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The study considers a four-construct model for validating the factors of overall patient satisfaction with medication. This paper aims to study the satisfaction of patients with their medication. Patient satisfaction with medication influences treatment-related behaviors, such as their possibility of continuing to use their medication, to take their medication correctly and to adhere with medication regimens.

treatment satisfaction questionnaire for medication (TSQM) version 1.4 patient satisfaction model has been tested for reliability and validity through confirmatory factor analysis. A structured questionnaire, incorporating variables identified from original TSQM version 1.4 (Atkinson et al., 2005), has been used as a survey instrument for the study. Final respondent sample size was 380 patients who were on medication for a minimum duration of 10 days.

In total, 75 per cent of the willingly participating patients were found to adhere to medication regimen as advised by their physician. Effectiveness, side effects, convenience and global satisfaction were found to be reliable and valid factors for assessing satisfaction with medication among patients in emerging market settings.

The existing studies on measuring patient satisfaction have been majorly confined to developed economies. There is lack of focused research on patient satisfaction and its underlying determinants in the emerging market settings. The present study is an attempt to fill the existing research gap.

Marketing.

Undergraduate and postgraduate management students.

Small scale business in India employ almost 30 million people contributing 50 per cent to industrial and 45 per cent to the total exports of the country. The rapid growth of internet has made it possible for the small scale start ups to reach its existing and potential customers without investing much. The case highlights this fact describing the journey of “Chumbak” a small scale business from an unknown brand to the foremost favourable funky product of India. Through this case the authors have tried to relinquish a synoptic view of how Chumbak has used varied social media platforms, to engage and connect with its customers. A survey of 147 customers of Chumbak customers shows that engagement through Facebook fan page of Chumbak positively impacts its purchase intention, brand image and leads to positive word of mouth.

The case highlights numerous dynamics of social media marketing and shows the recent social media promoting methods being used by the little scale businesses to ascertain on-going dialogues with their customers. The Case would facilitate the scholars in learning how these platforms may be used alone as a promotional tool not solely to reach the purchasers but additionally to type a higher complete awareness of the products with reference to Chumbak. The case explains that communication happening at varied social media platforms got to be tailored considering the sort of users.

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This study investigates the various themes around the demand-driven approach of vocational education and training (VET). The study focuses on investigating two major aspects of VET. Firstly, the extant literature has been systematically classified based on seven parameters: Geography, Focus on Vocational Education, Research Methods, Economic Sector, Origin of Study, Type of Training and Level of Skill. Secondly, this study has explored various themes around the VET implementation, performance gaps and road ahead.

Thematic analysis with the systematic literature review (SLR) method is applied to 50 research papers on VET, published between 2011 and 2022.

This systematic review has found that experiential compliments VET and VET is the medium of skill development. Further, it was extracted through themes that VET may help ensure alternate employment in rural areas and contribute to micro- and macro-level economic development. Also, there is a requirement to adopt a demand-driven approach to VET by localizing VT content and delivery.

The study's findings are directed towards the need for demand-driven and customized VET. This study also explores many potential areas for further empirical research through various themes.

This study is a novel effort that extracts the themes constituting the effect of VETs along with the descriptive analysis of the extant literature using the SLR approach. The study has rationalized the findings by providing due coding to various parameters in the previous studies under investigation.

In today’s world, with increased competition, service quality has become one of the most popular areas of academic investigation. The purpose of this paper is to examine the impact of various service quality variables on the overall satisfaction of customers and compare the private and public sector banks using a sample from India.

With the help of forward stepwise regression, the authors explain how a variety of variables are both negatively and positively influencing customer satisfaction. The authors collected data from 500 respondents in India; 250 of which were customers of private sector banks, and 250 of which were customers of public sector banks. The authors had a response rate of 65 percent.

In the case of private sector banks, knowledge of products, response to need, solving questions, fast service, quick connection to the right person, and efforts to reduce queuing time were found to be the factors that are positively associated with overall satisfaction. Assistance to the customer, appearance, and follow up are negatively associated with customer satisfaction. On the other hand, in the case of public sector banks, knowledge of the product and fast service are the factors which are associated positively and appearance is the only factor that is negatively associated.

The components of service quality that are positively associated are not the same in public sector banks as they are in private sector banks.

The fraud landscape talks about the existence of fraudulent activities and can be assessed with the help of fraud literature. Taking this into consideration, this paper qualitatively revisits the famous fraud triangle theory developed by Donald R. Cressey (1950) which is the most traditional theory to detect a fraud. This paper aims to discuss various fraud models that have been extensions to fraud triangle theory and reviews the factors that drive a corporate fraud. This study is divided into two phases. The first phases discuss the various theories which have been developed to detect and prevent corporate frauds in organisations, and in the second phase the authors recognize “integrity” as a new extension to the basic fraud theory. The integrity model has been introduced as “fraud square” contributing to the development of fraud theory. Integrity plays a very important role in detecting corporate frauds, and this paper will act as a theoretical benchmark for future references. The implication of this study would help future researchers, academicians and practitioners to understand the fourth element of the fraud theory and would help improve the professional standards of organisations and regulators.

This paper revisits the literature in detail and reviews the most acknowledged models to explain “why people commit frauds” – the fraud triangle, fraud scale, the fraud diamond, the ABC model, the MICE model and the SCORE model. The authors contend that the traditional models need to be modernized to acclimate to the current developments in the rapidly increasing fraud incidents, both in occurrence and seriousness. Additionally, this paper builds on theoretical background to generate new model so as to improve the understanding behind the major factors which lead to commitment of frauds.

The authors identify a major element – integrity – in the research. As per ACFE 2020, “There are more than 3.3 billion people in the global workforce, half of them takes illegal use of gains from the organisation and some are discipled with integrity who does not cause any harm to the organisation.” To prevent fraud, integrity plays a very important role in organisations (Bakri et al., 2017). It has been found that individuals with less integrity are basically specified to a greater level of mismanagement. The organisations that have worked with integrity will improve performance at work and will always promote the best employees to work with less supervision.

This paper develops the integrity model to contribute to the development of fraud theory by identifying the key factors that play a major role in whether fraud will actually occur and acting as a theoretical benchmark for all future reference.

The manufacturing industry is presently experiencing technological disruption on a global scale. Consequently, to tackle such disruption, firms are identifying a volatile, uncertain, complex and ambiguous (VUCA) scenario and seeking ways to counter it. Accordingly, this paper aims to investigate the employee performance through assessing organizational citizenship behaviour (OCB) among the shop floor employees of the fast-moving consumer goods (FMCG) industry where a high-performance work system (HPWS) has been implemented.

A descriptive research design was used in the study, and 395 shop floor employees working in leading multinational firms, with a minimum global turnover of US$1bn, were interviewed. These manufacturing firms were located in three industrial clusters in the northern part of India.

The results indicate that HPWS influences OCB. Most of the dimensions of HPWS and OCB were found to be positively associated. The findings also disprove the labour process theory in the context of the study.

The findings report a broad view of the relationship between HPWS and OCB in the Indian manufacturing context. The study offers the practical insights that HPWS is a universally accepted framework and that organizations should focus on the effective implementation of HPWS in a VUCA scenario, which is in line with past studies. The study also provides future directions for research.

This paper has established the relationship between HPWS and OCB in the manufacturing sector, especially for shop floor employees.

Conventionally, consumers perceive luxury products as a means of displaying their wealth and prosperity. Consumption of luxury products has usually been considered the prerogative of the Western world. Although there are a number of studies capturing the pre-purchase and purchase behaviour of consumers, there is a dearth of quality studies that have been conducted in this field to understand the post-purchase behaviour of consumers towards luxury brands, especially in the context of young shoppers in an emerging market context. Studying the post-purchase behaviour of shoppers is important to understand their experience with the brand. A negative experience could lead to a post-purchase dissonance, which in turn could lead to an unbalanced or distorted attitude towards the brand and other marketing stimuli. Keeping this in consideration, the purpose of this study is to explore the experiences and attitudes of young shoppers in India towards luxury consumption.

The study captured responses from young shoppers of Chandigarh and its satellite cities located in the relatively prosperous northwest region of India. The data were collected from 200 participants through a structured questionnaire that was based on an adapted “Attitude towards the concept of luxury” scale by Dubois and Laurent (1994) and “Brand Experience” Scale by Brakus et al. (2009). The structural equation modeling technique was applied to test the proposed model.

The empirical results indicate that sensory, intellectual, behavioural and affective experience play a significant role in building the attitude of consumers towards luxury brands.

The study selected university students from Chandigarh (India) Tricity region as target respondents, which may limit the generalisability of the results to other target respondents in different regions of India or other countries.

The study is useful for researchers, academicians, marketers and retailers of luxury brands, as it gives fresh insights into understanding the consumer behaviour of a young segment towards the consumption of luxury brands in the post-purchase scenario, especially in the context of an emerging market.

The uniqueness of the study lies in the fact that it examines the post-purchase behaviour of a segment consisting of young, educated and aspirational individuals in one of the world’s fastest-growing major economies.

The relationship between medicine and video games is growing tremendously. In the field of medicine, realistic simulation and games have risen in popularity, and in turn, gamification has transformed the game elements into a non-gaming world for human engagement like motivation and performance. It is not surprising that game-based learning has branched out in the realm of the medical world. The person’s psychological state determines the effectiveness of education during training. This study aims to examine how the usage of immersive technology impacts users’ tendency to access immersive resources for learning during an emergency like the COVID-19 pandemic. Augmented reality (AR) apps have grown to be a popular tool in education nowadays. The purpose of using AR applications is to impart knowledge during the COVID-19 pandemic. An investigation was conducted to test the effectiveness of immersive technology in learning by developing a game-based experimental model and testing it on 100 non-randomly selected users of various ages. This study shows that users are open to new teaching approaches, including AR applications, in response to the challenges presented by the pandemic. AR applications provide a potential solution to the difficulties associated with education by providing an immersive and interesting experience that enhances learning-based results. This demonstrates that while using AR apps, an individual’s viewpoints and sense of control over their learning are more essential in influencing their conduct. By integrating AR apps into learning systems, immersive education may enhance users’ engagement, motivation and overall learning experiences.

Convenience sampling was chosen as the method for data analysis. One hundred users from a leading private university in the northwest part of India participated in this study. This gave a minimum sample size of 79 participants. To analyse the user experience (UX), a UX questionnaire was adopted. In this research paper, the researcher explores the importance of immersive games that emphasise awareness and experience through a series of questionnaires to assess the effective awareness of COVID through immersive technology, because the immersive element plays a major role in the quality and success of awareness through COVID-19 fighter video games as an interactive learning platform.

Results showed that most people do not know how to deal with an infected person in a critical situation; either they feel scared or deal without taking precautions. COVID-19 fighters are empowered with a virtual patient, which players can interact with. Once the user finishes the FPS game, he must find out the source of viruses that will be an AR-based virtual patient. The first step of the instruction will ask the user to give the mask to the infected person; in the second step, it will ask the user to sanitise his body. In the third step, it will ask to hospitalise.

The research offers empirical evidence on the effectiveness of augmented reality-based game approaches to increase reality in basic education to boost the awareness of individuals. The report also gives an example of good cross-cutting education materials that provide the player with a very valuable tool for understanding knowledge of covid awareness by playing the COVID-19 fighter game.

Digital technologies emerged as innovative avenues for launching new products, advertising brands, increasing customer awareness and thus leaving a remarkable impact on the online marketplace. The present study analyzed the effects of crucial antecedents of AR interactive technology on customers' behavior toward AR-based e-commerce websites.

Convenience sampling was used to collect primary data from 357 iGen respondents aged 16–22 years; residing in New Delhi and the NCR region of India and examined using the structural equation modeling technique.

Results revealed that technology anxiety and virtuality significantly influence customers' attitudes and behavioral intentions toward AR-based e-commerce websites. However, interactivity and innovativeness remain non-significant. Additionally, non-significant moderating effects were identified for the moderators, i.e. trust and need for touch. At the same time, gender has a significant moderating effect only for the association between technology anxiety and attitude toward AR-based e-commerce websites.

The study summarizes numerous theoretical and managerial implications for AR-based website designers and policymakers, followed by the crucial limitations and directions for future research.

The present research provides a significant understanding of the e-commerce industry by providing valuable insights about young iGen consumers' perceptions of AR-based e-commerce websites.

In online social network analysis, the problem of identification and ranking of influential nodes based on their prominence has attracted immense attention from researchers and practitioners. Identification and ranking of influential nodes is a challenging problem using Twitter, as data contains heterogeneous features such as tweets, likes, mentions and retweets. The purpose of this paper is to perform correlation between various features, evaluation metrics, approaches and results to validate selection of features as well as results. In addition, the paper uses well-known techniques to find topical authority and sentiments of influential nodes that help smart city governance and to make importance decisions while understanding the various perceptions of relevant influential nodes.

The tweets fetched using Twitter API are stored in Neo4j to generate graph-based relationships between various features of Twitter data such as followers, mentions and retweets. In this paper, consensus approach based on Twitter data using heterogeneous features has been proposed based on various features such as like, mentions and retweets to generate individual list of top-k influential nodes based on each features.

The heterogeneous features are meant for integrating to accomplish identification and ranking tasks with low computational complexity, i.e. O(n), which is suitable for large-scale online social network with better accuracy than baselines.

Identified influential nodes can act as source in making public decisions and their opinion give insights to urban governance bodies such as municipal corporation as well as similar organization responsible for smart urban governance and smart city development.