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Fostering positive attitudes and increasing knowledge are key success factors for enterprise systems. Training can improve knowledge, but little research has investigated the effects of domain-relevant knowledge on salient cognitive beliefs and attitude in technology acceptance. We highlight the critical role of domain-relevant knowledge in the formation of beliefs and the shaping of attitude by developing a model of informed technology acceptance. We hypothesize the positive effects of multi-dimensional enterprise resource planning (ERP) knowledge on salient cognitive beliefs (i.e., ERP self-efficacy, perceived ease of use, and perceived usefulness) and general affective attitude toward an ERP system. Using survey data from gamified ERP training of 248 professionals from three different organizations, results support the proposed model, suggesting that ERP knowledge is an important antecedent of ERP self-efficacy, perceived ease of use, perceived usefulness, and attitude. We find that ERP knowledge exhibits both direct and indirect effects on attitude. Moreover, we find that gamified training is an effective means of improving ERP knowledge. 相似文献
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随着云计算的不断发展,云企业信息系统(EIS)显示出其优势,愈来愈多企业愿意考虑从传统EIS转换到云EIS系统。然而,却很少研究探讨企业在EIS的转换议题,本研究整合信息系统成功模型和技术接受模型,发展一个多理论框架去探索企业向云ERP转换的意愿。我们从企业管理者收集了199份调查问卷,通过结构方程模型验证本研究模型与假设,结果发现有用性和易用性是影响转换意愿重要因素,易用性、信息质量和系统质量则正向影响认知有用性,这些结论,给未来转换意愿研究提供了参考,我们建议云服务供应商应重视系统本身的易用性和有用性,提高系统质量并关注信息质量,以帮助他们提供企业需求的产品,吸引更多企业从传统EIS转换到云EIS。 相似文献
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Big data analytics associated with database searching, mining, and analysis can be seen as an innovative IT capability that can improve firm performance. Even though some leading companies are actively adopting big data analytics to strengthen market competition and to open up new business opportunities, many firms are still in the early stage of the adoption curve due to lack of understanding of and experience with big data. Hence, it is interesting and timely to understand issues relevant to big data adoption. In this study, a research model is proposed to explain the acquisition intention of big data analytics mainly from the theoretical perspectives of data quality management and data usage experience. Our empirical investigation reveals that a firm's intention for big data analytics can be positively affected by its competence in maintaining the quality of corporate data. Moreover, a firm's favorable experience (i.e., benefit perceptions) in utilizing external source data could encourage future acquisition of big data analytics. Surprisingly, a firm's favorable experience (i.e., benefit perceptions) in utilizing internal source data could hamper its adoption intention for big data analytics. 相似文献
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随着云计算的不断发展,云企业信息系统(EIS)显示出其优势，愈来愈多企业愿意考虑从传统EIS转换到云EIS系统。然而，却很少研究探讨企业在EIS的转换议题，本研究整合信息系统成功模型和技术接受模型，发展一个多理论框架去探索企业向云ERP转换的意愿。我们从企业管理者收集了199份调查问卷，通过结构方程模型验证本研究模型与假设，结果发现有用性和易用性是影响转换意愿重要因素，易用性、信息质量和系统质量则正向影响认知有用性，这些结论，给未来转换意愿研究提供了参考，我们建议云服务供应商应重视系统本身的易用性和有用性，提高系统质量并关注信息质量，以帮助他们提供企业需求的产品，吸引更多企业从传统EIS转换到云EIS。 相似文献
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Customer acceptance of IPTV service quality 总被引：1，自引：0，他引：1
Hyeong Yu Jang Mi Jin NohAuthor vitae 《International Journal of Information Management》2011,31(6):582-592
The purpose of this article is to provide insights into the effects of Internet Protocol Television (IPTV) service quality and reveal mediation effects in the process of forming the repurchase intention. This study incorporates additional theoretical construct, perceived enjoyment, to reflect IPTV characteristics using extended technology acceptance model (TAM). This study empirically investigated a research model and conducted a survey of IPTV service users. The results of this study are as follows. First, IPTV service quality is summarized as design, security, and customer service, which is supported by second-order factor analysis. Service quality had an influence on perceived usefulness, perceived ease of use, and perceived enjoyment. Second, perceived ease of use had a significant effect on perceived enjoyment, and perceived usefulness also had an effect on repurchase intention. Third, attitude, trust, and satisfaction had a positive effect on repurchase intention. To reveal the impact on repurchase intention of the IPTV service quality, this study proposes customer acceptance on IPTV service based on a modified TAM. 相似文献
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Information and communication technologies in use in government systems can bring about expected benefits only when citizens are willing and able to use such systems. Previous studies from various disciplines provided a fundamental understanding of human behavior with technology adoption that focused mainly on the technical and supply sides of this adoption. We argue that it is necessary to move away from an assumption that users form a homogeneous group under the phenomenon of the digital divide. Having conducted an online experiment, this study empirically examined the effects of personal factors, particularly the perceived information literacy, and the perceived information overload, on the user’s perceptions on the usefulness and trust in a government website. We find that the higher an individual perceives one’s information literacy, the more he or she trusts the website, and this is mediated by one’s perceived information overload (negatively) and perceived usefulness (positively). This research provides a more balanced understanding of the behavior of e-government adoption, supplemented with the details of citizen engagement factors, and specifies meaningful practical implications for successful e-government policies. 相似文献
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User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model 总被引：1，自引：0，他引：1
Namkee Park Raul Roman Seungyoon Lee Jae Eun Chung 《International Journal of Information Management》2009
This study examines the factors that influence people's adoption and use of a digital library system and tests the applicability of the Technology Acceptance Model (TAM) in the context of developing countries. Using data from a survey of 16 institutions in Africa, Asia, and Central/Latin America (N = 1082), a path analysis revealed that perceived ease of use of the library system had a significant impact on perceived usefulness, which ultimately led to behavioral intention to use. In addition, the study examined the similarities and differences in the significant predictors of the digital library acceptance across countries and continents. Further, the current study suggests that external variables that affect perceived ease of use and usefulness need to be considered as important factors in the process of designing, implementing, and operating digital library systems. Such consideration will help decrease the mismatch between system design and local users’ realities, and further facilitate the successful adoption of digital library systems in developing countries. 相似文献
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移动互联网用户采纳研究——基于感知利益、成本和风险视角 总被引：1，自引：0，他引：1
基于感知利益、成本和风险视角,对移动互联网用户采纳行为进行研究,构建用户采纳的结构方程模型,以揭示影响用户采纳移动互联网的关键因素及其作用机理。利用SPSS软件对模型量表进行探索性因子分析,使用SmartPLS软件对模型量表进行验证性因子分析和对结构方程模型的假设进行检验。结果显示用户对移动互联网的感知有用性、感知乐趣、无所不在性、感知成本对感知价值影响显著,感知价值、社会影响和感知有用性对用户采纳意向有直接影响,用户创新意识对感知价值与用户采纳意向的关系有显著负向调节作用。最后,对研究结果进行了讨论,提出促进我国移动互联网发展的建议。 相似文献
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［目的/意义］健康信息风险和用户隐私保护是健康大数据和移动健康时代的重要议题,从信息隐私和隐私计算视角,探究移动健康管理服务使用意愿的影响因素具有重要意义。［方法/过程］本文在分析移动健康管理服务特殊性和回顾相关研究的基础上,从信息隐私和隐私计算的视角,通过模型构建、问卷调查和假设验证等实证分析过程,重点探究信息隐私等相关因素对移动健康管理服务用户行为意向的影响。［结果/结论］研究表明：显著影响移动健康管理服务使用意愿的因素有感知收益和信任;隐私顾虑对使用意愿的影响并不显著,但并不意味着用户隐私保护不重要;此外,感知隐私控制是重要的心理要素,正向影响感知收益,负向影响隐私顾虑。对移动健康管理服务商来说,应该从信息隐私保护、感知收益提升、个人隐私控制强化以及用户信任建设等方面着手,从而促进移动健康管理服务的用户使用。 相似文献
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This study enhances the existing literature on online trust by integrating the consumers’ product evaluations model and technology adoption model in e-commerce environments. In this study, we investigate how perceived value influences the perceptions of online trust among online buyers and their willingness to repurchase from the same website. This study proposes a research model that compares the relative importance of perceived value and online trust to perceived usefulness in influencing consumers’ repurchase intention. The proposed model is tested using data collected from online consumers of e-commerce. The findings show that although trust and e-commerce adoption components are critical in influencing repurchase intention, product evaluation factors are also important in determining repurchase intention. Perceived quality is influenced by the perceptions of competitive price and website reputation, which in turn influences perceived value; and perceived value, website reputation, and perceived risk influence online trust, which in turn influence repurchase intention. The findings also indicate that the effect of perceived usefulness on repurchase intention is not significant whereas perceived value and online trust are the major determinants of repurchase intention. Major theoretical contributions and practical implications are discussed. 相似文献
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The number of firms that intend to invest in big data analytics has declined and many firms that invested in the use of these tools could not successfully deploy their project to production. In this study, we leverage the valence theory perspective to investigate the role of positive and negative valence factors on the impact of bigness of data on big data analytics usage within firms. The research model is validated empirically from 140 IT managers and data analysts using survey data. The results confirm the impact of bigness of data on both negative valence (i.e., data security concern and task complexity), and positive valence (i.e., data accessibility and data diagnosticity) factors. In addition, findings show that data security concern is not a critical factor in using big data analytics. The results also show that, interestingly, at different levels of data security concern, task complexity, data accessibility, and data diagnosticity, the impact of bigness of data on big data analytics use will be varied. For practitioners, the findings provide important guidelines to increase the extent of using big data analytics by considering both positive and negative valence factors. 相似文献
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mHealth under the umbrella of eHealth has become an essential tool for providing quality, accessible and equal health care services at an affordable cost. Despite the potential benefits of mHealth, its adoption remains a big challenge in developing countries such as Bangladesh. This study aims to examine the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors. It also examines the moderating effect of gender on the intention to use and on the actual usage behavior of users of mHealth services. A well-structured face-to-face survey was employed to collect the data. Structural equation modeling (SEM) with a partial least squares method was used to analyze the data collected from 296 generation Y participants. The results confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt mHealth services. However, effort expectancy and price value did not have a significance influence on the behavioral intention. Moreover, Gender has a significant moderating effect on mHealth services adoption in certain cases. Finally, the theoretical and practical implications of this study are also discussed. 相似文献
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Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm. 相似文献
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The roles of habit and web site quality in e-commerce 总被引：1，自引：0，他引：1
Previous research has primarily examined consumers’ perceived usefulness of web sites and trust in the web retailer as two major predictors of web site use and e-commerce adoption. While the consumers’ repeated behavior in the past (i.e., habit) may contribute to continuance behavior, it has not been investigated. This article includes habit as a primary construct along with perceived usefulness and trust to predict and explain consumers’ continued behavior of using a B2C web site. Additionally, included are several web quality measures as antecedents to trust and perceived usefulness. The research model is evaluated using structural equation modeling. Results show that consumers’ behavioral intentions to continue using a B2C web site are determined by all three key drivers: perceived usefulness, trust, and habit. Furthermore, not all dimensions of web quality have a significant effect on perceived usefulness and trust. 相似文献
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为识别健康科技产品购买意愿的影响因素,通过整合TAM理论、创新扩散理论、大五人格模型和健康信念模型,从产品和消费者特征的视角出发并充分考虑性别和健康信念的调节作用并提出研究假设构建理论模型.以苹果iWatch和小米手环的潜在消费者为研究样本问卷调研获取300份有效问卷,利用SPSS和SmartPLS软件验证假设和模型.结果表明,感知有用性、感知可靠性和消费者创新性均正向影响健康科技产品的购买意愿,其中消费者创新性还会受到外向型人格特质的直接影响;健康信念正向调节感知有用性对购买意愿的影响;性别能调节消费者创新性对购买意愿的影响. 相似文献
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Nowadays, using increasingly granular data, from real-time location information and detailed demographics to consumers-generated content on the social networking sites (SNSs), businesses are starting to offer precise location-based product recommendation services through mobile devices. Based on the technology acceptance model (TAM), this paper develops a theoretical model to examine the adoption intention of active SNS users toward location-based recommendation agents (LBRAs). The research model was tested by using the Partial Least Squares (PLS) technique. The results show that perceived usefulness, perceived control, and perceived institutional assurance are important in developing adoption intention. Perceived effort saving, special treatment, and social benefit have influences on the adoption intention through the mediating effect of perceived usefulness. Perceived accuracy has direct influence on adoption intention. 相似文献
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A longitudinal study of the actual value of big data and analytics: The role of industry environment
Despite the popularity of big data and analytics (BDA) in industry, research regarding the economic value of BDA is still at an early stage. Little attention has been paid to quantifying the longitudinal impact of organizational BDA implementation on firm performance. Grounded in organizational learning theory, this study empirically demonstrates the impact of BDA implementation on organizational performance and how industry environment characteristics moderate the BDA-performance relationships. Using secondary data regarding BDA implementation from 2010 to February 2020, we find that BDA implementation has a significant impact on two types of business value creation: operational efficiency and business growth. Furthermore, the impact of BDA on operational efficiency is amplified in less dynamic and complex environments, while the BDA-business growth relationship is more pronounced in more dynamic, complex, and munificent environments. Collectively, this study provides a theory-centric understanding of BDA’s economic benefits. The findings offer insights to firms about what actual benefits BDA implementation may generate and how firms may align the use of BDA with the industry environments they are operating in. 相似文献