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Though many studies in the past dealt with the survival and growth of enterprises both in the local- and export-markets, less attention was given to the analysis of the duration of enterprises entry into the export-markets. The aim of this paper is, therefore, to analyze the duration of Ethiopian enterprises entry into the export-markets.

This paper used data collected from 848 enterprises through a cross-sectional survey method conducted by the World Bank in 2015. In order to estimate the average duration – the time that enterprises need to wait before entering into the export-markets and the associated factors – the authors used the mixture of non-parametric (Kaplan-Meier) and parametric (Weibull) models.

The non-parametric results show that enterprises are required to wait for an average of about eight years before entering into the export-markets after their establishment. In addition, foreign-owned enterprises were found to be faster in entering into the export-markets than their domestically owned counterparts. The parametric results revealed that enterprises’ product innovation, enterprises’ size and age, and custom and trade regulations are factors that curtail the durations of enterprises entry into the export-markets. On the other hand, enterprises’ operational costs, the size of enterprises’ locality, and enterprises’ location are factors that slow the durations of enterprises’ entry into the export-markets.

This study is the first to offer pioneering evidences on the duration (time in years) that Ethiopian enterprises need to wait before entering into the export-markets and the factors that affect the length of their waiting time.

This paper aims to examine selected similar Greek highway projects to create artificial neural network-based models to predict their actual construction duration based on data available at the bidding stage.

Relevant literature review is presented that highlights similar research approaches. Thirty-seven highway projects, constructed in Greece, with similar type of available data, were examined. Considering each project’s characteristics and the actual construction duration, correlation analysis is implemented, with the aid of SPSS. Correlation analysis identified the most significant project variables toward predicting actual duration. Furthermore, the WEKA application, through its attribute selection function, highlighted the most important subset of variables. The selected variables through correlation analysis and/or WEKA and appropriate combinations of these are used as input neurons for a neural network. Fast Artificial Neural Network (FANN) Tool is used to construct neural network models in an effort to predict projects’ actual duration.

Variables that significantly correlate with actual time at completion include initial cost, initial duration, length, lanes, technical projects, bridges, tunnels, geotechnical projects, embankment, landfill, land requirement (expropriation) and tender offer. Neural networks’ models succeeded in predicting actual completion time with significant accuracy. The optimum neural network model produced a mean squared error with a value of 6.96E-06 and was based on initial cost, initial duration, length, lanes, technical projects, tender offer, embankment, existence of bridges, geotechnical projects and landfills.

The sample size is limited to 37 projects. These are extensive highway projects with similar work packages, constructed in Greece.

The proposed models could early in the planning stage predict the actual project duration.

The originality of the current study focuses both on the methodology applied (combination of Correlation Analysis, WEKA, FannTool) and on the resulting models and their potential application for future projects.

Work crew productivity and the application of limited resources are necessary elements in construction duration delay analysis. This study thus proposes a method to analyze construction delays and resource reallocation based on work crew productivity and resource constraints. The study also presents an economic feasibility analysis that maximizes economic effect by reducing construction duration, the cost of resource reallocation, delay liquidated damages (DLDs) and incentives for reducing contractual duration.

The proposed method involved three steps. First, work crew characteristics such as productivity, unit price and workload helped analyze delay information, including delay duration, reducible duration and daily reduced cost. Next, a goal programming method assessed resource reallocation based on the priority (as determined by decision-makers) of each constraint condition, such as the available number of workers, cost, goal workload and statutory working hours. Lastly, the level of reallocation was analyzed based on the results of the economic feasibility analysis and decision-makers’ delay attitudes.

A case study was performed to test the proposed method's applicability. Its involved sensitivity analysis indicated proposing to decision-makers a scenario based on the prioritization of economic feasibility. The proposed method's applicability proved high for decision-makers, as they can determine whether to reduce construction duration per the proposed data.

The proposed method's main contribution is the reallocation of resources to reduce construction duration based on work crew productivity and the prioritization of limited resources. The proposed method can analyze the differences in productivity between the plan and actual progress, as well as calculate the necessary number of workers. Decision-makers can then reduce the appropriate level of contractual duration based on their own delay attitude, constraint condition prioritization and results from daily economic feasibility analyses.

This study aims to examine how various components of interpersonal trust (affective and cognitive) influence the duration of buyer-seller relationships in the emerging market (EM) context of a heterogeneous market structure dominated by small, fragmented sellers/suppliers.

The study proposes a hazard model for analyzing duration effects of interpersonal trust in the EM context. The model was validated using data on buying agents provided by 340 cocoa sellers/producers in Ghana, gathered from extensive field interviews.

Results of the survival analysis reveal a limited but significant positive duration effect of cognitive (ability) trust only. Further analysis of sellers’ duration intentions (intention to remain with a buyer) also reveals a positive impact of affective trust but no impact of cognitive (ability and integrity) trust. Cocoa bean sellers’ evaluation of buying firms’ purchasing agents suggests that buying firms underperform on emotional/affective components of interpersonal trust, and that private firms outperform state buying agents on ability trust as well.

While this study focused on the fragmented nature of sellers in the EM context, and the scope was limited to the sellers’ interpersonal trust perception of the buyer-seller, future research should examine both buyer and seller perceptions to obtain complete insight into the buyer-seller dyad in the EM context. In addition, the results of the duration effects identified in this study may not be generalizable to other EM export commodities, where channels have long been fully privatized. Ghana’s cocoa export marketing system was only recently privatized, and potentially has more sellers at the risk of adopting/switching relationships with their buyers than would be expected in more privatized expert commodity marketing systems.

Managers of export commodity buying firms in EMs can take advantage of the positive duration effects of cognitive trust by constantly improving the capabilities of their purchasing agents throughout the lifetime of their suppliers to sustain their relationship. However, sellers’ intention to switch can be mitigated by formalizing policies that encourage emotional bonds with sellers, especially small-scale producers in highly vulnerable bargaining positions. The aggregate output of small-scale producers could be of strategic importance in the future.

Managers need systematic empirical evidence of the nature of duration effects of interpersonal trust given anecdotal evidence suggesting that managers have a tendency to emphasize cognitive trust over affective/emotional trust. Further, the applicability of such evidence in the EM context is critical given unique conditions such as highly fragmented sellers dealing with relatively large corporations.

In line with the IFSB and BCBS methodology, the purpose of this study is to undertake a comparative analysis of dual banking systems for asset-liability management (ALM) practices with the duration gap, in Islamic Commercial Banks (ICBs) and Conventional Commercial Banks (CCBs). Based on the research objective, two research questions are developed: How do the duration gaps of ICBs compare with those of similar sized CCBs? Are there any country-specific and regional differences among ICBs in terms of managing their duration gaps?

The research methodology comprises two-stages: stage one uses a duration gap model to calculate the duration gaps of ICBs and CCBs; stage two applies parametric tests. In terms of the duration gap model, the study determines the duration gap with a four-step process. The study selected a sample of 100 banks (50 ICBs and 50 CCBs) from 13 countries for the period 2009-2015.

The paper provides empirical insights into the duration gap and ALM of ICBs and CCBs. The ICBs have more variations in their mean duration gap compared to the CCBs, and they have a tendency for a higher (more) mean duration gap (28.37 years) in comparison to the CCBs (11.79 years). The study found ICBs as having 2.41 times more duration gap compared to the CCBs, and they are exposed to increasing rate of return (ROR) risk due to their larger duration gaps and severe liquidity mismatches. There are significant regional differences in terms of the duration gap and asset-liability management.

Future studies also consider “Off-Balance Sheet” activities of the ICBs, with multi-term duration measures. A larger sample size of 100 ICBs with 10 years’ data after the GFC would be more beneficial to the industry. In addition, the impact of an increasing benchmark rate (e.g. 100, 200 and 300 bps) on the ICBs as per the IFSB 20 per cent threshold can also be established with the duration gap approach to identify the vulnerabilities of the ICBs.

The study makes profound contributions to the literature and suggests various policy recommendations for Islamic banks, regulators, and standard setters of the ICBs, for identifying and measuring the significance of the duration gaps; and management of the ROR risk under Pillar 2 of the BCBS and IFSB, for financial soundness and stability purposes.

To the best of the authors’ knowledge, this is a pioneer study in Islamic banking involving a sample of 100 banks (50 ICBs and 50 CCBs) from 13 countries. The results of the study provide original empirical evidence regarding the estimation of duration gap, and variations across jurisdictions in terms of vulnerability of ICBs and CCBs in dual banking systems.

The purpose of this paper is to enhance understanding low pay dynamics of Australian employees, with a focus on the determination of low pay duration.

The study draws on a representative longitudinal survey of Australian households to provide empirical findings from both descriptive analysis and econometric modelling.

The results show that workers who have entered low pay from higher pay also have a higher hazard rate of transitioning to higher pay; and those who have entered low pay from non-employment are more likely to return to non-employment. Union members, public sector jobs and working in medium to large size firms tend to increase the hazard rate of transitioning to higher pay, while immigrants from non-English speaking countries and workers with health problems have a lower hazard rate of moving into higher pay. There is some evidence that the longer a worker is on low pay, the less likely he or she is to transition to higher pay.

This study addresses an information gap regarding the determination of low pay duration. The findings help identify workers who are at high risk of staying on low pay or transitioning into non-employment and are therefore informative for developing targeted policy to help the low paid maintain employment and/or move up the earnings ladder. The results also suggest that policy intervention should take place at an early stage of a low pay spell.

The purpose of this study is to examine the differential impact of qualitative and quantitative informational signals within the merger and acquisition (M&A) press releases on deal completion and duration. A significant percentage of deals by emerging market acquirers get abandoned before completion, and those that are completed have a longer duration. The limited information about the operations of acquirers from emerging markets creates suspicion among the stakeholders involved in deal resolution, hindering the completion of deals. Thus, using the signal-feedback paradigm, authors investigate how informational signals in the M&A press release impact the deal resolution.

The study employs content analysis on M&A press releases announced by firms from five emerging economies: Brazil, Russia, India, China and South Africa. The technique is applied based on the exploration-exploitation framework developed by March (1991) to categorize the announced deal motives (qualitative information). Next, the authors identify the percentage of relevant quantitative information disclosed in the press release, following which results are obtained using logistic and ordinary least square regressions.

The study reports that deals with declared exploratory motives take longer to complete. Additionally, deals disclosing higher percentage of quantitative disclosure exhibit lower completion rate and increased deal duration.

This is the first study to provide evidence that familiarity bias impacts deal duration as relative to exploitation deals that are familiar to the stakeholders; exploratory deals take longer to conclude. Further, our analysis indicates that a greater percentage of quantitative disclosure may not always reduce information risk but rather be interpreted negatively in the form of the acquirer’s overconfidence in the deal’s potential.

This paper investigates whether the effect of unemployment benefits (UB) on unemployment duration is the same for individuals belonging to different wealth groups.

Using a sample of newly unemployed individuals from Italy in 2007, we perform estimations of semi‐parametric and parametric Cox hazard models and finds a significant interaction between benefits and wealth.

In particular, we show that the mitigating effect of benefits on liquidity constraints is less marked for individuals from richer households and therefore, for these individuals, benefits do not increase unemployment duration.

The results also show that liquidity constraints are important in determining unemployment duration and that wealth has an important role in the actual effect of UB.