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Online dating services have been growing rapidly in recent years. However, adopting these services may involve high risk and trust issues among potential users toward both online dating services and the daters they introduce to users. The purpose of this paper is to investigate how perceived benefits vs risks, and trust vs distrust affect user adoption vs non-adoption intentions toward using this rather controversial information and communications technology in the context of online dating.

Structural equation modeling was used to evaluate the research model using data from a survey of 451 single individuals.

The results indicated that perceived benefits play more essential roles in adoption, while perceived risks affect non-adoption more. Individuals' trust in online dating service predicts a major portion of the variation in user benefit perceptions, while distrust in online dating service and in daters that users might select significantly influence perceived risks. Moreover, benefit and risk perceptions can mediate the impacts of trust and distrust on both adoption and non-adoption decisions.

This study extends theories of decision-making in the use of controversial information technologies such as in the case of online dating. It investigates the coexistence of various trust and distrust beliefs as well as benefit and risk perceptions, and their different impacts on adoption and non-adoption in online dating services.

This paper aims to address the relationship between fear of identity theft/fraud and online shopping, while identifying the most important factors affecting online shopping.

This study uses a mixed method approach in which the quantitative analysis identifies patterns in the data, whereas the qualitative analysis offers in-depth interpretation.

More fear actually predicts more online shopping but shoppers’ trust in the website’s willingness to redress financial harm and risk-benefit analysis are the real factors in online shopping.

The sample consists of Amazon users mostly so the findings may not apply to those who never shop on Amazon or never shop online at all.

To encourage online shopping, online shopping websites should focus on maximizing the benefit and minimizing the risk, but without addressing the risk by reassuring shoppers of their financial security, emphasizing the benefit alone is ineffective.

This is the first study addressing online shopping in terms of fear of victimization. It is also the first study that addresses risk and benefit in relative terms as in risk-benefit analysis measured by both quantitative and qualitative methods.

This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.

Electricity networks in Europe have been experiencing drastic changes driven by deregulation. The old monopoly businesses do not always find it easy to make the required improvements, and some are outsourcing the functions to private service providers. Outsourcing is a fairly new phenomenon in electricity distribution, however, and there are few studies on the subject. The purpose of this paper is to narrow the gap in assessing the affecting factors and the impact in a case involving outsourcing the underground cabling functions of a publicly‐owned network company to a private service provider.

The study is based mainly on qualitative interviews and an expert group session set up to analyse the acquired data. The affecting factors and the outsourcing impact levels were determined in the group discussion, and analysed in accordance with the risk/benefit framework developed, taking account of both the short‐ and long‐term aspects.

Outsourcing in the electricity network industry should be assessed holistically from the perspectives of the outsourcing company and the service provider. The results of outsourcing depend on the function in question, and there are wide differences in how it affects different elements of the organisations involved. A risk/benefit framework provides significant insights into the impacts and increase understanding about the causalities of the phenomenon and the goals of the partners.

The paper provides new knowledge with regard to electricity distribution by illustrating the affecting factors and the impacts of outsourcing. The presented framework gives a holistic picture of the impacts in an analysis of both parties' viewpoints and the short and long time scales in the relationship.

The purpose of this paper is to provide a systematic classification for frameworks, methods, and models of in-project quantitative risk analysis (IQRA) for the last 30 years.

An extensive literature review is conducted to identify pertinent IQRA works. Identified IQRA frameworks/methods/models are then classified on the basis of commonalities in key attributes and assumptions. Linkages between each category of IQRAs and dimensions of complexity are also observed.

Around 70 key publications on IQRAs are identified. Major attributes for each work are described. Five distinct categories of IQRAs emerge with unique linkages to complexity dimensions. An analytical framework in the form of a matrix is presented to illuminate evolution on modeling characteristics and to indicate a relationship between respective category and dimensions of project complexity.

The research coverage is intended to be comprehensive but it is by no means exhaustive. This study highlights research opportunities in IQRAs and the possible extension toward in-project quantitative complexity analysis (IQCA).

The proposed matrix provides guidance to practitioners to select the appropriate category of IQRAs for a specific project complexity type in a contingency fashion. The study highlights lessons from development and utilization of IQRAs. Outstanding issues from IQRAs are discussed to avoid similar drawbacks for IQCAs.

This study provides an original framework/matrix to classify extant works in IQRAs. It also establishes an association between IQRAs and the emerging conceptual works of complexity.

External stakeholder risks (ESRs) caused by unfavorable behaviors hinder the success of project portfolios (PPs). However, due to complex project dependency and numerous risk causality in PPs, assessing ESRs is difficult. This research aims to solve this problem by developing an ESR-PP two-layer fuzzy Bayesian network (FBN) model.

A two-layer FBN model for evaluating ESRs with risk causality and project dependency is proposed. The directed acyclic graph (DAG) of an ESR-PP network is first constructed, and the conditional probability tables (CPTs) of the two-layer network are further presented. Next, based on the fuzzy Bayesian network, key variables and the impact of ESRs are assessed and analyzed by using GeNIe2.3. Finally, a numerical example is used to demonstrate and verify the application of the proposed model.

The proposed model is a useable and effective approach for ESR assessment while considering risk causality and project dependency in PPs. The impact of ESRs on PP can be calculated to determine whether to control risk, and the most critical and heavily contributing risks and project(s) in the developed model are identified based on this.

This study extends prior research on PP risk in terms of stakeholders. ESRs that have received limited attention in the past are explored from an interaction perspective in the PP domain. A new two-layer FBN model considering risk causality and project dependency is proposed, which can synthesize different dependencies between projects.

This article provides a brief review of current literature on ERP and its implementation in industries. To fully understand the ERP software key points, risks, benefits, critical success factors, implementation issues, and the fundamental on that are identified and reviewed. Some applications of ERP in public places, government offices, and industries are briefly discussed and four related cases are reviewed.

Provides a background on enterprise resource planning implementation, key elements of ERP, and review four important cases from the literature in that regard. To better introduce ERP software to new users the risks and benefits of that are discussed in item lists and each are described briefly.

Pointed to key benefits and risks of enterprise resource systems software and studies four cases from the literature related to the ERP implementation.

Due to the fact that a better management of a system is related to the full understanding of the technologies implemented and the system under consideration, sufficient background on the enterprise resource planning is provided. The lack of research papers and conceptual papers related to risk‐benefit analysis of ERP systems is a motivation for conducting this research.

Systems thinking is holistic, that is it deals with wholes rather than parts and is relevant to tackling ill‐structured “messy” problems. Reviews the literature on risk to identify the techniques and concepts used in the management of risk and the identification of potential failures. The majority of the concepts identified are found to be systematic and reductionist. Also identifies related concepts not used in the techniques which are found to be more holistic. Classifies the concepts according to their use and holistic qualities. Briefly describes a systems approach to failures. As risk is associated with uncertainty and ill‐structured problems, suggests that systems thinking could be a valuable aid to risk management.

The purpose of this paper is to present a generic framework to assess and simulate outsourcing risks in the supply chain.

This combination approach involves a qualitative risk analysis methodology termed as the supply chain risk‐failure mode and effect analysis (SCR‐FMEA) which integrates risk identification, analysis and mitigation actions together to evaluate supply chain outsourcing risk. The qualitative risk assessment will allow risk manager to provide a visual presentation of imminent risks using the risk map. Monte Carlo simulation (MCS) on the imminent risks of delivery outsourcing using the Milk‐Run system is adopted.

With basic statistical concepts, key performance variables and the risk of delivery outsourcing are analyzed. It is found that a newly implemented delivery outsourcing arrangement on the Milk‐Run system reduces the average customer lead‐time and total cost. However, a certain extent of risk or uncertainty can still be detected due to the presence of variation.

This paper reveals that company can manage the risk by adopting a systematic method for identifying the potential risks before outsourcing and MCS can be applied for examining the quantifiable risks such as lead time and cost.

The paper provides a generic guideline for practitioners to assess logistics outsourcing, especially for logistics management consultants and professionals for evaluating the risk and impact of outsourcing. It is believed that the proposed risk assessment framework can help to analyze the operational cost uncertainty and ensure the stability of the supply chain. However, the limitation of this research is that the full spectrum of outsourcing risk, especially the non‐quantifiable risk may not be analyzed by MCS.

This paper proposed an integrated framework which combines qualitative and quantitative method together for managing outsourcing risk. This research provides a standardized metric to quantify risk in the supply chain so as to determine the effectiveness of outsourcing.

Accounting’s definition of accountability should include attributes of socioenvironmental degradation manufactured by unsustainable technologies. Beck argues that emergent accounts should reflect the following primary characteristics of technological degradation: complexity, uncertainty, and diffused responsibility. Financial stewardship accounts and probabilistic assessments of risk, which are traditionally employed to allay the public’s fear of uncontrollable technological hazards, cannot reflect these characteristics because they are constructed to perpetuate the status quo by fabricating certainty and security. The process through which safety thresholds are constructed and contested represents the ultimate form of socialized accountability because these thresholds shape how much risk people consent to be exposed to. Beck’s socialized total accountability is suggested as a way forward: It has two dimensions, extended spatiotemporal responsibility and the psychology of decision-making. These dimensions are teased out from the following constructs of Beck’s Risk Society thesis: manufactured risks and hazards, organized irresponsibility, politics of risk, radical individualization and social learning. These dimensions are then used to critically evaluate the capacity of full cost accounting (FCA), and two emergent socialized risk accounts, to integrate the multiple attributes of sustainability. This critique should inform the journey of constructing more representative accounts of technological degradation.