Academic literature on the topic 'Story retell tool'
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Journal articles on the topic "Story retell tool"
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Smyk, Ekaterina, M. Adelaida Restrepo, Joanna S. Gorin, and Shelley Gray. "Development and Validation of the Spanish–English Language Proficiency Scale (SELPS)." Language, Speech, and Hearing Services in Schools 44, no. 3 (July 2013): 252–65. http://dx.doi.org/10.1044/0161-1461(2013/12-0074).
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Purpose This study examined the development and validation of a criterion-referenced Spanish–English Language Proficiency Scale (SELPS) that was designed to assess the oral language skills of sequential bilingual children ages 4–8. This article reports results for the English proficiency portion of the scale. Method The SELPS assesses syntactic complexity, grammatical accuracy, verbal fluency, and lexical diversity based on 2 story retell tasks. In Study 1, 40 children were given 2 story retell tasks to evaluate the reliability of parallel forms. In Study 2, 76 children participated in the validation of the scale against language sample measures and teacher ratings of language proficiency. Results Study 1 indicated no significant differences between the SELPS scores on the 2 stories. Study 2 indicated that the SELPS scores correlated significantly with their counterpart language sample measures. Correlations between the SELPS and teacher ratings were moderate. Conclusions The 2 story retells elicited comparable SELPS scores, providing a valuable tool for test–retest conditions in the assessment of language proficiency. Correlations between the SELPS scores and external variables indicated that these measures assessed the same language skills. Results provided empirical evidence regarding the validity of inferences about language proficiency based on the SELPS score.
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Wood, Carla, Mary Claire Wofford, Clariebelle Gabas, and Yaacov Petscher. "English Narrative Language Growth Across the School Year: Young Spanish–English Dual Language Learners." Communication Disorders Quarterly 40, no. 1 (March 26, 2018): 28–39. http://dx.doi.org/10.1177/1525740118763063.
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This study aimed to describe the narrative retell performance of dual language learners (DLLs) in the fall and spring of the school year and examine predictive relationships. Participants included 74 DLLs in kindergarten and first grade from low socioeconomic backgrounds. Microstructural measures included number of different words (NDW), words per minute (WPM), and verb accuracy. Macrostructural measures included number of total story elements and number of different types of story elements. Path analysis models were used to test the relations among variables. Findings indicated that narrative measures were sensitive to developmental differences across the school year. Fall NDW performance in narrative retells was moderately related to both spring NDW and the total number of macrostructural elements in the spring. Spring WPM was uniquely predicted by fall WPM. Authors concluded that narrative retells are sensitive to developmental differences across a school year for DLLs. Findings support the use of narrative retell measures as a promising tool to examine and describe English language growth of young DLLs within a school year.
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O’Malley, Mary-Pat, and Stanislava Antonijevic. "Adapting MAIN to Irish (Gaeilge)." ZAS Papers in Linguistics 64 (August 31, 2020): 127–38. http://dx.doi.org/10.21248/zaspil.64.2020.565.
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Irish (Gaeilge) is the first official language of the Republic of Ireland. It is a fast-changing, endangered language. Almost universal bilingualism (i.e. almost all Irish speakers also speak English), frequent code-switching to English, and loan words are features of the sociolinguistic context in which the language is spoken. This paper describes the adaptation of the Language Impairment Testing in Multilingual Settings - Multilingual Assessment Instrument for Narratives (LITMUS-MAIN, Gagarina et al., 2019) to Irish. Data was collected using the retell mode (Cat story) and the comprehension questions. Eighteen children participated ranging in age from 5;3 to 8;7 (six female and 12 male). Results suggest that story structure is not sensitive to exposure to Irish at home and indicate that MAIN Gaeilge (Irish) is a promising tool for assessing language in Irish- speaking children from a range of Irish language backgrounds.
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Castilla-Earls, Anny, and Katrina Fulcher-Rood. "Convergent and Divergent Validity of the Grammaticality and Utterance Length Instrument." Journal of Speech, Language, and Hearing Research 61, no. 1 (January 22, 2018): 120–29. http://dx.doi.org/10.1044/2017_jslhr-l-17-0152.
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Purpose This feasibility study examines the convergent and divergent validity of the Grammaticality and Utterance Length Instrument (GLi), a tool designed to assess the grammaticality and average utterance length of a child's prerecorded story retell. Method Three raters used the GLi to rate audio-recorded story retells from 100 English-speaking preschool children. To examine convergent validity, the results of the GLi were correlated with 2 language sample measures, mean length of utterance in words and percentage of grammatical utterances, and with the results of the Structured Photographic Expressive Language Test–Third Edition (Dawson, Stout, & Eyer, 2003). To examine divergent validity, the results of the GLi were correlated with the results of the Kaufman Brief Intelligence Test–Second Edition (Kaufman & Kaufman, 2004). Comparisons between task completion time for the GLi and Systematic Analysis of Language Transcripts (SALT; Miller & Iglesias, 2010) transcription and analysis were also conducted. Last, preliminary discriminant analysis was used to examine the diagnostic potential of the GLi. Results The results of this study provide evidence of convergent and divergent validity for the GLi. The task completion time for the GLi was considerably shorter than the SALT transcription and analysis. Preliminary analysis of diagnostic accuracy suggests that the GLi has the potential to be a good tool to identify children with language impairment. Discussion The GLi has good convergent and divergent validity and is a reliable instrument to assess utterance length and grammaticality of prerecorded language samples. However, SALT transcription and analysis provide a more detailed and comprehensive analysis of the language skills of a child.
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Shurr, Jordan, and Teresa Taber-Doughty. "The Picture Plus Discussion Intervention: Text Access for High School Students with Moderate Intellectual Disability." Focus on Autism and Other Developmental Disabilities 32, no. 3 (January 14, 2016): 198–208. http://dx.doi.org/10.1177/1088357615625056.
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Students with moderate intellectual disability often experience limited access to age-appropriate texts due to limitations in reading skills, access to instruction and supports, and educator beliefs. Use of text read alouds is an emerging tool for increasing such access; however, supports are often still required for access to age-appropriate texts. The purpose of this study was to investigate the use of the picture plus discussion (PPD) intervention on the comprehension abilities of high school students with moderate intellectual disability when expository texts were read aloud. A multiple probe design was used to measure the effect of this intervention across three different types of texts including leveled readers, stories from a local newspaper, and sections from employee handbooks. Results indicate that the PPD intervention was successful in increasing student comprehension as measured by story retell. Implications and future directions for research and practice are discussed.
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Bošnjak Botica, Tomislava, and Jelena Kuvač Kraljević. "Causality in Children’s Oral and Written Narrative Retelling." Rasprave Instituta za hrvatski jezik i jezikoslovlje 48, no. 1 (July 29, 2022): 199–221. http://dx.doi.org/10.31724/rihjj.48.1.9.
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One of the main prerequisites for understanding and producing coherent oral discourse or written text is successful understanding and production of causal relations. During both production, children have at their disposal a wide range of linguistic modes to mark it, some of which are more explicit and others more implicit. In this study, retelling was used as a method to elicit narratives that served as a tool for analysing causal relations. Retelling enables exploring the linguistic reformulation of the syntactic structures of a previously stored story and the analysis of the overlap between the language content which child is exposed to (language input) and the language that child produces (language output). Two groups of children, aged 10 (N = 23) and 12 (N = 30), were exposed to the story at two time points; in the first they had to retell it orally and in the second they had to write it. The conducted analyses showed that 12-years old children produced in total more causal relations than 10-year-old in written modality only. This difference is explained by the greater writing competence of 12-year-old children in the production of more complex syntactic structures. Furthermore, both groups of children in both modalities dominantly used the same causal markers that are primarily grammatical. All these findings point to the children’s ability to reformulate causal relations regardless of the language content to which they were previously exposed.
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Záboj, M. "Using RFID in supply chain and retail store unit." Agricultural Economics (Zemědělská ekonomika) 51, No. 9 (February 20, 2012): 427–34. http://dx.doi.org/10.17221/5130-agricecon.
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The paper deals with the very actual sphere of using new tool within the frame of entire supply chain from manufacturer towards consumer. The common idea is a management of the flow of goods by the method which should be enable more effective identification, control, tracking and many follow-ups processes in the distribution channel. Even in retail store, the final consumer could use this instrument for his/her increased satisfactory and comfort during his/her shopping. Presumption for realisation of this goal becomes the implementation of a new phenomenon RFID (radio frequency identification) into current operations performed throughout the all levels of value chain with using modern information technology.
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Mojahedi Rezaeian, Setareh, Abbas Ali Ahangar, Peyman Hashemian, and Mehrdad Mazaheri. "Assessing an Eliciting Narrative Tool Used for Studying the Development of Persian-speaking Children’s Narrative Discourse Skills." Journal of Modern Rehabilitation 14, no. 1 (May 28, 2020): 55–68. http://dx.doi.org/10.32598/jmr.14.1.7.
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Introduction: Developing children’s skills in producing oral narratives can reflect their linguistic and cognitive abilities. However, to evaluate these abilities appropriately, it is necessary to find and apply an efficient narrative assessment tool. This study primarily aimed to assess the reliability and validity of a picture story, as a narrative eliciting tool, based on Persian-speaking children’s narratives. This assessment is going to be done at the microstructure and macrostructure levels. Furthermore, to evaluate the power of the assessment tool, we explored the effect of age and gender variables on using different narrative elements at the microstructure and macrostructure levels. Materials and Methods: We used a picture story, “Frog, where are you?” to elicit oral narratives in 48 subjects, including 7-, 9-, and 11-year-old boys and girls. The reliability and validity of the tool were respectively assessed by test-retest and factor analysis. Results: The findings indicated a significantly high correlation between the evaluated features based on test-retest. Besides, factor analysis revealed four categories: sentence structures, references, conjunctions, measures of story length. They were valid indicators for assessing Persian-speaking children’s narratives. The results also showed a statistically significant difference among different age groups, but an insignificant effect of gender on using discursive features in the tales.Conclusion: The picture story “Frog, where are you?” can be used as a reliable and valid narrative eliciting tool for Persian data at the microstructure and macrostructure levels. Also, the age factor, but not the gender one, affects the stories recited by Persian children.
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Bermingham, Philip, Tony Hernandez, and Ian Clarke. "Network Planning and Retail Store Segmentation." International Journal of Applied Geospatial Research 4, no. 1 (January 2013): 67–79. http://dx.doi.org/10.4018/jagr.2013010105.
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Store segmentation aims to divide a network of stores into meaningful groups, typically based on a combination of operational, site and trading environment characteristics. It is an increasingly important component within network planning activities of major retail chains due to the significant capital investment that is physically grounded in their large store networks. The paper outlines findings from case study research that has focused on developing spatial decision support tools that enable decision makers to explore, construct and visualize store segments. An integrated spatial statistical approach to store segmentation is detailed and associated benefits and shortfalls discussed. The paper highlights the potential to develop customised geospatial tools to support network planning decision making activities. It is argued that geospatial decision support tools need to be designed to accommodate the varying GIS skill-levels of potential end-users and that fundamentally more emphasis needs to be placed on creating tools that can be used by decision-makers as opposed to analysts.
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Sevtsuk, Andres, and Raul Kalvo. "Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size." Environment and Planning B: Urban Analytics and City Science 45, no. 3 (July 26, 2017): 508–28. http://dx.doi.org/10.1177/2399808317721930.
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We introduce a version of the Huff retail expenditure model, where retail demand depends on households’ access to retail centers. Household-level survey data suggest that total retail visits in a system of retail centers depends on the relative location pattern of stores and customers. This dependence opens up an important question—could overall visits to retail centers be increased with a more efficient spatial configuration of centers in planned new towns? To answer this question, we implement the model as an Urban Network Analysis tool in Rhinoceros 3D, where facility patronage can be analyzed along spatial networks and apply it in the context of the Punggol New Town in Singapore. Using fixed household locations, we first test how estimated store visits are affected by the assumption of whether shoppers come from homes or visit shops en route to local public transit stations. We then explore how adjusting both the locations and sizes of commercial centers can maximize overall visits, using automated simulations to test a large number of scenarios. The results show that location and size adjustments to already planned retail centers in a town can yield a 10% increase in estimated store visits. The methodology and tools developed for this analysis can be extended to other context for planning and right-sizing retail developments and other public facilities so as to maximize both user access and facilities usage.
Dissertations / Theses on the topic "Story retell tool"
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Vrsajko, Milos, and Maja Fridsén. "Fysiska klädbutikers kamp mot e-handel : En granskning av de små fysiska butikernas konkurrensmedel gentemot e-handel." Thesis, Högskolan i Halmstad, Akademin för företagande, innovation och hållbarhet, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43278.
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E-handeln växer mer och mer för varje år och det har aldrig någonsin varit lättare att köpa produkterän vad det är idag. För fysiska butiker är det därför viktigt att använda sina konkurrensmedel,marknadsföringsstrategier och handelsmiljö på rätt sätt för att överleva på marknaden och för attöverleva konkurrensen från den växande e-handeln. De fysiska butikerna behöver fokusera på hur dekan vara konkurrenskraftiga på marknaden för att inte bli utkonkurrerade av e-handeln. Syftet medstudien är att undersöka hur lokala klädbutiker utan e-handel överlever och bemöter konkurrensen fråne-handeln.Vi har använt oss utav en kvalitativ metod för att kunna besvara vår frågeställning och vårt syfte. Vigenomförde kvalitativa intervjuer med fyra butiksägare av fyra små butiker som inte har någon ehandel,och vi analyserade sedan deras svar genom att jämföra svaren som vi fick med det valdateoretiska ramverk som vi använt oss av i studien och även med tidigare forskning inom ämnet. Vigjorde även observationer hos dessa fyra butiker.Slutsatsen som dragits av undersökningen är att mindre butiker överlever på marknaden genom att haen god service och lojala kunder. Det är dessutom inte lönt för mindre butiker att starta en e-handel dådet resulterar i mer jobb och kostnader.The e-commerce is growing every year and the opportunities to purchase products such as clotheshave never been easier than it is today. For the physical stores it is now important to use theircompetitive tools, marketing strategies, trading environment in the right way to survive the expand ofe-commerce. Their focus needs to be on how to conquer their market as a store and to not get outconquered by the e-commerce. The purpose of this study is while the e-commerce is expanding andtaking over more market shares how does the physical stores react and what kind of competitive toolscan they use to keep the sales up and going without an online store.We used a qualitative research method to answer that question. We conducted interviews with fourowners of shops that does not have an online store, and analyzed the answers by comparing them toour chosen theoretical framework and previous studies. We also made observations at these fourstores.The conclusion drawn from the survey is that smaller stores survive in the market by having goodservice and loyal customers. Furthermore, it is not worthwhile for smaller stores to start an ecommerceas this results in more jobs and costs.
Books on the topic "Story retell tool"
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Windham, Lane. Knocking on Labor's Door. University of North Carolina Press, 2018. http://dx.doi.org/10.5149/northcarolina/9781469632070.001.0001.
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The power of unions in workers’ lives and in the American political system has declined dramatically since the 1970s. In recent years, many have argued that the crisis took root when unions stopped reaching out to workers and workers turned away from unions. But here Lane Windham tells a different story. Highlighting the integral, often-overlooked contributions of women, people of color, young workers, and southerners, Windham reveals how in the 1970s workers combined old working-class tools--like unions and labor law--with legislative gains from the civil and women’s rights movements to help shore up their prospects. Through close-up studies of workers' campaigns in shipbuilding, textiles, retail, and service, Windham overturns widely held myths about labor’s decline, showing instead how employers united to manipulate weak labor law and quash a new wave of worker organizing. Recounting how employees attempted to unionize against overwhelming opposition from bosses and corporations, Knocking on Labor's Door dramatically refashions the narrative of labor and politics during a crucial decade and remaps the recent history of the American workplace. Windham's story inspires both hope and indignation, and will become a must-read in labor, civil rights, and women’s history.
Book chapters on the topic "Story retell tool"
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Khakzar, Karim, Rainer Blum, Jörn Kohlhammer, Arnulph Fuhrmann, Angela Maier, and Axel Maier. "Interactive Product Visualization for an In-Store Sales Support System for the Clothing Retail." In Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design, 307–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73345-4_35.
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Renko, Sanda. "Atmosphere as a Store Communication Tool." In Handbook of Research on Retailer-Consumer Relationship Development, 239–57. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6074-8.ch013.
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Many studies have found that within an intensely competitive market, it is difficult for retailers to gain advantages from products, prices, promotions, and location. They have to work hard to keep their stores favourable in the mind of consumers. Both practitioners and researchers recognize store atmosphere as a tool for creating value and gaining customers. This chapter provides a conceptual framework for studying the influence of store atmosphere on the store patronage. The chapter presents the main dimensions that constitute conventional retail stores' atmosphere and clarifies the manipulation of elements such as colour, lighting, signage, etc. within the store to communicate retailers' messages to customers. The topic is investigated from both retailers` and customers` perspective. The chapter concludes that both consumers and retailers prioritize functional cues in modern retailing forms.
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Sharma, Renu, Mamta Mohan, and Prabha Mariappan. "Artificial Intelligence in Retail." In Advances in Marketing, Customer Relationship Management, and E-Services, 202–30. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7959-6.ch013.
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This chapter gives an overview of how artificial intelligence is used by the retail sector to enhance customer experience and to improve profitability. It provides information about the role of the pandemic in stimulating AI adoption by retailers. It deliberates on how AI tools help retailers to engage customers online and in stores. Firms gain better understanding of customers, design immersive experiences, and enhance customer lifetime value using cost-effective technology solutions. It discusses popular AI algorithms like recommendation algorithm, association algorithm, classification algorithm, and predictive algorithm. Popular applications in retail include chatbots, visual search, voice search engine optimisation, in-store assistance, and virtual fitting rooms.
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Renko, Sanda, Ivana Štulec, and Kristina Petljak. "The Importance of Retail Atmosphere in Online and Offline Environments." In Handbook of Research on Retailing Techniques for Optimal Consumer Engagement and Experiences, 87–109. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1412-2.ch005.
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Retailers have found it increasingly difficult to create a differential advantage based on the traditional marketing mix. This chapter sheds light on the increasing role of atmosphere as a tool for keeping retailers favourable in the mind of consumers. As retailers no longer just use the place to do business in the form of physical structures but also the intangible virtual store, this chapter presents the main dimensions of the retail atmosphere in both conventional retail stores and their electronic counterparts. Store attributes are equally important for consumers when making a purchase decision both online and offline. Study results suggest Croatian consumers are very task-oriented and question retailers' decisions in creating the appropriate mix of environmental factors that may influence customers' patronage decisions.
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Hemalatha, M. "A Predictive Modeling of Retail Satisfaction." In Knowledge Management and Drivers of Innovation in Services Industries, 175–89. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0948-8.ch014.
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Data mining allows managers to make more knowledgeable decisions by predicting future trends and behaviors. One of the most widely used areas of data mining for the retail industry is in marketing. There are also at least seven methods of analysis or statistical techniques that are commonly used in data mining. It is obvious that the approach to the data mining is the key determinant of the statistical technique to be used. Predictive modeling uses variety of techniques such as linear regression, logistic regression, and their extensions can be used to identify patterns, which can be used to predict the future. This research specifically focuses on the application of multiple regression technique a data mining tool in Indian retail industries to predict the retail satisfaction using store attributes as independent variables.
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Hemalatha, M. "A Predictive Modeling of Retail Satisfaction." In Data Mining, 1276–90. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2455-9.ch065.
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Data mining allows managers to make more knowledgeable decisions by predicting future trends and behaviors. One of the most widely used areas of data mining for the retail industry is in marketing. There are also at least seven methods of analysis or statistical techniques that are commonly used in data mining. It is obvious that the approach to the data mining is the key determinant of the statistical technique to be used. Predictive modeling uses variety of techniques such as linear regression, logistic regression, and their extensions can be used to identify patterns, which can be used to predict the future. This research specifically focuses on the application of multiple regression technique a data mining tool in Indian retail industries to predict the retail satisfaction using store attributes as independent variables.
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Hemalatha, M. "A Fuzzy Clustering Approach for Segmenting Retail Industry." In Intelligent Techniques in Recommendation Systems, 152–69. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2542-6.ch008.
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The foremost theme of this chapter is to utilize the subtractive clustering concept for defining the market boundaries in the fuzzy-based segmentation. In this sense, the present work starts by analyzing the importance of segmenting the shoppers on the basis of store image. After reviewing the segmentation literature, the authors performed a segmentation analysis of retail shoppers in India. Researchers often use clustering analysis as a tool in market segmentation studies, the results of which often end with a crisp partitioning form, where one member cannot belong to two or more groups. This indicates that different segments overlap with one another. This chapter integrates the concept of application of subtractive clustering in fuzzy c means clustering for profiling the customers who perceive the retail store based on its image. Fuzzy clustering is also compared with hard clustering solutions. Then the authors predict the model using discriminate analysis. Further, the chapter concentrates on the answer tree model of segmentation to identify the best predictor. Main conclusions with implications for retailing management are shown.
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Hallier, Bernd. "From Mass Distribution to Customer-Centric Awareness Tools." In Customer-Centric Marketing Strategies, 498–510. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2524-2.ch024.
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The demand for meat grew in Western Europe after World War II: meat became a mass-product from the 70s of the last century onwards. However, while in the consumer product section “brands” were established, in the agricultural sector food was an anonymous product. Unfortunately, mass-production and discount-prices resulted in many food scandals starting in the 80s. In the beef-sector, especially the British Cow Decease (BSE) created a mistrust of meat. To re-gain “trust” meat-buyers of six German retail-chains started in 1995, together with the Cologne-based EHI Retail Institute, a tracking and tracing system—known later as the EHI-Meat-Label. This private initiative has been rolled out since 1997 by the EU via EU-regulations. Within the last five years, most stakeholders had been built up in the total supply chain in Western Europe with tracking/tracing systems from farm to fork, quite often with the help of IT. The evolution at the beginning of this decade is caused by mobile technology and social media, i.e. apps on smart phones that enable the communication “from fork to farm.” The challenge is a U-turn of info-streams strongly emphasizing consumer awareness. Part one of this chapter discloses what had happened at the backstage of the EHI-Meat Workshop between 1994 and 2001 to create a technical tool for tracing, to intertwine all stakeholders in the market, and to establish politics, both nationally and internationally. This work represents a case study of applied sciences to explain chronologically what happened within that time-period. Part two is an analysis of the marketing-tools and how the mix of the activities of EHI was used so that this success-story could unfold. Part three is a look at how to cope with the new challenge of smart phones and apps by integrating the individual pioneers into an EU-roof of Future Internet and Technologies. The chapter has been developed through an ethnographic observation platform by the author’s practical experience and observation.
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Russo, Giuseppe, Maja Bozic, Ylenia Cavacece, and Giuseppe Granata. "The Influence of Retailer Choices on Consumer Behaviors and Sales Productivity." In Advances in Marketing, Customer Relationship Management, and E-Services, 133–51. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7856-7.ch007.
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The aim of this chapter is to analyze the most relevant factors affecting retailers by investigating the relationships between store type, assortment level, customers' purchases, and sales productivity. Analyzing the dataset of the German retailer Rossmann through classification and regression tools, this work investigates what store type customers visit more often, what kind of assortment they prefer, and how sales profitability is affected by internal and external factors. Results show a tendency from customers to shop in smaller neighborhood markets rather than in the large shopping centers with extensive assortments, determining an increase in sales productivity in smaller size stores. Results suggest managers developing strategies for creating multiple retail formats in order to meet the diverse customers' tendencies in the today's market.
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Musso, Fabio, and Roxana Adam. "Retailing 4.0 and Technology-Driven Innovation." In Handbook of Research on Retailing Techniques for Optimal Consumer Engagement and Experiences, 338–54. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1412-2.ch015.
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The chapter analyzes the contribution of technology for boosting innovation within the retail industry. The study focuses on the main areas of innovation for retailers, both in the relationships with suppliers and the final demand. With reference to vertical relationships (for supplying activities), the key innovation areas are those of technology-based interaction tools, joint management of supplying activities, and E-sourcing. In the relations with consumers, technology is stimulating innovation on checkout technologies, dynamic in-store pricing, electronic and mobile payments, augmented reality, artificial intelligence-supported devices, and self-service technologies.
Conference papers on the topic "Story retell tool"
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Pazzaglia, Giulia, Marco Mameli, Emanuele Frontoni, Primo Zingaretti, Rocco Pietrini, Davide Manco, and Valerio Placidi. "A Deep Learning Approach for Product Detection in Intelligent Retail Environment." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71462.
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Abstract A planogram is the graphical representation of the way a given number of products are positioned within the shelves in a store. The creation of a correct planogram is a fundamental tool for a store’s performance: it helps to increase sales and achieve maximum customer satisfaction by reducing out-of-stocks. To this end, this work aims to provide an automatic object recognition based system that allows the operator to verify the correctness of a planogram. For image acquisition, either low-cost battery-powered cameras positioned on the opposite side of the shelf or simply a tablet with a dedicated app can be used. These tools are connected to the cloud where the detection and matching phases are performed. The experimental results come from a real environment.
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Alves, Geovanne O., Jorge C. B. Fonsêca, and Alexandre M. A. Maciel. "Evaluation of Machine Learning Models for Estimating Sales in Physical Retail." In Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/kdmile.2021.17459.
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The amount of sales in a store is a strong indicator that contributes to managers' decision making. In physical retail, unlike e-commerce, it is more difficult to collect sales and customer behavior metrics because it depends on great sensing and integration between systems. In a shopping mall scenario, we use real WiFi data, People Flow and Sales create a dataset. In this article we propose an evaluation of machine learning models with the objective of estimating the next hour sales in Low, Medium and High, thus providing a tool to assist in decision making. We use the PyCaret library to perform the training of the 13 compared algorithms. The F1-score metric was used to evaluate the models. The Gradient Booster Classifier was the model that got the best result with a score of 84.75%. Among the estimated classes, the High class showed the greatest error in the confusion matrix, reaching 60%, possibly a reflection of the low amount of records in the high class.
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Kemppainen, Tiina, Lauri Frank, Markus Makkonen, and Oona-Iina Hyvönen. "Barriers to Responsible Consumption in e-Commerce: Evidence from Fashion Shoppers." In Digital Support from Crisis to Progressive Change. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-485-9.24.
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This qualitative study investigates the barriers to responsible consumption in e-commerce from the online shoppers’ viewpoint. The purpose of the study is to increase our understanding of what prevents young adults from making responsible purchases in online stores in the context of fashion retail. The data were collected by interviewing ten Finnish fashion shoppers aged 23-27 years. The findings show that responsible consumption is perceived as complex and challenging. The study identified barriers related to online stores and consumers themselves. Online store implementation (product availability, information and transparency, and pricing) is vital in facilitating online shoppers’ responsible purchasing decisions. However, consumers’ personal consumption patterns and habits, and problems related to time use and responsibility assessment, can also be constraints on responsible consumption. Future studies are encouraged to investigate how online solutions, such as user interfaces, online tools, and apps, could better assist consumers in overcoming the identified barriers.
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Colby, Alexander, Hailey Pensky, Marianne Sarkis, and Julie Johnson. "Using Retailer Data and Subjective Resident Experience to Assess Legal Cannabis Access in Massachusetts." In 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.43.
Full textAbstract:
Adult-use cannabis retail storefronts first opened in Massachusetts in November 2018. Forty months later, there are 366 cannabis retailers across the Commonwealth, but it remains unclear which areas have adequate access to safe, regulated (“legal”) cannabis products, and which areas are underserved. In this study, we use open census and retailer data and self-report surveys from Massachusetts residents to estimate access to legal cannabis across Massachusetts. We used populations from the 2020 census and the Cannabis Control Commission’s Licensing data to approximate the cannabis retailer density per 100,000 people in each of Massachusetts’ fourteen counties. Counties were collapsed by Region to provide trend estimates by general geographic location. Cannabis retailer density were highest in Berkshire, Franklin, and Hampshire Counties (Western), and lowest in Norfolk (Southeast), with less than one retailer (0.7) per 100,000 people, followed by Barnstable (Southeast) and Suffolk (Northeast) counties. Massachusetts resident data from the International Cannabis Policy Study (ICPS) for 2019 (N = 2,476) and 2020 (N = 2,207) were used to determine whether the subjective experiences and purchasing behaviors of residents support the results of our objective measure. Binomial regressions were run at the Region-level to lower the risk of Type I error. Participants were first asked why they bought from an illegal rather than legal source, and comparisons were made between Regions based on the amount of individuals answering “Legal sources were too far away.” The Southeast region served as reference group, as it had the lowest retail density and was believed to have more people reporting dispensaries were too far away. Results show that only residents of the Central region [RR .52, CI(.28, .91), p = .031] were less likely to report that legal sources were too far away than Southeast residents. All other regions did not reach significance. We asked participants where they were purchasing their cannabis products and compared the number of residents of each Region that reported purchasing from a “licensed recreational store.” We included Western as the reference group for this model as it was the Region with the highest retail density and was likely home to many residents buying from stores. Residents of Western Massachusetts were significantly more likely to purchase their products from legal stores than residents of the Central [.72, CI(.6, .87), p <.001], Northeast [.74, CI(.64, .86), p<.001], or Southeast [.81, CI(.7,.94), p=.005] Massachusetts. It has been six years since Massachusetts legalized cannabis, yet notable inequities still exist in residents’ access to legal, nonmedical, adult-use cannabis products. Western Massachusetts was the best-served region for cannabis consumers by our estimates, where Southeast Massachusetts remained largely underserved through 2020. These inequities may have implications for cannabis law enforcement in the state, as illicit sources of cannabis could flourish in the absence of easily accessible legal dispensaries. Future work should consider the scope of the illicit market(s) and whether individuals in underserved areas are at higher risk of committing cannabis-related offenses either at the state (distribution) or federal level (trafficking cannabis across state lines).