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The fourth industrial revolution and digital transformation have caused paradigm changes in the procedures of goods production and services through disruptive technologies, and they have formed new methods for business models. Health and medicine fields have been under the effect of these technology advancements. The concept of smart hospital is formed according to these technological transformations. The aim of this research, other than explanation of smart hospital components, is to present a model for evaluating a hospital readiness for becoming a smart hospital.

This research is an applied one, and has been carried out in three phases and according to design science research. Based on the previous studies, in the first phase, the components and technologies effecting a smart hospital are recognized. In the second phase, the extracted components are prioritized using type-2 fuzzy analytic hierarchical process based on the opinion of experts; later, the readiness model is designed. In the third phase, the presented model would be tested in a hospital.

The research results showed that the technologies of internet of things, robotics, artificial intelligence, radio-frequency identification as well as augmented and virtual reality had the most prominence in a smart hospital.

The innovation and originality of the forthcoming research is to explain the concept of smart hospital, to rank its components and to provide a model for evaluating the readiness of smart hospital. Contribution of this research in terms of theory explains the concept of smart hospital and in terms of application presents a model for assessing the readiness of smart hospitals.

This study investigates the relationship between feelings of loneliness in the workplace, life satisfaction, affect, hope and expressivity among hotel employees.

The research model was tested via structural equation modeling based on the empirical data collected from hotel employees in Antalya, Turkey.

The research findings suggest that emotional deprivation and social companionship have a significant impact on life satisfaction, that life satisfaction has a significant impact on positive and negative emotions, and that positive and negative emotions have the same impact on pathways and agencies.

The research findings should assist researchers and practitioners to understand the behaviors of hotel employees in continuous interaction and relationship with individuals to motivate them while providing more effective services.

This paper aims to investigate the impact of a firm’s pension insurance contributions (PIC) on its financialization (investment in risky assets) using a sample of Chinese firms.

The authors use a multiple regression model to conduct the analysis.

The findings suggest that a firm’s PIC increases its financialization. Additional analysis suggests that firms with higher PIC are more likely to have lower operating profit and higher financial risk. In addition, the impact of PIC on financialization is more salient when a firm faces high industry competitiveness, holds more cash, has high labor costs and labor intensity or is non-state owned.

The paper adds to the growing literature on the effect of social insurance on corporate policies. The findings complement those related to the relationship between defined contributions and defined benefits retirement plans and corporate policies.

The study contributes to the debate on the merits of financialization. The literature is mixed on the pros and cons of financialization. The results suggest that financialization has an adverse effect on a firm’s performance and risk in the lens of increased PIC.

China has seen a trend of financialization arising from the rapid economic development in the past decade. Moreover, the PIC premiums in China are not trivial. Thus, the significant cost of PIC and the financialization trend suggest that the answer to the research question is timely and meaningful.

In recent years, organizational agility (OA) has garnered significant attention from the academic community. Despite a substantial rise in the academic literature on OA, the nuanced understanding of OA among academicians, practitioners and policymakers is limited. To address this research gap, the current study attempts to synthesize the academic literature on organizational literature, understand the evolution of OA literature and state the potential research gaps that may open multiple research avenues.

The current study critically evaluates academic literature published in peer-reviewed journals using the bibliometric approach to map the intellectual structure of identified 224 articles on published literature on OA between 2001 and 2022.

The findings outline OA's evolutionary trend, most prolific authors, journals, affiliations and countries. Further, network analysis is deployed to unearth prominent OA themes. After that, four key themes of OA from each cluster have been identified and evaluated.

The study is based on the literature drawn from the SCOPUS database. Although the SCOPUS database is one of the largest databases, the authors believe that the SCOPUS does not contain some publications that might have offered some different insights. Secondly, the bibliometric analysis does not offer the opportunity to provide critical insights into published literature, which is one of the main limitations of bibliometric-based studies. However, despite some of these limitations, the authors believe that the study is a useful guide for scholars, practitioners and policymakers who do not have much information related to OA literature.

This article provides a pioneering review of the OA literature using bibliometrics and network analysis. The results and potential directions for further research may assist researchers in increasing the relevance of OA in the current uncertain and ambiguous environment.

The purpose of this paper is to analyze the interaction between internal factors of corporate governance, especially the relationship between equity checks and balances and corporate social responsibility (CSR), and further analyze the mediating of green innovation performance and the moderating role of environmental uncertainty.

This study adopts a sample of Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2012 to 2020 constructed a regulated mediation effect model, empirically tests the impact of equity checks and balances on CSR and the mediation and mediator roles of green innovation performance and environmental uncertainty.

(1) Equity checks and balances among shareholders have a significant positive impact on CSR. (2) Equity checks and balances have a positive impact on green innovation performance, green innovation performance has a positive impact on CSR and green innovation performance plays a partial mediation effect between equity checks and balances and CSR. (3) Additionally, environmental uncertainty not only moderates the relationship between Green Innovation Performance and CSR but also moderates the direct effect between equity balance and CSR, which verifies the existence of a moderated mediation effect.

The study only considers listed companies on the Shanghai and Shenzhen stock markets as the research sample and does not include unlisted and gem enterprises.

The present research can offer some managerial implications about implementing equity checks and balances among shareholders, actively fulfilling CSR and developing new products.

This study complements previous studies on the role of green innovation in corporate governance by exploring the impact of green innovation on equity checks and balances and CSR. And this study explores the dynamic moderating of environmental uncertainty within enterprises and provides another explanation for the mixed results of equity checks and balances, green innovation performance and CSR.

By demonstrating the influence of the ownership structure of A-shares listed companies on CSR, this paper provides a new and comprehensive theoretical framework to examine the interaction between equity checks and balances, green innovation performance, environmental uncertainty and CSR. The results can be used as a reference for corporate governance, improving innovation performance and fulfilling CSR.

The purpose of this paper is to provide adaptive access to learning resources in the digital library.

A novel method using ontology-based multi-attribute collaborative filtering is proposed. Digital libraries are those which are fully automated and all resources are in digital form and access to the information available is provided to a remote user as well as a conventional user electronically. To satisfy users' information needs, a humongous amount of newly created information is published electronically in digital libraries. While search applications are improving, it is still difficult for the majority of users to find relevant information. For better service, the framework should also be able to adapt queries to search domains and target learners.

This paper improves the accuracy and efficiency of predicting and recommending personalized learning resources in digital libraries. To facilitate a personalized digital learning environment, the authors propose a novel method using ontology-supported collaborative filtering (CF) recommendation system. The objective is to provide adaptive access to learning resources in the digital library. The proposed model is based on user-based CF which suggests learning resources for students based on their course registration, preferences for topics and digital libraries. Using ontological framework knowledge for semantic similarity and considering multiple attributes apart from learners' preferences for the learning resources improve the accuracy of the proposed model.

The results of this work majorly rely on the developed ontology. More experiments are to be conducted with other domain ontologies.

The proposed approach is integrated into Nucleus, a Learning Management System (https://nucleus.amcspsgtech.in). The results are of interest to learners, academicians, researchers and developers of digital libraries. This work also provides insights into the ontology for e-learning to improve personalized learning environments.

This paper computes learner similarity and learning resources similarity based on ontological knowledge, feedback and ratings on the learning resources. The predictions for the target learner are calculated and top N learning resources are generated by the recommendation engine using CF.

The purpose of this paper is to present a fuzzy Quality Function Deployment (QFD)-based approach for identifying and prioritizing organizational agility (OA) capabilities and enablers based on its drivers.

First, several models for agility drivers (ADs), agility capabilities (ACs) and agility enablers (AEs) are reviewed and ranked, and the best for each one is selected. Second, ADs’ indexes are weighted by using experts’ comments and fuzzy numbers. Finally, by using a proposed fuzzy QFD approach, ACs and AEs are prioritized. In addition, the proposed approach has been examined within a real case study, Golnoor Company in Esfahan, Iran.

Results reveal that among ADs’ criteria, “Changes in competition criteria” have the highest weights for the case study. In addition, “Leadership in the use of current technology” and “Knowledge management” have been ranked as the first place among ACs and AEs, respectively.

After conducting a comprehensive literature review, the authors did not find any particular framework, which consider AEs and ACs based on ADs simultaneously. Accordingly, the authors’ main novelty is proposing a fuzzy QFD to prioritize the OA capabilities and enablers based on its drivers.

The construction industry is facing challenges not only for workers' mobility in the pandemic situation but also for Lean Construction (LC) practise in responding to the high-quality development during the post-pandemic. As such, this paper presents a construction workforce management framework based on LC to manage both the emergency goal in migrant worker management and the long-term goal in labour productivity improvement in China.

The framework is created based on the integrated culture and technology strategies of LC. A combination of qualitative and quantitative methods is taken to explore factors influencing the mobility of construction workers and to measure labour productivity improvement. The case study approach is adopted to demonstrate the framework application.

For method application, a time-and-motion study and Percent Plan Complete indicator are proposed to offer labour productivity measurements of “resources efficiency” and “flow efficiency”. Moreover, the case study provides an industry level solution for construction workforce management and Lean Construction culture shaping, as well as witnesses the LC culture and technology strategies alignment contributing to LC practise innovation.

Compared with previous studies which emphasised solely LC techniques rather than socio-technical system thinking, the proposed integration framework as well as implementation of “Worker's Home” and “Lean Work Package” management models in the COVID-19 pandemic contribute to new extensions of both the fundamental of knowledge and practise in LC.

A separate study of the different behavioral biases does not allow for a full understanding of the complexity and stability of the heterogeneity of beliefs. Therefore, through a more global view of these anomalies, the authors wish to show that they can converge on a single concept, which is the heterogeneity of beliefs.

It is therefore essential to stress that the importance of this study is mainly reflected in the methodological approach used in the construction and analysis of the map and not only in the results achieved. This contribution states that structural analysis, as a means of building the cognitive map, can facilitate the task of investors and other decision-makers, in the identification and analysis of the heterogeneity of beliefs that can therefore guide investors' strategy in decision-making.

The authors have studied the behavior of the investor and its way of interpreting the information and the authors have emphasized the value of studying the concept of heterogeneity of beliefs in its complexity. So that part of the work seems to be relevant and crucial to filling, if you will, that void. In this sense, the authors have shown that behavioral abnormalities are multidimensional concepts: “self-deception”, “cognitive bias”, “emotional bias” and “social bias”.

In particular, this article will aim to achieve the objective of proposing a model for measuring the heterogeneity of beliefs. Thus, the authors want to show that the heterogeneity of beliefs can be measured directly through the different behavioral anomalies.

This paper aims to systematically review the literature on quality management in agri-food supply chains (SCs) and propose an integrated conceptual framework.

A systematic literature review that analyses 93 papers in peer-reviewed academic journals published from 1996 to November 2021 is conducted. A conceptual model is advanced.

Based on a hierarchy of capabilities perspective, the authors develop an integrated conceptual framework in which SC quality (SCQ) management practices promote three levels of SC dynamic capabilities, which in turn lead to agri-food SCQ performance.

The authors propose a hierarchy of capabilities perspective of quality management in agri-food SCs and develop a conceptual framework. Furthermore, a number of propositions based on dynamic capabilities and the review findings are provided. Four future research directions are presented.