Manufacturing SMEs Sustainable Practices: Operationalization of Sustainable Value Framework

Yacob, Peter; Nodeson, Suresh; Yee, Chew Fong; Sai, Mei Ling

doi:10.1007/978-981-15-3859-9_26

Cited by 3 publications

(6 citation statements)

References 23 publications

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“…The main aim is to eliminate environmental degradation which is an obstacle for environmental sustainability in terms of provision of environmentally friendly products (7). However, these technologies incur several issues including the behavior of people which is also critical in environmental sustainability (18). Therefore, the key objective of this study is establishing decision makers' view to adoption of Green IT.…”

Section: R E S E a R C H H I G H L I G H T Smentioning

confidence: 99%

Behavioural Model for Decision-Makers’ Intention to Adopt Green Information Technology in Nigerian Manufacturing Industries

Buba

Ibrahim

2020

Sci Prcd Ser

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Environmental degradation has become a critical concern around the world. This study will investigate the influence of managers’ behavior in decision making regarding intention to adopt Green IT. The research will integrate the Theory of Planned Behaviour (TPB) and the Norm Activation Theory (NAT) to the explore factors that affect decision-makers’ intention to adopt Green IT in Nigerian Manufacturing Industries. In this study, quantitative approach will be employed in collecting data through a survey. By employing a non-random sampling, a survey will be conducted among decision makers. Partial Least Squares Structural Equation modelling (PLS-SEM) method will test consistency, reliability and data validity. The outcome of this research could be significant in helping decision makers to adopt Green IT successfully.

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Section: R E S E a R C H H I G H L I G H T Smentioning

confidence: 99%

Behavioural Model for Decision-Makers’ Intention to Adopt Green Information Technology in Nigerian Manufacturing Industries

Buba

Ibrahim

2020

Sci Prcd Ser

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“…Furthermore, Green-IT has been mentioned to provide solutions that could sustain a decrease in environmental footprints. Thus, enabling the firms to accept and adopt the changes in environmental regulations and expand the firm's competitiveness over time (Chen & Chang, 2014a;Chen & Chang, 2014b;Przychodzen et al, 2018;Yacob et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…This process is achievable through designing, application, production, operation, and IT disposal, and products and services during their life cycle (Akman & Mishra, 2015;Seidel et al, 2013;Buba & Ibrahim, 2020;Yang et al, 2019). Green-IT solutions could sustain a decrease in environmental footprints, enable firms to accept and adopt the changes in environmental regulations, and expand the firm's competitiveness over time (Chen & Chang, 2014a;Chen & Chang, 2014b;Przychodzen et al, 2018;Yacob et al, 2018). Hence, Green-IT promotes work efficiency, business processes, deals with e-waste, IT-related emissions, and lower energy consumption (Dalvi-Esfahani et al, 2017a;Dalvi-Esfahani et al, 2017b;Sani et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, government policies, laws, and shareholders' pressures have been affecting the industries in trying to improve actions on environmental sustainability (Brandvik et al, 2019;Juschten et al, 2019). By integrating IT, innovations can shape the environmental circumstances and enable people to apply them (Huda, 2019;Przychodzen et al, 2018;Yacob et al, 2018). Research agrees that there is a benefit in the environment, economically and socially, which leads to sustainable development if Green-IT is utilised (Wang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the effect of human behaviour in the adoption of Green-IT is an issue. Evolving technologies suffer numerous issues involving people's behaviour, which is equally critical for environmental sustainability (Chen & Chang, 2014a;Chen & Chang, 2014b;Yacob et al, 2018). Thus, the main goal of this study is to establish decision-makers' opinions for intention to adopt Green-IT.…”

Section: Introductionmentioning

confidence: 99%

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Behavioural Model for Decision-Makers’ towards the Intention to Adopt Green Information Technology: A Preliminary Study

Buba¹,

Ibrahim²

2021

JST

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This preliminary survey investigates and validates the measurement model of factors influencing decision makers’ intentions to adopt Green information technology (Green-IT) in manufacturing sectors in Nigeria. The Norm Activation Model (NAM) and Theory of Planned Behaviour (TPB) were used to explore the factors that could influence decision-makers’ intention in adopting Green-IT. Using constructs from the NAM and TPB, this survey proposes a model for identified behavioural factors. A quantitative research approach with a data collection and analysis plan using a cross-sectional survey design was adopted. A sample of 30 decision-makers in the top three manufacturing industries in Nigeria was selected using a purposive sampling procedure for participation in the study. The data collected was analysed using Partial Least Square Structural Equation Modelling (PLS-SEM) to test the proposed model. The model was validated in two phases: (i) Initial Measurement Model and (ii) Modified Measurement Model. Findings revealed that Green-IT Attitude, Subjective Norm, Ascription of Responsibility, Awareness of Consequences, Personal Norm, Environmental Concern, and Perceive Behavioural Control were the key elements of the behavioural intention model to adopt Green-IT, with 31 indicators having factor loadings of >0.5, adequate internal consistency reliability, CR > 0.7, and Cronbach’s Alpha, >0.7. The result revealed convergent validity, and acceptable discriminant validity was assessed using AVE > 0.5 and Fornell-lacker’s criterion. The results from the full-scale study would contribute to developing a context-speciﬁc model to examine Green-IT adoption in developing nations.

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Behavioral intention model for green information technology adoption in Nigerian manufacturing industries

Buba

Ibrahim

Shehzad

2021

AJIM

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PurposeGreenhouse effects and the need for cost savings necessitate that an organization's information technology (IT) managers design IT equipment acquisition and service provisioning policies to reduce carbon footprint and cost. Analyzing the influencing factors that influence stakeholders' attitudes toward adopting green information technology (Green-IT) is an important input in designing these policies. In essence, the research aims to investigate into the relationship between these factors and how they influence policy-makers' behavior in Nigerian manufacturing industries.Design/methodology/approachThe study develops a model based on the norm activation model (NAM) and the theory of planned behavior (TBP) to investigate the factors that influence decision-makers' intention in adopting Green-IT. A quantitative approach using a survey method is carried out to gather opinions of IT decision-makers using a random sampling technique. Partial least squares structural equation modeling (PLS-SEM) technique is applied to test the structural model and measurement model.FindingsThe study's findings support the use of the behavior model for Green-IT adoption. The study's finding indicates that subjective norms, perceived behavior control (PBC), manager's attitude, personal norm (PN), awareness of adverse consequences and the ascription of responsibility (AR) positively influence intention to adopt Green-IT.Research limitations/implicationsThe development and validation of the model are the study's theoretical contributions. The study reviewed the existing literature on the utilization of Green-IT to better understand the intention to adopt Green-IT in Nigeria. It added to the literature by identifying factors that can influence it as well as theoretical underpinnings that can fit the intentions of decision-makers. The scientific community and the industrial companies would have the chance to investigate how this integrated behavioral intention model promotes the use of Green-IT. The research predictors explained about 70.20% of the variance in the behavioral intention to adopt Green-IT.Practical implicationsResearch offers practical implications and recommendations for top management practitioners of the manufacturing industries. Business leaders can use the results of this study to develop an effective strategic IT policy for the successful adoption of Green-IT practices for enhanced productivity. The study found that decision-makers' Green-IT attitudes had a substantial impact on their behavioral intention to adopt Green-IT. The study highlighted the importance of the top management attitude toward green products to facilitate the adoption of Green-IT practices in manufacturing industries in Nigeria. Thus, the positive and significant attitude of policy-makers is a necessary tool toward the successful adoption of Green-IT. Therefore, to foster an environmentally sustainability friendly atmosphere, Nigeria's manufacturing industries shall strive to strengthen the decision-makers' attitude toward practicing Green-IT in their respective domains. The findings showed that AR, AQ, environmental concern (EC), perceived behavior and perceived behavior are critical factors to be considered in an organization.Social implicationsAccording to the findings, an individual's Green-IT attitude has a substantial impact on the environment as social behavior. As a result, the positive and essential attitude of the social sector is a key tool for efficient Green-IT implementation. Nigeria's social activists must try to create awareness campaigns to boost decision-makers' attitudes toward implementing Green-IT in their various regions to develop a friendlier environment. Thus, the identified factors can be of great help to the social sector in designing and implementing successful environmental-friendly policies that could support the adoption of Green-IT practices.Originality/valueThe current research look at Green-IT adoption in manufacturing industries of West African countries. The study offers practical implications and recommendations for top management practitioners of the manufacturing industries, government policy-makers and organizations to enhance the use of Green-IT for mitigating environmental degradation. Recommendations for future research are stated as concluding remarks.

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Manufacturing SMEs Sustainable Practices: Operationalization of Sustainable Value Framework

Cited by 3 publications

References 23 publications

Behavioural Model for Decision-Makers’ Intention to Adopt Green Information Technology in Nigerian Manufacturing Industries

Behavioural Model for Decision-Makers’ Intention to Adopt Green Information Technology in Nigerian Manufacturing Industries

Behavioural Model for Decision-Makers’ towards the Intention to Adopt Green Information Technology: A Preliminary Study

Behavioral intention model for green information technology adoption in Nigerian manufacturing industries

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