A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Success factors when implementing AI-powered marketing solutions
Artificial intelligence (AI) has been proven to boost marketing performance in various use cases. However, many decision-makers in organizations lack the understanding of how to successfully implement it. This research aims to discover and analyze the factors that made two implementation projects of AI-powered marketing solutions successful. The topic was researched by creating two case studies of successful implementation projects of AI-powered marketing solutions and analyzing the factors that made them successful. The case studies were crafted using interviews with expert informants as the primary source of data. The case study narratives were supported by secondary data such as literature on the topic. What is concluded from the research is that factors such as agile development practices, supportive company culture, multidisciplinary development team and close customer/end-user involvement were factors in the success of both implementation projects. This paper is divided to 7 parts: introduction, theoretical framework, research methodology, case study 1, case study 2, results and discussion.
Success factors when implementing AI-powered marketing solutions
Artificial intelligence (AI) has been proven to boost marketing performance in various use cases. However, many decision-makers in organizations lack the understanding of how to successfully implement it. This research aims to discover and analyze the factors that made two implementation projects of AI-powered marketing solutions successful. The topic was researched by creating two case studies of successful implementation projects of AI-powered marketing solutions and analyzing the factors that made them successful. The case studies were crafted using interviews with expert informants as the primary source of data. The case study narratives were supported by secondary data such as literature on the topic. What is concluded from the research is that factors such as agile development practices, supportive company culture, multidisciplinary development team and close customer/end-user involvement were factors in the success of both implementation projects. This paper is divided to 7 parts: introduction, theoretical framework, research methodology, case study 1, case study 2, results and discussion.
Success factors when implementing AI-powered marketing solutions
Mölsä, Mikael (author) / Haaga-Helia ammattikorkeakoulu
2017-01-01
10024/447
Theses
Electronic Resource
English
DDC:
690
Critical Success Factors in Implementing Process Safety Management
| British Library Conference Proceedings | 1996
Critical success factors for implementing integrated construction project delivery
| Emerald Group Publishing | 2019
Success factors for implementing Uganda’s public road construction projects
| Taylor & Francis Verlag | 2021