Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

Information Design for Personas in Four Professional Domains of User Experience Design, Healthcare, Market Research, and Social Media Strategy

Practitioners in user-centric industries have increasingly recognized the applicability of personas. However, the methods used to create personas in different domains remain inconsistent and unsystematic. We analyzed 51 studies focused on designing personas for professional purposes and found the practice most prevalent in the user experience design, healthcare, market research, and social media strategy domains. Within these domains, user experience design personas are characterized by their focus on user activity goals, health personas on medical patients’ physical symptoms, market research personas on customers’ lifestyles, and social media strategy personas on interactions within and between online communities. We identify and compare the elements in the personas. Based on these, we provide guidelines for professionals interested in developing personas for understanding barriers to positive user experience, recruiting users, and building online communities, including how to represent persona details related to lifestyle and health, contexts of product usage, and scaling of online data

Customer Segmentation Using Real Transactional Data in E-Commerce Platform: A Case of Online Fashion Bags Shop

Customer segmentation has been widely used in different businesses and plays important rules in customer service. How to get a suitable segmentation based on the real transactional data to fully mining the hidden customer information in the massive data is still a challenge in current e-commerce platforms. This paper develops a customer segmentation model for online shops and uses the real data from a fashion bag store as a case. This paper firstly conducts a data preprocessing to select the main customer features, then it constructs a segmentation model based on the Fuzzy C-Means algorithm, and finally accomplishes a customer prediction model using a probabilistic neural network to estimate new customer’s customer type. The results show that the customer samples are classified into three types, and the prediction accuracy is more than 90%. After that, this paper demonstrates the typical features of each type of customer and compares the new group features with the prior VIP groups. The ANOVA analysis test results show that the new groups have more significant differences than prior VIP groups, which means more effective segmentation results

Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis study presents a framework for segmenting Food Delivery Application (FDA) customers based on psychographic and behavioral variables as an alternative to existing segmentation. Customer segments are proposed by applying clustering methods to primary data from an electronic survey. Psychographic and behavioral constructs are formulated as hypotheses based on existing literature, and then evaluated as segmentation variables regarding their discriminatory power for customer segmentation. Detected relevant variables are used in the application of clustering techniques to find adequate boundaries within customer groupings for segmentation purposes. Characterization of customer segments is performed and enriched with implications of findings in FDA marketing strategies. This paper contributes to theory by providing new findings on segmentation that are relevant for an online context. In addition, it contributes to practice by detailing implications of customer segments in an online sales strategy, allowing marketing managers and FDA businesses to capitalize knowledge in their conversion funnel designs

Lifestyle, status and occupational differentiation in Victorian accountancy

New insights are offered to the professionalization of accountants in Britain circa 1881 by examining the private foundations of occupational status and identity as manifested by domestic arrangements and residence patterns. Drawing on literature pertaining to the relationship between consumption and socio-cultural differentiation the study deploys empirical evidence from the British census to analyse status identifiers such as servant keeping, household location and neighbourhood composition. These aspects of lifestyle are taken as signifying practices of middle-class affiliation and narratives of the social identification of professional accountants. The extent to which accountants achieved status through consumption practices is illustrated by comparisons with a range of other occupational groups and social classes in Victorian Britain

Exploring 360-Degree View of Customers for Lookalike Modeling

Lookalike models are based on the assumption that user similarity plays an important role towards product selling and enhancing the existing advertising campaigns from a very large user base. Challenges associated to these models reside on the heterogeneity of the user base and its sparsity. In this work, we propose a novel framework that unifies the customers different behaviors or features such as demographics, buying behaviors on different platforms, customer loyalty behaviors and build a lookalike model to improve customer targeting for Rakuten Group, Inc. Extensive experiments on real e-commerce and travel datasets demonstrate the effectiveness of our proposed lookalike model for user targeting task

Rio Bravo: A journal of borderlands 1996 v.5 no.1

Spatial Origins of San Antonio\u27s Mexican-Born Population / Richard C. Jones -- El lastre argumentative de caracter en el discurso fronterizo contra la pena de muerte / Arturo Zarate Ruiz -- The Impact of the 1994 Peso Devaluation on Texas Border Cities / J. Michael Patrick -- Effects of Acculturation on Diabetes Knowledge Among Mexican Americans in South Texas / Paul Villas, Sue G. Mottinger and Mary Rose -- Sociedad Urbana Y Espacio Religioso: Templos No Catolicos en la Zona Metropolitana de Monterrey / Jose Maria Infante and Victor Zuniga -- Review Between Two Worlds: Mexican Immigrants in the United States - Ed. David G. Gutierrez / Kelly F. Himmel.https://scholarworks.utrgv.edu/riobravojournal/1007/thumbnail.jp

Entrepreneurship, innovation and inequality : exploring territorial dynamics and development

The ongoing advances in technology have brought significant improvements in the processing speed and storage of large volumes of data. Tech-savvy organisations have already started using big data with a goal to improve their decision making, agility and customer-centric approaches. Today, many tourism marketers are hyper-targeting consumers with real-time mobile ad campaigns to drive conversions. They use analytics to identify how exogenous variables, including the broader economy, competitive offerings and even the weather can affect their organisational performance. Similarly, the smaller enterprises are economically gathering and storing data from each and every customer transaction. They use analytics to customise their offerings and improve their customer engagement. Therefore, this chapter builds on the previous theoretical underpinnings on smart tourism. It clarifies how smart, disruptive technologies have led to endless opportunities for tourism and hospitality marketers to gain a competitive advantage. It explains how they are leveraging themselves by utilising contemporary marketing strategies and tactics that are customer-focused. The researcher examines the use of big data, analytics, programmatic advertising and blockchain technologies in the realms of tourism and hospitality.peer-reviewe

Gold Mining and Unequal Exchange in Western Amazonia: A Theoretical Photo Essay

I combine fieldwork photography and ethnographic documentation of gold mining in Madre de Dios, Peru, to examine the localized material, social, environmental, and health outcomes of the global gold boom. This \u27theoretical photo essay’ examines how local and global forces coalesce around gold mining and influence peoples and environments in Western Amazonia. I use embodiment theory in anthropology, ecological economics, and theories of underdevelopment to understand local consequences of the global gold trade and to elucidate how opulence and the machinations of capital accumulation in economic centers of the world occur at the expense of human lives and environments in the hinterlands. Building on this analysis, I draw upon the Marxian concepts of mystification and fetishization to show how the rationale and language invoked in discourses about the gold boom in Madre de Dios work to obscure interconnections between the devastating local consequences of the global gold trade and the unequal economic global system of exchange that unevenly distributes profits and risks