Zoekresultaten

Digital Life,

Modelling Complex Relationships Between Sustainable Competitiveness and Digitalization

Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.

Business Customer eXperience Alignment Framework

From the article: Globalization and technological innovation has led to an increasing competition between telecommunication service providers and has eroded traditional product- and service-based differentiation. One way to gain a competitive advantage is to create distinctiveness by improving customer experience in such a manner that it leads to higher customer satisfaction and loyalty. One of the drivers to improve the customer experience is the service interface. To improve this service interface, organizations must get insight into their customer interaction process. The amount of data about customers and the service provider processes is increasing and becoming more readily available for analysis. Process mining is a technique to provide insight into these processes. In this paper, a framework is presented to improve the customer satisfaction by alignment of the business service delivery process and the customer experience by applying process mining.

AUTOMATED DOCKING OF TRACTOR SEMITRAILER WITH DRIVER IN THE LOOP VIA 5G TELEOPERATION

The logistics sector is continually seeking innovations to improve service productivity and profitability in freight transport, such as reduced fuel consumption and automation in warehouses. However, the road transport sector in Europe currently faces challenges such as a shortage of drivers, unused road capacity at night, and poor digital insight into traffic. Digitalization and enhanced telecommunication, like 5G network connectivity, offer solutions for improvement, including teleoperation where vehicles are controlled remotely by humans from a control center, leading to increased efficiency and comfort for drivers. This paper presents a set of the first results of a pilot project where Automated Docking functionality was integrated in the teleoperated tractor-semitrailer combination. The paper discusses functional architecture, controller design, integration, and the first results of testing on a full scaled vehicle demonstrator.

A feature interaction benchmark for {IN} and beyond

Rapid creation of new services for telecommunications systems is hindered by the feature interaction problem. This is an important issue for development of IN services, not only because of interactions\namong IN services themselves but because of interactions of IN services with switch-based services and potential interactions with services not yet developed. Furthermore, the problem is fundamental to services creation; it is not restricted to IN services. Any platform for telecommunication services requires a method for dealing with the feature interaction problem. A number of approaches for managing feature interactions have been proposed. However, lack of structured ways to categorize feature interactions makes it difficult to determine if a particular approach has addressed some, if not all, classes of interactions. We describe and analyze a number of feature interactions by using two independent classification schemes. This paper is a step to achieving the goal of a coherent industry-wide collection of\nillustrative features and their interactions. The collection will helpconvey the scope of the feature interaction problem. It will also serve as a benchmark for determining the coverage of various approaches, and as a guideline for identifying potential interactions in software architectures and platforms.

The influence of perceived cultural and business distance on international marketing strategy decisions

World globalisation drives companies to undertake international expansion with the aim of retaining or growing their businesses. When companies globalize, managers encounter new challenges in making international marketing strategy (IMS) decisions, which are influenced by perceived cultural and business distance between their home- and foreign country. Telkom Indonesia International (Telin) was formed by Telkom Indonesia (i.e. the state-owned company in the telecommunication industry in Indonesia) to engage in international business within a global market. The central question in this study is to what extent do managers’ perceived cultural and business distance between home- and foreign country influence their IMS decisions? A mixed research strategy will be employed by applying qualitative and quantitative methods concurrently. The data collection will involve interviews with CEOs and managers, alongside a web survey to 55 managers of Telkom's. Results suggest important consequences for IMS decisions and emphasizes the need for dialogue on perceptions of cultural and business characteristics of countries.