Peer review for journals: Evidence on quality control, fairness, and innovation

This paper reviews the published empirical evidence concerning journal peer review consisting of 68 papers, all but three published since 1975. Peer review improves quality, but its use to screen papers has met with limited success. Current procedures to assure quality and fairness seem to discourage scientific advancement, especially important innovations, because findings that conflict with current beliefs are often judged to have defects. Editors can use procedures to encourage the publication of papers with innovative findings such as invited papers, early-acceptance procedures, author nominations of reviewers, structured rating sheets, open peer review, results-blind review, and, in particular, electronic publication. Some journals are currently using these procedures. The basic principle behind the proposals is to change the decision from whether to publish a paper to how to publish it. The author, a professor of marketing at the Wharton School since 1968, was a founder editor of the Journal of Forecasting and the International Journal of Forecasting. This paper is based on a presentation at a workshop, “Advances in Peer Review Research”, American Association for the Advancement of Science Meeting, Baltimore, MD, February 9, 1996.     

Participants' perceptions of smartphone travel surveys

Smartphone travel surveys are becoming of central importance in collecting detailed, accurate data of people’s travel activities. As with their conventional survey counterparts, the quality of data collected through these surveys is adversely affected by participants’ non-response and resulting biases. However, little is known about the factors affecting people’s perceptions and intentions to continue participating in such surveys. Although literature has investigated the associations between individuals’ socio-demographic attributes and their likelihood of survey participation, the impact of their subjective perceptions and attitudes on their survey participation intentions and behaviour is underexplored. Hence, through a model of participants’ perceptions of smartphone travel survey applications (survey apps), this study aims to reveal such impacts and how they affect the participants’ intentions to continue participating in these surveys. In this study, a survey is designed and used to collect data in a smartphone travel survey before the participants are asked about their personal perceptions and attitudes. Partial least squares path modelling (PLS-PM) is applied to analyse the data, as it allows simultaneous estimation of the relationships between multiple latent constructs as well as the indicators of each construct. The results showed a significant, positive impact of the perceived “ease of use” and “usefulness” of the survey app as the technological medium of data collection on the participants’ “satisfaction” and “intention” to continue participating in the corresponding survey. The study also found that participants’ perceived “risk” associated with privacy concerns did not have any significant impact on their intention to continue participating in the survey.     

社会计量器理论的研究进展：社交接纳/拒绝与自尊的关系

社会计量器理论提出自尊是个体对社交接纳或拒绝的主观计量器,它监控和调节着人们的人际关系质量。目前,该领域的研究主要从两方面展开：一方面从社交反馈的角度探讨了社交接纳与人际评价对状态自尊的影响;另一方面从社交行为的角度探讨了特质自尊对社交意愿和社交决策的影响。未来的研究需要对影响自尊的社交情境进行具体区分,并就社交反馈、心理变化与社交行为的关系,任务特性的认知过程对自尊的影响进行综合探讨。     

The use of an escape contingency and a token economy to increase food acceptance

Escape (termination of a meal) and token-based differential reinforcement of alternative behavior were used as reinforcement to increase acceptance of food. Using a changing criterion design, the number of bites accepted and consumed was gradually increased to 15 bites per meal. These data suggest that, in some cases, escape may be a potent reinforcer for food acceptance.     

小学高年级儿童的学业成绩、亲社会行为与同伴接纳、拒斥的关系

本研究以小学高年级402名学生为研究对象,探讨了儿童的学业成绩、亲社会行为与同伴接纳、同伴拒斥之间的关系。结果发现:(1)不同学业成绩组儿童的亲社会行为存在显著差异,学习优秀儿童的亲社会行为水平最高,学习中等儿童居中,学习困难儿童的亲社会行为水平最低。(2)多元线性回归分析表明,儿童的亲社会行为能显著地正向预测其同伴接纳、负向预测其同伴拒斥;但学业成绩只能显著地正向预测同伴接纳,而对同伴拒斥无显著的预测作用。(3)亲社会行为对男、女生的同伴接纳的预测作用大于学业成绩的预测作用。     

Constructing who can be Japanese: A study of social markers of acceptance in Japan

Social markers of acceptance are socially constructed indicators of adaptation (e.g., language skills or adherence to social norms) that recipient nationals use in deciding whether to view an immigrant as a host community member. This study had two objectives: (a) to distill the markers considered important by Japanese undergraduates to accept immigrants in Japanese society and (b) to test the premises of integrated threat and social identity theories by ascertaining the effects on marker endorsement of perceived immigrant threat, contribution, relative social status, and intergroup permeability. Native‐born Japanese (the term “native‐born Japanese” is used throughout this article to refer to people born as Japanese citizens—differentiating them from immigrants who are Japanese citizens naturalized after birth) from 12 Japanese universities (N = 428) completed an online survey. Marker importance ratings were factor‐analyzed, and three latent dimensions were found representing sociolinguistic, ethnic, and socioeconomic markers. Multiple hierarchical regressions discerned the main effects of immigrants’ perceived threat and contribution on social markers as well as their interactions with intergroup permeability and immigrant relative status. The results underscored perceived threat’s consistent role in increasing marker importance and suggested divergent paths to acceptance: Immigrants perceived as “low‐status” were expected to conform to sociolinguistic and ethnic markers, whereas socioeconomic markers were stressed more for “high‐status” immigrants when perceived immigrant threat increased and intergroup boundaries were considered less permeable.     

Attitudes towards privately-owned and shared autonomous vehicles

Research on attitudes towards autonomous vehicles (AVs) shows variation across gender, age, and socio-economic factors. While previous research has emphasized specific features and qualities of AVs, little is known about how attitudinal factors shape AV acceptance across a range of AV “modes” from privately-owned AVs to AV taxis shared with strangers. With an online panel of 834 US-based participants, we examine attitudes towards AVs and sharing. An exploratory factor analysis establishes four attitudinal dimensions: technology acceptance, risk-taking, traffic regulation, and driving enjoyment. We estimate multinomial logistic regression models to examine the impact of these four factors on attitudes toward AVs, willingness to purchase AVs, willingness to use AVs as a taxi service, and willingness to share AV taxis with strangers. We find a complex relationship between psychological factors and AV attitudes. “Early adopters” of technology and those who support stricter traffic regulations are more likely to have a positive attitude about AVs, whereas those who avoid risky behavior were more likely to have a negative attitude instead of a neutral attitude. Similar patterns were found across models of purchasing, using, and sharing AVs. The results imply that people who support traffic regulations may perceive AVs as a safer transport mode than human-driven cars, while those who avoid risk-taking behavior may perceive AVs to be more dangerous. However, we find that a large fraction of the population is not yet ready to use an AV with no driver, and overall reluctance to share a ride in an AV taxi.     

Exploring expert perceptions about the cyber security and privacy of Connected and Autonomous Vehicles: A thematic analysis approach

Connected and Autonomous Vehicles (CAVs) constitute an automotive development carrying paradigm-shifting potential that may soon be embedded into a dynamically changing urban mobility landscape. The complex machine-led dynamics of CAVs make them more prone to data exploitation and vulnerable to cyber attacks than any of their predecessors increasing the risks of privacy breaches and cyber security violations for their users. This can adversely affect the public acceptability of CAVs, give them a bad reputation at this embryonic stage of their development, create barriers to their adoption and increased use, and complicate the business models of their future operations. Therefore, it is vital to identify and create an in-depth understanding of the cyber security and privacy issues associated with CAVs, and of the way these can be prioritised and addressed. This work employs 36 semi-structured elite interviews to explore the diverse dimensions of user acceptance through the lens of the well-informed CAV experts that already anticipate problems and look for their solutions. Our international interviewee sample represents academia, industry and policy-making so that all the key stakeholder voices are heard. Thematic analysis was used to identify and contextualise the factors that reflect and affect CAV acceptance in relation to the privacy and cyber security agendas. Six core themes emerged: awareness, user and vendor education, safety, responsibility, legislation, and trust. Each of these themes has diverse and distinctive dimensions and are discussed as sub-themes. We recommend that mitigating the cyber security and privacy risks embedded in CAVs require inter-institutional cooperation, awareness campaigns and trials for trust-building purposes, mandatory educational training for manufacturers and perhaps more importantly for end-users, balanced and fair responsibility-sharing, two-way dynamic communication channels and a clear consensus on what constitutes threats and solutions.