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Sowijs deed onderzoek naar verschillende strategieën voor burgerparticipatie via sociale media. Hoe moet je Twitteren om mensen te betrekken en gebruik je dan wel of geen hashtags. Lees het in dit whitepaper!
Een online onderzoek naar de effecten op online participatiegedrag van verschillende communicatiestrategieën en het gebruik van hashtags.
Increasingly, education is delivered through computers and the internet. This article highlights that while such development is beneficial for some students with functional impairments, it might be excluding others if insufficient attention is paid to accessibility. Both the electronic learning environment (Blackboard, WebCT and the like) as well as the content author need to design for accessibility.
Het succes van een merk wordt steeds meer afhankelijk van de manier waarop sociale media worden ingezet. Organisaties proberen met behulp van sociale media brand communities te ontwikkelen om informatie te delen, merkwaarden te communiceren en klantrelaties te onderhouden
Retail industry consists of the establishment of selling consumer goods (i.e. technology, pharmaceuticals, food and beverages, apparels and accessories, home improvement etc.) and services (i.e. specialty and movies) to customers through multiple channels of distribution including both the traditional brickand-mortar and online retailing. Managing corporate reputation of retail companies is crucial as it has many advantages, for instance, it has been proven to impact generated revenues (Wang et al., 2016). But, in order to be able to manage corporate reputation, one has to be able to measure it, or, nowadays even better, listen to relevant social signals that are out there on the public web. One of the most extensive and widely used frameworks for measuring corporate reputation is through conducting elaborated surveys with respective stakeholders (Fombrun et al., 2015). This approach is valuable but deemed to be laborious and resource-heavy and will not allow to generate automatic alerts and quick and live insights that are extremely needed in this era of internet. For these purposes a social listening approach is needed that can be tailored to online data such as consumer reviews as the main data source. Online review datasets are a form of electronic Word-of-Mouth (WOM) that, when a data source is picked that is relevant to retail, commonly contain relevant information about customers’ perceptions regarding products (Pookulangara, 2011) and that are massively available. The algorithm that we have built in our application provides retailers with reputation scores for all variables that are deemed to be relevant to retail in the model of Fombrun et al. (2015). Examples of such variables for products and services are high quality, good value, stands behind, and meets customer needs. We propose a new set of subvariables with which these variables can be operationalized for retail in particular. Scores are being calculated using proportions of positive opinion pairs such as <fast, delivery> or <rude, staff> that have been designed per variable. With these important insights extracted, companies can act accordingly and proceed to improve their corporate reputation. It is important to emphasize that, once the design is complete and implemented, all processing can be performed completely automatic and unsupervised. The application makes use of a state of the art aspect-based sentiment analysis (ABSA) framework because of ABSA’s ability to generate sentiment scores for all relevant variables and aspects. Since most online data is in open form and we deliberately want to avoid labelling any data by human experts, the unsupervised aspectator algorithm has been picked. It employs a lexicon to calculate sentiment scores and uses syntactic dependency paths to discover candidate aspects (Bancken et al., 2014). We have applied our approach to a large number of online review datasets that we sampled from a list of 50 top global retailers according to National Retail Federation (2020), including both offline and online operation, and that we scraped from trustpilot, a public website that is well-known to retailers. The algorithm has carefully been evaluated by manually annotating a randomly sampled subset of the datasets for validation purposes by two independent annotators. The Kappa’s score on this subset was 80%.
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Online reputation systems (ORS) are platforms that collect and share feedback about products, services, or companies, primarily focusing on consumer reviews. However, employee rating platforms, a subset of ORS, allow workers to review their employers, providing valuable insights for job seekers and current employees. These reviews, often neglected in research, can significantly impact employees' perceptions and workplace dynamics by revealing hidden opinions and experiences. This study explores how employees manage the fear of interpersonal conflict arising from negative reviews and its effects on turnover intentions and recovery. Theoretical analysis utilizes the transactional model of stress and coping to understand these dynamics.
Abstract: Electronic and electrical waste (e-waste) is growing fast. The purpose of this study is to examine young consumers’ purchase intention of refurbished electronic devices (REDs) such as laptop, tablet, mobile phone and game console. From literature review the factors that influence young consumers’ purchase intention were identified as ‘environmental awareness’, ‘social acceptance’, ‘seller/brand reputation and availability’, and ‘affordability and value’. For each factor a few statements were developed and used as independent variables in a questionnaire. One statement was added about purchase intention as dependent variable. A Pearson correlation coefficient test us showed a clear positive correlation of ‘environmental awareness’ and ‘affordability and value’ with the intention to purchase REDs, but not for the other two factors. This analysis contributes to knowledge on young consumers’ perceptions of refurbished electronic devices and can inform the design of innovative value propositions and new business models for REDs that contribute to a circular economy
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Social media, such as Facebook, offer brands the opportunity to reach their target audience in a less obtrusive way than traditional media, through sponsored posts. Regulations require marketers to explicitly inform consumers about the commercial nature of these posts. This study addresses the effects of sponsorship disclosures by means of a 2 (no disclosure vs. the sponsorship disclosure ‘Sponsored’) × 2 (source: celebrity endorser vs. brand) experiment. Results suggest that a sponsorship disclosure only influences the use of persuasion knowledge when the post is disseminated by a celebrity. Moreover, a disclosure starts a process in which the recognition of advertising (i.e., the activation of conceptual persuasion knowledge) causes consumers to develop distrusting beliefs about the post (i.e., higher attitudinal persuasion knowledge), and in turn, decreases their intention to engage in electronic word of mouth.
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