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The study presents various barriers to adopt big data analytics (BDA) for sustainable manufacturing operations (SMOs) post-coronavirus disease (COVID-19) pandemics. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the graph theory matrix approach (GTMA) is applied.

The study presents various barriers to adopt BDA for the SMOs post-COVID-19 pandemic. In this study, 17 barriers are identified through extensive literature review and experts’ opinions for investing in BDA implementation. A questionnaire-based survey is conducted to collect responses from experts. The identified barriers are grouped into three categories with the help of factor analysis. These are organizational barriers, data management barriers and human barriers. For the quantification of barriers, the GTMA is applied.

The study identifies barriers to investment in BDA implementation. It categorizes the barriers based on factor analysis and computes the intensity for each category of a barrier for BDA investment for SMOs. It is observed that the organizational barriers have the highest intensity whereas the human barriers have the smallest intensity.

This study may help organizations to take strategic decisions for investing in BDA applications for achieving one of the sustainable development goals. Organizations should prioritize their efforts first to counter the barriers under the category of organizational barriers followed by barriers in data management and human barriers.

The novelty of this paper is that barriers to BDA investment for SMOs in the context of Indian manufacturing organizations have been analyzed. The findings of the study will assist the professionals and practitioners in formulating policies based on the actual nature and intensity of the barriers.

This paper develops the argument for analyzing negotiations from an institutional perspective. A major theme of the argument being advanced in this paper is that the institutional perspective provides a more comprehensive understanding of the negotiation process in its entirety. The negotiation process can be broken down into three distinct components, namely (a) the pre‐negotiation phase; (b) the negotiating phase; and (c) the post negotiation evaluation. Each of these phases is critically influenced by a specific component or components of the institutional environment. Scott's distinction between the regulative, the normative, and the cognitive dimension of the institutional environment is drawn upon to illustrate the usefulness of this perspective. The framework is applied to assess the similarities and differences between Indian and Chinese institutional environments and their implications for negotiating processes in the countries discussed. Choosing India and China to illustrate the utility of this framework is justified by the fact that India and China are both in the process of transforming their economies, and although confronted with similar challenges, they have dealt with them in very different ways. This comparison is thus useful, not only for illustrating the value of the institutional perspective, but also for understanding the dynamics of the negotiation process in these countries.

This SWOT (strengths, weaknesses, opportunities and threats) analysis was conducted to have a portrait of the competitiveness of Council of Scientific and Industrial Research (CSIR) on the global map. Being a 75-year-old scientific organization, CSIR has raised each and every laboratory with a specific mandate and competency. It is definite that the organization would get some assistance from these points, which are briefly stated, as the institutional data reside with the laboratory only. To some extent, they can be considered on their discretion; however, the organization has raised its position to international standards, but still it can consider few areas/suggestions from this analysis. These points are suggestive and flexible in nature, which are identified and defined to elevate this organization on the globe. Scientific publications do make a difference, but on the ground, if the technologies are not viable and received by public, it makes no difference. Today, India is fortunate to have a Prime Minister like Mr Modi, who always re-evaluates the issues and solutions so that the country moves from developing to a fast-pace developed nation. It is a fact that if these research organizations reorganize themselves and prioritize the research problems, they are capable enough to become a pioneer among the world R&D industry. This paper aims to analyze the organization and suggest few points with significant findings which can assist in scaling toward excellence on a global scale.

On the basis of random sampling, laboratories were identified where their achievements and contribution toward industry and society were evaluated. On the basis of their setup, the organization and laboratories were evaluated to frame-out a SWOT analysis.

SWOT analysis is a deliberate technique carried out to analyze the current situation of the system and to analyze the internal and external environment, which provides and edge to the organization to sustain. The major factors assessed were manpower, machines, money and funding, and achievements and deliverables were studied.

The research, i.e. SWOT, is unique in nature, as it was not carried out earlier on such a scale. To some extent, the points suggested in SWOT and conclusion can be considered on their discretion; however, the organization has raised its position to international standards, but still it can consider few areas/suggestions from this analysis. These points are suggestive and flexible in nature, which are identified and defined to elevate this organization on the globe. Scientific publications do make a difference, but on the ground; if the technologies are not viable and received by public, it makes no difference. Today, India is fortunate to have a Prime Minister like Mr Modi, who always re-evaluates the issues and solutions so that the country moves from developing to a fast-pace developed nation. It is a fact that if these research organizations reorganize themselves and prioritize the research problems, they are capable enough to become a pioneer among the world R&D industry.

This paper seeks to address the production control problem of a failure‐prone manufacturing system producing a random fraction of defective items.

A fluid model with perfectly mixed good and defective parts has been proposed. This approach combines the descriptive capacities of continuous/discrete event simulation models with analytical models, experimental design, and regression analysis. The main objective of the paper is to extend the Bielecki and Kumar theory, appearing under the title “Optimality of zero‐inventory policies for unreliable manufacturing systems”, under which the machine considered produced only good quality items, to the case where the items produced are systematically a mixture of good as well as defective items.

The paper first shows that for constant demand rates and exponential failure and repair time distributions of the machine, the Bielecki‐Kumar theory, adequately revisited, provides new and coherent results. For the more complex situation where the machine exhibits non‐exponential failure and repair time distributions, a simulation‐based approach is then considered. The usefulness of the proposed models is illustrated through numerical examples and sensitivity analysis.

Although the decisions taken in response to demands for productivity have a direct impact on product quality, management quality and production management have been traditionally treated as independent research fields. In response to this need, this paper is considered as a preliminary work in the intersection between quality control and production control issues.

The purpose of this paper is to investigate propagation characteristics of seismic waves at the welded interface of an elastic solid and unsaturated poro-thermoelastic solid.

A theoretical formulation of partially saturated poro-thermoelastic solid is used in this study established by Zhou et al. (2019). The incidence of two primary waves (P and SV) is taken. The incident wave from the elastic solid induces two reflected waves and five refracted waves. Due to viscous pore fluids, partially saturated poro-thermoelastic solid behave dissipative, whereas elastic solid behaves non-dissipative. As a result, both reflected and incident waves are homogeneous. However, all the refracted waves are inhomogeneous. A non-singular system of linear equations is formed by the coefficients of reflection and refraction for a specified incident wave. The energy shares of various reflected and refracted waves are determined by using these reflection and refraction factors. Finally, a sensitivity analysis is performed, and the effect of critical variables on energy partitioning at the interface is observed. The numerical example shows that throughout the process of reflection/refraction, the energy of incidence is conserved at all angles of incidences.

This study demonstrated two refracted (homogeneous) and five refracted (inhomogeneous) waves due to the incident wave from elastic solid. The reflection and refraction coefficients and partitioning of incident energy are acquired as a part of diverse physical parameters of the partially saturated poro-thermoelastic media. The interference energies between unlike pairs of refracted waves have been discovered due to the dissipative behavior of unsaturated poro-thermoelastic solid.

The sensitivity of different energy shares to various aspects of the considered model is graphically analyzed for a specific numerical model. The energy balance is maintained by combining interaction energy and bulk wave energy shares.

This paper aims to study the energy ratios of plane waves on an imperfect interface of elastic half-space (EHS) and orthotropic piezothermoelastic half-space (OPHS).

The dual-phase lag (DPL) theory with memory-dependent derivatives is employed to study the variation of energy ratios at the imperfect interface.

A plane longitudinal wave (P) or transversal wave (SV) propagates through EHS and strikes at the interface. As a result, two waves are reflected, and four waves are transmitted, as shown in Figure 2. The amplitude ratios are determined by imperfect boundaries having normal stiffness and transverse stiffness. The variation of energy ratios is computed numerically for a particular model of graphite (EHS)/cadmium selenide (OPHS) and depicted graphically against the angle of incidence to consider the effect of stiffness parameters, memory and kernel functions.

The energy distribution of incident P or SV waves among various reflected and transmitted waves, as well as the interaction of waves for imperfect interface (IIF), normal stiffness interface (NSIF), transverse stiffness interface (TSIF), and welded contact interface (WCIF), are important factors to consider when studying seismic wave behavior.

The present model may be used in various disciplines, such as high-energy particle physics, earthquake engineering, nuclear fusion, aeronautics, soil dynamics and other areas where memory-dependent derivative and phase delays are significant.

In a variety of technical and geophysical scenarios, wave propagation in an elastic/piezothermoelastic medium with varying magnetic fields, initial stress, temperature, porosity, etc., gives important information regarding the presence of new and modified waves.

This paper aims to study the energy ratios of plane waves on an interface of nonlocal thermoelastic halfspace (NTS) and nonlocal orthotropic piezothermoelastic half-space (NOPS).

The memory-dependent derivatives (MDDs) approach with a hyperbolic two-temperature (HTT), three-phase lag theory is used here to study how the energy ratios change at the interface with the angle of incidence.

Plane waves that travel through NTS and hit the interface as a longitudinal wave, a thermal wave, or a transversal wave send four waves into the NOPS medium and three waves back into the NTS medium. The amplitude ratios of the different waves that are reflected and transmitted are used to calculate the energy ratios of the waves. It is observed that these ratios are affected by the HTT, nonlocal and MDD parameters.

The energy ratios correspond to four distinct models; nonlocal HTT with memory, nonlocal HTT without memory, local HTT with memory and nonlocal classical-two-temperature with memory concerning the angle of incidence from 0 degree to 90 degree.

This model applies to several fields, including earthquake engineering, soil dynamics, high-energy particle physics, nuclear fusion, aeronautics and other fields where nonlocality, MDD and conductive temperature play an important role.

The authors produced the submitted document entirely on their initiative, with equal contributions from all of them.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

Currently, digital technology has been proposed as a new archetype for developing an effective traceability system in the perishable food supply chain (FSC). Implementation of such a system needs significant investment and the burden lies with the members of the supply chain. The purpose of this paper is to examine the impact on the profit of the supply chain members due to the implementation of an effective traceability system with such a large investment. The study also tries to explore the impact of the implementation of such a system by coordination among the members through a cost-sharing mechanism.

A two-level supply chain that comprises a supplier and retailer is analyzed using a game-theoretic approach. The mathematical models are developed considering the scenario for an individual, centralized and both members invest using a cost-sharing mechanism. For each of the models, the impact of product selling price, information sensing price and quality improvement level on profit is analyzed through numerical analysis.

The study reveals that consumer involvement can be a strong motivation for the supply chain members to initiate investment in the traceability system. Further, from an investment perspective cost-sharing model is beneficial compared to the individual investment-bearing model. This mechanism can coordinate as well as benefit the FSC members. However, the model is less beneficial to the centralized model from profit and quality improvement levels.

Food wastage can be less from supplier and retailer perspectives. Moreover, consumers can purchase food items only after verifying their shipping conditions. Consequently the food safety scandals can be reduced remarkably.

Digital technology adoption in the perishable FSC is still considered emerging. The present study helps organizations to implement a traceability system in the perishable FSC through consumer involvement and a cost-sharing mechanism.

The “war for talent” is not limited to developed economies but has become a common feature in emerging economies such as India. From the sociocultural perspective, India represents one of the oldest cultural heritages with distinct cultural values. The cultural difference may contribute to explain organizational practices toward talent retention. In the present chapter, the authors focus on the institutional, legal, and cultural context and highlight their uniqueness with respect to the Indian context. Within the institutional context, the authors found that prior to liberalization (which happened in 1990s), the Indian business scene was dominated by public firms or a small enclave of private firms. For both types of organization, turnover hardly mattered, and turnover was indeed negligible. Employees saw firms as “employers for life”: in such a context, voluntary turnover was extremely rare. Further, in the early legal context, it was hard for any private firm to “fire” an employee. Therefore, involuntary turnover was close to nil as well. Things began to change post-liberalization when the Indian scene was dominated by an influx of private players. The Indian mind too accepted turnover to be a part of the corporate life. In the present chapter, the authors provide a snapshot of what, why, and how of employee turnover in the Indian context. The authors specifically focus on what motivates employees to remain with the organization or why do they leave the organization. The authors close the chapter with insights relevant to both academicians and practitioners.