Search results

The research paper analyzes the connection between financial literacy among several target audiences and the dynamics of domestic economic activity within the Baltic States (Estonia, Latvia, and Lithuania). Considerable attention is also paid to literature about financial literacy and domestic economic activity in a historical, crisis-ridden, and neoliberal perspective. By examining the relationship of financial literacy and domestic economic activity, a model based on the results of fuzzy Delphi method and an author-designed limited Organisation for Economic Co-operation and Development/International Network on Financial Education core survey was carried out in the Baltic States by the author and has been elaborated and examined, concluding, that the relationship is weak, but trends that have been identified are clearly recognizable throughout iterations.

The lack of promotion and implementation of institutionalized targeted financial literacy activities in the Baltic States partially explains a positive association between financial knowledge and consumption behavior, although survey results show levels of financial literacy above 74% throughout the Baltics. The development and analysis of the model has been successful as well, even though the results are statistically only partially significant. The analysis of the model still is important in illuminating the most important factors that influence domestic economic activity in the Baltic States and the relations with key financial literacy indicators. Overall, the research paper encourages further analysis to be carried out in the Baltic States in order to assess the levels of financial literacy over time, as well as to perform an in-depth domestic economic activity analysis so as to develop a toolset for academics as well as policy makers.

This chapter focused on presenting the result of the Delphi study from the questionnaire distributed to the experts. The Delphi technique was used for modelling the construction supply chain management (CSCM) practice in the fourth industrial revolution (4IR) era. The technique was also used to predict the supply chain management's (SCM) possible trends in the construction industry. A total of 15 experts were selected for this study based on their working experience. The Delphi study also validated the gaps (organisational culture and 4IR component) identified from the existing CSCM model. The findings from the Delphi study revealed that organisational culture has a significant impact on the practice of CSCM in the 4IR era. Regarding adopting the 4IR component for the CSCM in Nigeria, the Delphi study revealed that smart management and virtualisation are the most adopted. Unfortunately, the cyber-physical system, the heartbeat of the 4IR, is yet to be fully implemented for CSCM practice in the Nigerian construction industry.

An experiment is undertaken to assess how the level of information provided to survey groups impacts upon the decisions they make. In this experiment, a group of experts is surveyed first to determine both the forms and levels of information important to them regarding an obscure environmental resource (remote mountain lakes), as well as their ranking of particular examples of these resources in accordance with their own criteria. Then three different groups of respondents are given different levels of this information to assess how their WTP for the resources responds to varying levels of this information, and how their rankings of the different goods alters with the information provided. The study reports evidence that generally increased levels of information provide significant quantitative changes in aggregate WTP (the enhancement effect), as well as a credible impact on their ranking of the various goods. On closer examination, much of the enhancement effect appears to be attributable to the changes in ranking, and to changes in the WTP for a single lake at each level of information. In addition the ranking does not respond in any consistent or coherent fashion during the experiment until the information provided is complete, including a ranking of subjectively reported importance by the expert group, and then the survey group converges upon the expert's group rankings. In sum, the experiment generates evidence that is both consistent with the anticipated effects of increased levels of information but also consistent with the communication of information-embedded preferences of the expert group. It may not be possible to communicate expert-provided information to survey groups without simultaneously communicating their preferences.

A Delphi study was conducted to identify the critical variables of successful implementation of sustainable road infrastructure projects (SRIPs) in developing countries, determine the reasons for the various viewpoints held by infrastructure development professionals, determine what motivates and pushes the infrastructure sector to pursue sustainability, and determine the factors that could impact the implementation of a project for sustainable road infrastructure. Expert feedback was used to determine values for these metrics and indicators, and most of the panellists reached a consensus on the final decision. Statistical methods were used to determine whether there was a general agreement with respect to the statements and questions asked. The findings of the study were presented alongside its overarching principles. The most important criteria for SRIP implementation were socio-cultural sustainability, economic sustainability, environmental sustainability, and engineering performance, with little consensus on environmental sustainability and public participation. The primary purpose of this study was to identify the most crucial determinants of effective SRIP implementation in low-income nations. Interquartile deviation (IQD) values ranged from 7.0 to 8.1, but IQD values varied from 2.00 to 3.00. Thirty-one environmental sustainability indicators were assessed as important or very important, with 26 out of 30 having IQD values between 0.00 and 1.00. Six sub-attributes were deemed extremely significant and four important when experts examined institutional sustainability, with no consensus on the final four indications (IQD 1). Fourteen of twenty-one Public Participation Indicators were deemed ‘major’ by panellists for SRIP implementation, with consensus among experts. Ten factors contribute to diverse perceptions of sustainability, with only 2 deemed crucial and 18 deemed important. The four most essential indicators of successful SRIP implementation are VHI: 9–10). The other seven criteria were crucial because their median scores were between 7.00 and 10. The Delphi survey explained why various individuals in the infrastructure industry have divergent views on what it means to be sustainable. Twenty-one factors were identified as contributors to divergent perspectives on sustainability among infrastructure industry stakeholders. The Delphi survey also established the factors that affect the success of SRIP implementation in low-income countries, leading to the development of the conceptual SRIPI model.

Allocating risk in public–private partnership (PPP) projects based on public–private parties’ risk management (RM) capabilities is a condition for success of these projects. In practice, however, risks are allocated to these parties beyond their respective RM capabilities. Too much risk is often assigned to the private or public party, resulting in poor RM and costly contract renegotiations and terminations. This chapter proposes a methodology based on fuzzy set theory (FST) in which decision makers (DMs) use linguistic variables to assess and calculate RM capability values of public–private parties for risk events and to arrive at risk allocation (RA) decisions. The proposed methodology is based on integrating RA decision criteria, the Delphi method and the fuzzy synthetic evaluation (FSE) technique. The application of FSE allows for the introduction of linguistic variables that express DMs’ evaluations of RM capabilities. This provides a means to deal with the problems of qualitative, multi-criteria analysis, subjectivity and uncertainty that characterise decision-making in the construction domain. The methodology is outlined and demonstrated based on empirical data collected through a three-round Delphi survey. The public–private parties’ RM capability values for land acquisition risk are calculated using the proposed methodology. The methodology is helpful for performing fuzzy-based analysis in PPP projects, even in the event of limited or no data. This chapter makes the contribution of presenting a RA decision-making methodology that is easy to understand and use in PPP contracting and that enables DMs to track calculations of RM capability values.

The workforce management model conceptualised for the effective management of the construction workforce was subjected to expert scrutiny to determine the suitability and applicability of the identified practices and their attributed variables to the construction industry. In achieving this, a Delphi approach was adopted using experts from construction organisations in South Africa. These experts comprised workforce management personnel and construction professionals in senior management positions. The data were analysed using appropriate statistical tools such as interquartile deviation, Kendell’s coefficient of concordance, and chi square to determine consensus among these experts. After a two-round Delphi, the seven constructs proposed in the conceptualised workforce management model were adjudged to be important and worthy of adoption by construction organisations seeking to improve workforce management in the current fourth industrial revolution era.

The development of social media provides new opportunities for recruitment and raises various questions. This chapter aims to clarify areas of agreement and disagreement regarding the integration of social media in recruitment strategies.

A Delphi study was conducted among a panel of 34 French experts composed of 26 practitioners and 8 academics.

Three quantitative results and five qualitative results are presented. Social media appear as an opportunity to raise the strategic role of HR professionals through employer branding strategy, internal skills development, and a greater involvement of managers within the sourcing process.

This study points out several barriers and limits regarding the integration of social media in recruitment strategies and encourage HR professionals to take up the challenge. Multiple recommendations are addressed to HR professionals.

This chapter is based on an innovative application of the Delphi method. Moreover, it offers a more comprehensive and critical look on the integration of social media in recruitment strategies.

Purpose: The study is designed to investigate internal audit functions in banks’ cyber security governance processes by assessing the pros and cons of blockchain technology through swot analysis.

Need of the Study: The study is needed to clarify the complexities in internal audit fields integrated into cyber security governance and explore the blockchain application opportunities.

Methodology: Blockchain technology is explored from the point of technical concepts and policy framework by swot analysis to propose a set of solutions for continuous audit methods in cyber security governance.

Limitations: The sample of this study is limited to the personal ideas and evaluations of academicians, experts in the banking sector and legal regulators of Türkiye, with the data received between March and December 2021.

Findings: Blockchain technology can be applied as an alternative to conventional risk control methods as a mechanism of continuous audit methods to reduce human mistakes and special causes.

Practical Implications: The control of risk management operations for cyber security processes should be performed with the support of audit units of the banks. Therefore, innovations are being implemented to cyber-risk controls to drop the defects that cause technical and ethical issues with blockchain technology as a way of using automation. So, this advancement can be applied in audit operations practically for unanticipated events which can emerge in cyberspace to mitigate inherent risk to residual levels. However, there is ample room to adapt this technology for cyber security management and audit practices from the point of view of the labour force, regulations and environmental issues.