Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries

Piya, Sujan; Shamsuzzoha, Ahm; Khadem, Mohammad; Al-Hinai, Nasr

doi:10.1007/s40171-020-00247-5

Cited by 28 publications

(11 citation statements)

References 114 publications

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“…GJFSM has also published works that relate to multiple connotations of flexibility. Some recent contributions are related to agility (Khorasani, 2018 ; Piya et al, 2020 ; Vaishnavi & Suresh, 2020 ); resilience (Kumar & Anbanandam, 2020 ); disruption (Aldrighetti et al, 2019 ); inclusion (Malik et al, 2019 ); emergency management (Ha, 2019 ); ambidexterity (Katic & Agarwal, 2018 ); rapid alignment (Razzak et al, 2018 ); the speed of adjustment (Warmana et al, 2020 ); responsiveness (Singla & Singh, 2018 ); super-flexibility (Evans & Bahrami, 2020 ), and so on. The application areas are also becoming more integrative such as sustainability, Industry 4.0, big data analytics, health care, competitiveness, disaster management, COVID-19, and many more emerging areas related to flexibility.…”

Section: Comparative Standing Of Journals In Different Flexibility Areasmentioning

confidence: 99%

The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis

Singh

Dhir

Evans

et al. 2021

Glob J Flex Syst Manag

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In the year 2020, the Global Journal of Flexible Systems Management (GJFSM) has celebrated its two decades of publication. This study is an attempt to commemorate the two decades of publication by presenting the overview of the GJFSM along with the trajectory of flexibility research in various journals. By using multiple bibliometric tools and indicators, the study finds that the GJFSM has grown over the years in terms of total publications and citations. The contributors are from across the globe, i.e., South America, North America, Asia, Europe, Africa, and the Pacific. The Journal publishes several flexibility areas, including information systems flexibility, financial flexibility, supply chain flexibility, technology management flexibility, marketing flexibility, organizational flexibility, strategic flexibility, and manufacturing flexibility. The GJFSM is cited by authors from various countries across the globe. It has been cited across different Scopus categorizations, including “Strategy and Management,” “Business and International Management,” “General Business, Management and Accounting,” “Industrial and Manufacturing Engineering,” and “Management Science and Operations Research.” Keyword co-occurrences analysis helps to analyze the various groups of keywords cited together in the GJFSM . Co-citation analysis of references helps to identify crucial clusters of GJFSM, i.e., strategic flexibility, manufacturing flexibility, the conceptual framework of flexibility, supply chain flexibility, modeling flexibility, and application of TISM. Overall, GJFSM has seen an increase in both publications and citations, reflecting its increasing presence among the journals publishing flexibility research. The diversity of flexibility research and its contributions to research under-one-roof make this Journal unique. The paper concludes with the gap areas of flexibility research and the way forward.

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Section: Comparative Standing Of Journals In Different Flexibility Areasmentioning

confidence: 99%

The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis

Singh

Dhir

Evans

et al. 2021

Glob J Flex Syst Manag

View full text Add to dashboard Cite

show abstract

“…Each of the approaches has its own benefit and limitations. Many kinds of literature have even integrated more than one approach together for the purpose of ranking in various research domains (Piya et al, 2020a(Piya et al, , 2020b. The suitability of a specific approach or its integrated form for the ranking of projects may depend on the characteristic of the project.…”

Section: Discussionmentioning

confidence: 99%

“…2.1.5 Management decisions. Management commitment, support and decision are crucial for the successful implementation of the project (Piya et al, 2020a(Piya et al, , 2020b. A project can be complex or simple based on the management decision.…”

Section: Factors Affecting the Project Complexitymentioning

confidence: 99%

Application of fuzzy TOPSIS framework for selecting complex project in a case company

Shamsuzzoha

Piya

Shamsuzzaman

2021

JGOSS

Self Cite

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Purpose This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions. Design/methodology/approach The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations. Findings A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works. Research limitations/implications The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity. Originality/value The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.

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“…There is a huge demand for establishing technology and research center for the world in India (Jain, 2019). To develop the global supply capabilities for the upcoming car market, manufacturers are looking for suppliers that have a network in the global supply chain (Maloni and Benton, 2000; Boehmke and Hazen, 2017; Piya et al , 2020). A local supplier is always in demand, but may not be feasible due to various factors such as lack of global capabilities (Contreras et al , 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM

Meena

Dhir

Sushil

2020

IJPPM

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PurposeThis study aims to identify and prioritize various growth-accelerating factors in the Indian automotive industry. It further develops a hierarchical model to examine the mutual interactions between the factors, their dependence and their driving power.Design/methodology/approachThis study first identifies the growth-accelerating factors and then uses the modified total interpretive structural modeling (m-TISM) framework, which is an extended version of TISM. It further uses MICMAC analysis to analyze the mutual interrelation between the identified factors.FindingsThis study highlights the interrelation amongst the factors using m-TISM model. A hierarchical model shows the level of autonomous, dependence, linkage and independent factors considering the Indian automotive industry. This study also provides the understanding related to the interdependence of growth-accelerating factors.Research limitations/implicationsThe government and practitioners could evaluate the growth-accelerating factors which have higher driving power for implementing efficient policies and strategy formulation. By implementing m-TISM model in the Indian automotive industry, auto manufacturers can become more productive and profitable. Future studies could use other methods such as expert opinion to derive the factors, and further model could be verified using structural equation modeling technique.Originality/valueThis study uses a novel m-TISM framework for the analysis of growth-accelerating factors in the context of the Indian automotive industry. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched growth-accelerating factors.

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Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries

Cited by 28 publications

References 114 publications

The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis

The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis

Application of fuzzy TOPSIS framework for selecting complex project in a case company

An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM

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