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Different from manufacturing resources allocation problems, the prices and amounts of limited public service resources could not be changed with the consumers’ requirements and social fairness is the most important objective for improving allocation efficiency. To measure social fairness reasonably, the purpose of this paper is fourfold: first, divide social fairness into longitudinal comparative fairness and crosswise comparative fairness, therefore providing their calculation formula and describing the comprehensive fair degree by using the interval numbers. Second, the comparison regulations of interval numbers are given and the corresponding features are also described. Third, an extension of VIKOR method is put forward for evaluating social fairness of different allocation alternatives with interval numbers. Finally, a numerical example illustrates the proposed method and clarifies the main results developed in the paper.

In this paper, the author depicts the social fair degree as an interval number, and thus proposes the comparison method between any two interval numbers. Based on the basis procedure of the VIKOR method, the paper proposes an extension of the fuzzy VIKOR method with the interval numbers to rank and select the compromise allocation alternatives. Finally, a numerical example illustrates the practicability of the proposed method.

The comparison of interval numbers is very important when the author evaluates the decision alternatives. Through analyzing the present comparison methods, the paper proposes the simple method of comparing the interval numbers, which can obtain the same results with the above two methods. The fuzzy VIKOR method, a popular multi-criteria decision-making method, focusses on ranking and selecting from a set of alternatives in a fuzzy environment. For the fuzzy value, the paper also proposes the extension of the VIKOR method to perform an evaluation and get the compromise alternatives.

According to the huge customers’ requirement, how to improve their social fair degree has become the focus in public service resources allocation, where the social fair degree may be a comprehensive concept which includes the fair degree compared with all the other allocation alternatives and the fair degree compared with the other small group under the same allocation alternative. In the paper, the author defines the above two types of fair degree and then depicts the comprehensive fair degree as their integration, which will be interval numbers.

This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers.

This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for additive DEA models; computing the priority weights of attributes using the AHP method to impose weight bounds on attribute weights in additive DEA models; computing grey relational grades using a pair of additive DEA models to assess the performance of each alternative from the optimistic and pessimistic perspectives; and combining the optimistic and pessimistic grey relational grades using a compromise grade to assess the overall performance of each alternative.

The proposed approach provides a more reasonable and encompassing measure of performance, based on which the overall ranking position of alternatives is obtained. An illustrated example of a nuclear waste dump site selection is used to highlight the usefulness of the proposed approach.

This research is a step forward to overcome the current shortcomings in the weighting schemes of attributes in a fuzzy multiattribute GRA methodology.

Written communication differences across cultures can set the tone for effective or disastrous business relationships. Although English has been the go-to language in business, managers from different countries can significantly differ in how they convey the firms' information. This study explored these differences by examining the documentation presented by foreign corporations as part of their initial public offering (IPO) in the USA, particularly Chinese firms.

This work examined cultural-related differences in written communications by looking at foreign corporations' descriptions of their strengths, strategies and challenges included in F-1 documents submitted to the Securities and Exchange Commission as part of the IPO process. The sample consisted of 97 American depositary receipts (ADRs) identified in the Bank of New York Mellon's ADR directory from 2003 to 2015.

This study found that Chinese firms significantly differ from other countries' firms in depicting their strengths, strategies and challenges.

Limitations have to do with the sample size. Future research may address this by considering other depositary markets, not just the USA.

The results will be significant for potential ADRs investors; they must be conscious of these differences in the written documentation submitted by Chinese firms compared to other foreign firms. The market should also be aware of these differences, as the Chinese seem less open to sharing information about the under spinning of their operations and financial prospects.

The Government of Korea institutionalized the World Korean Business Convention (WKBC) and the World Korean Business Network (WKBN) to promote Korean diaspora entrepreneurs’ investment in the homeland. Few studies have examined the effectiveness of the WKBC and WKBN and the critical variables affecting them. This paper aims to fill this gap by exploring important variables affecting Korean diaspora entrepreneurs’ investment in the homeland. It also seeks to examine the relationships among these variables to inquire upon a set of critical questions pertaining to Korean diaspora entrepreneurs’ investment in the homeland including the effectiveness of the WKBC and WKBN.

To achieve the above purpose, critical variables influencing Korean diaspora entrepreneurs’ investment in the homeland were identified and four hypotheses that include the inquiries pertaining to the effectiveness of the WKBC and WKBN were developed in terms of those variables. The hypotheses were empirically tested using the survey data gathered from the participants of the annual WKBC.

The current research found that Korean diaspora entrepreneurs’ evaluation of the investment climate in the homeland was not favorable. The WKBC was positively evaluated by Korean diaspora entrepreneurs willing to make investment, There is discrepancy between expectations of the WKBN’s target group (i.e. Korean diaspora entrepreneurs willing to make investment) and its performance for the group, and there is a difference between ascending and descending Korean diaspora entrepreneurs in assessment of investment value of the homeland.

A majority of studies on diaspora entrepreneurship and development have so far cast light on ascending diaspora entrepreneurs while neglecting descending diaspora entrepreneurs. In this regard, the most interesting finding of the current study to both researchers and policymakers may be the fact that descending Korean diaspora entrepreneurs assess the investment value of the homeland differently from ascending Korea diaspora entrepreneurs. The finding calls for further research on causes of the difference, and different natures of descending diaspora entrepreneurs compared to those of ascending diaspora entrepreneurs. Such research will enable policymakers to formulate and implement effective strategic diaspora policies that take the differences into consideration.

Within the growing study of transnational entrepreneurial practice, existing conceptualisation of diaspora entrepreneurship has often lacked engagement with the particularities of the diaspora condition. This paper seeks to advance theoretical understanding and empirical study of diaspora entrepreneurship through identifying the processes that generate diaspora entrepreneurship across economic, social and political spheres.

To analyse the relationship between the development of venture activity and diaspora (re)production, in depth, qualitative biographical analysis was undertaken with UK-based diaspora entrepreneurs embedded within the particular contexts of the Sri Lankan Tamil and Kurdish diasporas. Skilled and active diaspora entrepreneurs were purposively selected from these extreme case contexts to explore their entrepreneurial agency within and across the business, social and political realms.

Results identified key dimensions shaping the development of diaspora entrepreneurship. These comprised the role of diaspora context in shaping opportunity frameworks and the mobilisation of available resources, and how venture activity served to sustain collective diaspora identity and address diaspora interests. These findings are used to produce an analytical model of the generation of diaspora entrepreneurship to serve as a basis for discussing how heterogeneous and hybrid entrepreneurial strategies emerge from and shape the evolving diaspora context.

By placing the reproduction of social collectivity centre-stage, this paper identifies the particularities of diaspora entrepreneurship as a form of transnational entrepreneurship. This recognizes the significance of a contextualised understanding of entrepreneurial diversity within wider processes of diaspora development, which has important implications for policy and practice development in homeland and settlement areas.

This paper aims to update the cybersecurity-related accounting literature by synthesizing 39 recent theoretical and empirical studies on the topic. Furthermore, the paper provides a set of categories into which the studies fit.

This is a synthesis paper that summarizes the research literature on cybersecurity, introducing knowledge from the extant research and revealing areas requiring further examination.

This synthesis identifies a research framework that consists of the following research themes: cybersecurity and information sharing, cybersecurity investments, internal auditing and controls related to cybersecurity, disclosure of cybersecurity activities and security threats and security breaches.

Academics, practitioners and the public would benefit from a research framework that categorizes the research topics related to cybersecurity in the accounting field. This type of analysis is vital to enhance the understanding of the academic research on cybersecurity and can be used to support the identification of new lines for future research.

This is the first literature analysis of cybersecurity in the accounting field, and it has significant implications for research and practice by detailing, for example, the benefits of and obstacles to information sharing. This synthesis also highlights the importance of the model for cybersecurity investments. Further, the review emphasizes the role of internal auditing and controls to improve cybersecurity.

This study aims to assess the use of variational quantum imaginary time evolution for solving partial differential equations using real-amplitude ansätze with full circular entangling layers. A graphical mapping technique for encoding impulse functions is also proposed.

The Smoluchowski equation, including the Derjaguin–Landau–Verwey–Overbeek potential energy, is solved to simulate colloidal deposition on a planar wall. The performance of different types of entangling layers and over-parameterization is evaluated.

Colloidal transport can be modelled adequately with variational quantum simulations. Full circular entangling layers with real-amplitude ansätze lead to higher-fidelity solutions. In most cases, the proposed graphical mapping technique requires only a single bit-flip with a parametric gate. Over-parameterization is necessary to satisfy certain physical boundary conditions, and higher-order time-stepping reduces norm errors.

Variational quantum simulation can solve partial differential equations using near-term quantum devices. The proposed graphical mapping technique could potentially aid quantum simulations for certain applications.

This study shows a concrete application of variational quantum simulation methods in solving practically relevant partial differential equations. It also provides insight into the performance of different types of entangling layers and over-parameterization. The proposed graphical mapping technique could be valuable for quantum simulation implementations. The findings contribute to the growing body of research on using variational quantum simulations for solving partial differential equations.

The purpose of this paper is to understand whether and how the Environmental, Social and Governance (ESG) paradigm can be useful in social reporting in the context of nonprofit healthcare organizations. In other words, the study deals with non-financial reporting and information, allowing external stakeholders to comprehensively evaluate the organization’s performance and behavior, investigating internal stakeholder perception over ESG paradigm application.

The authors used a case study approach investigating four cases among nonprofit healthcare organizations in Italy. Analyses of available primary sources have been conducted, followed by semi-structured interviews. Interviews were then transcribed and coded in a joint blinded process by all authors. More specifically, three areas have been investigated: (1) factors motivating the development of non-financial disclosure practices; (2) the rationale behind the organization’s decision to include specific topics; and (3) the future perspective on the future of non-financial disclosure within the specific sector.

ESG may serve as a suitable framework to create comparable documents that can act as benchmarks for similar institutions. However, while nonprofit organizations (NPOs) can draw inspiration from ESG, the utility of these criteria should be thoughtfully tailored to align with the organization’s mission. The ESG using as a general guide, instead of implementing it as a real tool to assess performances, emerges as a positive practice. NPOs should not focus on fulfilling ESG requirements bur rather take inspiration from them. Otherwise, the risk is an excess of focus on the formal aspect rather than on its content.

The study contributes to a better understanding of social and ESG’ reporting activities and approaches in the healthcare sector by describing some case studies and the effect of sustainability in the social reporting of nonprofit healthcare organizations.

Breast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment selection and survival prediction models. However, unlike other types of cancer, breast cancer patients can have long survival rates. Therefore, the authors propose a novel two-level framework to provide clinical decision support for treatment selection contingent on survival prediction.

The first level classifies patients into different survival periods using machine learning algorithms. The second level has two models with different survival rates (five-year and ten-year). Thus, based on the classification results of the first level, the authors employed Bayesian networks (BNs) to infer the effect of treatment on survival in the second level.

The authors validated the proposed approach with electronic health record data from the TriNetX Research Network. For the first level, the authors obtained 85% accuracy in survival classification. For the second level, the authors found that the topology of BNs using Causal Minimum Message Length had the highest accuracy and area under the ROC curve for both models. Notably, treatment selection substantially impacted survival rates, implying the two-level approach better aided clinical decision support on treatment selection.

The authors have developed a reference tool for medical practitioners that supports treatment decisions and patient education to identify patient treatment preferences and to enhance patient healthcare.