The semantic differential is a widely applied measurement technique in the information systems field. As wedemonstrate in this study, however, there is evidence that many of the applications of the semantic differentialseem to be subject to common shortcomings. In this study, we address these shortcomings by creatingawareness of the requirements underlying semantic differentiation. We discuss the requirements of semanticdifferentiation and use them as a foundation to introduce a framework to assist researchers in applying thesemantic differential more adequately. The framework puts renewed emphasis on bipolar scale selection anddimensionality testing, introduces semantic bipolarity as new criterion, and proposes distinct stages for thetesting of wording and contextual contamination. We exemplify the framework using an illustration exercise,which centers on the assessment of the meaning of the concept “electronic marketplace quality”. Using amixture of qualitative and quantitative methods, the illustration exercise clarifies the prerequisites for semantic differentiation and provides suggestions for researchers. The paper concludes with a discussion of several methodological implications.
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E-discovery projects typically start with an assessment of the collected electronic data in order to estimate the risk to prosecute or defend a legal case. This is not a review task but is appropriately called early case assessment, which is better known as exploratory search in the information retrieval community. This paper first describes text mining methodologies that can be used for enhancing exploratory search. Based on these ideas we present a semantic search dashboard that includes entities that are relevant to investigators such as who knew who, what, where and when. We describe how this dashboard can be powered by results from our ongoing research in the “Semantic Search for E-Discovery” project on topic detection and clustering, semantic enrichment of user profiles, email recipient recommendation, expert finding and identity extraction from digital forensic evidence.
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What is a pop-up store and how can it be used for organisational counterspacing? The pop-up can be interpreted as a fashionable and hypermodern platform focusing on the needs of a younger generation of consumers that searches for new experiences and is prone to ad hoc decision-making. From this perspective, the pop-up is a typical expression of the experience economy. But it is more. The ephemeral pop-up store, usually lasting from one day to six months, is also a spatial practice on the boundary between place as something stable/univocal and space as something transitory/polyphonic. Organizational theory has criticized the idea of a stable place and proposed the concept of spacing with a focus on the becoming of space. In this article, the pop-up store is introduced as a fashionable intervention into organizational spacing. It suggests a complementary perspective to non-representational theory and frames the pop-up as co-actor engaging everyday users in appropriating space. Drawing on Lefebvre’s notions of differential space, festival and evental moment, theory is revisited and then operationalized in two pop-up store experiments. Apart from contributing to the ongoing theoretical exploration of the spacing concept, this article aims to inspire differential pop-up practices in organisations. https://www.linkedin.com/in/overdiek12345/
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This paper explores the application of Self-Concepts, a Semantic-Differential Scale-based methodology, to evaluate a Serious Game designed for cognitive impairment assessment using the MoCA test and augmented reality (AR) for mobility analysis. A case study involved seven elderly participants. Despite some challenges in navigating the AR environment and cognitive tests, self-concept evaluations consistently demonstrated high user expectations and positive experiences with the digital artifact. This study validates the process and highlights the potential of Self-Concepts in assessing product acceptance within user groups.
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Corporate reputation is becoming increasingly important for firms; social media platforms such as Twitter are used to convey their message. In this paper, corporate reputation will be assessed from a sustainability perspective. Using sentiment analysis, the top 100 brands of the Netherlands were scraped and analyzed. The companies were registered in the sustainable industry classification system (SICS) to perform the analysis on an industry level. A semantic search tool called Open Semantic Desktop Search was used to filter through the data to find keywords related to sustainability and corporate reputation. Findings show that companies that tweet more often about corporate reputation and sustainability receive overall a more positive sentiment from the public.
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Gamma-band neuronal synchronization during sentence-level language comprehension has previously been linked with semantic unification. Here, we attempt to further narrow down the functional significance of gamma during language comprehension, by distinguishing between two aspects of semantic unification: successful integration of word meaning into the sentence context, and prediction of upcoming words. We computed eventrelated potentials (ERPs) and frequency band-specific electroencephalographic (EEG) power changes while participants read sentences that contained a critical word (CW) that was (1) both semantically congruent and predictable (high cloze, HC), (2) semantically congruent but unpredictable (low cloze, LC), or (3) semantically incongruent (and therefore also unpredictable; semantic violation, SV). The ERP analysis showed the expected parametric N400 modulation (HC < LC < SV). The time-frequency analysis showed qualitatively different results. In the gamma-frequency range, we observed a power increase in response to the CW in the HC condition, but not in the LC and the SV conditions. Additionally, in the theta frequency range we observed a power increase in the SV condition only. Our data provide evidence that gamma power increases are related to the predictability of an upcoming word based on the preceding sentence context, rather than to the integration of the incoming word's semantics into the preceding context. Further, our theta band data are compatible with the notion that theta band synchronization in sentence comprehension might be related to the detection of an error in the language input.
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Differences in the oscillatory EEG dynamics of reading open class (OC) and closed class (CC) words have previously been found (Bastiaansen et al., 2005) and are thought to reflect differences in lexical-semantic content between these word classes. In particu-lar, the theta-band (4-7 Hz) seems to play a prominent role in lexical-semantic retrieval. We tested whether this theta effect is robust in an older population of subjects. Additionally, we examined how the context of a word can modulate the oscillatory dynamics underly-ing retrieval for the two different classes of words. Older participants (mean age 55) read words presented in either syntactically correct sentences or in a scrambled order ("scram-bled sentence") while their EEG was recorded. We performed time-frequency analysis to examine how power varied based on the context or class of the word. We observed larger power decreases in the alpha (8-12 Hz) band between 200-700 ms for the OC compared to CC words, but this was true only for the scrambled sentence context. We did not observe differences in theta power between these conditions. Context exerted an effect on the alpha and low beta (13-18 Hz) bands between 0 and 700 ms. These results suggest that the previously observed word class effects on theta power changes in a younger participant sample do not seem to be a robust effect in this older population. Though this is an indi-rect comparison between studies, it may suggest the existence of aging effects on word retrieval dynamics for different populations. Additionally, the interaction between word class and context suggests that word retrieval mechanisms interact with sentence-level comprehension mechanisms in the alpha-band.
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In their study "How Perceived Fit Affects Customers’ Satisfaction of In-Store Social Robot Advice", Stephanie van de Sanden, Tibert Verhagen, Ewout Nas, Jacqueline Arnoldy, and Koen Hindriks explore how various dimensions of perceived fit influence customer attitudes and satisfaction toward social robots providing product advice in retail settings. Drawing on theories from marketing and information systems, the authors conceptualize four types of technology fit—task-technology, individual-technology, store-technology, and shopping experience-technology—and propose a model linking these fits to customer attitudes and satisfaction. A field study conducted in a garden center using a robot that advised on potting soil involved 224 participants, whose responses were measured through established Likert and semantic differential scales. The findings aim to inform future design and deployment of social robots in retail by highlighting the importance of contextual and experiential alignment between the robot, task, customer, and environment.
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Teacher education enables students to grow from ‘novice’ into ‘starting expert’ teachers. In this study, students’ textual peer feedback on video recordings of their teaching practice was analysed to determine the growth of their expertise in relation to blended curriculum design. The degree to which curriculum and literature influenced their feedback was assessed by semantic network analysis of prominent words from the literature that was studied, as well as the lexical richness andsemantic cohesion of students’ peer feedback and reflections. The lexical richness and the semantic cohesion increased significantly by the end of the semester. This means that students incorporated new vocabulary and maintained semantic consistency while using the new words. Regarding the semantic network analysis, we found stronger connections between the topics being discussed by the students at the end of the semester. Active use of video and peer feedback enhances students’ activeknowledge base, thus furthering effective teaching.
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Tot op heden bestond er geen onderzoeksinstrument dat betrouwbaar differentieert tussen broddelende en stotterende clienten. Een door de eerste auteur ontwikkelde test voor spraakmotorische controle op woordniveau is genormeerd en gevalideerd voor broddelende, stotterende sprekers en controles. Dit unieke instrument heeft een differentiaal diagnostische waarde binnen de vloeiendheidsstoornissen.
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