Enterprise systems knowledge,beliefs, and attitude: A model of informed technology acceptance

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.     

Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

The digitalization phenomenon is leveraging new relationship models through the entire supply chain network. In this outlook, blockchain is a cutting-edge technology that is already transforming and remodeling the relationships between all members of logistics and supply chain systems. Yet, while studies on blockchain have gained a relative pace over the recent years, the literature on this topic does not report sufficient research cases on blockchain adoption behavior at the individual level. The present study, therefore, aims to bridge this gap, notably by helping understand the individual blockchain adoption behavior in the logistics and supply chain field in India and the USA. Drawing on the emerging literature on blockchain, supply chain and network theory, as well as on technology acceptance models (TAMs), we have developed a model based on a slightly-altered version of the classical unified theory of acceptance and use of technology (UTAUT). The model being developed was then estimated using the Partial least squares structural equation modeling (PLS-SEM). As the model was eventually supported, the results obtained revealed the existence of distinct adoption behaviors between India-based and USA-based professionals. In parallel, the findings appear as a useful contribution to and a sign of progress for the literature on IT adoption, SCM, and blockchain.     

Network effects in technology acceptance: Laboratory experimental evidence

This research analyzes network effects in technology acceptance. The hypothesis is that the size of the user network affects technology acceptance. Even today, empirical measurement of network effects is challenging and there is a lack of experimental evidence. In order to investigate and measure the relationship between network size (number of adopters) and user acceptance, technology acceptance research needs to broaden its scope and approaches. To overcome this limitation we reproduce a particular type of technology acceptance process in a laboratory experiment, controlling for user network size and testing its influence on user perceptions and, ultimately, on acceptance decisions. We measured user perceptions and analyzed the data using consolidated and tested technology acceptance models. The results confirm our hypothesis, showing a significant effect of user network size on user perceptions. Finally, we discuss the theoretical and managerial implications of our approach and findings.     

The mediating effects of habit on continuance intention

How do the behavioral-cognitive-emotional constructs of attitude, satisfaction, and habit drive consumer continuance intention of incumbent mobile technologies? From a survey of 528 consumers, we ran two structural equation models: model #1 is a base model of direct effects of attitudes and satisfaction on continuance intention; model #2 adds habit as a mediator variable. We show that consumer attitudes are stronger predictors of continuance intention, without mediation effects from habit. Consumer satisfaction only weakly predicts continuance intention and is mediated by habit. While satisfaction is correlated with consumer attitude, and satisfaction is correlated with habit, consumer attitudes seem unrelated to any habits. Attitude seems to be the strongest determinant of continuance intention; second, in the absence of compelling rational data, or given beliefs that competitors are largely undifferentiated, consumers might continue using the same product. Such complex interactions between variables may not be adequately captured in a straightforward variance model, however this study extends research in habit and continuance intention and provides for future research exploring the importance of habit over satisfaction and predominance of consumer attitudes in predicting continuance intention.     

In- and extra-role knowledge sharing among information technology professionals: The five-factor model perspective

Knowledge is a valuable asset, and knowledge sharing (KS) among employees is particularly important in knowledge-based organizations. This study proposes and investigates two types of KS: in- and extra-role. In-role KS is based on role expectations, and extra-role KS extends beyond role expectations. This study also investigates the antecedents and consequences of the two types of KS among information technology (IT) professionals. The five-factor model is applied to build the research model. The results reveal that among IT professionals, openness to experience, conscientiousness, agreeableness, and neuroticism influence in- or extra-role KS. Unexpectedly, extroversion has no effect on either, indicating the unique behavior of IT professionals compared with others. The study also shows that both in- and extra-role KS have positive effects on team cohesion. Academic and practical implications are provided based on the research findings.     

社会规范对技术接受行为的影响机制研究

人们为什么会接受或拒绝某项信息技术呢?在先前提出的众多预测或解释变量中,社会规范是经常被提及的一类重要影响因素。针对目前相关研究暴露出来的混淆性、片面性、以及实证结论不一等问题,本文基于信息技术应用的特定背景,从界定社会规范的两种不同成分,即强制成分和内化成分入手,阐明了它们对用户外显行为和心理感知的两种影响机制———强制机制和内化机制,所提假设在两个实证调查案例中得到支持。     

项目团队成员怠工行为的传导与抑制因素研究

为探索项目团队成员怠工行为的传导与抑制因素,本文在项目团队成员怠工行为引发因素研究的基础上,构建项目团队成员工作态度在工作情境认知与怠工行为之间的中介作用假设、团队文化认知在工作情境认知与工作态度之间的调节作用假设.采用实证研究方法,对上述关系假设进行检验.检验结果表明,项目团队成员团队承诺在不公正认知与消极怠工之间、团队工作满意度在角色压力认知与玩闹行为之间具有中介作用;团队精神认知在不公正认知与团队承诺之间、角色压力认知与团队工作满意度之间均具有负向调节作用.研究得出结论,项目团队成员团队承诺、团队工作满意度是消极怠工、玩闹行为的传导因素;而团队精神认知则是消极怠工、玩闹行为的抑制因素.     

Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity

This study develops and empirically tests a theoretical extension of a technology acceptance model that integrates intrinsic and extrinsic motivators into IT acceptance to predict the adoption of social media within the workspace. The model was tested using cross-sectional data collected from different workplaces in different geographic regions. To detect the homogeneity of users’ behavior, we used a response-based procedure for partial least squares. The model was strongly supported for the global model. Our results revealed the existence of distinct adoption behaviors for different groups within the overall sample. These findings advance theory and contribute to future research on social media adoption.     

The user multifaceted expertise: Divergent effects of the website versus e-commerce expertise

Expertise is a key factor in user’s adaptation and evaluation of the IT artifact. To date however, research has widely disregarded the notion that expertise is multifaceted and, consequently, its effects should vary according to the facet measured. To address this gap, the present research shows the effects of a facet of expertise rarely studied – expertise with the artifact such as an e-commerce site (website expertise) – besides the effects of expertise with the artifact class (e-commerce expertise). It is stipulated that site expertise shapes the site use and acceptance differently and more profoundly than e-commerce expertise. The results show that users with low (vs. high) site expertise perceived the site as less easy to use, and their site acceptance was more (less) strongly influenced by the site information quality. Alternatively, e-commerce expertise played a different moderating role in the acceptance process, and users with low e-commerce expertise did not perceive the site as less easy to use. The results were replicated in a second study conducted in a different culture. The findings support the research main thesis that expertise is multifaceted and, therefore, considering the different facets is necessary to understand the process of user acceptance of the IT artifact.     

IT engagement as a blessing and a curse? Examining its antecedents and outcomes in organizations

Information technology (IT) engagement is defined as a need to spend more time using IT. Practice-based examples show that IT engagement can have adverse effects in organizations. Although users can potentially get more work done through IT engagement, observations show that the users might jeopardize their well-being and hamper their work performance. We aimed to investigate this complexity in the research on IT engagement by examining its potential antecedents and outcomes in organizations. Considering the potentially mixed outcomes, we developed a model to examine the effects of IT engagement on personal productivity and strain. We also aimed to explain the antecedents of IT engagement by drawing on the collective expectations for IT use. In particular, we examined the extent to which normative pressure on IT use drives users’ information load and IT engagement. Finally, we sought to understand whether users’ attempts to avert dependency on IT use reduced their IT engagement. Several hypotheses were developed and tested with survey data of 1091 organizational IT users. The findings help explain the role of normative pressure as a key driver of IT engagement and validate the positive and negative outcomes of IT engagement in organizations.     

工业互联网平台使用意愿影响因素研究

为了深入理解制造企业接受和采用工业工业互联网平台的显著影响因素,基于整合技术接受和采用理论(UTAUT),并引入价值共创理论和感知风险理论,构建工业互联网平台使用意愿影响因素理论模型。以来自珠三角地区的245份制造企业的问卷调研数据为研究样本,运用结构方程模型进行实证分析。结果表明：绩效期望、社会影响、价值共创功能显著正向影响企业对工业互联网平台使用意愿,感知风险显著负向影响企业对工业互联网平台使用意愿,便利条件及努力期望对企业对工业互联网平台使用意愿影响并不显著。     

Rethinking the intention to behavior link in information technology use: Critical review and research directions

Extant research on technology acceptance has devoted considerable attention to the relationship between behavioral intention (BI) and system use (SU) over time. However, the empirical results have been mixed—studies have found BI to both influence and not influence SU. Studies that examined the BI→SU relationship have employed different research models and research designs. Prior research models have examined direct effects on SU, indirect effects on SU through BI, the moderator effects on BI→SU, and the mediating role of BI in BI→SU. Studies have employed different types of respondents, information technologies, geographic regions, voluntariness, and measurement designs. This study proposes that such differences in research models and designs contribute to the mixed results for BI→SU, and reports a meta-analysis of findings reported in 113 prior studies along with a critical review of the BI→SU relationship. While no significant differences were found in the results for the BI→SU relationship across various research design characteristics, this study finds that the measurement of SU has been conflated with future and current or past behavior, direct and indirect effects on SU impact BI→SU, BI is modeled to fully and partially mediate the effects of other variables on SU, and moderators for the BI→SU relationship may be necessary. This study identifies several directions for future research and underlines the need to rethink the link between BI and SU.     

Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)

For over a decade, researchers have devoted much effort to construct theoretical models, such as the Technology Acceptance Model (TAM) and the Expectation Confirmation Model (ECM) for explaining and predicting user behavior in IS acceptance and continuance. Another model, the Cognitive Model (COG), was proposed for continuance behavior; it combines some of the variables used in both TAM and ECM. This study applied the technique of structured equation modeling with multiple group analysis to compare the TAM, ECM, and COG models. Results indicate that TAM, ECM, and COG have quite different assumptions about the underlying constructs that dictate user behavior and thus have different explanatory powers. The six constructs in the three models were synthesized to propose a new Technology Continuance Theory (TCT). A major contribution of TCT is that it combines two central constructs: attitude and satisfaction into one continuance model, and has applicability for users at different stages of the adoption life cycle, i.e., initial, short-term and long-term users. The TCT represents a substantial improvement over the TAM, ECM and COG models in terms of both breadth of applicability and explanatory power.     

Intention in information systems adoption and use: Current state and research directions

Intention has been a key dependent variable in information system (IS) research for the last several decades. It features in various IS acceptance models including the technology acceptance model (TAM), the elaboration likelihood model, the IS success model, and the unified theory of acceptance and use of technology (UTAUT). In the context of IS adoption and use, intention has been portrayed in different forms including intention to adopt, intention to use, intention to continue use, intention to discontinue, and intention to switch. It has been modeled as an antecedent to behavior, a consequent of behavior, and a proxy for behavior. Prior studies of intention have been contextualized in a various settings involving use contexts (i.e., voluntary vs. mandatory use), populations (i.e., non-adopters, adopters, users), respondents (i.e., students, employees), and duration of use (i.e., limited vs. indefinite time), have used cross-sectional and longitudinal empirical designs, and employed different measurement instruments. This editorial provides a brief review of extant IS literature on intention, highlights underlying issues, and proposes directions for future research.     

Acceptance of monetary rewards in open source software development

The open source software (OSS) movement thrives on innovation and volunteer effort of developers. Scholars have expressed widespread concern about the sustainability of the OSS movement due to high levels of volunteerism. In this paper, we address a central challenge to the sustainability of OSS-developers’ acceptance of monetary rewards. We strive to explain why some OSS developers accept monetary rewards and others do not. Viewed through the theoretical lens of the private-collective innovation model (0395 and 0400), this allows us to describe when developers will accept private financial rewards. Our main research objective is to clearly map the web of relationships between causal antecedents, and developers’ acceptance behavior. Using a unique dataset that combines survey and behavioral measures, we find that – (a) intention to accept monetary rewards mediates the impact of motivational elements on developers’ acceptance of monetary rewards; (b) intrinsic and extrinsic motivations positively affect their intention to accept monetary rewards, community motivation negatively impacts intention and ideological motivation does not affect the intention to accept rewards and (c) these effects are obtained even after inclusion of several control variables. The theoretical and managerial implications of our work are described.     

信息技术赋能创业:IT 能力对创业绩效的影响

大数据、人工智能等新一代信息技术正不断渗透和改变着创业行为和结果,为新创企业发展带来机遇与挑战。目前,企业的信息技术能力对创业活动的影响研究仍处于探索阶段。本文基于创业机会理论与资源依赖理论,考察IT能力对创业绩效的影响机制,探讨创业机会识别与开发的中介作用以及数字化业务强度的调节作用。实证分析发现：IT设施运用能力、IT业务跨越能力和IT前瞻性立场等三种IT能力均有助于提升创业绩效;创业机会识别与开发在3种IT能力与创业绩效间扮演中介角色;数字化业务强度在IT能力和创业机会识别与开发间发挥正向调节作用,并进一步调节创业机会识别与开发在3种IT能力与创业绩效间的中介作用,即：数字化业务强度越高,创业机会识别与开发的中介效应越显著。本研究丰富了信息技术赋能创业的研究内容,有助于推进信息技术在创业理论与实践中的运用。     

Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model

Given the serious issues caused by privacy leakage, Privacy by Design (PbD) is gaining the attention of professionals as a new privacy protection paradigm with enormous potential. This study proposes a UTAUT-based integrated model from the perspective of information system (IS) engineers, and explores the determinants of PbD implementation. The implementation of PbD and privacy protection measures relay heavily on IS engineers. However, there is a paucity of research exploring IS engineers’ acceptance of PbD, particularly research that considers engineers’ individualized factors and personal attitudes. Empirical data collected from 261 IS engineers in China demonstrate the rationality of proposed model and the importance of integrating conceptual constructs. The findings suggest that IS engineers’ attitude towards PbD implementation significantly impacts both their behavioral intention and their implementing behavior. IS engineers’ awareness of PbD is a predictor of their effort and performance expectancies, and intention to implement; IS engineers’ effort and performance expectancies concerning PbD usage have significantly impact on their attitude towards PbD. This study reveals the factors that motivate IS engineers to implement PbD into their workflow and proposes for the first time that IS engineers’ attitude towards PbD usage is the key factor for PbD implementation.     

Applying the technology acceptance model to a Spanish City Hall

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.     

可持续消费态度与行为不一致关系的研究述评

可持续消费是指消费者在具体的消费过程中做到产品的减量化、再利用、再循环的生态意识与行为的总称。文章介绍了造成可持续消费态度与行为不一致关系的影响因素,并综合现有的相关理论,指出现有的研究不足及对未来的展望。     

高校隐性知识转移与企业技术许可接受

通过高校技术许可的知识转移过程分析,基于技术接受模型,引入隐性知识技术服务可获得性感知维度,建立技术许可接受拓展模型,通过问卷调查数据的实证分析发现,技术服务可获得性对技术许可态度倾向、技术许可实际行为有显著积极影响,企业技术吸收能力、信任对技术服务可获得性有显著积极影响。因此,高校应建立关注于服务的技术许可转移工作模式,提高技术服务可获得性,促进高校技术许可绩效。