BUSINESS NETWORKS IN E-COMMERCE INTERNATIONALIZATION –Two Finnish Companies Targeting Russia

With the proliferation of Internet, online shopping has become an increasingly essential part of global economy and thus, increasingly important field of research. While the internationalization process of a company has for long been in the focus of academic research, internationalization of e-commerce is a much newer field of study. The earlier empirical research has amply pointed out the difficulties of traditional internationalization models to explain the internationalization process of e-commerce companies. Conversely, business networks have been argued to play a major role in the e-commerce internationalization. The purpose of this study is to study how business networks influence the internationalization process of e-commerce companies. Conducted as a case study, this research studies the internationalization process of two Finnish e-commerce companies, Hong Kong and Hifi Studio, into possibly one of the most booming online markets - Russia. The empirical findings of the study concur with the earlier literature. The observed internationalization process differs from the assumptions of traditional international business models, and business networks are found influential for the process. However, the behavior of the two studied organizations is observed more independent than the network view to internationalization presumes. The trigger to internationalize rises from within the organizations and market potential is the primary explanation for selection of target markets. No network relationships were found to have an effect on foreign market selection, nor selection of mode of operations. This study indicates that exploring foreign markets is actually about investing in specific relationships within a business network, rather than overcoming economic, institutional, and cultural barriers. Companies utilize a wide array of relationships in their internationalization process and may effectively overcome disadvantages of operating in a foreign market by adopting partnerships with correct partners. However, building and maintaining operational business relationships is a demanding process, and organizations should prefer quality over quantity in their partner selection. Moreover, relationships where the focal party possess significant influence and leverage over other actor should be favored. Lastly, relationships need to be continuously evaluated and assessed in comparison with strategic business goals. Ultimately, e-commerce can be considered a new, low-risk, cost-effective, and relationship-oriented internationalization method, suitable especially in volatile market conditions as Russia today. This revolutionary new mode of international business activity calls for more profound focus of business managers and academia alike, as its weight on global trade continues to grow.

Validation of plant dynamic model by online and laboratory measurements – a tool to predict online COD loads out of production of mechanical printing papers

COD discharges out of processes have increased in line with elevating brightness demands for mechanical pulp and papers. The share of lignin-like substances in COD discharges is on average 75%. In this thesis, a plant dynamic model was created and validated as a means to predict COD loading and discharges out of a mill. The assays were carried out in one paper mill integrate producing mechanical printing papers. The objective in the modeling of plant dynamics was to predict day averages of COD load and discharges out of mills. This means that online data, like 1) the level of large storage towers of pulp and white water 2) pulp dosages, 3) production rates and 4) internal white water flows and discharges were used to create transients into the balances of solids and white water, referred to as “plant dynamics”. A conversion coefficient was verified between TOC and COD. The conversion coefficient was used for predicting the flows from TOC to COD to the waste water treatment plant. The COD load was modeled with similar uncertainty as in reference TOC sampling. The water balance of waste water treatment was validated by the reference concentration of COD. The difference of COD predictions against references was within the same deviation of TOC-predictions. The modeled yield losses and retention values of TOC in pulping and bleaching processes and the modeled fixing of colloidal TOC to solids between the pulping plant and the aeration basin in the waste water treatment plant were similar to references presented in literature. The valid water balances of the waste water treatment plant and the reduction model of lignin-like substances produced a valid prediction of COD discharges out of the mill. A 30% increase in the release of lignin-like substances in the form of production problems was observed in pulping and bleaching processes. The same increase was observed in COD discharges out of waste water treatment. In the prediction of annual COD discharge, it was noticed that the reduction of lignin has a wide deviation from year to year and from one mill to another. This made it difficult to compare the parameters of COD discharges validated in plant dynamic simulation with another mill producing mechanical printing papers. However, a trend of moving from unbleached towards high-brightness TMP in COD discharges was valid.