Search results

Paper studies the intervention of FI and TD on the sharing intention on social media (SM) users with different motivations.

The mechanism for different motivations of SM users to influence sharing intention is explored using WarpPLS. The proposed model applies TAM in Hedonic Motivation System context and includes an alternate pathway of flow state.

Reciprocal relationship between FI and TD is empirically proven. Insights from the “Motivated Sharing Model for Social Media”(MSMSM) follow that users who use SM for information get immersed, however intention to share is not triggered by it.

This study emphasizes on the compatibility of content characteristics with the gratifications of the motivations for SM use to achieve virality. Practitioners may use MSMSM to optimize content, so it appeals to the target audience and has a higher probability of being shared.

Social media users carry different motivations and choose to share select content on the overloaded platform. However, the mechanism for different motivations to drive sharing on SM has remained unexplored. Literature highlights flow as the driver of sharing, whilst the findings on the relationship between flow state and sharing intention on SM are inconclusive; some estimate a positively significant relationship, while others find it to be partially or selectively significant. In this study, intervention of the two dimensions of induced flow: namely, focused immersion (FI) and temporal dissociation (TD)—on the sharing intention on SM is examined.

On completion of this case study, students will be able to describe a circular economy and cross-marketing; discuss the common strategies under the circular economy paradigm; describe the benefits and risks of cross-marketing brand alliances and their strategic implications; examine the role of growth strategy in driving the growth of an organization; classify what constitutes the elements of a strategy for HelpUsGreen LLP; and discuss measures to be considered while selecting a partner for a cross-marketing brand alliance.

HelpUsGreen LLP was a start-up founded by Karan Rastogi in 2019, which manufactured incense sticks using the circular economy model. After deflecting from his earlier partner in 2019 and after approximately two years of effort, Rastogi expanded his business of making incense sticks using a circular economy model. Students through this case can step into the shoes of Rastogi, who, as of 9 January 2023, was in Kanpur and was in an urgent need to replicate a similar circular economy model in different cities. With over 21,060 tonnes of temple flower waste recycled, 210 tonnes of chemical pesticides offset and 100% natural products delivered, multiple opportunities emerged at the cross-marketing brand alliance and new product segment levels. Rastogi entered into several cross-marketing brand alliance arrangements and tasted success. Rastogi believed that choosing the right partner for cross-marketing was key to successful cooperation. Considering cross-marketing as a way forward, he urgently needed to develop a strategy that aligned with his mission to take HelpUsGreen LLP’s circular economy model to other parts of the country. Students should take into consideration the data regarding the processes at HelpUsGreen LLP that helped Rastogi restart from scratch and make assumptions to decide the growth route for entering different cities.

This case can be used as an introductory case in a post-graduate class on growth strategy for a business based on the circular economy model, as it delineates the challenges faced by a firm while creating a circular economy and managing its growth phase. The case can also be used in an entrepreneurship management course and a strategic management course. This case allows students to learn about the circular economy and challenges faced by the company during the growth phase. Thus, the case can be used for covering multiple perspectives related to growth strategy (e.g. the application of Ansoff matrix), for defining what is cross-marketing brand alliance and discussing what measures need to be considered while selecting a partner for cross-marketing brand alliance, and it is ideal for teaching the elements of strategy.

Teaching notes are available for educators only.

CSS 11: Strategy.

The purpose of this paper is to establish the relationship of emotional intelligence with the cultural quotient (CQ) and change readiness of Indian managers in the service sector.

Using purposive sampling, data were collected from 109 middle-level managers of the Indian service sector, comprising of top five contributing industries to the GDP of India (retail, real estate, banking and insurance, information technology and tourism). Emotional quotient (EQ) was measured by using the Emotional Intelligence Scale by Singh (2004), Cultural Intelligence Scale by Ang and Dyne (2008) was used to calculate CQ, and for measuring change readiness, Change Readiness Questionnaire developed by Kriegel and Brandt (1996) was used.

EQ has a significant and positive relationship with CQ (r=0.537) and the subscales of CQ are positively related with EQ. EQ is significantly positively related with change readiness (r=0.513) and the subscales of change readiness are also positively related with EQ.

The research is limited to only 109 middle-level Indian managers of the service sector.

Training of managers on Emotional Intelligence can lead to better handling of conflict and erase misunderstandings because of cultural diversities and could also help managers to deal with change more effectively and appropriately.

The purpose of this paper is to investigate the prediction ability in children with ASD in the risk-involving situations and compute the impact of statistical learning (SL) in strengthening their risk knowledge. The learning index and stability with time are also calculated by comparing their performance over three consecutive weekly sessions (session 1, session 2 and session 3).

Participants were presented with a series of images, showing simple and complex risk-involving situations, using the psychophysical experimental paradigm. The stimuli in the experiment were provided with different levels of difficulty in order to keep the legacy of the prediction and SL-based experiment intact.

The first phase of experimental work showed that children with ASD accurately discriminated the risk, although performed poorly as compared to neurotypical. The attenuated response in differentiating risk levels indicates that children with ASD have a poor and underdeveloped sense of risk. The second phase investigated their capability to extract the information from repetitive patterns and calculated SL stability value in time. The learning curve shows that SL is intact and stable with time (average session r=0.74) in children with ASD.

The present work concludes that impaired action prediction could possibly be one of the factors underlying underdeveloped sense of risk in children with ASD. Their SL capability shows that risk knowledge can be strengthened in them. In future, the studies should investigate the impact of age and individual differences, by using knowledge from repetitive trials, on the learning rate and trajectories.

SL, being an integral part of different therapies, rehabilitation schemes and intervention systems, has the potential to enhance the cognitive and functional abilities of children with ASD.

Past studies have provided evidence regarding the work on the prediction ability in individuals with ASD. However, it is unclear whether the risk-involving/dangerous situations play any certain role to enhance the prediction ability in children with ASD. Also, there are limited studies predicting risk knowledge in them. Based on this, the current work has investigated the risk prediction in children with ASD.

This paper describes how financial professionals' behavioral biases influence their financial forecast and decision-making process. Most of the earlier studies are focused on well-developed financial markets, and little is researched about financial professionals, such as institutional investors, portfolio managers, investment advisors, financial analysts, etc., in emerging markets.

An expert-validated questionnaire measure four prominent behavioral biases and Indian financial professionals' rational decision-making process. The final sample consists of 274 valid responses using the purposive sampling technique. IBM SPSS and AMOS structural equation modeling (SEM) software are used to build measurement and structural models, multivariate analysis including regression, factor analysis, etc.

The results provide empirical insights into the relationship between behavioral biases and the decision-making process. The results suggest that the structural path model closely fits the sample data. The presence of behavioral biases indicates that financial professionals' forecasting and decision-making is not always rational but bounded rational or irrational due to these factors. Furthermore, these biases (except overconfidence bias) have a markedly significant and positive relationship with irrational decision-making.

It is critical to eradicate these psychological errors, but awareness and attentiveness toward behavioral biases may help financial professionals to make informed decisions. Investors can improve their portfolio decisions and investments by recognizing their judgment errors and focusing on specific investment strategies to mitigate the impact of these biases. It is necessary to incorporate behavioral insights while developing training techniques for financial professionals. Rules of thumb, visual tools, financial coaching and implementing social-cultural elements in training programs enable financial professionals to develop simple, engaging, appealing and customized approaches for their clients.

This novel study is the first of this kind of research that examines the relationship between financial professionals' behavioral biases and rational decision-making process. This study significantly and remarkably provides insights into irrationality in financial professionals' decision-making.

Intimate partner violence (IPV) is a prevalent public health issue impacting women’s physical and mental health and psychosocial walks of life across cultures and societies. Despite this, many women continue to stay in such relationships. This study aims to examine, from a constructionist perspective, why women stay in abusive marriages and what factors prevent them from taking appropriate actions. Also, women’s experiences of surviving IPV were explored.

Using a descriptive qualitative research method, the authors recruited and interviewed 17 women from northern India. The data were analysed thematically.

The underlying themes that emerged in response to the research questions were the lack of family support, societal ideals, the culture of normalizing violence, fear, love and hope and emotional turmoil. The reason for women not to leave abusive marriages corresponds to the broader social constructions of marriage and women’s perceived positions in family and society.

Research on women’s decision to stay in abusive relationships is limited, especially from the Global South. This study generates fresh evidence on the subject matter, specifically from the Indian context. The study result contributes uniquely by approaching the problem of staying in an abusive relationship from a social constructionist perspective. This study has implications for policy and psychosocial interventions to bring progressive changes in the lives of women experiencing IPV.

The study was devise to summarizees the underlying theories and concepts in the context of probing effective advertising through neuromarketing.

The given review has applied a bibliometric analysis to conduct performance and science mapping. We adopted Theory, Context, Character and Methodology (TCCM) approach for conducting systematic literature review.

The study found that emotion theory was mostly implemented for the related research. The researchers used emotion induced stimuli for measuring responses preferably through electroencephalogram (EEG), galvanic skin response (GSR) and eye tracking (ET). Experimental studies provided more insightful results, despite conducting research on few participants.

Future researchers are advised to perform interdisciplinary research pertaining to the neuroscience and psychology.

The paper provides a thorough understanding of the theories, constructs and methodologies appropriate for conducting experimental neuromarketing research. The existing review papers lack to perform review on TCCM approach in the context of neuromarketing in advertising.

Fintech plays a prominent role in augmenting the financial inclusion of the population and increasing the money supply, which calls for the intervention of monetary policy. This article is an attempt to examine the relationship between the financial inclusion, fintech and monetary policy effectiveness of the Indian economy, within the framework of wealth creation and transmission mechanism through the cost of capital.

On the quarterly data retrieved from multiple sources, autoregressive distributed lagged regression is used to examine the relationship between different variables as explained in four set models; after which the Toda–Yamamoto causality test is employed to capture the direction of the relationship.

The study finds a positive relationship between financial inclusion, fintech and inflation taken as a proxy for Monetary Policy Effectiveness (MPE) in the short as well as in the long run. However, the relationship between fintech and inflation is negative once the cost of capital is included in the models. The causality test exhibits the uni-directional causality from fintech to MPE and MPE to financial inclusion. Bi-directional causality exists between wealth and MPE. Similarly, bank rate and interbank rate are bound by bi-directional causality.

Being financially included facilitates ease and boosts public access to more financial services and credit, leading to increased demand and hence inflation. Hence government and regulators need to take mindful measures to enhance the fintech development and financial inclusion to make the monetary policy effective.

As per the author's best knowledge, this is the first study to examine the relationship between fintech, financial inclusion and monetary policy effectiveness in the context of the Indian economy.

Gluten is a triggering factor for gluten-related disorders. However, the present market provides expensive, less varied and poor nutritional products. Therefore, this study aims to develop gluten-free muffins and improve their nutritional profile, as well as evaluate the physical, chemical and sensorial aspects of them.

A combination of pearl millet, buckwheat and amaranth was used to formulate gluten-free muffin using central composite rotatable design of response surface methodology for optimization of selected parameters (hydroxypropyl methyl cellulose [HPMC], baking temperature and baking time). The optimized muffins were incorporated with Moringa leaves powder. Finally, the final products were compared with the wheat muffins.

The optimization range of selected variables was 1% HPMC, 170°C baking temperature and 30.33 min baking time with a desirability function of 0.75. The incorporation of 5% Moringa leaves powder enhanced the nutritional profile of gluten-free muffins – increased protein (38%), fiber (208%), iron (224%) and calcium (25%) values. However, the overall acceptability reduced due to decrease in flavor and odor.

Nonetheless, the ease of accessibility of these convenience gluten-free muffins as well as the nutritional density can help the food research and nutritionists to bridge the gap in current gluten-free market. This puts focus on the use of underutilized crops such as millets and buckwheat which are nutritionally dense.

Accelerated life test is undertaken to induce early failure in high-reliability products likely to last for several years. Most of these products are exposed to several fatal risk factors and fail due to one of them. Examples include solar lighting device with two failure modes: capacitor failure, and controller failure. It is necessary to assess each risk factor in the presence of other risk factors as each one cannot be studied in isolation. The purpose of this paper is to explore formulation of optimum time-censored accelerated life test model under modified ramp-stress loading when different failure causes have independent exponential life distributions.

The modified ramp-stress uses one test chamber in place of the various chambers used in the normal ramp-stress accelerate life test thus saving experimental cost. The stress-life relationship is modeled by inverse power law, and for each failure cause, a cumulative exposure model is assumed. The method of maximum likelihood is used for estimating design parameters. The optimal plan consists in finding out relevant experimental variables, namely, stress rate and stress rate change point(s).

The optimal plan is devised using D-optimality criterion which consists in finding out optimal stress rate and optimal stress rate change point by maximizing logarithm of determinant of Fisher information matrix to the base 10. This criterion is motivated by the fact that the volume of joint confidence region of model parameters is inversely proportional to square root of determinant of Fisher information matrix. The results of sensitivity analysis show that the plan is robust to small deviations from the true values of baseline parameters.

The model formulated can help reliability engineers obtain reliability estimates quickly of high-reliability products that are likely to last for several years.