Academia a new knowledge supplier to the industry! Uncovering barriers in the process

2019 ◽  
Vol 16 (5) ◽  
pp. 715-733 ◽  
Author(s):  
Ankur Kashyap ◽  
Rajat Agrawal
Keyword(s):  
Higher Education ◽  
Supply Chain ◽  
Structural Model ◽  
Practical Implication ◽  
Hybrid Approach ◽  
Research Problem ◽  
Expert Elicitation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Knowledge Component

Purpose In the era of Industry 4.0, knowledge component plays a vital role in manufacturing. For tacking the new complexities of the business, a concept of knowledge supply chain (KSC) is being proposed, which takes into account of knowledge component. Higher education institutes (HEIs) which are primary creator of knowledge are important foundations of such supply chain and act as the “knowledge supplier.” The purpose of this paper is to focus on why the HEIs are failed to become knowledge supplier in developing country like India. Design/methodology/approach This research paper adopts a resource-based theory to explore the concept and identify barriers which obstructs the progress of HEIs to become prominent knowledge supplier to industry. To tackle the research problem, an integrated hybrid approach of interpretive structural modeling–analytic hierarchy process is used. Expert elicitation was engaged to find out the prominence of each barrier and the interrelations among them. Findings Based on literature review, eight critical barriers were recognized. The findings put forward a four layer structural model. Based on this model, various remedial actions are also suggested to eliminate the barriers or lessen their negative effects on KSC. Practical implications This study finds its practical implication in higher education reforms as the identified barriers could enhance the decision-making quality regarding academia–industry interaction. Social implications Using the results of the study, HEIs could improve their social sustainability as they have different stakeholders covering wider sections of society and one being industry. Originality/value Most of the existing studies talk about short-term interactions like technology transfer. This study takes into account the barriers which are acting as roadblocks in long-term knowledge supplying role of HEIs.

Sustainable logistics barriers of fruits and vegetables

2018 ◽  
Vol 25 (8) ◽  
pp. 2589-2610 ◽  
Author(s):  
Rakesh Raut ◽  
Bhaskar B. Gardas
Keyword(s):  
Supply Chain ◽  
Value Chain ◽  
Fruits And Vegetables ◽  
Structural Model ◽  
Fresh Produce ◽  
Sustainable Transportation ◽  
Three Dimensions ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Sustainable Logistics

PurposeThe reduction of food wastage at every stage of a fresh produce supply chain helps in achieving balance among all three dimensions (social, ecological and economic) of the sustainability and helps in stimulating the growth and development in the agricultural domain. The purpose of this paper is to address the causal factors of post-harvesting losses (PHLs) occurring in the transportation phase.Design/methodology/approachThrough exhaustive literature survey and expert opinions, 12 crucial barriers to sustainable transportation of fruits and vegetables (F&V) are identified. The interpretive structural modeling (ISM) methodology, a multi-criteria decision-making (MCDM) approach, is employed for developing a structural model of the identified barriers.FindingsThe results of the analysis highlighted that two factors, namely, the non-availability of refrigerated vehicles, and excessive loading on the vehicles, are the most significant barriers to sustainable transportation which are found to have the highest driving power.Research limitations/implicationsThe results of the present research are applicable to the F&V supply chains only. The established interrelation among the identified factors depends on the judgments given by the experts which could be biased. The developed ISM model is intended to guide the policy and decision makers for formulating the policies for the performance improvement of the fresh produce value chain.Originality/valueIt is the first research of its kind focusing on the model development of critical factors causing PHLs in the transportation phase of the agricultural fresh produce supply chain using MCDM process.

Big data analytics based enablers of supply chain capabilities and firm competitiveness: a fuzzy-TISM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nisha Bamel ◽  
Umesh Bamel
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Structural Model ◽  
Big Data Analytics ◽  
Integrated Approach ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
People Skills ◽  
Interpretive Structural Model

PurposeThis paper aims to identify the big data analytics (BDAs) based enablers of supply chain capabilities (SCCs) and competitiveness of firms. This paper also models the interaction among identified enablers and thus projects the relationship strength of these enablers with SCC and a firm's competitiveness.Design/methodology/approachIn order to achieve the research objectives of this paper, we employed fuzzy total interpretive structural modeling (TISM), an integrated approach of an interpretive structural model and TISM.FindingsResults suggest that BDA-based enablers namely, IT infrastructure for BDA; leadership commitment; people skills for use of BDA and financial support for BDA significantly enable SCC and enhance firm competitiveness.Practical implicationsResults of the present study have implications for researchers and practitioners; the results will enable them to design policies around identified enablers of BDA initiatives.Originality/valueThe present paper is one of a few early efforts that address the role of BDA in augmenting SCC and subsequently a firm's competitiveness from a resource-dynamic capability perspective.

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.

Modeling resilient factors of the supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajeet Kumar Yadav ◽  
Cherian Samuel
Keyword(s):  
Supply Chain ◽  
Structural Model ◽  
Influencing Factor ◽  
Research Work ◽  
Theoretical Concept ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Theoretical Contribution ◽  
Management Culture ◽  
Dependence Relationship

Purpose This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors based on their interrelationships. Design/methodology/approach This paper has used a mixed-approach of literature review and expert opinion to identify the factors of RSC. For the development of the structural model and clustering of the factors, this paper has used the total interpretive structural modeling approach with Matrice d’Impacts Croises-Multiplication Applique and Classment and decision-making trial and evaluation laboratory analysis. Findings In total, this study has identified 17 factors that enable the 3R capability of the RSC. The result shows that the factors have a close dependence relationship with supply chain (SC) risk management culture as the most influencing factor. Further, this study classifies the factors into enablers and strategies. Research limitations/implications This research work is the theoretical contribution to the RSC concept and helps the experts to develop and improve the resilient ability in the SC. This research is based entirely on subjective expert feedback; thus, the results are sensitive to the expert’s judgment. Practical implications This research will help the decision-makers in allocating the resources and policies to develop or improve the SC capabilities. Originality/value This research work is the first kind of research in the field of the RSC that considers the 3R concept to identify and model the resilient factors of the SC. Along with the theoretical concept, this research provides empirical evidence for the importance ranking of the factors.

Social sustainability in the supply chain: analysis of enablers

2015 ◽  
Vol 38 (9) ◽  
pp. 1016-1042 ◽  
Author(s):  
V. Mani ◽  
Rajat Agrawal ◽  
Vinay Sharma
Keyword(s):  
Supply Chain ◽  
Structural Model ◽  
Health And Safety ◽  
Social Sustainability ◽  
Safety Education ◽  
Interpretive Structural Modeling ◽  
Ethical Practices ◽  
Content Type ◽  
Expert Opinions ◽  
Supply Chain Analysis

Purpose – This study aims to identify various enablers and the inter-relationships among them in adopting social sustainability measures in the supply chain. Social sustainability in the supply chain has received growing attention in the recent years, due to growing awareness on equity, health and safety, education, child and bonded labor and ethical practices in corporates. Design/methodology/approach – Various enablers and their contextual relationships were identified. The enablers were classified based on dependence and driving power (DP) with the help of MICMAC analysis. In addition to this, a structural model of the enablers to the social sustainability problem has been put forward using the interpretive structural modeling technique. Findings – In this study, 14 relevant enablers were identified from literature review and subsequent discussions with experts from academia and the industry. Competitive pressure leads at the bottom of the digraph with high DP, followed by customers ' requirements, financial liquidity and social concern. Social sustainability awareness was found to be at the last level with less DP. Research limitations/implications – Enablers were developed based on literature survey and expert opinions. Hence, the model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on social sustainability practices in the supply chain. Practical implications – The development of a hierarchy not only helps the supply chain managers to understand the enablers better, based on their importance, but also helps in decision making in the supply chain, which in turn enables the corporations to be competitive. Social implications – Findings of this article will help the corporations to be more socially sustainable by understanding the various enablers and their contextual relationships in the supply chain. Originality/value – The structured social sustainability model helps supply chain managers and experts to understand interdependence of the enablers. This also helps in identifying different enablers with different degree of importance, which will be very much useful in adopting social sustainability measures in the supply chain.

Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kirti Nayal ◽  
Rakesh D. Raut ◽  
Maciel M. Queiroz ◽  
Vinay Surendra Yadav ◽  
Balkrishna E. Narkhede
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Service Providers ◽  
Hybrid Approach ◽  
Security And Privacy ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
State Regulations ◽  
Network Process ◽  
Fuzzy Micmac

PurposeThis article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply chain (ASC) in the Indian context.Design/methodology/approach20 critical challenges were modeled based on a comprehensive literature review and consultation with experts. The hybrid approach of “Delphi interpretive structural modeling (ISM)-Fuzzy Matrice d' Impacts Croises Multiplication Applique'e à un Classement (MICMAC) − analytical network process (ANP)” was used.FindingsThe study's outcome indicates that “lack of central and state regulations and rules” and “lack of data security and privacy” are the crucial challenges of AI-ML implementation in the ASC. Furthermore, AI-ML in the ASC is a powerful enabler of accurate prediction to minimize uncertainties.Research limitations/implicationsThis study will help stakeholders, policymakers, government and service providers understand and formulate appropriate strategies to enhance AI-ML implementation in ASCs. Also, it provides valuable insights into the COVID-19 impacts from an ASC perspective. Besides, as the study was conducted in India, decision-makers and practitioners from other geographies and economies must extrapolate the results with due care.Originality/valueThis study is one of the first that investigates the potential of AI-ML in the ASC during COVID-19 by employing a hybrid approach using Delphi-ISM-Fuzzy-MICMAC-ANP.

Modeling the barriers toward the growth of higher education institutions

2020 ◽  
Vol 20 (2) ◽  
pp. 243-264
Author(s):  
Faisal Talib ◽  
Zillur Rahman
Keyword(s):  
Higher Education ◽  
Structural Model ◽  
Higher Education Institutions ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Climate Change Research ◽  
Content Type ◽  
Micmac Analysis ◽  
Top Managers ◽  
World Class

PurposeIn recent years, sustainable issues have gained increasing importance in the higher education sector across the country. To remain competitive, higher education institutions (HEIs) have to engage themselves in providing world-class opportunities for higher education and research so that the beneficiaries may not be at a disadvantage in the international level. However, many HEIs still encounter barriers that can affect their growth. The purpose of this study is to identify and interpret the most significant barriers affecting the growth of HEIs in India and understand the mutual interactions and interdependence among them.Design/methodology/approachIn this study, 12 barriers affecting the growth of HEIs in India were identified and sorted by literature review, and these were validated through discussion with experts. Contextual relationships were drawn between them during brainstorming sessions. A hierarchical, seven-level structural model of these barriers affecting the growth of HEIs was developed by utilizing the total interpretive structural modeling (TISM) approach.FindingsThe results of this study showed “lack of climate change research” as the topmost outcome of the model having the highest dependence and lowest driving power. “Facilitator domination over academic experts” occupied the bottom-level input, compared to other barriers of the model, with highest driving power and lowest dependence. Further, Matrice d'Impacts Croisés – Multiplication Appliquée à un Classement (MICMAC) analysis was also performed to categorize the identified barriers for better understanding. Under MICMAC analysis, five barriers were categorized as driver barriers, four barriers as dependent barriers and the rest as linkage barriers, while none as autonomous. A TISM-based model that partitioned the barriers into different levels was developed, showcasing direct and important transitive relations.Practical implicationsThe TISM-based model developed in this study may provide a more realistic approach to the problems faced by decision-makers, academicians and top managers in the growth of HEIs in India. Thus, it will provide a roadmap to focus on the most influential barriers and reduce or eliminate them.Originality/valueThe present study identified major barriers that when dealt with can help overcome the effect of other barriers preventing the growth of HEIs in India. It also introduces a model to identify and manage the barriers by understanding the effectiveness of each barrier and minimizing the overall effect in Indian HEIs. Moreover, the analysis of interdependence and interactions studied among these barriers may also help decision-makers, academicians and top managers to find deeper insights, prioritize and rectify them, to re-establish the growth of HEIs and gain a competitive advantage.

Barriers to adoption of reverse logistics: a case of construction, real estate, infrastructure and project (CRIP) sectors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudhir Ambekar ◽  
Dipayan Roy ◽  
Amit Hiray ◽  
Anand Prakash ◽  
Vishal Singh Patyal
Keyword(s):  
Real Estate ◽  
Reverse Logistics ◽  
Delphi Study ◽  
Structural Model ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Organizational Policies ◽  
Technology System ◽  
Inadequate Information ◽  
Scarcity Of Resources

PurposeThis study attempts to identify and analyse the barriers to implementing a reverse logistics (RL) system in Indian Construction, Real estate, Infrastructure and Project (CRIP) sectors and present a structured model to identify interdependencies among them.Design/methodology/approachThe barriers to implementing RL in CRIP sectors in India were identified using a Delphi study. The interdependencies were identified using Interpretive Structural Modeling (ISM). Further, using the Matriced' Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis, the barriers were classified on the basis of their driving power and interdependencies.FindingsThe study has identified ten barriers that can hamper the application of an RL system in CRIP sectors. The finding of the ISM model shows that macro level barriers such as lack of awareness of reverse logistics, insufficient government policies and unavailability of standard codes stimulate each other and also drive all other barriers. The organization-specific barriers operating at the strategic/tactical level, namely, company's rigid mechanism, lack of awareness of economic profits, inadequate company’s organizational policies and lack of training, reluctance from stakeholders, scarcity of resources and finance from company are found at the intermediate level of hierarchy and they can be influenced by the barriers at the lower level and influence the barriers on the and higher levels. The operational level barrier namely “Inadequate Information Technology system” is at the top of the hierarchy and can be driven by all the barriers at the lower level.Research limitations/implicationsThe present findings are based on the opinions of experts only from Indian CRIP sectors so the results may require to be validated in other contexts.Practical implicationsThe structural model presenting the interdependencies will be a guide for the CRIP supply chain professionals in understanding and ranking the barriers they may face while implementing the RL system.Originality/valueThe study contributes to the existing literature by providing a set of barriers and their interdependencies faced during the implementation of an RL system implementation in CRIP sectors. It is one of the first studies which identifies barriers applicable to the CRIP firms in India and models their inter-dependencies. Additionally Consequently, these firms can make a move forward towards a circular economy by overcoming these interlinked barriers.

Survey of graduate supply chain courses: content, coverage and gaps

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heather Lutz ◽  
Laura Birou ◽  
Joe Walden
Keyword(s):  
Higher Education ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Large Scale ◽  
Gap Analysis ◽  
Data Gathering ◽  
Graduate Courses ◽  
Chain Management ◽  
Content Type ◽  
Course Content

PurposeThis paper aims to provide the results of a survey of courses dedicated to the field of supply chain management in higher education. This research is unique because it represents the first large-scale study of graduate supply chain management courses taught at universities globally. Design/methodology/approachContent analysis was performed on each syllabus to identify the actual course content: requirements, pedagogy and content emphasis. This aggregated information was used to compare historical research findings in this area, with the current skills identified as important for career success. This data provides input for a gap analysis between offerings in higher education and those needs identified by practitioners. FindingsData gathering efforts yielded a sample of 112 graduate courses representing 61 schools across the world. The aggregate number of topics covered in graduate courses totaled 114. The primary evaluation techniques include exams, projects and homework. Details regarding content and assessment techniques are provided along with a gap analysis between the supply chain management course content and the needs identified by APICS Supply Chain Manager Competency Model (2014). Originality/valueThe goal is to use this data as a means of continuous improvement in the quality and value of the educational experience on a longitudinal basis. The findings are designed to foster information sharing and provide data for benchmarking efforts in the development of supply chain management courses and curricula in academia, as well as training, development and recruitment efforts by professionals in the field of supply chain management.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

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