Nianxin Wang, Huigang Liang, Shilun Ge, Yajiong Xue and Jing Ma
The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation.
Abstract
Purpose
The purpose of this paper is to understand what inhibit or facilitate cloud computing (CC) assimilation.
Design/methodology/approach
The authors investigate the effects of two enablers, top management support (TMS) and government support (GS), and two inhibitors, organization inertia (OI) and data security risk (DSR) on CC assimilation. The authors posit that enablers and inhibitors influence CC assimilation separately and interactively. The research model is empirically tested by using the field survey data from 376 Chinese firms.
Findings
Both TMS and GS positively and DSR negatively influence CC assimilation. OI negatively moderates the TMS–assimilation link, and DSR negatively moderates the GS–assimilation link.
Research limitations/implications
The results indicate that enablers and inhibitors influence CC assimilation in both separate and joint manners, suggesting that CC assimilation is a much more complex process and demands new knowledge to be learned.
Practical implications
For these firms with a high level of OI, only TMS is not enough, and top managers should find other effective way to successfully implement structural and behavioral change in the process of CC assimilation. For policy makers, they should actively play their supportive roles in CC assimilation.
Originality/value
A new framework is developed to identify key drivers of CC assimilation along two bipolar dimensions including enabling vs inhibiting and internal vs external.
Details
Keywords
Nianxin Wang, Yajiong Xue, Huigang Liang, Zhining Wang and Shilun Ge
The purpose of this paper is to investigate the government roles in cloud computing assimilation along two dimensions: government regulation and government support.
Abstract
Purpose
The purpose of this paper is to investigate the government roles in cloud computing assimilation along two dimensions: government regulation and government support.
Design/methodology/approach
A research model was developed to depict the dual roles of government regulation and government support in cloud computing assimilation as well as the mediating effect of top management support (TMS). Using survey data collected from 376 Chinese firms that have already adopted cloud services, the authors tested the research model.
Findings
The impacts of both government regulation and government support on cloud computing assimilation are partially mediated by TMS. Government support exerts stronger impacts on TMS than government regulation.
Research limitations/implications
This study extends the current information systems literature by highlighting the specific mechanisms through which governments influence firms’ assimilation of cloud computing.
Practical implications
Governments in developing countries could actively allocate funds or enact policies to effectively encourage cloud computing assimilation.
Originality/value
This study would complement previous findings about government regulation, and develop a more holistic understanding about the dual roles of governments in information technology innovation assimilation.
Details
Keywords
Xiaohong Lu, FuRui Wang, Liang Xue, Yixuan Feng and Steven Y. Liang
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Abstract
Purpose
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Design/methodology/approach
Taguchi method has been applied to conduct experiments, and the cutting parameters are spindle speed, feed per tooth and depth of cut. The first-order models used to predict surface roughness and MRR for micro-milling of Inconel 718 have been developed by regression analysis. Genetic algorithm has been utilized to implement multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718.
Findings
This paper implemented the multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718. And some conclusions can be summarized. Depth of cut is the major cutting parameter influencing surface roughness. Feed per tooth is the major cutting parameter influencing MRR. A number of cutting parameters have been obtained along with the set of pareto optimal solu-tions of MRR and surface roughness in micro-milling of Inconel 718.
Originality/value
There are a lot of cutting parameters affecting surface roughness and MRR in micro-milling, such as tool diameter, depth of cut, feed per tooth, spindle speed and workpiece material, etc. However, to the best our knowledge, there are no published literatures about the multi-objective optimization of surface roughness and MRR in micro-milling of Inconel 718.
Details
Keywords
Xiaojun Wu, Zhongyun Zhou and Shouming Chen
Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an…
Abstract
Purpose
Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an understudied issue in the literature, namely, how users perceive the threat of and decide to use a threatening AI application. In particular, it examines the influencing factors and the mechanisms that affect an individual’s behavioral intention to use facial recognition, a threatening AI.
Design/methodology/approach
The authors develop a research model with trust as the key mediating variable by integrating technology threat avoidance theory, the theory of planned behavior and contextual factors related to facial recognition. Then, it is tested through a sequential mixed-methods investigation, including a qualitative study (for model development) of online comments from various platforms and a quantitative study (for model validation) using field survey data.
Findings
Perceived threat (triggered by perceived susceptibility and severity) and perceived avoidability (promoted by perceived effectiveness, perceived cost and self-efficacy) have negative and positive relationships, respectively, with an individual’s attitude toward facial recognition applications; these relationships are partially mediated by trust. In addition, perceived avoidability is positively related to perceived behavioral control, which along with attitude and subjective norm is positively related to individuals' intentions to use facial recognition applications.
Originality/value
This paper is among the first to examine the factors that affect the acceptance of threatening AI applications and how. The research findings extend the current literature by providing rich and novel insights into the important roles of perceived threat, perceived avoidability, and trust in affecting an individual’s attitude and intention regarding using threatening AI applications.
Details
Keywords
Dong-Heon Kwak, Dongyeon Kim, Saerom Lee, Martin Kang, Soomin Park and Deborah Knapp
Social networking sites (SNS) have become popular mediums for individuals to interact with others. However, despite the positive impact of SNS on people’s lives, cyberbullying has…
Abstract
Purpose
Social networking sites (SNS) have become popular mediums for individuals to interact with others. However, despite the positive impact of SNS on people’s lives, cyberbullying has become prevalent. Due to this prevalence, substantial research has examined cyberbullying from the perspectives of perpetrators, bystanders, and victims, but little is known about SNS users’ confrontations with cyberbullying. The objectives of this study are to examine confrontation as a victim’s coping response, the effect of blockability affordance on victims’ protection motivation, the impact of a victim’s experiences with cyberbullying perpetration, and social desirability (SD) bias in the context of cyberbullying victimization.
Design/methodology/approach
This study examines the effect of blockability affordance on SNS users’ protection motivation. It also investigates the relationships among perceived threat, perceived coping efficacy, and use of confrontation. Furthermore, this investigation analyzes the effect of SNS users’ experiences as perpetrators on their decision to confront cyberbullies. Finally, this study assesses and controls SD bias in SNS users’ confrontation behavior. To test the research model, we used an online vignette study to collect 314 data points.
Findings
Blockability affordance, perceived threat, perceived coping efficacy, and cyberbullying perpetration experiences are essential factors in explaining use of confrontation. This study also finds SD bias in the context of cyberbullying victimization.
Originality/value
This is one of the first studies in information systems research to empirically examine the effect of blockability affordance in the context of cyberbullying.
Details
Keywords
On a world basis, 15% of the population has a disability. Having a disability can result in a higher frequency of health-related information needs than other users might…
Abstract
On a world basis, 15% of the population has a disability. Having a disability can result in a higher frequency of health-related information needs than other users might experience. The Web represents a widely used source for health information. People with disabilities, however, often encounter barriers during online searching, such as inaccessible information, poorly designed search user interfaces and lack of compatibility with assistive technology. Consequently, many users are potentially excluded from a range of information sources. Measures are therefore needed to remove these barriers to avoid health disparities that can result from unequal access to information. Public libraries have a social responsibility to include all user groups, and should aspire to make fully accessible services. A good tool in this context is the implementation of the universal design mind-set, where the purpose is to develop services that are available to all people. This chapter discusses how universal design can be a premise for equal access to health information and potentially reduce health disparities in the context of users with disabilities. Both library services and education of librarians will be addressed.
Details
Keywords
Abdelkebir Sahid, Yassine Maleh and Mustapha Belaissaoui
Arieh Riskin, Peter Bamberger, Amir Erez and Aya Zeiger
Incivility is widespread in the workplace and has been shown to have significant affective and behavioral consequences. However, the authors still have a limited understanding as…
Abstract
Incivility is widespread in the workplace and has been shown to have significant affective and behavioral consequences. However, the authors still have a limited understanding as to whether, how and when discrete incivility events impact team performance. Adopting a resource depletion perspective and focusing on the cognitive implications of such events, the authors introduce a multi-level model linking the adverse effects of such events on team members’ working memory – the “workbench” of the cognitive system where most planning, analyses, and management of goals occur – to team effectiveness. The model which the authors develop proposes that that uncivil interpersonal behavior in general, and rudeness – a central manifestation of incivility – in particular, may place a significant drain on individuals’ working memory capacity, affecting team effectiveness via its effects on individual performance and coordination-related team emergent states and action-phase processes. In the context of this model, the authors offer an overarching framework for making sense of disparate findings regarding how, why and when incivility affects performance outcomes at multiple levels. More specifically, the authors use this framework to: (a) suggest how individual-level cognitive impairment and weakened coordinative team processes may mediate these incivility-based effects, and (b) explain how event, context, and individual difference factors moderators may attenuate or exacerbate these cognition-mediated effects.
Details
Keywords
Peiyu Zhou, Shuping Zhao, Yiming Ma, Changyong Liang and Junhong Zhu
The purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and…
Abstract
Purpose
The purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.
Design/methodology/approach
This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.
Findings
The empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.
Originality/value
This study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.
Details
Keywords
Zhao Cai, Hefu Liu, Qian Huang, Yue Kang and Liang Liang
The purpose of this paper is to discuss the relationship between psychological contract and knowledge sharing behavior in the enterprise system (ES) post-implementation stage. The…
Abstract
Purpose
The purpose of this paper is to discuss the relationship between psychological contract and knowledge sharing behavior in the enterprise system (ES) post-implementation stage. The fulfillment and obligation of psychological contract are proposed as antecedents of knowledge sharing behavior performed by client firms. Additionally, entrepreneurial orientation (EO) is considered a moderator in the relationship between psychological contract and knowledge sharing.
Design/methodology/approach
This study adopted the questionnaire survey to collect data from 132 client firms of a focal ES provider in the garment industry of China. Hierarchical regression analysis was used for data analysis.
Findings
Psychological contract fulfillment is negatively related to knowledge sharing, whereas the positive role of psychological contract obligation is supported. EOstrengthens the role of both psychological contract fulfillment and obligation in shaping knowledge sharing behavior of client firms.
Originality/value
This study adopts forward- and backward-looking approaches in decision making as a theoretical lens to investigate how to improve client firms’ knowledge sharing behavior through psychological contract. By figuring out the roles of psychological contract and EO in influencing knowledge sharing, this research benefits both vendor and client firms in maintaining sustainable collaboration and continuous improvement of ES projects.