This new procedure enhances the implementation of miniaturized sample preparation approaches in biological samples for clinical analysis, giving special relevance to the sustainability of the method.

Syntactic–Semantic Detection of Clone-Caused Vulnerabilities in the IoT Devices

This paper addresses the problem of IoT security caused by code cloning when developing a massive variety of different smart devices. A clone detection method is proposed to identify clone-caused vulnerabilities in IoT software. A hybrid solution combines syntactic and semantic analyses of the code. Based on the recovered code, an attributed abstract syntax tree is constructed for each code fragment. All nodes of the commonly used abstract syntax tree are proposed to be weighted with semantic attribute vectors. Each attributed tree is then encoded as a semantic vector using a Deep Graph Neural Network. Two graph networks are combined into a Siamese neural model, allowing training to generate semantic vectors and compare vector pairs within each training epoch. Semantic analysis is also applied to clones with low similarity metric values. This allows one to correct the similarity decision in the case of incorrect matching of functions at the syntactic level. To automate the search for clones, the BinDiff algorithm is added in the first stage to accurately select clone candidates. This has a positive impact on the ability to apply the proposed method to large sets of binary code. In an experimental study, the developed method—compared to BinDiff, Gemini, and Asteria tools—has demonstrated the highest efficiency.

Mapping the trajectories of digital technology innovation in the construction industry: an integrated SPNP and Louvain approach

PurposeDespite the continuous development and application of new digital technologies in the construction industry, there has been little research on digital technology trajectories in the construction industry. The study addresses the issue faced by the construction industry in exploring digital technology trajectories: how to comprehensively identify and analyse digital technology pathways across multiple technology fields in the construction industry.Design/methodology/approachFirstly, the digital technology patent identification and classification method based on text mining is used to identify digital technology patents and construct a digital technology innovation network. Second, the main path of the digital technology innovation network is identified with the help of SPNP. Then, the subpaths of the digital technology innovation network are identified with the help of the Louvain algorithm and SPNP. Finally, starting from the technology nodes where the main path and subpaths intersect, the technological similarity of the paths is analysed to explore the evolutionary characteristics of the technology trajectories. In light of this, the developed method is applied to the global construction industry patent dataset to analyse the trajectories of digital technologies.FindingsThe technological innovation path in the construction industry starts with construction materials and gradually expands to intelligence, automation and digital data processing technology. Equipment and devices with electronic digital data processing capabilities as well as improvements in green building technologies and user experience-enhancing technologies, may be the future of the construction industry. With the increasing demand for green buildings and intelligent buildings, the direction of digital technology innovation in the construction industry is gradually tilted towards these areas. In addition, influenced by geographic and economic factors, there is a spatial clustering effect of digital technology innovation in the construction industry.Research limitations/implicationsFuture research should analyse in depth the performance of different countries and regions in digital technology innovation and explore the root causes, motivations and influencing factors behind it, such as the policy environment, the level of the economy and the investment in research and development. Exploring the reasons affecting digital technology innovation can help formulate more targeted policies and promote cooperation and exchange of digital technology innovation in the global construction industry. Meanwhile, to solve the problems of overly broad IPC categorization and the difficulty of accurately describing cross-field innovations, combining IPC co-occurrence networks with patent citation networks is an effective strategy. This strategy can track technologically interrelated patents and provide more specific contents to know the advantages and challenges of the construction industry in the field of digital technology innovation.Practical implicationsThe study has practical implications for the construction industry. The identification of digital technology innovation trajectories provides valuable insights for industry firms and research institutes. It helps them understand the current and future directions of digital technology in construction, enabling them to stay at the forefront of technological advancements. The findings highlight the importance of focusing on areas such as solar energy utilisation, green energy, intelligence, automation and data applications. This knowledge can guide firms in developing new building materials, incorporating digital information technologies and enhancing user experiences. The study’s results can inform strategic decision-making, technology adoption and innovation management in the construction sector.Social implicationsThe social implications of this study are significant for various stakeholders. The identification of digital technology innovation trajectories in the construction industry highlights the potential benefits for society. The focus on green energy, intelligent buildings and enhanced user experiences aligns with the increasing demand for sustainability, energy efficiency and comfortable living environments. These technological advancements can contribute to reducing environmental impact, improving quality of life and promoting sustainable development. The findings can inform policymakers, urban planners and architects in shaping regulations, designing sustainable cities and creating buildings that prioritize energy efficiency and user well-being. Ultimately, the study’s social implications aim to foster a more sustainable and livable built environment.Originality/valueAn identification method integrated with SPNP and the Louvain algorithm is developed to map digital technology innovation trajectories in the construction industry. This study helps to reveal the trajectories of digital technology innovation, provides new perspectives, insight and ideas for research in related fields and has great potential for applications in practice to promote the innovation and development of the construction industry.