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The Impact of Digital Technologies on How Companies Work: Results from an Interview Study

Leyh Christian, Becke Paul, Pentrack Milan, Bodenstein Bastien

Annals of Computer Science and Information Systems

2021

Vol. 25

437--446

Within this paper, we set up an exploratory interview study to examine the impact of digital technologies on the way employees work as well as the specific opportunities and challenges SMEs are facing. We show that digitalization has already triggered a wide range of changes. The individual extent of these changes as well as the perception of technological trends varies for each employee and each company depending on the context. Our study also shows that the SMEs interviewed have applied a wide range of tools and strategies to exploit the opportunities of digital technologies and to overcome the associated challenges.

An adaptation of IoT to improve parcel delivery system

Song Ha Yoon, Han Hyo Chang

Annals of Computer Science and Information Systems

2019

Vol. 18

497--500

Recently, IoT technology has been applied in various field. Especially this IoT technology can also be applied to delivery system. Current delivery system is high costly but somewhat inefficient. A delivery must go through the logistics hub, even if it's not a minimum distance. In this paper, we propose an enhanced parcel delivery system based on IoT technology. Firstly, we designed a sort of IoT devices which can be attached parcels. This devices has various functionalities including the ability to figure out current delivery route. Secondly, we introduce some difficulties such as : (i) issues linking IoT device into its platform; (ii) issues for designing IoT devices functionalities. Thirdly, we propose ways to improve the efficiency of IoT based parcel delivery system. From these considerations, our system may improve total economics of parcel delivery system.

Archimedean copulas for price-volume dependencies of DAX companies

Gurgul H., Syrek R.

Systems Science

2006

Vol. 32, no 2

63-90

This study deals with the empirical relations between stock returns and trading volume using stock data of DAX companies. By means of copula methodology for trading volume-returns and trading volume-volatility (contemporaneous and lagged) we try to prove the contemporaneous and dynamic structure of dependencies for a DAX stock market data set from January 1994 to December 2005 on a daily basis. Our results suggest that there is almost no relationship between stock return levels and trading volume in either direction. We find that trading volume is contemporaneously positively related to return volatility. In addition, we establish that lagged return volatility induces trading volume movements.