Search results

Young consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the existing works consider both Millennials and Generation Z as a single and homogeneous market segment. The purpose of this study is to explore the consumer decision-making styles which are prevalent among Indian Millennials and Generation Z e-shoppers, and how significantly they differ from one another on each of those decision-making attributes.

This exploratory study used the generational cohort theory (GCT) as a framework. The psychographic statements (Questionnaire items) employed were adopted from several past researches on store orientation and catalog orientation, and they were rephrased to suit to the context of Indian online shopping. The principal components factor analysis with promax rotation has been used to unearth the underlying decision-styles among 503 survey participants. Subsequently, the ANOVA model was run to examine the mean differences between the cohorts.

The factor analysis has revealed that frugality (Price), convenience (Home) and social desirableness are the most dominant shopping orientations (decision-styles) that prevail among Indian (Millennials and Generation Z) online shoppers though in varying degrees. The probing of ANOVA results suggested that, though both the cohorts favor e-shopping, Generation Z are more enthusiastic about online shopping than their Millennial counterparts do.

Though Generation Z and Millennials share few characteristics between them, they exhibit different consumer behaviors. Marketers need to customize their value offerings and marketing communications that resonate well with each generational cohort.

Almost all the existing research works that have been conducted so far on generational cohorts are from Western and European countries and one could confidently say that those findings cannot be applied for the developing nations such as India which is a complex and diverse country in terms of its language, custom, religion and practices with troublesome pasts. Moreover, this is the first empirical work to be conducted to unearth the generational differences that exist between Generation Z and Millennials to the best of authors' knowledge.

In response to scholarly calls, the study aims to extend and magnify the existing understanding by unravelling the differential impact of anticipated emotions on green practice adoption intention through a proposed model by integrating anticipated pride and guilt in the same continuum along with values (altruistic, biospheric and egoistic) on an employee's attitude.

A self-administered questionnaire was used to collect data randomly from 307 employees and middle-level executives of three subsidiaries of CIL through the simple random sampling (SRS) technique. Data were analysed using structural equation modelling (SEM).

Results demonstrate that anticipated guilt influences individual cognitions and future ecological decision-making through improved attitude and higher concern for the environment while pride influences only through improved attitude. Other than biospheric and altruistic values, anticipated guilt is a direct and important antecedent of concern. Altruistic values are more influential predictors of environmental intentions in comparison to biospheric values. At the same time, environmental concern is more robust in predicting eco-intentions than attitude.

It makes notable difference from other studies by not only exploring the validity of the relationship between values on attitude and environmental concern but has also considered anticipated emotions of pride and guilt together alongside values on the same continuum as an antecedent of environmental attitude and concern towards employees’ green behavioural intention at the workplace. The findings are believed to provide a common consensus on differential effects of different states of emotions on environmental concern and attitude.

The purpose of this study is to investigate the impact of greening and promotional effort dependent stochastic market demand on the remanufacturer's and the collector's profits when the quality of used products for remanufacturing is uncertain in a reverse supply chain.

The proposed model is developed to obtain optimal profits for the remanufacturer, the collector and the whole supply chain. Both the centralized and decentralized scenarios are considered. To motivate the collector through profit enhancement, the remanufacturer designs a cost-sharing contract. Through numerical examples and sensitivity analysis, the consequences of greenness and promotional effort on optimal profits are investigated.

The results show that the remanufacturer gets benefited from greening and promotional effort enhancement. However, a higher value of minimum acceptable quality level decreases the profits of the manufacturer and the collector. A cost-sharing contract coordinates the supply chain and improves the remanufacturer's and the collector's profits. Besides green innovation, remanufacturing mitigates the harmful effects of waste in the environment.

Two different viewpoints of remanufacturing are considered here – environmental sustainability and economic sustainability. This paper considers a reverse supply chain with a remanufacturer who remanufactures the used products collected by the collector. The quality of used products is uncertain, and customer demand is stochastic, green and promotional effort sensitive. These two types of uncertainty with green and promotional effort sensitive customer demand differs the current paper from the existing literature.

In response to scholarly calls, this study aims to explore the persuasive predictors including (job security, autonomy, work-life balance, culture and climate, career growth, leadership style and support, training and development and reward, recognition and pay) of talent retention in Indian PSUs by emphasising the commonalities and differences between different category of employees from different cohorts based on their contribution in the prime function of the business.

A self-administered questionnaire was used to collect data from 472 employees from selected organisations through Multistage sampling technique and Simple random sampling technique. Data were analysed using tests such as logistic regression, MANOVA, post hoc Tukey in SPSS 20.

Job security, autonomy, career growth and culture and climate are the persuasive predictors of talent retention in Indian PSUs. However, there is a significant interaction effect of age and job standard on job security. Job security and perceived employability do not relate to age for core category employees rather possess identical perception than other employee category. Findings indicate that identifying the position to be retained is more viable than a common retention strategy.

This study contributes to the existing knowledge of talent retention by exploring novel insights in comprehending the commonalities and differences of different employee category at all level from different cohorts, sharing different responsibilities in the prime function of the business that has largely been ignored. The study can succour in improving performance and cost-effective retention strategy.

The purpose of this paper is to investigate the relationships between personality, motivating factors and herding behaviour of individual investors. Investors’ personality has been classified consonant to the personality traits (compliant, aggressive and detached) encapsulated in Horney’s tripartite model.

To carry out this study, the author surveyed 363 individual investors of the Indian stock market using a structured questionnaire. Structural equation modelling is used to empirically test the relationships between personality, three motivating factors (cognitive capability, emotional factors and social factors) and herding behaviour.

The result reveals that, expect compliant personality, none shows proclivity towards herding behaviour. Investors possessing compliant personality are more influenced by social motivating factors; however, cognitive factor motivates aggressive personality, inhibiting herding behaviour. Furthermore, investors having detached personality are not influenced by any motivating factors of herding.

The limitation is the difficulty in generalizing the results to overall country populations as the Indian stock market has a huge turnover every day, and the author’s survey consisted of only small sample of individual investors.

The outcomes of this study could possibly unveil a new insight to discern the behaviour of individual investors in the Indian stock market.

The influences of personality on investment choices have been investigated before, but the influence of personality specifically on herding behaviour has not being adequately investigated in an emerging economy like India, as very scanty literature is available on the influence of personality on herding behaviour. The study addresses this gap and further explores the association of personality with different motivating factors that cause herding bias.