Trust and Adaptive Rationality

Rompf, Stephan Alexander

doi:10.1007/978-3-658-07327-5_4

Cited by 4 publications

(4 citation statements)

References 309 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, Knickmeyer (2020) argues that economic factors affect recycling behaviour. Referencing the rational choice theory, Rompf (2014) suggests that actors will engage in recycling and waste separating only if the expected utility of recycling minus the cost associated with it exceeded that of orthodox waste disposal. Yau (2010) also studied RL and concluded that rational individuals will not sort waste (or participate in RL process) for little or no economic gains.…”

Section: The Reverse Logistics Resources Matrixmentioning

confidence: 99%

The reverse logistics resource matrix: a novel classification scheme

Aryee

Adaku

2023

JMTM

View full text Add to dashboard Cite

PurposeThis study presents a resource framework for reverse logistics operations based on widespread literature and industry experience. A common and comprehensive definition of resources that affect the implementation of reverse logistics is still patchy in the extant literature. Hence, a complete scheme, such as this, for the categorisation of resources that affect the implementation of reverse logistics is essential. This provides a useful information for business managers and extends reverse logistics research.Design/methodology/approachThis study systematically identified, and validated with the help of reverse logistics experts, the resources that affect the implementation of reverse logistics.FindingsThe result is a classification scheme, termed as “reverse logistics resource matrix” (RLRM). This matrix offers a holistic overview of the resources that affect the implementation of reverse logistics for both scholars and practitioners.Originality/valueTo best of the researchers' knowledge, the RLRM is the first attempt to comprehensively structure the resources that affect the implementation of reverse logistics in an integrated framework.

show abstract

Section: The Reverse Logistics Resources Matrixmentioning

confidence: 99%

The reverse logistics resource matrix: a novel classification scheme

Aryee

Adaku

2023

JMTM

View full text Add to dashboard Cite

show abstract

“…The studies above point to a relationship between trust and the adoption of scientific consensus, but there is also some evidence of relationships between trust and cognitive processing. Studies examining proximal trust, people's trust concerning specific sources point to a relationship between trust and the inclination to engage cognitively deeply with the information or problem at hand (Hendriks & Jucks, 2020;Rompf, 2015aRompf, , 2015b. It is unclear whether a similar relationship exists for distal trust.…”

Section: Trust In Science and Its Relationship To Functional Scientif...mentioning

confidence: 99%

What drives the public's use of data? The mediating role of trust in science and data literacy in functional scientific reasoning concerning COVID‐19

Tabak

Dubovi

2023

Science Education

View full text Add to dashboard Cite

Is public engagement with science deliberative and evidence‐based? The public is often perceived as underprepared to use data and susceptible to partisan and emotional manipulation. Consequently, educational efforts focus on the ability to identify reliable information. We posit that effective engagement with science goes beyond this and hinges on data literacy. We leveraged the unique circumstances of COVID‐19, where diverse people inundated with pandemic‐related data representations in the media needed to make consequential decisions, to examine whether people use data and what factors affect such use. In a survey of a representative Israeli adult sample, participants reported their information habits and beliefs before and during COVID‐19. On being presented with graphs and datasets, they answered data literacy and COVID‐19‐related functional reasoning assessments (e.g., would you travel abroad?). Data literacy distinguished those who incorporated data from those who did not. Yet, participants incorporated moral, social, and economic considerations at all data literacy levels, suggesting that people may be deliberative even when they do not attend to quantified data. Moreover, participants' trust in science and data interpretation competence were key factors mediating the relationship between self‐efficacy in data interpretation skills and the incorporation of data in reasoning. The findings extend beyond COVID‐19 to a broader understanding of the factors influencing public engagement with quantitative representations. Rather than focusing solely on remediating data interpretation, we suggest that educative efforts work on multiple fronts and that cultivating trust in science is key to a broader, more deliberative engagement with science.

show abstract

“…More generally, scholars agree that trust involves two main characteristics: the positive attitude and expectations of the trust giver [ 16 ] and the willingness to be vulnerable and accept risks [ 17 ]. Trust has also a function of saving cognitive resources, since the creation of beliefs and expectations about others reduces the complexity of the social environment which otherwise require an active search and process for information [ 15 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Robot’s Inner Speech Effects on Human Trust and Anthropomorphism

Pipitone

Geraci

D’Amico

et al. 2023

Int J of Soc Robotics

View full text Add to dashboard Cite

Inner Speech is an essential but also elusive human psychological process that refers to an everyday covert internal conversation with oneself. We argued that programming a robot with an overt self-talk system that simulates human inner speech could enhance both human trust and users’ perception of robot’s anthropomorphism, animacy, likeability, intelligence and safety. For this reason, we planned a pre-test/post-test control group design. Participants were divided in two different groups, one experimental group and one control group. Participants in the experimental group interacted with the robot Pepper equipped with an over inner speech system whereas participants in the control group interacted with the robot that produces only outer speech. Before and after the interaction, both groups of participants were requested to complete some questionnaires about inner speech and trust. Results showed differences between participants’ pretest and post-test assessment responses, suggesting that the robot’s inner speech influences in participants of experimental group the perceptions of animacy and intelligence in robot. Implications for these results are discussed.

show abstract

Trust and Adaptive Rationality

Cited by 4 publications

References 309 publications

The reverse logistics resource matrix: a novel classification scheme

The reverse logistics resource matrix: a novel classification scheme

What drives the public's use of data? The mediating role of trust in science and data literacy in functional scientific reasoning concerning COVID‐19

Robot’s Inner Speech Effects on Human Trust and Anthropomorphism

Contact Info

Product

Resources

About