Buku berjudul “Semua Tentang Merek” ini dimaksudkan untuk menambah perbendaharaan literatur pemasaran, khususnya tentang merek. Topik merek atau brand mungkin menjadi topik yang paling banyak dipilih untuk dikaji, dibahas, diteliti dalam penulisan karya ilmiah seperti skripsi, tesis, disertasi, dan artikel ilmiah. Buku ini diharapkan dapat membantu siapapun yang menjadikan merek sebagai topik penelitiannya, terutama mahasiswa yang sedang menyusun skripsi. Penulis menambahkan sebuah lampiran yang isinya memuat 27 kuesioner berbagai topik merek untuk memudahkan mahasiswa menyusun kuesioner penelitiannya. Dalam prakteknya, mahasiswa yang dibimbing penulis banyak yang mengalami kesulitan ketika menyusun pernyataan untuk kuesioner di skripsinya yang mengambil variabel penelitian merek. Jika kita membaca artikel di jurnal ilmiah ataupun di internet, topik merek yang menggunakan istilah brand image, brand awareness, brand equity, brand loyalty, dan sejenisnya sangat banyak, mungkin bisa lebih dari 40-an istilah. Setelah membaca berbagai referensi tentang merek, penulis menyajikan 6 istilah merek dalam 6 bab, mulai bab 1 sampai bab 6, dan 22 istilah merek lainnya dalam 1 bab yaitu bab 7. Dalam bab 7, setiap topik merek hanya dibahas singkat saja kurang lebih 1 halaman karena keterbatasan materi untuk setiap topik.
Buku berjudul “Semua Tentang Merek” ini dimaksudkan untuk menambah perbendaharaan literatur pemasaran, khususnya tentang merek.
Era globalisasi di mana lalu lintas perdagangan dapat merambah ke belahan dunia, para pelaku usaha dituntut untuk mengembangkan bisnisnya agar mampu bersaing dan mampu menembus negara lain. Dalam dunia bisnis terdapat model pengembangan bisnis dari luar (growth from outside), yaitu dengan melakukan akuisisi atau menggunakan merek milik pihak lain secara sah. Strategi ini terkadang lebih menguntungkan dibanding dengan menerapkan pengembangan produk baru (new product development) yang merupakan bagian dari model pengembangan bisnis dari dalam (growth from within). Waralaba, sebagai strategi pengembangan usaha dari luar, banyak dimanfaatkan oleh para pelaku usaha. Kondisi demikian sekaligus merupakan terobosan dalam berbisnis mengingat pada saat ini lapangan kerja terbatas, dan pemutusan hubungan kerja marak terjadi di banyak perusahaan.
Era globalisasi di mana lalu lintas perdagangan dapat merambah ke belahan dunia, para pelaku usaha dituntut untuk mengembangkan bisnisnya agar mampu bersaing dan mampu menembus negara lain.
Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Different big data technologies are introduced in many areas of banking right from mobile banking, revealing the signs of fraudulent happenings in internet banking, to the management of cash. These technologies contribute to a higher ...
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
that deposit competition will force banks to raise their own deposit interest rate, which will increase the cost and thus increase the ... Then we take the unbalanced data of 127 Chinese banks from 2011 to 2018 as the research samples.
This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and entrepreneurship are effective in resolving business, social, and economic problems. The book discusses how entrepreneurs use Big Data to cut costs and minimize the waste of time. It offers how using Big Data can increase efficiency, enables the studying of competitors, can improve the pricing of products, increase sales and loyalty, and can ensure the right people are hired. The book presents how decision-makers can make use of Big Data to resolve economic and social problems. Analyze the development of the economy and enhance the business climate. This book is for researchers, PhD students, and entrepreneurs and can also be of interest for transforming governments as well as businesses.
As a result, the finance, banking sector, and fintech sector within this scope have a rapid growth potential in terms of the future. 4.2.3 DIGITAL FINANCE The concept of digitalization has become a competence that changes, ...
This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.
income level as a considerable positive predictor of the customers' acceptance of Tele‐banking in Saudi Arabia. Likewise, according to Kolodinsky et al. [20], the adoption rate of Internet banking channels was observed to be in the ...
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.
using channels such as mobile apps or online banking, and they afterwards use this data for security and fraud-prevention processes. One of the processes is to identify relationships between customers and use them to verify posterior ...
Canada's most comprehensive textbook on public relations and marketing communications featuring 20 expert contributors.
Canada's most comprehensive textbook on public relations and marketing communications featuring 20 expert contributors.
