Drawing on goal setting theory (GST), this study explores the relationship between visionary leadership behavior (VLB) and employee performance, along with the mediating role of…
Abstract
Purpose
Drawing on goal setting theory (GST), this study explores the relationship between visionary leadership behavior (VLB) and employee performance, along with the mediating role of vision commitment and the moderating role of organization resource support.
Design/methodology/approach
We conducted two studies to test hypotheses. Study 1 and Study 2 collected data from 212 and 204 full-time employees and their leaders, respectively. The data were analyzed using hierarchical regression and bootstrapping technique.
Findings
We found that VLB is positively related to employee vision commitment and vision commitment mediates the effect of VLB on employee performance. Organization resource support moderates the effect of vision commitment on employee performance and the indirect effect of VLB on employee performance via vision commitment, such that the two effects are stronger when organization resource support is high.
Originality/value
First, this study reveals the mediating role of vision commitment in the relationships between VLB and employee performance. Second, this study explores the moderating role of organization resource support in the relationship between VLB and employee performance. Third, this study enriches the theoretical perspective of VLB research and expands the application scope of GST.
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Li Chen, Sheng-Qun Chen and Long-Hao Yang
This paper aims to solve the major assessment problem in matching the satisfaction of psychological gratification and mission accomplishment pertaining to volunteers with the…
Abstract
Purpose
This paper aims to solve the major assessment problem in matching the satisfaction of psychological gratification and mission accomplishment pertaining to volunteers with the disaster rescue and recovery tasks.
Design/methodology/approach
An extended belief rule-based (EBRB) method is applied with the method's input and output parameters classified based on expert knowledge and data from literature. These parameters include volunteer self-satisfaction, experience, peer-recognition, and cooperation. First, the model parameters are set; then, the parameters are optimized through data envelopment analysis (DEA) and differential evolution (DE) algorithm. Finally, a numerical mountain rescue example and comparative analysis between with-DEA and without-DEA are presented to demonstrate the efficiency of the proposed method. The proposed model is suitable for a two-way matching evaluation between rescue tasks and volunteers.
Findings
Disasters are unexpected events in which emergency rescue is crucial to human survival. When a disaster occurs, volunteers provide crucial assistance to official rescue teams. This paper finds that decision-makers have a better understanding of two-sided match objects through bilateral feedback over time. With the changing of the matching preference information between rescue tasks and volunteers, the satisfaction of volunteer's psychological gratification and mission accomplishment are also constantly changing. Therefore, considering matching preference information and satisfaction at two-sided match objects simultaneously is necessary to get reasonable target values of matching results for rescue tasks and volunteers.
Originality/value
Based on the authors' novel EBRB method, a matching assessment model is constructed, with two-sided matching of volunteers to rescue tasks. This method will provide matching suggestions in the field of emergency dispatch and contribute to the assessment of emergency plans around the world.
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Congying Guan, Shengfeng Qin and Yang Long
The big challenge in apparel recommendation system research is not the exploration of machine learning technologies in fashion, but to really understand clothes, fashion and…
Abstract
Purpose
The big challenge in apparel recommendation system research is not the exploration of machine learning technologies in fashion, but to really understand clothes, fashion and people, and know what to learn. The purpose of this paper is to explore an advanced apparel style learning and recommendation system that can recognise deep design-associated features of clothes and learn the connotative meanings conveyed by these features relating to style and the body so that it can make recommendations as a skilled human expert.
Design/methodology/approach
This study first proposes a type of new clothes style training data. Second, it designs three intelligent apparel-learning models based on newly proposed training data including ATTRIBUTE, MEANING and the raw image data, and compares the models’ performances in order to identify the best learning model. For deep learning, two models are introduced to train the prediction model, one is a convolutional neural network joint with the baseline classifier support vector machine and the other is with a newly proposed classifier later kernel fusion.
Findings
The results show that the most accurate model (with average prediction rate of 88.1 per cent) is the third model that is designed with two steps, one is to predict apparel ATTRIBUTEs through the apparel images, and the other is to further predict apparel MEANINGs based on predicted ATTRIBUTEs. The results indicate that adding the proposed ATTRIBUTE data that captures the deep features of clothes design does improve the model performances (e.g. from 73.5 per cent, Model B to 86 per cent, Model C), and the new concept of apparel recommendation based on style meanings is technically applicable.
Originality/value
The apparel data and the design of three training models are originally introduced in this study. The proposed methodology can evaluate the pros and cons of different clothes feature extraction approaches through either images or design attributes and balance different machine learning technologies between the latest CNN and traditional SVM.
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Bing Lu and Emily F. Henderson
This paper contends that data generated by research on supervision are often taken as authentic data. Through an examination of studies that use audio/visual recordings to…
Abstract
Purpose
This paper contends that data generated by research on supervision are often taken as authentic data. Through an examination of studies that use audio/visual recordings to investigate supervision, the paper both promotes and problematises the recording of supervision meetings as a useful technique for doctoral supervision research. This paper aims to encourage a critical evaluation of methodological choices in research on supervision, and both promotes and problematises the practice of recording supervision meetings to enhance nuance in research on supervision practices.
Design/methodology/approach
This paper reviews how prior studies have adopted different research methods to construct the space of supervision, and how the chosen methods have been justified. The paper draws on data from an empirical study which included interviews with supervisors in China, based on recordings of their supervision meetings.
Findings
Presenting a single case with one participant to explore the recording and interview process in detail, this study demonstrates how hearing the supervision meeting can present a multi-faceted picture of supervision practice. This multi-faceted picture underpins the alternative understanding of authentic data that this study unpacks.
Originality/value
Drawing on the tradition of poststructuralist critiques of traditional research methodology, this study is presented as a methodological paper, with a core aim of interrogating and problematising methodological decisions taken in studies of doctoral supervision. This study reviews research methods that were used in prior studies on supervision, investigating how the chosen methods were justified and how these methods affect the resultant construction of supervision.
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Hai Hong Trinh, Ilham Haouas and Tien Thi Thuy Tran
This study provides a bibliometric analysis of business literature on the interlinks of fintech, climate risks, and sustainable finance. Fintech growth promotes national…
Abstract
This study provides a bibliometric analysis of business literature on the interlinks of fintech, climate risks, and sustainable finance. Fintech growth promotes national environmental efficiency and green finance by decreasing carbon intensity toward the net-zero target. National fintech growth moderates the impact of environmental, social, and governance investment on bank efficiency. Fintech mitigates the loan bankruptcy risk imposed by climate risks with strict mortgage lending decisions due to climate concerns. Fintech applications in banking systems optimize financing costs and increase the accessibility of money for firms, decreasing corporate greenwashing behaviors and promoting green innovation. The existing literature leaves room for future studies on fintech to promote climate finance with important policies for climate action toward Sustainable Development Goals.
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Szymon Cyfert, Joanna Górka, Katarzyna Piórkowska, Wojciech Dyduch, Waldemar Glabiszewski and Roman Batko
Based on studies combining sustainable development competencies and green consumption values, this paper aims to explore the relationship between Generation Z's sustainable…
Abstract
Purpose
Based on studies combining sustainable development competencies and green consumption values, this paper aims to explore the relationship between Generation Z's sustainable development competencies and green consumption values and to determine how sources of sustainable knowledge acquisition moderate this relationship.
Design/methodology/approach
The data collected from 1,570 students were analyzed using structural equation modeling.
Findings
Our research confirms that sustainable development competencies positively and significantly impact Generation Z’s attitudes toward green consumption values. Furthermore, sources of sustainability knowledge acquisition moderate the relationship between sustainability literacy and Generation Z attitudes toward green consumption values. The findings suggest that the acquisition of sustainability knowledge from multiple sources is critical in shaping Generation Z attitudes toward green consumption values.
Practical implications
The key to increasing attitudes toward green consumption values among Generation Z is to provide access to sources of sustainable development knowledge acquisition. Adequate information support generated by sources of sustainable development knowledge acquisition can help shape attitudes toward green consumption values that translate into appropriate purchasing decisions.
Social implications
The survey indicates the significance of diversifying sources of sustainable development knowledge. Although the study received results suggest that Generation Z’s sustainable development competencies influence attitudes toward green consumption values, they allow us to note that much greater effects are generated when a variety of sources of sustainable development knowledge acquisition are used. Thus, it is desirable not only to communicate about sustainable development but also to tailor the sources of sustainable development knowledge acquisition to the audience’s expectations are desirable.
Originality/value
This study analyzes the relationships between sustainable development competencies and green consumption attitudes, thus filling the gap in sustainable development competencies research and broadening its scope. The results indicate the need to change attitudes through the development of competencies that should enable active and responsible participation in sustainability. At the same time, the research shows some links between green consumption and purchasing behavior, suggesting the influence of green consumption values and orientations on sustainable and environmentally friendly consumption.
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Amrit Raj Paul, Manidipto Mukherjee and Mohit Kumar Sahu
The purpose of this study is to investigate the deposition of SS–Al transitional wall using the wire arc directed energy deposition (WA-DED) process with a Cu interlayer. This…
Abstract
Purpose
The purpose of this study is to investigate the deposition of SS–Al transitional wall using the wire arc directed energy deposition (WA-DED) process with a Cu interlayer. This study also aims to analyse the metallographic properties of the SS–Cu and Al–Cu interfaces and their mechanical properties.
Design/methodology/approach
The study used transitional deposition of SS–Al material over each other by incorporating Cu as interlayer between the two. The scanning electron microscope analysis, energy dispersive X-ray analysis, X-ray diffractometer analysis, tensile testing and micro-hardness measurement were performed to investigate the interface characteristics and mechanical properties of the SS–Al transitional wall.
Findings
The study discovered that the WA-DED process with a Cu interlayer worked well for the deposition of SS–Al transitional walls. The formation of solid solutions of Fe–Cu and Fe–Si was observed at the SS–Cu interface rather than intermetallic compounds (IMCs), according to the metallographic analysis. On the other hand, three different IMCs were formed at the Al–Cu interface, namely, Al–Cu, Al2Cu and Al4Cu9. The study also observed the formation of a lamellar structure of Al and Al2Cu at the hypereutectic phase. The mechanical testing revealed that the Al–Cu interface failed without significant deformation, i.e. < 4.73%, indicating the brittleness of the interface.
Originality/value
The study identified the formation of HCP–Fe at the SS–Cu interface, which has not been previously reported in additive manufacturing literature. Furthermore, the study observed the formation of a lamellar structure of Al and Al2Cu phase at the hypereutectic phase, which has not been previously reported in SS–Al transitional wall deposition.
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Wei Kang Loo, Melati Ahmad Anuar and Suresh Ramakrishnan
– The purpose of this paper is to examine the long-run relationship and short-term linkage between the Asian REIT markets and their respective macroeconomic variables.
Abstract
Purpose
The purpose of this paper is to examine the long-run relationship and short-term linkage between the Asian REIT markets and their respective macroeconomic variables.
Design/methodology/approach
The data collected comprised total return REIT Index from Japan, Hong Kong, Singapore, Malaysia, Thailand, Taiwan and South Korea and their macroeconomic variables from the date of availability of the data until December 2014. The macroeconomic variables are either available in monthly or quarterly basis, they will be separately tested with REIT Index respectively to their frequency. All the variables are tested for its stationarity prior to the investigation of their long-run relationship and short-term linkage using Johansen cointegration test and Granger causality test.
Findings
The results showed that certain of the emerging REIT markets show a higher degree of integration with macroeconomic variables in the long run. This implies that the emerging REIT markets are more sensitive towards the change in macroeconomic environment in relative to the developed REIT markets.
Practical implications
The paper implied that the distinction of each market structure and their unique way of policy implementation. The findings can assists policy makers to understand about the significance of policy implementation on the Asian REIT markets prior to decision making and also for the portfolio management my asset managers.
Originality/value
The paper is one of the few attempts at assessing the long-term relationship and short term linkage between the Asian REIT markets and the macroeconomic variables.
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Juan David Gonzalez-Ruiz, Alejandro Arboleda, Sergio Botero and Javier Rojo
The purpose of this paper is to develop an investment valuation model using the mezzanine debt mechanism based on blue bonds that explicitly allude to public–private partnerships…
Abstract
Purpose
The purpose of this paper is to develop an investment valuation model using the mezzanine debt mechanism based on blue bonds that explicitly allude to public–private partnerships (P3s) and project finance (PF). Additionally, this study proposes the financial captured value (FCV) theory for measuring how much financial value lenders may capture by becoming sponsors through financing of sustainable infrastructure systems (SIS).
Design/methodology/approach
The investment valuation model was validated through the Aguas Claras wastewater treatment plant as a case study.
Findings
The empirical results show that lenders may capture financial value by converting outstanding debt into equity shares throughout the operation and maintenance stage. Furthermore, case study results provide new insights into the implications of the debt–equity conversion ratio on the relationship between the sponsors’ internal rate of return and the FCV.
Research limitations/implications
The most significant limitation is the lack of primary and secondary information on blue bonds. Thus, robust statistical analyses to contrast results were not possible.
Practical implications
Researchers and practising professionals can improve their understanding of how mezzanine debt, P3s and PF into an investment valuation model allows financing SIS using a non-conventional financial mechanism. The recommendations will benefit both the academia as well infrastructure industry in bridging the gap between design theory and practice.
Originality/value
Sustainability components have not been addressed explicitly or combined in the financing’s structuring. Therefore, the investment valuation model could be considered a novel methodology for decision making related to financing and investment of SIS.
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Wenkai Zhou, Zhilin Yang and Michael R. Hyman
This study aims to summarize the important contextual influences East Asian philosophy may have on marketing strategy and consumerism.
Abstract
Purpose
This study aims to summarize the important contextual influences East Asian philosophy may have on marketing strategy and consumerism.
Design/methodology/approach
A qualitative approach is used to deconstruct (1) the literature on marketing as a contextual discipline, (2) East Asian philosophical underpinnings and their personal and institutional manifestations in East Asian marketing contexts, and (3) the implications for non-East Asian marketers. This essay includes a brief introduction to the manuscripts in this special issue.
Findings
Ancient philosophical wisdom shared by East Asian societies can shed light on how marketing activities and consumer behavior intertwine within East Asia and beyond. Three ancient philosophies (i.e. Confucianism, Taoism, Buddhism) heavily influence East Asian societies through personal and institutional-level cultural manifestations in marketing contexts.
Research limitations/implications
Although the three discussed East Asian philosophical schools are not exhaustive, they lay a foundation for future discussions about how alternative marketing-related theories and frameworks may complement ones grounded in western historical and cultural contexts.
Originality/value
This essay initiates an overdue academic discussion about relying on non-western historical and cultural contexts to globalize the marketing discipline further.