The Experts below are selected from a list of 19554 Experts worldwide ranked by ideXlab platform
Stephen Shaoyi Liao - One of the best experts on this subject based on the ideXlab platform.
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Social Analytics
Decision Support Systems, 2014Co-Authors: Raymond Y K Lau, Stephen Shaoyi LiaoAbstract:In the era of Web 2.0, there has been an explosive growth of consumer-contributed comments at Social media and electronic commerce Web sites. Applying state-of-the-art Social Analytics methodology to analyze the sentiments embedded in these consumer comments facilitates both firms' product design strategies and individual consumers' comparison shopping. However, existing Social Analytics methods often adopt coarse-grained and context-free sentiment analysis approaches. Consequently, these methods may not be effective enough to support firms and consumers' demands of fine-grained extraction of market intelligence from Social media. Guided by the design science research methodology, the main contribution of our research is the design of a novel Social Analytics methodology that can leverage the sheer volume of consumer reviews archived at Social media sites to perform a fine-grained extraction of market intelligence. More specifically, the proposed Social Analytics methodology is underpinned by a novel semi-supervised fuzzy product ontology mining algorithm. Evaluated based on real-world Social media data, our prototype system shows remarkable performance improvement over a baseline ontology learning system and a context-free sentiment analysis system. The managerial implication of our research is that firms can apply the proposed Social Analytics methodology to tap into the collective Social intelligence on the Web, and hence improve their product design and marketing strategies.
Raymond Y K Lau - One of the best experts on this subject based on the ideXlab platform.
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Social Analytics
Decision Support Systems, 2014Co-Authors: Raymond Y K Lau, Stephen Shaoyi LiaoAbstract:In the era of Web 2.0, there has been an explosive growth of consumer-contributed comments at Social media and electronic commerce Web sites. Applying state-of-the-art Social Analytics methodology to analyze the sentiments embedded in these consumer comments facilitates both firms' product design strategies and individual consumers' comparison shopping. However, existing Social Analytics methods often adopt coarse-grained and context-free sentiment analysis approaches. Consequently, these methods may not be effective enough to support firms and consumers' demands of fine-grained extraction of market intelligence from Social media. Guided by the design science research methodology, the main contribution of our research is the design of a novel Social Analytics methodology that can leverage the sheer volume of consumer reviews archived at Social media sites to perform a fine-grained extraction of market intelligence. More specifically, the proposed Social Analytics methodology is underpinned by a novel semi-supervised fuzzy product ontology mining algorithm. Evaluated based on real-world Social media data, our prototype system shows remarkable performance improvement over a baseline ontology learning system and a context-free sentiment analysis system. The managerial implication of our research is that firms can apply the proposed Social Analytics methodology to tap into the collective Social intelligence on the Web, and hence improve their product design and marketing strategies.
Fox D Harrell - One of the best experts on this subject based on the ideXlab platform.
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from 2 772 segments to five personas summarizing a diverse online audience by generating culturally adapted personas
First Monday, 2018Co-Authors: Joni Salminen, Sercan şengun, Haewoon Kwak, Bernard J Jansen, Jisun An, Soongyo Jung, Sarah Vieweg, Fox D HarrellAbstract:Understanding users in the era of Social media is challenging, requiring organizations to adopt novel computation-aided approaches. To exemplify such an approach, we retrieved information on millions of interactions with YouTube video content from a major Middle Eastern media outlet, to automatically generate personas that capture how different audience segments interact with thousands of individual content pieces. Then, we used qualitative data to provide additional insights into the automatically generated persona profiles. Our findings provide insights into Social media usage in the Middle East and demonstrate the application of a novel methodology that generates culturally adapted personas of Social media audiences, summarizing complex Social Analytics data into human portrayals that are easy to understand by end users in real organizations.
Mohammed Nadeem - One of the best experts on this subject based on the ideXlab platform.
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Social Customer Relationship Management (SCRM): How connecting Social Analytics to business Analytics enhances customer care and loyalty?
International Journal of Business and Social Science, 2012Co-Authors: Mohammed NadeemAbstract:Social Customer Relationship Management (SCRM) is about people and relationships and demands a customer focus. This study investigates how Social Media (SM) has become an undeniable influence on customer care. The purpose of this paper is to explore how engaging customers through Social communities are having far-reaching effects on customer loyalty. Goldman (2011) highlighted that the powerful reach of SM is enabling loyalty marketers to extend their mastery of dialogue with customers achieving trialogue. Evans (2011) stated that marketers are exerting their efforts to understand Facebook, Twitter and blogging to get the rest of their firms aligned with their SM programs. The study was conducted using quality content analysis procedure of the web surveys, interviews, and case studies. This study examined three main questions: (1) how companies can leverage SM to strengthen customer care (2) how SM channels enhances customer loyalty (3) what are the managerial and profit implications of these findings for managers and researchers.
Joni Salminen - One of the best experts on this subject based on the ideXlab platform.
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from 2 772 segments to five personas summarizing a diverse online audience by generating culturally adapted personas
First Monday, 2018Co-Authors: Joni Salminen, Sercan şengun, Haewoon Kwak, Bernard J Jansen, Jisun An, Soongyo Jung, Sarah Vieweg, Fox D HarrellAbstract:Understanding users in the era of Social media is challenging, requiring organizations to adopt novel computation-aided approaches. To exemplify such an approach, we retrieved information on millions of interactions with YouTube video content from a major Middle Eastern media outlet, to automatically generate personas that capture how different audience segments interact with thousands of individual content pieces. Then, we used qualitative data to provide additional insights into the automatically generated persona profiles. Our findings provide insights into Social media usage in the Middle East and demonstrate the application of a novel methodology that generates culturally adapted personas of Social media audiences, summarizing complex Social Analytics data into human portrayals that are easy to understand by end users in real organizations.