Analysis of drivers for anti-food waste behaviour - TISM and MICMAC approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Archana Poonia ◽  
Shilpa Sindhu ◽  
Vikas Arya ◽  
Anupama Panghal
Keyword(s):  
Expert Opinion ◽  
Food Waste ◽  
Matrix Multiplication ◽  
Cultural Norms ◽  
Extensive Literature ◽  
Critical Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Micmac Analysis ◽  
Effective Interventions

Purpose This study aims to identify and analyse the interactions among drivers of anti-food waste behaviour at the consumer level. By understanding the mutual interactions among the drivers, an effort is made to identify the most driving and most dependent drivers through the total interpretive structural modelling (TISM) approach. Modelling offers inputs to propose focused interventions for reinforcing the identified drivers of anti-food waste consumer behaviour using the theoretical lens of social practices theory. Design/methodology/approach A proposed model of factors affecting anti-food waste behaviour is arrived at to suggest the most effective anti-food waste behavioural interventions. The factors were identified through an extensive literature search. A hierarchical structure of identified factors has been developed using TISM and MICMAC analysis through expert opinion. Focused marketing strategies towards promoting the identified factors for encouraging anti-food waste behaviour were suggested further. Findings This study identifies nine drivers based on extensive literature review, brainstorming and expert opinion. The TISM hierarchical model portrays the most important and least important drivers of household anti-food waste behaviour. It establishes that fundamental knowledge and socio-cultural norms are the most critical factors to drive the consumers. Marketers can focus on designing effective interventions to enhance the essential knowledge of the consumers and orient the socio-cultural norms towards anti-food waste behaviour. Practical implications This study offers implications for practitioners, policymakers and cause-driven marketing campaigns targeting anti-food waste behaviour. It provides an indicative list of critical factors relevant to household food waste behaviour, which can be used to drive effective marketing campaigns to nudge anti-food waste behaviours. Originality/value The proposed food waste behaviour management model was developed through modelling technique (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, and relating them to marketing interventions is a novel effort in the food waste domain.

TISM-based analysis of important factors for additive manufacturing in healthcare:a case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S. Logesh ◽  
S. Vinodh
Keyword(s):  
Health Care ◽  
Additive Manufacturing ◽  
Structural Model ◽  
Matrix Multiplication ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Factors Influencing

Purpose This paper aims to focus on developing a theoretical framework for the analysis of factors influencing additive manufacturing (AM) in the health-care domain. Design/methodology/approach A total of 18 factors are considered through extensive literature review and the relationship between each factor is studied using total interpretive structural modeling (TISM) and the model is logically developed. TISM model is developed using appropriate expert inputs. In addition, cross-impact matrix multiplication applied to classification (MICMAC) analysis is conducted to group the factors. Findings It was found that “ease of design” and “research and development” are the two most important factors with the highest driving power and dependencies. Through MICMAC analysis, the significance of factors is studied. Practical implications The study has been done based on inputs from academic experts and industry practitioners. The inferences from the study have practical relevance. Originality/value The development of a structural model for the analysis of factors influencing AM in the health-care domain is the original contribution of the authors.

To determine the critical factors for the adoption of cloud computing in the educational sector in developing countries – a fuzzy DEMATEL approach

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Riddhi Rajendra Thavi ◽  
Vaibhav S. Narwane ◽  
Rujuta Hemal Jhaveri ◽  
Rakesh D. Raut
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Influential Factors ◽  
Literature Survey ◽  
Extensive Literature ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Learning Skills ◽  
Content Type ◽  
Practical Implications

PurposeThe paper focuses on reviewing and theorizing the factors that affect the adoption of cloud computing in the education sector narrowing the focus to developing countries such as India.Design/methodology/approachThrough an extensive literature survey, critical factors of cloud computing for education were identified. Further, the fuzzy DEMATEL approach was used to define their interrelationship and its cause and effect.FindingsA total of 17 factors were identified for the study based on the literature survey and experts' input. These factors were classified as causes and effects and ranked and interrelated. “Required Learning Skills and Attitude,” “Lack of Infrastructure,” “Learners' Ability” and “Increased Investment” are found to be the most influential factors.Practical implicationsThe resultant ranking factors can be used as a basis for managing the process of cloud adoption in several institutions. The study could guide academicians, policymakers and government authorities for the effective adoption of cloud computing in education.Originality/valueThe study investigates interdependency amongst the factors of cloud computing for education in context with developing economy. This is one of first study in higher education institutes of India.

Modelling and analysis of barriers affecting the implementation of lean green agile manufacturing system (LGAMS)

2019 ◽  
Vol 26 (2) ◽  
pp. 498-529 ◽  
Author(s):  
Rahul Sindhwani ◽  
Varinder Kumar Mittal ◽  
Punj Lata Singh ◽  
Ankur Aggarwal ◽  
Nishant Gautam
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Agile Manufacturing ◽  
Extensive Literature ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Top Managers ◽  
Discrete Manner ◽  
Practical Implications

Purpose Many types of research have already investigated the lean, green or agile manufacturing systems in a discrete manner or as combinations of two of them. In today’s competitive scenario, if industry wants to perpetuate its name in the market, then it has to supervene proper thinking and smart approach. Therefore, the combination of lean, green and agile manufacturing systems can provide better and beneficial results. The purpose of this paper is to discern the barriers to the combined lean green agile manufacturing system (LGAMS), understand their interdependence and develop a framework to enhance LGAMS by using total interpretive structural modeling (TISM) and MICMAC (Matriced’ Impacts Croise’s Multiplication Appliquée a UN Classement) Analysis. Design/methodology/approach This paper uses TISM methodology and MICMAC analysis to deduce the interrelationships between the barriers and rank them accordingly. A total of 13 barriers have been identified through extensive literature review and discussion with experts. Findings An integrated LGAMS has been presented that balances the lean, green and agile paradigms and can help supply chains become more efficient, streamlined and sustainable. Barriers are identified while referring to all three strategies to showcase the clear relevance. TISM models the barriers in different levels showcasing direct and important transitive relations. Further, MICMAC analysis distributes the barriers in four clusters in accordance with their driving and dependence power. Research limitations/implications The inferences have been drawn from a model developed on the basis of inputs from a small fraction of the industry and academia and may show variations when considering the whole industry. Practical implications The outcome of this research can contribute to bringing the change to the manufacturing systems used in most developing nations. Also, top managers considering adoption of LGAMS can be cautious of the most influential barriers. Originality/value A TISM-based model of the barriers to an integrated LGAMS has been proposed with evaluation of the influence of the barriers.

A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India

2020 ◽  
Vol 38 (5) ◽  
pp. 665-681
Author(s):  
Binoy BV ◽  
Naseer MA ◽  
Anil Kumar PP
Keyword(s):  
Expert Opinion ◽  
Urban Areas ◽  
Environmental Planning ◽  
Delphi Survey ◽  
Land Value ◽  
Critical Factors ◽  
Content Type ◽  
Factors Influencing ◽  
Importance Index

PurposeLand value is a measure of the specific features of a property, excluding buildings and other developments. Land value varies depending on the economic, geographic and political aspects of a particular location. The primary purpose of the paper is to identify the general and location-specific attributes impacting property prices in urban Kerala.Design/methodology/approachThe objective of the current study was achieved through a three-cycle Delphi survey and relative importance index (RII) approach. The experts who aided in the survey had a mutual interest in the subject but came from different backgrounds like property valuation, real estate, urban and environmental planning. The initial group of variables identified from the literature was expanded and scrutinized in the first cycle of the Delphi survey. The variables were grouped into five major categories and 13 subcategories based on the literature and expert opinion. In the subsequent stages, the short-listed variables were rated on a seven-point Likert scale until a consensus was attained. The top-ranked variables were identified through the RII method as the critical factors influencing land value in urban Kerala.FindingsThe results indicate that road accessibility and proximity to nuisance sources are the most crucial parameters. The outcome of the study will provide a better understanding of the dynamics of land value and the influencing factors in urban areas.Originality/valuePrevious studies do not give much consideration for the location-specific variability on the influencing parameters. Property management research has not considered the usage of expert opinion and RII for variable selection.

Preliminary building information modelling adoption model in Malaysia

2014 ◽  
Vol 14 (4) ◽  
pp. 408-432 ◽  
Author(s):  
Wallace Imoudu Enegbuma ◽  
Uche Godwin Aliagha ◽  
Kherun Nita Ali
Keyword(s):  
Construction Industry ◽  
Mediating Effect ◽  
Extensive Literature ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Collaborative Processes ◽  
Building Information ◽  
The Relationship

Purpose – This paper aims to investigate the relationship between building information modelling (BIM) adoption from the perspectives of people, process and technology to strategic information technology (IT) in construction mediated by collaborative processes for new BIM entrants. The demand pull for more effective project delivery in the construction industry across the globe has continued to transform design techniques from two-dimensional, three-dimensional (3D) and, currently, BIM. Leverage on IT is pivotal for construction industry development as earmarked by the Malaysian construction industry master plan. BIM uptake by stakeholders in Malaysia construction industry is on a gradual increase. BIM generates and manages building data during its life cycle via 3D, real-time, dynamic building modelling. Design/methodology/approach – BIM model is dependent on collaborative contribution by project teams’ input at various stages. However, challenges such as people, process and technology impede an effective adoption rate in Malaysia. This paper presents a continuation of an ongoing theoretical framework developed, to further investigate the relationship between BIM adoption from perspectives of people, process and technology to strategic IT in construction and collaborative process. To develop the framework, an extensive literature review on factors affecting BIM adoption was carried out. The underlining gap stems from a positivist standpoint in examining human – IT interaction. The model builds on conceptual technology acceptance models incorporating strategic IT implementation and collaborative processes in the industry. Findings – The paper examined factors affecting BIM adoption in Malaysia. The factors are further affected by the environment where BIM is utilised. The paper also presents the mediating effect of collaboration for new BIM entrants. Overall, the theorised hypotheses delineate the strength and significance of the examined relationship within the model. Subsequently, the data will be collected from construction industry professionals (architects, quantity surveyors, engineers and contractors) through the developed survey instrument. The hypotheses will undergo structural equation modelling to analyse the desired statistical power, test for close versus exact fit and complexity of the model. Social implications – The findings will delineate the variables with predominant impact on BIM adoption and serves as a guide to future policymaking on BIM implementation in Malaysia. Originality/value – Current research on BIM in Malaysia is limited to readiness and awareness. This paper extends the need for empirical findings from construction professionals’ perception of BIM. The findings also explain reasons for BIM adoption in new BIM entrants and add to current body of knowledge on IT acceptance model formation.

Critical factors affecting the performance of large construction projects in developing countries

2019 ◽  
Vol 18 (3) ◽  
pp. 531-556
Author(s):  
Djoen San Santoso ◽  
Polwatta Gallage Madusha Piumal Gallage
Keyword(s):  
Developing Countries ◽  
Sri Lanka ◽  
Qualitative Methods ◽  
Construction Projects ◽  
Local Context ◽  
Infrastructure Development ◽  
Critical Factors ◽  
Content Type ◽  
Factors Affecting ◽  
Quantitative And Qualitative Methods

Purpose This paper aims to analyse the factors affecting the performance of large construction projects in Sri Lanka. The causes, impacts and mitigations in association with the critical factors are explored and discussed. Design/methodology/approach The research focuses on the evaluation and perspectives of clients and contractors of large projects in Sri Lanka. Combined quantitative and qualitative methods were applied in this research. Initially, a questionnaire survey was conducted with clients and contractors involved in large projects to evaluate the factors affecting the performance of projects and to identify the ten most critical factors. Interviews with the clients and contractors of three large projects were conducted to examine the causes and impacts of the critical factors and the approaches used to mitigate them. Findings Significant differences in the factors were observed for more than 40 per cent of the total factors under study, the contractors assigning more weight to most of the factors than the clients. The study identified nine internal factors and one external factor as the critical factors. Of these, seven were related to the contractors, which suggested that the contractors have greater roles in defining performance. Lack of management and technical skills of the parties involved, human capacity, lack of understanding and knowledge of the local context, changes in government policies and political interference were identified as significant causes of the critical factors. Originality/value The study analysed the factors affecting the performance of large projects in Sri Lanka, which, at the time of research, had just ended a 26-year-long civil war and was pushing the construction of large projects to be competitive. The challenges faced in this effort were explored as lessons learnt that might improve the efficiency and effectiveness of infrastructure development in Sri Lanka. The combined quantitative and qualitative methods applied in this study are expected to provide new insights in the project performance research, especially the interviews of the critical factors to gain an understanding on how the factors occurred and manifested themselves in real projects. The findings are, however, expected to be applicable to other developing countries that are currently aggressively developing their large infrastructure.

Factors influencing organizational agility in higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shalini Menon ◽  
M. Suresh
Keyword(s):  
Higher Education ◽  
Organizational Structure ◽  
Human Resource ◽  
Structural Model ◽  
Readiness To Change ◽  
Matrix Multiplication ◽  
Extensive Literature ◽  
Organizational Agility ◽  
Interpretive Structural Modeling ◽  
Content Type

PurposeThe purpose of this paper is to explore the factors that can facilitate agility in higher education and to analyze the interrelationship between the factors.Design/methodology/approachA structured model of factors facilitating agility in higher education was developed using total interpretive structural modeling (TISM). Cross-impact matrix multiplication (MICMAC) analysis helped in classifying the factors on the basis of their driving and dependency power.FindingsAn extensive literature review and expert opinion helped in identifying eight enablers that can promote agility in higher education. The ability to sense the environment, organizational structure, adoption of ICT, organizational learning, human resource strategies, leadership, readiness to change and collaboration with the stakeholders were the eight factors identified. The structural model revealed leadership as the most crucial enabler followed by human resource strategies and organizational structure.Research limitations/implicationsThe model has incorporated and prioritized all the crucial drivers of agility that can help universities and colleges design, adopt and implement policies and practices that would facilitate agility.Originality/valueSo far, the research on agility in higher education has looked into each factor in isolation. This research provides a comprehensive list of the factors and establishes the interplay between the factors making this study new and original.

Application of total interpretive structural modeling for analyzing factors of additive manufacturing and industry 4.0 integration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vishal Ashok Wankhede ◽  
Vinodh S.
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Structural Model ◽  
Matrix Multiplication ◽  
Structural Modeling ◽  
Influential Factors ◽  
Time Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration. Design/methodology/approach AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor. Findings The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively. Research limitations/implications In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies. Practical implications The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption. Originality/value The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.

Restaurant management and food waste reduction: factors affecting attitudes and intentions in restaurants of Spain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Viachaslau Filimonau ◽  
Ayşen Coşkun ◽  
Belen Derqui ◽  
Jorge Matute
Keyword(s):  
Market Orientation ◽  
Food Waste ◽  
Structural Equation ◽  
Large Scale ◽  
Behavioural Intention ◽  
Content Type ◽  
Factors Affecting ◽  
Restaurant Management ◽  
Negative Effect ◽  
Neutralization Theory

Purpose Although the challenge of food waste (FW) in the foodservice sector is significant, restaurant managers do not always engage in its reduction. The psychological reasons for this disengagement remain insufficiently understood. This study aims to explore the antecedents of behavioural intention of restaurateurs (not) to reduce FW. The influence of three factors is tested, namely, market orientation; environmental apathy alongside selected neutralization techniques, namely, appeal to higher loyalties; denial of injury and denial of responsibility. Design/methodology/approach The study uses the method of a large-scale managerial survey (n = 292) administered in the commercial foodservice sector of Spain. The data are analysed via structural equation modelling with partial least squares. Findings The study finds that market orientation affects managerial intention to reduce FW but not their attitude, while environmental apathy influences managerial attitudes but not their behavioural intention. The study confirms the negative effect of such neutralizers as the appeal to higher loyalties and the denial of injury on suppressing managerial intention to reduce FW. Contrary to initial anticipations, another established neutralizer, the denial of responsibility, exerts no significant effect. Practical implications The study elaborates on the interventions necessitated to neutralize the effect of the neutralizers on managerial (un)willingness to reduce FW in the commercial foodservice sector. Originality/value This is the first known attempt to understand the drivers of managerial engagement in FW reduction in the commercial foodservice sector through the prism of environmental apathy, market orientation and neutralization theory.

Green building projects: schedule performance, influential factors and solutions

2015 ◽  
Vol 22 (3) ◽  
pp. 327-346 ◽  
Author(s):  
Bon-Gang Hwang ◽  
Xianbo Zhao ◽  
Lene Lay Ghim Tan
Keyword(s):  
Negative Impact ◽  
Green Building ◽  
High Response Rate ◽  
Influential Factors ◽  
Clear Understanding ◽  
Critical Factors ◽  
Building Projects ◽  
Content Type ◽  
Factors Affecting ◽  
Schedule Performance

Purpose – The purposes of this paper are to: investigate schedule performance of new and retrofitting green building projects; identify the critical factors that influence the schedule performance of new and retrofitting green building projects; and provide solutions to improve schedule performance of new and retrofitting green building projects. Design/methodology/approach – A questionnaire survey were conducted and responses were received from 34 firms experienced in green building projects in Singapore. After the data from the survey had been analyzed, face-to-face interviews were conducted with two senior project managers to solicit comments on the survey results. Findings – This study identified the degree of project delay in 98 new green building projects and 51 retrofitting green building projects in Singapore. The result indicated that 22 percent of the Singaporean green building projects were plagued with delay and retrofitting projects had a significantly higher likelihood of delay and significantly longer extension than new projects. In addition, “consultant cooperation to solve problems” was the most influential to schedule performance of both new and retrofitting green building projects, and the two project groups agreed on the overall ranking of the factors affecting schedule performance. Research limitations/implications – There may be geographical limitation on the conclusions drawn from the findings. Also, the sample size was still small, despite a relatively high response rate. In addition, the majority of the respondents were contractors as other project players were reluctant to respond to the survey. Practical implications – This study provides a clear understanding of the schedule performance of green building projects as well as the critical factors that should be highlighted when constructing green building projects. Also, strategies to overcome the negative impact of these factors allow practitioners to better deal with the potential causes of delay and to attain the schedule performance. Originality/value – Although construction delays have been widely investigated in previous studies relating to construction management, few have attempted to analyze the schedule performance of new and retrofitting green buildings. Thus, this study adds significantly to the existing research on both green building and construction delay.

Sign in / Sign up

Export Citation Format

Share Document