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The purpose of this paper is to examine the effect of mobile customer relationship management (mCRM), service innovation (SI) and word of mouth (WOM) on the investment decisions (IDs) of mutual fund investors.

This paper presents a new model for impacting the IDs of mutual fund investors. To verify the suggested model, Partial Least Squares with Structural Equation Modelling are used. For analysis, a survey questionnaire is designed, and data inputs were invited from more than 400 online mutual fund investors in Delhi NCR.

The outcomes reveal that the ID of mutual fund investors is significantly influenced by WOM. WOM, in turn, is significantly impacted by mCRM applications through SI playing a mediating role.

The limitation with reference to survey respondents was that only online mutual fund investors using mCRM applications were considered. Moreover, this study was conducted in Delhi NRC, and a limited sample was considered.

The result from this research helps the financial organisation to consider SI in their mCRM application as one of the main concerned areas for increased WOM that directly influences the ID of mutual fund investors.

This study highlighted the impact of SI and WOM on the mutual fund investors’ decision, who use mCRM application. The outcome may contribute to the theoretical framework of IDs concerning mCRM applications. The results of this research offer practical implications for financial organisations in strategising their marketing and product development plans in the context of mutual funds. Also, the mutual fund ID through mCRM application is positively influenced by SI and WOM using both constructs as sequential mediating tools. This research offers new insights into mCRM application for mutual fund investors and financial organisations in India.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

This study aims to delve into the cultural differences between developing and developed countries pertaining to the negative behavioral fallouts of adopting anthropomorphized humanoids or robots. The underlying motivation (for the study) lies in the fact that these countries are at the vanguard of artificial intelligence development and deployment, albeit with varying levels of development and acceptance.

The research framework used in this study is guided by the computers as social actors framework, expectancy disconfirmation theory and is supported by the uncanny valley theory. The data was collected in two contexts using probabilistic sampling technique, N= = 782 (n₁ = 393 respondents: developed country i.e. USA and n₂ = 389 respondents: developing country i.e. India). The partial least square analysis was carried out for the proposed model’s validation and hypotheses testing.

This study shows that in developed countries, the consumers have high preinteraction expectations while they express comparatively more dark behavior than respondents from developing countries. Consumers in developed countries focus on anthropomorphic knowledge and design cues, while in developing countries, they pay attention to utility and functionality. Finally, the results also suggest that female respondents from developed countries exhibit more resilience toward anthropomorphized agents in adopting and expressing dark behavior.

The present research makes essential contributions to anthropomorphism literature. First, this study explored impact of the interaction effect on the dark side, a rather under-explored domain in regret literature. Second, this study provides evidence for cross-cultural variations pertaining to the dark side impacts. Finally, this study adds to impact of demographic variables, showing that gender played a significant role in moderating relationships in the proposed model.

The purpose of this study is to identify the key factors that drive social entrepreneurship (SE) among Ecuadorian social entrepreneurs.

The study was developed following a qualitative and exploratory research design based on the identification of social entrepreneurs through the nonprobabilistic sequential sampling technique, giving a total of fifteen social entrepreneurs who were given a structured interview that was later analyzed in the ATLAS.TI software for the identification, analysis and categorization of drivers.

The results will identify eight drivers for SE, including social exclusion, public support, sources of employment, economic income, family support, environmental awareness and fair trade, as standards and values. Overall, the findings help to improve the understanding of the factors that determine the creation and development of social enterprises in the country.

Deepen and increase the literature on SE in Latin America. Contribute to reducing the knowledge gap on the topic.

Taken together, the results provide empirical evidence and help to better understand the factors that determine the creation and development of social enterprises in the country.

Identificar los factores clave que impulsan el emprendimiento social en emprendedores sociales ecuatorianos.

El estudio se desarrolló siguiendo un diseño de investigación cualitativo y exploratorio basado en la identificación de emprendedores sociales a través de la técnica de muestreo secuencial no probabilístico, obteniendo un total de quince emprendedores sociales a quienes se les realizó una entrevista estructurada que posteriormente fue analizada en el software ATLAS.TI para la identificación, análisis y categorización de impulsores.

Los resultados identificarán ocho impulsores del empresariado social, entre los que se encuentran la exclusión social, el apoyo público, las fuentes de empleo, los ingresos económicos, el apoyo familiar, la conciencia medioambiental y el comercio justo, como normas y valores. En general, los resultados ayudan a mejorar la comprensión de los factores que determinan la creación y el desarrollo de empresas sociales en el país.

En conjunto, los resultados aportan evidencia empírica y ayudan a comprender mejor los factores que determinan la creación y desarrollo de empresas sociales en el país.

Profundizar e incrementar la literatura sobre Emprendimiento Social en América Latina. Contribuir a reducir la brecha de conocimiento sobre el tema.

Identificar os principais fatores que impulsionam o empreendedorismo social nos empreendedores sociais equatorianos.

O estudo foi desenvolvido de acordo com um projeto de pesquisa qualitativo e exploratório baseado na identificação de empreendedores sociais por meio da técnica de amostragem sequencial não probabilística, totalizando quinze empreendedores sociais que foram submetidos a uma entrevista estruturada, posteriormente analisada no software ATLAS.TI para identificação, análise e categorização dos fatores determinantes.

Os resultados identificarão oito motivadores do empreendedorismo social, incluindo exclusão social, apoio público, fontes de emprego, renda econômica, apoio familiar, consciência ambiental e comércio justo, como padrões e valores. Em geral, os resultados ajudam a melhorar a compreensão dos fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Em conjunto, os resultados fornecem evidências empíricas e ajudam a entender melhor os fatores que determinam a criação e o desenvolvimento de empresas sociais no país.

Aprofundar e aumentar a literatura sobre empreendedorismo social na América Latina. Contribuir para reduzir a lacuna de conhecimento sobre o tema.