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A Proposed Adoption Model for Green IT in Manufacturing Industries

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Abstract

Green information technology (IT) adoption has helped enhance the overall organization's environmental sustainability. Developing the strategies for effective adoption of Green IT is one of the essential goals of decision-makers. This study purposes to investigate the factors that influence decision-makers’ intention to use Green IT and the proposed green IT adoption model in Malaysian manufacturing firms. The 183 valid data were obtained using survey questionnaires from Malaysia's manufacturing industries' industrial managers and examine collect data through two analytical techniques. Two-staged structural equation modeling and artificial neural network applied for hypotheses evaluation and finding the significance level of every factor in the model. The outcomes of hypotheses evaluation through structural equation modeling revealed that managerial interpretation and ascription of responsibility have a significant role in predicting the adoption of green information technology in manufacturing companies. Besides, the Artificial Neural Network (ANN) results showed that the managerial interpretation and ascription of responsibility are considered as the most significant factors of green information technology adoption. This study will help the decision-makers and policymakers develop policies and programs for the effective employment of green information technology in manufacturing industries.

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... According to Asadi et al. (2021) the green information technology has emerged as a path that secures the reduction of environmental degradation and the rapid depletion of natural resources that occurred over the previous years. Also, it is a reasonable attempt to enhance the The third research hypothesis is: ...
... Also, it is helping micro companies rationalize the needs of transportation, logistics, building management, and energy distribution. Accordingly, as Asadi et al. (2021) pinpointed, it seems necessary to focus attention on the adoption of information technology by the organization, which is a reasonable approach that allows organizations to address environmental concerns and improve their economic performance. Teo et al. (2003) described information technology adoption as the process by which information technology is communicated through specific channels over time between members of an organization. ...
... Adopting green information technology (IT) enhances the sustainability of manufacturing companies. Factors that affect the intention of decision makers to embrace green IT were investigated [68]. Another study aimed to examine the effects of personal and standard appeal factors on intention to adopt conservative agriculture practices and their influences on sustainable farm performance [69]. ...
... On the organisational side, favouritism influences employee withdrawal and ridicule from work, and underestimating an employee has a positive effect on work withdrawal and mediates the relationship between favouritism and work withdrawal [63]. The recommendations of the authors outline the importance of green supply chain management practices as strategies for improving sustainability [7,64,68]. The SEM results showed that risk analysis, IT security risks, management style, technology innovation and trust affect the use of cloud computing [70,96]. ...
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... Green By developing strategies for the organization, tries to consider the important issues and factors that affect the environment and aligns the forward trend of the organization with these issues so as not to damage the environment. Green is not only found in manufacturing industries [29] and now we can see Green's approach in other industries, for example, we can refer to green IT. [30] According to the positive results of paying attention to Green; This approach, with its general framework [31], removed obstacles to the implementation of green production methods And expanded its framework in most areas and fields, For example, value chains could be reconstructed with this approach Or even SMEs were no exception [32] [33]. ...
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(Manuscript available at https://authors.elsevier.com/c/1YqEu3SU~VaAVN). This research is a pioneering study into peer-to-peer mobile payment (P2PM-pay) systems' adoption. It proposes a behavioral model of the use of P2PM-pay systems and identifies the key antecedents of the customer's intention to use. Using a two-stage approach, the research model is assessed with data collected through an online survey from a sample of 701 respondents. In the first step, structural equation modeling (SEM) is used to determine P2P mobile payment acceptance predictors. In the second step, neural network models are used to rank the relative influence of significant predictors obtained from the SEM. The results show that consumers perceive the usefulness of P2PM-pay as the most important factor influencing their decision to adopt this innovative technology. The significant impact of social norms and perceived trust are also corroborated. The paper provides important strategic guidelines for the management of companies involved in the development and implementation of P2PM-pay systems.
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The adoption of Green Information Technology (GIT) is important to ensure organizations' environmental performance through sustainable production, consumption, utilization and disposal of Information Technology (IT) devices. However, research on the adoption of GIT practices has mostly addressed organizational factors and outcomes, with limited emphasis on the cognitive and attitudinal factors associated with behavioral change. Based on the Belief-Action-Outcome (BAO) framework, this research examined the effects of individual, social and organizational factors on GIT attitude among a sample of IT professionals in ISO 14001 certified IT companies in Malaysia and investigated the mediating effects of their beliefs about GIT. Further, this research investigated the relationship between GIT attitudes and behavioral change, as indicated through self-reported engagement in green computing practices. Survey methods were used to collect data from 333 respondents. The results support the direct effects of GIT knowledge, social influence and green management culture on GIT attitude. However, hypothesized indirect effects through the mediation of GIT beliefs were supported for GIT knowledge and social influence, but not for green management culture. The relationship between GIT attitude and engagement in green computing practices was supported. The implications of these results are discussed, and future research directions are suggested.
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National park tourism is an increasing trend worldwide. Understanding national park visitors’ pro-environmental behaviour is crucial as sustainability is a vital issue in the nature-based tourism industry. The primary objective of this study is to develop a conceptual model for explaining low-cost pro-environmental behaviour (i.e. behavioural choices involving low personal costs); more specifically, binning behaviour in a national park context. In this sense, we delineate low-cost pro-environmental behaviour (i.e. bin use) from high-cost forms of pro-environmental behaviour (e.g. picking up other litter) and further focus on a specific site (i.e. a national park). This study considers pro-environmental binning behaviour as a socially responsible behaviour (e.g. helping others) which is perceived more likely to be morally grounded. By considering binning behaviour as a pro-environmental personal norm and acknowledging it as a potential mediator between attitude, social norms, awareness of consequences, perceived behavioural control, and pro-environmental binning intention, this study develops a conceptual model of pro-environmental binning behaviour. The research’s theoretical contributions, its restrictions and practical implications for national parks are further discussed.
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Integrated pest management (IPM) has been promoted as an environmentally friendly pest control approach, but its adoption by farmers, particularly in developing countries, is low. The main purpose of the current study was to examine factors affecting the intention of farmers to use IPM practices in Iran. The research model was developed using the Theory of Planned Behavior (TPB) and the Norm Activation Model (NAM) and was empirically tested using data obtained from structured interviews with 327 tomato producers in Zanjan Province in northwestern Iran. Structural Equation Modeling (SEM) analysis indicated that all three components of attitude, perceived behavioral control (PBC), and subjective norm significantly influenced intention in the original TPB, while subjective norm had no statistically significant effect on intention in the integrative TPB-NAM. Despite this fact, subjective norm significantly impacted attitude, PBC, and personal norm in the integrative model. The study also supported the significant effect of awareness of consequences (AC) on personal norm, ascription of responsibility (AR), attitude, and subjective norm as well as the significant effect of AR on personal norm. Overall, personal norm was the most salient determinant of farmers’ intention to use IPM practices in the integrative model. Most notably, integrating the constructs of TPB and NAM and particularly adding the interrelationships among the volitional, moral, and cognitive dimensions of the two models significantly enhanced the predictive power, utility, and comprehensiveness of the proposed framework for explaining farmers’ intention to use IPM practices. The findings of this research provide a clearer understanding of factors driving the promotion of IPM among farming community and can be a basis for developing IPM policy interventions in Iran and other developing countries.
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This research was a pioneering study that examined the relationship between green intellectual capital and green human resource management. A quantitative research approach using a mail survey was employed to get insights from 112 large manufacturing firms in Malaysia. Partial Least Squares Regression Analysis was employed to examine the proposed relationship. The results indicated that green human capital and green relational capital influenced green human resource management. Surprisingly, green structural capital was not significantly related to green human resource management. As revealed by searches of ISI Web of Knowledge and Scopus, no similar work has tested a similar framework based on evidence from all over the world.
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The transport sector produced numerous global greenhouse gas emissions in China. It is important to promote low carbon commuting in China. This paper aims to investigate the determinants of intention and behavior of low-carbon commuting through bicycle-sharing (LCB) in China. Theoretical model and hypotheses are put forward by integrating the theory of planning behavior and theories of value and residual effects. Through structural equation model (SEM), the empirical analysis revealed that residual effect has the largest positive impact on intention of LCB for both males and females. Subjective norms positively affected intention of LCB for males. Attitude towards bicycle-sharing, perceived behavioral control positively affected intention of LCB for females. Intention has higher positive effect on females' behavior of LCB than males’. It is better for government to increase financial subsidies for bicycle-sharing users and producers.
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Several issues relating to goodness of fit in structural equations are examined. The convergence and differentiation criteria, as applied by Bagozzi, are shown not to stand up under mathematical or statistical analysis. The authors argue that the choice of interpretative statistic must be based on the research objective. They demonstrate that when this is done the Fornell-Larcker testing system is internally consistent and that it conforms to the rules of correspondence for relating data to abstract variables.
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Over the past several years, sustainable activities have become increasingly important to academic research and business practices around the globe. However, the nature and type of the potential financial benefits of environmentally oriented information and communication technologies at the corporate level remain poorly understood. To address this gap in the literature, this paper presents novel empirical evidence on the possible effect of Green Information Technologies (GIT) implementation on various aspects of shareholder value creation and financial performance. Using content analysis of corporate disclosures and financial data of 162 companies listed on the Frankfurt Stock Exchange during the period 2007-2016, we find that firms with GIT are characterized by higher subsequent returns on assets and the market-to-book values of assets ratios. Additionally, we observe that companies introducing GIT solutions experience permanently lower operating margins and higher costs of goods sold to net sales ratios. Furthermore, companies characterized by more efficient management of assets to generate earnings and more favorable market valuation are generally more inclined to engage in GIT activism. The findings also suggest that factors such as size, sector in which a given company operates, and percentage of women among the top five officers are not indifferent to the implementation of GIT solutions. Overall, this study extends the understanding of financial performance implications of environmentally friendly information technologies.
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Green Information Technology (IT) has emerged as a vital IT governance concern to promote environmentally-friendly IT use and ecologically responsible business processes. Organisational adoption of Green IT is growing in strategic importance, but remains a concern in developing countries, particularly Small Island Developing States (SIDS) such as Mauritius. Despite a strong economic dependence on IT and growing challenges resulting from their environmental vulnerability, the governance of IT and Green IT in SIDS such as Mauritius remains uncharted in existing literature. This study examines IT Governance (ITG) and Green IT in Mauritius by exploring the ITG and Green IT accountabilities, practices and drivers of large Mauritian businesses pertaining to the prime pillars of the Mauritian economy. 109 companies from the population of 192 responded, leading to a response rate of 56.8%. Findings resulting from the exploratory and confirmatory factor analysis of responses were used to develop an IT Governance and Green IT model (ITGM) representing ITG and Green IT accountabilities, mechanisms and drivers among the businesses studied. It is envisaged that the ITGM and its resulting recommendations will provide both Mauritian and other SIDS’ companies with a baseline for IT Governance and Green IT practice for improved business IT strategic value.
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In this paper, we explore antecedents of citizens’ self-reported environmental complaint intention in China by drawing on the norm activation model, and test the plausibility of the norm activation model to predict public-sphere pro-environmental intention/behavior. We evaluate the applicability and strength of the three alternative interpretations of the norm activation model: the moderator model and two mediator models. The models were empirically tested using survey data collected from twenty-nine cities at the prefecture and provincial levels in northern China. The results of structural analysis demonstrate that both of the two mediator models of norm activation model can adequately be employed to explain self-reported environmental complaint intention. Personal norm is the most immediate and influential predictor of environmental complaint intention. Personal norm also significantly mediates the relationship between ascribed responsibility and environmental complaint intention. Awareness of consequences is found to either directly trigger personal norm or to indirectly influence personal norm through the mediation of ascribed responsibility. The findings verify the plausibility and applicability of the norm activation model in explaining public-sphere pro-environmental intention/behavior.
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What makes consumers adopt energy-sustainable innovations? Drawing from psychological research on environmental behaviors, we propose a model integrating attitudinal factors, normative factors and self-control to explain the purchase of electric vehicles (EVs) by consumers. Specifically, we utilized structural equation modeling to develop a model to identify relationships between perceived values, green attitudes, normative factors, and self-expressive benefits and purchase intention of EVs. An empirical study was carried out to test the conceptual framework and 11 hypotheses were developed based on literature. The model was tested with survey data from 205 Hong Kong respondents from the automobile community. SEM analyses confirmed that perceived value, trust in EV, responsive efficacy, and willingness to pay had significant and positive influence on purchase intention of EVs. This study offers insights into the development of marketing program for EV in Hong Kong. The findings will help EV manufacturers to facilitate EV purchases. Future research opportunities are discussed.
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Purpose -The purpose of this study is to identify the key Green IT components needed to be considered by government based institutions and also develops a Green policy framework based on the identified Green IT components to facilitate government based institutions achieve sustainability. Design/methodology/approach- The Green policy framework and associated propositions are developed to facilitate government based institutions achieve sustainability. In addition, case study was adopted to verify the proposed framework based on data collected from open ended interview and sustainability report document from two government based institutions in Malaysia. Furthermore, the collected data was analyzed based on content analysis using descriptive and narrative method to present the findings of Green IT components adopted in the selected case studies. Findings-Findings show that sustainability considerations are increasingly being deliberated in institutions. Moreover, finding from the analyzed data also indicate that there is an increased interest towards implementation of Green Information Technology (IT) initiatives for developing, operating and usage by practitioners and staffs within government based institutions. Research limitations/implications-Findings from this study suggest that the Green policy framework components have implications to support only government based institutions address environmental, social and economic related issues. Practical implications-The developed Green IT components serve as robust indicators or constructs to measure management Green IT initiatives currently being implemented and thereby provide an framework for sustainability committee members to benchmark their current Green IT practice. Social implications-This study provides an agenda to guide government based institutions achieve sustainability goals. Accordingly, government based institutions can adopt the framework’s components to evaluate their progress, hence improving their target of attaining sustainability. Besides, this research provides an approach for assessing current practice adopted in government based institution against the Green IT components. Originality/value-The originality of this study is attributed to the fact that this study presents Green IT policy framework to be considered by government based institutions in achieving sustainability. The framework provides an agenda to simultaneously consider all three dimension of sustainability the people, planet and profit 3ps (social, environment and economic). Moreover, this is one of the first studies to explore Green IT practice in government based institutions.
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This research analyses how information publicity influences residents’ behaviour intentions in regard to e-waste recycling. We combine Theory of Planned Behaviour and Norm-activation Theory to build a research model, through scale development and questionnaire design, we carry out field research in Shandong Province, China. We collect 462 valid questionnaires as basic data for the research. We utilise exploratory factor analysis and structural equation model for data analysis and hypothesis test, and the results show that information publicity cannot directly influence residents’ behaviour intentions, but indirectly affect their intentions through two mediating variables – Personal norm and Recycling attitude. We think current information publicity about e-waste recycling is insufficient, or the publicity content thereof does not actually promote the willingness to recycle. So, we should improve the frequency of publicity events and focus on their publicity content.
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The study adopts the concept of the sharing economy to investigate sharing services in the service industries by examining an integrative framework made up of the Norm Activation Model (NAM) and the Theory of Planned Behavior (TPB), along with awareness of the sharing economy, for evaluating intentions to use sharing services. Results from a survey of 344 respondents were analyzed using structural equation modeling. The study’s findings reveal that, with the exception of the direct effect of awareness of the sharing economy on the intention to use sharing services, the underlying dimensions have a significant effect on consumers’ intention to use sharing services. Implications for future research and marketing strategies for sharing services are discussed.
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This investigation aims to propose a hybrid three-stage Structural Equation Modeling (SEM) - Artificial Neural Network (ANN) - Interpretive Structural Modeling (ISM) approach, together abbreviated as the SEANIS, for analyzing the factors influencing cloud computing adoption (CCA) services in the context of Indian private organizations. This study proposed new determinants, namely risk analysis and perceived IT security risk as an extension of the Technology Organization Environment (TOE) model. The data collected from the industry experts were analyzed using SEM and ANN approaches. The results of SEM revealed that trust (T), management style (MS), technology innovation (TI), risk analysis (RA), and perceived IT security risk (PITR) exercised a significant influence on CCA. The SEM results were taken as inputs for the ANN approach and ISM methodology. The results of ANN highlighted that perceived IT security risk, trust, and management style were the most important determinants for CCA. On the other hand, the ISM tool identified five factors, namely, decrease of internal systems availability (F1) (PITR cluster), utilization of internal resources (F14) (MS cluster), assurance of data privacy increases adoption rate (F16) (T cluster), innovativeness (F21), and previous experience (F22) (both from the TI cluster) as the top five significant variables with high driving power, among the 43 factors. The outcome of the hybrid approach is intended to guide the decision and policy-makers for easy evaluation of their organizational goals for choosing the most suitable computing environment for improving the efficiency and effectiveness of their business performance.
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Business continuity management (BCM) is a management process which is practised to counteract the negative impacts of possible threats to the continuity of organisational activities. This paper provides the criteria that contribute to the risk amplification for the disruption of business. Over the last two decades, global concerns have emerged due to natural disasters, and human-made disasters, which are also responsible for the business interruption. The purpose of this paper is to investigate the critical risk criteria of business continuity management/process and their potential impact on the businesses as well as their supply chain. Six criteria and 28 sub-criteria were selected from the literature review, and views of experts’ (academicians, and industry practitioners), and an AHP methodology has been adopted to rank the same. A criteria namely ‘organisational and management risk (OMR)’ and a sub-criteria namely ‘management policies failure’ were found to be the most significant. These research findings are intended to help the decision and policy makers in understanding the significance of critical risk criteria and for the formulation of effective policies and strategies for their elimination. Keywords: business continuity management; BCM; business continuity plan;
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Green IT, a future-oriented and pro-environmental information technology, is an emerging trend in IT. In Green IT acceptance, the norms of environmental responsibility are considered to be important factors along with economic factors such as perceived usefulness of the Technology Acceptance Model (TAM). This study proposes a technology acceptance model for Green IT by adding normative variables (descriptive, injunctive, and personal norms) to Davis's TAM and empirically analyzes the model. Our results indicate that personal norms, descriptive norms (a type of social norms), and environmental beliefs as well as perceived usefulness can directly affect an individual's intention to use Green IT. In addition, government regulations and environmental beliefs have significant effects on normative variables. These findings imply that pro-environmentalism of Green IT is an important boundary condition for the validity of the TAM.
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This study's purpose is to explore consumers’ intention to choose organic menu items at restaurants and their intention to visit restaurants featuring organic menu items. The study model was developed using the theory of planned behavior and the norm activation model. With a total of 461 responses, the results from structural equation modeling indicated that attitude, subjective norm, perceived behavioral control, and personal norm are determinants of intention to choose organic menu items, which eventually lead to consumers’ intention to visit restaurants featuring organic menu items. Theoretical and managerial implications of the research are discussed.
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As a modern alternative to cash, check or credit cards, the interest in mobile payments is growing in our society, from consumers to merchants. The present study develops a new research model used for the prediction of the most significant factors influencing the decision to use m-payment. To this end, the authors have carried out a study through an online survey of a national panel of Spanish users of smartphones. Two techniques were used: first, structural equation modeling (SEM) was used to determine which variables had significant influence on mobile payment adoption; in a second phase, the neural network model was used to rank the relative influence of significant predictors obtained by SEM. This research found that the most significant variables impacting the intention to use were perceived usefulness and perceived security variables. On the other side, the results of neural network analysis confirmed many SEM findings, but also gave slightly different order of influence of significant predictors. The conclusions and implications for management provide companies with alternatives to consolidate this new business opportunity under the new technological developments.
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This study aims to explore organizations’ intrinsic drivers of voluntarily adopting environmental innovations that are in early stage of diffusion. In particular, it investigates the vital role of dynamic capabilities in the decision-making process of adoption. Adopting a process-oriented model, this study focuses on the initiation (instead of implementation) process of innovation adoption and examines how dynamic capabilities can result in intention of adopting environmental innovation voluntarily. The findings show that dynamic capabilities have positive effects on organizational intention of adoption not only directly, but also indirectly through facilitating managers to interpret environmental innovations as an opportunity, rather than a threat. Furthermore, this partial mediating role of managerial interpretation between dynamic capabilities and environmental innovation adoption varies depending on organizational social position. Compared to central firms, peripheral firms tend to be more responsive to managerial interpretation. The chain from dynamic capabilities, to interpretation of environmental innovation as an opportunity, and finally to the intention of adoption is stronger for peripheral firms than for central ones.
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Green information technology and information system (ITIS) refer to sustainable practices that seek to prevent environmental pollution and attain sustainable development in collaborative enterprise (CE). By implementing green ITIS practices, collaborative enterprise can reduce the amount of energy used; decrease high cost incurred in their business process and also care for the long time sustainability of the environment and humanity. Therefore, the purpose of this research paper is to a carryout a structural literature review approach to review existing techniques applied to achieve sustainability and standards deployed to assist practitioners in implementing and diffusing green practices in CE. Finding from this review indicates that previously applied techniques and standards lacks the capability to support IT practitioners in making green decisions on how to implement and adopt sustainable practice in collaborative enterprise.
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People living in urban areas are encouraged to use urban green spaces (UGS) because of the physical, psychological and social benefits offered by the green environment to city dwellers. Prior studies have investigated the physical, socio-psychological and demographic factors in explaining the use of UGS; however, the moderating effect of social influence has rarely been examined. Based on the theory of planned behaviour, a model extending the predictors of behavioural intention was proposed in this study. Data were collected by a telephone survey conducted in Hong Kong. The results revealed that attitude, subjective norm, perceived behavioural control, and usefulness positively influence people's intention of using urban green areas. It was also proved that the interaction terms of usefulness and subjective norm, and perceived quality and subjective norm, negatively influence behavioural intention. Insightful implications for studying UGS behaviour, suggestions for urban planning and promotion of using urban green spaces are discussed.