To foster rich interdisciplinary academic exchanges among faculty and to increase awareness of research focus areas within the College, the College of Management hosted a Research Team Achievement Sharing Symposium on December 5. Four research teams showcased their innovative findings, offering insightful perspectives into their respective fields.

 

Topic 1: Exploring Open Innovation Strategies in Highly Standardized Industries Through Operations Management

Team Members: Associate Professor Feng-Jang Hwang (Department of Business Management), Associate Professor Chung-Lin Tsai (Department of Business Management)

The challenge of integrating open innovation into highly standardized industries is significant. This research revealed that combining Total Quality Management (TQM) with open innovation can substantially enhance competitiveness. By establishing robust infrastructure, businesses can attract external innovators, creating network effects that amplify the value of products and services.

In industries such as finance, characterized by strict regulations and rapid technological advancements, open innovation provides a competitive edge. Emerging technologies like IT, digital, and cloud solutions are reshaping traditional business models. For instance, fintech applications have enhanced the efficiency and efficacy of financial services, transforming conventional operations.

The study highlights how financial institutions adopt open innovation strategies by collaborating with tech firms, leveraging external knowledge to adapt to market changes and deliver cost-effective, personalized services. Through the lens of operations management, this research provides actionable strategies for traditional financial institutions to thrive in a rapidly evolving market landscape.

 

Topic 2: Enhancing Investor Awareness of Behavioral Biases Through Bank Risk Assessment and KYC Questionnaires

Team Members: Assistant Professor Ping-Chen Tsai (Department of Finance), Associate Professor Shih-Sian Jhang (Department of Finance)

Aiming to mitigate the impact of behavioral biases on investment decisions, this study demonstrated the effectiveness of bank risk assessment and KYC (Know Your Customer) questionnaires. Insights drawn from wealth management practices revealed deficiencies in existing questionnaires, which often fail to capture investors' true risk tolerance and preferences.

The research advocates for incorporating behavioral economics into questionnaires to address biases such as overconfidence and loss aversion. These adjustments not only enhance decision-making quality but also foster trust between financial institutions and clients.

While current KYC and risk assessment tools play a pivotal role in global anti-money laundering (AML) efforts, their lack of consideration for behavioral biases limits their effectiveness. This research underscores the importance of refining risk assessment processes to improve investor decision-making and strengthen financial institutions’ relationships with their clients.

 

Topic 3: Promoting Self-Regulation Through Service Anthropomorphism

Team Members: Professor Chun-Tuan Chang (Department of Business Management), Professor Chao-Min Chiu (Department of Information Management)

Service anthropomorphism—designing services with human-like characteristics—has proven effective in enhancing self-regulatory behaviors. The study found that users of anthropomorphic applications showed better time management and goal-setting capabilities, thanks to the apps’ engaging, human-like interactions.

Over time, these applications outperformed their non-anthropomorphic counterparts in fostering sustained self-improvement. By simulating interpersonal interactions, these tools provide reminders and suggestions in an approachable manner, enhancing user engagement and compliance.

Particularly effective in fitness applications, anthropomorphic designs significantly improved user self-discipline. The research offers practical recommendations for service developers to create more appealing and effective applications, thereby enhancing user experience and quality of life.

 

Topic 4: Investigating Privacy Concerns in Online Health Communities From an Affordance Perspective

Team Members: Professor Ying-Chun Li (Department of Business Management), Professor Shih-Chieh Hsu (Department of Information Management)

Online health communities provide platforms for sharing and emotional support, but privacy concerns often deter users from fully engaging. The study revealed that effective privacy settings enhance users' sense of control, encouraging appropriate information disclosure while fostering positive interactions.

This research analyzed the impact of affordance-based privacy designs on user behavior and privacy concerns. Findings indicate that well-designed privacy settings significantly increase user confidence in protecting their information. Gender differences were also observed, with males being more proactive in utilizing privacy features, while females tend to act only after recognizing the protective benefits.

The study offers valuable insights into improving platform design to balance user trust, information sharing, and community health interactions, addressing prevalent concerns about data misuse and privacy breaches.

The symposium not only celebrated the innovative efforts of these research teams but also provided a platform for interdisciplinary collaboration, paving the way for impactful contributions to academia and industry.

 

(Provided by Office of Academic Development / Edited by College of Management Media Team)