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This study aims to comprehensively address the challenge of delineating traffic scenarios in video footage captured by an embedded camera within an autonomous vehicle.

This methodology involves systematically elucidating the traffic context by leveraging data from the object recognition subsystem embedded in vehicular road infrastructure. A knowledge base containing production rules and logical inference mechanism was developed. These components enable real-time procedures for describing traffic situations.

The production rule system focuses on semantically modeling entities that are categorized as traffic lights and road signs. The effectiveness of the methodology was tested experimentally using diverse image datasets representing various meteorological conditions. A thorough analysis of the results was conducted, which opens avenues for future research.

Originality lies in the potential integration of the developed methodology into an autonomous vehicle’s control system, working alongside other procedures that analyze the current situation. These applications extend to driver assistance systems, harmonized with augmented reality technology, and enhance human decision-making processes.

The purpose of this paper is to know how do early-phase planning of real estate (RE) and facilities management (FM) create value for owners and users of commercial and public sector buildings.

The data were collected in Norway in 2015 through a national online survey (N = 837). The sample gives a good picture of Norwegian owners’ and even users on tactical-level (customer) perspectives on RE and FM. The data have been analysed through descriptive statistics and exploratory factor analysis. The hypotheses have been tested through analyses of correlations and ordinary least square (OLS) linear regressions.

Exploratory factor analysis made it possible to establish seven composite variables (constructs). Based on these seven constructs, six hypotheses were derived and tested. Obstacles and financials have no significant effect on buildings’ perceived usability. The most important factors during early-phase planning that influence buildings’ perceived usability and lifetime value creation are measures promoting environment and life-cycle costs (LCC), FM, adaptability and image.

Further empirical and preferably, comparative studies are needed to establish whether the findings can be generalized. The study has shown that a building’s usability and lifetime value creation is largely determined by decisions made during early phase planning.

Well-founded early-phase planning of RE and FM may actually provide very high return on the investments and significantly improve the buildings’ lifetime value creation for owners and users. Early-phase planning is also of great importance both for buildings’ physical design, as well as for successful FM during the buildings’ use phase, and may prevent irreversible blunders.

This is a large N empirical study in Norway. The findings indicate what owner and users of buildings should emphasize during early phase planning.

Presents an inductive machine learning algorithm called CLIP3 (Cover learning using integer programming). CLIP3 is an extension of the CLILP2 algorithm. CLIP3 generates multiple rules for a given concept from two sets of discrete attribute data. It combines the best concepts of tree‐based and rule‐based algorithms to produce a highly reliable machine‐learning algorithm. The algorithm is run on the benchmark “MONK′s data sets”. Compares the results of standard machine learning algorithms such as the ID and AQ families of algorithms. The algorithm is also run on the breast cancer data set and the results are compared with C4.5 algorithm results.

The purpose of this study is to identify organisational homeostasis factors in the context of healthcare organisations and to develop a conceptual model for green transformation.

The organisational homeostasis factors were determined by review of literature study and the opinions of healthcare experts. Scheduled interviews and closed-ended questionnaires are employed to collect data for this research. This study employed “TISM methodology” and “MICMAC analysis” to better comprehend how the components interact with one another and prioritise them based on their driving and dependence power.

This study identified 10 factors of organisational homeostasis in healthcare organisation. Recognition of interdependence, hormesis, strategic coalignment, consciousness on dependence of healthcare resources and cybernetic principle of regulations are the driving or key factors of this study.

The study's primary focus was on the organisational homeostasis factors in healthcare organisations. The methodological approach and structural model are used in a healthcare organisation; in the future, these approaches can be applied to other industries as well.

The key drivers of organisational homeostasis and the identified factors will be better comprehended and understood by academic and important stakeholders in healthcare organisations. Prioritizing the factors helps the policymakers to comprehend the organisational homeostasis for green transformation in healthcare.

In this study, the TISM and MICMAC analysis for healthcare is proposed as an innovative approach to address the organisational homeostasis concept in the context of green transformation in healthcare organisations.

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective, examining the actor dynamics and mechanisms that facilitated or hindered the industry’s development.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a context-intervention-mechanism-outcome (CIMO)-based event history analysis (EHA) framework to explore the actor dynamics and mechanisms of the case study.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a CIMO-based EHA framework to explore the actor dynamics and mechanisms of the case study.

This paper contributes to the South African AM industry literature by providing an overview of the industry events over the past three decades and analysing the industry through the IS framework. The study is among the first to analyse the development of the South African AM industry, presenting innovation scholars and managers with valuable decision-making support by providing insights into the innovation activities performed during each stage of the industry’s development, who performed them, the sequence in which they were performed and the outcomes they delivered.

This paper aims to “identify,” “analyse” and “categorise” the readiness factors of lean sustainability in health-care organisation using total interpretive structural modelling (TISM).

To obtain the data, a closed-ended questionnaire was used in addition to a scheduled interview. To identify how the factors interact, the TISM approach was used, and the matriced’ impacts croise’s multiplication applique’e a UN classement (MICMAC) analysis was used to rank and categorise the lean sustainability readiness factors.

This study identified ten lean sustainability readiness factors for health-care organisation. The identified factors are resources utilization practice (F1), management commitment and leadership (F2), operational flexibility (F3), workforce engagement and time commitment (F4), sustainability motivational factors (F5), awareness of lean and sustainable practice (F6), hospital design (F7), energy efficiency practices in hospitals (F8), responsible autonomy (F9) and new system adoptability training (F10). The key/driving factors are identified in this study are operational flexibility, sustainability motivational factors, management commitment and leadership, new system adoptability training.

The study focussed primarily on lean sustainability factors for the health-care sector.

This research will aid key stakeholders and academics in the better understanding the readiness factors that influence lean sustainability in health-care organisation. This study emphasises the factors that must be considered when applying lean sustainable practices in health care as a real-world application in a health-care organisation. These readiness factors for lean sustainability can be used by an organization to comprehend more about the concept and the components that contribute to health-care lean sustainability.

This study proposes the TISM technique for health care, which is a novel attempt in the subject of lean sustainability in this sector.

The purpose of this paper is to investigate factors that influence effective workplace designs for knowledge workers.

During spring 2016, the employees in a large institution for research and higher education, a large consultancy company and a medium-sized consultancy company (in total 4367 employees) in Norway received invitations to participate in an anonymous online survey about workplaces and facilities. In all, 1,670 employees answered the survey (38.2 per cent response rate). The data have been analyzed with IBM SPSS version 23, among others through use of exploratory factor analysis and two-way ANOVA.

Most respondents at the institution for research and higher education have cell offices. Most respondents in the two consultancy companies have open and flexible offices. This paper indicate the respondents’ preferences or perception of their workstation and the workplace’s fit for their tasks is affected both by the respondents’ type of office and how much time they spend at their workstation during the week. There are also possible age or generation effects.

One methodical weakness in the present paper is that two-way ANOVA has been applied on survey data. Experiments are usually arranged to provide almost equal numbers of observations in each category. This is usually not possible with survey data. However, despite this weakness, the present paper provides several findings that challenge some of the workplace research’s taken for givens.

The present paper indicates that facility managers and others responsible for office and workplace design are advised to take the employees’ tasks and work patterns into consideration when designing workplaces and providing offices and workstations to their end-users. The present paper also indicates that employees require different kinds of support facilities and services depending on what kind of offices and workplaces they have.

This is a large N empirical study among knowledge workers in three organizations, one public administration and two private enterprises. The present paper indicate that provision of offices and workstations with supporting facilities should be differentiated according to the end-users’ work tasks and work patterns.

Integrated reporting (IR) aims to improve the quality of information available to capital providers. While IR is associated with decreases in investor uncertainty and increases in firm value, it is unclear how IR information directly influences investment decisions. This paper aims to investigate the investment considerations of Taiwanese investors and their initial impressions of the International Integrated Reporting Framework (IIRC Framework). In doing so, this study examines the relationships between investment considerations and the IIRC Framework’s concepts.

Semi-structured interviews were undertaken with 16 investors in Taiwan. Thematic analysis was used to analyse the data collected.

In addition to economic and financial outlook, competitive advantages and ownership structure, Taiwanese investors emphasise management credibility as an important factor that influences investment decisions. Investors are reliant on private information sources and quantitative data. Sustainability disclosures and sustainability performance beyond legal requirements are often not considered. Taiwanese investors lack awareness of the IIRC Framework and are sceptical about the premise that integrated reports can provide information material to investment appraisal. The assertion that integrated reports reduce information asymmetry and influence investment decisions has to be treated with caution.

Self-selection bias and a potential lack of transferability in the findings are issues inherent in the research method and sample used.

IR information needs to be frequently updated rather than disclosed in a periodic report. Furthermore, integrated reports need to demonstrate a direct link between non-financial performance and financial value creation.

Mandating the supply of integrated reports is unlikely to influence investors’ capital allocation decisions unless investor demand is a driver of the regulation.

This study is one of the few to investigate IR from the investor’s perspective. Observations from this preliminary study warrant further investigations into the relevance of IR to investment communities globally.

The ability of a business to outperform its rivals is known as its competitive edge, and it presents special difficulties in the context of the “digital revolution,” or the fourth industrial revolution. To obtain a competitive edge in the startup operations 4.0 era, this study aims to examine the organizational, technological and competence-related challenges presented by Industry 4.0. It does this by concentrating on the tools, competencies, methods, approaches, tools and strategies that are crucial. Using the Total Interpretive Structural Modeling (TISM) technique, the goal is to find, analyze and classify enablers for startup operations 4.0.

A closed-ended questionnaire and planned interviews were used in the data collection process. In startup operations 4.0, the cross-impact matrix multiplication applied to classification method is used to rank and categorize competitive advantage factors, whereas the TISM technique is used to analyze how components interact.

The study highlights the critical significance of the “Internet of Things (IoT),” “information technologies,” “technological platforms,” “employee empowerment,” “augmented reality (AR)” and “operational technologies” in its identification of 12 enablers for startup operations 4.0.

The main focus of the study is on the variables that affect startup operations 4.0’s competitive advantage.

Academics and important stakeholders can better understand the factors influencing competitive advantage in startup operations 4.0 with the help of this research.

Large businesses have been profoundly impacted by Industry 4.0 principles; however, startup operations 4.0’s competitive advantage has not received as much attention. This paper offers a fresh take on the concept of competitive advantage in startup operations 4.0 research.

The purpose of this paper is to explore the influence of personal values on students’ learning behaviours. Hong Kong construction students are often criticized, by both practitioners and educators, as rote learners. To improve students’ learning processes, extensive research on a variety of aspects of construction education has been conducted. However, limited attention has been paid to the influence of personal values on students’ learning behaviours. The impact of personal value factors on the learning approaches of Chinese construction students in Hong Kong is investigated.

A questionnaire survey was conducted to ethically Chinese construction students in four universities in Hong Kong. A total of 820 questionnaires were distributed and 431 valid returns were collected.

The survey identified six influential values (namely, personal integrity, conservatism, determination, discipline, interpersonal relationships, and achievement), and shows that students who emphasize the virtues of personal integrity, determination, and a positive attitude toward achievement are better able to handle their interpersonal relationships, which will eventually lead them to engage in deep learning.

Work to develop appropriate value systems is thus recommended in freshmen courses, as is the use of cooperative learning approaches. Such value systems will have a long-term influence on the learning approaches of construction students.