Design of full-link digital marketing in business intelligence era with computer software Edraw Max

Author(s):  
Xi Luo
Author(s):  
Elias Cunha Bitencourt ◽  
Grégori da Costa Castelhano ◽  
Catarina Lopes

This research focuses on an emerging influencer category called CGI influencers. CGI influencers are fictional characters created with computer modeling techniques that have profiles on social networks and sociomaterial trajectories built with the aid of digital marketing, business intelligence and media companies. As an empirical object, we chose Lil Miquela - "the robot influencer", one of the most successful examples of this genre of micro celebrity on Instagram. Our main goal was to map the ways in which Miquela acts on Instagram and to find traces that allow us to explore better the interrelationship between the strategies adopted by Miquela's creators team and her appropriations of Instagram affordances that shapes the ways in which she acts both as a fictional character and as a digital influencer. We extracted 1089 posts available in Miquela’s feed up to June 2021and used content analysis and mixed digital methods techniques to explore the data. We observed three ways of acting (practices) that are characteristic of Miquela and operate interdependently: (a) The Fictional Character, (b) The Experiment and (c) The Influencer. These findings could suggest that the three versions of Miquela act as an experimental model of what we here call “influencer-laboratories”: a type of digital influencer for which the influencer itself acts as a controlled experiment used to investigate which sociomaterial arrangements create conditions that favor the production of online influence on digital platforms.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Klaus Solberg Søilen

Advancement in the intelligence field can only be achieved through new observations and the presentation of new empirical data. This is a continuous process and includes how we as employees engage with software and technical solutions. Just as it is impossible to teach or learn anything in marketing today without a deep understanding of digital marketing, in the same way is it impossible to make advancements in intelligence studies without first-hand experience with business intelligence software and new IT-equipment. Management and IT have indeed merged. This understanding has been an integrated part of JISIB since the journal started some eight years ago. And as always, we are less interested in how new technologies are developed (for that there are excellent technical journals) than about the management practice of these developments.  This issue follows very much on this track. 


2021 ◽  
Vol 32 (2) ◽  
pp. 108-127
Author(s):  
Fabienne Berger-Remy ◽  
Marie-Eve Laporte ◽  
Isabelle Aimé

For most companies, digital transformation is at the top of the agenda. This article digs into the tensions faced by the marketing organization, which, along with other departments dealing with business intelligence, is particularly affected by the ongoing digital transformation. The goal of this research, which builds on the theory of paradox, is to explore how and to what extent these tensions produce changes inside large marketing organizations, which, in turn, leads to potential reconfigurations. A qualitative thematic study was conducted. It included 16 in-depth interviews with high-level internal and external consultants and data collected at 12 conferences. The findings show that the digital transformation of marketing is leading to unprecedented complexity. More specifically, they show the tensions resulting in three paradoxes: a learning paradox (the combination of traditional and digital marketing skills), an organizing paradox (both expertise and a holistic view), and a performing paradox (both customer and brand centricity). The findings also highlight the resolution strategies that these organizations adopt as they attempt to respond to these paradoxes. On this basis, different possible scenarios emerge and are discussed regarding the reconfiguration of the marketing organization.


2020 ◽  
Vol 8 (6) ◽  
pp. 1239-1244

India's Micro, Small, and Medium Enterprises (MSMEs) base is the biggest on the planet after China. According to the official appraisals, there are about 63.05 million miniaturized scale businesses, 0.33 million little, and around 5,000 medium undertakings in the nation. The Micro, Small and Medium Enterprises (MSME) part is a profoundly lively and dynamic segment of the Indian economy. It contributes in the financial and social advancement of the nation. MSMEs are encouraging enterprise and creating biggest work openings at relatively lower capital expense, next just to farming. Presently, MSMEs are worked in practically all significant segments in the Indian business, for example, Food Processing, Textiles and articles of clothing, Agricultural data sources, Leather and cowhide merchandise, Sports merchandise, Plastic items, Electro-restorative gear, Computer Software and so on. SMEs assume a crucial job in Indian Economy with their commitment in modern yield, fares, business and creation for Indian and worldwide market. This paper centers on existing advertising media for SMEs in administrations division and searches for extent of internet promoting. With the range of time online media has gain significance in showcasing and it very well may be a perfect mechanism for SMEs accomplishment in promoting. Online media permits securing, sustaining and gathering prompts draw in with them dependent on referrals and proposals. Specialists have likewise indicated that web based showcasing is savvy and aides in widen and oversee client database for SMEs. As Digital Marketing gives colossal advantages to the business, MSMEs is likewise the territory which can get or benefit this stage for offering pace to their advancement. The following are the two motives for doing research in this area. First one is Digital Marketing is a fruitful idea for huge brands in India, what is the impact on neighborhood and little brands in little urban communities? And the second one is what devices and parts ought to be utilized by these nearby and little brands to completely abuse the Digital Marketing?


Author(s):  
G.Y. Fan ◽  
J.M. Cowley

In recent developments, the ASU HB5 has been modified so that the timing, positioning, and scanning of the finely focused electron probe can be entirely controlled by a host computer. This made the asynchronized handshake possible between the HB5 STEM and the image processing system which consists of host computer (PDP 11/34), DeAnza image processor (IP 5000) which is interfaced with a low-light level TV camera, array processor (AP 400) and various peripheral devices. This greatly facilitates the pattern recognition technique initiated by Monosmith and Cowley. Software called NANHB5 is under development which, instead of employing a set of photo-diodes to detect strong spots on a TV screen, uses various software techniques including on-line fast Fourier transform (FFT) to recognize patterns of greater complexity, taking advantage of the sophistication of our image processing system and the flexibility of computer software.


Author(s):  
F.A. Ponce ◽  
H. Hikashi

The determination of the atomic positions from HRTEM micrographs is only possible if the optical parameters are known to a certain accuracy, and reliable through-focus series are available to match the experimental images with calculated images of possible atomic models. The main limitation in interpreting images at the atomic level is the knowledge of the optical parameters such as beam alignment, astigmatism correction and defocus value. Under ordinary conditions, the uncertainty in these values is sufficiently large to prevent the accurate determination of the atomic positions. Therefore, in order to achieve the resolution power of the microscope (under 0.2nm) it is necessary to take extraordinary measures. The use of on line computers has been proposed [e.g.: 2-5] and used with certain amount of success.We have built a system that can perform operations in the range of one frame stored and analyzed per second. A schematic diagram of the system is shown in figure 1. A JEOL 4000EX microscope equipped with an external computer interface is directly linked to a SUN-3 computer. All electrical parameters in the microscope can be changed via this interface by the use of a set of commands. The image is received from a video camera. A commercial image processor improves the signal-to-noise ratio by recursively averaging with a time constant, usually set at 0.25 sec. The computer software is based on a multi-window system and is entirely mouse-driven. All operations can be performed by clicking the mouse on the appropiate windows and buttons. This capability leads to extreme friendliness, ease of operation, and high operator speeds. Image analysis can be done in various ways. Here, we have measured the image contrast and used it to optimize certain parameters. The system is designed to have instant access to: (a) x- and y- alignment coils, (b) x- and y- astigmatism correction coils, and (c) objective lens current. The algorithm is shown in figure 2. Figure 3 shows an example taken from a thin CdTe crystal. The image contrast is displayed for changing objective lens current (defocus value). The display is calibrated in angstroms. Images are stored on the disk and are accessible by clicking the data points in the graph. Some of the frame-store images are displayed in Fig. 4.


1997 ◽  
Vol 6 (3) ◽  
pp. 57-65 ◽  
Author(s):  
Lisa A. Wood ◽  
Joan L. Rankin ◽  
David R. Beukelman

Word prompt programs are computer software programs or program features that are used in addition to basic word processing. These programs provide word lists from which a user selects a desired word and inserts it into a line of text. This software is used to support individuals with severe speech, physical, and learning disabilities. This tutorial describes the features of a variety of word prompt programs and reviews the current literature on the use of these programs by people with oral and written language needs. In addition, a matrix that identifies the features contained in eight sample word prompt programs is provided. The descriptions of features and the matrix are designed to assist speech-language pathologists and teachers in evaluating and selecting word prompt programs to support their clients' oral and written communication.


Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.


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