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The purpose of this paper is to do an empirical analysis assessing whether banks highly involved into trading activities show specific business model choices. Key factors in the analysis are a proper measure for trading activities and a consistent classification of banks in terms of business choices.

We investigate three measures for trading activities proposed by regulators in the context of bank structural reform in Europe. Through robust statistics we identify the key trading players and classify banks into a limited number of business model clusters, relying on a set of balance sheet and income statement indicators.

Using a sample of 100 European banks in 2007-2012, results show that the measures identify similar, but not identical, sets of banks highly involved into trading. The measure proposed by the European Commission selects fewer banks and is more consistent over time. The business model analysis identifies six rather stable clusters, from small-medium retail-focused banks to very large investment groups. The measures coherently identify as key trading players the largest investment groups and select very few retailed focused banks. Differences among measures arise for very large retail-diversified and medium/large wholesale banks.

These results could feed the debate on which measures for trading regulators could consider depending on the target of the reform they would implement. For instance we show that the measure proposed by the European Commission selects less well capitalized retail-diversified banks compared to the others.

This paper aims to propose an innovative building information modelling (BIM)-based framework for multi-objective and dynamic temporary construction site layout design (SLD), which uses a hybrid approach of systematic layout planning (SLP) and mathematical modelling.

The hybrid approach, which follows a step-by-step process for site layout planning, is designed to facilitate both qualitative and quantitative data collection and processing. BIM platform is usedto facilitate the determination of the required quantitative data, while the qualitative data are generated through knowledge-based rules.

The multi-objective layout model represents two important aspects: layout cost and adjacency score. The result shows that the model meets construction managers’ requirements in not only saving cost but also assuring the preferences of temporary facility relationships. This implies that the integration of SLP and mathematical layout modelling is an appropriate approach to deliver practical multi-objective SLD solutions.

The proposed framework is expected to serve as a solution, for practical application, which takes the advantage of technologies in data collection and processing. Besides, this paper demonstrates, by using numerical experimentation and applying Microsoft Excel Solver for site layout optimisation, how to reduce the complexity in mathematical programming for construction managers.

The original contribution of this paper is the attempt of developing a framework in which all data used for the site layout modelling are collected and processed using a systematic approach, instead of being predetermined, as in many previous studies.

In this chapter, the interplay between the development of the discipline, the development of the field of study, and the emergence of professional fields is examined using the example of mathematics. In connection with the formation of the modern research university, mathematics has emerged as an independent scientific discipline and as an independent field of study. In the process, mathematics attains a high degree of formalization and internal coherence. This is the basis for the penetration of mathematicians into more and more professional fields, even outside science. Real problems or real facts are reduced to aspects that are amenable to mathematical modeling by treating them as quantifiable parameters. As mathematics expands as a field of study, more and more professional sectors become applications of mathematical models. As a consequence, more mathematical fields of study are differentiating themselves, specializing in these application fields. This chapter analyzes this dynamic and its preconditions.

Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.

The purpose of this study is to formulate exploratory scenarios of Operations Research through the critical uncertainty approach and Soft Systems Methodology.

In this study, to formulate plausible scenarios, the discipline of operation research internal and external experts’ opinions of this field have been gathered through Delphi approach and uncertainty questionnaires. After use of the most important uncertainties, plausible scenarios of operations research have been mapped with the help of experts through co-thinking workshops.

Four scenarios are presented in this study. These scenarios include Solar System, Esfandiar's Eye, Rival’s Setraps and Legendary Simurgh. Naturally, the imagination of such a unitary future for all academic communities is an expectation far from reality, and given the conditions of each of these futures or any integration of them is imaginable.

Operations Research models have been faced with variously multiple changes since its emergence until now. Investigation into the future of operations research on the necessity for his planning has not received a reasonable notice in the literature. Sporadic activities that have been carried out are also lacking in the necessary methodology. Also, there has been no research about future study using the soft Operation Research tools (Soft Systems Methodology).

The purpose of this paper is to determine whether the type of mathematics skills developed at secondary school an effect on students’ later success in business studies. At many business schools in Norway, more students are applying than there are places available. The ranking of applications depends on the grade point average (GPA) level, irrespective of the level or type of mathematics studied at secondary school, where the students are free to choose practically orientated or theoretical mathematics.

A quantitative analysis (regression model) was applied using data for undergraduate students enrolled in business studies over a three–year period (2012–2014).

Students with a non-theoretical background in mathematics obtain systematically lower grades on many courses, especially in core business school subjects. Ranking applicants to business studies courses based on their GPA scores irrespective of their level of mathematics may lead to the admission of less able students.

There is little information available concerning why students choose different paths in mathematics at upper secondary school, but the decision students make has an influence on their grades in business courses.

By requiring more knowledge of theoretical mathematics, students’ performance at business school will improve. Changing the admission criteria could improve the quality of graduates and reduce the dropout rate.

The purpose of this paper is to investigate trends in the use of research methodologies and publications in manufacturing strategy (MS) literature across geographical regions and suggests possible future research opportunities.

This literature review is based on a sample of 512 subject-relevant journal articles and uses content analysis as the primary method for data analysis. The paper investigates developments in the use of research methodologies – in terms of research design, data collection methods, country of data collection, sample size, respondent type, statistical techniques used and time horizon of studies; and publication trends in terms of authorship type, authorship collaboration, most prolific authors, top journals, most prolific universities, and citation analysis.

Research in MS has substantially changed from conceptual quantitative to empirical quantitative designs. NA and Europe show a declining research interest. However, other regions of the world are consistently showing higher interest. Significant opportunities and synergies exist for collaborative research among regions.

Though the literature review is limited in its selection of articles and journals it sketches a picture that may surrogate the whole research community in MS.

Trends in publications and use of research methodologies provide directions for designing research projects relevant to various geographical regions. This will help develop a holistic understanding of MS that is meaningful for managers of today’s organizations.

This paper provides broader and deeper review of the MS literature. Complex patterns in data are revealed using cross-tabulations and advanced cross-tabulations that have not been performed in previous content-analysis–based literature reviews in MS. These patterns will help position future research studies.

This study aims to describe how creative thinking ability could be improved through correcting the thinking schemata using cool-critical-creative-meaningful (3CM) learning model.

This study implemented mixed methods with explanatory sequential, which means a study that was conducted by collecting quantitative and qualitative data, consecutively. The creative thinking ability was measured through tests and then triangulated with the student teachers answers in the interviews. The qualitative data consisted of creative thinking schemata that were collected with task analysis and think aloud method. The data were analyzed in two stages. Quantitative data analysis was used to identify the effectiveness of 3CM learning. Qualitative data analysis was conducted using Miles and Huberman’s analysis.

The findings presented that 3CM learning model is significantly effective to improve the creative thinking ability of pre-service primary teacher; students with formal, content and linguistic schemata that are good and complete will also have good mathematical creative thinking ability; the mathematical creative thinking ability of student is determined by the completeness of their schemata; and a good and complete schemata (formal, content and linguistic) will help the students to produce several problem-solving alternatives.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The results of this study suggest lecturers to give their students a great opportunity to develop their creativity in solving mathematical problems. Lecturers could give the students the opportunity to think systematically by beginning by criticizing the interesting contextual problems and ending with meaningful reflection with adequate learning resources.

3CM learning model is a model that is proven to be effective in helping the students in shaping the thinking schemata well and able to improve the creative thinking ability of the students.

This paper aims to propose an account of the use of numbers and mathematical formulae and, more generally, of the quantitative aspects in the qualitative equity valuation model of the American investor Philip A. Fisher who is considered to be one of the fathers of the qualitative equity valuation models.

A Conceptual analysis was conducted (Glasersfeld, 1992) of the four volumes published by Fisher between 1954 and 1980 (1958, 1960, 1975, 1980) in relation to his equity valuation process. On the basis of this analysis, a modelization of this author’s perspective on quantitative instruments was built.

A modelization to use quantitative data in a qualitative equity valuation model that is sufficiently detailed and useful for an asset manager is proposed.

What is propose is a qualitative analysis of quantitative elements in the thought of a qualitative author on the subject of equity valuation. It is believed that this paper could be of interest to all those who use or are involved in the development of qualitative models of equity valuation or business valuation. This work is also an example of how conceptual analysis – generally employed in the field of mathematics education research – can be used to build descriptive models of decision-making processes of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

Ethnomathematics can help understand math concepts but is challenging in countries like Indonesia and Thailand due to its complexity. This study explores how math educators in these countries view integrating ethnomathematics into teaching. The purpose of this study is to see its importance in helping students understand and apply math concepts in different cultural settings. By looking at educators’ opinions, the study seeks strategies to effectively use ethnomathematics in education.

The research used a mixed-methods approach with questionnaires and interviews to gather data from 138 Indonesian and 145 Thai educators, including lecturers, teachers and preservice teachers. Quantitative data were analyzed using descriptive statistics to classify responses. Qualitative data analysis involves reducing, presenting, concluding and validating data to ensure accuracy. This approach aimed to provide a complete understanding of educators’ views on ethnomathematics.

The quantitative results showed strong support among Indonesian educators (average score 4.77) for integrating cultural elements in math education. Thai educators were slightly less enthusiastic (average score 4.57), but still positive. Interviews revealed unique cross-cultural perspectives and emphasized the need for theoretical and practical applications of ethnomathematics in the classroom. This perspective highlights the importance of social context and interaction in learning and calls for innovative teaching methods that use students’ cultural backgrounds.

This study offers new insights into how Indonesian and Thai educators view ethnomathematics, considering their cultural contexts. It underscores the importance of adapting teaching approaches to fit each country’s cultural characteristics, showing the close link between ethnomathematics and cultural development.