Professional service productization and its implications to knowledge transfer in internationalization processes –Case: Company X in Finnish, Swedish and Norwegian markets

As a result of globalization, two thirds of the world’s business takes place nowadays in the service sector. In line, professional service firms are growing their share of the global service production. However, saturation of the professional service sector has forced professional service firms to search for more heuristic ways to conduct business in the international markets. By leveraging effectively the firm’s professionals, a professional service firm can lower its costs to clients and simultaneously generate additional value for the company and thus gain competitive advantage. Even though the academic field has shown growing interest towards services for decades, the fields of service productization and service internationalization are heavily understudied even today. Hence, the objective of this study was to contribute to the research on professional service internationalization and productization. The study concentrated on examining the impact that productization has on knowledge sharing and leveraging in professional service firms operating internationally. The research question focused on examining what implications productization has on knowledge transfer and leveraging during professional service internationalization by leaning on the existing research and on an empirical research. The empirical research was conducted as a single case study within a professional service firm operating in debt-related administrative service business. The case company is one of the leading operators in its field of business and therefore offered a fruitful environment to observe and analyze the topics in question. Additionally, the case company has a strong international presence and a large scale of operations in the selected markets, Finland, Norway and Sweden. Based on the previous literature and on the empirical research, this study found that for professional service firms to efficiently utilize individual, tacit knowledge, in its internationalization processes, it must be shared with the whole organization. By exploiting productization as a knowledge leveraging mechanism, a PSF can apply and transfer knowledge profoundly during its internationalization processes that would otherwise be difficult to tap into. Productization might not be sufficient alone, but by complementing it with a favorable organizational structure and culture, and by encouraging open communication, a PSF may take advantage of the whole potential that productization has to offer.

Productizing professional marketing services through service blueprinting

The goal of this research is to study how knowledge-intensive business services can be productized by using the service blueprinting tool. As services provide the majority of jobs, GDP and productivity growth in Europe, their continuous development is needed for Europe to retain its global competitiveness. As services are turning more complex, their development becomes more difficult. The theoretical part of this study is based on researching productization in the context of knowledge-intensive business services. The empirical part is carried out as a case study in a KIBS company, and utilizes qualitative interviews and case materials. The final outcome of this study is an updated productization framework, designed for KIBS companies, and recommendations for the case company. As the results of this study indicate, productization expanded with service blueprinting can be a useful tool for KIBS companies to develop their services. The updated productization framework is provided for future reference.

Exploring the feasibility of applying data mining for library reference service improvement : a case study of Turku Main Library

Data mining, as a heatedly discussed term, has been studied in various fields. Its possibilities in refining the decision-making process, realizing potential patterns and creating valuable knowledge have won attention of scholars and practitioners. However, there are less studies intending to combine data mining and libraries where data generation occurs all the time. Therefore, this thesis plans to fill such a gap. Meanwhile, potential opportunities created by data mining are explored to enhance one of the most important elements of libraries: reference service. In order to thoroughly demonstrate the feasibility and applicability of data mining, literature is reviewed to establish a critical understanding of data mining in libraries and attain the current status of library reference service. The result of the literature review indicates that free online data resources other than data generated on social media are rarely considered to be applied in current library data mining mandates. Therefore, the result of the literature review motivates the presented study to utilize online free resources. Furthermore, the natural match between data mining and libraries is established. The natural match is explained by emphasizing the data richness reality and considering data mining as one kind of knowledge, an easy choice for libraries, and a wise method to overcome reference service challenges. The natural match, especially the aspect that data mining could be helpful for library reference service, lays the main theoretical foundation for the empirical work in this study. Turku Main Library was selected as the case to answer the research question: whether data mining is feasible and applicable for reference service improvement. In this case, the daily visit from 2009 to 2015 in Turku Main Library is considered as the resource for data mining. In addition, corresponding weather conditions are collected from Weather Underground, which is totally free online. Before officially being analyzed, the collected dataset is cleansed and preprocessed in order to ensure the quality of data mining. Multiple regression analysis is employed to mine the final dataset. Hourly visits are the independent variable and weather conditions, Discomfort Index and seven days in a week are dependent variables. In the end, four models in different seasons are established to predict visiting situations in each season. Patterns are realized in different seasons and implications are created based on the discovered patterns. In addition, library-climate points are generated by a clustering method, which simplifies the process for librarians using weather data to forecast library visiting situation. Then the data mining result is interpreted from the perspective of improving reference service. After this data mining work, the result of the case study is presented to librarians so as to collect professional opinions regarding the possibility of employing data mining to improve reference services. In the end, positive opinions are collected, which implies that it is feasible to utilizing data mining as a tool to enhance library reference service.