Ali Keshavarzi and Hamid Reza Horry
The main motivation of the present study is to understand the severity of the effect of health shock on Iran's oil economy and analyze the role of government under these…
Abstract
Purpose
The main motivation of the present study is to understand the severity of the effect of health shock on Iran's oil economy and analyze the role of government under these conditions.
Design/methodology/approach
Dynamic stochastic general equilibrium (DSGE) models can show the precise interactions between market decision-makers in the context of general equilibrium. Since the duration of the virus outbreak and its effect on the economy is not known, it is more appropriate to use these models.
Findings
The results of the survey of hands-on policies scenarios compared to the state of hands-off policy indicate that the effect of government expending shocks on the economy under pandemic disease conditions has much less feedback on macroeconomic variables.
Originality/value
As a proposed policy, it is recommended that the government play a stabilizing role under pandemic disease conditions.
Key messages
There is no study regarding health shock and its economic effects in Iran using DSGE models. Also, in foreign studies, the health shock in an oil economy has not been modeled.
The general idea in the present study is how the prevalence of a pandemic infectious disease affects the dynamics of macroeconomic variables.
In three different scenarios, according to the persistence of health disaster risk and the deterioration rate of health capital due to this shock, the model is simulated.
In modeling pandemic diseases, quarantine hours are considered as part of the total time of individuals.
According to the research findings, it is recommended that the government, as a policy-maker, play a stabilizing role under pandemic crises conditions.
There is no study regarding health shock and its economic effects in Iran using DSGE models. Also, in foreign studies, the health shock in an oil economy has not been modeled.
The general idea in the present study is how the prevalence of a pandemic infectious disease affects the dynamics of macroeconomic variables.
In three different scenarios, according to the persistence of health disaster risk and the deterioration rate of health capital due to this shock, the model is simulated.
In modeling pandemic diseases, quarantine hours are considered as part of the total time of individuals.
According to the research findings, it is recommended that the government, as a policy-maker, play a stabilizing role under pandemic crises conditions.
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Masoud Barati, Ehsan Heidari and Ali Karimi
This study aimed to provide a model for evaluating organizational agility in the banking industry in Isfahan using the data envelopment analysis (DEA) approach.
Abstract
Purpose
This study aimed to provide a model for evaluating organizational agility in the banking industry in Isfahan using the data envelopment analysis (DEA) approach.
Design/methodology/approach
This research’s population consists of selected first-class branches of Saderat, Melli, Shahr, Maskan, Keshavarzi, Refah and Tejarat banks. Five branches of each bank and Bank Shahr as a newly established bank with two branches were included in the study. First, a suitable DEA model was selected and then agility inputs and outputs for designing the model were extracted from the literature. The selected model is an output-oriented returns to scale model. Inputs were agility enablers extracted from the A.T. Kearney model, whereas agility results were considered as the output.
Findings
The results showed that of the 32 selected branches, 4 were efficient and 28 were inefficient. In the end, the efficient branches were ranked using the Anderson–Peterson ranking model.
Originality/value
This study tries to provide a model for evaluating the efficiency of bank branches in terms of agility (relative agility) through the DEA technique, considering inputs and outputs of the organizational agility system. Accordingly, the managers can identify the efficiency of bank branches and also they can improve the inefficiency of bank branches.
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Ahmed Al Kuwaiti, Hasan Ali Bicak and Saeed Wahass
The purpose of this paper is to evaluate the level of job satisfaction among faculty members of the health sciences program at a Saudi higher education institution; and predict…
Abstract
Purpose
The purpose of this paper is to evaluate the level of job satisfaction among faculty members of the health sciences program at a Saudi higher education institution; and predict the influence of various factors on overall job satisfaction. However, this study is quite different since it intended to evaluate the level of job satisfaction of faculty members using a self-structured questionnaire and ascertained the various factors influencing the overall job satisfaction of Saudi academics.
Design/methodology/approach
An exploratory study design was adopted and Academic Job Satisfaction (AJS) survey was administered to 943 faculty members of the health sciences program through an online system. A total of 850 faculty members responded to 47 items and one global rating item (overall job satisfaction) using a five-point ordinal scale.
Findings
The level of job satisfaction of health sciences’ faculty members on all dimensions of AJS is observed to be high (>3.5) except salary, which is shown as medium (2.5–3.49). Regression analysis indicates the factors other than Imam Abdulrahman Bin Faisal University (IAU) administrative policies and interpersonal relationships are significant predictors of overall job satisfaction; and salary is the most significant predictor of overall job satisfaction among health sciences’ faculty members.
Originality/value
This study adds a value to the existing literature by exploring the factors influencing job satisfaction of health sciences’ faculty members working in Saudi Universities. This would aid policy makers to focus on these factors, thereby improve and maintain job satisfaction among healthcare academics.
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Tülay Karakas, Burcu Nimet Dumlu, Mehmet Ali Sarıkaya, Dilek Yildiz Ozkan, Yüksel Demir and Gökhan İnce
The present study investigates human behavioral and emotional experiences based on human-built environment interaction with a specific interest in urban graffiti displaying fear…
Abstract
Purpose
The present study investigates human behavioral and emotional experiences based on human-built environment interaction with a specific interest in urban graffiti displaying fear and pleasure-inducing facial expressions. Regarding human behavioral and emotional experience, two questions are asked for the outcome of human responses and two hypotheses are formulated. H1 is based on the behavioral experience and posits that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified behavioral fear and pleasure responses. H2 is based on emotional experience and states that the urban graffiti displaying fear and pleasure-inducing facial expressions elicit specified emotional fear and pleasure responses.
Design/methodology/approach
The research design is developed as a multi-method approach, applying a lab-based experimental strategy (N:39). The research equipment includes a mobile electroencephalogram (EEG) and a Virtual Reality (VR) headset. The behavioral and emotional human responses concerning the representational features of urban graffiti are assessed objectively by measuring physiological variables, EEG signals and subjectively by behavioral variables, systematic behavioral observation and self-report variables, Self-assessment Manikin (SAM) questionnaire. Additionally, correlational analyses between behavioral and emotional results are performed.
Findings
The findings of behavioral and emotional evaluations and correlational results show that specialized fear and pleasure response patterns occur due to the affective characteristics of the urban graffiti's representational features, supporting our hypotheses. As a result, the characteristics of behavioral fear and pleasure response and emotional fear and pleasure response are identified.
Originality/value
The present paper contributes to the literature on human-built environment interactions by using physiological, behavioral and self-report measurements as indicators of human behavioral and emotional experiences. Additionally, the literature on urban graffiti is expanded by studying the representational features of urban graffiti as a parameter of investigating human experience in the built environment.
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Rosa Eidizadeh, Reza Salehzadeh and Ali Chitsaz Esfahani
This paper aims to study the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage.
Abstract
Purpose
This paper aims to study the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage.
Design/methodology/approach
The statistical population of the study was the managers and the specialists of some export companies of which 213 persons participated in this research. Path analysis was carried out to analyse and interpret the data by Amos software.
Findings
The results showed that business intelligence has a positive and significant impact on knowledge sharing, organisational innovation and gaining competitive advantage. Further, business intelligence has a positive and significant effect on competitive advantage through knowledge sharing and organisational innovation. Knowledge sharing impacts gaining competitive advantage positively and significantly. Finally, organisational innovation impacts gaining competitive advantage positively and significantly.
Originality/value
This research highlights the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage in export companies.
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Neha Chhabra Roy and Viswanathan Thangaraj
This study gauges the profitability and performance of Indian commercial banks under the technology advancements. In this study, the authors identified three domains that give…
Abstract
This study gauges the profitability and performance of Indian commercial banks under the technology advancements. In this study, the authors identified three domains that give advantage to banks due to technology incorporation, that is, increased sales revenue, reduced operating expenses, and increased employee productivity. The authors assess the effect of these domains on banks’ profitability and performance. This study is conducted for the period between the years 2003 and 2018 across 34 public and private banks for empirical analysis. The authors examined the impact of investment in technology on the profitability using panel data analysis and evaluated the long-term effect of technology investment using the vector error correction model. This study found that there is a mixed effect of technology spend on the profitability and performance of Indian banks, where private sector banks are more aggressive in technology investment as compared to the public sector banks. This study recommends an optimal technology-related strategy to gain improved productivity for the banking business, that is, planned technology reserves, customer awareness campaigns about technology-enabled products, and robust employee–customer motivation policy.
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Hongya Niu, Zhenxiao Wu, Fanli Xue, Zhaoce Liu, Wei Hu, Jinxi Wang, Jingsen Fan and Yanqi Lu
This study aims to acquire a better understanding on the characteristics and risks of heavy metals (HMs) in PM2.5 from an industrial city – Handan, China.
Abstract
Purpose
This study aims to acquire a better understanding on the characteristics and risks of heavy metals (HMs) in PM2.5 from an industrial city – Handan, China.
Design/methodology/approach
PM2.5 samples were collected on the basis of daytime and nighttime at the state controlling air sampling site in Handan city. Ten metal elements (V, Cr, Mn, Fe, Ni, Cu, Rb, Sr, Cd and Ba) in PM2.5 were determined with an inductively coupled plasma mass spectrometry. The pollution levels of metals were characterized by enrichment factors, and the sources of metals were identified with principle component analysis and cluster analysis. The ecological and health risks of metals were assessed using ecological and health risk indexes.
Findings
Results showed that the highest and lowest PM2.5 concentration appeared in winter and summer, respectively. The concentration of PM2.5 at night was higher than in the daytime in winter, yet it is the opposite in other seasons. The total mass concentration of detected metals was the highest in winter, and the total mass concentration in the daytime was higher than at night in all four seasons. The elements V, Rb, Sr and Ba exhibited a deficient contamination level; Cr, Ni and Cu exhibited a moderate contamination level; while Fe and Cd were at an extreme contamination level. The metals in PM2.5 originated from a mixture source of fossil fuel combustion and manufacture and use of metallic substances (34.04%), natural source (26.01%) and construction and traffic-related road dust (17.58%). Results from the ecological risk model showed that the ecological risk of metals was very high, especially risks related to Cd. Health risk model presented that both the non-carcinogenic and carcinogenic risk coefficients of metals were above the tolerance level of the human body.
Originality/value
The significance of the study is to further know the pollution characteristics of PM2.5 and related HMs in Handan city, and to provide references for ensuring local resident health and ecological environment.
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Keywords
Saheed Abdullahi Busari, Jelili Adegboyega Adebiyi and Miszairi Sitiris
Sadaqah, a form of Islamic charity, was widely used to mitigate the adverse consequences of the COVID-19 pandemic on people’s socio-economic conditions and well-being. However…
Abstract
Purpose
Sadaqah, a form of Islamic charity, was widely used to mitigate the adverse consequences of the COVID-19 pandemic on people’s socio-economic conditions and well-being. However, the extent to which Sadaqah served the intended purpose remains unclear. Therefore, this study aims to explore the perceived effects of Sadaqah on the situational poverty and well-being of tertiary education students in Malaysia during the pandemic. The findings of this study could provide valuable insights into whether and how Sadaqah can address situational poverty and well-being challenges during COVID-19-type emergencies.
Design/methodology/approach
This study surveyed students at three Islamic universities in Malaysia. A total of 288 complete and valid responses were collected and analysed. The study used the Kruskal Wallis test to examine the relationship between students’ socioeconomic status and their odds of receiving Sadaqah. The chi-square test was used to estimate Sadaqah’s perceived effect on students’ well-being. The repeated measure analysis of variance was used to examine the effect of Sadaqah on the situational poverty and well-being of the respondents.
Findings
The pandemic starkly magnified the situational poverty of students from underprivileged backgrounds and the well-being struggles of those from high-income households. Many students reported pandemic-induced financial and physical well-being issues, including difficulties meeting medical and food expenses. This underscores the pressing need for comprehensive support. However, the Sadaqah received by the students did not cover essential expenses such as rent, tuition and medical bills. This lack of comprehensive support could be a critical factor in Sadaqah’s limited impact on addressing situational poverty and enhancing the well-being of the students.
Originality/value
This study revealed Sadaqah’s limitations in addressing situational poverty during COVID-19-type emergencies and identified promising avenues for improvement. The findings underscore the need for a more comprehensive approach to Sadaqah, which could significantly enhance the well-being of its recipients. This insight could potentially inform policy and practice, inspiring hope for a more effective approach in the future.
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Wen Hong Xiao and M. Wang
The knowledge cloud links people and ideas while also providing worldwide resources for putting them into action. This paper aims to see how the knowledge cloud affects the…
Abstract
Purpose
The knowledge cloud links people and ideas while also providing worldwide resources for putting them into action. This paper aims to see how the knowledge cloud affects the stimulation of subordinate creativity. The impact of the knowledge cloud on transformational leadership and its impacts on subordinate creativity are examined in this investigation. Also, this study checks out the influence of knowledge cloud on motivational goal orientation and the impact of motivational goal orientation on subordinate creativity. It investigates the influence of knowledge cloud on self-efficacy and feelings of it on subordinate creativity. Moreover, this research examines the impact of the knowledge cloud on employee empowerment and its impact on subordinate creativity.
Design/methodology/approach
Knowledge sharing is known as a human rationale for information. It promotes learning, human performance, decision-making and problem-solving at the job; thus, innovation and creativity need novel knowledge. Knowledge cloud is a knowledge source that provides a base for knowledge co-creation. This investigation explores the structural relationships among knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy, employee empowerment and subordinate creativity. Here, a model is improved and experimentally examined based on the knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy and employee empowerment to improve subordinate creativity using partial least squares (PLS) and data from car factories' employees in Beijing.
Findings
The study results show that knowledge cloud, transformational leadership, motivational goal orientation, self-efficacy and employee empowerment are strongly related to subordinate creativity. In addition to using the Sobel test, all four variables' mediating role (transformational leadership, motivational goal orientation, self-efficacy and employee empowerment) is confirmed.
Practical implications
A knowledge cloud can improve the stimulating subordinate creativity of employees through transformational leadership, motivational goal orientation, self-efficacy and employee empowerment. First, the human resources department must have some programs to improve the knowledge cloud's incentive. Second, creating an atmosphere of cooperation and trust among employees should enhance the knowledge cloud's effects.
Originality/value
To the authors' knowledge, this is the first study that addresses the knowledge cloud's role in subordinate creativity in firms. This investigation also assists the creativity literature by testing the mediating effect of motivational goal orientation, transformational leadership, feelings of self-efficacy and employee empowerment.
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Ibrahim Al-Shourbaji and Waleed Zogaan
The human resource (HR) allocation problem is one of the critical dimensions of the project management process. Due to this nature of the problem, researchers are continually…
Abstract
Purpose
The human resource (HR) allocation problem is one of the critical dimensions of the project management process. Due to this nature of the problem, researchers are continually optimizing one or more critical scheduling and allocation challenges in different ways. This study aims to optimize two goals, increasing customer satisfaction and reducing costs using the imperialist competitive algorithm.
Design/methodology/approach
Cloud-based e-commerce applications are preferred to conventional systems because they can save money in many areas, including resource use, running expenses, capital costs, maintenance and operation costs. In web applications, its core functionality of performance enhancement and automated device recovery is important. HR knowledge, expertise and competencies are becoming increasingly valuable carriers for organizational competitive advantage. As a result, HR management is becoming more relevant, as it seeks to channel all of the workers’ energy into meeting the organizational strategic objectives. The allocation of resources to maximize benefit or minimize cost is known as the resource allocation problem. Since discovering solutions in polynomial time is complicated, HR allocation in cloud-based e-commerce is an Nondeterministic Polynomial time (NP)-hard problem. In this paper, to promote the respective strengths and minimize the weaknesses, the imperialist competitive algorithm is suggested to solve these issues. The imperialist competitive algorithm is tested by comparing it to the literature’s novel algorithms using a simulation.
Findings
Empirical outcomes have illustrated that the suggested hybrid method achieves higher performance in discovering the appropriate HR allocation than some modern techniques.
Practical implications
The paper presents a useful method for improving HR allocation methods. The MATLAB-based simulation results have indicated that costs and waiting time have been improved compared to other algorithms, which cause the high application of this method in practical projects.
Originality/value
The main novelty of this paper is using an imperialist competitive algorithm for finding the best solution to the HR allocation problem in cloud-based e-commerce.