Analyzing key performance indicators (KPIs) for E-commerce and Internet marketing of elderly products: a review.

With the transformation of its population structure and economic environment, Taiwan is rapidly becoming an aging society. There is a growing need for elderly products, and therefore the operation of web shops that sell elderly products is important. In an era which values performance management, searching for key performance indicators (KPIs) helps to reveal, if the goals of a web shop are achieved. In the current study, researchers adopted the constructs of the Balanced Scorecard (BSC) to evaluate web shop performance. Additionally, the Delphi method, along with questionnaires, was used to develop 29 indicators. Finally, the decision making trial and evaluation laboratory (DEMATEL) method assisted in identifying the level of importance of the constructs, in which "internal process" ranked top, followed by "learning and growth", "customer", and "financial". "Internal process" was the key construct that impacted other factors, while "customer" was an important construct affected by other factors. By understanding the influences and relationships among the constructs, enterprises can conduct additional monitoring and management to achieve functions of prevention, continuous improvement, and innovation in order to shape their core competence.

Risk management of developing assistive devices for elderly.

This study uses the Delphi method in interviewing experts to identify critical risks in the development of assistive devices. Critical risks included product planning, technology development, production, performance, schedule management, and cost management, comprising 26 risk factors in 6 constructs. This study determined which factors were of high importance, finding a total of 7 market analysis errors. Mind mapping was used to create a knowledge map; and layer expansion was used to understand risk distribution to facilitate risk mitigation and monitoring. Organizational risk strategies could be developed to reduce risk and maintain stability while achieving the objective of developing new products.

A learning curve of total knee arthroplasty (TKA) based on surgical volume analysis.

The purpose of this study is to discover valuable medical facts by utilizing the Taiwan National Health Insurance (NHI) database, which contains 32,200 records of TKA surgeries. Three main objectives of this paper include the following: (a) building learning curves of TKA from the target database; (b) characterizing how the TKA volume correlates with infection rate and mortality; (c) examining the differences of infection rate and mortality between the medical center (Group I) and the non-medical center (Group II). The TKA samples are classified into two groups according to their institution type (medical center and non-medical center). The Z-test is used to test whether there are differences in the infection rate and mortality between the two observed groups. This study also adopts linear/nonlinear regression to investigate the relationship between TKA volume and the infection rate (mortality). This study has three main findings: (a) it confirms a correlation between the TKA surgical volumes and certain outcomes, (b) surgeons and hospitals with higher TKA volumes exhibit better operation quality, lower postoperative complication rate, and (c) there are significant differences in infection and mortality rate between Group I and Group II.