Critical success factors in digital publishing technology using an ANP approach

Digital publishing technology (DPT) has been recognized as one of the most important technologies for economic development. The purpose of the study is to develop an evaluation model based on analytic network process (ANP) approach to explore the critical success factors (CSFs) for the successful implementation of DPT. It can objectively identify related criteria of DPT, and then prioritize improvement criteria to the success of promoting DPT for government. To demonstrate the applicability of the proposed approach, the Taiwan’s DPT is conducted. The results of this study could serve as a new method and offer insights to policy makers to indentify and prioritize CSFs for DPT implementations systematically. First published online: 03 Nov 201

Analyzing the factors that affect the adoption of mobile services in Taiwan

[[abstract]]Most previous research studies on the general factors related to the adoption of mobile services have used multiple regression methods (the technology acceptance mode or structural equation modeling) and some have used MCDM tools. However, these studies still have some shortcomings, so they cannot provide the enough precise information about these factors and their weightings. This information is needed by firms so that they can allocate their limited resources to the most important factors and draw appropriate strategies to improve the content and quality of their mobile services. This study reviewed the literature and constructed a three-layer hierarchical table of the factors that affect consumers' adoption of mobile services. A pair-wise questionnaire was then designed and distributed to managers who are familiar with the mobile services of Chunghwa Telecom, a leading telecommunication company. From the data collected, the weight of each factor was directly calculated, using the fuzzy analytic hierarchy process (FAHP). The paper analyzes the importance of factors and three implications are also discussed. Hopefully, this knowledge will enable firms to better utilize their limited resources, by devising management strategies based on the weights of these factors, and therefore, to meet consumer demand at lower cost and with greater efficiency