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1 – 10 of over 167000The ‘Office of the Future’, ‘Office Technology’, ‘Word Processing’, ‘Electronic Mail’, ‘Electronic Communications’, ‘Convergence’, ‘Information Management’. These are all terms…
Abstract
The ‘Office of the Future’, ‘Office Technology’, ‘Word Processing’, ‘Electronic Mail’, ‘Electronic Communications’, ‘Convergence’, ‘Information Management’. These are all terms included in the current list of buzz words used to describe current activities in the office technology area. Open the pages of almost any journal or periodical today and you will probably find an article or some reference to one or more of the above subjects. Long, detailed and highly technical theses are appearing on new techniques to automate and revolutionize the office environment. Facts and figures are quoted ad nauseam on the high current cost of writing a letter, filing letters, memos, reports and documents, trying to communicate with someone by telephone or other telecommunication means and, most significant of all, the high cost of people undertaking these never‐ending tasks. The high level of investment in factories and plants and the ever‐increasing fight to improve productivity by automating the dull, routine jobs are usually quoted and compared with the extremely low investment in improving and automating the equally tedious routine jobs in the office environment; the investment in the factory is quoted as being ten times greater per employee than in the office. This, however, is changing rapidly and investment on a large scale is already taking place in many areas as present‐day inflation bites hard, forcing many companies and organizations to take a much closer look at their office operations.
Everyone here tonight must be aware by now that we have entered a new, technological era—in fact, a second industrial revolution. If you are not aware of the new developments…
Abstract
Everyone here tonight must be aware by now that we have entered a new, technological era—in fact, a second industrial revolution. If you are not aware of the new developments taking place you are either blind, deaf—or, even worse,—either not interested or of the opinion that it does not affect you personally. Either of the latter points can be fatal! Anyone who feels that they are not involved is going to become the Twentieth Century equivalent of the Dodo and anyone who is not interested in new technology is not, in my view, worthy of being called a professional—whatever his profession may be!
This paper is an appraisal of the current word processing scene as it could apply to librarians and information workers. Some of the problems that are arising due to the…
Abstract
This paper is an appraisal of the current word processing scene as it could apply to librarians and information workers. Some of the problems that are arising due to the introduction or proposed introduction of new technology are described and the concept of evolution rather than revolution is strongly proposed. A description of the systems available and the applications which could be of use to the profession are highlighted. The problems of acquiring equipment and, particularly, the choice some people are having to make between word processors and microcomputers is covered in some detail.
R.V. ShabbirHusain, Atul Arun Pathak, Shabana Chandrasekaran and Balamurugan Annamalai
This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.
Abstract
Purpose
This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.
Design/methodology/approach
A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.
Findings
This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.
Research limitations/implications
The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.
Practical implications
The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.
Originality/value
The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.
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Keywords
Penelope A. Yates‐Mercer and Ailsa A.S. Bracegirdle
Screen‐based word processors have been available all through the 1970s, although widespread interest and use dates from about 1975. Conventional offices, generating and…
Abstract
Screen‐based word processors have been available all through the 1970s, although widespread interest and use dates from about 1975. Conventional offices, generating and manipulating many thousands of words, started to take advantage of the features word processors offer on a much wider scale than they had ever done with their forerunners, the automatic typewriters. Libraries and information departments who were concerned primarily with the already printed and published word were rather slower to realise that they too generated a relatively large number of words in their own right and that these words, in the form of, for example, catalogue cards, accessions lists, abstracts, bibliographies, reports and so on, could perhaps be handled more beneficially by word processors. However, once it began, interest grew rapidly, although actual installation of equipment has been considerably slower—probably a reflection of the limited budgets frequently allocated to such services for the purchase of technological aids.
Jennifer Ball and Muna Kashoob
Most teachers in the Gulf would agree that Arab learners struggle more with reading and writing than listening and speaking. One little considered possible influence on this is…
Abstract
Most teachers in the Gulf would agree that Arab learners struggle more with reading and writing than listening and speaking. One little considered possible influence on this is the particular visual processing requirements of English. This article suggests why visual processing or visual cognition might be a particular difficulty for Arab students reading English. It offers a simple classroom checklist that may assist teachers to notice if visual processing strain could be effecting their student’s attention, motivation and performance.
Lei Liu, Shaohui Wu and Guoliang Cai
Product presentation plays a critical role in influencing consumers’ purchasing decisions in online shopping. The purpose of this study is to examine the effects of text-image…
Abstract
Purpose
Product presentation plays a critical role in influencing consumers’ purchasing decisions in online shopping. The purpose of this study is to examine the effects of text-image information on online product presentation pages on sales. This study also specifically explores the moderating role of celebrity endorsements in the relationship between text-image presentation information and sales.
Design/methodology/approach
This study is based on regression analysis using data sets from the largest online book retailer in China, Dangdang.com.
Findings
The results of this study show that there is an inverse U-shaped relationship between word count and book sales. Conversely, image quantity has a positive linear effect on book sales. Furthermore, celebrity endorsements moderate the relationship between word count and sales in two distinct ways. First, the positive effect of increasing word count from low to medium is enlarged by increasing the number of celebrity endorsers. Second, the turning point of the inverse-U relationship between word count and sales rank moves to the right as the number of endorsers increases.
Originality/value
To the best of the authors’ knowledge, this study is among the first to examine the effects of text-image quantity on sales across the full continuum. This study adds understanding on how information load might have distinct consequences on the processing performance of text and images. Furthermore, this study investigates how sales are impacted by the quantity of celebrity endorsers in relation to textual and pictorial information in online shopping contexts, extending our knowledge of the effectiveness of celebrity endorsements.
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Keywords
Internet has endorsed a tremendous change with the advancement of the new technologies. The change has made the users of the internet to make comments regarding the service or…
Abstract
Purpose
Internet has endorsed a tremendous change with the advancement of the new technologies. The change has made the users of the internet to make comments regarding the service or product. The Sentiment classification is the process of analyzing the reviews for helping the user to decide whether to purchase the product or not.
Design/methodology/approach
A rider feedback artificial tree optimization-enabled deep recurrent neural networks (RFATO-enabled deep RNN) is developed for the effective classification of sentiments into various grades. The proposed RFATO algorithm is modeled by integrating the feedback artificial tree (FAT) algorithm in the rider optimization algorithm (ROA), which is used for training the deep RNN classifier for the classification of sentiments in the review data. The pre-processing is performed by the stemming and the stop word removal process for removing the redundancy for smoother processing of the data. The features including the sentiwordnet-based features, a variant of term frequency-inverse document frequency (TF-IDF) features and spam words-based features are extracted from the review data to form the feature vector. Feature fusion is performed based on the entropy of the features that are extracted. The metrics employed for the evaluation in the proposed RFATO algorithm are accuracy, sensitivity, and specificity.
Findings
By using the proposed RFATO algorithm, the evaluation metrics such as accuracy, sensitivity and specificity are maximized when compared to the existing algorithms.
Originality/value
The proposed RFATO algorithm is modeled by integrating the FAT algorithm in the ROA, which is used for training the deep RNN classifier for the classification of sentiments in the review data. The pre-processing is performed by the stemming and the stop word removal process for removing the redundancy for smoother processing of the data. The features including the sentiwordnet-based features, a variant of TF-IDF features and spam words-based features are extracted from the review data to form the feature vector. Feature fusion is performed based on the entropy of the features that are extracted.
Details
Keywords
Bruce A. Huhmann and Pia A. Albinsson
Rhetorical works (schemes and tropes) can increase advertisement liking. Because liking impacts advertising effectiveness, this study aims to investigate if positive processing…
Abstract
Purpose
Rhetorical works (schemes and tropes) can increase advertisement liking. Because liking impacts advertising effectiveness, this study aims to investigate if positive processing, brand awareness, and persuasion outcomes previously associated with rhetoric are spurious and chiefly attributable to liking.
Design/methodology/approach
An experiment (n=448) employed natural advertising exposure conditions and a 3 (headline: nonfigurative, scheme, trope)×2 (copy length: long, moderate)×2 (involvement: high, low) between‐subjects factorial design.
Findings
Absent of liking differences, schemes and tropes are robust motivators of available resources devoted to processing (elaboration and readership). Favourable arguments only influence brand awareness and persuasion if processed. Consumers negatively view longer copy. Nonfigurative headlines encourage insufficient processing as copy lengthens. Insufficient processing decreases brand awareness and persuasion. However, schemes and tropes overcome negative copy length effects on brand awareness and persuasion regardless of involvement.
Research limitations/implications
Without the benefit of increased liking, schemes interfere with copy point and brand memory similar to other creative attention‐getters – humour and sex appeals. Instead, schemes focus consumers on advertising style. The results are based on consumer responses; thus, error may make differences harder to detect. Another limitation is the focus on a single low‐risk, informational product, i.e. pens. Future research should investigate effects of rhetorical works with high‐risk and transformative products.
Practical implications
Advertisers should use rhetorical works to motivate processing, especially with longer copy explaining advantages of new, technical, or complex products. Also, effective rhetorical works need not create positive affect.
Originality/value
Isolating advertising rhetoric effects from liking differences explains anomalies in the literature (e.g. scheme versus trope superiority).
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Nael Alqtati, Jonathan A.J. Wilson and Varuna De Silva
This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and marketing…
Abstract
Purpose
This paper aims to equip professionals and researchers in the fields of advertising, branding, public relations, marketing communications, social media analytics and marketing with a simple, effective and dynamic means of evaluating consumer behavioural sentiments and engagement through Arabic language and script, in vivo.
Design/methodology/approach
Using quantitative and qualitative situational linguistic analyses of Classical Arabic, found in Quranic and religious texts scripts; Modern Standard Arabic, which is commonly used in formal Arabic channels; and dialectical Arabic, which varies hugely from one Arabic country to another: this study analyses rich marketing and consumer messages (tweets) – as a basis for developing an Arabic language social media methodological tool.
Findings
Despite the popularity of Arabic language communication on social media platforms across geographies, currently, comprehensive language processing toolkits for analysing Arabic social media conversations have limitations and require further development. Furthermore, due to its unique morphology, developing text understanding capabilities specific to the Arabic language poses challenges.
Practical implications
This study demonstrates the application and effectiveness of the proposed methodology on a random sample of Twitter data from Arabic-speaking regions. Furthermore, as Arabic is the language of Islam, the study is of particular importance to Islamic and Muslim geographies, markets and marketing.
Social implications
The findings suggest that the proposed methodology has a wider potential beyond the data set and health-care sector analysed, and therefore, can be applied to further markets, social media platforms and consumer segments.
Originality/value
To remedy these gaps, this study presents a new methodology and analytical approach to investigating Arabic language social media conversations, which brings together a multidisciplinary knowledge of technology, data science and marketing communications.
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