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Population ageing is a demographic transition and burdens every country’s health sector. A lack of social security combined with low government health-sector spending has made health-care utilisation difficult among elderly in many developing countries like India. This makes population ageing a global phenomenon for policymakers, researchers and stakeholders to discuss and debate in 21st century. The purpose of this paper is to examine the behavioural determinants of health-care utilisation among elderly population in Punjab.

This study examines health-care utilisation among the elderly population in Punjab. A structured questionnaire was used to collect the data in the state of Punjab, with a multi-stage stratified random sample of 385 respondents. Logit regression was used to analyse the association between several behavioural factors like age, gender, place of residence, source of livelihood, education and frequency of visits with health-care utilisation among elderly aged 60 and above.

This study revealed that gender, age, place of residence, source of livelihood, education and frequency of visits were significant determinants of health-care utilisation among elderly population.

This study directs the need to improve health-care utilisation in a country, reducing inequalities that exist among the elderly population with respect to socio-economic and demographic differences.

Accessibility to a precise tool for healthcare management and self-precaution among diabetic patients is an absolute necessity. This paper aims to develop and validate diabetes-related awareness instrument (DRAI) – an instrument that measures diabetics awareness about risk factors and prevention strategies.

The reliability and validity of the DRAI were tested with a sample of 112 diabetics. The construct validity of the DRAI was measured using exploratory and confirmatory factor analysis. Item discrimination, reliability, usefulness and validity of the items were determined by performing Cronbach's alpha, item difficulty and discrimination index analysis.

The study finds DRAI – a reliable and valid instrument to assess diabetics awareness towards diabetes mellitus, its associated risk factors and prevention strategies. The value of Cronbach's alpha for all three constructs was above the threshold level of 0.70. Under exploratory factor analysis, “Kaiser–Meyer–Olkin” test value of 0.805 exhibits a meritorious sample adequacy and “Bartlet's test of Sphericity” was statistically significant with p = 0.032. Therefore, results of confirmatory factor analysis (CFA) revealed that all fitness indices of the model to be excellent fit.

The present instrument can help to determine whether the individual is susceptible to diabetes, timely prevention and reduction in the incidence of diabetes mellitus.

DRAI is the first of its kind tool to assess the awareness and knowledge about diabetes-related risk factors and prevention strategies in such a demographically diverse population of India.

The purpose of this bibliometric study is to report research output and publications on the social determinants of health and health outcomes. This study condenses numerous studies into a single paper, which not only provides insights into the worldwide growth and advancement of the study field but also establishes a research agenda for the future.

Using the Scopus database, a thorough bibliometric study of the worldwide scientific output on social determinants of health from 2000 to 2021 was conducted. With the assistance of VOS viewer and R-based scientometric software, the worldwide development of research on social determinants of health was analysed through performance analysis and network map visualisation.

This study identified the most influential authors, studies, journals and affiliations in the field of social determinants of health, as well as the most co-cited authors and journals, based on a bibliometric analysis of 1,203 research papers retrieved from the Scopus database during the past two decades (2000–2021). Beginning in 2000 with one publication and ending in 2021, 274 articles were viewed online, relevant to the social determinants of health. From 2014 to 2021, publications continue to grow at an accelerating pace.

To the best of the authors’ knowledge, this is one of the first studies to review the social determinants of health and its outcomes. The findings of the chosen studies represent a novel and important addition to the study of social determinants of health. It offers a comprehensive bibliometric analysis of publications, in addition to the identification of vital research trends.

Neuromarketing is a marketing communication field that applies neuroscience and physiological research tools to study consumer behavior toward stimuli, viz., ads and brands. This study aims to assess research trends in the neuromarketing field on the most influential journals, authorships, countries, citations and co-occurrences. The Scopus database is used to analyze identified articles from 2013 to 2022 and for the eligible research articles, a “systematic methodological review” (SMR) on consumer behavior through neuromarketing approach was done. “Visualization of Science (VOS)” viewer and “Biblioshiny” by R-studio software have been used for mapping the keyword analysis, co-citation analysis and author occurrence analysis. It was further found that of the top 10 academic institutions, the list is dominated by the six Asian institutions. It was further witnessed that journal “Physiology and Behavior” is trending as the most dedicated and emerging journals on neuromarketing and consumer behavior. Asian nations such as Bangladesh, China, India, Indonesia, etc., are turning out to be an emerging collaborators and publishers in this niche area of research, thereby giving tough competition to most developed countries. The findings of the thematic mapping show that neuromarketing is itself a very novel and newest area of study and topics such as “human marketing,” “neuromarketing,” “consumer behavior” and “electroencephalography” are new dimensions that can be looked upon in future.

Coronavirus illness is an irresistible infection instigated by a newfound coronavirus. Social distancing was identified as the most effective preventive measure, and it has shifted the teaching to online mode. The present study explored the various perceptions held by students while attending the classes during COVID-19. Primary data have been obtained for the fulfillment of the objective of the study. The data were analyzed with descriptive and inferential statistics. It was exhibited that students specified that online teaching provides real-world skills followed by financial benefits, active learning, recorded lectures, comfortable, ease of access, safe, flexible timings, interactive, and build self-confidence. However, various challenges in online classes were less interaction, technical issues, network issues, lack of self-discipline, social isolation, family distractions, difficult e-learning tools, etc. Logit regression provided that willingness to attend online classes in post COVID-19 was associated with age, gender, IT skills, prior experience, and location. Application of e-learning posed several challenges and possibilities throughout the entire field of education throughout the pandemic. The study suggested the need to address the various challenges faced by the students on immediate basis. It was recommended that training programs can help to prepare the students to take the benefits of digital education platforms.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

As the areas of fashion marketing are transforming, fashion show research needs to be recognised, to understand its prevalence, changing form and influence on the consumer behaviour. The paper studied the promotion strategies for the brand and products of fashion designers in Bahrain, in particular the fashion shows, its digital versions, and the factors influencing their choice. The study was conducted using the qualitative method and the detailed semi-structured qualitative interview method was employed and sample of designers and a prominent modeling agency were selected by purposive sampling technique. In-depth interviews with designers were structured to understand the fashion industry, participation in fashion shows and preference of mode of fashion show. Interviews were conducted with the modeling agency, to understand the prevalence of fashion shows, and the execution and demand of organising fashion shows. The data gathered were supported by the relevant secondary data and document analysis and presented. In the study both the forms of the fashion show viz., live and digital are discussed and compared. The digital fashion show and similar forms as short films, videos, on social media seem to be more promising, with minimum requirement of set design, wider reach, economic, ease of execution. The research suggests that physical and digital fashion shows have their advantages and disadvantages, with the choice ultimately based on the brand's goals and resources. As technology advances and the fashion industry changes, digital fashion shows are likely to play an increasingly important role in the future.

Knowledge of consumer behavior is important to a corporation's accomplishment. Organizations may change for the better deal with the promotion mix, product administration, and buyer interaction by knowing how the buyer performs and what motivates him. Selecting the influencing elements for consumers is frequently exceedingly challenging to accurately detect because they are inside forces. The COVID-19 pandemic's wide-scale spread has significantly altered peoples' daily lives and purchasing patterns. The Indian government implemented several steps across the nation to limit the fatal disease to slow the spread of COVID-19. Following its initial breakout in China in early 2020, the novel coronavirus pandemic rapidly developed all over the globe, giving an unfavorable influence on the global financial system and industries. During the COVID-19 pandemic, the authors seek to uncover changes in consumer behavior when purchasing everyday items including food, medications, clothing, footwear, and technology. To understand how the current pandemic conditions compare to the aforementioned shock events, we carried out a comprehensive review of the literature with a focus on the presentation of panic buying and pack mentality behavioral patterns and changes to voluntary consumer spending as defined by Maslow's hierarchy of needs.