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1.
This study aimed to investigate the issue of consumer intention to disclose personal information via mobile applications (apps). Drawing on the literature of privacy calculus theory, this research examined the factors that influence the trade-off decision of receiving perceived benefits and being penalized with perceived risks through the calculus lens. In particular, two paths of the direct effects on perceived benefits and risks that induce the ultimate intention to disclose personal information via mobile apps were proposed and empirically tested. The analysis showed that self-presentation and personalized services positively influence consumers’ perceived benefits, which in turn positively affects the intention to disclose personal information. Perceived severity and perceived control serve as the direct antecedents of perceived risks that negatively affect the intention of consumers to disclose personal information. Compared with the perceived risks, the perceived benefits more strongly influence the intention to disclose personal information. This study extends the literature on privacy concerns to consumer intention to disclose personal information by theoretically developing and empirically testing four hypotheses in a research model. Results were validated in the mobile context, and implications and discussions were presented.  相似文献   

2.
There has been an increased usage and popularity of digital platforms during the COVID-19 crisis. This has resulted in many new types of digital platforms emerging that are tied to specific localities and based on emergent needs. This article presents the results of a study on the ClickforVic digital platform that was started during the first 2020 lockdown in Melbourne, Australia as a way for country farmers to connect with urban consumers. The study is premised on transformational entrepreneurship theory that enables a focus on the societal changes that have resulted from the COVID-19 pandemic. A semi-structured in-depth interview approach was utilised to understand how farm entrepreneurs perceived the digital platform and how this contributed to transformational entrepreneurship outcomes. The study is amongst the first to incorporate a digital platform, farm entrepreneurship, transformational entrepreneurship and COVID-19 perspective. The findings suggest that farm entrepreneurs are driven by financial, social and community goals during a crisis that influences their usage of digital platforms. As a consequence, the findings contribute to managerial practice and policy debate by highlighting the way digital platforms can be used in times of crisis to produce transformational entrepreneurship outcomes.  相似文献   

3.
《Research Policy》2022,51(1):104393
In this paper we draw a parallel between the insights developed within the framework of the current COVID-19 health crisis and the views and insights developed with respect to the long term environmental crisis, the implications for science, technology and innovation (STI) policy, Christopher Freeman analyzed already in the early 90′s. With at the time of writing, the COVID-19 pandemic entering in many countries a third wave with a very differentiated implementation path of vaccination across rich and poor countries, drawing such a parallel remains of course a relatively speculative exercise. Nevertheless, based on the available evidence of the first wave of the pandemic, we feel confident that some lessons from the current health crisis and its parallels with the long-term environmental crisis can be drawn. The COVID-19 pandemic has also been described as a “syndemic”: a term popular in medical anthropology which marries the concept of ‘synergy’ with ‘epidemic’ and provides conceptually an interesting background for these posthumous Freeman reflections on crises. The COVID-19 crisis affects citizens in very different and disproportionate ways. It results not only in rising structural inequalities among social groups and classes, but also among generations. In the paper, we focus on the growing inequality within two particular groups: youngsters and the impact of COVID-19 on learning and the organization of education; and as mirror picture, the elderly many of whom witnessed despite strict confinement in long-term care facilities, high mortality following the COVID-19 outbreak. From a Freeman perspective, these inequality consequences of the current COVID-19 health crisis call for new social STI policies: for a new “corona version” of inclusion versus exclusion.  相似文献   

4.
In light of continuing use and media attention placed on cloud computing, the study of ethical behaviour in technology innovations remains an important area of research, which helps to understand the antecedents of a person's intention to adopt cloud computing based on their ethical orientation. The present study examines how ethics influences a person's decision to adopt cloud computing, and how in turn ethical behaviours affect technology innovations. Based on social cognitive theory, this paper proposes that a higher ethical and entrepreneurial orientation will lead to a person adopting cloud computing. Moreover, the marketing, learning and outcome expectancy a person has about cloud computing will positively affect their intention to adopt this technology. The predictions are tested through a survey, which indicates that ethics and marketing are important determinants of a person's behavioural intention towards technology innovations.  相似文献   

5.
This paper examines the relative importance and significance of the four technology enablers introduced by Davis (1989) in the technology acceptance model (TAM) (perceived ease of use, perceived usefulness, attitude towards using and behavioural intention) for use on four different levels of citizen engagement in e-government (null, publish, interact and transact). An extended technology acceptance model (TAM) is developed to test citizen engagement towards online e-government services from a sample of 307 citizens who used the benefits advisor tool within a Spanish City Hall. Although the proposed model follows TAM and explains the intention towards the actual use of e-government by postulating four direct determinants, “A, PU, PEOU and BI” have been considered as parallel processes, meaning that each can have separate influence in different levels of citizen engagement. To achieve this goal, a multinomial logistic regression is developed and tested to confirm the explanatory power of the four technology enablers on the four different levels of e-government. Our findings further suggest that in order to implement e-government, some of the enablers matter more than others to move from one level of citizen engagement to another. The main contribution of the paper is to question the use of existing models which seek to represent the relationship between technology enablers and the adoption of e-government services without considering their impacts on citizens’ engagement. The implications of the findings are discussed and useful insights are provided in relation to policy recommendations geared to create appropriate conditions to build citizens’ engagement intent of use of e-government services.  相似文献   

6.
Smart cities are developing at increasing speed. Smart cities rely on the deployment of information and communication technology (ICT) that is digitally transforming our habitats. Digital transformation affects several areas from transportation, energy, government to the environment. But, primarily, it affects citizens. Therefore, the adoption of all areas of the smart city holds great research potential. The purpose of this paper is thus to provide an insight into millennials’ adoption of autonomous vehicles (AV), which are at the forefront of future transport. Millennials are an important focus group for smart city concepts since they are keen to adopt technology and new transport modes. Our research focuses on technology adoption, perception of the benefits, security, safety, mobility-related efficiencies and concerns as the key AV adoption factors. The impact of these factors is empirically tested with structural equation modelling using data from 382 millennials. We confirm the perceived benefits of AV are vital factors for AV adoption whereas the perceived safety of AV significantly reduces the influence of various concerns regarding AV.  相似文献   

7.
The impact of cognitive and emotional factors on the customer's decision to adopt a new technology has long been at the core of innovation and marketing literature. Today, the proliferation of personal technologies makes the understanding of the adoption process of such innovations a vital issue. This article, moving from long-established technology adoption theories, integrates affective factors to propose a comprehensive framework to interpret and orient innovation and marketing approaches of companies. To do this, we review a rich literature from the domains of management, information systems, marketing and cognitive psychology, identifying six possible sources of perceived value for personal technologies, hence attitude to adopt them: functional value, monetary value, social value, entertainment value, epistemic value and aesthetic value. After defining and framing them in the extant literature, we discuss how the framework may be adopted in practice to support Companies' strategies in the surprisingly under-explored industry of personal technologies.  相似文献   

8.
朱红灿  陆碧琪 《现代情报》2017,37(5):105-110
基于制度理论,从制度和技术角度出发,通过探索制度和技术因素如何对公众政府信息网络渠道使用意愿的影响以及二者间的制约关系,构建了公众政府信息获取网络渠道使用意愿影响因素模型,并运用结构方程模型对模型进行了检验。结果表明,感知网络舆情应对、感知信息时效性、民主权利意识等六大因素对于公众政府信息获取网络渠道使用意愿产生显著影响,同时制度因素中的感知信息安全监管、感知网络舆情应对二者对技术因素中的感知信息服务影响显著。  相似文献   

9.
This paper examines empirically the factors that affect the adoption of Internet banking by Tunisian bank customers. As base model, we use the technology acceptance model (TAM) and theory of planned behavior (TPB). The model employs security and privacy, self efficacy, government support, and technology support, in addition to perceived usefulness, perceived ease of use, attitude, social norm, perceived behavior control and intention to use Internet banking. Structural equation modeling is employed to examine the inter-correlations among the proposed constructs. A survey involving a total of 284 respondents is conducted and confirmatory factor analysis was used to determine the measurement efficacies. Theoretically, this study confirms the applicability of the TAM model and TPB in predicting Internet banking adoption by Tunisian bank customers. The results allow banks' decision makers to develop strategies that can encourage the adoption of Internet banking. Banks should improve the security and privacy to protect consumers' personal and financial information, which will increase the trust of users. Government should also play a role to support bank industry by having a clear and solid law on this will ensure that customers are more confident for using Internet banking, ensuring a better Internet infrastructure and helps them to encourage users to use Internet banking. Lastly, Tunisian Banks should focus on those clients who already have a home PC, access Internet and more educated and younger since they are the most likely to adopt Internet banking.  相似文献   

10.
张育玮  邢雯  徐茜  关记兴 《科研管理》2019,40(11):175-184
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   

11.
张育玮  邢雯  徐茜  关记兴 《科研管理》2006,40(11):175-184
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   

12.
Based on the Elaboration Likelihood Model (ELM), this study identifies the differences between perceived privacy risks and privacy concern. Furthermore, the study analyses how perceived privacy risks and privacy concerns affect the disclosure intention and the actual information disclosure behavior of Internet users. In addition, the study discusses the moderating effects of platform types, from the perspective of privacy elaboration likelihood. By applying meta-analyses and SEM on 104 independent studies with 42,256 samples from existing empirical studies, we attempt to systematically reveal the relationship between privacy cognition and information disclosure. The results show that perceived privacy risks can significantly reduce personal information disclosure intention, as well as actual information disclosure behavior. However, privacy concerns only affect disclosure intention, but do not have a significant effect on actual information disclosure behavior. The study also verified that platform types have moderating effects on the privacy decision making of Internet users. The findings yield important and useful implications, both for research and for practice.  相似文献   

13.
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   

14.
Achieving the promised benefits of a new technology is closely tied to its sustained use. The dominant approach has been to predict use based on behavioral intention. Central to this approach is the assumption that use comes from conscious decision making, resulting from “thinking”, “reflecting”, and “cognition”. However, related work has shown that, over time and with increasing experience, use becomes habitual (routine, automatic) and when this happens, it is not subject to conscious decision making. This paper extends the technology adoption and use literature by testing the relative effects of intention and habit as determinants of use. We conducted a longitudinal field study over the period of one year, with 4 points of measurement in 7 organizations among 1235 users, to examine the effects of intention and habit from the formative stage of experience with a new technology through to an established, stable stage. The results provided strong support for habit as a predictor of use, especially over time, as use became well-rehearsed, and habit was a stronger determinant of use than intention was. In fact, habit dominates intention as a predictor of use, as experience increases. We discuss key implications for research and practice.  相似文献   

15.
In this digital era, it is important to make a wise course choice since the building blocks of a career starts from choosing the career-specific course. With the number of online courses available, it is tough to differentiate a relevant career-focused course from a mediocre one. Hence, the authenticity and validity of a particular course influence the career choice of individuals. The other important factor is perceived benefits. Additionally, an increasing number of educational businesses has already integrated or plans to integrate social media applications into their marketing plans to reach and attract future students, thus showing a shift from traditional ways of marketing. As the nature of this study is both purposive as well as probabilistic, a mixed method approach has been chosen. The study consists of two phases: the exploratory research process consisting of the literature review, the semi-structured interviews with information technology professionals to form the questionnaire and hypotheses. The researchers found that through personal inputs strongly influence the learning experiences, authenticity and perceived benefits of a course plays the most important role in the individual’s decision to adopt a technical course. The practical and research implications have also been discussed.  相似文献   

16.
While Interactive systems such as Chatbots, are well known in personal environments with technologies like “Apple’s Siri” or the “Google’s Assistant”, the acceptance of said technologies in the enterprise context has hardly been examined. Literature shows that these technologies hold great potential for enterprises as they can increase productivity and are cost-efficient by automating processes. Still, to not alienate employees when introducing these systems called Enterprise Bots in this paper, it is crucial to understand how employees accept and adopt these new systems. This paper derives a research model based on the decomposed Theory of Planned Behaviour, which is tested in a survey with 198 participants. Results from a structural equation model show that intrinsic motivation of the employees has a strong positive influence on the intention to use Enterprise Bots whereas external influences showed smaller effects. The results indicate that it is important that employees are convinced of the usefulness of a tool for themselves. The paper provides theoretical insights and helps decision makers to introduce such systems.  相似文献   

17.
Coronavirus disease 2019 (COVID-19) pandemic represents a scientific and social crisis. One of the main unmet needs for coronavirus disease 2019 is its unpredictable clinical course, which can rapidly change in an irreversible outcome. COVID-19 patients can be classified into mild, moderate, and severe. Several haematological parameters, such as platelets, white blood cell total count, lymphocytes, neutrophils, (together with neutrophil-lymphocyte and platelet-lymphocyte ratio), and haemoglobin were described to be associated with COVID-19 infection and severity. The purpose of these review is to describe the current state of the art about complete blood count alterations during COVID-19 infection, and to summarize the crucial role of some haematological parameters during the course of the disease. Decreased platelet, lymphocyte, haemoglobin, eosinophil, and basophil count, increased neutrophil count and neutrophil-lymphocyte and platelet-lymphocyte ratio have been associated with COVID-19 infection and a worse clinical outcome. Our study adds some novelty about the identification of effective biomarkers of progressive disease, and might be helpful for diagnosis, prevention of complications, and effective therapy.  相似文献   

18.
个人云存储拥有广泛用户群体,为揭示用户特征对其使用个人云存储感知和意愿的影响,本文通过问卷调查收集数据,采用单因素方差分析方法,将用户特征视为控制变量,将用户使用感知和意愿作为因变量,分析用户特征对个人云存储使用的影响。结果显示:对使用感知和意愿影响较多的因素依次是个人云存储使用频次、个人云存储使用年限、个人云存储使用情境和用户是否具有计算机专业背景,其中个人云存储使用频次对所有因变量都有显著影响;而人口统计学特征总体来说影响不大,其中年龄和职业对所有的因变量影响都不显著。在因变量中,受个体特征影响最大的变量是感知易用性,分别受到性别、是否具有计算机专业背景、个人云存储使用年限、频次和情景的影响,其次受用户特征影响的因变量是感知有用性、感知信任和使用意愿。  相似文献   

19.
Various technology innovations and applications have been developed to fight the coronavirus pandemic. The pandemic also has implications for the design, development, and use of technologies. There is an urgent need for a greater understanding of what roles information systems and technology researchers can play in this global pandemic. This paper examines emerging technologies used to mitigate the threats of COVID-19 and relevant challenges related to technology design, development, and use. It also provides insights and suggestions into how information systems and technology scholars can help fight the COVID-19 pandemic. This paper helps promote future research and technology development to produce better solutions for tackling the COVID-19 pandemic and future pandemics.  相似文献   

20.
The COVID-19 pandemic has spurred a large amount of experimental and observational studies reporting clear correlation between the risk of developing severe COVID-19 (or dying from it) and whether the individual is male or female. This paper is an attempt to explain the supposed male vulnerability to COVID-19 using a causal approach. We proceed by identifying a set of confounding and mediating factors, based on the review of epidemiological literature and analysis of sex-dis-aggregated data. Those factors are then taken into consideration to produce explainable and fair prediction and decision models from observational data. The paper outlines how non-causal models can motivate discriminatory policies such as biased allocation of the limited resources in intensive care units (ICUs). The objective is to anticipate and avoid disparate impact and discrimination, by considering causal knowledge and causal-based techniques to compliment the collection and analysis of observational big-data. The hope is to contribute to more careful use of health related information access systems for developing fair and robust predictive models.  相似文献   

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