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This paper aims to examine the relationship between environmental factors, risk perception and decision-making in risk management. Specifically, using attribution theory, the authors study the influence of macro-level logistical capabilities of a host country on a firm’s actual and perceived supply chain risk, and examine if this country-level factor and the firm level perception of risk affect a firm’s decision-making in risk management.

This study uses a combination of primary data from 932 manufacturing firms from 22 countries and secondary data from the logistics performance index (LPI), and empirically tests the conceptual framework using partial least squares structural equation modeling.

Key results reveal that a country’s logistical capabilities, measured using LPI, have a significant impact on managers’ risk perception. Firms located in countries with high LPI perceive lower risk in their supply chain both in the upstream and downstream, and therefore do not invest much in external integration, compared to firms in low LPI countries, and hence are exposed to high risk.

This is one of the first empirical studies linking a country’s logistical capabilities with supply chain risk perceptions, objective supply chain risk and supply chain risk management efforts of a firm using the International Manufacturing Strategy Survey database.

The purpose of this paper is to seek to develop psychometrically validated scale for logistical business continuity planning (LBCP) construct.

Using survey data from 106 firms in transportation and warehousing industry the psychometric properties of the proposed LBCP scale have been evaluated. The structure of the LBCP construct is also assessed. Three competing construct structures – Model A: hypothesized multidimensional second‐order factor model; Model B: first‐order multidimensional factor model; and Model C: first‐order unidimensional factor model – are proposed and then evaluated using structural equation modeling analyses.

The results indicate that the proposed scale has adequate psychometric properties. Furthermore, the results show that the hypothesized second‐order multidimensional model is the best‐fit and most parsimonious model.

The paper contributes to the knowledge on supply chain risk management by providing empirically validated measures for the LBCP construct. This scale provides a clear conceptualization of LBCP and should allow the authors to explore the nomological net around LBCP which is central to the survival of many organizations.

Despite the huge capital outlay in tertiary education building projects (TEBP), these projects undoubtedly failed in meeting the set objectives of cost, time and quality, among others. Therefore, rather than the impacts of risks on the overall project performance, which is common in the construction management literature, the purpose of this study is to assess the impacts of risk factors on the criteria for measuring the success of public TEBP.

The paper adopted a quantitative research method where the data collection was via a questionnaire survey. The researcher administered 452 questionnaires to the client representatives, consultants and contractors involved in building projects across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were retrieved and suitable for the analysis, translating to a 61.73% response rate. The reliability analysis of the research instrument showed 0.965 and 0.807, via Cronbach’s alpha test, indicating high reliability of the instrument used for data collection.

The study found different risk factors affecting the criteria for measuring the success of TEBP. For instance, the environmental risk factor significantly impacted completion to cost, while financial and political risk factors significantly impacted completion to time. In addition, while environmental, legal and management risks significantly impacted end-user satisfaction, safety performance was significantly impacted by logistic, legal, design, construction, political and management risks. Besides, the logistic, legal, design, construction, financial, political and management risk factors impacted profit. However, despite profit being one of the criteria for measuring the success of building projects, it recorded the highest risk impacts amounting to 41% variance.

The findings are limited to the public tertiary education building projects procured via competitive tendering; therefore, the results might differ when considering other procurement methods.

The practical implication is that rather than focusing on all risk factors, the project stakeholders could give adequate attention to the significant risk factors impacting each of the parameters for measuring the success of education building projects.

The study revealed specific risk factors impacting the criteria for measuring the success of TEBP, which extend beyond the use of the overall project performance approach.

Despite several research efforts tackling construction project risks globally, tertiary education building projects are not devoid of experiencing risks with cascading effects on projects. In the past decades, there has been increasing application of linear assessments of risks in construction risk management practices. However, this study aims to assess the influence of risk factors on the success of tertiary education building projects using a structural equation modelling approach. This study will further reinforce the risk factors that require attention because risk factors are not linear but interdependent.

A quantitative research method was undertaken in this study, where data collection was achieved via a structured questionnaire survey. In total, 452 questionnaires were administered to client representatives, consultants and contractors involved in executing tertiary education building projects across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were found usable for the analysis, implying a response rate of 61.73%. The Cronbach α test, average variances extracted and composite reliabilities values show high reliability and internal consistency of the instrument used for data gathering. Furthermore, the study adopted percentile, mean, correlation, regression analysis and structural equation modelling for analyzing the data collected upon which the study’s inferences were based.

The study found that three out of six criteria for measuring the success of tertiary education building projects were significantly affected by risk factors while using the structural equation modelling technique. With this non-linear method of assessment, completion to time was significantly impacted by environmental risk factors. In addition, safety performance was also significantly influenced by logistic, environmental and legal risk factors; furthermore, logistics, design and environmental risks significantly affected profit. However, completion to cost, standard/quality and end-user satisfaction was not significantly affected by the risk factors in tertiary education building projects.

The quantitative data used for the analysis are limited to the tertiary education building projects from selected five tertiary education institutions in Ondo State; therefore, the results do not indicate all tertiary institutions in Nigeria. In addition, the findings are based on building projects that were procured through a competitive tendering arrangement only and thus considered a limitation for this study.

Not all the risks significantly influence the tertiary education building projects. Therefore, risk factors with a significant effect on the success indicators of tertiary education building projects should be prioritized for a successful project. While risk factors have not affected the completion to cost per se, the study implies that the resultant effect of risks on other success indicators could have a cascading effect on these projects in terms of cost and time overruns. These results may assist during the project risk management while also addressing complexity and uncertainty to avoid chaos in a tertiary education building projects.

The study found significant construction risk factors impacting the success of tertiary education building projects using a non-linear methodology, an extension beyond the usual linear method of assessment of risk impacts on the project performance.

The purpose of this paper is to examine the key risk components (probability and consequence) and their respective thresholds affecting agri-food supply chain operations in Ghana. In addition, it seeks to understand the relationship between the major risk sources and to fathom the risk/disruption impact on agri-food supply chain performance in Ghana.

Cross-sectional survey data were collected using a structured questionnaire. The risks threshold associated with agri-food supply chain were categorized using the risk matrix scale and classification described in the Project Management Body of Knowledge (Project Management Institute, 2013). Next, the Pearson correlation was used to understand the relationship between the various risks and agri-food chain performance. Lastly, to investigate how firms’ supply chain operations have been affected by risks/disruptions, an ordinary least square regression model was employed to quantify the impact of some major risk sources on agri-food chain performance in Ghana.

The results in this paper show variations in risks’ probability, impact and threshold in agri-food supply chain. While risk sources such as periodic change in interest/exchange rate policies and volatility in customer demand are high-rated risks, uncertain land policies/tenure and poor quality control are low rated risks in the operations of the chain. The performance of the agri-food chain significantly but negatively correlates with all the major risks studied. Whereas demand, supply, weather, logistics/infrastructure and financial risk sources significantly undermined the chain’s performance, risks emerging from biological/environmental, management/operational, policy/regulations and political-related issues insignificantly affect the performance of agri-food supply chain in Ghana.

This research is an area biased. However, some insightful managerial implications can be drawn from this paper to manage agri-food chain operations in a similar unstable environment. The result implies that risks are inevitable in agri-food chain but they differ in terms of menace to the chain’s operation. Therefore, to manage agri-food supply chain risks effectively, managers should periodically identify, quantify and categorize risk sources before making risk response decisions. In addition, the results show that risks account for about half of the overall agri-food chain performance in Ghana. This infers that managers/practitioners could improve the performance of the agri-food chain if limited resources are allocated to plan and effectively respond to major risks sources (such as demand, supply, finance, weather and logistical/ infrastructural services-related risks) undermining the performance of the chain.

This research contributes to the agri-food chain risk literature and provides managers/practitioners with empirical evidence of risk thresholds and their corresponding major impact on agri-food chain’s performance. Since risks explained about half of agri-food chain performance in Ghana, this research would prompt decision makers to improve on their risk assessment and responds (e.g. by employing efficient demand, supply and weather forecasting systems, logistic/infrastructure services, hedge to finance, etc.) to improve the chain’s performance.

The purpose of this paper is to develop a new interdisciplinary methodology to estimate the life cycle cost (LCC) of complex business-to-business products in order to price different types of maintenance contracts and show the applicability of the method in a case study. LCC comprise of initial capital costs as well of operation costs including probabilistic costs (such as the costs of repairs and spare parts), which are directly linked to the maintenance characteristics of the product.

The paper proposes an integrated and practical methodology that applies different approaches from different disciplines. Therefore, exponential distributions for failure rates in subsystems, World Bank logistics factors for logistics costs of spare part handling, as well implied credit default probabilities for the counterpart risk in full service leasing contracts are applied. In order to validate the applicability of the proposed methodology to practical problems, the tool is applied in three case studies.

The results of the case studies show that this methodology can be applied to analyze LCC structures of engines operating in various regions with regard to different types of engine maintenance contracts. The results also highlight the interplay of technical as well as financial risks.

Because the literature in maintenance engineering so far either proposes general frameworks to calculate LCC or concentrates on specific aspects of LCC, the paper contributes to the literature in presenting a new interdisciplinary methodology to estimate the LCC.

This study mainly aimed to show that financial literacy is not always enough in explaining workers' individual pension plan ownership as financial literacy knowledge does not always result in financially literate decisions/actions, and in such cases perceived consumer risks can be used to explain the IPP ownership decision of workers.

The data were collected via a questionnaire adapted from earlier questionnaires using convenience and snowball sampling methods with Internet based applications such as Facebook, Twitter, Instagram and WhatsApp. T-tests, ANOVA and Chi-Square tests were conducted to find out if there is a relation/interaction between individual pension plan (IPP) ownership and financial literacy, and perceived consumer risks (N = 651).

It is found out that financial literacy level does not have a statistically significant relation with individual pension system (IPS) involvement of workers in Turkey, but perceived consumer risks show differences based on IPP ownership.

To the best of authors’ knowledge, this study contributes to the literature being the first paper to study the relationship between financial literacy and workers' IPP ownership decisions in Turkey and it also shows that perceived consumer risks can be used for explaining workers' IPS involvement in cases where financial literacy knowledge does not translate into financially literate decisions.

The non-performance of construction projects in meeting the set objectives has continued to draw researchers worldwide. Despite this, little attention is accorded to public tertiary education building projects in Nigeria. Therefore, on this background, this study aims to assess the perceptions of stakeholders on the level of occurrence of risk factors in the public tertiary education building projects (TEBP) to enhance the performance of these projects.

The study adopted a quantitative method of data collection via a questionnaire survey. In total, 452 questionnaires were administered to the respondents comprising client representatives, consultants (quantity surveyors, architects, services and structural engineers and builders) and the contractor. The respondents were involved in the conception and execution of TEBP across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were retrieved and found suitable for analysis, indicating a 61.73% response rate. The reliability analysis for the research instrument was 0.965 via the Cronbach α test, indicating the high reliability of the instrument used for the data collection. Moreover, the clusters of risk factors also had reliability values that ranged between 0.719 and 0.875.

The study found inflation, delayed payments in contracts, high competition bids, delay in work progress and occurrence of variations are the most frequently occurring risk factors in public TEBP. By contrast, difficulty to access the site, environmental factors and pollution were found to be low-weighted risks with the least likelihood of occurrence. The results of this study indicated the existence of significant differences in some of the risk factors in terms of the level of risk occurrence in TEBP. The risk factors were eventually clustered into eight major groups for TEBP. The post hoc comparisons using the least significant difference test also indicated differences between the contractors and consultants in the ranking of risks occurrence in TEBP, but no significant differences between clients/contractors and clients/consultants.

The findings in this study are limited to the public TEBP procured via competitive tendering; therefore, the results might not be applicable when other procurement methods are being considered. Besides, the study classified the project participants based on organizations and not on the different ownership status of the projects, such as federal or state government-owned TEBP. However, the literature shows that likelihood of risk occurrence could vary due to the degree of project ownership.

The information provided with respect to the most frequently occurring risk factors would enhance the performance of public TEBP.

This study contributes to the existing body of knowledge on the subject within a previously unexplored context where insights were provided on the most frequently occurring risk factors on the public TEBP.

In a globalised environment, market volatility makes risk management an essential component of the supply chain. Similar to conventional supply chains, a Halal supply chain (HSC) is also affected by several factors making it vulnerable to risks. Therefore, the purpose of this study is to identify and analyse the elements of Halal supply chain management (HSCM) and their significant risk dimensions.

In total, 72 risk elements of HSCM are identified through a review of contemporary scientific literature along with news items and official websites related to risk management of conventional supply chain management, HSC and sustainable supply chain. Further, 42 risk elements are finalised using fuzzy Delphi and then these risk elements are categorised into 7 dimensions. The interrelationships among the risk dimensions as well as risk elements are developed using fuzzy DEMATEL.

Results suggest that production, planning, logistic & outsourcing and information technology-related risk are prominent risk dimensions. The causal relationships among the significant risk dimensions and elements related to the HSCM may help managers and policy planners.

This study faces a challenge due to inadequate availability of the literature related to risk management in the area of HSCM. Further, this study has used inputs from experts, which can be biased.

To the best of the author's knowledge, it is the first comprehensive study towards investigating the interrelationships among the risks in the context of the HSCM.

Circular supply chains (CSC) are particularly important for the agri-food sector, which faces strict requirements generated by increased food consumption as a consequence of world population growth, changes in lifestyle, development of consumer society and increasing health awareness. Recent disruptive factors have placed the vulnerability of agri-food supply chains in the spotlight. Therefore, the purpose of this paper was to identify the most manageable groups of risks in order to ensure the smooth operation of agri-food circular supply chains.

Seven main risk groups were evaluated in relation to nine criteria. To solve this multi-criteria decision making (MCDM) problem, a novel MCDM model, which integrates the best-worst method (BWM) and the COmprehensive distance-Based RAnking (COBRA) method in a grey environment, was developed.

Three risks were singled out, namely, product features risks, logistics risks and managerial risks. The obtained risks are those whose management would create the most positive effects for the stakeholders and help them achieve their primary goals regarding the circularity of agri-food supply chains.

This study investigates the main characteristics of the CSC in the agri-food sector, identifies, simultaneously explores and ranks all main risk groups associated with them and expands the possibilities for solving these kinds of problems by developing a novel MCDM model. It also identifies the most significant risks, both for individual stakeholders and for all stakeholder groups together.