Abstract Reviewing and rating are important features of many social media websites, but they are found on many e-commerce sites too. The combination of social interaction and e-commerce is sometimes referred to as social commerce to indicate that people are supporting each other in the process of buying goods and services. Rgeviews of other consumers have a significant effect on consumer choice because they are usually considered authentic and more trustworthy than information presented by a vendor. The collaborative effort of consumers helps to make the right purchase decision (or prevent from a wrong one). The effect of reviews has often been researched in terms of helpfulness as indicated by their readers. Images are an important factor of helpfulness in reviews of experience goods where personal tastes and use play an important role. We extend this research to search goods where objective characteristics seem to prevail. In addition, we analyze potential interaction with other variables. The empirical study is performed with regression analyses on 3,483 search good reviews from Amazon.com followed by a matched pair analysis of 186 review pairs. We find that images have a significant positive effect on helpfulness of reviews of search goods too. This is especially true in case of short and ambiguous reviews.
Some businesses gained from the COVID-19 pandemic, but the overall effect on demand for IT work is negative due to the recession. We may recover from it, once we can handle the medical problems, but some changes will probably stay. One of them is the shift from regular to temporary work in IT because businesses seek more flexibility. This should be accompanied by regulation that prohibits the worsening of work conditions of IT workers.
Microtasks accomplished by humans are used in many corners of the Internet. They help to make decisions where it is not possible to rely on algorithms (yet) like insult detection or fake reviews. People conducting crowdwork, crowdworkers, are often recruited via platforms where employers have more power than crowdworkers. This is sometimes misused by offering poor work conditions, which can lead to poor work quality. Online feedback systems (OFS) can discipline employers to improve work conditions and subsequently work quality. Unfortunately, the majority of crowdworkers do not contribute to an OFS and remain silent. We develop and test a model based on self-determination theory with PLS-SEM to explain their silence. Perceived cost and perceived non-relevance are deterrents to contributions. However, satisfaction in helping others and the wish to belong to the community are significant motivational factors, which could be used in the design of an OFS to foster crowdworkers' contributions.
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)
