EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise

JosephNg, P. S.

doi:10.1016/j.techfore.2018.01.030

Cited by 48 publications

(14 citation statements)

References 18 publications

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“…The results showed that the saturation model was 0.022, while the estimated model was 0.058, both less than 0.08, indicating a good model fit [37]. The structural variance inflation factor (VIF) values assessed by the collinearity test were all between 1.5 and 2.3, below the threshold of 5.0 [45,46]. There was a highly correlated structure.…”

Section: Inspecting the Inner Structural Modelmentioning

confidence: 94%

Technology Behavior Model—Beyond Your Sight with Extended Reality in Surgery

Gong

JosephNg

2022

ASI

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Extended Reality Smart Glasses is a new pattern that uses extended reality technology to present a visual environment that combines the physical and virtual worlds. However, the surgical technique using Smart Glasses implementation is still unknown, to the infancy in clinical surgery, derived to the limits of existing technology. This study researched the acceptability and possibility of XRSG for medical experts. It combines human seen behavioral control with information technology research to construct a new “Extended Reality Technology Behavior Model” using method Technology Acceptance Model and Theory of Planned Behavior. To improve the accuracy of the study, statistical analysis, exploratory analysis, and cross-sectional research triangulation were used to collect data in five hospitals in Malaysia using a convenience sampling method and a questionnaire on behavioral influences. From the collected data, PLS-SEM analysis was used to reflect the relationship between variables. The strong positive results suggest that using XRSG by medical experts helps to improve the composition, interactivity, standardization, and clarity of medical images, resulting in increased efficiency and reduced procedure time and felt the usefulness and ease of use of XRSG through their behavior, providing a basis for technology acceptance in surgery.

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Section: Inspecting the Inner Structural Modelmentioning

confidence: 94%

Technology Behavior Model—Beyond Your Sight with Extended Reality in Surgery

Gong

JosephNg

2022

ASI

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“…In this method, a designed questionnaire distributed to collect primary data from the study participants. The quantitative data collection to generalize exploratory will identify the outer, followed by qualitative data collection for in-depth explanatory analysis to identify characteristic interpretation (JosephNg , 2018). The target population is the population of ultimate interest.…”

Section: Methodsmentioning

confidence: 99%

Provoking Mobile Payment Actual Usage Behaviour in Middle East

JosephNg¹,

Eaw²,

Musallam³

2021

Preprint

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Financial Payment has evolved into mobile payment for easy access and convenience. Despite the benefits of mobile payment, the adoption rate is unsatisfactory worldwide. Therefore, understanding the customer's adoption intention factors is essential for both researchers and practitioners. This study examines mobile payment intention and actual use by adapting the integrated framework, which combines the Mobile Technology Acceptance Model and the Theory of Planned Behaviour with additional new constructs found to be related. The new model consists of 12 variables moderated by the individual's experience and is examined via a structured PLS equation mixed-mode methodology. Knowing mobile payment influence will shape the industry strategic decision and socially contribute to transforming society into a cashless society. This paper provides an opportunity to prove the relationship between technology variables and human behaviour concerning mobile payment adoption. In contrast, this study novelty adopted an integrated model that combines MTAM with the TPB.

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“…Cloud-based enterprise resource planning systems indicators advance organizations in the use of their resources (Cardoso et al, 2018;JosephNg, 2018) On the other hand, some organizations prefer to have IT programs, data and activities under their control. Sometimes the costs of specialist provision, management and maintenance are much higher than if the company received the service from the service provider, so cloud privacy and security can negatively affect the productivity of the human resources in the COVID-19 era (Nakayama et al, 2017;Stergiou et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

Yao¹,

Azma

2021

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PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

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EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise

Cited by 48 publications

References 18 publications

Technology Behavior Model—Beyond Your Sight with Extended Reality in Surgery

Technology Behavior Model—Beyond Your Sight with Extended Reality in Surgery

Provoking Mobile Payment Actual Usage Behaviour in Middle East

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

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