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While the COVID-19 outbreak affects all aspects of life in the world, there is also a global impact in the field of education. Within the scope of the measures to control the epidemic, distance education was started shortly after the starting of the spring semester in all primary and secondary schools and universities. In this process, architectural design courses, which are one of the most fundamental courses of architectural education, started to be held in online studios. The purpose of this paper is to investigate the evaluations of architecture students about the online design studio courses carried out during the COVID-19 outbreak.

This research used a qualitative approach to evaluate the ideas of first, second, third and fourth grade students of architectural design studios in the host university. A questionnaire was directed to students in order to see their opinions about the online design studio education.

Results shows that students think the most prominent benefit of online studios appears in the use of digital tools. Another important result is that if they are equipped with the necessary tools and given the chance to realize themselves, students can work efficiently even in the distance education process.

This study is important in terms of learning the expectations of students from the online process and to identify important issues that should be considered for the next semesters. In addition, this study will serve as a basis for comparative evaluation of architectural education during and after the epidemic. In this context, the study will shed light on future academic research.

The purpose of this paper is to examine the influence of electronic referral (eReferral) marketing and electronic word-of-mouth (eWOM) on brand image and purchase intention, coupled with the moderating effect of gender in the relationship.

Structural equation modeling was applied to examine the interplay between the proposed variables, using a random sample of 308 respondents in Cyprus.

The empirical results suggest the following: eReferral does influence brand image, and the impact is significant with women only; eWOM influences brand image, and the impact is more significant with women than men; eWOM influences purchase intention, and the impact is the same for both genders; brand image influences purchase intention, and the impact is more significant with women than men.

Marketing managers can benefit from these competitive advantage tools. Brand image, awareness and sales volume can be increased by utilizing eWOM or eReferral, depending on the product and/or service functionality as well as gender.

While there is a substantial research stream on eWOM, to the best of the authors’ knowledge no research has differentiated eReferral from eWOM. This paper provides useful insights regarding the two concepts.

This paper aims to discuss the potentials of interdisciplinary exercises that bring together art and design methodologies in expanding as well as redefining the given methods and principles of basic design in architecture education. The primary purpose is to improve the conventional, well-established principles and methodologies of basic design studios into fresh perspectives.

Focussing on the case study of a basic design studio assignment that translated Richard Serra's Verb List (1967-68) into space-generating operations, the authors analyse how a diagonal interdisciplinary approach to studio pedagogy opened up the basic design studio into the exploration of new concepts and approaches. The assignment encouraged architecture students to productively and creatively engage with a significant art historical work for the purposes of design thinking and exploration.

Findings reveal that the students explored the possible reciprocal influences between materials, actions, and issues of form and organisation, thereby operating in an interface between art, architecture and design surveying the possible interactions between these disciplines. Based on the outcome of this studio exercise, the authors argue that designing assignments that would bring together various and sometimes even conflicting approaches of different fields allow us to reassess and conceptualise anew the pedagogical aims and modi operandi.

The research is original in the ways in which it suggests many possibilities of dialogue, interaction and collaboration between art, design and architecture studios.

Community detection is a significant research field in the study of social networks and analysis because of its tremendous applicability in multiple domains such as recommendation systems, link prediction and information diffusion. The majority of the present community detection methods considers either node information only or edge information only, but not both, which can result in loss of important information regarding network structures. In real-world social networks such as Facebook and Twitter, there are many heterogeneous aspects of the entities that connect them together such as different type of interactions occurring, which are difficult to study with the help of homogeneous network structures. The purpose of this study is to explore multilayer network design to capture these heterogeneous aspects by combining different modalities of interactions in single network.

In this work, multilayer network model is designed while taking into account node information as well as edge information. Existing community detection algorithms are applied on the designed multilayer network to find the densely connected nodes. Community scoring functions and partition comparison are used to further analyze the community structures. In addition to this, analytic hierarchical processing-technique for order preference by similarity to ideal solution (AHP-TOPSIS)-based framework is proposed for selection of an optimal community detection algorithm.

In the absence of reliable ground-truth communities, it becomes hard to perform evaluation of generated network communities. To overcome this problem, in this paper, various community scoring functions are computed and studied for different community detection methods.

In this study, evaluation criteria are considered to be independent. The authors observed that the criteria used are having some interdependencies, which could not be captured by the AHP method. Therefore, in future, analytic network process may be explored to capture these interdependencies among the decision attributes.

Proposed ranking can be used to improve the search strategy of algorithms to decrease the search time of the best fitting one according to the case study. The suggested study ranks existing community detection algorithms to find the most appropriate one.

Community detection is useful in many applications such as recommendation systems, health care, politics, economics, e-commerce, social media and communication network.

Ranking of the community detection algorithms is performed using community scoring functions as well as AHP-TOPSIS methods.

The present study aims to propose and validate a model to measure certain variables that may contribute to increasing the bankarization rate (uptake of retail banking services) among developing-economy populations characterized by poor financial literacy and low income levels.

A quantitative empirical study is carried out in the retail banking sector of a country with low-bankarization rates. Using a self-administered questionnaire distributed online, structural equation modeling is applied to analyze the relationships between value co-creation, brand experience, brand equity and reputation.

The results show that brand equity is an antecedent of reputation that values co-creation, and brand experience positively influences brand equity and that values co-creation that positively influences brand experience.

The bankarization rate of a developing country is generally taken as an indicator of the socioeconomic wellbeing of its population. Where there is a low-bankarization rate, this renders it more difficult for financial institutions to build their reputation to attract new customers and retain existing ones. Strategies are, therefore, proposed to improve the reputation of financial institutions in such settings and, thus, contribute to increasing the bankarization rate.

The findings of this study provide an original perspective that offers a deeper understanding of the mechanisms that enable banks operating in low-bankarization markets to enhance their reputation through strategies based on customer–company interaction and branding (with the variables of brand equity, brand experience and value co-creation).

The poor leadership style is a key obstacle to the effective implementation of Industry 4.0 technologies. To successfully apply the Industry 4.0 technologies, which can enhance the sustainability of firms, senior management needs to be inspiring and transformational. On the other hand, numerous factors can hinder the Industry 4.0 transition and “Circular Supply Chain (CSC)” transformation. Therefore, the main purpose of this study is to evaluate the related barriers of CSCs in the era of Industry 4.0 transition.

The current study developed an innovative decision-making approach with the help of the “Combined Compromise Solution (CoCoSo)” method and “Criteria Importance Through Intercriteria Correlation (CRITIC)” method on the “q-Rung Orthopair Fuzzy Sets (q-ROFSs).” CRITIC in this combined method was used to predict the importance or weighting degrees of the CSCs barriers in the age of Industry 4.0 transition.

The results of this study found that the absence of knowledge about the Industry 4.0 technologies and circular approaches was the first barrier followed by the problems associated with data security in relationship management in circular flows, the deficiency of knowledge regarding the data management among stakeholders and the lack of awareness about the potential benefits of autonomous systems in labor-oriented “End-of-Life (EOL)” activities for CSCs in the era of Industry 4.0 transition.

A limitation may be that despite the generalizability of the proposed framework, the results may differ when it is implemented in different sectors. By emphasizing the obstacles to sustainable operations of supply chains (SCs) in the context of circular economy (CE) and Industry 4.0, researchers working in the same domain may be encouraged to find ways to remove such obstacles in different settings. As suggested in this study, the priority of various barriers helps researchers suggest effective strategies for the sustainable development of companies within the current dynamic business atmosphere.

The findings of this paper can aid industry practitioners in fixing their attention on the digitization or automation of their systems in the context of sustainability or resource circularity. Note that within the current context of CE, one of the crucial issues is how to conserve the existing resources; the answer to this question can save the environment.

The current paper proposed a new multi-criteria decision-making method using q-ROFSs to analyze, rank and evaluate the CSC barriers in the age of Industry 4.0 transition. To this end, a new decision-making approach with the help of CRITIC and CoCoSo methods on q-ROFSs called q-ROF-CRITIC-CoCoSo was introduced to evaluate the CSCs barriers in the era of Industry 4.0 transition.

One of the key causes of the attitude-behavior gap is inconsistency in established entrepreneurial attitude in entrepreneurship-driven educational programmes. The purpose of this research is to look at the factors that contribute to the development of sustainable entrepreneurial attitude in educational institutions.

The multi-criteria decision-making approach has been utilized for this purpose. During the study, eight factors are extracted through experts' opinions that altogether develop the sustainable entrepreneurial attitude. Extracted factors are also classified in cause-and-effect groups for better understanding. To foster sustainability through identified factors, a structured process is also suggested through the analysis.

The outcome of the study has extracted eight factors that altogether develop and upgrade general attitude into sustainable entrepreneurial attitude; systematic execution of identified factors also ensure the sustainability of evolved entrepreneurial attitude.

The outcome of the study can be used by educational institutions while designing curriculum and teaching-learning pedagogy to develop sustainable entrepreneurial attitude among future entrepreneurs; concluded factors can also be used for the screening purpose while admitting potential students for the program.

The purpose of this paper is to generate awareness of contributions made by benchmarking toward building performance of Indian service industries in globally market. Ranking of Benchmarking is done on the basis of their application which give confidence for the managers to adopt in their Industries so that they may become best in their field.

Methodology consists of three phase: define, phase include definitions, factors of benchmarking as literature outcomes, questionnaire survey and outcome of survey. In the second phase, analysis of collected data and applications of multi-criteria decision-making approaches [technique for order preference by similarity to ideal solution (TOPSIS) and analytical network process (ANP)] are used. The last phase includes comparison of results which gives validation in similarities of ranking obtained.

The study identifies seven different benchmarking techniques used for service industries. Using TOPSIS and ANP approaches shows similarity that external benchmarking, performance benchmarking and internal benchmarking are the first three ranks that give basis for several critical success factors s, namely, planning, reliability, standardization, time behavior, usability, etc., as part of benchmarking using in service industries.

The limitation is the assumptions made by multi-criteria decision-making approaches which may effect the analysis of the study as these are taken theoretically.

This study is a first attempt to find similarities in both techniques while comparing benchmarking in Indian service industries.