The purpose of this paper is to examine influence of past environmental attitudes, social and personal environmental norms, social influence, and green self-identity on consumers’ buying behavior.The article aims to explore hybrid consumption behaviour as an emergent consumption pattern on fast moving consumer goods (FMCG) that may make conventional consumer stereotypes outdated. Purpose – The present study aims to investigate the impact of perceived quality, brand extension incongruity, involvement and perceived risk on consumer attitude towards brand extension across three product types, namely, FMCG, durable goods and service (FDS) sectors. More importantly, the study seeks to explore the importance of involvement profile comprising relevance, pleasure, sign-value, risk importance and risk probability and perceived risk facets (financial, psychological and performance) in acceptance of brand extension across FDS.

Marketing Intelligence Practices on FMCG Consumer Preferences and Buying Behaviour Pattern Using Social Network Analysis

The FinTech sector is booming with record funding and investment every year. It is no surprise that the industry is becoming remarkably attractive to new business players and, as a result, increasingly competitive. To cut through the noise and lead, it is important to promote the service or product most effectively and accurately. The Fin-Tech advertising and marketing literature analyses well-known approaches such as social media or even traditional advertising; however, the usage of AdTech in the FinTech sector is barely discussed and analyzed. This article aims to fill the gap and research the usage of AdTech in the FinTech sector, analyzing the relevance, efficiency, and value of Ad-Tech tools in FinTech companies. This research methodology includes an experts’ survey, Kendall’s coefficient of con-cordance (W), TOPSIS, and AHP methods that help determine the factors of the use of AdTech in the FinTech sector.

http://bm.vgtu.lt/index.php/verslas/2022/paper/download/841/392

Research on the use of adtech in fintech companies

Managing for employee retention involves strategic actions to keep employees motivated and focused so they elect to remain employed and fully productive for the benefit of the organization. A comprehensive employee retention program can play a vital role in both attracting and retaining key employees, as well as in reducing turnover and its related costs. All of these contribute to an organization's productivity and overall business performance. The other objective is to analyze the critical factor which can affect the level of retention & engagement of employees with the help of literature review. For the current article the researchers reviewed 30 relevant research papers/ literature comprising employee retention& engagement concepts and practices amply. The findings of the study like good training & development, compensation structures, autonomy, quality of work life, work polices and arrangements will lead the managers and management to a new dimension with holistic approach in the field of employee retention & engagement,

Mediating Role of Employee Retention on the Relationship between Employee Engagement and Employee Performance: An Empirical Study

La publicidad programática y sus tecnologías, la compra de medios tradicionales se ha visto sustituida por la compra de segmentos de audiencia. El criterio ya no es más el contexto sino los intereses de los usuarios a los que queremos mostrar ciertos anuncios, que conocemos gracias a su perfil de navegación entre otras fuentes. Se ha empleado una metodología de investigación cualitativa. Junto con lo anterior se ha estudiado las cookies, su relevancia en el ecosistema de publicidad programática y qué supondría la desaparición de las third party cookies en Google Chrome.

Publicidad programática y los cambios en la industria digital. ¿El fin de las third party-cookies?

https://iopscience.iop.org/article/10.1088/1742-6596/1716/1/012032/pdf

Role of programmatic advertising on effective digital promotion strategy: A conceptual framework

Automobile industry has become more competitive in recent years as customers’ expectations are ever changing. As the nature of the environment grows more competitive, the demand to meet customer expectations has grown significantly. One of the key pieces of information that would assist car manufacturers is an underlying of what determines customer preferences. The research focused on (1) exploring the attributes most-preferred by female customers when selecting a car to buy; (2) to evaluate the relative importance of the various levels of each attribute that influence the selection of a car by female customers and (3) to identify relative priority of attributes across different groups of female customers. The current research design employed qualitative as well as quantitative methods. To generate attributes Thematic analysis was employed that were then used to construct a questionnaire for quantitative survey. In the quantitative section both conjoint and cluster analysis was involved in the decision to select cars through which a final sample size of 435 responses obtained. Using conjoint analysis, to investigate the importance of car attributes in Chennai. The result indicates that the six most important attributes female customer prefer were Gear type, Body type, Safety, Price, Color and Fuel efficiency. Based on these findings car manufacturers can develop marketing strategies and better position their vehicles.

A Conjoint Based Approach on Female Customers’ High Relevant Attributes Towards Passenger Car Preferences

This study focuses on customers’ various shopping motives through Omni-channel adoption and level of attainment of shopping motives. Customers adopt different channels and integrate the evidence to reach the optimal shopping motives. The purpose of this study is to identify the shoppers’ level of attainment of shopping motives with the usage level of Omni-Channel shopping behavior. The demographic differences in the Omni- channel shopping behavior and its effectiveness on reaching shopping motives. This study concentrates on three objectives Understanding the pattern of shoppers’ Omni-channel usage and switches among channel. Distinguish the users and Non-users of Omni-channel adopters in terms of shopping motives attainment. A shopping motive scale, Hedonic & utilitarian shopping. The shoppers’ purchase detail and switch between the channels were enquired in the Questionnaire in order to identify the shoppers’ basket and further, it is classified on the basis of channel usage. Since the population size is unknown, the non-probability sampling technique was adopted. The sample frame is the hyper market shoppers in Palakkad district.

152 valid replies were received from the shoppers in a hyper market. A social network was developed by the author to analyse the series of effects of multichannel usage on attainment of shopping motives and effectiveness of Omni-channel adoption and channel switches were. The frequency of usage of channels reveal that the customers are showing several pattern in the shift of channels for reaching the high level of shopping motives. Omni-channel has been focused presently by many business areas, yet it can be useful in retailing. This study is taking a different dimension approaching Omni-channel retailing. The shoppers’ pattern can be assessed by the omni-channel retailing which would be highly beneficial to the retailers.

A Social Network Analysis on Understanding Pattern of Shoppers’ OmniChannel Adoption and Clustering Based on Channel Switching and Preference Attributes

Thangaraja Arumugam

Papers

Role of programmatic advertising on effective digital promotion strategy: A conceptual framework

A Conjoint Based Approach on Female Customers’ High Relevant Attributes Towards Passenger Car Preferences

A Social Network Analysis on Understanding Pattern of Shoppers’ OmniChannel Adoption and Clustering Based on Channel Switching and Preference Attributes