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Decision support systems: Influential factors in the startup and investor ecosystem

Kitungulu, Concillier LU and Nayak, Monalisha LU (2019) INFM10 20191
Department of Informatics
Abstract
Startups struggle to transition from young and early stage startups to mature operational startups because of challenges in acquiring Venture Capital investments due to the competition from existing peers. This thesis proposes the use of Decision Support Systems to create and sustain competitive advantage for startups in the pre-investment and post-investment phases. The Actor Network theory has been used to map out the relevant networks and actors in the startup and investor ecosystem after which the Resource based view theory has been used to understand the value of Decision support systems resources and attributes in this ecosystem during different stages of investment. This thesis has been examined through 5 interviews with 3 mature... (More)
Startups struggle to transition from young and early stage startups to mature operational startups because of challenges in acquiring Venture Capital investments due to the competition from existing peers. This thesis proposes the use of Decision Support Systems to create and sustain competitive advantage for startups in the pre-investment and post-investment phases. The Actor Network theory has been used to map out the relevant networks and actors in the startup and investor ecosystem after which the Resource based view theory has been used to understand the value of Decision support systems resources and attributes in this ecosystem during different stages of investment. This thesis has been examined through 5 interviews with 3 mature startup founders and 2 investment managers. Key findings highlight factors and attributes of Decision support system resources from both Information System and non-Information system standpoints that lead to sustainable competitive advantage. Additionally, the thesis highlights the strategic role of Decision support systems in a startup’s change management and planning. (Less)
Please use this url to cite or link to this publication:
author
Kitungulu, Concillier LU and Nayak, Monalisha LU
supervisor
organization
course
INFM10 20191
year
type
H1 - Master's Degree (One Year)
subject
keywords
Startups, Investors, Decision support systems, actor network theory, resource-based view theory, multi-stakeholders, strategy, document DSS, knowledge DSS, data DSS, model DSS, IS resources, differentiation, market responsiveness, decision making, IS attributes
report number
INF19-001
language
English
id
8980626
date added to LUP
2019-06-14 15:37:27
date last changed
2019-06-14 15:37:27
@misc{8980626,
  abstract     = {Startups struggle to transition from young and early stage startups to mature operational startups because of challenges in acquiring Venture Capital investments due to the competition from existing peers. This thesis proposes the use of Decision Support Systems to create and sustain competitive advantage for startups in the pre-investment and post-investment phases. The Actor Network theory has been used to map out the relevant networks and actors in the startup and investor ecosystem after which the Resource based view theory has been used to understand the value of Decision support systems resources and attributes in this ecosystem during different stages of investment. This thesis has been examined through 5 interviews with 3 mature startup founders and 2 investment managers. Key findings highlight factors and attributes of Decision support system resources from both Information System and non-Information system standpoints that lead to sustainable competitive advantage. Additionally, the thesis highlights the strategic role of Decision support systems in a startup’s change management and planning.},
  author       = {Kitungulu, Concillier and Nayak, Monalisha},
  keyword      = {Startups,Investors,Decision support systems,actor network theory,resource-based view theory,multi-stakeholders,strategy,document DSS,knowledge DSS,data DSS,model DSS,IS resources,differentiation,market responsiveness,decision making,IS attributes},
  language     = {eng},
  note         = {Student Paper},
  title        = {Decision support systems: Influential factors in the startup and investor ecosystem},
  year         = {2019},
}