A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers

Anthony, Bokolo; Majid, Mazlina Abdul; Romli, Awanis

doi:10.1108/jeim-10-2017-0147

Cited by 37 publications

(31 citation statements)

References 48 publications

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“…Besides, all loadings of the 7 factors individual items measures were higher than 0.40 as recommended by Yuan et al (2017). The higher the loading value of each item, the more a particular the individual factor contributes in confirming the feasibility of the eco-responsibility decision support tool (Anthony Jr et al, 2018). Hence, it is observed that the factor loadings of each item were rationally consistent and sufficient.…”

Section: Factor Analysismentioning

confidence: 61%

“…To validate the developed eco-responsibility decision support tool, we designed questionnaire items derived from prior studies as seen in Table 5. (Wang and Senecal, 2007;Tojib et al, 2008;Poelmans et al, 2008;Madan and Dubey, 2012) (Lewis, 2006;Tojib et al, 2008;Poelmans et al, 2008;Madan and Dubey, 2012) (Palmer, 2002;Abran et al, 2003;Seffah et al, 2006;Jr et al, 2018) 7 Satisfaction SFN1-Portability and adaptability. SFN2-Provide Feedback and user guidance.…”

Section: Questionnaire Designmentioning

confidence: 99%

“…Where, validity refers to the degree in which a questionnaire measure what is intended to measure. Reliability is the extent in which the questionnaire factors give the same result consistently (Anthony Jr et al, 2018). In this study validity is measured based on Pearson's correlation (r) value whereas reliability is measured Cronbach's alpha.…”

Section: Explorative Analysismentioning

confidence: 99%

“…Currently, university campuses are implementing Green practices to promote environmental responsibility towards attaining sustainability (Nifa et al, 2015). But at the moment there is need for tool to adequately provide up-to-date information on how Green practices can be implemented in university campuses (Anthony Jr et al, 2018). Furthermore, practitioners in universities utilize manual based evaluation of their current Green practices.…”

Section: Introductionmentioning

confidence: 99%

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Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

Anthony

Majid

Romli

2019

JSIT

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Purpose The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility. Design/methodology/approach Data were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool. Findings Results from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool. Research limitations/implications The sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems. Practical implications Practically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth. Social implications This study presents how case-oriented agents aid educational institutions in going green for environmental responsibility. Socially, this research provides the strategies for green practice improvement in educational institutions toward environmental responsibility. Originality/value The eco-responsibility decision support tool provides a Web-based platform for promoting ecological protection by supporting the measuring of practitioners’ current green practices for environmental responsibility. Thus, research findings from this study are expected to help decision-makers generate useful insights into environment-friendly strategies to be implemented in educational institutions. Lastly, the statistical tests adopted in this paper can be used to gauge the feasibility of information system application in future.

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Section: Factor Analysismentioning

confidence: 61%

Section: Questionnaire Designmentioning

confidence: 99%

Section: Explorative Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

Anthony

Majid

Romli

2019

JSIT

Self Cite

View full text Add to dashboard Cite

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“…(Amekudzi-Kennedy, Labi, Woodall, Chester, & Singh, 2020). While there is no clear answer right now, one thing is clear about working from home: it promotes sustainability, both economicaly and ecologicaly (Anthony Jr, Majid, & Romli, 2018;Walls & Safirova, 2004;Ye, 2012).…”

Section: Introductionmentioning

confidence: 99%

Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19

Razif¹,

Miraja²,

Persada³

et al. 2020

JESI

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Working From Home (WFH) technologies has been used and discussed for a long time. The many positive benefits of WFH technologies, including its potential to create a more sustainable work activity, attracted many studies to gain a better understanding of this subject. This study is interested to understand the different factors, including environmental, influencing WFH technologies acceptance in this current shifting situation stimulated by the Covid-19 pandemic. An extended Unified Theory of Acceptance and Use of Technology (UTAUT) model, employing Environmental Concern, was used. The model was assessed by using the structural equation model. The total of 172 respondents participated in this research. The total of 5 hypotheses was tested. The present study's model is able to predict 57.4% of WFH Technology acceptance. Finally, discussion and recommendations to businesses that are currently taking WFH measures during the Covid-19 pandemic were presented.

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A case-based reasoning recommender system for sustainable smart city development

Anthony

2020

AI & Soc

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With the deployment of information and communication technologies (ICTs) and the needs of data and information sharing within cities, smart city aims to provide value-added services to improve citizens’ quality of life. But, currently city planners/developers are faced with inadequate contextual information on the dimensions of smart city required to achieve a sustainable society. Therefore, in achieving sustainable society, there is need for stakeholders to make strategic decisions on how to implement smart city initiatives. Besides, it is required to specify the smart city dimensions to be adopted in making cities smarter for sustainability attainment. But, only a few methods such as big data, internet of things, cloud computing, etc. have been employed to support smart city attainment. Thus, this study integrates case-based reasoning (CBR) as an artificial intelligence technique to develop a recommender system towards promoting smart city planning. CBR provides suggestions on smart city dimensions to be adopted by city planners/decision-makers in making cities smarter and sustainable. Accordingly, survey data were collected from 115 respondents to evaluate the applicability of the implemented CBR recommender system in relation to how the system provides best practice recommendations and retaining of smart city initiatives. Results from descriptive and exploratory factor analyses suggest that the developed system is applicable in supporting smart city adoption. Besides, findings from this study are expected to provide valuable insights for practitioners to develop more practical strategies and for researchers to better understand smart city dimensions.

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A collaborative agent based green IS practice assessment tool for environmental sustainability attainment in enterprise data centers

Cited by 37 publications

References 48 publications

Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19

A case-based reasoning recommender system for sustainable smart city development

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