Effective Customer Relationship Management: A Key to Success for Banks

Generally, consumers do not change their banks unless serious problems occur. The philosophy, culture and organization of financial institutions were grounded in this assumption and reflected in their marketing policies, which were product and transaction-oriented, reactionary, focused on discrete rather than continuous activities. With the advent of new technologies in the business of bank, such as Internet Banking and ATMs, now customers can freely choose any bank for their transactions. The pressures of competitive and dynamic markets have contributed to the growth of CRM in the Financial Services Sector. Also, before the Internet revolution, consumers largely selected their banks based on how convenient the location of bank's branches was to their homes or offices. With the advent of new technologies in the business of bank, such as Internet banking and ATMs, now customers can freely choose any bank for their transactions. Thus, the customer base of banks has increased, and so has the choices of customers for selecting the banks.

A Resource-aware Container Management Scheme in a Heterogeneous Cluster

Cloud computing nowadays is not an emerging topic, and virtualization is an indispensable technology to expedite cloud computing to become the next sign of the coming Internet revolution. In real life, scientists never stop at exploring the possibilities from such technology by investigating millions of experiments and applications to enhance the quality of virtual services. However, isolated construction for the virtual machine doesn’t save the technology from unwanted data volumes or insensitive processing time. Containers are created to address such problems, by distributing applications without initiating the entire virtual machine. Docker, as an important player in this game, is an open-source application of the container family. The management tool from Docker containers, Swamskit, does not take heterogeneities in either virtualized containers or physical nodes. There are different nodes in the cluster, and each node is different in configurations, resource availability, or concerning resource, etc. Furthermore, the requirements initiated by different services change all the time. The demand might be CPU-intensive (e.g. Clustering services) and also memory-intensive (e.g. Web services), or completely at the opposite. In this paper, we focus on exploring the Docker container cluster and designing, DRAPS, a resource-aware placement scheme, to improve the system performance in a heterogeneous cluster.

Internet User and Income Consumption in an Effort to Empower MSMEs in Indonesia

This study aims to observe the growth impetus for internet users towards public consumption which further boosts people's income in Indonesia. To achieve this objective, data on internet user behaviour, consumption and GDP per capita were observed. This study uses the Quantitative Threshold Autoregressive method which is used to predict the behaviour of the data so that the relationship behaviour between the data can be seen. The hope is that knowing past behaviour data can be an indicator of decisions that can be taken in the future. All data are secondary data from world banks.We found that Internet users are the total internet users in Indonesia who are able to boost people's income as indicated by GDP per capita. Where the internet users' impulse towards consumption is very strong. This indicates a massive growth in business lines as a result of the Internet revolution in Indonesia, namely trading businesses that involve digital technology.

Evaluation Of The Efficacy Of Iot Deployment On Petro-Retail Operations

After the Internet revolution, Internet of Things (IoT) is expected to be the next big technological change, connecting equipment as well as everyday objects to help businesses explore new ways of creating and delivering value. In the Oil & Gas industry context, IoT has been deployed extensively in the upstream sector and also to some extent in the mid-stream sector. However, it’s implementation in the downstream (retail) sector has been limited. This paper explores the applicability and impact of deploying an IoT solution at a fuel retail outlet. In our experiment, a live outlet was chosen in Kolkata, where a limited IoT solution was deployed, for a period of 3 months. Our research shows that IoT implementation can yield significant operational benefits by reducing the response times, leading to increased operational uptime and hence sales. It can also help improve the root cause analysis process by providing increased data to identify the issue(s).

Can the concept of “lean management” be applied to academic recruitment? – a quasi-theoretical discourse

Purpose This paper seeks to emphasise the need to re-evaluate university teacher recruitment processes. The implementation of lean processes helps to improve organisational practices; in the case of university recruitment, however, organisational processes have remained unchanged for decades. Although there is a traditional justification for having academic recruitment as a rigorous and complex process (as a practiced method by which to identify the most suitable applicants), the increase of competition across the sector, and the internet revolution, has rendered these older methods partially ineffective. The author argues that recruitment systems and practices need reviewing to overhaul inefficacious elements. Design/methodology/approach This is a quasi-literature discourse combined with the author’s experience in human resources management teaching and recruitment expertise at the Higher Education level. Findings Lean approach if successfully introduced to academic recruitment might reduce the effect of discouraged job seekers paradox and workload on human resources (HR) officers. Research limitations/implications The volume of studies reviewed is limited, and therefore, more empirical findings are required in the area of lean recruitment. Practical implications HR departments of universities might consider practices that will improve the recruitment process and promote labour force participation. Originality/value According to the author’s knowledge, lean concept has been applied to HR (recruitment) for the first time in this study.

DEVELOPMENT AND PERSPECTIVES OF DIGITAL ECONOMY IN THE REPUBLIC OF SERBIA

The Internet revolution is driving new advances in the digital economy. The new economy must harmonize traditional and modern approaches to the economy in order to respond to the challenge of managing the country based on monitoring technological change and innovation. The digital economy is considered to be the key to solving a large number of social, economic, and other problems in society, as well as to achieving sustainable development and economic growth of the national economy. The evolution of information and communication technology on which the digital economy is based is an essential factor in ensuring labour productivity and economic growth. The main goal of this paper is to present the digital economy in the Republic of Serbia as a possible chance and opportunity for the realization of which it is necessary to establish a new business model, as well as to determine the relationship between the achieved level of digital development and economic development.

Implementing the RECONAC Marketing Strategy for the Interaction and Brand Adoption of Peruvian University Students

In marketing, there is a notable lack of models, which leads to the loss of potential customers since there is no feedback for improvement in the marketing strategy. In the face of the Internet revolution, this study used digital channels and interaction to achieve potential customer retention through a Funnel; this allowed a potential client to go through the acquisition, conversion, and retention stages. In addition, activities were developed that allow the potential user to become a retained client. Thus, considering the stages of a marketing strategy, a non-probabilistic sample was used, composed of a pre-test period with 1088 users and a post-test period with 1450 users. Overall, there was a significant improvement in the time a client remained observing the website per session, with a 20.6% efficiency; furthermore, there was a 36.25% efficiency increase of the user conversion process per session in the digital channel. Likewise, a 46.43% efficiency increase was measured in visits to the digital channel, which confirms that the proposed marketing strategy significantly improves previous marketing strategies. Therefore, it is concluded that the proposal based on the elements of insight aligned with the measurement proposed by Google Analytics Key Performance Indicators, which was used to test and observe the improvements to continue the feedback, taking advantage of the characteristic of the digital channel with its two-way participation.

Real-Time Problems to Be Solved by the Combination of IoT, Big Data, and Cloud Technologies

With the advancement of computation power and internet revolution, IoT, big data, and cloud computing have become the most prevalent technologies in present time. Convergence of these three technologies has led to the development of new opportunities and applications which solve the real time problems in the most efficient way. Though cloud computing and big data have an inherent connection between them, IoT plays a major role of a data source unit. With the explosion of data, cloud computing is playing a significant role in the storage and management. However, the main concern that accompanies IoT are the issues related to privacy, security, power efficiency, computational complexities, etc. Misinterpretation of data and security limitations are the bottlenecks of big data whereas the limitations of cloud computing involve network connection dependency, limited features, technical issues, and security. The chapter considers use cases to address their real time problems and discusses about how to solve these issues by combining these technologies.

Internet of Things in Healthcare as an Innovative Form of Personalized Medicine

Internet of things is a significant advancement in the big data era, which supports many real-time engineering applications through enhanced services. Generally, the next Internet revolution will be the interconnection between everyday existing objects in order to create a smart grid and intelligent environment. The future application of technology in health care will lead to the creation of an entirely new level of personalized, digital health care, where everyone is responsible for monitoring their own health and the quality of their own life. Further research is aimed at improving the existing sensors through increasing their capabilities and enhancing their efficiency. In the coming period, IoT is expected to play the key roles in all the aspects of modern medical treatment and health management - prevention, diagnosis, disease monitoring, treatment monitoring. This paper emphasizes the growing needs for better functioning of healthcare systems in real-time as well as the future development of personalized medicine.