スマートフォン市場におけるロックイン戦略の検証 : Appleの成長戦略(1)

1.本研究とその背景 2.携帯電話機市場の動向 3.スマートフォン市場の急成長と矛盾 4.SamsungとAppleの生産戦略 5.PLCとその規範的概念モデル 6.Apple iPhoneとバースティングラウンチ 7.BL型PLCの競合製品への影響 次稿とその焦

POSISIONING DAN SEGMENTASI HANDPHONE DENGAN MENGGUNAKAN PENDEKATAN PEMETAAN PERSEPSI

The consumer’s perception in a product has a different from the company’s perception. The difference perception in a company will be appeared in the positioning and depends on segmentation’s product. The purpose of this research is to develop positioning and segmentation model based on the perception. If it perception can be mapped by the consumer and a company’s perception. Thus, these can be seen how positioning and segmentation’s product where these have different with the consumer to the company. It can be concluded that a company needs a reposition and segmentation to their product or not. The outcome of this target can be formed of consumer perception map to seven label phone. From this perception mapping will be able to be known how the positioning, segmentation, and consumer’s preference in a product. While from the research result which examined what perception mapping model that is produced appropriate with the objective conditions according to company. Therefore, it can be concluded what does the company needs repositioning or does not. The population  of this  research is  consumer  and  branch  manager  from  agency, distributor, and central selling market label such as Blackberry, Apple iphone, Nokia, Samsung, HTC, and Nexian in Semarang. Meanwhile, the approach that is used are descriptive analysis by using mapping perception method in graphic based on result analysis multi dimensional selling, and cluster analysis combine with descriptive analysis. The data is gotten by using mail survey to all respondent and deep interview to each respondent    Keywords : posisioning, segmentasi, preferensi, peta persepsi, handphon

POSISIONING DAN SEGMENTASI HANDPHONE DENGAN MENGGUNAKAN PENDEKATAN PEMETAAN PERSEPSI

The consumer’s perception in a product has a different from the company’s perception. The difference perception in a company will be appeared in the positioning and depends on segmentation’s product. The purpose of this research is to develop positioning and segmentation model based on the perception. If it perception can be mapped by the consumer and a company’s perception. Thus, these can be seen how positioning and segmentation’s product where these have different with the consumer to the company. It can be concluded that a company needs a reposition and segmentation to their product or not. The outcome of this target can be formed of consumer perception map to seven label phone. From this perception mapping will be able to be known how the positioning, segmentation, and consumer’s preference in a product. While from the research result which examined what perception mapping model that is produced appropriate with the objective conditions according to company. Therefore, it can be concluded what does the company needs repositioning or does not. The population  of this  research is  consumer  and  branch  manager  from  agency, distributor, and central selling market label such as Blackberry, Apple iphone, Nokia, Samsung, HTC, and Nexian in Semarang. Meanwhile, the approach that is used are descriptive analysis by using mapping perception method in graphic based on result analysis multi dimensional selling, and cluster analysis combine with descriptive analysis. The data is gotten by using mail survey to all respondent and deep interview to each respondent    Keywords : posisioning, segmentasi, preferensi, peta persepsi, handphon

Factors Leading to Brand Switching in Cellular Phones: A Case of Pakistan

The purpose of this study is to analyze those factors which influence brand switching in cellular phones in Karachi city. Now Pakistan has emerged as the fastest growing market in the world. Mobile phones are now becoming the necessity of life. Day-by-day competition is now becoming more complex among the well-known mobile phone companies. This study focuses on the dependent variable and independent variables as well. The dependent variable is brand switching while independent variables are BRAND IMAGE, PRODUCT PRICING AND PRODUCT FEATURES (camera resolution, RAM/ROM, touch screen and android version etc.). Consumer’s attitude and behavior towards any mobile brand and its feature is also examined through the questionnaires. The study reveals that by providing advanced features, reasonable pricing strategies and best brand image to customers, the mobile companies can control over brand switching and can retain their customers also. Keywords: Brand switching, cellular phones, technological impact, price, brand name, brand image.

Pengaruh Ekuitas Merek Terhadap Keputusan Membeli Smartphone Samsung Pada Mahasiswi Fakultas Dan Ilmu Sosial Universitas Sari Mutiara Indonesia

Dalam menghadapi persaingan perlu mempertimbangkan prmosi yang gencar dalam mempengaruhi konsumen mengambil keputusan. Dari sisi harga bahwa barang yang ditawarkan akan ditampilkan dalam bentuk yang inovatif harga dalammempengaruhi keputusan konsumen membeli. Perlu dilakukan panganan konflik dari konsumen yang menggunakan jasa perusahaan supaya dengan pasti konsumen mengetahui resiko yang terjadi. Pengaruh ekuitas merek terhadap keputusan membeli adalah Variabel ekuitas merek diperoleh nilai t hitung 9.114 lebih besar nilai t tabel sebesar 2.62802. Hasil perhitungan koefisien determinasi R Square yang diperoleh sebesar o,458. Hal ini berarti 45,8

2012年から2017年Q1 におけるAppleのiPhone開発アプローチ

1．はじめに 2．世界市場におけるAppleの出荷台数の推移 3．製品ラインナップとプライシング 4．商品性の矛盾 5．製品開発と部品調達のジレンマ 6．製品開発と業績のアンバランス 7．結

Data-driven design of intelligent wireless networks: an overview and tutorial

Data science or "data-driven research" is a research approach that uses real-life data to gain insight about the behavior of systems. It enables the analysis of small, simple as well as large and more complex systems in order to assess whether they function according to the intended design and as seen in simulation. Data science approaches have been successfully applied to analyze networked interactions in several research areas such as large-scale social networks, advanced business and healthcare processes. Wireless networks can exhibit unpredictable interactions between algorithms from multiple protocol layers, interactions between multiple devices, and hardware specific influences. These interactions can lead to a difference between real-world functioning and design time functioning. Data science methods can help to detect the actual behavior and possibly help to correct it. Data science is increasingly used in wireless research. To support data-driven research in wireless networks, this paper illustrates the step-by-step methodology that has to be applied to extract knowledge from raw data traces. To this end, the paper (i) clarifies when, why and how to use data science in wireless network research; (ii) provides a generic framework for applying data science in wireless networks; (iii) gives an overview of existing research papers that utilized data science approaches in wireless networks; (iv) illustrates the overall knowledge discovery process through an extensive example in which device types are identified based on their traffic patterns; (v) provides the reader the necessary datasets and scripts to go through the tutorial steps themselves