Explore the different types of media domestication using Roger Essay

Explore the different types of media domestication using Roger Silverstone's media domestication theory - Essay Example It allows for analysis in its economic, social, and sociological concerns. The approach to media domestication is a consideration of the practical as well as the symbolic dimensions for the adoption while using the necessary technologies. It shows how the elements of meanings of different things coupled with their respective materiality, have equal importance in the understanding of how technologies form part of daily life. It remains a consideration of the social theory through highlighting the various negotiations, control and power challenges, rule breaking, and making accompanying any introduction for technologies for different social settings (Silverstone, 2005). Such a domestication approach endures roots within the social studies of media use even though this is well informed through gender studies of household technology, everyday life sociology, innovation and consumption studies, which are widely considered the study components of the mass adoption in mobile phones, internet, and computers. As part of the technological approach towards an understanding of how media technologies come to be, domestication theory highlights the importance of innovation users with the works done through individuals and communities through making technology do practical work outside the standard intentions within the community. This work strand links to the responsibility end and lead users (Bilandzic, Patriarche & Traudt, 2012). In innovation processes, the domestication studies create a general institution through the use qualitative methods while the ethnography and long interviews explore the importance emerging technologies meanings and changing routine s that are usually not accessible to quantitative techniques. The domestication approach applies different concepts in distinguishing different prospects for the process. For instance, the appropriations process includes bringing technologies into households and local social contexts. However, the lead domestication

Talent Dry Cleaners Service Operational Challenges Case Study

Talent Dry Cleaners Service Operational Challenges - Case Study Example The business`s capacity utilization is 85.94% with an average turnaround time of 3-4 hours and it is a profitable as per the returns. The study will examine the challenges this business is currently experiencing and the possible solutions that have been drafted to counter such challenges. The understanding of such challenges will lead to appropriate recommendations that would help the company achieve the desired growth, goals, and objectives. Background This case study evaluates and analysis many perceptions in the service operation administration. It shows the business satiation of Patrick Eze who is trying so much to expand his business but he hardly got capital for the expansion and building of an institution to train dry cleaners. Problem Statement During the operation of the business, it took longer to register one client’s clothes. The company did not have a system of doing the registration hence wasting a lot of time in the registration of customers. Talent dry cleaners do not have strict payment tracks methods. The client is the one to decide when to pay either when dropping off or when picking the clothes. This can lead to wastage of resources because other clients can avoid paying their fees if strict laws of payment are not in place. The business has only two collection points. Moreover, it is not well marketed and the owner feels that there are needs to advertise his dry cleaner (Yelowitz, 2011). The dry cleaner has one dry-cleaning machine that takes five kilograms of garments and takes twelve minutes to wash. This is a long time and lead to time wastage. Therefore, the owner should buy a machine with a bigger capacity. The company is usually overwhelmed during peak season when there are many customers. Analysis The most essential solution towards the growth and development of this business is that the owner needs to notice that in small businesses, there need ensure that the level of hard work matches the complexity needed for the intended growth (Takaki, 2008). The owner did not consider this before the establishment of his business. Eze`s previous business had a well experienced manager who made the vital business decision that were essential for the success of his business. Eze has no experience in planning and handling business venture because prior to him starting the business, he did not take his time to study operational challenges he was likely to experience in running the business. Analysing from his background, Eze worked for fifteen years in his the previous employment; however, this did not equip him with strong management and leadership skills for successfully running a personal business. Notably, he only has basic skills for operating business since he no experience in marke ting that could have led to the growth of his small business. Additionally, he had no experience in planning large business ventures; thus, whenever he had a large number of customers, his problems increased (Takaki, 2008). Lack of experience and information are major problems in any business venture. Furthermore, poor planning usually leads to waste of time and this is experienced in the

Global Business Environment Case Study Example | Topics and Well Written Essays - 750 words

Global Business Environment - Case Study Example P&G started as a small soap and candle company started by William Proctor and James Gamble in the year 1837 in the Cincinnati United States now has 138,000 employees working in over 80 countries worldwide. The company’s products and services are available to consumers over 180 countries. The company maintains one of the strongest and largest portfolios of trusted brands.  The company markets nearly 300 well-known brands in consumer goods and more than 50 percent of its revenues are derived from foreign countries. Being the market leader in the FMCG market P&G has proved to be one of the aggressive marketers and the largest advertiser in the world. Extensive market research and the novel brand-management system are the unique strengths of the company (Proctor & Gamble).  The success of P&G largely depended on its business technique called ‘brand management’ which implied that the company will focus its attention on a product rather than on a business function. The technique involves a decentralized decision making. The company began its global expansion during the early 1990s when the top management felt the need for streamlining the brand management system. For carrying out a planned expansion the company established a ‘Global Strategic Planning Group’ consisting of 3-20 individuals for each of the product categories. This group was made responsible for developing policies covering global and local brands. The group was also empowered to make decisions concerning ‘brand strategy’ which needs to be standardized across the world markets. It also involved customizing the products according to local markets and customer requirements.  While developing the branding strategies was made the responsibility of the Global Strategic Planning Group the implementation of the strategies was entrusted to the ‘Global Category Team’. The Global Category Team is headed by an executive vice president who handles eac h of the product categories.

Emotions Personal Statement Example | Topics and Well Written Essays - 500 words

Emotions - Personal Statement Example The incidence is when I was attending a school annual function. I really wanted to have a nice view of the entire programme. I was in the audience, sitting in the first row with a relaxed temperament. I am a down- to - earth person I enjoy dances and songs but never wanted to be a part of the show. Things were going smooth and I was totally involved in the function. I was applauding my friends, cheering them for their actions, encouraging them for their performance. It was really a fun and frolic time for me and I became the part of the function. The emotional turmoil came when I was asked by the master of the festival to be present on the stage. I got the shock of my life. I was in a real fix, freeze as ice and was spell bound. Could not understand anything but heard my heart beats and could feel the blood gushing into my body with a much faster pace. I could not make a single move. It was like the whole world is spinning around me and everybody is giving me a fleeting look! I gathered all my lost courage and started a move to the stage with an emotional pressure that was pushing and at the same time pulling me. A battle was going on inside me, what to do What should I say How it happened Why me only Cursing myself why I was making so much fuss, praying to God Uttering.. "Please help me God.

Attitudes towards Christianity Essay Example | Topics and Well Written Essays - 750 words

Attitudes towards Christianity - Essay Example He has several incisive interpretations with regard to slaveholders’ religion. He described them as ‘allegedly Christians who have no worries about isolating and selling some of their own church members. He showcases different slavery styles practiced by native and European Americans. Â  Bibb presents an image of a man trapped between a dilemma of two worlds; a past of slavery and a freedom in the future that he was eagerly awaiting to be part of. Unlike other slave narratives, Henry Bibb showed the value of family through his relentless struggle for freedom. Â  Harriet Wilson uses her epigraph, ‘Our Nig’, to foreground images of blood, distress, crucifixion, and misery that the blacks experienced in the hands of their masters. Mrs. Wilson, unlike her fellow novelists of black origin within that particular decade, was able to underpin her materials a little more readily. This she did by taking a closer adherence to experiences which had details of pain and suffering. This epigraph showcases a horror of how the healthy body Frado is transformed to utmost liability from her toughest asset. She is beaten, tortured and even fractured just because her color was hated upon. Â  A bible (derived from a Latin word Biblia which means books) is made up of Christian scriptures which make up the books in the bible. These books are referred to as canons (a Greek word that refers to norms or rules). Canons contain only the authoritative books hence studied regularly during church sessions. Here the people are taught on the commandments and their importance to Christians. These commandments act as guidelines for the people maintaining a peaceful coexistence amongst them. These commandments are mostly derived from the old testament of the bible. Â  In Henry Bibb’s narrative, we learn that the slaveholders manipulated the scripture in the sense that it benefited them.

Method of data analysis Essay Example for Free

Method of data analysis Essay Thematic analysis was used to make meaningful deductions from the documented raw data. In thematic analysis, a concept is chosen for examination, and the analysis involves noting the frequency of its presence in the whole interview, and finding interrelations among the themes identified. The focus is at the occurrence of selected terms within a text or texts, although the terms may be implicit as well as explicit. While explicit terms obviously are easy to identify, coding for implicit terms and deciding their level of implication is complicated by the need to base judgments on a somewhat subjective system (Patton 2002). Simply put, the researcher read the documented surveys, and analyzed the inter-linkages of these responses. When responses are not explicit, inter-judge validation was used, with another researcher agreeing on the category under which the response may be grouped. The meaning and interpretation of each response was noted, and related to the organization’s overall profile. In this sense and taken as a holistic approach, the data from the chosen institution may be considered as a case study. Methodological Limitations The study also has methodological limitations. First, it did not make use of any other quantitative measure to study the phenomenon apart from qualitative procedure of thematic analysis (Patton 2002). Second, there was only one participant institution, Elfed and its responses may not be reflective of the population it represents (Zikmund 1997). It may be worth noting that the goal of the study is to generalize about the phenomenon across schools; thus, the use of participants from a cross-section of different learning institutions. Third, there were some time constraints on the part of both interviewer and interviewees, which may be a factor in the length of their responses or the duration of the interview. Had there been more time, more probing questions and more data may have been gathered. Moreover, since the study has been limited to an UK-based school, its conclusions may not be able to create a comprehensive generalization to other countries or regions. This is especially true when cultural and economic factors are taken into consideration. Biases in the responses may have occurred since the only source of primary data is the knowledge and perception of the interviewee. The respondent may not be so honest with their answers and express only what is socially desirable, especially because they were ‘carrying’ the name of their school. Logically, they would not want to put the school in a bad light. In addition, since the interviews were conducted at the place of work, the respondents may not be at ease in answering the questions. In effect, their responses may not be as candid or as honest (Denzin Lincoln 2000). Results and Discussion For this part of the study, the results gathered from both the interview and the focus group discussions will be presented in this part of the study. In addition to this, the results will be evaluated and examined with the literature presented in the review of related literature to gather any existing relationships or occurrences within the data gathered. For the first part of this section, the results of the focus group discussion will be presented and will be discussed.

Analysis of Tools for Data Cleaning and Quality Management

Analysis of Tools for Data Cleaning and Quality Management Data cleaning is needed in process of combining heterogeneous data sources with relation or tables in databases. Data cleaning or data cleansing or data scrubbing is defined as removing and detecting errors along with ambiguities existing in files, log tables. It is done with the aim to improve quality of data. Data quality and data cleaning are both related terms. Both are directly proportional to each other. If data is cleansed timely then quality of data will get improved day by day. There are various data cleaning tools that are freely available on net. The tools include Winpure Clean and Match, OpenRefine, Wrangler, Data cleaner and many more. The thesis presents information about WinPure Clean and Match data cleaning tool, its benefits and applications in running environment due to its three filtered mechanism of cleaning data. Its implementation has been done by taking user defined database and results are presented in this chapter. WinPure Clean and Match It is one of easiest and simplest three phase filtered cleaning tool to perform data cleansing and data de-duplication. It is designed in such a way that running this application saves time and money. The main benefit of this tool is that we can import two tables or lists at same time. The software uses fuzzy matching algorithm technique for performing powerful data de-duplication. The functions of this tool are as follows: Removes redundant data from databases in faster way. Correct misspellings and incorrect email addresses. It also converts words to uppercase or lowercase depending on user’s demand. Removes unwanted punctuation and spelling errors. Helps to relocate missing data and gives statistics in form of 3D chart. This option can be proven useful in finding population percentage of particular area. It automatically capitalizes first alphabet of every word. Advantages Increases accuracy and utilization of database (either professional database, user defined database or consumer database). Eliminate duplicity from databases using fuzzy matching de-duplication technique. Increases industry perspectives by using standard naming conventions with facility of removing duplicate data from original data. Export given file into various formats like access, excel(95), excel (2007), outlook systems etc. Applications The software is made for use from normal users to IT professionals. It is ideal for marketing, banking, universities and various IT organizations. Working of WinPure Clean and Match Clean and Match is made of three components- Data, Clean and Match. Data gives us imported list of tables. Clean option consists of seven modules each having different purposes. The clean section is basically used to analyze, clean, correct and correctly populate given table without removing duplicity. It has separate cleansing modules like Statistics Module, Case converter, Text cleaner, Column cleaner, E-mail cleaner, column splitter and column merger. Match section is used to detect duplicity using fuzzy matching de-duplication technique. WinPure Clean and Match contains a unique 3 step approach for finding duplications in given list or database. Step 1: The first step is to specify which table/s and columns you would like to use to search for possible duplications. Step 2: The second step is to specify which matching technique you would like to use either basic (telephone numbers, emails, etc) or advanced de-duplication with or without fuzzy matching (names, addresses, etc. Step 3: The final step is to specify which viewing screen you would like to use, WinPure Clean Match offers two unique viewing screens for managing the duplicated records. Limitations of WinPure Clean and Match (a) It has nothing to deal with connectivity and networking of dataset. It simply removes redundant words by cleaning and matching data. (b) It is not derived from any expert systems like Simile Longwell CSI and lacks client server terminology. (c) It means modifying/updating dataset is not possible once data is imported in tool. Google Refine Google refine overcomes the limitations of WinPure Clean and Match. It was earlier called as OpenRefine. It is powerful tool for working with dirty data and cleans, transforms data along with various services to link it to databases like Freebase. OpenRefine understands a variety of data file formats. Currently, it tries to guess the format based on the file extension. For example,.xmlfiles are of course in XML. By default, an unknown file extension is assumed to be either tab-separated value (TSV) or comma-separated value (CSV). Once imported, the data is stored in OpenRefines own format, and original data file is left undisturbed. Google Refine Architecture OpenRefine is a web application that is intended to be run on ones own machine and used by oneself. The machine has server as well as client side. The server-side maintains states of the data (undo/redo history, long-running processes, etc.) while the client-side maintains states of the user interface (facets and their selections, view pagination, etc.). The client-side makes GET and POST Ajax calls to modify and fetch data related information from server side. The architecture has come into existence from expert systems like Simile Long well CSI, a faceted browser for RDF data. It provides a good separation of concerns (data vs. Universal interface) and also makes it quick and easy to implement user interface features using familiar web technologies. Server-Side: It tells about modeling of data and storing it into given repository. Client-Side: It tells about building of GUI. Faceted Browsing: It is related to facets (text, column). It tells how to use facets in browsing data. Reconciliation Service API: It describes a standard reconciliation service structure. 5.6. Using Data Quality Services in connecting databases This section is to provide high quality data by introducing data quality services (DQS) in Microsoft SQL Server. The data-quality solution provided by Data Quality Services (DQS) enables an IT professional to maintain the quality of their data and ensure that the data is suited for its business usage. DQS is a knowledge-driven solution that provides both computer-assisted and interactive ways to manage the integrity and quality of your data sources. DQS enables you to discover, build, and manage knowledge about your data. You can then use that knowledge to perform data cleansing, matching, and profiling.It is based on building of knowledge base or test bed to identify the quality of data as well as correcting bad quality of data. Data Quality Services is a very important concept of SQL Server. Utilisation of data cleaning and quality phases The process of data cleaning starts from the starting phase when user chooses data from random dataset from internet or some books. A framework showing utility of these processes is described below in form of sequential steps listed below: Step 1) Choose random dataset Step 2) Shorten it as per user requirements Step 3) Find whether data contains dirty bits or not. Step 4) Cleanse data by testing it on application platforms like WinPure Clean and Match and Google Refine. Step 5) Then the task of creating high quality data is initiated. Step 6) Connect refined database with SQL server. Step7) Install Data Quality Services (DQS). Step 8) Knowledge base is built through DQS interface. Step 9) After building database, process of knowledge discovery has been started. Step 10) In knowledge discovery process, normalization of string values has been done to replace incorrect spellings and errors. Step 11) It leads to production of high quality data by removing dirty bits of data. Shortcomings of the existing tools WinPure Clean and Match simply clean data by removing redundant words. It does not give information about synonyms and homophones. This data cleaning tool produces moderate correctness level. The tool only gives details of incorrect words and matched words instead of removing similar words. It leads to wastage of memory and less accuracy. Data Quality Services (DQS) is somewhat complex for non technical users. A normal person cannot use this quality software without having knowledge of databases. DQS improves data quality with human intervention. If user selects correct spelling of given word, then DQS approves it else reject it. There is no automatic system for detection of strings and synonyms. One has to create set up of SQL in machine to use it. Both tools work syntactically rather than semantically. That is the reason they are unable to find synonyms. These tools corrects given data according to predefined syntaxes like spelling errors, omitting commas etc. Keeping the above shortcomings in consideration, the study has proposed data cleaning algorithm by using String detection Matching technique via WordNet.