Search results for "store"

showing 8 items of 128 documents

Psykososiaalista ja yhteisöllistä työtä : rekisteriaineistotutkimus kuraattorin tehtävästä Helsingin lukioissa

2017

Tutkimuksen tavoitteena on kuvata ja kartoittaa minkälainen lukiokuraattorin tehtävä on Helsingin lukioissa. Aineistona on käytetty lukiokuraattorien asiakasrekisteritilastoja ajalta 1.8.2014-31.7.2017. Tutkimuksessa pääosin tarkastellaan lukiokuraattorin tehtävää professiotutkimuksen näkökulmasta, mutta tutkimus myös osallistuu kuraattorin pätevyysvaatimuksista käytyyn keskusteluun. Tutkimuksen aikajänne on oppilas- ja opiskelijahuoltolain (1287/2013) jälkeinen aika. Tutkimus on metodologisesti kuvaileva ja kartoittava kvantitatiivinen tutkimus asiakasrekisteriaineistosta. Tutkimuksellinen sivujuonne on myös dokumentaation tutkimus. Asiakasrekisteriaineistossa on 1290 asiakkuuden tiedot 12…

sosiaalityökuraattorikuraattoritkoulun sosiaalityödokumentaatiokoulukoulukuraattoritaineistorekisteritutkimusasiakasrekisteritoppilashuoltodokumentointi
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The game of developing a game : hobbyist game developers as playful entrepreneurs in the Apple App Store

2015

sovelluksetverkkoyhteisötthematic narrative analysispelisuunnitteluHaastattelututkimustoimeenpanoentrepreneurshipApple App Storepelitasiakkaatpelaajathobbyistpeliteollisuusactantial modeleffectuationriskitharrastajatyrittäjätTapaustutkimusyrittäjyysepävarmuuspelialaonline interviewstoteutusgameplay
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Application of the Information Bottleneck method to discover user profiles in a Web store

2018

The paper deals with the problem of discovering groups of Web users with similar behavioral patterns on an e-commerce site. We introduce a novel approach to the unsupervised classification of user sessions, based on session attributes related to the user click-stream behavior, to gain insight into characteristics of various user profiles. The approach uses the agglomerative Information Bottleneck (IB) algorithm. Based on log data for a real online store, efficiency of the approach in terms of its ability to differentiate between buying and non-buying sessions was validated, indicating some possible practical applications of the our method. Experiments performed for a number of session sampl…

unsupervised classificationComputer science02 engineering and technologyE-commerceCustomer profile020204 information systems0202 electrical engineering electronic engineering information engineeringe-commerceWeb storeCluster analysisUser profileInformation retrievalbusiness.industrycustomer profileBehavioral patternInformation bottleneck methoddata miningComputer Science Applicationsmachine learningComputational Theory and MathematicsAgglomerative Information Bottleneck020201 artificial intelligence & image processinguser profilebusinessclusteringInformation SystemsJournal of Organizational Computing and Electronic Commerce
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Projekts: Storu melno ikru ražošanas uzņēmuma "Sturgeon's Pearl" dibināšana

2015

Maģistra darbā „Projekts: Storu melno ikru ražošanas uzņēmuma SIA „Sturgeon’s Pearl” dibināšana” tiek izstrādāts unikāls biznesa plāns jauna uzņēmuma dibināšanai, ar mērķi izveidot zivju fermas kompleksu ar pilnu tehnisko aprīkojumu ekoloģiski tīras produkcijas – stores melno ikru ražošanai un realizācijai Latvijas Republikas teritorijā. Plānots izmantot jaunāko ikru iegūšanas metodi, nenogalinot zivi, kas ļauj iegūt ikrus vairākas reizes no vienas stores un padarīt ražošanu daudz efektīvāku, bet produkta kvalitāti daudz augstāku. Storu audzēšanas procesa uzsākšana ir laikietilpīga procedūra, tāpēc plānots audzēt un pārdod dzīvo foreli kā papildus produkciju pirmo četru gadu laikā, kamēr sā…

varavīksnes foreleFinanses un kredītsmelnie ikriuzņēmumszivskrievu store
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Identifying the Sales Patterns of Online Stores with Time Series Clustering

2018

Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …

verkkokauppa (verkkoliiketoiminta)Series (mathematics)Computer scienceverkkokauppabusiness-to-consumercomputer.software_genreB2Conline storesklusteritsegmentointisales patternsSegmentationData miningCluster analysiscomputertime series clustering
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Ideal types of online shoppers : a qualitative analysis of online shopping behavior

2018

Due to the growing popularity of online shopping, there is a growing demand for understanding the motives and behaviour of online shoppers. This study aims to increase this understanding by examining online shopping behaviour from the perspective of UTAUT2 theory integrated with self-efficacy and risk avoidance components. The thematically analysed data from 31 participants highlights the unique aspects of online shoppers by grouping them into ideal types, presenting the data as extensively as possible. An ideal type is an analytical construct used to ascertain similarities and deviations to concrete cases in an individual phenomenon. This study discovered five ideal types of online shopper…

verkkokauppa (verkkoliiketoiminta)online shopperasiakkaatostokäyttäytyminencustomerideal typesideaalityypitonline shoppingkäyttäjäkokemusweb store
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Identifying the Sales Patterns of Online Stores with Self-Organising Maps on Time Series Data

2018

Electronic commerce, especially in the business-to-consumer (B2C) context, has for years been a popular research topic in information systems (IS). However, the prior research on the topic has traditionally been dominated by the consumer focus instead of the business focus of online stores. For example, whereas various segmentations exist for online consumers based on their purchase behaviour, no such segmentations have been developed for online stores based on their sales patterns. In this study, our objective is to address this gap in prior research by identifying the most typical sales patterns of online stores operating in the B2C context. By using self-organising maps (SOM) to analyse …

verkkokauppa (verkkoliiketoiminta)verkkokauppaaikasarjatbusiness-to-consumerkotitaloudetneuroverkotB2Conline storesself-organising mapssegmentointikuluttajakauppamyyntimallitsales patternskuluttajat
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The impact of store atmospherics and store layout on customer behavior in a hardware store retail setting : case: do-it-yourself store

2015

Comprehensive apprehension of retail establishment’s atmosphere’s effects on its cus-tomers’ overall perceptions of the store and thus purchasing behavior is an essential goal for any retailer, yet the previous marketing literature has converged on understanding the shopping environments of mostly malls, grocery stores, furniture stores and clothing stores. A window was left open for construing a wholly different shopping environment; DIY (do-it-yourself)/ hardware/ home improvement store. Shopping environment studies rely largely on environmental psychology theories in their attempts of deciphering the effects of environment on individuals. This study is fundamentally similar in nature, by…

vähittäiskauppaostokäyttäytyminenin-store marketinghardware storeretailStore atmosphericsilmapiiripath dataostaminencustomer behaviormarkkinointicustomer move-mentstore layoutimpulse buyingrautakaupat
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