以能力集合與科技接受模式探討健身APP開發之研究

A Study of Fitness Applications by Competence Set and Technology Acceptance Model

隨著國民健康意識抬頭，參與健身運動的人口逐年增加，在健身產業快速發展下，相對也帶來競爭，各業者為了提升競爭力，必須不斷地擴展、轉化和精進自己的能力集，以有效地解決問題與挑戰。手機應用程式（APP）是目前受到廣泛使用的工具，如果可以與健身產業做結合，說不定創新的服務可以吸引消費者的注意，並滿足其需求。本研究的目的為以開發者的能力集合探討消費者對於健身APP功能的需求有哪些，以及健身APP與科技接受模式之間的影響關係。本研究採線上問卷的方式，對象為有在健身者與健身教練，共回收112份問卷，扣除無效問卷後，有效問卷為100份。從問卷得出消費者認為健身APP所需的功能有六項，其中運動健康紀錄功能是消費者認為最需要的。由相關分析發現「便利性」與「知覺有用」之間的相關係數為 .847，「使用態度」與「行為意圖」相關係數為 .800，兩者都有非常高的正相關。而回歸分析顯示出「娛樂性」與「認同感」對於健身APP也有影響力。透過開發者能力集合，可以知道健身APP所需的功能，經過科技接受模式的分析，可清楚知道消費者的需求是什麼，對未來研發健身APP時，此研究結果可作為參考依據。

As the rising awareness of national health, the number of people who do exercises and work out increases year after year. The rapid development of sports and fitness industries leads to competition among them. To enhance their competitiveness, the industries must continuously expand, transform and promote their competence set, to effectively solve the problems and encounter the challenges. Mobile applications are extensively used nowadays; if they could have combinations with sports and fitness industries, perhaps this innovative change could catch consumers’ attention and even meet their needs. By developers’ competence set aspect, this research aims to investigate what consumers’ needs for fitness applications are and the relationship between the applications and Technology Acceptance Model (TAM). This research adopts the way of online questionnaire. The respondents are people who keep a habit of exercise and gym trainers. Except for invalid responses, there are 100 adoptable responses, from all 112 responses in total. The result of the questionnaires indicates that consumers reckon that fitness applications should have 6 functions. Particularly, they think that the function of sports and health record is the most significant. According to related analysis, the correlation coefficient between “convenience” and “perceived usefulness” is .847; the correlation coefficient between “attitude” and “intentions” is .800. That is, both statistics illustrate high-positive correlation. Also, regression analysis reveals that “entertainment” and “sense of identity” have influence on fitness applications. Through developers’ competence set, we can know what functions fitness applications should have; besides, by the analysis of TAM, we can know more clearly what consumers’ needs are. The result of this research could be taken as reference for developing fitness applications in the future.