Philipp Klotz, Tsoyu Calvin Lin and Shih-Hsun Hsu
Greece, Ireland, Portugal and Spain have been in the spotlight of the recent economic crisis in Europe. With their economy strongly reliant on the construction industry, these…
Abstract
Purpose
Greece, Ireland, Portugal and Spain have been in the spotlight of the recent economic crisis in Europe. With their economy strongly reliant on the construction industry, these countries have become widely exposed to the downturn in the property sector. This paper aims to examine residential property bubble dynamics in the period from 2003 to 2014 and investigate the role of financing conditions in the formation of these bubbles.
Design/methodology/approach
Building on the present value model in conjunction with the rational bubble assumption, the study applies the discounted cash flow (DCF) approach and applies weighted average cost of capital (WACC) to capture real estate bubble dynamics in the four countries. Reduced form vector autoregression models are used to examine the relationship between financing conditions and the bubble indicator.
Findings
The bubble indicator suggests that Spain and Ireland experienced a large rise in the bubble relative to moderate increases in Portugal and Greece in the period from 2003 up to the collapse in 2008. Our findings from the empirical analysis indicate that central bank policy shifts that impact interest rates and lending volumes on the domestic level have a significant and leading effect on the formation of residential property bubbles.
Originality/value
Only little research on real estate bubbles takes financial leverage into account. This paper bridges this gap by applying the WACC in the DCF model to identify real estate bubbles. While using a distinct bubble indicator, this analysis provides new insights into the linkage between financing conditions and real estate bubbles.
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Cornelius J. König, Manuela Richter and Isabela Isak
According to previous research, exit interviews do not fulfil the purpose of generating useful feedback from parting employees. According to signaling theory, they might, however…
Abstract
Purpose
According to previous research, exit interviews do not fulfil the purpose of generating useful feedback from parting employees. According to signaling theory, they might, however, serve a different purpose: to leave one last good impression on parting employees, and the aim of this study was to test this.
Design/methodology/approach
A survey was administered to a sample of 164 German employees.
Findings
Consistent with arguments based on signaling theory, those who experienced an exit interview reported more residual affective commitment toward their former employer and less willingness to complain about it, and these effects were mediated by interpersonal fairness perceptions. In addition, the probability of having an exit interview was found to depend on the resignation style of employees.
Research limitations/implications
This new perspective on exit interviews can renew the interest in studying how organizations manage the offboarding process.
Practical implications
This study advises employers to conduct “exit conversations” (as two-way interactions rather than one-way interviews) and to carefully plan the exit phase.
Originality/value
To the best of the authors’ knowledge, this is the first study that proposes a signaling theory perspective of exit interviews and that links exit interviews with the literature on resignation styles.
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This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative…
Abstract
Purpose
This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions.
Design/methodology/approach
EQCA supplements the method of qualitative content analysis, which enables researchers to deal with large amounts of data, with two elements from grounded theory, which allow detailed analysis and interpretation of codes and sub-codes. The elements in question are axial coding and theoretical sampling.
Findings
EQCA provides a method to generate middle-range theories by combining theoretical and empirical analysis to address and theorize the complex interactions between actors, structures and norms in international institutions. The value added by the proposed method is demonstrated with a case study of a United Nations intergovernmental working group in the issue area of business and human rights.
Originality/value
Based on the concepts of interpretation and social causality, this paper contributes to the body of qualitative research that transcends the dichotomy between positivist and post-positivist approaches in the disciplines of international relations and international political theory.
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This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to…
Abstract
Purpose
This study aims to propose and develop a new digital collaborative supply chain (CSC) model completely based on the emerging Industry 4.0 technologies. The digital model aims to support the main factors likely to affect CSC. This proposed model combines the most well-known digital tools such as blockchain technology, Internet of Things (IoT) and cloud computing (CC).
Design/methodology/approach
Motivated by its effective solution to enhance trust, traceability, transparency and minimize costs and risks, the combination of the most well-known digital tools such as blockchain technology, IoT and CC to develop a new digital CSC model is addressed in this research. This study first investigates and conducts a deep review analysis that explores how Industry 4.0 technologies can enable collaboration mechanisms. Second, based on an analysis of literature review, the main factors likely to affect CSC have been identified and analysed. Finally, the authors combine digital tools to support the identified factors to enhance transparency, traceability and trust by proposing a new digital CSC model. This proposed model will be used as a referential guide to encourage and motivate SC actors to collaborate in digital CSC.
Findings
This work provides many important contributions to theory and practice. First, role and impacts of the most well-known digital tools such as blockchain technology, IoT and CC for digitizing CSC have separately presented and developed. Second, the authors conceptualized a framework by developing a new digital CSC model. This conceptual digital model can be used as a referential guide for all SC actors in order to motivate them to collaborate in a modern, intelligent, secure and reliable SC. It can also support all factors affecting CSC.
Originality/value
The originality of this study is first investigating separately the roles and impacts of each digital tool on CSC performance. Second, the authors combine the most well-known digital tools such as blockchain technology, IoT and CC in order to develop an efficient, smart, modern and new digital CSC model. In this combination, CC is used as platform as a service enabling to link and connect the blockchain and IoT to support the main factors affecting CSC. Unlike to digital CSC model with only one digital tool, the proposed model is more realistic since depending on the information to be shared with other actors, the most appropriate tool will be automatically detected and used. This solution offers a large choice to SC actors for real time data and information sharing. In addition, the proposed model will largely enhance traceability, transparency and trust in CSC.