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APPLICATION OF SOFT COMPUTING
Exploring the selected strategies and multiple selected paths
for digital music subscription services using the DSA-NRM approach
consideration of various stakeholders
Kuo-Pao Tsai
1
•Feng-Chao Yang
2
•Chin-Lung Lu
1
•Chia-Li Lin
3
Accepted: 26 June 2024 / Published online: 14 December 2024
ÓThe Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024
Abstract
Music has become a part of many people’s lives. Early adopters used to buy tapes or CDs to listen to music, which were
difficult to preserve and easily damaged. With the digital transfor-mation of the industry, users nowadays can listen to
various genres/styles of music online through digital music platforms at any time. As the types and styles of music are
numerous, some digital music platforms have begun to consider providing more diverse ways of delivering music listening
services. For example, various music classification systems allows users to easily find all albums by the same singer;
different styles of music streaming services save users time in searching for songs of the same type; and the ability to share
playlists allows users to share their listening playlists with family and friends. This service model increases peer discussion
topics and exposure to albums, songs, and singers. The study summarizes the driving factors influencing the adoption of
digital music subscription services using expert interviews and literature reviews. The study outlines four adoption-driving
dimensions (service benefits, service efficiency, behavioral attribution, and adoption intention) and 16 evaluation criteria.
Besides, this study integrates Desire and Satisfaction Analysis (DSA) and Network Relation Map (NRM) to propose a
DSA-NRM analysis to evaluate the adoption strategy and optimal development path for digital music subscription services.
Based on the four quadrants of music subscription services, this study proposes four selected strategies (attention strategy,
sustainment strategy, adjustment strategy, and focus strategy). The research results show that the SB (service benefits)
aspect has high desire and low satisfaction and can adopt selected strategy D (focus Strategy). The AI (adoption intention)
aspect is an aspect with intense desire and low satisfaction and can use strategy C (adjustment strategy) chosen. The AI
(adoption intention) aspect can dominate other aspects, and the SE (service effectiveness) can be dominated by different
aspects.
Keywords Subscription services Digital music subscription services DSA-NRM DSA (desire and satisfaction
analysis) DEMATEL
&Kuo-Pao Tsai
kuobaotsai@gmail.com
&Chia-Li Lin
linchiali0704@yahoo.com.tw
Feng-Chao Yang
yfc@mail.dyu.edu.tw
Chin-Lung Lu
cllu@cs.nthu.edu.tw
1
Department of Computer Science, National Tsing Hua
University, Hsinchu 300, Taiwan
2
Department of Information Management, Da-Yeh University,
Changhua 515, Taiwan
3
Department of International Business, Ming Chuan
University, Taipei 111, Taiwan
123
Soft Computing (2025) 29:299–320
https://doi.org/10.1007/s00500-024-10323-y(0123456789().,-volV)(0123456789().,-volV)
Content courtesy of Springer Nature, terms of use apply. Rights reserved.