Comparative Analysis Approach Research Articles

Green hydrogen vs green ammonia: A hierarchical optimization-based integrated temporal approach for comparative techno-economic analysis of international supply chains

Recent global trends have increasingly focused on sustainable and green energy solutions,transitioning away from fossil fuels. Green hydrogen (GH) and green ammonia (GA) have emerged as promising contenders for energy carriers in international supply chains. Our manuscript delivers a thorough comparative analysis of GH and GA, acknowledging the complex interrelations among synthesis, storage, distribution, and conversion processes. This evaluation also incorporates the variability of weather, energy demand, and the delays inherent in shipping, on both hourly and seasonal scales. The study features a detailed case analysis of nine international trading routes, utilizing a hierarchical optimization framework and conducting comparative economic evaluations. Additionally, the study delves into a sensitivity analysis, exploring factors such as economies of scale and the operational constraints of water electrolyzer. One of the key findings of our research is the identification of GA as a more favorable option for an international energy carrier, particularly when considering renewable energy's seasonality and intermittency. GA's superior storage and transportation properties significantly mitigate uncertainties within the supply chain, offering a more robust solution in the context of green energy transportation and logistics. Furthermore, the techno-economic analyses survey their impact on each supply chain and reveal the interconnectedness between each supply chain element – power, conversion, storage, and transportation.

In Addressing Forest and Land Fires in East Kotawaringin Regency, Collaboration and Socio-Economic Aspects of The Penta Helix Model are Employed

Introduction: Forest fires are a crucial issue requiring serious attention as it reached 9.7 million hectares of forest fires in 1997/1998. Therefore, there is a need for synergy between governmental and non-governmental institutions to support the mitigation of forest and land fires. Literature Review: Collaborative Governance is one of the types of Governance. This concept emphasizes the importance of a condition where public and private actors (businesses) collaborate in specific ways and processes to produce legal products, regulations, and policies appropriate for the public or society according to Ansell and Gash (2007:545). Method: The Penta Helix model is most commonly associated with the ABCGM concept, which stands for Academician, Business, Community, Government, and Media. This study employs a Comparative Qualitative Analysis (QCA) approach. Result and Discussion: This research showed that the contribution of academia in Penta helix collaboration is as a conceptualizer, The contribution of businesses in the Penta helix context is generally an enabler in both technology and innovation, as well as training, the government's contribution is mitigating forest and land fires in East Kotawaringin Regency includes the Regional Disaster Management Agency (BPBD). Conclusion: The role of the Community in Penta helix collaboration is as an accelerator in mitigating forest and land fires, while the role of the media from the Penta helix perspective is as a bridge to convey information on forest and land fire prevention from authorities (communicators) to the public (communicants). In term of collaboration, face-to-face dialogues is necessary to have consensus of the discussion.

Identifying Sustainability Efforts in Company’s Reports Using Text Mining and Machine Learning

This study delves into the utilization of text mining to scrutinize social and environmental reports of companies, showcasing its effectiveness in evaluation. It explores various text mining techniques and practically applies decision tree, k-nearest neighbors, and naïve Bayes methods. The paper offers guidance on extracting pertinent terms related to four CSR dimensions: Environment, Employee, Social responsibility, and Human rights. Results demonstrate the successful differentiation of text based on these dimensions, leveraging a CSR-relevant dictionary by Pencel and Malascue. Employing document classification techniques, the study constructs four models using distinct text mining approaches for comparative analysis. Through this research, the valuable role of text mining in assessing social and environmental disclosures is underscored, providing insights into optimizing these techniques for evaluations and emphasizing their potential to enhance understanding and decision-making in corporate social responsibility assessments. Keywords: sustainability, text mining, machine learning, Corporate Social Responsibility - CSR, environmental reports

Tools of Mobile Marketing of Today’s Business-Structures

The development of information technologies and use of mobile devices that help establish direct contacts at a distance became an integral part of people life and tools of conducting today’s business. These factors promote the development of mobile marketing, a new and promising trend of work, which is characterized by interactive contact with target audience beyond space limits. There are a lot of investigations and publications dealing with different aspects of mobile marketing, however the problem of tools of mobile marketing stirs high interest of academic community. The goal of the article is to research the role of technology and tools of mobile marketing in shaping key metrics of estimating efficiency of its elements. The author studied the totality of mobile marketing elements, characterized voice services of support, SMS, MMS, e-mail promotion, mobile applications, described stages of developing mobile applications, showed variants of mobile adverts in advertising and social networks, identified the role of mobile marketing in elaborating strategy of customer moving along the marketing funnel, until the target step interesting for the company is made, analyzed practice of using mobile marketing in restaurant business, found key competitive advantages, which are obtained by the organization by introducing events of mobile marketing, described groups of metrics for estimating mobile traffic in efficiency of mobile marketing elements in the enterprise functioning (cost, conversion nature of adverts, investment return, customer activity and involvement). Academic findings and conclusions of the research can be useful both for management of Russian companies in elaborating strategy of reaching competitive advantage on market and representatives of other professional communities interested in using tools of mobile marketing. Research methods combined comparative and systematic analysis, qualitative and quantitative approaches.

The pursuit of splendour: a recipe of psychological motivations driving conspicuous luxury consumption

PurposeThe purpose of the present study is to examine and validate a research model encompassing power distance belief, need for uniqueness, self-monitoring, self-construal, social adjustive attitude, and value-expressive attitude as the causal antecedents for conspicuous luxury consumption.Design/methodology/approachSurvey data was collected from a large consumer panel. The study applied a combinatory partial least squares structural equation modelling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach in examining the research hypotheses and proposition.FindingsThe results indicated the effects of power distance belief, need for uniqueness, self-monitoring, and self-construal on social adjustive attitude and value-expressive attitude, which in turn determine conspicuous luxury consumption. In addition, the fsQCA findings revealed three configurations that articulate the complex interactions of the causal antecedents.Originality/valueThis study enriches the literature by providing a comprehensive understanding of the psychological motivation factors that drive conspicuous luxury consumption and assists luxury retailers in developing targeted strategies to appeal to consumers.

A Contrastive Study of Euphemism Between English and Chinese - Taking Rejection as an Example

This paper investigates the nuances of euphemism language in refuse, comparing English and Chinese expressions. Politeness, a crucial aspect of communication, exhibits distinct cultural influences. The backdrop of communication underscores the pivotal role of politeness, particularly shaped by cultural disparities in English and Chinese. A thorough examination of these differences contributes to a comprehensive grasp of cultural variations in language expression. The study aims to discern commonalities and differences in the use of euphemism language, exploring frequency, expressions, and cultural implications. Adopting a comparative analysis approach, linguistic data related to requests is collected and analyzed. Findings reveal shared social strategies and illuminate the influential role of cultural backgrounds in shaping language expression during requests. English tends to be more direct, while Chinese prefers softer, more indirect approaches. Social relationships are crucial, with English culture maintaining looser ties and Chinese culture prioritizing face-saving and relationship preservation. Pragmatic strategies, including the use of mitigated language, are influenced by context and participant relationships. This comparative exploration not only deepens our understanding of cultural differences between English and Chinese but also provides valuable insights for linguistics and cross-cultural communication research, enhancing our appreciation for the intricate interplay between language and culture.

Analisis Bibliometrik dan Perkembangan Penelitian Perbedaan Gender dalam Komunikasi

Research on gender differences in communication can help understand how gender stereotypes affect the way people communicate This study aims to determine the development of research with the theme "Gender Differences In Communication" from 1988 to 2022. The research method used is qualitative research using literature review. Data collection was carried out by accessing journals on Scopus and obtaining 40 articles with high citations between 1988 and 2022. The data collected was analyzed using the Vosviewer and Nvivo 12 Plus applications. The results showed that there were 40 journals that discussed "Gender Differences In Communication" with the United States being the largest contributor of articles. The limitation of this research is that the articles reviewed are only obtained from the Scopus database, so they do not have comparable data. Consequently, further research needs to use a comparative analytic approach involving the Scopus database and the Web of Sciences

JUSTICE OF COMPENSATION FOR APPROPRIATION FOR THE PURPOSE OF OPENING ROADS IN JORDANIAN LAW (A COMPARATIVE STUDY)

Objective: This study aims to define the concept of fair compensation, and how the Jordanian constitution gives the ordinary legislator the authority to determine the nature of fair compensation so that he may stipulate deducting part of the property free of charge, or did the constitutional legislator grant the ordinary legislator the authority to determine how to estimate the value of fair compensation as stated in Comparative legislation. Theoretical Framework: The study employs a theoretical framework rooted in distributive justice theory, particularly drawing upon the perspectives of Rawls, Nozick, and Sen, the study evaluates the principles underlying fair compensation and its practical application in legal systems. Design/Methodology/Approach: This study follows a comparative analytical descriptive approach in dealing with the position of comparative legislation on fair compensation in the first requirement, and we will devote the second requirement to the position of the Jordanian legislator on fair compensation stipulated in Jordanian legislation. Result: The results of the study showed that appropriation for the public benefit has become recognized in constitutions and comparative legislations, as these legislations have defined the procedures for obtaining real estate to be appropriated in order to achieve the public benefit, and these legislations also included the principle of the owner's right to receive fair compensation that compensates the damage caused as a result of appropriation. Research, Practical & Social Implications: The study concluded that the legislations have differed in how to estimate fair compensation, some of which stipulate that the compensation must be complete without taking into account the impact of ownership on the remaining parts of the property and neighboring properties, and some of which introduced the concept of a free quarter such as the Jordanian law of ownership in the acquisitions of roads. This study came to show the fairness of the free quarter deduction in the acquisition of roads in the Jordanian acquisition law compared to what is applied in the comparative legislation. Originality/Value: The study provides original insights into the concept of fair compensation in Jordanian law, offering recommendations for legislative reforms to enhance distributive justice in expropriation cases.

A Comparative Analysis of the Level of Direct Commercial and Financial Relations: A Case Study of the Two Sides of the Taiwan Straits in the Past Ten Years

This research conducts a comprehensive analysis of the direct commercial and financial relations between Taiwan and mainland China over the past ten years, aiming to understand the depth, trends, and impacts of economic ties. The study employs a comparative analysis approach to leverage data from reputable sources such as the International Monetary Fund (IMF), World Bank, and official reports from Taiwan and China. The analysis of trade patterns reveals a consistent increase in volumes, showcasing a maturing economic relationship marked by the diversification of traded goods. Cross-Strait investments, particularly in critical sectors like technology and finance, highlight strategic collaborations and sector-specific interdependence. Financial relationships, examined through IMF reports and national financial institutions, demonstrate a deepening integration of banking ties despite geopolitical complexities. The study employs theoretical frameworks such as Complex Interdependence Theory and Political Economy Theory to interpret findings. The data analysis includes time-series analysis techniques to identify seasonality, trends, and cyclical patterns, providing insights for policymakers and businesses. The study's significance lies in its contribution to understanding the multifaceted nature of cross-Strait economic relations, emphasizing the endurance of economic interactions despite political complexities. The findings provide a nuanced foundation for improved bilateral relations, offering policymakers insights for strategic adjustments and fostering sustainable economic collaboration. In conclusion, this research contributes to the academic discourse on Taiwan-China economic relations by providing a detailed and empirically supported analysis. It addresses the intricacies of trade, investments, and financial collaborations, shedding light on the dynamics shaping the economic ties between these two entities.

Comparative Probiogenomics Analysis of Limosilactobacillus fermentum 3872.

Limosilactobacillus fermentum is an important member of the lactic acid bacteria group and holds immense potential for probiotic properties in human health and relevant industries. In this study, a comparative probiogenomic approach was applied to analyze the genome sequence of L. fermentum 3872, which was extracted from a commercially available yogurt sample, along with 20 different publicly available strains. Results indicate that the genome size of the characterized L. fermentum 3892 strain is 2,057,839bp, with a single- and circular-type chromosome possessing a G + C content of 51.69%. The genome of L. fermentum 3892 strain comprises a total of 2120 open reading frames (ORFs), two genes encoding rRNAs, and 53 genes encoding tRNAs. Upon comparative probiogenomic analysis, two plasmid sequences were detected among the study strains, including one for the L. fermentum 3872 genome, which was found between position 1,288,203 and 1,289,237 with an identity of 80.98. The whole-genome alignment revealed 2223 identical sites and a pairwise identity of 98.9%, indicating a significant difference of 1.1% among genome strains. Comparison of amino acid encoding genes among strains included in this study suggests that the strain 3872 exhibited the highest degree of amino acids present, including glutamine, glutamate, aspartate, asparagine, lysine, threonine, methionine, and cysteine. The comparative antibiotic resistome profiling revealed that strain 3872 exhibited a high resistant capacity only to ciprofloxacin antibiotics as compared to other strains. This study provides a genomic-based evaluation approach for comparative probiotic strain analysis in commercial foods and their significance to human health.

Corporate governance for sustainable development: A study on mechanism configuration

There is a dearth of configuration analysis on the factors that constitute corporate governance mechanisms within the framework of corporate sustainable goals in existing literature. Specifically, the impact mechanisms related to various combined mechanisms have not been comprehensively defined. This study employs Qualitative Comparative Analysis (QCA) approach to explore the effects of various configurations of corporate governance mechanisms on sustainable development, based on a sample of 2959 Chinese listed companies. Our analysis identifies four distinct pathways that facilitate the achievement of sustainable development goals: 1) enlarging board size, providing managerial incentives, establishing sustainability committees, and enhancing corporate transparency; 2) promoting board diversity, providing managerial incentives, establishing sustainability committees, and enhancing corporate transparency; 3) reducing ownership concentration, providing managerial incentives, establishing sustainability committees, and enhancing corporate transparency; 4) encouraging individual investment, providing managerial incentives, establishing sustainability committees, and enhancing corporate transparency. Additionally, a comparative analysis of different pathways has revealed substitutional relationships between board size and diversity, ownership concentration and investor structure, while highlighting the complementary relationship of managerial incentives, sustainability committees, and corporate transparency. Challenging the erstwhile linear research paradigm, this study contributes to understanding the pathways for achieving sustainable development goals from a configurational perspective and elucidates the relationships between corporate governance mechanisms. It offers novel and comprehensive evidence for examining the intricate nexus between corporate governance mechanisms and sustainable development. Keywords: Stakeholder theory; Sustainable development; Corporate governance mechanisms; Mechanism configurations; fuzzy-set Qualitative Comparative Analysis (fsQCA).

Financial medicine: A multi-dimensional concept moving towards contextually specific working definitions for use in the South African prehospital setting

IntroductionThe phenomenon that has been described as Financial Medicine has been occurring within the South African Healthcare sector for at least the last decade. Despite the ongoing effect of this phenomenon, there is no organised body of knowledge or formulated working definitions to guide knowledge sharing and theorisation within this research focus area. The practice of Financial Medicine exerts a deleterious effect on the South African prehospital healthcare system, and represents an area in dire need of focused research efforts. Establishing appropriate working definitions and associated taxonomy is an important first step in supporting further research efforts into this aspect of South African prehospital healthcare systems. MethodsA qualitative research methodology following a constructivist grounded theory design was used. Participants voluntarily consented to be enrolled into one-on-one in-depth interviews, and were selected using purposive and theoretical sampling techniques. Data was subjected to validated coding procedures and analysed using the constant comparative analysis approach, analytical diagramming, and supported by researcher theoretical sensitivity. ResultsA working definition for Financial Medicine is provided. Six new terms are introduced, with associated working definitions, namely Financial Medicine Practices, Treatment-based profiteering, Cost-of-care-aversion, Personal-gain-at-patient-expense, Money-racketeering-in-healthcare, and Impoverishing-healthcare-earning. ConclusionThe working definitions and suggested taxonomy presented in this article are the first step in formally conceptualising and theorising the phenomenon of Financial Medicine, in order to support further research and collaboration in this space.

Development and Impact Analysis of a Multi-Pandemic Real-Time Data Dashboard: A Comparative Analytical Approach

This research presents the development and implementation of a Multi Pandemic Real-Time Data Dashboard, designed to facilitate enhanced comparative analysis across various global pandemics. Utilizing a combination of real-time data acquisition, statistical modeling, and predictive analytics, the dashboard provides a dynamic platform for analyzing pandemic trends and outcomes. Our methodology involved integrating diverse data sources, employing mathematical models such as the SIR (Susceptible, Infected, Recovered) model and machine learning algorithms for data processing and trend prediction. Key findings indicate that the dashboard effectively identifies patterns in pandemic spread and impact, offering valuable insights for public health decision-making. The research underscores the significance of advanced data analytics in managing public health crises, highlighting the dashboard’s potential in aiding proactive pandemic response and policy formulation.

Assessing Green Practices on Eco-Friendly Hotel Customer Loyalty: A Partial Least Squares Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis Hybrid Approach

With a global focus on environmental sustainability, hotels worldwide are actively transitioning their services from conventional to eco-friendly practices. This study aims to comprehensively understand the factors that contribute to visitors’ satisfaction in eco-friendly hotels and how this satisfaction influences customers’ future reactions towards such environmentally conscious establishments. Employing the Stimulus-Organism-Response theory, this study collected data from 277 respondents using a robust quantitative research strategy. A combined approach of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Fuzzy-Set Qualitative Comparative Analysis (fsQCA) was employed, to uncover deep insights into visitors’ satisfaction and their reactions towards eco-friendly hotels. The PLS-SEM results reveal significant associations between customers’ satisfaction towards eco-friendly hotel services and service quality, green practices, perceived value, and environmental sensitivity. Moreover, this study highlights a positive correlation between satisfaction and crucial outcomes like revisit intention (RVI), willingness to pay a premium (WTPP), and word-of-mouth intention (WOMI). Complementing these findings, the fsQCA analysis uncovers intricate causal relationships among antecedents that influence customer satisfaction in eco-friendly hotels. By offering critical marketing insights, this study provides guidance for hotels, the tourism industry, and policymakers on attracting customers to eco-friendly hotels, to meet the increasing demands for environmental sustainability.

THE PUNITIVE POWER OF INDEPENDENT ADMINISTRATIVE AUTHORITIES: FOCUS ON FINANCIAL AND TAX VIOLATIONS (A COMPARATIVE STUDY)

Background: In France, some independent administrative authorities have been granted punitive powers concerning violations committed against stated regulatory rules. In this regard, the issue of the accumulation of penalties has been repeatedly raised concerning sanctions imposed by independent administrative authorities and criminal justice penalties. For example, a certain action could be criminalised by virtue of the Penal Law, necessitating a custodial sanction or a fine, while also considered a mere breach under financial and monetary laws, leading to the imposition of a certain financial penalty. This raises the question of whether the infliction of both criminal and administrative sanctions on financial and tax crimes violates the 'ne bis in idem' principle. The French Constitutional Council has addressed this issue extensively; it has banned the accumulation of criminal penalties and administrative sanctions of a punitive nature upon the fulfilment of certain conditions. Interestingly, these conditions did not apply to tax disputes, permitting the accumulation of penalties in this specific field. However, the accumulation of penalties was banned and deemed impermissible in financial markets. Therefore, a major question can be raised: Why has the Constitutional Council adopted two different approaches in those two similar fields? Methods: In pursuit of the research goals, this study employed a combination of comparative, historical, and analytical methodologies. By examining the legal nature of independent administrative authorities, this study conducts a comprehensive examination of relevant legal texts, encompassing constitutional provisions, legislation, and judicial decisions, to analyse the ne bis in idem principle in France. A comparative analysis approach was utilised to compare the rulings of the French Constitutional Council, the French Court of Cassation, and European judicial bodies. Results and conclusions: In various jurisdictions, including France and the EU, the principle of non-accumulation of criminal penalties and administrative sanctions is recognised, yet differences arise in its application. Jurisdictions vary in approach, with some strictly prohibiting accumulation while others allow flexibility based on factors like offence nature and societal interests. The French Constitutional Council sets standards, allowing dual penalties in tax matters but not in finance. Rulings by the French Constitutional Council and Court of Cassation offer insights into applying the principle, revealing complexities in balancing regulatory enforcement and individual rights.

Measuring Financial Inclusion in the MENA Region: Comparative Analysis

Purpose: The purpose of this paper is to develop a new multidimensional financial inclusion index to measure the financial inclusion level for each of the 13 selected countries of the Middle East and North Africa region for the period 2004-2020. In addition, the comparative analysis approach encompasses the evolvement of financial inclusion for each country in the time period studied. Design/methodology/approach: This study builds onto Sarma's (2012) approach for measuring financial inclusion by forming a new and improved model including the depth dimension and new variables. The computed values are based on data on financial inclusion extracted from the World Bank and the International Monetary Fund, the Financial Access Survey database. Findings: The values of the new financial inclusion index reveal the inadequate efforts made by these countries to enhance financial inclusion as a way to improve the economic /income growth in the region. Research limitations/implications: This study has two limitations. The unavailability of data for some financial indicators made it inevitable to be included in the study, such as the digital banking. Such data is considered crucial for future studies on financial inclusion indexes. The other limitation is that some countries in the Middle East and North Africa region were excluded from this research due to the lack of data on some of the variables included in constructing and measuring the new index. Despite these limitation, policy-makers and central banks can benefit from this study to enhance financial inclusion practices in pursuit of economic /income growth. Originality/value: This study attempts to develop a new multidimensional index to measuring financial inclusion by including a new dimension/variables and analyzing the values.

Monitoring and Evaluation of the Use of Personal Protective Equipment (Ppe) Among Nurses in Post Pandemic Educational Hospitals

Use personal protective equipment (PPE) to prevent the chain of disease transmission, especially Covid-19. This study aims to monitor and evaluate the use of PPE among nurses who work in inpatient and emergency rooms at teaching hospitals in Malang. This research uses a cross-sectional comparative analysis approach. Data were collected using hospital SOP observation sheets by the Minister of Health Regulation 27 of 2017. Using a purposive sampling technique, the sample size was 82 nurses, divided into inpatient and emergency rooms. Data analysis uses descriptive and Chi-square to analyze differences in work area use of PPE (α= 0.05). The study's results showed differences in compliance and level of risk of exposure for nurses in using PPE in emergency departments and inpatient rooms (p-value=0.009). Emergency department nurses use PPE more often according to SOP, which has a higher exposure risk than inpatient nurses.

Tourists’ Willingness to Adopt AI in Hospitality—Assumption of Sustainability in Developing Countries

This study explores the impact of artificial intelligence (AI) on customer perceptions and behavior in restaurants, airline companies, and hotel sectors within the hospitality industry of Iran. The primary objective is to analyze how AI affects customer trust, brand engagement, electronic word-of-mouth (eWOM), and tourists’ readiness to use AI technologies. Using a comparative analysis approach and surveys, this research tests hypotheses about the effects of artificial intelligence on various dimensions of customer interaction. The findings highlight significant relationships between the quality of artificial intelligence and customer engagement metrics, such as trust and brand loyalty, which are crucial for understanding and predicting customer behavior in response to technological advancements. This study lays the groundwork for theoretical assumptions about sustainability in these sectors in developing countries, providing a basis for future empirical research that could validate these assumptions and explore broader implications of AI integration in enhancing sustainable practices within the hospitality industry.

Delving into Machine Learning's Influence on Disease Diagnosis and Prediction

Introduction/ Background Medical diagnoses have increasingly depended on digitized images obtained through cutting-edge technology. These algorithms offer a promising avenue to transform diagnostic processes in healthcare, with their application scope continually widening due to ongoing advancements. This paper explores machine learning's role in clinical analysis and prediction, examining various studies that apply these techniques in clinical diagnosis, focusing on their use in analyzing images and providing accurate diagnoses. Materials and Methods This study employs a comparative analysis approach, utilizing diverse machine learning algorithms like SVM, K-nearest neighbors, Random Forests, and Decision Trees to analyze digitized medical images and patient records. We extracted data from several medical databases, ensuring a varied and comprehensive dataset. We also evaluated the impact of different data characteristics on the algorithms' effectiveness, aiming to understand the variability in their diagnostic precision across various conditions. Results The results indicate that machine learning algorithms, particularly SVM, K-nearest neighbors, Random Forests, and Decision Trees, demonstrate significant accuracy in diagnosing diseases from digitized images and medical records. SVM and Random Forests showed particularly high effectiveness in clinical diagnosis, suggesting their robustness across different medical conditions and datasets. These findings underscore the potential of machine learning to enhance diagnostic precision and predict illnesses early, aligning with the growing trend of technology-driven medical diagnostics. Discussion The findings reinforce the pivotal role of machine learning in transforming medical diagnostics. The variability in algorithm performance highlights the necessity for tailored approaches, considering dataset specifics and the medical condition being diagnosed. This study underscores the potential of machine learning to enhance diagnostic accuracy, yet it also emphasizes the need for continuous refinement and understanding of the underlying factors affecting algorithm performance. Future research should focus on optimizing these algorithms within diverse clinical settings to fully harness their diagnostic capabilities. Conclusion This study highlights the transformative potential of machine learning in medical diagnostics, demonstrating how various algorithms can effectively analyze digitized images and patient records to diagnose diseases. While the performance of these algorithms varies based on dataset characteristics, the overall high accuracy underscores machine learning's promise in healthcare. As the field continues to evolve, machine learning is poised to become an integral part of clinical diagnosis, enhancing the accuracy and efficiency of medical evaluations and treatments.

Understanding stakeholders’ intention to use construction robots: a fuzzy-set qualitative comparative analysis

User acceptance is crucial for successfully adopting robotic technologies in the architecture, engineering, and construction (AEC) sector. Previous studies have focused on domestic, service, and industrial robots, leaving the construction domain unexplored. In this study, we set out to empirically understand how various dimensions of technology, environment, robot, and user lead to AEC stakeholders’ intention to use construction robots. We apply the fuzzy-set qualitative comparative analysis approach to capture the complexity of human behavior and the interdependencies across dimensions. For the data collection, we sampled 216 cases in Switzerland, Germany, and Austria evaluating three scenarios of human–robot interaction. Our analysis identifies three distinct user profiles—the lifelike robot user, the utilitarian robot user, and the lifelike-utilitarian robot user. The results show that human–robot peering may be a fundamental solution to increase user acceptance. By testing the effect of user characteristics, we also discover a lifelike-utilitarian type of robot that is more appealing to female AEC stakeholders. The study contributes to the construction robotics literature by providing tailored design and implementation strategies. It points to future research avenues such as user experience and social factors for exploring the impact of robotics and artificial intelligence in AEC.