Faezeh Ghaffari, Maryam Shabak, Nima Norouzi and Siyamak Nayyeri Fallah
This study aims at identifying the key perceived environmental attributes that can influence patients’ sense of coherence (SOC) in hospital public spaces and can improve hospital…
Abstract
Purpose
This study aims at identifying the key perceived environmental attributes that can influence patients’ sense of coherence (SOC) in hospital public spaces and can improve hospital quality to create a salutogenic environment.
Design/methodology/approach
In total, 205 patients from the two hospitals in Sari City, Iran, participated in a questionnaire survey. The data were analyzed through structural equation modeling using partial least squares to investigate the impact of environmental qualities of public spaces on patients’ SOC.
Findings
Results confirmed that public spaces’ quality is positively associated with patients’ SOC. Accessibility has the most effective role in patients’ SOC, closely followed by relationability and intelligibility indicators. Environmental comfort also influences patients’ SOC in hospital public spaces. In comparison, the quality of the visibility is less important to patients’ SOC.
Practical implications
Findings will help hospital managers and designers to identify influential factors to improve the quality of health-care environments. Furthermore, the study will provide a picture of patients’ views and SOC intentions regarding public spaces in health-care environments.
Originality/value
To the authors’ knowledge, there is a lack of studies on the relationship between hospital public spaces and users’ SOC. Thus, this study investigates the experiences and perceptions of patients toward the quality of public spaces in hospital environments in physical, social and psychological aspects to find out its effects on patients’ SOC.
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Faezeh Ghaffari, Maryam Shabak, Nima Norouzi and Siyamak Nayyeri Fallah
This study aimed at the identification of perceptional environment properties in hospital public spaces that can affect salutogenic components and patients' overall satisfaction…
Abstract
Purpose
This study aimed at the identification of perceptional environment properties in hospital public spaces that can affect salutogenic components and patients' overall satisfaction and suggested a conceptual framework.
Design/methodology/approach
A systematic review focused on specific steps to clarify the impact of public spaces' environmental quality on patients' satisfaction through the salutogenic approach. Searches were conducted in five databases and four scientific journals.
Findings
Five perceptional environment components of hospital public spaces: physical–psychological comfort, visibility, accessibility, legibility and relationability can be related to three indicators of salutogenic approach: manageability, perception and meaning and can be evaluated in patients' overall satisfaction: desire to use hospital again, to recommend the hospital to others, to prefer hospital to other healthcare environments and to trust in the hospital.
Originality/value
Despite studies on healthcare environments, there is a lack of research on the salutogenic approach in hospital public spaces. Therefore, this paper focuses on the environmental quality in public spaces as an influence on patients' satisfaction with the salutogenic perspective to create a health-promoting environment.
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Arash Heidari and Nima Jafari Navimipour
The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized…
Abstract
Purpose
The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.
Design/methodology/approach
Systematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.
Findings
In this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.
Research limitations/implications
This research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.
Practical implications
One of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.
Originality/value
This survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.
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Alireza Souri, Amir Masoud Rahmani, Nima Jafari Navimipour and Reza Rezaei
The purpose of this paper is to present a formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach…
Abstract
Purpose
The purpose of this paper is to present a formal verification method to prove the correctness of social customer relationship management (CRM)-based service composition approach. The correctness of the proposed approach is analyzed to evaluate the customer behavioral interactions for discovering, selecting and composing social CRM-based services. In addition, a Kripke structure-based verification method is presented for verifying the behavioral models of the proposed approach.
Design/methodology/approach
Evaluating the customer behavioral interactions using the social CRM-based service composition approach is an important issue. In addition, formal verification has an important role in assessing the social CRM-based service composition. However, model checking can be efficient as a verification method to evaluate the functional properties of the social CRM-based service composition approach.
Findings
The results of model checking satisfied the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported the four knowledge creation process conditions. It was also shown that the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.
Originality/value
The comparison of time and memory consumption of the model checking method shows that the social CRM-based service composition approach covers knowledge process features, which makes it an efficient method.
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Alireza Souri, Monire Nourozi, Amir Masoud Rahmani and Nima Jafari Navimipour
The purpose of this paper is to describe how formal verification strategies have been utilized to assess the correctness of Knowledge Creation Process (KCP) in the social systems…
Abstract
Purpose
The purpose of this paper is to describe how formal verification strategies have been utilized to assess the correctness of Knowledge Creation Process (KCP) in the social systems. This paper analyzes a User Relationship Management (URM) approach in term of human behavior connection in the social systems. A formal framework is displayed for the URM which consolidates behavioral demonstrating strategy.
Design/methodology/approach
Evaluating the human behavior interactions is an important matter in the social systems. For this analysis, formal verification is an essential section in the complex information systems development. Model checking results satisfied the logical problems in the proposed behavior model analysis.
Findings
Model checking results represent satisfaction of the logical problems in the proposed behavior model analysis. In the statistical testing, the proposed URM mechanism supported KCP conditions. Also, the percentage of state reachability in the URM with KCP conditions is higher than the URM mechanism without supporting KCP conditions.
Originality/value
The model checking results show that the proposed URM mechanism with supporting the KCP conditions satisfies comprehensively behavioral interactions rather than the mechanism without KCP conditions in the social networks.
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Morteza Rahimi, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Mohammad Hossein Moattar and Aso Darwesh
This paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different…
Abstract
Purpose
This paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different online databases utilizing quality-assessment-criteria. In order to review high-quality studies, 32 papers have been chosen through the paper selection process. The selected papers have been categorized into three main groups, decision-making methods (17 papers), meta-heuristic methods (8 papers) and fuzzy-based methods (7 papers). The existing methods in each group have been examined based on important qualitative parameters, namely, time, cost, scalability, efficiency, availability and reliability.
Design/methodology/approach
Cloud computing is known as one of the superior technologies to perform large-scale and complex computing. With the growing tendency of network service users to utilize cloud computing, web service providers are encouraged to provide services with various functional and non-functional features and supply them in a service pool. In this regard, choosing the most appropriate services to fulfill users' requirements becomes a challenging problem. Since the problem of service selection in a cloud environment is known as a nondeterministic polynomial time (NP)-hard problem, many efforts have been made in recent years. Therefore, this paper aims to study and assess the existing service selection approaches in cloud computing.
Findings
The obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy. Also, since service selection in cloud computing is known as an NP-hard problem, utilizing meta-heuristic algorithms to solve this problem offers interesting advantages compared to other approaches in discovering better solutions with less computational effort and moving quickly toward very good solutions. On the other hand, since fuzzy-based service selection approaches offer search results visually and cover quality of service (QoS) requirements of users, this kind of method is able to facilitate enhanced user experience.
Research limitations/implications
Although the current paper aimed to provide a comprehensive study, there were some limitations. Since the authors have applied some filters to select the studies, some effective works may have been ignored. Generally, this paper has focused on journal papers and some effective works published in conferences. Moreover, the works published in non-English formats have been excluded. To discover relevant studies, the authors have chosen Google Scholar as a popular electronic database. Although Google Scholar can offer the most valid approaches, some suitable papers may not be observed during the process of article selection.
Practical implications
The outcome of the current paper will be useful and valuable for scholars, and it can be a roadmap to help future researchers enrich and improve their innovations. By assessing the recent efforts in service selection in cloud computing and offering an up-to-date comparison of the discussed works, this paper can be a solid foundation for understanding the different aspects of service selection.
Originality/value
Although service selection approaches have essential impacts on cloud computing, there is still a lack of a detailed and comprehensive study about reviewing and assessing existing mechanisms in this field. Therefore, the current paper adopts a systematic method to cover this gap. The obtained results in this paper can help the researchers interested in the field of service selection. Generally, the authors have aimed to specify existing challenges, characterize the efficient efforts and suggest some directions for upcoming studies.