Business Roles in Creating Value from Data in Collaborative Networks

Abstract

The present study investigates activities and actors' roles in how companies utilise and adopt big data and cognitive systems in their business processes. Based on the literature review, a qualitative analysis of 18 in-depth interviews with participants from six companies and a complementary review of five illustrative case companies, we identify five different roles to create business value or new business opportunities in the collaborative networks. Based on those business roles, we also identified activities and outcomes. This study contributes to the debate regarding business roles and activities and how companies create value in adopting data and cognitive systems in collaborative networks. For practitioners, the findings show that different data-driven business roles and opportunities exist in the collaborative networks. The business roles are not exclusive, and the same company can have several roles depending on the business case.

Data Privacy Concerns Throughout the Customer Journey and Different Service Industries

“…Tradeoff value questionnaire items were adopted from Martin et al [3] and information sensitive items from [33]. In the questionnaire, respondents were asked to rate value using a 5-point Likert scale ranging from totally agree (5) to totally disagree (1). Results were analyzed using Statistical Package for the Social Sciences (SPSS) version 25.0.…”

“…Creating a superior customer experience has become a dominant aim and stream of value chains and ecosystems. One important element in developing new digital services is the utilization of customer data in personalization, online service performance monitoring, and sales and marketing operations improvement [1]. While companies have created multichannel designs for customers and have become more data driven in their daily activities, customers, as the most important actors of business ecosystems, have become increasingly concerned about their privacy.…”

How Students’ Information Sensitivity, Privacy Trade-Offs, and Stages of Customer Journey Affect Consent to Utilize Personal Data

“…Consumers leave data about their behavior behind when interacting with various information technology solutions. Companies use consumers' data to develop their operations, personalize their services, and optimize and strengthen their relationships with customers (Alamäki et al, 2018;Rust & Huang, 2014). However, consumers have become more concerned about how their online behavior is analyzed and how their data is used.…”

Interactive Machine Learning: Managing Information Richness in Highly Anonymized Conversation Data

“…Sharing data between organisations is becoming an important process for the cocreation of value in collaborative networks [1,2]. But in most business or scientific research cases, sharing data over organisational boundaries requires anonymisation.…”

“…Gaining deeper business insight and ensuring the reliability of results both require the processing of several data sets and a collaborative network of organisations. Many organisations are also seeking new value by combining inter-organisational data and advanced data analytics methods such as machine learning [1]. Sharing data will become a crucial process in the digital transformation of business processes in the value chains of ecosystems.…”