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This paper focuses on Ṣukūk issuance determinants in Gulf Cooperation Council (GCC) countries. Given the dual characteristic of debt and equity of Ṣukūk as well as their unique benefits of social responsibility, the author questions whether the theories of capital structure, the trade-off and the pecking order are able to well explain the Ṣukūk issuance.

First, the author verifies these theories using capital structure determinants and regresses the Ṣukūk change on these determinants. Second, the author tests the trade-off theory with the target debt model and third, verifies the pecking order theory using the fund flow deficit model.

The empirical results show that capital structure determinants fail to explain both theories. The author confirms that the Ṣukūk change is significatively linked to the deviation from a Ṣukūk target. So, issuing firms balance the marginal costs of Ṣukūk and their benefits of religiosity and social responsibility toward a target debt. The author finds no evidence of the pecking order theory.

This study contributes to corporate finance theory and corporate social responsibility. It verifies if capital structure theories proved in conventional financing can well explain Islamic bonds issuance given their social responsibility benefits.

Managers and investors would pay attention to the social factors explaining Ṣukūk issuance in their finance and investment decisions. They would be enhanced to use this financing tool knowing its social unique benefits. This also should encourage governments to enhance this socially responsible financing. Rating agencies would be motivated to evaluate Ṣukūk and firms would improve the quality and relevance of disclosure to get the best rating.

The author highlights the social factors explaining Ṣukūk issuance and enhances corporate social responsibility (CSR).

The author extends the few literature testing capital structure theories for Islamic bonds and highlights the specific social responsible features of Ṣukūk that would bridge their issuance to capital structure theories. So the author enhances the concept of Islamic CSR. Tying capital structure theories to CSR would also help developing Islamic finance theory as a unique social responsible framework.

This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used.

The authors estimate three-level models with repeated measures, offering conditions for their correct interpretation.

From the concepts and techniques presented, the authors can propose models, in which it is possible to identify the fixed and random effects on the dependent variable, understand the variance decomposition of multilevel random effects, test alternative covariance structures to account for heteroskedasticity and calculate and interpret the intraclass correlations of each analysis level.

Understanding how nested data structures and data with repeated measures work enables researchers and managers to define several types of constructs from which multilevel models can be used.

The purpose of this paper is to present a degendered organizational resilience model challenging current and dominant conceptualizations of organizational resilience by exploring how gendered organizational power structures, language and practices of everyday organizational life interplay and limit inclusive constructions of organizational resilience.

The degendered organizational resilience model was developed using Acker’s (1990) model of gendered organizations, Martin’s (2003) gendering practices, Lorber’s (2000) degendering and other feminist research on gendered organizations. The purpose of the model is to explore power structures, practices and language within the organizational context during conditions requiring organizational resilience.

A conceptual model for analyzing the theoretical development of organizational resilience is presented. The model analyzes the following three different aspects of organizations: power structure, to identify which resilient practices receive status based on established gendered organizational hierarchies and roles; actions, to identify how resilience is enacted through practices and practicing of gender; and language, to identify how and what people speak reinforces collective practices of gendering that become embedded in the organization’s story and culture.

The degendered organizational resilience model offers a process for researchers, managers and organizational leaders to analyze and reveal power imbalances that hinder inclusive theoretical development and practices of organizational resilience.

The degendered organizational resilience model can be used to reveal power structures, gendered practices and language favoring normative masculine organizational practices, which restrict the systemic implementation of inclusive democratic practices that incorporate and benefit women, men and other groups subject to organizational subordination.

This paper offers an original perspective on the theoretical development of organizational resilience by proposing a degendering model for analysis. A feminist perspective is used to reveal the gendered power structures, practices and language suppressing the full range of resilient qualities by restricting what is valued and who gives voice to resilient processes that lead to resilient organizations.

The purpose of this paper is to highlight a collaborative effort between academia (University of North Texas, Team Sciences) and practice (Toyota Connected (TC)). This study concentrated on current problems that had been experienced by TC: How to structure and manage multiteam systems (MTSs)?

This research study utilized a realist systematic review to address an existing problem by working collaboratively with TC and academia. This collaboration involved problem identification, the development of research questions and a full systematic review guided by the research questions.

This realist systematic review merged the literature with current practices at TC in an effort to gather evidence to support the best method of structuring and managing MTSs. The findings include a leadership structure that incorporates both shared leadership (bottom-up) and existing hierarchical structures (top-down).

The MTS models presented in this study provide new models for organizations/manufacturers/industries to use as a guide when structuring their MTSs.

This study provides an example of a collaborative research effort between practice and academia using a realist systematic review. The paper also provides some multiteam system models that could be implemented and tested in different organizations. Also, new responsibilities and roles for scrum and MTSs are presented as a new method of achieving Agile.

Giant orthogonal grid barrel vault is generated by deleting members in the inessential force transfer path of the two-layer lattice barrel vault. Consisting of members in the essential transfer path only, giant orthogonal grid barrel vault is a new type of structure with clear mechanical behavior and efficient material utilization. The paper aims to discuss this issue.

The geometrical configuration of this structure is analyzed, and the geometrical modeling method is proposed. When necessary parameters are determined, such as the structural span, length, vault rise, longitudinal and lateral giant grid number and section height to top chord length ratio of the lattice member, the structure geometrical model can be generated.

Numerical models of giant orthogonal grid barrel vaults with different rise–span ratios are built using the member model that can simulate the pre-buckling and post-buckling behavior. So the possible member buckle-straighten process and the plastic hinge form–disappear process of the structure under strong earthquake can be simulated.

Seismic analysis results indicate that when the structure damages under strong earthquake there are a large number of buckling members and few endpoint plastic hinges in the structure. Dynamic damage of giant orthogonal grid barrel vault under strong earthquake is caused by buckling members that weaken the structural bearing capacity.

The purpose of this paper is to build cyber-physical-psychological ternary fusion crowd intelligence network and realize comprehensive, real, correct and synchronous projection in cyber–physical–psychological ternary fusion system. Since the network of crowd intelligence is the future interconnected network system that takes on the features of large scale, openness and self-organization. The Digital-selfs in the network of crowd intelligence interact and cooperate with each other to finish transactions and achieve co-evolution eventually.

To realize comprehensive, real, correct and synchronous projection between cyber–physical–psychological ternary fusion system, the authors propose the rules and methods of projection from real world to the CrowdIntell Network. They build the mental model of the Digital-self including structure model and behavior model in four aspects: identity, provision, demand and connection, thus forming a theoretical mental model framework of Digital-self.

The mental model is excepted to lay a foundation for the theory of modeling and simulation in the research of crowd science and engineering.

This paper is the first one to propose the mental model framework and projection rules and methods of Digital-selfs in network of crowd intelligence, which lays a solid foundation for the theory of modeling, simulation, intelligent transactions, evolution and stability of CrowdIntell Network system, thus promoting the development of crowd science and engineering.

The individual levels involved in real estate management are thoroughly discussed in the literature. This paper provides a structured meta-analysis of the different theoretical approaches in German-speaking countries. It also investigates the integration of transaction management and technical due diligence into the concepts of organisation theory. In this process, the interfaces are analysed and optimised models are developed for transferring the technical due diligence findings to the operational level.

Interviews with transaction management experts were conducted based on a narrative literature review. These interviews shed light on how the components of transaction management and due diligence are integrated into the transaction process, with a particular focus on technical due diligence. They also provide insights into how the related results are taken into account in relation to the transaction, and how they are transferred into the operational phase.

It becomes apparent that the role of transaction management is not clearly defined and delimited in the structural model of the real estate industry. Technical due diligence findings are usually transferred to the operation of the property via several, manual interfaces with corresponding losses of knowledge. The related models derived and developed for the purpose of operational optimisation define the role of transaction management against a technical background and identify the interfaces to be considered.

The significance of transaction management for subsequent operations is discussed and elaborated on. More specifically, transferring safety-relevant, high-priority findings from the technical due diligence exercise plays a crucial role for the modelling stage. On the implementation level, the derived models serve as a basis for customising the internal organisational structure.

In Germany, there has hardly been any research into the involvement of technical experts in the real estate transaction process to date. This paper provides initial approaches to optimising organisational structures and sustainably integrating technical due diligence findings into real estate operations.

Managing components' resources plays a critical role in the success of systems' architectures designed for cyber–physical systems (CPS). Performing the selection of candidate components to pursue a specific application's needs also involves identifying the relationships among architectural components, the network and the physical process, as the system characteristics and properties are related.

Using a Model-Driven Engineering (MDE) approach is a valuable asset therefore. Within this context, the authors present the so-called Systems Architecture Ontology (SAO), which allows the representation of a system architecture (SA), as well as the relationships, characteristics and properties of a CPS application.

SAO uses a common vocabulary inspired by the Architecture Analysis and Design Language (AADL) standard. To demonstrate SAO's applicability, this paper presents its use as an MDE approach combined with ontology-based modeling through the Ontology Web Language (OWL). From OWL models based on SAO, the authors propose a model transformation tool to extract data related to architectural modeling in AADL code, allowing the creation of a components' library and a property set model. Besides saving design time by automatically generating many lines of code, such code is less error-prone, that is, without inconsistencies.

To illustrate the proposal, the authors present a case study in the aerospace domain with the application of SAO and its transformation tool. As result, a library containing 74 components and a related set of properties are automatically generated to support architectural design and evaluation.

Data protection requirements heavily increased due to the rising awareness of data security, legal requirements and technological developments. Today, NoSQL databases are increasingly used in security-critical domains. Current survey works on databases and data security only consider authorization and access control in a very general way and do not regard most of today’s sophisticated requirements. Accordingly, the purpose of this paper is to discuss authorization and access control for relational and NoSQL database models in detail with respect to requirements and current state of the art.

This paper follows a systematic literature review approach to study authorization and access control for different database models. Starting with a research on survey works on authorization and access control in databases, the study continues with the identification and definition of advanced authorization and access control requirements, which are generally applicable to any database model. This paper then discusses and compares current database models based on these requirements.

As no survey works consider requirements for authorization and access control in different database models so far, the authors define their requirements. Furthermore, the authors discuss the current state of the art for the relational, key-value, column-oriented, document-based and graph database models in comparison to the defined requirements.

This paper focuses on authorization and access control for various database models, not concrete products. This paper identifies today’s sophisticated – yet general – requirements from the literature and compares them with research results and access control features of current products for the relational and NoSQL database models.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.