Factors Affecting the Big Data Adoption as a Marketing Tool in SMEs

Silva, Jesús; Hernández–Fernández, Lissette; Cuadrado, Esperanza Torres; Mercado-Caruso, Nohora; Espinosa, Carlos Rengifo; Ortega, Felipe Acosta; P, Hugo Hernández; Delgado, Genett Jiménez

doi:10.1007/978-981-32-9563-6_4

Cited by 9 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…EE correlates BI [36], [37], [39]- [42], [45]. Alter in SI make BI transformed [38], [39], [41]- [43], [45]. FC factor can permute BI [39], [40], [42].…”

Section: B Forest Plot and Heterogeneitiesmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Literature Review: UTAUT Model Research for Green Farmer Adoption

Siregar¹,

Anggoro²,

Irianto³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

Increased food production necessitates technological adoption. Model adoption is a term that refers to the Unified Theory of Acceptance and Use of Technology (UTAUT). The model development research seeks to identify critical variables influencing technology adoption. The development objective is to accelerate the adoption of innovative technology. A literature study is used to develop the UTAUT model and identifies significant factors. SALSA was utilized to conduct this literature review (Secondary Appraisal, Synthesis, and Analysis). The analytical technique employed is a meta-analysis, with the findings shown as a forest plot. Three hundred ten journals were collected for this study evaluation, with 11 selected for further examination. Currently, 13 models are being used in selected journals to modify the UTAUT model. Much of the research in Asia is conducted in research sites. In comparison to the modified UTAUT model, the UTAUT model has the most significant association with technology adoption (0.432). On the other hand, that model exhibits a high degree of heterogeneity (81.5%). Behavioral Intention (0.384) is a component of the UTAUT model, with considerable variability seen in the data (70.3%). Agriculture interventions must be directed at boosting the use of technology. A farmer may engage the services of a mediator following the UTAUT paradigm. Three critical factors to examine are Performance Expectancy, Social Influence, and Facilitating Condition Factors.

show abstract

“…EE correlates BI [36], [37], [39]- [42], [45]. Alter in SI make BI transformed [38], [39], [41]- [43], [45]. FC factor can permute BI [39], [40], [42].…”

Section: B Forest Plot and Heterogeneitiesmentioning

confidence: 99%

“…Alter in SI make BI transformed [38], [39], [41]- [43], [45]. FC factor can permute BI [39], [40], [42]. FC factors affect the Use Behavioral factor [36], [38], [39].…”

Section: B Forest Plot and Heterogeneitiesmentioning

confidence: 99%

A Systematic Literature Review: UTAUT Model Research for Green Farmer Adoption

Siregar¹,

Anggoro²,

Irianto³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

View full text Add to dashboard Cite

show abstract

“…To review the previous study, the author focused on the studies which applied UTAUT and SMEs. UTAUT has been applied by many researchers to study DWP adoption in SMEs such as accounting information system (Lutfi, 2022); cloud computing technology (Khayer et al, 2021); e-commerce (Shahzad et al, 2020) & (Sombultawee, 2020); electronic procurement Kit et al (2021); Soong et al (2020) digital advertising (Reyes-Mercado & Barajas-Portas, 2020) ; enterprise system (Awa & Ukoha, 2020); social media (Alhaimer, 2019); smart manufacturing technology (Chei et al, 2019); big data (Silva et al, 2019); Internet technology adoption (Dasgupta & Gupta, 2019) and business application (Ibrahim et al, 2018) The environmental factor was a positive predictor of the performance expectancy of electronic commerce (EC) among SMEs, it does not, however, encourage the adoption of EC. The knowledge factor is a significant determinant of the adoption of EC among SMEs.…”

Section: Definition and Conceptualizations Of Digital Workplacementioning

confidence: 99%

The Determinants of Digital Workplace Adoption: A Conceptual Framework

Hashim¹,

Razak²,

Muhammad³

et al. 2022

IJARBSS

View full text Add to dashboard Cite

The digital workplace is an invaluable organizational resource that can significantly boost the productivity of knowledge workers. The reduction of barriers between people, information, and processes is one of the many benefits offered digital workplace, along with mobility, information searching, communication, and collaboration. However, the Movement Control Order caused commercial losses for more than two thirds of Malaysian SMEs (MCO). 31% of SMEs suffered delays in finishing tasks and projects, while 30% had operational interruptions. From a thorough analysis of the literature on digital workplace adoption adoption, this study presents a conceptual framework to determine the factors that influence digital workplace adoption. The conceptual framework which is based on Unified Theory of Technology Acceptance and Use (UTAUT) will be applied in this study. The proposed framework can be utilized to identify the determinant factors of digital workplace adoption among employees of Malaysian SMEs. In the meantime, Personal Knowledge Management is integrated to the framework serves as a moderator to assess worker's ability in using digital workplace tools.

show abstract

“…Another study revealed that infrastructure is the most critical factor for BDA in SMEs. Additionally, possible problems for implementing BD in SMEs were discussed [24].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Big Data Adoption on SMEs’ Performance

Nasrollahi

Ramezani

Sadraei³

2021

BDCC

View full text Add to dashboard Cite

The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data (BD) components to improve their performance becomes a relevant research area. This issue is becoming more pertinent for small and medium enterprises (SMEs), especially in developing countries that encounter limited resources and infrastructures. Due to the lack of empirical studies related to big data adoption (BDA) and BD’s business value, especially in SMEs, this study investigates the impact of BDA on SMEs’ performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a structural equation modeling (SEM) methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance. There has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research suggestions, as well as some limitations and unanswered questions.

show abstract

Factors Affecting the Big Data Adoption as a Marketing Tool in SMEs

Cited by 9 publications

References 20 publications

A Systematic Literature Review: UTAUT Model Research for Green Farmer Adoption

A Systematic Literature Review: UTAUT Model Research for Green Farmer Adoption

The Determinants of Digital Workplace Adoption: A Conceptual Framework

The Impact of Big Data Adoption on SMEs’ Performance

Contact Info

Product

Resources

About