The Experts below are selected from a list of 1461 Experts worldwide ranked by ideXlab platform
Kerner Ann-christiin - One of the best experts on this subject based on the ideXlab platform.
-
Slow Fashion Brand Customer Persona : The profile and buying insights of a slowfashion brand Customer
Högskolan i Borås Akademin för textil teknik och ekonomi, 2018Co-Authors: Kerner Ann-christiinAbstract:Purpose: The purpose of this thesis is to expand knowledge of slow fashion brand Customer by creating a Persona that communicates the characteristics and aspects that influence purchase decisions of slow fashion consumers. Method: Since slow fashion consumer concept is still rather unexplored area, qualitative research strategy approach was chosen for this thesis, to get more deep data about the slow fashion consumer profile and buying insights. To address the research questions, single case study was used. The data was gathered through semi-structured interviews that were conducted with five female slow fashion consumers who had recently made a purchase from a Swedish slow fashion brand MASKA’s online store. To analyse the data, a coding approach was used. As a result of the coding process, themes that described the slow fashion consumer’s profile and buying insights emerged and were used later to create a narrative of the slow fashion buyer Persona. Conclusion: In order to expand knowledge of slow fashion brand Customer, a Persona that communicates the characteristics and aspects that influence purchase decisions of slow fashion buyer was developed with this study. To answer the research questions and develop Persona, five female slow fashion brand buyers were interviewed. Answering the research questions provided 8 different themes that emerged from the interview transcripts and made up slow fashion brandbuyer Persona, which fulfilled the purpose. The emerged themes were describing who slow fashion brand buyer Persona is: 1) creative mind; 2) globetrotter and explorer; 3) fond of nature, and themes that described what influences the slow fashion buyer: 4) consciousness; 5) quality over quantity; 6) shoppers of small boutiques; 7) trust; 8) esthetics. This study did not come to a firm conclusion, but rather aimed to provide more in-depth knowledge about slow fashion brand buyer and point out implications to further study the slow fashion consumer
Annchristiin Kerner - One of the best experts on this subject based on the ideXlab platform.
-
slow fashion brand Customer Persona the profile and buying insights of a slowfashion brand Customer
2018Co-Authors: Annchristiin KernerAbstract:Purpose: The purpose of this thesis is to expand knowledge of slow fashion brand Customer by creating a Persona that communicates the characteristics and aspects that influence purchase decisions o ...
Ebojie, Godfrey Osazie - One of the best experts on this subject based on the ideXlab platform.
-
Market entry strategy for Kari Finn float switch into the Nigerian market: Case company Kari Finn Oy
2020Co-Authors: Ebojie, Godfrey OsazieAbstract:For every business that considers market expansion on an international scale, adopting the right market entry mode for specific markets is essential. It lays the foundation for the strategy and exposes the risk levels and benefits for the proposed plan. The main drive of this thesis is to make a research on the market entry modes which Kari Finn Oy, the case company, can adopt in expanding their float switch market in a foreign country, Nigeria. The theoretical part of the thesis adopts a deductive approach to evaluate and analyze the various modes and theories of market entry to make a concrete decision on the best entry strategy for Kari Finn Oy. It also examines the PESTEL analysis, SWOT analysis, and Porter’s five forces to reveal how they play in influencing the case company’s market entry strategy. Additionally, the qualitative research method was used to extract answers to the research questions raised in the thesis. Primary data was collected through interviews with relevant company and industry stakeholders and secondary data were obtained from internet sources and other existing literature. The study result reveals that there are several possible strategies that the case company, Kari Finn Oy, can adopt to enter the Nigerian market. It also indicates that the most viable entry strategy will be through foreign direct investment by the establishment of a subsidiary firm in Nigeria. According to the study, this strategy will give the case company, Kari Finn Oy, the long-term benefit to leverage on ownership of facilities, have direct dealings with suppliers and Customers alike, and invariably a stronger control of its business operations. Further studies are required to significantly analyze the Nigerian market as well as the unique Customer Persona within the supply chain. The result of the thesis can be used to give insight and information to the case company for its market expansion goals
Zhongling Lin - One of the best experts on this subject based on the ideXlab platform.
-
natural gas Customer Persona and intelligent assessment research based on k means method
International Conference on Artificial Intelligence, 2019Co-Authors: Fan Luo, Dawei Pang, Zhongling LinAbstract:In this research project, we proposed a novel Customer Persona algorithm based on unsupervised clustering algorithms with additional important indicators for scoring within each class. This algorithm is tailored for the PetroChina Southwest Oil and Gasfield Company, using datasets sample from their sales information systems. Comparing to the previous methods, the proposed scoring mechanism is significant more subjective, only requiring business preference information for ranking indicators selection. This also allow better flexibility, being able to configuring different scoring mode based on preference or macroeconomic situation. By using this system, new business implementation customized to different category of user may be developed.
Fan Luo - One of the best experts on this subject based on the ideXlab platform.
-
natural gas Customer Persona and intelligent assessment research based on k means method
International Conference on Artificial Intelligence, 2019Co-Authors: Fan Luo, Dawei Pang, Zhongling LinAbstract:In this research project, we proposed a novel Customer Persona algorithm based on unsupervised clustering algorithms with additional important indicators for scoring within each class. This algorithm is tailored for the PetroChina Southwest Oil and Gasfield Company, using datasets sample from their sales information systems. Comparing to the previous methods, the proposed scoring mechanism is significant more subjective, only requiring business preference information for ranking indicators selection. This also allow better flexibility, being able to configuring different scoring mode based on preference or macroeconomic situation. By using this system, new business implementation customized to different category of user may be developed.
