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The purpose of this paper is to explore the composition of “tourism experience” of tourist visiting during the Nabakalebara event at Puri, India.

The paper applies data reduction using exploratory factor analysis on a sample of 300 respondents drawn during the event and condenses a set of 20 attributes into a list of five compressible factors.

The research shows that visitors visualise tourism experience as a combination of five factors: education, entertainment, esthetics, escapism and ease of facilities. They assigned different weightage in terms of significance to each of these factors. Internal configuration of these factors also reveals interesting patterns.

A non-probability sampling method is applied in this research. Future studies should replicate the research in different social, economic and geographical context to see if the factor composition and structure remain unchanged.

Organisers should focus on improving ease of facilities. Disproportionate expenditure on adding to other factors is not expected to yield matching dividends.

The study assumes significance as this kind of event used to happen on every 15 years. This attracts millions of visitors. The paper explores the expectation of visitors.

This paper is among the few works done on understanding tourism experience during the Nabakalebara at Puri, India. It adds significantly to the meagre body of knowledge in the area of tourism experience.

The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a three-area integrated source-type interlinked power network for achieving automatic generation control.

For analysis, a three area interconnected power system of which each area comprises three different generating units where thermal and hydro system as common. Micro sources like wind generator, diesel generator and gas unit are integrated with area1, area2 and area3 respectively. For realization of system nonlinearity some physical constraints like generation rate constraint, governor dead band and boiler dynamics are effected in the system.

The supremacy of multistage controller structure over simple proportional integral (PI), proportional integral, derivative (PID) and GWO technique over genetic algorithm, differential evolution techniques has been demonstrated. A comparison is made on performances of different controllers and sensitivity analysis on settling times, overshoots and undershoots of different dynamic responses of system as well as integral based error criteria subsequent a step load perturbation (SLP). Finally, sensitive analysis has been analyzed by varying size of SLP and network parameters in range ±50 per cent from its nominal value.

Design and implementation of a robust FPD plus (1 + PI) controller for AGC of nonlinear power system. The gains of the proposed controller are optimized by the application of GWO algorithm. An investigation has been done on the dynamic performances of the suggested system by conducting a comparative analysis with conventional PID controller tuned by various optimization techniques to verify its supremacy. Establishment of the robustness and sensitiveness of the controller by varying the size and position of the SLP, varying the loading of the system randomly and varying the time constants of the system.

Launching a new product successfully in a multi-brand portfolio is one of the major challenges a pharmaceutical marketer faces. This study aims to examine the role of detailing of new brands on physicians’ prescription behaviour as compared to established brands. Further, the study explores mediating role of detailing priority and detailing time on the relationship between detailing of new versus established brands and physician’s prescription behaviour.

This study was conducted as a real-world observational study involving field research. In total, 338 physicians, 90 PSRs and 44 field managers participated in this study. A serial mediation model (Hayes, Model 6) was used to examine the relationship. Regression analysis with bootstrapping was used to test the hypotheses.

Detailing of new versus established brands has a differential effect on physicians’ prescription behaviour. In addition, this relationship is serially mediated by detailing priority and detailing time.

Results suggest that detailing priority and detailing time positively and significantly alter the relationship between the detailing of new brands and physicians’ prescription behaviour as compared to established brands. While, in the absence of mediators, established brands generate higher prescriptions than new brands, the serial mediating effect helps new brands to generate more prescriptions as compared to established brands.

This research highlights the importance of detailing priority and detailing time for the successful launch of the new products. It presents compelling evidence for practicing managers to effectively use a “predetermined detailing plan” vis-à-vis “individualized detailing strategy” during the launch of a new brand.

To the best of the authors’ knowledge, this is the first study to evaluate the role of detailing priority and detailing time as mediators between the relationship of detailing and physicians’ prescription behaviour. This is also one of the rare studies to use real-world observational study methodology for conducting research.

This study aims to extend existing theories and fills research gaps regarding the acceptance and use of new technologies by consumers by exploring the adoption of app-cab services in India. Through the application and comparison of a unified theory of acceptance and use of technology (UTAUT) and UTAUT 2/expanded-UTAUT (E-UTAUT) models, this paper empirically tests the relationships between important constructs related to technology adoption, acceptance and utilization in India’s emerging economy.

In total, 612 responses to a questionnaire of active and regular users of app-cab services in India are examined. Path analysis and structural equation modeling presents interesting findings indicating that the expanded models have huge implications for the Indian app-cab industry.

This paper finds that the UTAUT 2/E-UTAUT models are a good fit for consumers and their behavior toward technology-based services. In particular, this study, one of the first of its kind, examines consumer acceptance and use behavior and identifies the factors that influence customer behavior with regard to new technology (app-cab services) in an emerging economy (India). Theoretical and practical implications are discussed.

Very few studies are available on app-cab adoption in emerging economies.

This study aims to assess young customers’ repurchasing intentions toward green plastic products by incorporating green trust model into green purchase intention model. It also evaluates the role of gender moderation in the green repurchase intention formation model.

A total of 314 young consumers of green plastic products in Bandung, Indonesia were determined for this study. This study used variance-based partial least squares (PLS) to evaluate the proposed model and examine the hypothesized relationship, by means of SmartPLS 3. The construct validity and reliability were evaluated by testing the measurement model, while the proposed hypotheses were examined by testing the structural model.

The assessment of the proposed model using PLS reveals that the incorporation of green trust model increases the prediction strength of green repurchase intentions model on green plastic products. Further, this study shows that, in general, gender did not moderate the formation of green repurchase intentions.

Besides broadening the green repurchase intention theory, this finding offers a direction for green plastic businesses to improve their capability and their marketing strategies. This study offers an important contribution in understanding young consumers’ intentions to buy green plastic products, although it has several drawbacks. In the future, to increase its generalization, this study can be replicated on young consumers in other developing and developed countries, and this model can also be tested in other segments.

To the best of the authors’ knowledge, there are no published studies that have tested the repurchase intention model for green plastic products, and none of the past studies have incorporated these models to explain repurchase intention toward green plastic products. Furthermore, the inclusion of gender roles in green repurchase intentions for green plastic products is important to be explored.

The purpose of this paper is to examine the purchase behavior of consumers towards green products by adapting and extending the theory of planned behavior with the inclusion of three pertinent environmental factors posited to reflect environmental consciousness in the form of environmental concern, environmental knowledge and environmental values.

The data was collected from 410 consumers at shopping malls with retail stores selling green and non-green products in a developing country using cluster sampling and analyzed using covariance-based structural equation modeling.

The findings of this study indicate that environmental factors reflecting environmental consciousness positively influence consumers’ attitude towards purchasing green products, wherein consumers’ environmental values have a stronger influence than their environmental concern and environmental knowledge. The findings also reveal that subjective norm, attitude and perceived behavioral control toward purchasing green products positively shape green purchase intention. The same positive effect is also witnessed between green purchase intention and behavior. However, perceived behavioral control towards purchasing green products had no significant influence on green purchase behavior.

This study suggests that green marketers should promote environmental consciousness among consumers to influence and shape their planned behavior towards green purchases. This could be done by prioritizing efforts and investments in inculcating environmental values, followed by enhancing environmental knowledge and finally inducing environmental concern among consumers. Green marketers can also leverage subjective norm and perceptions of behavioral control toward purchasing green products to reinforce green purchase intention, which, in turn, strengthens green purchase behavior. This green marketing strategy should also be useful to address the intention–behavior gap as seen through the null effect of perceived behavioral control on purchase behavior toward green products when this strategy is present.

This study contributes to theoretical generalizability by reaffirming the continued relevance of the theory of planned behavior in settings concerning the environment (e.g. green purchases), and theoretical extension by augmenting environmental concern, environmental knowledge and environmental values with the theory of planned behavior, resulting in an environmentally conscious theory of planned behavior. The latter is significant and noteworthy, as this study broadens the conceptualization and operationalization of environmental consciousness from a unidimensional to a multidimensional construct.

The purpose of this paper is to study and describe several biases in investment decision-making through the review of research articles in the area of behavioral finance. It also includes some of the analytical and foundational work and how this has progressed over the years to make behavioral finance an established and specific area of study. The study includes behavioral patterns of individual investors, institutional investors and financial advisors.

The research papers are analyzed on the basis of searching the keywords related to behavioral finance on various published journals, conference proceedings, working papers and some other published books. These papers are collected over a period of year’s right from the time when the most introductory paper was published (1979) that contributed this area a basic foundation till the most recent papers (2016). These articles are segregated into biases wise, year-wise, country-wise and author wise. All research tools that have been used by authors related to primary and secondary data have also been included into our table.

A new era of understanding of human emotions, behavior and sentiments has been started which was earlier dominated by the study of financial markets. Moreover, this area is not only attracting the, attention of academicians but also of the various corporates, financial intermediaries and entrepreneurs thus adding to its importance. The study is more inclined toward the study of individual and institutional investors and financial advisors’ investors but the behavior of intermediaries through which some of them invest should be focused upon, narrowing down population into various variables, targeting the expanding economies to reap some unexplained theories. This study has identified 17 different types of biases and also summarized in the form of tables.

The study is based on some of the most recent findings to have a quick overview of the latest work carried out in this area. So far very few extensive review papers have been published to highlight the research work in the area of behavioral finance. This study will be helpful for new researches in this field and to identify the areas where possible work can be done.

Practical implication of the research is that companies, policymakers and issuers of securities can watch out of investors’ interest before issuing securities into the market.

Under the Social Implication, investors can recognize several behavioral biases, take sound investment decisions and can also minimize their risk.

The essence of this paper is the identification of 17 types of biases and the literature related to them. The study is based on both, the literature on investment decisions and the biases in investment decision-making. Such study is less prevalent in the developing country like India. This paper does not only focus on the basic principles of behavioral finance but also explain some emerging concepts and theories of behavioral finance. Thus, the paper generates interest in the readers to find the solutions to minimize the effect of biases in decision-making.

From the last few decades, environmental issues have become a global concern. Consumption activities are given much attention in the marketing literature, whenever the question about protecting the environment arises. The responsibility of the consumer toward the environment is a major concern and the purpose of this study is to prioritize factors responsible for determining environmental responsibility among young consumers. This research will provide valuable insights to the marketers in targeting those particular areas which according to young consumers are highly ranked/prioritized for being environmentally responsible.

In this study, data were collected from 400 young consumers from Punjab and Chandigarh. Fuzzy analytical hierarchy process (F-AHP) was applied to prioritize or rank the factors on the basis of significance for being environmentally responsible. The primary factors considered for further analysis were knowledge and awareness, attitude, green consumer value, emotional affinity toward nature, willingness to act and environment-related past behavior.

Results of the study depicted knowledge and awareness as the highest-ranked and prioritized factor for young consumers to become environmentally responsible, while environment-related past behavior emerged as the least important factor for consumers' environmental responsibility.

Data were collected from the young consumers of Punjab and Chandigarh only and only a few factors of consumers' environmental responsibility were considered for further analysis which depicts the limitation of the study.

The research study is highly useful for the government and the business firms to target the highly prioritized factors of environmental responsibility which will promote green consumption practices and behavior among young consumers.

Previous researches have explored the factors of environmental responsibility and modeled their relationships. However, the present study has employed the multi-criteria decision-making technique to provide valuable insights for marketers, academicians and practitioners about the drivers of consumers' environmental responsibility which adds value to the existing knowledge base.

This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in the relationship of social capital and performance of producer organizations.

The study used data from a survey of 226 members of farmer producer organizations (FPO) in India. The model was tested through structural equation modeling wherein all hypotheses were tested using “R” studio.

The findings reveal that social capital and self-efficacy play a significant role in predicting the performance of FPO. It was found that in the process of social capital influencing the performance of FPO, self-efficacy plays a significant role as a partial mediator with a mediating effect of approximately 69.28%.

The study considered only one antecedent while identifying the reasons for perceived performance of FPOs. Hence, further studies of the various other constructs such as attitude, subjective norms, etc., may be considered.

No previous work has examined the mediating role of self-efficacy in the relationship between social capital and perceived performance of FPO. This study is possibly the only one that joins two streams of thought – social capital and self-efficacy – to examine the performance of FPO.