Enablers of halal food purchase among Muslim consumers in an emerging economy: an interpretive structural modeling approach

2020 ◽  
Vol 122 (7) ◽  
pp. 2273-2287 ◽  
Author(s):  
Waseem Khan ◽  
Asif Akhtar ◽  
Saghir Ahmad Ansari ◽  
Aruna Dhamija
Keyword(s):  
Purchase Intention ◽  
Strong Dependence ◽  
Structural Modeling ◽  
Marketing Strategies ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Food Purchase ◽  
Micmac Analysis ◽  
Halal Food ◽  
Effective Product

PurposeThis study aims at identifying a set of determinants that affect halal food purchase intention and measures the relative ranks of these determinants in purchasing halal food among Muslim consumers in India.Design/methodology/approachInterpretive structural modeling (ISM) approach has been employed in the research, which is an expert opinion-based approach. The opinions of experienced academicians and marketing professionals have been recorded for reaching to the conclusions. Matrice d' impacts croises multiplication appliqué an classement (MICMAC) analysis has also been applied to examine the driving and dependent power of these determinants.FindingsDriver power–dependence matrix reveals that although knowledge of halal and attitude are weak drivers, yet they are strongly dependent upon other determinants. These two variables are at the top of the ISM digraph hierarchy. Food safety and halal labeling have strong driving power, as well as strong dependence. Three determinants, namely brand origin, religiosity and price, have strong driving powers and weak dependence. These variables lay at the bottom level of the ISM model.Practical implicationsThis study provides a better understanding of the determinants of halal food purchase intention. This will help the marketers for making appropriate and effective product design and other marketing strategies suited to the needs of the consumer.Originality/valueThis is the first study that examines the interrelationships between determinants and relative rank of these determinants in halal food purchase, using ISM approach and MICMAC analysis.

Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis

2019 ◽  
Vol 36 (7) ◽  
pp. 1159-1180 ◽  
Author(s):  
Nishant Mukesh Agrawal
Keyword(s):  
Manufacturing Industry ◽  
Structural Modeling ◽  
Total Quality ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Practical Applications ◽  
Micmac Analysis ◽  
Significant Relationships ◽  
Quality Principles ◽  
Quality Framework

Purpose The purpose of this paper is to study the 14 principles of Edwards Deming and create significant relationships between them. No research has been reported on the implementation of Total Quality Management (TQM) using Deming’s 14 principles. To fill this gap, Interpretive Structural Modeling (ISM) and MICMAC analysis have been developed to understand mutual interactions among variables and find both the dependence and driving power of these variables. Design/methodology/approach The research paper discusses a blend of practical applications and introduces a theoretical framework. An ISM-based methodology is used to study and examine interactions between identified variables, while MICMAC analysis is used to identify the dependence and driving power. Findings This research utilizes Deming’s 14 quality principles, with experts from academia and industry consulted to identify contextual relationships among variables. The result shows that the stated principles “take action to accomplish the transformation,” “institute training,” “encourage education to employees” and “institute leadership” are strategic requirements, while “drive out fear,” “break down barrier between staff areas” and “eliminate numerical quotas” are tactical requirements. “Adopt the new philosophy,” “create constancy in improvement of product and service” and “cease dependence on mass inspections” are operational requirements for TQM applications. Originality/value An ISM-based quality framework, dependence power and driving power of variables using MICMAC analysis have been recommended to the service and manufacturing industry as a new focus area in the implementation of TQM.

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.

Modeling reconfigurability in supply chains using total interpretive structural modeling

2017 ◽  
Vol 14 (2) ◽  
pp. 194-221 ◽  
Author(s):  
Pallab Biswas
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
New Product Development ◽  
Structural Changes ◽  
Structural Modeling ◽  
Global Market ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis ◽  
Expert Opinions

Purpose The purpose of this paper is to identify, analyze, and categorize the major enablers of reconfigurability that can facilitate structural changes within a supply chain in a global scenario. The paper also addresses five reconfigurability dimensions in the perspective of supply chains and the major enablers to attain them. The paper further aims to understand the mutual interactions among these enablers through the identification of hierarchical relationships among them. Design/methodology/approach A framework that holistically considers all the major enablers of reconfigurability has been developed. The hierarchical interrelationships between major enablers have been presented and interpreted using a novel qualitative modeling technique, i.e., total interpretive structural modeling (TISM), which is an extension of ISM. SPSS 22.0 is employed to carry out a one-tailed one-sample t-test further to test the hypotheses for validating the results of TISM. Impact matrix cross-reference multiplication applied to a classification (MICMAC) analysis has been employed to identify the driving and dependence powers of these reconfigurability enablers. Findings In this paper, 15 enablers for reconfigurability paradigm have been identified through literature review and expert opinions. The authors established interrelationships and interdependencies among these enablers and categorized them as enablers of each dimension. New product development and customer satisfaction come at the highest level of priority. The levels of these enablers were obtained using TISM. The authors compared the results with the clusters derived from MICMAC analysis, and the results are found to be well within the acceptable range. Research limitations/implications The study has implications for both practitioners and academia. The work provides a comprehensive list of enablers that are relevant to reconfigure supply chains in today’s volatile global market. This research will also help decision makers to strategically focus on the top-level enablers and their concerned dimensions. The research is based on an automobile company case study and can be extended to products with volatile and changing demands. Originality/value The proposed model for reconfigurability enablers using TISM is a new effort altogether in the area of supply chain management. The novelty of this research lies in its identification of specific enablers to reconfigure a supply chain through different dimensions.

Modeling the factors affecting the quality of life in diabetic patients in India using total interpretive structural modeling

2019 ◽  
Vol 26 (3) ◽  
pp. 951-970 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Structural Modeling ◽  
World Health ◽  
Psychological State ◽  
Diabetic Patients ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Micmac Analysis

Purpose Diabetes mellitus has become a major world health problem that has unenviable impacts on health of the people including quality of life (QOL) also and in which person’s physical and psychological state, social commitments and relationships and his interaction with the environment is affected. This shows that there is an urgent need for behavior change and considerable educational strategies for proper management and rehabilitation (Reddy, 2000). This research has identified and ranked the significant factors which affect the QOL in diabetic patients in India. The paper aims to discuss these issues. Design/methodology/approach In this paper, nine factors which affect the QOL in diabetic patients in India have been identified through review of the literature and evaluated by total interpretive structural modeling (TISM) approach, i.e. an extended version of ISM. In this approach, interpretations of the interrelationship among factors have been discussed. Therefore, TISM approach has been used to develop the model and the mutual interactions among these factors. Findings The results of the model and MICMAC analysis indicate that diet restriction, body pain and satisfaction with treatment are the top-level factors. Practical implications Identification of the factors that have a remarkable effect on the QOL in diabetic patients is very important so that the doctors and other healthcare professionals may handle these factors efficiently and proper rehabilitation can be provided to such patients. Originality/value This paper has used an application of the TISM approach to interpret the mutual relationship by using the tool of interpretive matrix and has developed a framework to calculate the drive and the dependence power of factors using MICMAC analysis. The issues related to QOL are extremely important, as they can strongly anticipate a person’s capability to govern his lifestyle with disease like diabetes mellitus and maintain good health in the long run. This shows the urgent requirement of an optimized model which can predict and interpret the relationships among these factors. In this research, the interrelationships among these factors have been developed and interpretations of these interactions have been given to develop a comprehensive model so that QOL of diabetic patients may be improved.

Non-Muslim consumers’ intention to purchase halal food products in Malaysia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yong Hion Lim ◽  
Suddin Lada ◽  
Rahat Ullah ◽  
Azaze-Azizi Abdul Adis
Keyword(s):  
Food Choice ◽  
Purchase Intention ◽  
Structural Equation ◽  
Food Products ◽  
Private Higher Education ◽  
Perceived Behavioral Control ◽  
Content Type ◽  
Food Purchase ◽  
Intention To Purchase ◽  
Halal Food

Purpose This study aims to identify the intention to purchase Halal food products amongst non-Muslim consumers in Malaysia, moderated by the acculturation effect. Design/methodology/approach A structured close-ended questionnaire was used to gather data through the random distribution of 397 non-Muslim consumers from the Alumni network of several private higher education institutions in Malaysia. Findings The collected data was analyzed through the structural equation modelling technique using partial least squares with SmartPLS 3.0. The result indicated that attitude, subjective norms and perceived behavioral control were positively influenced by the purchase decision of Halal food products amongst non-Muslim consumers in Malaysia. Apart from that, the acculturation effect moderates the relationship between attitude and intention to purchase. Research limitations/implications This finding will contribute to academics, Halal food makers and government in understanding the Halal food purchase intention amongst non-Muslim consumers in Malaysia. Practical implications The outcome of this study can be used as an input for Halal entrepreneurship in terms of marketing and operation strategy. On the government aspect, this study also provides an implication on national public policy and strategic economic planning in developing overall national Halal policy. Social implications The social harmonization amongst the multiple races in Malaysia is partially contributed through the acculturation effect. The acculturation effect has been reflected through the food choice decision amongst Malaysian, despite of different religious belief and home culture background. Originality/value Research in studying Halal food purchase intention amongst non-Muslim consumers are scarce. This research is able to reinforce the theory of planned behavior model in dealing with Halal food choice decisions, taking into consideration of acculturation effect.

Modeling the key barriers to lean construction using interpretive structural modeling

2017 ◽  
Vol 12 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Structural Modeling ◽  
Lean Construction ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Micmac Analysis ◽  
Relationship Of

Purpose The purpose of this study is to identify and analyze the key barriers to lean implementation in the construction industry using interpretive structural modeling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach In this study, 13 barriers to lean construction (LC) have been identified through extensive review of literature and subsequently eliciting expert opinions. A proper hierarchy and contextual relationship of the barriers have been developed using ISM, and based on the driving and dependence power of the barriers, three groups of barriers have been found using MICMAC analysis. Findings Cultural differences are found to be the most important barrier to LC, whereas employees’ resistance to change and lack of performance measurement systems are the least significant barriers. Research limitations/implications The work is limited to literature review and experts’ opinion, and the model may be tested using structural equation modeling to verify the relationship of the barriers. Practical implications This ISM-based model would help the decision-makers, researchers and practitioners to prioritize and manage these barriers by better utilizing their resources for eliminating or minimizing the barriers to lean implementation. Originality/value The study of barriers to LC through an ISM-based model and the classification of barriers is a new attempt in the field of construction.

Halal food purchase intention of Muslim students in Spain: testing the moderating effect of need-for-cognition

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahir Pradana ◽  
Aditya Wardhana ◽  
Nurafni Rubiyanti ◽  
Syahputra Syahputra ◽  
Dian Gita Utami
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Need For Cognition ◽  
Traditional Theory ◽  
Muslim Students ◽  
Content Type ◽  
Food Purchase ◽  
Halal Food ◽  
The Relationship ◽  
Practical Implications

Purpose This paper aims to investigate the purchase intention of halal food products in Spain, from the perspective of Muslim students. Design/methodology/approach Data were collected from 500 Muslim students living in Spain. Variance-based structural equation modelling was applied to evaluate the association between halal credence, attitude towards halal, need for cognition and purchase intention. Findings This study reveals that the need for cognition does not act as a moderating variable, while halal credence factor is an important factor affecting attitude towards halal and purchase intention. Practical implications This study provides an additional study on the topic of halal consumer behaviour, especially by showing an empirical result from Spain. Originality/value This study is the first attempt to incorporate the need for cognition into the relationship between halal credence, attitude towards halal and purchase intention (traditional theory of planned behaviour model).

Healthcare waste management: an interpretive structural modeling approach

2016 ◽  
Vol 29 (5) ◽  
pp. 559-581 ◽  
Author(s):  
Vikas Thakur ◽  
Ramesh Anbanandam
Keyword(s):  
Waste Management ◽  
Structural Modeling ◽  
World Health ◽  
Interpretive Structural Modeling ◽  
Indian States ◽  
Content Type ◽  
Healthcare Waste ◽  
Micmac Analysis ◽  
Healthcare Waste Management ◽  
Health Organization

Purpose – The World Health Organization identified infectious healthcare waste as a threat to the environment and human health. India’s current medical waste management system has limitations, which lead to ineffective and inefficient waste handling practices. Hence, the purpose of this paper is to: first, identify the important barriers that hinder India’s healthcare waste management (HCWM) systems; second, classify operational, tactical and strategical issues to discuss the managerial implications at different management levels; and third, define all barriers into four quadrants depending upon their driving and dependence power. Design/methodology/approach – India’s HCWM system barriers were identified through the literature, field surveys and brainstorming sessions. Interrelationships among all the barriers were analyzed using interpretive structural modeling (ISM). Fuzzy-Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis was used to classify HCWM barriers into four groups. Findings – In total, 25 HCWM system barriers were identified and placed in 12 different ISM model hierarchy levels. Fuzzy-MICMAC analysis placed eight barriers in the second quadrant, five in third and 12 in fourth quadrant to define their relative ISM model importance. Research limitations/implications – The study’s main limitation is that all the barriers were identified through a field survey and barnstorming sessions conducted only in Uttarakhand, Northern State, India. The problems in implementing HCWM practices may differ with the region, hence, the current study needs to be replicated in different Indian states to define the waste disposal strategies for hospitals. Practical implications – The model will help hospital managers and Pollution Control Boards, to plan their resources accordingly and make policies, targeting key performance areas. Originality/value – The study is the first attempt to identify India’s HCWM system barriers and prioritize them.

Why do consumers buy organic food? Results from an S–O–R model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Austin Rong-Da Liang ◽  
Wai-Mun Lim
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Organic Food ◽  
Consumer Preference ◽  
Marketing Strategies ◽  
Natural Food ◽  
Consumer Attitude ◽  
Food Labelling ◽  
Content Type ◽  
Food Purchase

PurposeOrganic food consumption is a complex process that makes it difficult for organic food businesses to develop appropriate marketing strategies. This study thus adopted the stimuli–organism–response (S–O–R) model to create a comprehensive framework to understand consumers' organic food purchase decisions.Design/methodology/approachThis study collected 592 valid samples in organic food chain stores and markets by random sampling method. Meanwhile, structural equation modelling was adopted to test hypotheses.FindingsThe research findings indicate that consumer preference for natural food was the most important factor for enhancing purchase intention, followed by health consciousness, health risk, attitude towards organic food and trust in labelling. Perceptions of nutritional value positively influenced attitudes towards organic food and trust in labelling, followed by perceptions of environmental effects; conversely, attitudes towards organic food labelling had the least effect on increasing trust in labelling. Attitudes towards organic food labelling was the most important factor influencing positive attitudes towards organic food, followed by consumer perception of environmental protection effects.Originality/valueThis study demonstrates the relative influence of different variables on organic food purchase intention. Compared with consumer attitude towards organic food and trust in labelling, consumers' individual health was the most important factor influencing their purchase intention. As health and naturalness are attractive factors for consumers, the organic food industry can emphasize health protection in their marketing strategies.

An empirical study on non-Muslim’s packaged halal food manufacturers

2016 ◽  
Vol 7 (4) ◽  
pp. 441-460 ◽  
Author(s):  
Afshan Azam
Keyword(s):  
Purchase Intention ◽  
Muslim Community ◽  
Specific Product ◽  
Content Type ◽  
Product Categories ◽  
Lifestyle Choice ◽  
Consumer Purchase Intention ◽  
Halal Food ◽  
Packaged Food ◽  
Practical Implications

Purpose This study aims to investigate the determinant factors that consumers may consider in buying halal packaged food produced by non-Muslim manufacturers. Design/methodology/approach This paper develops a seven-constructs-based model. Halal awareness, Islamic brand and product ingredients are used as the pre-determined factors for measuring consumer’s purchase intention. Findings The hypotheses which were tested using partial least squares have revealed that halal awareness and product ingredients have significantly influenced Muslims’ intention to buy halal packaged food that are produced by non-Muslim manufacturers. The findings show that the religious belief, exposure and certification/logo are potential sources of Muslim awareness about halal packaged food from non-Muslim manufacturers. Research limitations/implications This research is also not exempted from its limitations. The data collected for the current study investigate general purchase toward halal products. It would be interesting if future researchers examine consumers’ purchase intention toward specific halal products for specific product categories. A comparative study is also worthy of being steered, as such a study is beneficial for producers and marketers of the halal industry. Practical implications As an overall implication, this study will provide a valuable and important information for non-Muslim halal packaged food manufacturers in identifying the appropriate strategy to fulfill the needs and wants of Muslim consumers at best. It is sufficed to suggest that the Muslim community has adopted halal food from non-Islamic brands as part of their lifestyle choice. Clearly, this gives implications to non-Muslim halal food producers. Thus, it is critical for food manufacturers to increase the level of awareness toward halal products by providing sufficient and interesting information, especially on halal certification. Hence, the manufacturer must take the opportunity to do intensive promotion to encourage more consumers to purchase their products. Originality/value This paper examines consumer purchase intention toward non-Muslim packed food manufactures in Saudi Arabia. It is critical for non-Muslim packed halal food manufacturers to increase the level of awareness toward halal products by providing sufficient and interesting information, especially on halal certification.

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