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The purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD).

We estimate the SSR parameter R = P(X > Y) of the IPD under the minimum risk and bounded risk point estimation problems, where X and Y are strength and stress variables, respectively. The total loss function considered is a combination of estimation error (squared error) and cost, utilizing which we minimize the associated risk in order to estimate the reliability parameter. As no fixed-sample technique can be used to solve the proposed point estimation problems, we propose some “cost and time efficient” adaptive sampling techniques (two-stage and purely sequential sampling methods) to tackle them.

We state important results based on the proposed sampling methodologies. These include estimations of the expected sample size, standard deviation (SD) and mean square error (MSE) of the terminal estimator of reliability parameters. The theoretical values of reliability parameters and the associated sample size and risk functions are well supported by exhaustive simulation analyses. The applicability of our suggested methodology is further corroborated by a real dataset based on insurance claims.

This study will be useful for scenarios where various logistical concerns are involved in the reliability analysis. The methodologies proposed in this study can reduce the number of sampling operations substantially and save time and cost to a great extent.

This study aims to examine the challenges posed by COVID-19 restrictions for audit processes in India and explore the perceptions of the profession on how technology was leveraged to conduct audits during this period. The opinions of auditors on future changes in post-COVID-19 audit practices and processes are also explored.

Semi-structured interviews were conducted with senior auditors working in various audit firms in major business centers in India and subjected to content and thematic analysis using the institutional theory perspective.

The auditing profession used technology to respond to COVID-19-imposed disruptions of established audit process and practices while maintaining the legitimacy of audit reports. The findings indicate that auditors now seem to strongly support the integration of emerging technologies into their auditing practices post-COVID to ensure data accuracy and transparency. The interviewees displayed keen interest in continuing remote and in-person audits to maintain audit quality in the future. The experience of COVID-19 appears to have forced the auditing profession to overcome their reluctance to adopt technologies that were previously used by only Big 4 and large audit companies.

The results will be of particular interest to various stakeholders concerned with aspects of the acceptance of technology-assisted audit reports such as legitimacy, required infrastructure, cost involvement and resistance to change. The findings will also assist professional bodies and policymakers in both developed and developing economies in devising useful strategies to promote technology-aided auditing during and after COVID-19. Limitations posed by inadequate infrastructure and resistance to changes must be overcomed before implementation of technology-aided audits.

As COVID-19 pandemic is a recent phenomenon, to the best of the authors’ knowledge, this study is one of the first few studies that have examined the use of technology to facilitate audits during the COVID-19 period, more specifically from a developing economy perspective.

This study proposes a digital humanitarianism dynamic capability (DHDC) paradigm that explores the direct effects of DHDC on disaster risk reduction (DRR) and the mediating effects of process-oriented dynamic capabilities (PODC) on the relationship between DHDC and DRR.

To validate the proposed model, the authors used an offline survey to gather data from 260 district magistrates in India managing the COVID-19 pandemic.

The results affirm the importance of the DHDC system for DRR. The findings depict that the impact of PODC on DRR in the DHDC system is negligible. This study can help policymakers in planning during emergencies.

Technological innovation has reshaped the way humanitarian organizations (HOs) respond to humanitarian crises. These organizations are able to provide immediate aid to affected communities through digital humanitarianism (DH), which involves significant innovations to match the specific needs of people in real-time through online platforms. Despite the growing need for DH, there is still limited know-how regarding how to leverage such technological concepts into disaster management. Moreover, the impact of DH on DRR is rarely examined.

The present study examines the impact of the dynamic capabilities of HOs on DRR by applying the resource-based view (RBV) and dynamic capability theory (DCT).

This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.

A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.

Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.

The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.

Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.

The purpose of this paper is to present a modified form of trigonometric cubic B-spline (TCB) collocation method to solve nonlinear Fisher’s type equations. Taylor series expansion is used to linearize the nonlinear part of the problem. Five examples are taken for analysis. The obtained results are better than those obtained by some numerical methods as well as exact solutions. It is noted that the modified form of TCB collocation method is an economical and efficient technique to approximate the solution PDEs. The authors also carried out the stability analysis which proves that the method is unconditionally stable.

The authors present a modified form of TCB collocation method to solve nonlinear Fisher’s type equations. Taylor series expansion is used to linearize the nonlinear part of the problem. The authors also carried out the stability analysis.

The authors found that the proposed method results are better than those obtained by some numerical methods as well as exact solutions. It is noted that the modified form of TCB collocation method is an economical and efficient technique to approximate the solution PDEs.

The authors propose a new method, namely, modified form of TCB collocation method. In the authors’ best knowledge, aforesaid method is not proposed by any other author. The authors used this method to solve nonlinear Fisher’s type equations and obtained more accurate results than the results obtained by other methods.

This paper aims to give a brief description of some chemistry portals available worldwide, folowed by a description of the chemistry portal developed for Panjab University Library, Chandigarh (India).

A well‐structured chemistry portal was designed for chemistry and its allied departments at Panjab University based on studies of other chemistry portals worldwide.

All the students, research scholars and faculty members of chemistry and allied subjects are deriving benefit from the use of this portal.

The paper provides information about chemistry portals available worldwide. However, only selected portals are presented. Moreover, the information sources included in the chemistry portal may also not be exhaustive.

The paper would be of help to librarians who plan to develop such portals for other subjects.

The success of the portal has led to a demand from other departments in the university for developing subject portals in their subject areas.

The present study aims to probe into the determinants of mobile wallet adoption by millennials with the assistance of extended technology acceptance model.

The data was collected from the students studying professional courses in leading private universities in the north region of India. Keeping in view of the objective and hypotheses, the Partial Least Square Structural Equation Modeling (PLS -SEM) technique was used to test the proposed model.

The tested model brings into notice the imperative observation, which clearly outlines that there are all significant relationships, which can be observed herein. To explicitly state: perceived ease of use (PEOU) has a significant positive relationship with the perceived usefulness followed by PEOU also shares a significant positive relationship with the behavioral intention, and lastly trust as a variable under study establishes a significant positive relationship with actual use (AU).

Implications for the banking industry are to ensure the safety and privacy (financial information) confidential.

The present study contributes to the literature of mobile wallet in the developing nations.

A poor performance of the cold supply chain (CSC) may increase the loss of quality and potency of perishables and temperature-sensitive products that deteriorate the financial and environmental aspects of the same. The purpose of the current research work is to identify the critical performance factors (criteria) and their co-factors (sub-criteria) that are responsible for the performance measurement of CSC and suggest the best possible solutions (alternatives) to improve the same.

To achieve the objective of the research, a hierarchical model has been developed and analyzed using Analytic Hierarchy Process (AHP)-Fuzzy TOPSIS as a hybrid approach to obtain the severity weights of the identified criteria and prioritization toward their relative importance for the best possible alternatives.

Analysis reveals that the criteria “energy consumption” comes out to be the most critical criteria, and alternative “application of passive cold devices” is the most effective solution for improving the performance of CSC. Higher energy consumption leads to a higher rate of greenhouse gas (GHG) emissions increasing the global warming phenomenon, high operational cost and degradation of natural energy resources. The Application of Passive Cold Devices (PCDs) utilizes solar energy to operate the refrigeration units reducing the energy consumption, environmental and operating cost of CSC.

The research work provides several insights into the critical issues related to the CSC and suggests significant findings that enable the management and decision-makers to adopt these practices for performance evaluation and improvement of the same. The key findings of the work, such as “application of passive cold devices” and “application of IoT in cold chain logistics”, facilitate an improved platform to improve the CSC performance and proposed several directions that will enhance the merit of future research.

The presented study consolidates the various perspectives associated with CSC performance, explores the most critical criteria and proposes the best suitable cold chain practices for organizational growth. The work also provides an analytical analysis with the essence of practicalities and sensitivity analysis to support the robustness of the results. By enriching the literature and quantitative analysis of the new proposed model, this paper forms vast managerial and research implications in the field of CSC.

A collocation technique based on re-defined quintic B-splines over Crank-Nicolson is presented to solve the Fisher's type equation. We take three cases of aforesaid equation. The stability analysis and rate of convergence are also done.

The quintic B-splines are re-defined which are used for space integration. Taylor series expansion is applied for linearization of the nonlinear terms. The discretization of the problem gives up linear system of equations. A Gaussian elimination method is used to solve these systems.

Three examples are taken for analysis. The analysis gives guarantee that the present method provides much better results than previously presented methods in literature. The stability analysis and rate of convergence show that the method is unconditionally stable and quadratic convergent for Fisher's type equation. Moreover, the present method is simple and easy to implement, so it may be considered as an alternative method to solve PDEs.

This work is the original work of authors which is neither published nor submitted anywhere else for publication.

This study aims to discover the key performance indicators (KPIs) of the agricultural cold supply chain (ACSC) and analyze their consequences on the performance of ACSC within the bounds of Indian topography.

The KPIs have been explored based on the literature review both in global and Indian context and domain expert's opinions. The interdependency characteristics and cause–effect relationship among the KPIs have been analyzed using a fuzzy decision-making trial and evaluation laboratory (f-DEMATEL) approach.

The findings extracted from the empirical assessment of the problem find strong compliance with the notions of theoretical model assessment. The results highlight that the cost of product waste and operating and performance costs are the two most important performance indicators of an Indian ACSC. Furthermore, governmental policies and regulations and the effectiveness of cold chain (CC) equipment also have a high degree of influencing characteristics on ACSC performance.

To connect the study with practicalities, the assessment of the KPIs is allied with real-time practices by clustering the beliefs of Indian professionals. Therefore, the decision-making behavior of the experts might be influenced by geographical constraints. However, the key findings provide advantages to the ACSC players, a bright hope for future food security and a significant profit for farmers.

The presented paper encompasses various aspects of the ACSC, including theoretical and empirical perspectives exercised to contemplate the system dynamics, which inculcates the essence of the associated practicalities. Thus, this study has various practical contributions relevant to managerial and societal perspectives.