Yuqi Zhang, Xue Chen and Chunping Tan
This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.
Abstract
Purpose
This paper aims to understand how quantum leaders influence employee work behavior through effective tasks.
Design/methodology/approach
In this study, 516 questionnaires were collected using the interval data method to explore the triggering mechanisms and paths of emerging quantum leadership on constructive deviance.
Findings
The findings indicate that quantum leadership promotes constructive deviance through facilitating recovery experience (affective path), job crafting (task path) and the chained mediation path between the two. Additionally, the moderating effect of openness to experience strengthens the pathways between quantum leadership and recovery experience, and between quantum leadership and job crafting.
Research limitations/implications
This study focuses closely on the mechanism of leadership behavior on employees, neglecting the psychological state and behavior of the leader as a key resource element in the work environment. Quantum leadership emphasizes value-bound characteristics, so the role played by quantum leaders may vary in different cultures and values.
Practical implications
First, this study calls for the organizational management focusing on the advantages of quantum leadership thinking and its positive effects in practice. Second, the mediating mechanisms of recovery experience and job crafting provide insights into how quantum leadership can be used to enhance constructive deviance. Third, this study elucidates how individual responses to organizational environment and leadership style vary in management practices. Our study helps managers better understand how individual characteristics, such as openness to experience, influence managerial behavior.
Social implications
This study enriches the qualitative research on emerging “quantum” perspectives of leadership, expands the mechanism of employee constructive deviance and highlights the need for organizations to take measures that encourage constructive deviance by their employees, as this can lead to high-quality and long-term growth.
Originality/value
Based on conservation of resources theory, authors revealed the mechanisms by which quantum leadership influences employees’ constructive deviance, confirming the mediating role of recovery experience and job crafting as well as the moderating role of openness to employee experience. We explored the moderating mechanisms of the individual trait of openness to experience in the quantum leadership-to-job crafting and the recovery experience-to-job crafting.
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T. Bhavan, Changsheng Xu and Chunping Zhong
South Asia has been an important destination of foreign aid over the past decades. Since a large part of aid is disbursed for social and economic infrastructure development in…
Abstract
Purpose
South Asia has been an important destination of foreign aid over the past decades. Since a large part of aid is disbursed for social and economic infrastructure development in South Asian countries, and the volume of aid has tremendously increased in recent years, the purpose of this study is to investigate how far various categories of foreign aid affects economic growth rate in these countries. In addition, as the trend of each category of aid transfer appears to have been volatile, this study also investigates whether the volatilities inhibit growth rate in these countries.
Design/methodology/approach
In this study, South Asia refers to India, Bangladesh, Pakistan and Sri Lanka. The Random effects approach is employed incorporating panel data for the period of 1995‐2008. The aggregate foreign aid is classified into various categories to have a comprehensive investigation.
Findings
Foreign aid positively associated with growth whereas the volatility of aid hurts it. Long‐impact aid promotes growth more than short‐impact aid does. The volatility of short‐impact aid hurts growth, whereas the volatility of long‐impact aid has no effect on it. Pure aid and its volatility have no effect on growth.
Originality/value
This study has identified the structure of foreign aid disbursed in these countries, and explored how far each category and respective volatility affects growth. These findings would be useful to the scholars and policy makers in the recipient countries as well as donors, to make foreign aid much more effective in future.
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Rashed Isam Ashqar and Júlio Lobão
This paper aims to examine the influence of religious backgrounds and religiosity on three dimensions of household finance (the decision to hold secured debt, the likelihood of…
Abstract
Purpose
This paper aims to examine the influence of religious backgrounds and religiosity on three dimensions of household finance (the decision to hold secured debt, the likelihood of being in a state of financial distress and the likelihood of being in a state of financial well-being) across a large sample of European countries.
Design/methodology/approach
The study uses data from the European Union Statistics on Income and Living Conditions (EU-SILC) data set, spanning from 2004 to 2018. The authors conduct regression analysis to examine the relationship between religion and household financial choices.
Findings
The study finds that belonging to a predominantly Catholic or Orthodox (Protestant) country is negatively (positively) associated with the likelihood of holding a mortgage. Belonging to a mostly Catholic (Protestant) country is negatively (positively) associated with the likelihood of being in a state of financial distress. Belonging to a predominantly Catholic (Protestant) country is positively (negatively) associated with the likelihood of being in a state of financial well-being. These relationships remain robust after controlling for a large number of demographic and economic variables.
Originality/value
In this paper, the authors analyze for the first time the impact of religion on household finance in a wide range of European countries. It is also the first time that the EU-SILC database, which aggregates data on more than three million European households, is used for the study of this topic.
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Zishuo Han, Chunping Wang and Qiang Fu
The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for…
Abstract
Purpose
The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for ground monitoring.
Design/methodology/approach
An accurate detector called the rotation region-based convolution neural networks (CNN) with multilayer fusion and multidimensional attention (M2R-Net) is proposed in this paper. Specifically, M2R-Net adopts the multilayer feature fusion strategy to extract feature maps with more extensive information. Next, the authors implement the multidimensional attention network to highlight target areas. Furthermore, a novel balanced sampling strategy for hard and easy positive-negative samples and a global balanced loss function are applied to deal with spatial imbalance and objective imbalance. Finally, rotation anchors are used to predict and calibrate the minimum circumscribed rectangle of vehicles.
Findings
By analyzing many groups of experiments, the validity and universality of the proposed model are verified. More importantly, comparisons with SSD, LRTDet, RFCN, DFPN, CMF-RCNN, R3Det, SCRDet demonstrate that M2R-Net has state-of-the-art detection performance.
Research limitations/implications
The progress in the field of MiniSAR application has been slow due to strong speckle noise, phase error, complex environments and a low signal-to-noise ratio. In addition, four kinds of imbalances, i.e. spatial imbalance, scale imbalance, class imbalance and objective imbalance, in object detection based on the CNN greatly inhibit the optimization of detection performance.
Originality/value
This research can not only enrich the means of daily traffic monitoring but also be used for enemy intelligence reconnaissance in wartime.
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Harriet Stranahan and Dorota Kosiel
This study aims to explore patterns in e‐tail spending across different demographic groups and to predict which households are the most frequent shoppers and highest spenders…
Abstract
Purpose
This study aims to explore patterns in e‐tail spending across different demographic groups and to predict which households are the most frequent shoppers and highest spenders. Further, it aims to investigate which households are least likely to purchase from unfamiliar online stores.
Design/methodology/approach
Using a random sample of Florida households, the study is the first to use probit and ordered probit models to study Internet purchasing behavior.
Findings
Younger, college educated, higher income households living in suburban, rural and small towns spend and shop the most online. Caucasians purchase online more often than African Americans and Hispanics but spend about the same amount. The study also finds that male, Hispanic, college educated and younger consumers are more willing to purchase from unfamiliar online stores.
Originality/value
This study provides new evidence on factors affecting household online spending and buying decisions. Previous studies have not used an ordered probit to model different levels of spending and this new specification provides information about which demographic groups are the most (or the least) frequent buyers as well as which demographic groups are the highest (or the lowest) e‐tail spenders. This study also investigates which demographic groups are most likely to shop only at stores with whom they are already familiar.