Search engine marketing is not all gold: Insights from Twitter and SEOClerks

Aswani, Reema; Kar, Arpan Kumar; Ilavarasan, P. Vigneswara; Dwivedi, Yogesh K.

doi:10.1016/j.ijinfomgt.2017.07.005

Cited by 194 publications

(77 citation statements)

References 73 publications

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“…Keberadaan situs tidak ada gunanya dibangun tanpa dikunjungi atau dikenal oleh masyarakat atau pengunjung internet. Publikasi, promosi dan iklan diperlukan untuk mengenalkan situs kepada target customer [13]. Publikasi situs dapat dilakukan dengan cara offline (seperti pamflet, selebaran, baliho dan lain-lain) tapi cara ini bisa dikatakan masih kurang efektif dan sangat terbatas.…”

Section: Nounclassified

Metode Systematic Literature Review untuk Identifikasi Platform dan Metode Pengembangan Sistem Informasi di Indonesia

Triandini

Jayanatha²,

Indrawan³

et al. 2019

Indonesian J. of Inf. Syst.

294

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Sistem informasi adalah cara-cara yang diorganisasi untuk mengumpulkan, memasukkan, mengolah, dan menyimpan data, serta untuk menyimpan, mengelola, mengendalikan, dan melaporkan informasi sedemikian rupa sehingga sebuah organisasi dapat mencapai tujuan yang telah ditetapkan. Pengembangan sistem informasi memiliki metode-metode yang beragam. Metode yang dapat digunakan untuk pengembangan sistem antara lain metode terstruktur dan berorientasi objek. Berdasarkan metode tersebut, suatu sistem akan dikembangkan untuk dapat dijalankan pada platform berbasis web, mobile, atau desktop. Saat ini belum diketahui berapa banyak sistem informasi yang dikembangkan oleh kedua metode tersebut, demikian juga belum diketahui juga berapa banyak aplikasi yang dijalankan oleh ketiga platform tersebut. Penelitian ini bertujuan untuk mengidentifikasi platform dan metode pengembangan sistem informasi di Indonesia yang datanya diperoleh dari jurnal yang terkait pada tahun 2013–2018. Metode yang digunakan dalam penelitian ini adalah Metode Systematic Literature Review (SLR). Metode SLR digunakan untuk mengidentifikasi, mengkaji, mengevaluasi, dan menafsirkan semua penelitian yang tersedia dengan bidang topik fenomena yang menarik, dengan pertanyaan penelitian tertentu yang relevan. Dengan penggunaan Metode SLR dapat dilakukan review dan identifikasi jurnal secara sistematis, yang pada setiap prosesnya mengikuti langkah-langkah atau protokol yang telah ditetapkan. Hasil penelitian menunjukkan bahwa platform yang dominan digunakan dalam pengembangan sistem informasi adalah berbasis website sedangkan metode dominan digunakan dalam menyelesaikan pengembangan sistem informasi adalah metode terstruktur.

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Section: Nounclassified

Metode Systematic Literature Review untuk Identifikasi Platform dan Metode Pengembangan Sistem Informasi di Indonesia

Triandini

Jayanatha²,

Indrawan³

et al. 2019

Indonesian J. of Inf. Syst.

294

View full text Add to dashboard Cite

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“…The results of the study show that the influence of advertising promotion strategies on customer loyalty in the modern market in Ciamis. When speaking of customers, the conditions are to make purchases or payments (Aswani, Kar, Ilavarasan, & Dwivedi, 2018;Shareef, Dwivedi, Kumar, & Kumar, 2017). But far from that, the behavior after making a purchase is a matter that is often noticed by companies, to find out the success of marketing strategies used (Alalwan, 2018;Dwivedi, Kapoor, & Chen, 2015).…”

Section: Resultsmentioning

confidence: 99%

Modern Market Customer Loyalty: Advertising Promotion Strategies

Budianto

Bastaman

Fauziyah

2019

JM-UIKA

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This study is focused on the relationship between advertising promotion strategies and customer loyalty in the modern market. This study seeks to explain the advertising promotion strategy if successfully carried out by the modern market, with the hope of creating loyal customers. This research was conducted on modern market customers in Ciamis. Ciamis is one of the regions in Indonesia, which is the same as other regions there are several modern markets with a variety of character of its customers. The study is based on the statements of several experts, which explain the customer relationship with various retail business promotion strategies. The model used in this study as an analysis tool is simple regression to illustrate how the relationship between advertising promotion strategies and customer loyalty. The results obtained are that there is an influence of advertising promotion strategies on customer loyalty, with the magnitude of influence is 27.5%, while as many as 22.5% are influenced by other factors not examined in this study

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“…Many researchers from their work have proved the potential of SMA across different academic disciplines and business domains. Prior work strongly shows that SMA can provide important insights around disciplines such as marketing [14], in deliberation on political [15] and social concerns [16], in emergency [17], for building public relation [18] or even ruling out possibility of polarization of any major event [19]. Social media platforms like Twitter can also help us to gain insights into any specific domain [20] or technology [21].…”

Section: Information Diffusion and Social Media Analyticsmentioning

confidence: 99%

Predicting Information Diffusion on Twitter a Deep Learning Neural Network Model Using Custom Weighted Word Features

Kushwaha

Kar

Ilavarasan

2020

Lecture Notes in Computer Science

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Researchers have been experimenting with various drivers of the diffusion rate like sentiment analysis which only considers the presence of certain words in a tweet. We theorize that the diffusion of particular content on Twitter can be driven by a sequence of nouns, adjectives, adverbs forming a sentence. We exhibit that the proposed approach is coherent with the intrinsic disposition of tweets to a common choice of words while constructing a sentence to express an opinion or sentiment. Through this paper, we propose a Custom Weighted Word Embedding (CWWE) to study the degree of diffusion of content (retweet on Twitter). Our framework first extracts the words, create a matrix of these words using the sequences in the tweet text. To this sequence matrix we further multiply custom weights basis the presence index in a sentence wherein higher weights are given if the impactful class of tokens/words like nouns, adjectives are used at the beginning of the sentence than at last. We then try to predict the possibility of diffusion of information using Long-Short Term Memory Deep Neural Network architecture, which in turn is further optimized on the accuracy and training execution time by a Convolutional Neural Network architecture. The results of the proposed CWWE are compared to a pre-trained glove word embedding. For experimentation, we created a corpus of size 230,000 tweets posted by more than 45,000 users in 6 months. Research experimentations reveal that using the proposed framework of Custom Weighted Word Embedding (CWWE) from the tweet there is a significant improvement in the overall accuracy of Deep Learning framework model in predicting information diffusion through tweets.

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Search engine marketing is not all gold: Insights from Twitter and SEOClerks

Cited by 194 publications

References 73 publications

Metode Systematic Literature Review untuk Identifikasi Platform dan Metode Pengembangan Sistem Informasi di Indonesia

Metode Systematic Literature Review untuk Identifikasi Platform dan Metode Pengembangan Sistem Informasi di Indonesia

Modern Market Customer Loyalty: Advertising Promotion Strategies

Predicting Information Diffusion on Twitter a Deep Learning Neural Network Model Using Custom Weighted Word Features

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