In a recent official statement, Google highlighted the negative effects of fake reviews on review websites and specifically requested companies not to buy and users not to accept payments to provide fake reviews (Google, 2019). Also, governmental authorities started acting against organisations that show to have a high number of fake reviews on their apps (DigitalTrends, 2018; Gov UK, 2020; ACM, 2017). However, while the phenomenon of fake reviews is well-known in industries as online journalism and business and travel portals, it remains a difficult challenge in software engineering (Martens & Maalej, 2019). Fake reviews threaten the reputation of an organisation and lead to a disvalued source to determine the public opinion about brands. Negative fake reviews can lead to confusion for customers and a loss of sales. Positive fake reviews might also lead to wrong insights about real users’ needs and requirements. Although fake reviews have been studied for a while now, there are only a limited number of spam detection models available for companies to protect their corporate reputation. Especially in times with the coronavirus, organisations need to put extra focus on online presence and limit the amount of negative input that affects their competitive position which can even lead to business loss. Given state-of-the-art derived features that can be engineered from review texts, a spam detector based on supervised machine learning is derived in an experiment that performs quite well on the well-known Amazon Mechanical Turk dataset.
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Following the rationale of the current EU legal framework protecting personal data, children are entitled to the same privacy and data protection rights as adults. However, the child, because of his physical and mental immaturity, needs special safeguards and care, including appropriate legal protection. In the online environment, children are less likely to make any checks or judgments before entering personal information. Therefore, this paper presents an analysis of the extent to which EU regulation can ensure children’s online privacy and data protection.
In most shopping areas, there are place management partnerships (PMPs) that aim to increase the competitiveness of the area. Collective digital marketing activities, such as the adoption and update of collective websites and social media pages, provide opportunities in this regard. Currently, the extent to which digital marketing activities are being employed varies widely among PMPs. However, studies investigating the factors that influence the uptake of digital marketing activities are lacking. This study applies a resource-based view to fill this gap, using data from an online survey about collective digital marketing activities among 164 official representatives of PMPs in urban shopping areas in the Netherlands. Regression analyses were employed to examine the extent to which the resources of PMPs influence the adoption and update frequency of the two most often used digital marketing channels: websites and social media pages. The results revealed that while the adoption of collective digital marketing channels is strongly influenced by the physical resources that characterize the shopping area itself, the update frequency of these channels is influenced more by the organizational resources of PMPs. In addition, the strategic choice of PMPs to deploy human and financial resources for the benefit of collective digital marketing activities leads to increased use of these activities. This effect is reinforced by the fact that digital marketing skills gained through experience contribute to a higher update frequency of the adopted channels. As such, this study provides empirical evidence on the influence of PMPs shared resources upon their digital marketing activities.
-Chatbots are being used at an increasing rate, for instance, for simple Q&A conversations, flight reservations, online shopping and news aggregation. However, users expect to be served as effective and reliable as they were with human-based systems and are unforgiving once the system fails to understand them, engage them or show them human empathy. This problem is more prominent when the technology is used in domains such as health care, where empathy and the ability to give emotional support are most essential during interaction with the person. Empathy, however, is a unique human skill, and conversational agents such as chatbots cannot yet express empathy in nuanced ways to account for its complex nature and quality. This project focuses on designing emotionally supportive conversational agents within the mental health domain. We take a user-centered co-creation approach to focus on the mental health problems of sexual assault victims. This group is chosen specifically, because of the high rate of the sexual assault incidents and its lifetime destructive effects on the victim and the fact that although early intervention and treatment is necessary to prevent future mental health problems, these incidents largely go unreported due to the stigma attached to sexual assault. On the other hand, research shows that people feel more comfortable talking to chatbots about intimate topics since they feel no fear of judgment. We think an emotionally supportive and empathic chatbot specifically designed to encourage self-disclosure among sexual assault victims could help those who remain silent in fear of negative evaluation and empower them to process their experience better and take the necessary steps towards treatment early on.
Supermarkets are essential urban household amenities, providing daily products, and for their social role in communities. Contrary to many other countries, including nearby ones, the Netherlands have a balanced distribution of supermarkets across villages and urban neighbourhoods. However, spatial supermarket patterns, are subject to influential developments. First, due to economies of scale, there is a tendency for supermarkets to increase their catchment areas and to disappear from peripheral villages. Second, supermarkets are now mainly located in residential areas, although the urban periphery appears to be attractive for the retail sector, perhaps including the rise of hypermarkets. Third, today, online grocery shopping is still lagging far behind on other online shopping products, but a breaks through will dilute population support for in-store supermarkets and can lead to dramatic ‘game changer’ shifts with major spatial and social effects. These three important trends will reinforce each other. Consequences are of natural community meeting places at the expense of social cohesion; reduced accessibility for daily products, leading to more travel, often by car; increasing delivery flows; real estate vacancies, and increasing suburban demand increase for retail and logistics. Expected changes in supermarket patterns require understanding, but academic literature on OGS is still scarce, and does hardly address household behaviour in changing spatial constellations. We develop likely spatial supermarket patterns, and model the consequences for travel demand, social cohesion and real estate demand, as well as the distribution between online and in-store grocery shopping, by developing a stated preference experiment, among Dutch households.
De economische en maatschappelijke betekenis van retail voor Nederland is groot. Tegelijkertijd is het een sector die sterk in ontwikkeling is. Door technologische, duurzame, sociaal-culturele en demografische ontwikkelingen staan veel winkeliers en andere stakeholders, zoals gemeenten, de vastgoedsector en toeleveranciers, voor belangrijke uitdagingen. Innovatie in de retail sector is noodzakelijk om deze uitdagingen het hoofd te bieden. Het Retail Innovation Platform bundelt, coördineert en voert nieuw praktijkgericht onderzoek uit dat retailers en andere stakeholders waardevolle inzichten geeft om te innoveren. Bij het platform zijn 18 onderzoeksgroepen van 15 hogescholen en universiteiten in Nederlanden en België aangesloten, die onderzoek doen naar retail innovatie. Samenwerking met geassocieerde partners, zoals TKI CLICKNL, de nationale Retailagenda, ShoppingTomorrow, branche- en belangenorganisaties als INretail, Thuiswinkel.org en Platform de Nieuwe Winkelstraat, vergemakkelijkt de doorwerking van de onderzoeksresultaten naar de sector. Elk van de deelnemende kennisinstellingen is ook verbonden met lokale verenigingen van retailers en individuele retailers. Tevens werkt het Retail Innovation Platform samen met het landelijk overleg voor retail onderwijs (het landelijk Opleidingsoverleg Ondernemerschap en Retail Management) met als doel om onderzoek en onderwijs hechter te verbinden en doorwerking van onderzoeksresultaten op onderwijs te borgen. En ook met het MBO worden verbindingen gelegd, zoals met het Albeda College in Rotterdam.
