scholarly journals PENGARUH KUALITAS JASA, NILAI PELANGGAN DAN CITRA MEREK TERHADAP KEPUASAN PELANGGAN (Pengguna Jasa Kurir Kantor Pos cabang Bogor)

2019 ◽  
Author(s):  
Rusliansyah
Keyword(s):  
Pos Data

Pada era informasi sekarang ini, alat komunikasi semakin berkembang dengan pesat dan memunculkan banyak inovasi baru dalam penggunaannya. Memasuki banyak perubahan pada era digital sekarang ini membuat perusahaan berlomba-lomba untuk meningkatkan layanan dan memenangkan hati pelanggan. Pos merupakan salah satu sarana komunikasi dan infomasi yang mempunyai suatu peran penting dan strategis dalam mendukung pelaksanaan pembangunan, serta meningkatkan hubungan antar bangsa dalam bentuk layanan pengiriman surat dan paket, logistik dan jasa keuangan.Tujuan dari penelitian ini adalah (1) untuk mengetahui dan menganalisis pengaruh Kualitas Jasa terhadap Kepuasan Pelanggan, (2) untuk mengetahui dan menganalisis pengaruh Nilai Pelanggan terhadap Kepuasan Pelanggan, dan (3) untuk mengatahui dan menganalisis pengaruh Citra Merek terhadap Kepuasan Pelanggan. Jumlah responden dalam penelitian ini berjumlah 100 responden yang diambil dari orang-orang yang sudah pernah menggunakan layanan jasa Pos. Data penelitian diolah menggunakan SPSS versi 22.Hasil dari penelitian ini sebagai berikut : (1) Kualitas Jasa berpengaruh negatif dan tidak signifikan terhadap Kepuasan Pelanggan dengan nilai t-hitung sebesar 0,937, lebih kecil dari t-tabel sebesar 1,984. (2) Nilai Pelanggan berpengaruh positif dan signifikan terhadap Kepuasan Pelanggan dengan nilai t-hitung sebesar 2,513 lebih besar dari t-tabel sebesar 1,984 dan, (3) Citra Merek berpengaruh positif dan signifikan terhadap Kepuasan Pelanggan dengan nilai t-hitung sebesar 4,775 lebih besar dari t-tabel sebesar 1,984.Kata Kunci : Kualitas Jasa, Nilai Pelanggan, Citra Merek, dan Layanan Jasa PT. Pos di Kota Bogor.

Study of Effectiveness of POS Data in Managing Supply Chain

2018 ◽  
Vol 11 (10) ◽  
Author(s):  
Mukesh Lal ◽  
Apratul Shukla ◽  
a tarangini
Keyword(s):  
Supply Chain ◽  
Pos Data

scholarly journals A queda do muro de Berlim: um estudo com fontes brasileiras

2010 ◽  
Vol 18 (37) ◽  
pp. 93-110
Author(s):  
Carlos Federico Domínguez Ávila
Keyword(s):  
Pos Data

O artigo explora os acontecimentos que resultaram na queda do muro de Berlim, bem como algumas das suas mais importantes conseqüências, inclusive no que diz respeito à reunificação alemã, em 1990. O texto utiliza prioritariamente fontes primárias resgatadas no Arquivo Histórico do Ministério das Relações Exteriores do Brasil - após vários anos de resguardo legal. Também são utilizadas fontes secundárias - isto é, literatura especializada na temática publicada no Brasil e no exterior. Analiticamente o artigo constata a transcendental relevância da queda do muro de Berlim e eventos subseqüentes, tanto na própria Alemanha, quanto na Europa e no mundo. Nessa linha, o texto alude ao colapso político e econômico da República Democrática da Alemanha (RDA), aos atores fundamentais que levaram ao esboroamento do muro, aos condicionantes domésticos, inter-alemães, europeus e globais que incidiram no processo de reunificação da nação alemã e aos dilemas específicos da cidade de Berlim no contexto geral da reunificação germânica. O trabalho inclui uma pós-data de novembro de 2009, em que se comenta brevemente as comemorações do vigésimo aniversário da queda do muro de Berlim.

scholarly journals ANALYSIS OF POS DATA IN RESTAURANT BUSINESS AND KITCHEN DESIGN

2009 ◽  
Vol 8 (3) ◽  
pp. 931-936
Author(s):  
Yoshiki ITO ◽  
Masato TAKAHASHI ◽  
Tsuyoshi OTANI
Keyword(s):  
Pos Data

Improving Service Processes Based on Visualization of Human-Behavior and POS Data: A Case Study in a Japanese Restaurant

2014 ◽  
pp. 3-13 ◽  
Author(s):  
Tomohiro Fukuhara ◽  
Ryuhei Tenmoku ◽  
Takashi Okuma ◽  
Ryoko Ueoka ◽  
Masanori Takehara ◽  
...  
Keyword(s):  
Human Behavior ◽  
Pos Data

Using POS Data for Price Promotions Evaluation

2011 ◽  
pp. 267-285
Author(s):  
Danijel Bratina ◽  
Armand Faganel
Keyword(s):  
Panel Data ◽  
Marketing Research ◽  
Sales Promotion ◽  
Communication Tool ◽  
Price Promotions ◽  
Obvious Effect ◽  
Consumer Panel ◽  
Pos Data ◽  
High Level ◽  
Analysis Models

Price promotions have been largely dealt with in the literature. Yet there are just a few generalizations made so far about this powerful marketing communication tool. The obvious effect, that all authors who have studied price promotions emphasize, is quantity increase during price promotions. Inference studies about the decomposition of the sales promotion bump do not converge to a generalization or a law, but end in radically different results. Most of these studies use consumer panel data, rich of demographical characteristics and consumers’ purchasing history. Companies that use such data, available from marketing research industry, usually complain that data is old and expensive. The authors start with literature review on price promotions in which they present existing models based on consumer panel data (Bell, et al., 1999; Mela, et al., 1998; Moriarty, 1985; Walters, 1991; Yeshin, 2006). Next they present existing POS analysis models and compare their findings to show the high level of heterogeneity among results. All existing models are based on powerful databases provided by professional research institutions (i.e. Nielsen or IRI) that usually cover the whole market for the analysed brand category geographically. The authors next apply existing models to find which best suits data available for Slovenian FMCG market. They show two models analysis – quantity (SCAN*PRO) and market share (MCI) and their power for explanatory and forecasting research using POS data. Having dealt with more than 30 brand categories within a wider research, they conclude that the models developed are usable for a fast decision making process within a company, but their exploratory power is still poor compared to panel data.

scholarly journals POS Data and Your Demand Forecast

2013 ◽  
Vol 17 ◽  
pp. 8-13
Author(s):  
Jishan Zhu
Keyword(s):  
Demand Forecast ◽  
Pos Data

scholarly journals Development of a self-localization method using sensors on mobile devices

2014 ◽  
Vol XL-5 ◽  
pp. 237-242
Author(s):  
T. Fuse ◽  
K. Matsumoto
Keyword(s):  
Mobile Devices ◽  
Sensor Fusion ◽  
Mobile Device ◽  
High Performance ◽  
The Self ◽  
Feature Points ◽  
Exterior Orientation ◽  
Accuracy Improvement ◽  
Localization Method ◽  
Pos Data

Recently, development of high performance CPU, cameras and other sensors on mobile devises have been used for wide variety of applications. Most of the applications require self-localization of the mobile device. Since the self-localization is based on GPS, gyro sensor, acceleration meter and magnetic field sensor (called as POS) of low accuracy, the applications are limited. On the other hand, self-localization method using images have been developed, and the accuracy of the method is increasing. This paper develops the self-localization method using sensors, such as POS and cameras, on mobile devices simultaneously. The proposed method mainly consists of two parts: one is the accuracy improvement of POS data in itself by POS sensor fusion based on filtering theory, and another is development of self-localization method by integrating POS and camera. The proposed method combines all POS data by using Kalman filter in order to improve the accuracy of exterior orientation factors. The exterior orientation factors based on POS sensor fusion are used as initial value of ones in image-based self-localization method. The image-based selflocalization method consists of feature points extraction/tracking, coordinates estimation of the feature points, and orientation factors updates of the mobile device. The proposed method is applied to POS data and images taken in urban area. Through experiments with real data, the accuracy improvement by POS sensor fusion is confirmed. The proposed self-localization method with POS and camera make the accuracy more sophisticated by comparing with only POS sensor fusion.

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