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From 2002 to 2005, Taiwan's ODMs concentrated on PCs and consumer electronics. Even though they lacked any well‐known brand names, they managed to develop an outstanding 34 percent compound annual growth. The purpose of this study is providing a viewpoint of SMEs competitive strategy from Taiwan's ODM industry.

In this article, we first examine the SMEs Transition of ODMs in Taiwan, highlighting the challenges executive face between Taiwan and Mainland China for better competitive strategy. Next, we introduce some of the ODM strategies using the innovative division of labor from the SEM in Taiwan and describe how they can play a role in overcoming the challenge in the global market.

In the traditional closed business models, the operating efficiency of the ODM industry has been impacted by both the rise of innovative R&D costs and shortening of the revenue period. The new open business model (OBM) strategy can overcome the shortcomings of costly R&D in the traditional business models. The case study in this paper shows that there are four new profit sources in the OBM using the innovative division of labor.

The study is the first to shed light on the role of the OBM using the innovative division of labor for the SMEs. The findings may have noteworthy implications for the SMEs. From this article, managers may gain insights into the innovative division of labor for the SMEs ways to integrate these insights into their managing.

The purpose of this study is the analysis of innovation in technology‐intensive industries via the application of scenario analysis (SA) to master the development of market information and competitive environment. This study will employ the technical development of SONY video tape recorder (VTR) as a case study, and then provide more adequate decision information on the technology development strategy (TDS) planning process.

Scenario analysis strategy assessment model will be utilized to construct a future technical development model based on present status, and will diffuse and apply the forecasting model to the cycle period of future market technical innovation. Therefore, applying SA in this study can effectively connect historical information to the analysis of technology development.

This research used SONY VTR TDS as a case study that provides a strategy assessment model to technology‐intensive industry for technical development strategy planning as the basis of decision information for technical forecasting. Output of the R&D department is the core lifeline for the development of a company, and TDS is affected by the orientation of customer demand and has an impact on the development of TLC to form the cycle period of uncertainty.

This model applied the property of TDS assessment to grasp the development trend in the market, and it can enable the R&D department to integrate technical push and market demand pull. In turn, this results in a gain in the competitive edge for technical innovation through a combination with strategies and regulations.

This study aims to develop an associative text analyzer (ATA) to support users in quickly grasping and interpreting the content of large amounts of text through text association recommendations, facilitating the identification of the contextual relationships between people, events, organization and locations for digital humanities. Additionally, by providing text summaries, the tool allows users to link between distant and close readings, thereby enabling more efficient exploration of related texts.

To verify the effectiveness of this tool in supporting exploration of historical texts, this study uses a counterbalanced design to compare the use of the digital humanities platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW) with and without the ATA to assist in exploring different aspects of text. The study investigated whether there were significant differences in effectiveness for exploring textual contexts and technological acceptance as well as used semi-structured in-depth interviews to understand the research participants’ viewpoints and experiences with the ATA.

The results of the experiment revealed that the effectiveness of text exploration using the DHP-LCLW with and without the ATA varied significantly depending on the topic of the text being explored. The DHP-LCLW with the ATA was found to be more suitable for exploring historical texts, while the DHP-LCLW without the ATA was more suitable for exploring educational texts. The DHP-LCLW with the DHP-LCLW was found to be significantly more useful in terms of perceived usefulness than the DHP-LCLW without the ATA, indicating that the research participants believed the ATA was more effective in helping them efficiently grasp the related texts and topics during text exploration.

The study’s practical implications lie in the development of an ATA for digital humanities, offering a valuable tool for efficiently exploring historical texts. The ATA enhances users’ ability to grasp and interpret large volumes of text, facilitating contextual relationship identification. Its practical utility is evident in the improved effectiveness of text exploration, particularly for historical content, as indicated by users’ perceived usefulness.

This study proposes an ATA for digital humanities, enhancing text exploration by offering association recommendations and efficient linking between distant and close readings. The study contributes by providing a specialized tool and demonstrating its perceived usefulness in facilitating efficient exploration of related texts in digital humanities.