Strategy to Increase Behavior Intention of Using NetSuite in Food Service Industry Study Case: Company X

J. M. Loretta, C. Saragih, B. N. Moch, E. Muslim
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Abstract

To face Industrial Revolution 4.0, company start to invest Information Technology (IT) system to improve effectiveness and efficiency in decision making and business processes. One of the technology investments chosen by a lot of companies is using the Enterprise Resources Planning (ERP) system. However, the ERP implementation has a 60-90% failure risk (Ahmad, 2014) and user technology readiness is the main key for the success of ERP implementation (Sun, 2011). To make strategies that fit the needs of food service company, this research was evaluating the Technology Readiness Index (TRI) of the workers and researching the relation between technology readiness and the acceptance of ERP technology named NetSuite in Company X. To evaluating the TRI, the researcher used the updated Technology Readiness Index method developed by Parasuraman in (2014). To research the correlation between technology readiness and the technology acceptance model, the researcher uses Technology Readiness and Acceptance Model (TRAM) and processed by Partial Least Square- Structural Equation Modelling (PLS-SEM). The result is Company X has a High Readiness Technology and the variable that affects the behavior intention of using NetSuite is perceived ease of use, the variable affected the perceived ease of use are optimism, innovativeness, and discomfort. The strategy plan designed by the result of the research and validated using Importance-Performance Analysis (IPA).
提高餐饮服务行业使用NetSuite行为意愿的策略研究案例:X公司
面对工业革命4.0,企业开始投资信息技术(IT)系统,以提高决策和业务流程的有效性和效率。许多公司选择的技术投资之一是使用企业资源规划(ERP)系统。然而,ERP实施有60-90%的失败风险(Ahmad, 2014),用户技术准备是ERP实施成功的主要关键(Sun, 2011)。为了制定适合餐饮服务公司需求的战略,本研究评估了员工的技术准备指数(Technology Readiness Index, TRI),研究了技术准备与x公司NetSuite ERP技术接受度之间的关系。为了评估TRI,研究者使用了Parasuraman(2014)开发的更新的技术准备指数方法。为了研究技术准备度与技术接受模型之间的关系,研究者采用技术准备度与接受模型(TRAM),并采用偏最小二乘-结构方程模型(PLS-SEM)进行处理。结果表明,X公司拥有高准备度技术,影响使用NetSuite行为意愿的变量是感知易用性,影响感知易用性的变量是乐观、创新和不适。根据研究结果设计了战略方案,并采用重要性-绩效分析(IPA)进行了验证。
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