E-lifestyle, Customer Satisfaction, and Loyalty among the Generation Y Mobile Users

Hassan, Siti Hasnah; Ramayah, T.; Mohamed, Osman; Maghsoudi, Amin

doi:10.5539/ass.v11n4p157

Cited by 11 publications

(4 citation statements)

References 34 publications

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“…Es estudio se realizó en noviembre y diciembre del 2022. El instrumento es una adaptación al propuesto por (Hassan et al, 2015) en E-lifestyle, customer satisfaction, and loyalty among the generation Y mobile users, consta de 28 ítems para medir cuatro Factores: Actividades Digitales (8 ítems; Intereses Digitales (7 ítems); Opinión sobre el Internet (6 ítems) y Valor del internet (7 ítems). El proceso adaptación y homologación del cuestionario consistió en obtener datos en relación a su fiabilidad (consistencia interna y test-retest), siendo los resultados para la prueba de alfa de Cronbach de (α=,883) y para el Coeficiente McDonald's de (ω=,880), siendo aceptables y evidenciando un nivel muy razonable de fiabilidad.…”

Section: Metodologíaunclassified

El estilo de vida electrónico en actividades digitales mediada por la internet

Aguilar

Chicana-Huanca

2023

revTECHNO

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El estudio examina cómo la post-pandemia influyó en las actividades digitales de estudiantes universitarios peruanos, destacando el surgimiento de un "estilo de vida electrónico" debido al aislamiento. Se estudió la relación entre este nuevo estilo y el valor otorgado a internet, concluyendo que este valor difiere entre géneros. Se realizó una encuesta a 189 estudiantes, utilizando un modelo basado en el concepto de e-lifestyle. Los hallazgos reflejan nuevas necesidades e intereses digitales post-pandemia y el cambio en la percepción de la importancia de internet.

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Section: Metodologíaunclassified

El estilo de vida electrónico en actividades digitales mediada por la internet

Aguilar

Chicana-Huanca

2023

revTECHNO

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“…Despite the numerous papers that have proved that there is a positive relationship between socialmediamarketingandbrandloyalty,thereareasufficientnumberofpapersthatpresentanew perspective. Laroche,Habibi,&Richard(2013) Demographic characteristics provide a relatively straightforward and reliable basis for segmentation (Blackwell et al, 2006;Koufaris, 2002), moreover, it has been shown to play a significantroleindeterminingthebehaviorofindividualsandwebusers (Girardetal.,2003).Based onthepreviousargument,inthecontextofourstudy,somedemographicvariables(gender,age, andeducation)willbeexaminedtodetermineiftheyaffecttherelationshipbetweensocialmedia marketingandbrandloyaltyamongsmartphoneusersinEgypt.Thesedemographiccharacteristics aremostpopularamongresearchers(e.g., Gironda,2014;Leung,2012;Kim&Ko,2012;Hassan, 2015)andtheyhaveadirectinfluenceonconsumers'lifestyleandbehaviorandrepresentindividual consumerdifferences (Dayanetal,2017).Therefore,thefollowinghypotheseshavebeenformulated:…”

Section: Social Media Marketing and Brand Loyaltymentioning

confidence: 99%

A Moderation and Mediation Model of Social Media Marketing and Brand Loyalty Among Smartphone Users in Egypt

Hilal

2021

International Journal of Customer Relationship Marketing and Management

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Social media are being extensively used as a platform to conduct marketing and advertising activities (Shwetha et al., 2020). However, there is always a challenge in how organizations can figure out the results of social media marketing (Costa et al., 2018). Therefore, this study aimed to study the effect of social media marketing on brand loyalty among smartphone users in Egypt, moreover, to identify the effect of some demographics and psychographics on this relationship. A cluster sample consisting of 502 smartphone users have been surveyed using a questionnaire that has been designed and validated. Ex-Post Facto design was employed to achieve the research objectives. Multi group analysis and path analysis were employed to test research hypotheses. Results showed that social media marketing significantly affects brand loyalty, moreover, smartphone users’ age and education significantly affect this relationship. Finally, smartphone users’ psychographics significantly affected this relationship.

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“…Adherence can be confirmed by evaluating the outer weight, which is the relative importance of each indicator, and the outer loading, which implies its absolute importance [51]. The outer weight is more than 0.1 [52], and the outer loading is more than 0.5 [53]. As a result of the analysis, it can be shown that all the criteria mentioned above are satisfied, so the application of the formative measurement model is appropriate.…”

Section: Evaluation Of Measurement Modelmentioning

confidence: 99%

Structural Impact Relationships Between Urban Development Intensity Characteristics and Carbon Dioxide Emissions in Korea

2018

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The goal of this study is to analyze the interrelated direct and indirect impacts of urban development intensity (UDI) characteristics on carbon dioxide (CO 2 ) emissions in Korea. The study also compares the main arguments and analysis results of previous studies on cities that are effective in reducing CO 2 emissions. To do this, factors attributable to the UDI characteristics of Korea were selected, and CO 2 emissions were calculated. Then, the impact of UDI characteristics on CO 2 emissions was analyzed using the partial least squares structural equation model. The main results show that the physical, spatial, and socio-demographic characteristics of UDI have a direct impact on CO 2 emissions, and physical, economic, and city-type characteristics indirectly affect CO 2 emissions. As a result, we reach the following conclusions: (i) dense urban forms reduce CO 2 emissions; (ii) economic characteristics of UDI have impact on total CO 2 emissions, having both negative and positive effects; and (iii) medium and small cities have higher per capita CO 2 emissions than do large cities. communication infrastructure on CO 2 emissions. Land use patterns and density elements represent spatial characteristics, and transportation and communication infrastructure facilities exhibit physical characteristics. Similarly, Guerin et al. [8] found that factors such as age, gender, and education level, which indicate social and economic characteristics, such as income and house ownership, affect energy consumption. Brownstone and Golob [9] found that spatial characteristics, such as residential density, affect vehicle mileage and fuel consumption. Tate et al. [10] and Mendes [11] developed the UDI index based on physical characteristics, such as land coverage and infrastructure, and socio-demographic characteristics, such as census block group.However, as pointed out by Wang et al [7], virtually no studies comprehensively address the UDI characteristics relevant to urban planning. For example, Newman and Kenworthy [6] argued that physical factors, such as transportation-related automobiles and transportation facilities, accelerate CO 2 , but their research fails to include economic factors, such as price or income changes. Similarly, Talbi [12] studied the relationship between CO 2 and economic aspects, such as GDP, fuel consumption, fuel ratio, and energy efficiency, and found that the latter two are important for CO 2 emissions. However, this author did not consider the fact that energy consumption patterns or CO 2 emissions may vary due to other factors, such as age or city type. Schipper et al. [13] and Guerin, Yust and Coopet [8] considered socio-demographic and economic characteristics but limited their study of energy consumption to the residential sector. Similarly, Fragkias et al. [14] examined the relationship between city size and CO 2 emissions based on population, but they did not sufficiently address other characteristics influencing this relationship.Though previous studies do not comprehensively address UDI charac...

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E-lifestyle, Customer Satisfaction, and Loyalty among the Generation Y Mobile Users

Cited by 11 publications

References 34 publications

El estilo de vida electrónico en actividades digitales mediada por la internet

El estilo de vida electrónico en actividades digitales mediada por la internet

A Moderation and Mediation Model of Social Media Marketing and Brand Loyalty Among Smartphone Users in Egypt

Structural Impact Relationships Between Urban Development Intensity Characteristics and Carbon Dioxide Emissions in Korea

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