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The purpose of this paper is to clarify the influence of status quo on information system (IS) adoption. Organizations often substantially allocate resources to leverage existing IT investments. The incumbent system deployment and the institutional environment will exert the influence on the new IS adoption of firms. The findings provide insights for explaining why firms conservatively react toward an emerging IT innovation.

The research design of the present study is consisted of the following steps. First, the related theoretical foundations of system adoption are reviewed for constructing the research framework. Second, based on the status quo bias theory, this study proposes a conceptual model. Third, the research data set was constructed through collecting manuscripts by conducting journal-by-journal searching in electronic databases. Finally, the protocol proposed by Lipsey and Wilson (2001) was used to conduct the meta-analysis.

Through a meta-analysis with 34 published studies, this study provides three observations. First, the results provide supports for the magnitude and significance of proposed relationships. Second, the relationships between status quo factors, expectations, and IS adoption are indeed related. Third, the considerable variability across effect sizes can be attributed to the type of adoption, the type of focal system, and the type of institutional pressures.

Although the meta-analytic results provide supports for the significance and magnitude of proposed relationships, the follow-up manuscripts searching and further analyses are needed.

This research presents a collective understanding of systems adoption from status quo bias perspective. The findings provide insights for further researches on IS adoption.

This paper aims to revisit the adoption reasons of enterprise systems (ES) and supply chain management systems (SCMS) and to explore the new dimensions of sustainability required to be added in the whole process of adoption of these systems. Moreover, it aims to explore the benefits of ES to organizations and to relate these benefits to the ES adoption in future sustainable city settings. Future cities will have micro-industries requiring dynamic interactions and will be dependent on efficient supply chains. The recent developments in information and communications technology (ICT) such as cloud computing through its dynamic, on-demand and service-based delivery are making it possible to achieve those goals for supply chains. The ES in general and more specifically SCMS have integrated organizations into one seamless mesh.

This paper presents a framework for adoption of sustainable ES in a smart city setting. The framework, firstly, is presented at a macro-level, particularly incorporating the relative significance of motivational factors for sustainable ES adoption. Subsequently, The authors study the benefits of ES as perceived by large and small and medium enterprise (SME) organizations using 100 case studies and discuss how these benefits can be realized for smart cities by projecting the ES benefits onto the proposed framework. The benefits are estimated with the Shang and Seddon’s (2002) framework.

The adoption of ES initiated with environmental factors and mediated with business and technical factors will bring benefits in all the dimensions of triple bottom line in addition to the firm’s performance. ES will have pivotal role in future smart city settings and will be able to offer social, environmental and economic sustainability in addition to traditional organizational performance indicators.

The proposed framework for ES adoption will bring ES packages (particularly, the required relative significance of adoption reasons) into the perspective of sustainable development. Moreover, the study of its benefits in relation to the proposed sustainable ES adoption framework presented in this paper will help in motivating organizations to incorporate social, economic and environmental sustainability into their core business objectives.

Social question and answer (Q&A) systems have been rapidly developed on many e-commerce websites. The purpose of this paper is to explore how social Q&A systems influence consumers' information processing and purchase intention.

The authors design this research based on the information adoption model (IAM). First, the auhors consider the impacts of the central route (information factor) and peripheral route (social factor) on consumers' perception of information usefulness in Q&A systems. Then, the authors verify the influence of information and social aspects on purchase intention and empirically test the model with structural equation modelling (SEM) using 428 effective data samples.

On the whole, the authors prove that purchase intention is influenced by information and social aspects, which are two paths in Q&A systems. Specifically, both answer quality and social presence positively influence information usefulness. Interestingly, respondent credibility and answer consistency do not significantly impact information usefulness. Moreover, information usefulness positively affects information adoption, which positively affects consumer purchase intention.

This paper provides insights on social Q&A system mechanism design.

First, this paper is a useful complement to the research on social Q&A systems on e-commerce websites. Second, the authors provide a new theoretical lens through which the impacts of social Q&A systems on e-commerce websites are understood by extending the IAM. Third, the authors add answer consistency into original information process routes, which obtains a finding that is different from those of prior research.

With the proliferation of ideas submitted by users in firm-built online user innovation communities, community managers are faced with the problem of user idea overload. The purpose of this paper is to explore the influencing factors on the idea adoption to identify high quality ideas, and then propose a method to quickly filter high value ideas.

The authors collected more than 110,000 data submitted by Xiaomi community users and analyzed the factors affecting idea adoption using a multinomial logistic regression model. In addition, the authors also used BP neural network to predict the idea adoption process.

The empirical results show that idea semantics, number of likes, number of comments, number of related posts, the existence of pictures and self-presentation have positive impact on idea adoption, while idea length and idea timeliness had negative impact on idea adoption. In addition, this paper calculates the idea evaluation value through the idea adoption process predicted by neural network and the mean value of idea term frequency inverse document frequency (TF-IDF).

This empirical study expands the theoretical perspective of idea adoption research by using dual-process theory and enriches the research methods in the field of idea adoption research through the multinomial logistic regression method. Based on our findings, firms can quickly identify valuable ideas and effectively alleviate the information overload problem of online user innovation communities.

The purpose of this study is to examine the factors influencing the usage of cloud-based accounting information systems (AIS) in the crisis era (i.e. the COVID-19 pandemic) by expanding the unified theory of acceptance and use of technology (UTAUT) with new related critical factors.

A quantitative research approach based on a cross-sectional online questionnaire was used for collecting empirical data from 438 potential and current users of cloud-based AIS. Structural equation modeling based on analysis of a moment structures 25.0 was applied in the data analysis.

The outcome of the structural path revealed that performance expectancy, social motivation, COVID-19 risk (COV-19 PR) and trust (TR) were significantly influencing users’ behavioral intention (BI) toward using cloud-based AIS and explained 71% of its variance. While, contrary to what is expected, the impact of effort expectancy and perceived security risk (SEC) on BI was insignificant. In addition, BI was revealed to influence the actual usage behaviors and explained 74% of its variance. The outcome factors: communication quality (CQ) and decision quality (DQ) were significantly influenced by the usage of cloud-based AIS.

The current research would be valuable for small- and medium-sized enterprises officials and policymakers to illustrate the relatively low rates of cloud-based AIS and formulate strategies to boost the acceptance and use of cloud-based AIS by Jordanian users, where cloud-based services are still deemed as an innovation.

To the best of the authors’ knowledge, the current study is the first academic paper that extends the UTAUT by integrating additional factors: TR, SEC and COV-19 PR. In addition to two outcome variables: CQ and DQ, to study the cloud-based AIS in the Jordanian setting beyond the COVID-19 pandemic. The current research contributes to the academic knowledge on information technology information system adoption by considering cloud accounting acceptance and use and integration into the work practices of users through the BIs and actual use of cloud-based AIS in Jordan.

The limited success of electronic health records (EHRs) implementation in the healthcare services in general, and a national EHR in particular, requires better understand and documentation of the current drivers and inhibitors of EHR adoption, together with a definition of a national EHR. This paper aims to address these issues.

Factors affecting EHR adoptions are elicited from extant literature and the stakeholder/actor framework is used as the theoretical framework. The multiple case study approach is used as the research method, and data are collected in Ireland and Israel by interviews and analysed using text coding methods.

Factors elicited in the literature are generally corroborated, yet the salient factor on the localized perspective appears to be the degree of centralization of the healthcare services; while different factors affect the national perspective. In summary, it seems that Israel is more ready for national EHR implementation than Ireland due to the high level of computerization and high levels of integration of primary and secondary care patient data.

Contribution to research is in the definition of a national EHR, the illustration of various levels of analysis and their relative impacts on EHR adoption, the analysis framework, and by showing that EHR adoption is a top‐down, change management process.

EHR adoption should be driven by a powerful actor in the healthcare sector addressing the need for a high level of integration within and between care levels, while focusing on clinicians' requirements. Technological and legislative infrastructures are mandatory for establishing a national EHR.

Data for this study are collected in two countries that represent different healthcare structures, one being highly centralized while the other is just the opposite. These differences provide an additional interesting lens through which factors affecting EHR adoption can be assessed. As far as we know, not many previous studies have compared EHR adoption across two diverse healthcare systems.

Despite the major information technology investments made by public institutions, the reuse of e-government services remains an issue as citizens hesitate to use e-government websites regularly. The purpose of this study is to investigate the cross-country determinants of e-government reuse intention by proposing a theoretical model that integrates constructs from (1) the Delone and McLean IS success model (i.e. system quality, service quality, information quality, perceived value and user satisfaction); (2) the trust and risk models (i.e. citizen trust, overall risk, time risk, privacy risk and psychological risks); and (3) Hofstede's cultural model (i.e. uncertainty avoidance, masculinity, individualism and cross-cultural trust and risk).

Based on data from interviews with 81 Kuwaiti citizens and surveys of 1,829 Kuwaiti and Polish citizens, this study conducted comprehensive, cross-cultural and comparative analyses of e-government reuse intention in a cross-country setting.

The results show that trust is positively associated with citizens' intention to reuse e-government services, whereas risk is negatively associated with citizens' perceived value. This study also found that masculinity–femininity and uncertainty avoidance are positively associated with the intention to reuse e-government services and that individualism–collectivism has no significant relationship with reuse intention. This study's findings have important implications for researchers and practitioners seeking to understand and improve e-government success in cross-country settings.

This study developed a parsimonious model of quality, trust, risk, culture and technology reuse that captures country-specific cultural contexts and enables us to conduct a comprehensive, cross-cultural and comparative analysis of e-government reuse intention in the cross-country setting of Kuwait and Poland.

This study aims to investigate users’ adoption of bike sharing systems in China.

This research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data.

The findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems.

It is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information.

This study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China.

本论文旨在研究用户在中国使用共享单车系统的情况。

本论文结合感知风险因素和多个技术扩散理论（比如TAM, UTAUT）来开发一个研究模型, 以研究用户在中国使用共享单车系统的情况。因此, 本论文用十一条假设搭建了一个研究模型。这个研究模型使用问卷采样方式, 收取298份中国用户问卷, 来进行测量。样本通过结构方程模型来进行分析测量。

研究结果表明, 感知实用性、辅助条件、感知风险等是重要因素, 决定着共享单车系统的使用。然而, 方便使用和社会影响等因素对用户使用共享单车系统的意向并没有显著积极影响。

研究型论文

服务提供者投入时间和精力来维护维修单车是非常重要的, 这样能保证单车保持在良好的状态以备用户使用。系统供应商需要找到好的解决方式, 来更好地保护个人信息和地点信息。

本论文是首个类似论文, 结合技术扩散理论和感知风险理论, 在中国研究共享单车系统的使用情况。

UTAUT, TAM, 感知风险, 共享单车系统,使用

To examine the impact of organizational learning factors (training available, technical expertise, and knowledge level) and knowledge management processes (knowledge acquisition, knowledge application, and knowledge sharing) on e‐business systems adoption level.

The data from a survey of 202 IS executives in Taiwan were used empirically to test the proposed research model. Moreover, confirmatory factor analysis was conducted to examine the reliability and validity of the measurement model, and the structural equation modelling technique was used to evaluate the research model.

The analytical results showed that organizational learning factors and knowledge management processes are closely related to the level of e‐business systems adoption. However, knowledge sharing did not significantly affect e‐business systems adoption level.

Future studies could seek an enhanced understanding of the impacts on the level of e‐business adoption of the organizational learning and knowledge management factors investigated in this paper through structured interviews and case studies of IS executives dealing with ongoing or recently completed e‐business systems projects.

Owner/managers considering e‐business systems adoption would be best to focus on both social and technical factors, and their interaction within and beyond the organization, rather than focusing exclusively on technological considerations.

This paper has implications for e‐business managers or policy‐makers in formulating policies and targeting appropriate organizational capabilities to ensure effective adoption of e‐business systems.