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The purpose of this paper is to improve the modeling accuracy of the magnetostrictive hysteretic characteristics by introducing hysteresis energy instead of pinning energy in the assembled domain structure model (ADSM).

First, the magnetostrictive characteristics and the domain movement process in an electrical steel sheet are measured and observed. The reasons for the influence of stress on magnetostriction are discussed on the mesoscopic level. Second, the ADSM model using the hysteresis energy is investigated to estimate the influence of external stress. Finally, the simulation results of the modified ADSM model are compared with the experimental data under the same calculation conditions.

The results show that the improved model not only explains the cause of hysteresis clearly from the perspective of the magnetic moment but also improves the modeling ability of magnetostrictive hysteretic.

The magnetostriction in electrical steel lags behind the external magnetic field, and it is significant for reducing core vibration to estimate the magnetostrictive hysteretic property accurately. This paper proposes an effective approach to model the hysteretic characterization of magnetostriction.

This study aims to investigate the online purchase intention of an older-aged group in Kosovo. Very few studies have analyzed the online purchase intention of these age groups in emerging countries including Kosovo, during the COVID-19 pandemic, which led to an increased usage of online shopping among older adults.

The study used a quantitative methodology and a structured questionnaire was used for collecting the data. Structural equation modeling (SEM) using partial least squares (PLS) was used to analyze 262 responses from an older-aged group of consumers from Kosovo.

The findings of this study showed that COVID-19 as a perceived risk affected online purchase intention. In addition, panic from perceived risk, perceived usefulness of social media and delivery in time also positively impacted the online purchase intention of this group of generations.

The study provides theoretical implications to consumer behavior literature during pandemics and how certain age groups behave during their purchase intention. The study also provides insight into other studies in emerging countries to see similarities and differences in online purchase behavior.

Following a crucial COVID-19 pandemic lockdown, the coronavirus has affected every academic institution, particularly libraries and information centres. To address this unprecedented scenario, libraries’ staff has decided to provide their services via digital access while staying close to the users. To predict users’ intention to use digital libraries after COVID-19, the authors combined the technology acceptance model (TAM), the theory of planned behaviour (TPB) and perceived risk.

Data were collected via a paper-based questionnaire using a convenient sampling method which was distributed at two major libraries; Maulana Azad Library, Aligarh Muslim University and Dr Zakir Husain Library, Jamia Millia Islamia in India.

Empirical findings suggested that all the proposed hypotheses were supported, and the integrated model had strong explanation power as the proposed model explained a 74.5% variance in users’ intention to use digital libraries after COVID-19.

This study offers substantial information to librarians, digital libraries, universities, institutes and other stakeholders and sheds light on the potential for a developing nation to transition to an economy with a strong digital infrastructure. The scope of the study is constrained to the users in India only, hence, leading to the possibility that it may be challenging to generalize the findings.

According to the best of the authors’ knowledge, it is one of the few studies to predict users’ intentions for using digital libraries after COVID-19 by applying the integrated model of TPB and TAM in an emerging economy. It helped understand the users’ attitudes towards using the digital services and resources available at the respective libraries. It also contributed considerably to the argument that users have grown accustomed to harnessing digital libraries during the post-COVID-19 period.