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Uncertainty management (UM) in projects has been a point of attention for researchers for many years. Research on UM has mainly been aimed at uncertainty analyses in the front-end and managing uncertainty in the construction phase. In contrast, UM components in the design phase have received less attention. This research aims to improve knowledge about the key components of UM in the design phase of large road projects.

This study adopted a literature review and case study. The literature review was used to identify relevant criteria for UM. These criteria helped to design the interview guide. Multiple case study research was conducted, and data were collected through document study and interviews with project stakeholders in two road projects. Each case's owners, contractors and consultants were interviewed individually.

The data analysis obtained helpful information on the involved parties, process and exploit tools and techniques during the design phase. Johansen's (2015) framework [(a) human and organisation, (b) process and (c) tools and techniques)] was completed and developed by identifying relevant criteria (such as risk averse or risk-taker, culture and documentation level) for each component. These criteria help to measure UM performance. The authors found that owners and contractors are major formal UM actors, not consultants. Empirical data showed the effectiveness of Web-based tools in UM.

The studied cases were Norwegian, and this study focussed on uncertainties in the project's design phase. Relevant criteria did not cover all the criteria for evaluating the performance of UM. Qualitative evaluation of criteria allows further quantitative analysis in the future.

This paper gave project owners and managers a better understanding of relevant criteria for measuring UM in the owners and managers' projects. The paper provides policy-makers with a deeper understanding of creating rigorous project criteria for UM during the design phase. This paper also provides a guideline for UM in road projects.

This research gives a holistic evaluation of UM by noticing relevant criteria and criteria's interconnection in the design phase.

Purpose: Through globalization, financial markets have become more integrated and their tendency to act together has increased. The majority of the literature states that there is a cointegration between developed and emerging markets. How do positive or negative shocks in developed markets affect emerging markets? And how do positive or negative shocks in emerging markets affect developed markets? For this reason, the aim of the study is to investigate the asymmetric causality relationship between developed and emerging markets with Hatemi-J asymmetric causality test.

Design/methodology/approach: In this study, the Dow Jones Industrial Average (DJIA) index was used to represent developed markets and the Morgan Stanley Capital International (MSCI) Emerging Market Index was used to represent emerging markets. The asymmetric causality relationship between the DJIA Index and the MSCI Emerging Market Index was investigated using monthly data between January 2009 and April 2019. In the first step of the study, the Johansen Cointegration Test was used to determine whether there is a cointegration between the markets. In the next step, the Hatemi-J asymmetric causality test was applied to see the asymmetric causality relationship between the markets.

Findings: There is a weak correlation between developed and emerging markets. This result is important for international investors who want to diversify their portfolios. As a result of the Johansen Cointegration Test, it was found that there is a long-term relationship between the MSCI Emerging Market Index and the DJIA Index. Therefore, investors who make long-term investment plans should not forget that these markets act together and take into account the causal relationship between them. According to the asymmetric causality test results, a unidirectional causality relationship from the MSCI Emerging Market Index to the DJIA Index was determined. This causality shows that negative shocks in the MSCI Emerging Market Index have positive effects on the DJIA Index.

Originality/value: This study contributes to the literature as it is one of the first studies to examine the asymmetrical relationship between developed and emerging markets. This study is also useful in predicting the short- and long-term relationship between markets. In addition, this study helps investors, portfolio managers, company managers, policymakers, etc., to understand the integration of financial markets.

The aim of this paper is to study the development of a smoldering crisis over time. The focus is on a nationwide news media and online news communication related to a smoldering crisis running in the Danish healthcare system since 2016: the problematic implementation of a large-scale electronic health record (EHR), technology entitled Sundhedsplatformen (SP), in the hospitals of the capital region of Denmark.

Based on insights from crisis communication theories and in particular rhetorical arena theory (RAT), traces of SP smoldering crisis and patterns of discursive strategies are identified and explained from a longitudinal perspective to explain the communicative complexity that characterizes this smoldering crisis. To build an understanding of how this smoldering crisis is perceived, followed and kept alive, an analysis of (de)legitimation discursive strategies employed strategically by various actors and voices in news articles is conducted in relation to four communicative themes: issue identification, warnings, blame attribution and potential solutions.

It has been found that a legitimacy deficit emerges communicatively through specific (de)legitimation strategies during this smoldering crisis. New insights into RAT (Frandsen and Johansen, 2017) are also provided.

This study is not only of theoretical relevance, but it is also of practical relevance for public relation professionals who aim to identify characteristics of starting smoldering crises as well as to find strategic responses to the ongoing challenges and the developing over time of smoldering crises.

New insights into RAT (Frandsen and Johansen, 2017) are provided.

The main purpose of this study is to examine the dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia. This study covered the annual data from 1970 to 2008.

The multivariate Johansen‐Juselius cointegration test is employed to examine the potential long‐run equilibrium relationship. While the Granger causality test within the vector error‐correction modelling (VECM) framework is applied to determine the causal relationship between crime rate and its determinants.

The Johansen‐Juselius cointegration test result reveals that the variables are cointegrated and the dynamic ordinary least squares estimator suggest that unemployment, inflation and tourist arrivals are positively related to crime rates in Malaysia. For Granger causality, in the long‐run tourist arrivals, inflation and unemployment rates Granger cause crime rate in Malaysia. However, in the short run we find bilateral causality between unemployment, crime and tourist arrivals. Finally, the variance decompositions and impulse response functions analyses implied that unemployment, inflation and tourist arrivals are important in explaining the variation in crime for Malaysia.

The estimated crime rate function for Malaysia demonstrated that promoting supply‐side economy and also increases the numbers of police and patrolling duties in the potential crime areas will reduce the crime rate in Malaysia and in the same time attract more tourist arrivals to Malaysia.

Design/Methodology/Approach: This chapter applies tests associated with the adaptive market hypothesis (AMH) and Johansen cointegration test. AMH acknowledges the views of the efficient market hypothesis and behavioural finance approach.

Purpose: Cryptocurrencies are considered a new asset class by multiasset portfolio managers. Hence, we examine the AMH and cointegration in the cryptocurrency market to know whether select cryptocurrencies can be diversified.

Findings: We find that cryptocurrencies are efficient and there is a long-run relationship among constituent series, and there is no short-run causality derived from bitcoin, Ethereum and litecoin to bitcoin, while stellar and Dogecoin have short-run causality to bitcoin.

Originality/Value: This chapter is different from the existing one as this is the first study in which the AMH and Johansen cointegration test are applied to check the efficiency and relationship of Bitcoin, Ethereum, and Monero, Stellar, litecoin and Dogecoin.

The purpose of this paper is to provide an extensive review of the monetary model of exchange rate determination which is the main theoretical framework on analyzing exchange rate behavior over the last 40 years. Furthermore, we test the flexible price monetarist variant and the sticky price Keynesian variant of the monetary model. We conduct our analysis employing a sample of 14 advanced economies using annual data spanning the period 1880–2012.

The theoretical background of the paper relies on the monetary model to the exchange rate determination. We provide a thorough econometric analysis using a battery of unit root and cointegration testing techniques. We test the price-flexible monetarist version and the sticky-price version of the model using annual data from 1880 to 2012 for a group of industrialized countries.

We provide strong evidence of the existence of a nonlinear relationship between exchange rates and fundamentals. Therefore, we model the time-varying nature of this relationship by allowing for Markov regime switches for the exchange rate regimes. Modeling exchange rates within this context can be motivated by the fact that the change in regime should be considered as a random event and not predictable. These results show that linearity is rejected in favor of an MS-VECM specification which forms statistically an adequate representation of the data. Two regimes are implied by the model; the one of the estimated regimes describes the monetary model whereas the other matches in most cases the constant coefficient model with wrong signs. Furthermore it is shown that depending on the nominal exchange rate regime in operation, the adjustment to the long run implied by the monetary model of the exchange rate determination came either from the exchange rate or from the monetary fundamentals. Moreover, based on a Regime Classification Measure, we showed that our chosen Markov-switching specification performed well in distinguishing between the two regimes for all cases. Finally, it is shown that fundamentals are not only significant within each regime but are also significant for the switches between the two regimes.

The results are of interest to practitioners and policy makers since understanding the evolution and determination of exchange rates is of crucial importance. Furthermore, our results are linked to forecasting performance of exchange rate models.

The present analysis extends previous analyses on exchange rate determination and it provides further support in favor of the monetary model as a long-run framework to understand the evolution of exchange rates.

This paper aims to seek to find answers to three questions. First, is there any possibility of long-term cointegration between East and Southeast Asian equity markets? If so, how many cointegrating equations are there? Second, what are the short-term causal relationships between equity markets in East and Southeast Asia? Third, what is the East Asia’s most influential equity market toward their Southeast counterparts, and vice versa?

This study uses Johansen's (1988) cointegration method to test long-run relationships among East and Southeast Asian equity markets. With regards to short-run causal relationships, this study uses Granger-causality test as well as the forecast variance decomposition method.

Johansen test proves that there is cointegration between East and Southeast Asian equity markets, but the integration process is not complete. Cointegrating vector also provides evidence that member countries of ASEAN+3 respond differently to external shocks. With regards to short-run causal direction, this study finds that Japan Granger-causes all equity markets in Southeast Asia, while Singapore and Vietnam Granger-cause all equity markets in East Asia. These results imply that Japan is the market with most linkages in Southeast Asia, while Singapore and Vietnam are the markets with most linkages to East Asia. Furthermore, forecast variance decomposition reveals that Japan is the East Asia’s most influential equity markets, while Singapore is the most influential equity market in Southeast Asia. This study suggests that policymakers in East and Southeast Asian countries to synchronize the capital market standards and regulations as well as to reduce the barriers for capital mobility to spur the regional equity market integration.

Increasing integration of East and Southeast Asian capital markets forces policymakers in ASEAN+3 countries to synchronize monetary policies, as it has been found that regionally integrated capital markets reduce the degree of independent monetary policy (Logue et al., 1976). It is therefore important for policymakers in East and Southeast Asian countries to assess the possibility of stock market integration within this region to anticipate the future risks associated with economic integration as well as to build collective regional institutions (Wang, 2004). Click and Plummer (2005) also argued that integrated stock markets is more efficient than nationally segmented equity markets, and the efficiency of Asian capital markets has been questioned in particular after the 1997 Asian financial crises. Yet, the empirical evidence on the extent of financial integration among ASEAN+3 member countries has been limited and inconclusive. This study is therefore an attempt to investigate the recent development of ASEAN+3 equity markets integration.

This study focuses its attention on the existence and the extent of financial integration in East and Southeast Asia region, and it provides evidence that equity market integration in ASEAN+3 is far from complete, and for that reason, there is a need for policymakers in ASEAN+3 member countries to synchronize their standards and regulations. Furthermore, the policymakers in East and Southeast Asia can gain benefit from this study, as it provides the evidence that ASEAN+3 member countries respond differently to policy shocks, which may hinder the development of regional financial integration as well as the policy effectiveness of region-wide authority in ASEAN+3.

This research is different from previous studies, as it puts the regional financial integration within the context of ASEAN+3 frameworks. Unlike previous research that considers East and Southeast Asian countries as an individual entity, this research considers East and Southeast Asia into two different blocks, following Tourk (2004) who documented that negotiation process for ASEAN+3 financial integration is conducted in sub-regional level (ASEAN vs East Asia), rather than national level (country per country basis). Second, this study covers the period after the 1997 Asian financial crisis. As suggested in Wang (2014), that the degree of stock market integration tends to change around the periods marked by financial crises, the updated study on Asian financial integration in the aftermath of 1997 financial crises is important to document the development of regional financial integration.