Bhavesh Bhatnagar and Vijaya Dixit
Industry 4.0 (I4.0) technologies are pivotal in enhancing supply chain resilience (SCRES). The extant literature identifies multiple antecedents of SCRES. However, the holistic…
Abstract
Purpose
Industry 4.0 (I4.0) technologies are pivotal in enhancing supply chain resilience (SCRES). The extant literature identifies multiple antecedents of SCRES. However, the holistic impact of I4.0 technologies on all the antecedents of SCRES has not been rigorously studied. Practising managers have a limited understanding of the interrelationship of these technologies and their impact on each SCRES antecedent and its subfactors. This highlights the need for a comprehensive technology roadmap that integrates I4.0 technologies with SCRES antecedents and subfactors, benefiting both the pre- and post-disruption phases.
Design/methodology/approach
Interpretive structural modelling is used to develop the hierarchical structure of technologies based on their interrelationship. ANP-SVNTOPSIS (Analytic Network Process – Single Valued Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution) approach to quantify technology impact factors (TIFs) value of each technology corresponding to each antecedent of SCRES is applied.
Findings
The result reveals that data-driven technologies and additive manufacturing have the highest impact on SCRES. The detailed analysis of the TIF values identifies high-impacting technologies for each SCRES antecedent and subfactor. The results are used to propose a technology roadmap integrating I4.0 technologies with SCRES antecedents for pre- and post-disruption phases.
Originality/value
The positive impact of I4.0 technologies on SCRES is well established. However, many companies face challenges in their I4.0 implementation projects despite the manifold advantages. To the best of our knowledge, no previous research has conducted such a rigorous analysis at the individual technology level and SCRES antecedents to quantify the multifaceted dimensions of SCRES. The present study addresses this gap. Furthermore, it proposes a technology roadmap which incorporates pre- and post-disruption phases, which is its uniqueness.
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Anjali Shishodia, Vijaya Dixit and Priyanka Verma
The purpose of this paper is to analyze risk profiles of projects based on project characteristics and provide key managerial insights.
Abstract
Purpose
The purpose of this paper is to analyze risk profiles of projects based on project characteristics and provide key managerial insights.
Design/methodology/approach
A total of 37 project cases from engineering and construction (E&C), information system/technology (IS/IT), and new product development (NPD) sectors with detailed information on project characteristics and risks were identified from published literature. An integrated framework was developed to analyze the prominent risk categories associated with novelty, technology, complexity, and pace (NTCP) project characteristics.
Findings
Within-sector analysis revealed that schedule, resource, and scope risks are the most prominent risk categories in E&C, IS/IT, and NPD projects, respectively. Similarly, interesting key insights have been drawn from detailed cross-sector analysis, depicting different risk categories based on NTCP project characteristics.
Research limitations/implications
The findings are based on the case studies adopted from the literature that provides details of project characteristics and risk profiles.
Practical implications
Depending upon the risks associated with different project characteristics, an integrated framework developed in the study can be used for the development of highly authentic risk management plans at the onset.
Originality/value
This is one of the earliest studies to provide an integrated risk framework for projects based on their NTCP characteristics. The two contrasting perspectives of within-sector and cross-sector analyses were adopted. Overall, the study will enhance the future preparedness toward risks.
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Vijaya Dixit, Rajiv Kumar Srivastava and Atanu Chaudhuri
This work aims at integrating materials management with project management in the context of manufacturing of complex products which require a variety of items. To achieve this…
Abstract
Purpose
This work aims at integrating materials management with project management in the context of manufacturing of complex products which require a variety of items. To achieve this, we propose two prioritization measures of items: material criticality (MC) at activity level and overall criticality (OC) at project level by incorporating project network characteristic through activity criticality (AC) values.
Design/methodology/approach
The costs or penalties which determine criticality of items are hidden in nature and are difficult to measure and model mathematically. Hence, Fuzzy Inference System (FIS), which captures experts’ tacit knowledge in the form of linguistic If‐Then rules has been used.
Findings
OC obtained can be used as a measure to prioritize items for procurement aligned with on‐site build strategy and as a surrogate measure of shortage cost coefficient for inventory models. The analyses of output to observe the effect of AC on OC values of items, clearly demonstrate the novelty and importance of incorporating project network characteristics in materials management decision making.
Originality/value
In this work, we are able to leverage managerial tacit knowledge derived through years of experience and convert it into a readily usable quantitative parameter OC for prioritization of items to be procured. For identifying the input parameters for OC, we brought in the new perspective of including project network characteristics to align materials and project management.
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This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case…
Abstract
This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.
Details
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Vijaya Kumar K. and Ravi Kumar Puli
The purpose of this paper is to present the influence of plastic pyrolysis oil blended with gasoline at 10 per cent with and without ethanol additive at 5 per cent in a…
Abstract
Purpose
The purpose of this paper is to present the influence of plastic pyrolysis oil blended with gasoline at 10 per cent with and without ethanol additive at 5 per cent in a three-cylinder petrol engine.
Design/methodology/approach
The engine is running at standard working processes. The result of 10PPO is compared with pure petrol and additive-added blend. The outcomes clears that, the engine performance is reduced by using plastic oil blended with petrol and NOx emission rates are increasing substantially.
Findings
To control the emission rate, ethanol is added, and corresponding performance reveals that brake thermal efficiency is 4.52 per cent increase compared to pure petrol and 7.03 per cent increase compared to without additive blend.
Originality/value
Emissions such as CO and NOx are considerably controlled with additive blend.
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Razeef Mohd, Muheet Ahmed Butt and Majid Zaman Baba
Weather forecasting is the trending topic around the world as it is the way to predict the threats posed by extreme rainfall conditions that lead to damage the human life and…
Abstract
Purpose
Weather forecasting is the trending topic around the world as it is the way to predict the threats posed by extreme rainfall conditions that lead to damage the human life and properties. These issues can be managed only when the occurrence of the worse weather is predicted in advance, and sufficient warnings can be executed in time. Thus, keeping in mind the importance of the rainfall prediction system, the purpose of this paper is to propose an effective rainfall prediction model using the nonlinear auto-regressive with external input (NARX) model.
Design/methodology/approach
The paper proposes a rainfall prediction model using the time-series prediction that is enabled using the NARX model. The time-series prediction ensures the effective prediction of the rainfall in a particular area or the locality based on the rainfall data in the previous term or month or year. The proposed NARX model serves as an adaptive prediction model, for which the rainfall data of the previous period is the input, and the optimal computation is based on the proposed algorithm. The adaptive prediction using the proposed algorithm is exhibited in the NARX, and the proposed algorithm is developed based on the Grey Wolf Optimization and the Levenberg–Marqueret (LM) algorithm. The proposed algorithm inherits the advantages of both the algorithms with better computational time and accuracy.
Findings
The analysis using two databases enables the better understanding of the proposed rainfall detection methods and proves the effectiveness of the proposed prediction method. The effectiveness of the proposed method is enhanced and the accuracy is found to be better compared with the other existing methods and the mean square error and percentage root mean square difference of the proposed method are found to be around 0.0093 and 0.207.
Originality/value
The rainfall prediction is enabled adaptively using the proposed Grey Wolf Levenberg–Marquardt (GWLM)-based NARX, wherein an algorithm, named GWLM, is proposed by the integration of Grey Wolf Optimizer and LM algorithm.
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Atheer Abdullah Mohammed, Abdul Hafeez Baig and Raj Gururajan
The key objective of the study is to understand the best processes that are currently used in managing talent in Australian higher education (AHE) and design a quantitative…
Abstract
Purpose
The key objective of the study is to understand the best processes that are currently used in managing talent in Australian higher education (AHE) and design a quantitative measurement of talent management processes (TMPs) for the higher education (HE) sector.
Design/methodology/approach
The three qualitative multi-method studies that are commonly used in empirical studies, namely, brainstorming, focus group discussions and semi-structured individual interviews were considered. Twenty-three individuals from six Australian universities participated in this study.
Findings
The qualitative study explored three key themes and ten subthemes of TMPs that are used in AHE. These were: (1) talent attraction, (2) talent development and (3) talent retention.
Research limitations/implications
This study only targeted one country (Australia) and one sector (HE).
Practical implications
This study offers three major contributions as follows: theoretical, practical and policy aspects. Theoretically, the study provides a value-add to Talent Management (TM) theory through designing a guide (conceptual model) of TMPs for the HE sector. Practically, it collects original qualitative data regarding TM in the HE domain. From a policy point of view, this study adds more debate around adding new ideas to Australian education strategic plans for HE.
Originality/value
This study has a unique methodology because of strengthening the effect of an in-depth case study. For instance, two different techniques were used for data analysis for the same research objective as follows: (1) both manual methods and content analysis software (NVivo 11) and (2) the three-stage approach. Using these techniques for the same purpose in one study can provide greater flexibility to examine the relationship between theory and data.
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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Vasanthi Suresh and Lata Dyaram
Despite increased attention towards workplace disability in global and local development agenda, mainstream inclusion of persons with disability continues to be a challenge for…
Abstract
Purpose
Despite increased attention towards workplace disability in global and local development agenda, mainstream inclusion of persons with disability continues to be a challenge for most organizations. This paper aims to explore how organizations can be facilitated for adapting to the need and responsibility for change, towards evolving into disability inclusive workplaces.
Design/methodology/approach
This paper uses an inter-domain approach by linking organization change and development models to Indian indigenous disability management literature.
Findings
This review indicates that in comparison with the other dimensions of diversity, disability brings unique challenges that need a differentiated management approach. Further, it finds a strong base for organizations to approach disability management as a strategic and transformative change initiative, aligning with some of the proven change and organization development (OD) interventions.
Research limitations/implications
This paper draws implications for disability management and highlights the need for a practice perspective towards disability management and OD.
Originality/value
This paper provides an integrated view of critical factors influencing workplace disability management and OD.
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– This paper aims to study the structural, electrical and microwave properties of (Sr0.6Ca0.4) (CoyMn1−y) O3 (0.2 ≤ y ≤ 1.0) thick-film ceramics.
Abstract
Purpose
This paper aims to study the structural, electrical and microwave properties of (Sr0.6Ca0.4) (CoyMn1−y) O3 (0.2 ≤ y ≤ 1.0) thick-film ceramics.
Design/methodology/approach
The thick films of (Sr0.6Ca0.4) (CoyMn1−y) O3 (0.2 ≤ y ≤ 1.0) on the alumina substrate have been delineated using screen printing technique. The structural analysis was carried out using an X-ray diffraction method and scanning electron microscopy. The direct current (DC) electrical resistivity is measured using a two-probe method. Microwave absorption was studied in the 8-18 GHz frequency range by using the Waveguide Reflectometer Method. The permittivity and permeability in the 8-18 GHz frequency range were measured by using Voltage Standing Wave Ratio slotted section method.
Findings
The thick films have orthorhombic perovskite structure with dominant (020) plane. By using first-principle calculation method, theoretical and experimental lattice parameter and cell volume of (Sr0.6Ca0.4) (CoyMn1−y) O3 are matched with each other. The cobalt content changes the morphology from plates to needles. The DC electrical resistivity increases with increase in Co content and decreases with increase in temperature. (Sr0.6Ca0.4) (CoyMn1−y) O3 thick film shows 75 per cent microwave absorption both in the X band and Ku band. The microwave permittivity and permeability decreases with increase in frequency and Co content.
Originality/value
Structural, electrical and microwave properties of (Sr0.6Ca0.4) (CoyMn1−y) O3 (0.2 ≤ y ≤ 1.0). Thick film ceramics on alumina substrate is reported for the first time.