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Showing result 1 - 5 of 89 essays matching the above criteria.

1. 1. Social Media Platforms - The Most Valuable Player? - The role of social media platforms in fostering football fans’ team loyalty

   University essay from Göteborgs universitet/Graduate School

   Author : Sofia Granberg; Julia Löfblad; [2023-07-03]
   Keywords : Twitter; podcast; e-zine; social media usage; football; fandom; brands; involvement; team identification; attitudinal loyalty; behavioral loyalty;

   Abstract : With football as an increasing business, alongside the rise and importance of user-generated content on social media, this mixed methodological paper analyzes which roles Twitter, podcasts and e-zines usage have for Swedish football fans’ loyalty towards their favorite teams, by utilizing surveys and semi-structured interviews. This paper provides support for positive relationships between social media usage and behavioral fan loyalty, since social media platforms keep fans updated and generate information, especially when there is a geographical distance between the fans and the team. READ MORE

3. 2. Sustainability Content on Social Media Marketing with a B2B Perspective : A qualitative multiple case study on sustainability in social media marketing in the global manufacturing industry

   University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

   Author : Alexander Nordström Käll; Jonas Nyman; [2023]
   Keywords : B2B; Social media marketing; Sustainability; Relationship marketing; Trust-commitment;

   Abstract : Purpose: The purpose of this study is to investigate how sustainability can be used in social media marketing to create trust and commitment in B2B relationships with all stakeholders.  Method: Multiple case study with an abductive approach, data collection through nine semi-structured interviews and several sources of secondary data. READ MORE

4. 3. Digital media use towards relationship initiation in marketing : A qualitative study of Swedish Micro-firms in a B2B context

   University essay from Umeå universitet/Företagsekonomi

   Author : Xian Li; [2023]
   Keywords : Keywords: Digital media; Relationship marketing; Business-to-Business marketing; Trust; Customer relationship initiation;

   Abstract : This thesis aims to explore what and how Swedish micro firms use digital media towards relationship initiation in a Business-to-Business (B2B) context. Digital media has been increasingly studied in marketing over time, but it has been predominated by Business-to- Customer (B2C) context, while the Business-to-Business context lacks attention, micro B2B firms even less in particular. READ MORE

5. 4. From Data to Decisions: Decisive Factors Influencing Swedish IT SMEs Adoption of Business Intelligence Systems

   University essay from Uppsala universitet/Institutionen för informatik och media; Uppsala universitet/Företagsekonomiska institutionen

   Author : Shayan Nilfouroushan; Tarik Almohtasib; [2023]
   Keywords : SME; Adoption; Business Intelligence BI ; Business Intelligence Systems BIS ; Decision-making; Perceived usefulness PU ; Perceived Ease of Use PEU ; Technology Acceptance Model TAM ; The Technology Organisation Environment Framework TOEF ;

   Abstract : Research Question: Which are the decisive factors that impact the adoption of business intelligence systems (BIS) among IT SMEs in Sweden? Purpose: This paper aims to examine Swedish SMEs and understand which decisive factors have an impact on the decision makers and their adoption of BIS. This study aims to study SMEs that have already adopted BIS. READ MORE

6. 5. Using Social Media and Personality Predictions to Anticipate Startup Success

   University essay from Lunds universitet/Matematisk statistik

   Author : Daniel Stenson; [2023]
   Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

   Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE