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Managing supply risk is gaining in importance in the tightly interconnected global economy. Identifying the relevant risks is the foundation of any risk management process. Therefore, the purpose of this paper first is to provide a short introduction to supply risk management, before focussing on the identification of such risks in more detail. A holistic framework of the identified supply risks, which distinguishes between risk dimensions and risk factors in manufacturing upstream supply networks, is proposed.

This study applies a mixed methods research approach. Data are collected based on a structured literature review in combination with the analysis of company-specific documents and semi-structured expert interviews. Subsequently, a deductive content analysis is carried out to derive a holistic framework of supply risks, adapted to the manufacturing industry. For the external validation of the conceptual supply risk framework, additional experts from several manufacturing companies were consulted.

Based on the definition and delimitation of supply risk, a categorization of supply risks is developed. The relevant literature, as well as expert interviews, lead to the distinction of six supply risk dimensions: quality, delivery, collaboration, economic, ambience and compliance. A total of 27 risk factors can be assigned to these dimensions. A holistic foundation for the management of supply risk is thus created.

This study provides a holistic framework of relevant supply risks in the context of the manufacturing industry. This overview of identified risks offers a novel perspective on risk in manufacturing supply networks that can be helpful in researching assessment and mitigation strategies. Despite the high relevance and popularity of this field of research, such an overview with a focus on manufacturing had not yet been made available in the literature. Building thereon, management approaches can now be developed to handle the risk arising from the upstream of the supply network.

The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans to implement digitalization in order to improve their construction management processes.

In this research article, risk factors and dimensions are taken from diverse industries and validated in the construction domain by industry and academic experts. Further, multi-criteria decision-making techniques are employed to assess the Indian construction sector scenario quantitatively. The interrelationship and weightage of risk factors and dimensions are determined by the Fuzzy Decision-making Trial and Evaluation Laboratory Analytic Network Process (DANP) method. However, the method Grey Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking of each risk factor.

This study finds 14 critical risk factors along with four risk dimensions. Operational and financial dimensions are significant risk dimensions. Whereas the threat of high outlay and low yield is a significant risk factor in construction. Besides that, the interrelationship among risk factors, the weightage of each factor and the ranking of critical risk factors are also identified.

This research article uses Fuzzy DANP and Grey TOPSIS techniques as exploratory research methods with a limited group of construction professionals from a leading Indian construction firm. Furthermore, comprehensive confirmatory research can also be performed with a large group of construction experts using advanced analytical techniques to validate the ranking of critical risk factors.

The findings of this study provide insight into the knowledge of construction firms by emphasizing significant risk factors related to digitalization in construction operations. Another finding of this study shows that the risks associated with digitalization in construction are similar to those in manufacturing, where high outlay and low yield hold a significant role in the transformation process.

The research is unique since there have only been limited studies in the Indian construction scenario to analyze the significant risks associated with digitalization. Furthermore, this study demonstrates that the combination of Fuzzy DANP and Grey TOPSIS techniques may be used successfully to prioritize risks in construction digitalization, which is still in its early phases.

Risk management in defence aircraft industry has considerable interest among academics and practitioners. The purpose of this paper is to develop interactions among risk factors dimensions (RFDs) and inspect the importance relationship among the performance measures in Indian aircraft industry and, finally, understand the effect of involvements provided by the managerial team on risk reduction process.

An extensive literature review was carried out to identify 26 risk parameters and 13 performance measure indices relevant for an aircraft industry. Survey method was used to obtain the importance of these parameters and measures. Further, these factors are grouped into five risk dimensions based on the brain storming session by the project managers. Initially, Risk factors for defense aircraft industry (RFDs) analyzed by Interpretative structural model (ISM) to know the contextual relationship among the RFDs and then applied Interpretive ranking process (IRP) to inspect the pre-eminence relationship among them. Finally, SD is applied to understand the effect of involvements provided by the managerial team on risk reduction process.

Government policy and legal RFDs has emerged as the key driving RFDs. In IRP modelling, technology RFD has emerged as more influential RFD which is the more relevant factor with respect to performance measure indices and this result is supported by detailed sensitivity analysis of system dynamic model.

The outcomes of this research can help project management team to identify the high severity risk factors which need immediate risk reduction/mitigation action.

The purpose of this paper is to develop a health harm of work scale from the sustainable HRM perspective.

A three-dimensional model was proposed for the health harm of work scale and validated (Total n=527) using a five-part study (item generation, item reduction, convergent, construct and discriminant validity).

Exploratory and confirmatory factor analyses supported that the three dimensions (restrictions for positive health, the risk factors for psychological health and the side effect harm of work) simultaneously tap into different aspects of the health harm of work construct. The results from the construct validity revealed that health harm of work as a phenomenon has manifested itself in different facets of health harm of work intensification. Finally, the discriminant validity study revealed that the overlap between the dimensions of the health harm of work scale and the dimensions of recovery experience from the work questionnaire is low and it provides support for the discriminant validity of dimensions between these two scales.

The proposed measure can be used as potential leading indicators for negative occupational health to prevent or delay the onset of work-related illness manifestation or health consequences (sick leave, absenteeism, presenteeism, etc.).

This is the first study to validate a measure of health harm of work and to provide tangible evidence of health harm of work which will subsequently trigger organizations to introduce a planned intervention to improve occupational well-being to promote sustainable HRM.

The purpose of this paper is to employ an integrated approach of interpretive ranking process (IRP) and system dynamics (SD) for modelling the key risk factors for a typical construction project.

The risk parameters and performance measures applicable in the construction industry have been identified through extensive literature review and discussions with experts from the construction industry. Based on the literature review, a questionnaire was designed and 64 responses were considered. The list of 20 risk parameters and 32 performance measures relevant for a construction industry is reduced to five risk factors and five performance measure factors using factor analysis. IRP modelling is employed to examine the contextual relationships among risk factors and to rank them with respect to performance measure factors. Subsequently, the results of IRP model were utilised as inputs to SD analysis. The SD analysis is conducted for two models, namely, risk factor model and risk variable model to understand the impact of interventions offered by project management team on risk reduction and mitigation.

The developed IRP model shows that the risk factor dimension “construction management” has a high likeliness to occur during the construction phase.

The research demonstrates an application of proposed approach for a typical construction environment and hence the results cannot be generalised.

This research addresses real life complexities in construction project by modelling critical risk factors using an integrate approach of IRP and SD. The proposed approach would facilitate project managers to devise appropriate risk mitigation strategies for a construction project.

The study intends to shed lights on whether the risk factors disclosed in the initial public offering (IPO) prospectus in Malaysia are able to reflect the actual risks of stocks once they are traded on the exchange. In other words, the purpose of this paper is to explore whether prospective investors will be able to benefit, in terms of the more accurate risk information, from the risk disclosures in the IPO-prospectus.

Using data obtained from 118 IPO prospectuses of Malaysian companies that issued shares on Bursa Malaysia in the period from 2009 to 2016, the authors investigated whether the “risk factor” section in the IPO prospectuses provides sufficient risk-relevant information to investors. To determine whether companies disclose risk-relevant information, a detailed content analysis of the risk sections was carried out to obtain an aggregate measure of risk disclosure.

The findings revealed that the aggregate measures of risk extracted from these texts did not successfully predict the following outcomes: the volatility of companies’ future stock prices, the sensitivity of future stock prices to market-wide fluctuations and the severe declines in future stock prices.

As indicated by the findings, the authors, therefore, deduce that the IPO prospectuses of Malaysian companies do not provide sufficient risk-relevant information in the risk factor section. The findings imply that overall the management of Malaysian companies would neither be able nor willing to disclose the right and relevant information to the public via IPO prospectus.

Many corporate risk disclosure studies focus primarily on the disclosures of annual reports of companies. The study intends to fill the gap by focusing on the risk disclosure in the IPO-prospectus. Risk disclosures in IPO-prospectus are farmore extensive than annual reports and, therefore, provide a richness of information that will not be available in the annual reports.

In this paper the competitive landscape of financial institutions is shifting and internet banking is no longer a competitive advantage but a competitive necessity for banks. However, a limited number of empirical studies have been published in the marketing literature about electronic banking. This paper seeks to examine consumers' choices between electronic banking and non‐electronic banking in New Zealand.

The paper shows that the data for this analysis were obtained through a mail survey sent to 1,960 households in New Zealand. The decision to use electronic banking is hypothesised to be a function of service quality dimensions, perceived risk factors, user input factors, price factors, service product characteristics, individual factors and demographic variables such as age, gender, marital status, income, etc. Logistic regression is used to analyse the data. The discrete dependent variable measures whether an individual is an electronic banking or non‐electronic banking user.

The findings in the paper show that the output from the logistic regression indicates that the service quality, perceived risk factors, user input factors, employment, and education are the dominant variables that influence consumers' choice of electronic banking and non‐electronic banking channels.

This paper provides an improved understanding of consumers' choice between electronic and non‐electronic banking. This paper also identifies new relationships, and provides findings that further support, confirm, or contradict previous studies. In addition, it provides insights into the links between electronic banking and consumer decision making, to help provide strategies, recommendations and guidelines for the banking industry.

The paper shows how banks are developing, and utilizing new alternative distribution channels to reach their customers.

This study aims to propose an approach to assess the security of supply (SS) in a coal-fired electricity generation supply chain subject to public price regulation in Brazil. This study characterizes the Brazilian scenario of coal-fired electricity generation, which represents less than 3.5% of the energy sources.

Data from six mining companies that supply a coal plant were analyzed in a case study. The risks were characterized and objectively estimated through a synthetic multidimensional index. Structural changes in the earnings before interest, taxes, depreciation, amortization and exploration indicator time series of coal companies (CC) were statistically detected.

Empirical evidence demonstrates that the supply chain has a low disruption risk (SS index equal to 0.74). However, when suppliers are individually analyzed, 48.64% of all coal shows moderated disruption risk, and 2.51% is under high risk. In addition, this study finds a drop in the financial results of CC related to public regulation of coal prices. This impacts the security of coal supply.

This study discusses the influence of legal and regulatory policy risks in a coal power generation supply chain and the implications of the SS index as a management tool.

A novel SS index is presented and empirically operationalized, and its dimensions – environmental, occupational, operational, economic-financial and supply capacity – are analyzed.

In current times, organizations operating in emerging economies are providing digital services to its citizen the internet. Literature indicates that digital services are facing major challenges with respect to its adoption among users groups due to the perceived risks.

With the use of generalized analytic network process (GANP), prioritization of different dimensions of risk has been done on the basis of an empirical survey among user groups in India.

The result indicates that dimensions like privacy risk, performance risk and financial risk are more important risks across digital services models. However, physical risk, social risk, psychological risk and time risk are comparatively less important risks across digital services. This research also finds out that the end users are reluctant to provide their personal information.

The sample size is relatively small which limits generalizability of results beyond India. However, an application of GANP has been showcased for empirical research.

The research outcome can help managers in deciding which dimensions of risk are more important for digital service delivery and thus facilitate adoption.

This paper focused on the different facets of risk perceived by consumers, toward the digital services available in smart cities. Perceived risk dimensions such as privacy risk, performance risk, financial risk, physical risk, social risk, psychological risk and time risk have shown that there is a need to prioritize these risks to the digital services which is offered to the residents of the smart cities.