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In this study, the authors clarified the differences in consumers' benefit–risk perceptions based on changes (description order and amount) in the benefit–risk information after an assessment of the health impact of foods.

The authors set the following four benefit–risk information groups relating to fatty fish consumption—Group 1: benefit/simple–risk/detail; Group 2: risk/detail–benefit/simple; Group 3: benefit/detail–risk/detail; Group 4: risk/detail–benefit/detail. The authors conducted a randomized controlled study on June, 2022, involving 7,200 Japanese consumers aged over 18 years.

There were no significant differences in the risk and benefit perceptions. Furthermore, the logistic regression analysis identified women and benefit perception as significant influencing factors of “no-risk acceptance.”

This study found that all four message formats were acceptable to consumers due to high-benefit/low-risk perceptions. However, despite the difference in message types used in benefit–risk communication, there was no effect on risk acceptance among consumers. Public agencies should design their communication with considerations toward women and benefit perceptions.

Cryptocurrency, an important application of blockchain technology, has gradually circulated, and its use has become widespread. While cryptocurrency is growing rapidly, potential risks are simultaneously emerging. Users thus may abandon their usage behavior of cryptocurrency, hindering the future development of cryptocurrency. While prior studies focus more on the intention to use cryptocurrency in the pre-adoption phase, less studies pay attention to discontinuance usage intention in the post-adoption phase. To fill this knowledge gap, this stfudy aims to explore factors that cause discontinuance usage intention regarding cryptocurrency.

Based on the net valence framework theoretically grounded on the theory of reason action, a dilemmatic dual-factor model is proposed to figure out cryptocurrency users' discontinuance usage intention from the perceived risk and perceived benefit. This study identifies four potential risks and three potential benefits that affect perceived risk and benefit. The model with nine hypotheses were developed, and research data were collected by a survey method. A total of 343 valid responses were received, and PLS-SEM with SmartPLS was utilized to test the nine hypotheses, with seven hypotheses supported empirically.

Our findings demonstrate that financial, legal and operational risks are critical to increase users' perceived risk, and perceived usefulness and seamless transactions play important roles in enhancing users' perceived benefit. Moreover, while perceived risk can increase users' discontinuance usage intention to cryptocurrency, perceived benefit can mitigate such intention.

This study contributes nascent knowledge to the literature by examining factors that influence discontinuous usage intention in regard to cryptocurrencies, to firms that have issued or attempted to issue cryptocurrencies and to the potential users of cryptocurrencies by adjusting the mode of operation and investment strategies and reducing user costs, achieving a win-win situation for firms and users.

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.

This paper aimed to explain why individuals still tend to disclose their privacy information even when privacy risks are high and whether individuals disclose or withhold information following the same logic.

This study develops a configurational decision tree model (CDTM) for precisely understanding individuals' decision-making process of privacy disclosure. A survey of location-based social network service (LBSNS) users was conducted to collect data, and fuzzy-set qualitative comparative analysis (fsQCA) was adopted to validate the hypotheses.

This paper identified two configurations for high and low disclosure, respectively, and found that the benefits and the risks did not function independently but interdependently, and the justice would play a crucial role when both the benefits and the risks were high. Furthermore, the authors found that there were asymmetric mechanisms for high disclosure and low disclosure, and males focused more on perceived usefulness, while females concerned more about perceived enjoyment, privacy risks and perceived justice.

This paper further extends privacy calculus model (PCM) and deepens the understanding of the privacy calculus process from a configurational perspective. In addition, this study also provides guidance for future research on how to adopt the configurational approach with qualitative comparative analysis (QCA) to revise and improve relevant theories for information systems (IS) behavioral research.

The purpose of this paper is to develop a decision model to help decision makers with selection of the appropriate supplier.

Supplier selection is a multi‐criteria decision‐making process encompassing various tangible and intangible factors. Both risks and benefits of using a vendor in supply chain are identified for inclusion in the evaluation process. Since these factors can be objective and subjective, a hybrid approach that applies to both quantitative and qualitative factors is used in the development of the model. Taguchi loss functions are used to measure performance of each supplier candidate with respect to the risks and benefits. Analytical hierarchy process (AHP) is used to determine the relative importance of these factors to the decision maker. The weighted loss scores are then calculated for each supplier by using the relative importance as the weights. The composite weighted loss scores are used for ranking of the suppliers. The supplier with the smallest loss score is recommended for selection.

Inclusion of both risk and benefit categories in the evaluation process provides a comprehensive decision tool.

The proposed model provides guidelines for supply chain managers to make an informed decision regarding supplier selection.

Combining Taguchi loss function and AHP provides a novel approach for ranking of potential suppliers for outsourcing purposes.

The purpose of this paper is to identify the effects of benefits, barriers and risks on user satisfaction in ERP projects.

ERP systems are costly and complex systems. They require heavy investments. ERP systems provide a lot of benefits. However, there are some barriers that need to be solved during implementation if maximum of benefits is aimed. If barriers are not solved adequately, they become drivers of risks. Benefits, barriers and risks have important effects on user satisfaction. Post implementation reviews are important tools to gain insights about the effect of benefits, barriers and risks on user satisfaction. However, post implementation reviews of ERP projects are not commonly realized. First, a literature review on ERP benefits, barriers and risks is conducted. Second, benefits, barriers and risks are checked with their effects on user satisfaction in ERP projects. The research is conducted in a branch of a multinational firm. A questionnaire consisting of statements related with benefits, barriers, risks and user satisfaction is used. The questionnaire is given to 32 individuals; 25 of whom respond to the questionnaire.

The findings suggest that in this case study benefits are more effective on user satisfaction in ERP projects.

This research puts forward an example for a post implementation review. However, the results show that firms aiming to succeed in ERP projects should emphasize benefits.

This paper seeks to provide a tool for decision makers to make more informed decisions regarding their outsourcing decisions and selection of the appropriate supplier.

The method uses the Taguchi loss function for the inclusion of intangibles in the evaluation and selection of suppliers. Intangibles are defined as factors that have an impact on the selection of an appropriate supplier but are not easily quantified to be included in the financial evaluation. These intangibles are classified as the benefits and risks of using a supplier to perform the outsourcing function. A decision maker has certain expectations regarding these intangibles and a loss occurs when a supplier's performance does not meet the decision maker's expectations. The Taguchi loss function has been selected as a means of measuring the loss. The decision maker defines the target value and the specification limits for each benefit and risk category. The weighted loss scores are calculated where the weights are the importance ratings assigned to benefit/risk categories by the decision maker. Based on this analysis each supplier will receive a weighted loss score for all the pertinent benefit categories and one weighted loss score for all the risk categories. To achieve a single measure, the aforementioned weighted loss scores are combined to determine a single aggregate loss score for each supplier, which is then used to rank them. The supplier who receives the highest ranking (minimum loss score) will be selected to perform the outsourcing function.

The procedure proposed here can help companies to identify the best supplier to perform an outsourcing function.

The paper presents a phased decision model that begins with economic evaluation and then uses Taguchi functions to measure the impact of intangibles.

Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

Financial service providers are facing challenges in the acceptance of digital financial services. The study, therefore, intends to identify factors contributing towards the adoption of digital finance. It has worked on the influencers and demotivators of digital finance adoption by individuals. These influencers are labelled as perceived benefits and demotivators as perceived risks. In addition to perceived benefit and risk, the study has also included the difference in perception on the basis of generation cohort.

The data have been collected through a structured questionnaire from 411 respondents. Partial least squares structured equation modelling (PLS-SEM) has been used to analyse the proposed model on SmartPLS.

The findings suggested that the benefits were more influential in adoption behaviour than perceived risk. In addition to perceived benefit and risk, the study has also included the difference in perception on the basis of generation cohort. The results summarised that benefits had a more significant impact in Generation Z (Gen Z) than in Millennials.

The evaluation and categorisation of perceived risk and benefits into meaningful dimensions generate value to the adoption behaviour of digital finance. Thus, the findings are useful for the policymakers and researchers to contemplate the perception of individuals in digital finance based on the generation cohort.

The empirical findings of the present research contribute to limited evidence of a relationship between perceived risk, perceived benefit and digital finance adoption on the basis of generation cohort.

The purpose of this paper is to better understand why people are willing or hesitant to use Financial technology (Fintech) as well as to determine whether the effect of perceived benefits and risks of continuance intention differs depending on user types.

Original data were collected via a survey of 243 participants with Fintech usage experience. The partial least squares method was used to test the proposed model.

The results reveal that legal risk had the most negative effect on the Fintech continuance intention, while convenience had the strongest positive effect. Differences in specific benefit and risk impacts are found between early and late adopters.

This empirical study contributes to the novel understanding of the benefit and risk factors affecting the Fintech continuance intention.