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This study aims to assess the risk profile of millennial investors residing in the Delhi NCR region. In addition, the relationship between the risk profile and demographic traits of millennial investors was also analyzed.

Data was collected using a structured questionnaire segregated into two sections. In the first section, millennials were asked questions on socio-demographic factors, and the second section contained ten Likert-type statements to cover the multidimensionality of financial risk. Factor analysis and one-way ANOVA were used to analyze the primary data collected for this study.

The findings indicate that the risk profile of millennials is mainly affected by three factors: risk-taking capacity, risk attitude and risk propensity. Except for educational qualification and occupation, all other demographic features, such as age, gender, marital status, income and family size, seem to significantly influence the factors defining millennials' risk profile.

Uncertainty is inherent in any financial decision, and an investor’s willingness to deal with these variations determines their investment risk profile. To make sound financial decisions, it is mandatory to understand one’s risk profile. The awareness of millennials' distinctive risk profile will come in handy to financial stakeholders because they account for one-third of India’s population, and their financial decisions will shape the financial world for the decades to come.

The purpose of this paper is to explore the relationship between cultural intelligence (CQ) and adult demographic profiles in the workplace.

This cross-cultural study used a self-reported demographic and a 20-item CQ scale. The demographic and CQ level of 287 adults working in Oman from different countries was evaluated.

The mean total CQ score of adults working in Oman was 4.77 + 1.53. Out of the four dimensions, this study founds higher values relating to motivational CQ followed by metacognitive and behavioral CQ with mean scores 5.22 + 1.53, 5.13 + 1.57 and 4.59 + 1.54, respectively. Significance, between-group differences (gender, age, job level, sector type, education level, nationality and study abroad), were observed in metacognitive and motivational dimensions of CQ (p < 0.001). All the regression models are significant, indicating that they express a meaningful relationship between each of the dependent variables and the variables in the model. The total CQ model explains 10.7% of the variance.

The results of this study provide additional insight to researchers in identifying the demographic profiles which predict the level of total CQ. The use of a longitudinal design to further confirm the results of this study is proposed.

The study helps practicing managers to understand the implications of cultural Intelligence and how it influences employee behavior from the perspectives of demographic perspectives.

The CQ levels of adults working in Oman vary according to their demographic profiles and the demographic profiles predict the CQ levels.

Looking to the future of green marketing, examines the dynamic nature of ecologically conscious consumer behavior. The study also provides a method of profiling and segmenting college students based upon ecologically conscious consumer behavior. Findings indicate that, despite a significant amount of past research attention, demographic criteria are not as useful a profiling method as psychographic criteria. Consistent with past findings, the study indicates that perceived consumer effectiveness (PCE) provides the greatest insight into ecologically conscious consumer behavior. Further, the inclusion of altruism to the profile appears to add significantly to past efforts. Additional constructs examined suggest that environmental segmentation alternatives are more stable than past profiles that have relied primarily on demographic criteria.

The current study aims to predict consumer complaint status (complainers or non-complainers) based on socio-demographic and psychographic factors and further to discern the differences in behavior disposition of consumer groups concerning determinants of consumer's tendency to exit (TE).

The research used survey-based data of 600 Indian consumers of three service sectors (hotel and hospitality, automobile service centers and organized retail stores). Chi-square automatic interaction detector (CHAID) decision tree analysis was used to profile consumers.

The results indicated that occupation; income; education; industry and attitude toward complaining were significant factors in profiling consumers as complainers or non-complainers. Further, determinants of TE (discouraging subjective norms, perceived likelihood of successful complaint, lower perceived switching cost, poor employee response, negative past experience and ease of complaint process) vary significantly across the groups of complainers and non-complainers.

The research questions in this study were tested with three service sectors consumers in India, so due care should be exercised in generalizing these findings to other sectors and countries. Study replication across other service sectors and countries is recommended to improve the generalizability of these findings with wider socio-demographic samples.

Firms striving for consumer retention and aim to extend their consumer life cycle can greatly benefit from the results of this study to understand the customer complaint behavior (CCB) specific to non-complaining (exit) behavior. The future researcher may benefit from replicating and extending the model in different industries for further contribution to the CCB literature.

To the best of the author's knowledge, there is no evidence of consumer segmentation based on their complaining behavior or socio-demographic and psychographic factors by employing CHAID decision tree analysis. In addition to illustrating the use of data mining techniques such as CHAID in the field of CCB, it also contributes to the extant literature by researching in a non-Western setting like India.

In the present era of green consumerism, consumers are shifting towards sustainable consumption with the rising demand of green products. Despite consumers' demand of such products, their attitudes towards eco-friendly practices can neither be the same for different consumer groups nor can be treated as they all are equally green. The purpose of this study is to operationalize the green market segmentation based on demographic, psychographic and behavioural characterization in the Indian context of green consumerism.

The deductive approach of questionnaire survey method has been adapted to collect the responses from convenience sampling of Indian consumers using the measured constructs concerning to green consumer psychology. The data were analyzed by applying multivariate techniques of confirmatory factor analysis (CFA), cluster and discriminant analysis.

The results revealed that the three distinctive set of consumer groups are evolved as “keen greens”, “moderate greens” and “reluctant greens” based on the eight cognitive variables used in this study, namely environmental concern (EC), perceived environmental knowledge (PEK), perceived consumer effectiveness (PCE), perception of eco-label, perception of eco-brand and environmental advertisements, green purchase intention (GPI) and green purchasing behaviour (GPB) in the Indian context.

The research findings may lack its generalizability in the Indian context, as the survey strategy is confined with the most populated territory of India. To provide its robustness, the future studies need more heterogeneous sample across the country. The research findings could provide the key insights into policymakers and enterprises in the framing of marketing strategies to promote green consumerism in the setting of emerging economies.

There is dearth of literature concerning to green consumer segmentation based on the “attitude–intention–behaviour” approach in the Indian context. Therefore, the present study endeavours to manifest a holistic description of green consumer classification based on demographic, psychographic and behavioural characterization. At Prima facie, the study is the first that elucidates consumers' segments profile by incorporating environmental cognitive factors from both the perspectives; “consumers” inner stimuli' and “external green marketing cues”, especially in the indigenous Indian setting.

This exploratory study aims to investigate and identify the factors influencing discontinuance intention among past users of local digital wallets in Brunei Darussalam.

This study uses a mixed-method approach that integrates quantitative and qualitative research method. An online survey is distributed via widely used social media platforms, using purposive sampling to target previous users of local digital wallets. Structured questionnaires capture demographic data, whereas open-ended inquiries delve into reasons for discontinuation. Descriptive analysis will extract the demographic profiles of the samples. Inductive thematic analysis, guided by Braun and Clarke's framework, will extract and analyze qualitative responses to unveil emergent themes. Data saturation, anticipated beyond 12 responses, will signify sample adequacy.

Demographic profiles based on gender, age and payment preferences of discontinuers supplement the justification for identified themes influencing digital wallet discontinuation in Brunei Darussalam. These themes include “Acceptability Challenge,” highlighting limited vendor acceptance; “Financial Management and Security Issues,” revealing concerns over impulsive buying behavior and security robustness; “Limited Benefits,” referring to short-term interest driven by promotional benefits; “Technological Inertia,” emphasizing reluctance to change from conventional payment methods and “Technical Challenges,” encompassing internet connectivity and operational functionality issues.

This study acknowledges few limitations, including a limited number of respondents, comprising majorly of the younger age groups and females. Self-reported data usage introduces potential response bias, impacting result validity. The qualitative approach limits comprehensive understanding, suggesting validation through quantitative correlational studies. Additionally, the cross-sectional design restricts insight into the dynamic nature of digital wallet discontinuance in Brunei, suggesting the need for longitudinal studies.

The findings of this study offer valuable insights for digital wallet providers, policymakers and businesses operating within the realm of Brunei Darussalam. By tackling pertinent issues such as vendor acceptance, financial security and promotional incentives, stakeholders can effectively improve user experiences and mitigate intentions of discontinuing usage. Recommended strategies encompass the enlargement of vendor networks, the implementation of stringent security measures and the customization of promotional campaigns. Furthermore, comprehending demographic inclinations enables the tailoring of offerings, thereby fostering enduring adoption rates.

This study’s findings hold social significance for financial inclusion, technological literacy and consumer empowerment in Brunei Darussalam. Overcoming barriers to digital wallet adoption, such as limited vendor acceptance, promotes financial inclusion in the long run. Improved understanding of digital wallets enhances technological literacy and empowers users to make informed decisions. By catering to diverse demographic needs, stakeholders can promote social equity and ensure widespread access to digital payment benefits, thus positively impacting Brunei Darussalam’s socioeconomic landscape.

This study contributes to the existing knowledge gap on digital wallet discontinuance in Brunei Darussalam. By uncovering key themes and factors influencing past users’ decisions, it advances understanding in the context of postadoption dynamics. The study provides valuable insights for local and global fintech adoption strategies.

The paper reports the results of a study of food shopping behaviour in Greece. It is concerned with establishing the dimensions underlying shoppers’ evaluations of their regular supermarket store attributes, exploring the existence of shopper segments and subsequently, identifying the segments in terms of shopping behaviour and attitudes to store features. The main research instrument is a survey of adult Greek grocery shoppers in the metropolitan area of the city of Thessaloniki. The empirical results indicate that there are three dimensions that underlie the importance of store features. These are defined respectively as ‘Store design and variety’, ‘Personnel and service’, and ‘Convenient location’. The application of cluster analysis to the dimensions factor scores reveals four clusters. The characteristics of each cluster are described by average factor scores on the dimensions of store features, demographic characteristics, attitudes to store features, store loyalty, and motives for regular store choice.

This paper aims to investigate whether the consumers who return a product and those who end up keeping a product after experiencing post-purchase dissonance (PPD) possess distinct underlying characteristics.

Field survey study consisting of two separate surveys conducted with consumers of New York City and neighboring areas of New York and New Jersey.

Product returners and keepers exhibited disparate demographic profiles regarding gender and household income, along with ethnicity to some extent. The two groups also exhibited different predispositions with regard to confidence in the purchase decision and expectations about their purchase. Finally, returners and keepers were engaged in divergent thoughts, feelings and activities to cope with PPD.

The findings of this study offer marketing practitioners new knowledge and insight into understanding product returners and keepers and will assist them in developing strategies to reduce and manage increasing product returns by consumers more effectively.

This study is the first to present empirical evidence that product returners and keepers have distinct profiles of demographic characteristics and predispositions toward purchase. The study also has found divergent PPD coping strategies used by the two types of consumers, which exposes an obsolete understanding of PPD in the marketing literature.

This chapter provides the results of the motivations and the profile of the creative tourist. Results originate from the major studies done worldwide, concerned with the different types of activities. This analysis is essential to design new products based on Creative Tourism and sustainability. Also, because at an international level, including South Europe, the profile of the creative tourist has not been characterised, especially the one that visits medium-sized cities and rural areas. This chapter intends to answer the following questions: Who is the participant in Creative Tourism activities? Is he/she mainly domestic or an international tourist? Why does this type of tourist participate in these creative experiences? What type of information sources do these tourists use to find the experiences in which he/she participates? This chapter uses primary and secondary data. The secondary data follow a content analysis approach of activities offered by Airbnb Experiences Platform. Regarding the primary data, 595 questionnaires applied in 45 creative experiences in the Northern region of mainland Portugal were analysed. The creative experiences were divided into seven categories: ‘creative festivals’, ‘nature and creativity’, ‘photography workshop’, ‘gastronomy experience’, ‘industrial experience’, ‘technology and creativity’ and ‘art and crafts’. The methods used were quantitative in nature. The questionnaire used consisted of 31 closed questions aimed at the profile and the motivations of the creative experience participants. Descriptive statistical analysis was used. The main results showed that participants in the seven categories of Creative Tourism experiences have relatively large differences in terms of demographic and socio-economic characteristics. These differences were also evident in their motivations for participating in Creative Tourism experiences.

Emotional intelligence (EI) can improve patient–doctor relationships, foster empathy, develop teamwork in the workplace, and boost communication skills. This study aims to determine whether a cohort of residents has different profiles to their demographic and EI.

A cross-sectional survey was conducted in 2017–2018 (n = 440). The Trait Emotional Intelligence Questionnaire was used to measure EI. Cluster analysis was used to identify different profile groups.

Cluster analysis identified three clusters with different profiles. The residents in cluster A (n = 146, 33.2%) were older, more males, studying in their final year, and perceived lower EI. Cluster B (n = 184, 41.8%) were predominantly young females, more single, studying in year one, and perceived moderate EI. Cluster C (n = 110, 25.0%) were predominantly married females studying their year 1 in surgical and perceived higher EI.

Study limitations include respondent honesty, cross-sectional design, and lack of a comparison site. Including EI education can improve emotional regulation, well-being, and sociability and should be assessed as part of residents' development.

Medical residents differ in emotional profiles, with higher EI improving coping and problem-solving skills. EI training should be integrated into the medical curriculum, particularly given the high-stress levels and unique stressors of hospital practicums.

The study suggested that three groups of residents exist, and they differ in demographic, EI, and subscale levels. This study recommended that residents be taught EI-related concepts to help them develop their EI through training on emotionality, self-control, well-being, and sociability.