scholarly journals The impact of artificial intelligence analytics in enhancing digital marketing: the role of open big data and AI analytics competencies

2021 ◽  
Author(s):  
Tahereh Saheb ◽  
Bahareh Amini
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Structural Equation ◽  
Strategic Decision ◽  
Digital Marketing ◽  
Equation Modeling ◽  
Strategic Decision Making ◽  
Knowledge Based ◽  
The Impact

Abstract Purpose: The goal of digital marketing is to enhance strategic decision making to discover competitive and consumer behavior, and to provide early warnings of risks and opportunities. In the age of digitalization, digital marketing may be influenced with the use of cognitive technologies and also open sources of big data. The aim of this paper is to understand the impact of artificial intelligence analytics on digital marketing and the role of open big data and AI analytics competencies in this relationship.Design: A structural equation modeling of the 227 questionnaire was carried out. Findings: Our analysis shows that open big data has a significant impact on digital marketing, and AI analytical competencies moderate the impact of open big data on digital marketing. Value: Theoretically, this study extends the literature on knowledge-based view and AI analytics in digital marketing. Practically, this study broadens understandings regarding the perquisites of digital marketing through the use of cognitive technologies and open big data

The Effect of Big Data Analytic Capabilities Upon Bank Performance via FinTech Innovation

2021 ◽  
Vol 13 (4) ◽  
pp. 62-87
Author(s):  
Ahmed Al-Dmour ◽  
Rand H. Al-Dmour ◽  
Hani H. Al-Dmour ◽  
Eatadal Basheer Ahmadamin
Keyword(s):  
Big Data ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Positive Influence ◽  
Equation Modeling ◽  
Bank Performance ◽  
Senior Managers ◽  
Mediating Role ◽  
The Impact

This study aims to examine and validate the impact of big data analytical capabilities (individual, organizational, and technological) on bank performance via the mediating role of Fintech innovation in commercial banks operating in the United Arab Emirates (UAE). Based on a literature review, resource-based theory, and financial innovation theory, an integrated conceptual framework was developed to guide the study. A quantitative survey approach was used, and the data was collected from 236 banks' senior managers (IT, financial, and marketers). Amos 21 structural equation modeling (SEM) was used to analyze and verify the study variables. The main findings revealed that big data analytical capabilities had a significant positive influence on bank performance. Fintech innovation acted as partial mediators in this relationship.

scholarly journals Exploring the impact of Artificial Intelligence and Digital Marketing on Intention to Use Online Transportation: a Lesson Learned from Indonesian Millenials

2020 ◽  
Author(s):  
Franycia Maria Pangkey ◽  
Lalu M. Furkan ◽  
Lalu Edy Herman ◽  
Agusdin Agusdin
Keyword(s):  
Artificial Intelligence ◽  
Structural Equation ◽  
Best Practice ◽  
Partial Least Square ◽  
Least Square ◽  
Service Organizations ◽  
Digital Marketing ◽  
Equation Modeling ◽  
Intelligence Development ◽  
The Impact

Abstract This paper aims to investigate the influence of artificial intelligence and digital marketing on consumer buying intention. Artificial intelligence development has revolutionized digital marketing and changed consumer buying intention that boosts sales. Artificial intelligence and digital marketing combine the rapidly developing technologies so that everything is reachable in a simple touch that brings best practice to consumers. This paper uses quantitative approach that was stipulated from previous research on artificial intelligence, digital marketing and consumer buying intention. The analysis was carried out using structural equation modeling (SEM) based on partial least square (PLS), with 74 respondents. The novelty of this paper is that it examines the use in online transportation (Gojek) among the millenials. The results showed that artificial intelligence and digital marketing have positively effects on the buying intention. Practical contributions of this research is to inform service organizations and their management in their business development.

scholarly journals The Interplay among Organisational Learning Culture, Agility, Growth, and Big Data Capabilities

2021 ◽  
Vol 13 (23) ◽  
pp. 13024
Author(s):  
Dilek Cetindamar ◽  
Mile Katic ◽  
Steve Burdon ◽  
Ayse Gunsel
Keyword(s):  
Big Data ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Organisational Learning ◽  
Learning Culture ◽  
Theory And Practice ◽  
Equation Modeling ◽  
The Impact ◽  
Organisational Agility

This paper examines how an organisational learning culture impacts organisational agility by developing a model based on dynamic capabilities. The model treats agility as a dynamic capability and explains how an organisational learning culture (OLC) triggers a chain reaction through its influence on organisational agility (OA) that ultimately results in company growth. This paper also investigates the role of big data capabilities in transferring learning outcomes into dynamic capabilities. The model is tested through data collected from a survey of 138 Australian companies. Partial least squares structural equation modeling is adopted to empirically demonstrate how agility fully mediates the impact of the learning culture on growth. In addition, this paper further sheds light on the moderating role of big data competencies on the effects of OLC on OA. After presenting the results with implications to theory and practice, the paper ends with suggestions for future studies.

The Role of Career Self-Efficacy on the Effect of Parental Career Behaviors on Career Exploration: A Study on School of Tourism and Hotel Management’ Students

2016 ◽  
Vol 3 (1) ◽  
pp. 143 ◽  
Author(s):  
Selahattin Kanten ◽  
Pelin Kanten ◽  
Murat Yeşiltaş
Keyword(s):  
Undergraduate Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Career Exploration ◽  
Equation Modeling ◽  
Survey Method ◽  
Hotel Management ◽  
Mediating Role ◽  
The Impact

This study aims to investigate the impact of parental career behaviors on undergraduate student’s career exploration and the mediating role of career self-efficacy. In the literature it is suggested that some social and individual factors facilitate students’ career exploration. Therefore, parental career behaviors and career self-efficacy is considered as predictors of student’s career exploration attitudes within the scope of the study. In this respect, data which are collected from 405 undergraduate students having an education on tourism and hotel management field by the survey method are analyzed by using the structural equation modeling. The results of the study indicate that parental career behaviors which are addressed support; interference and lack of engagement have a significant effect on student’s career exploration behaviors such as intended-systematic exploration, environment exploration and self-exploration. In addition, it has been found that one of the dimensions of parental career behaviors addressed as a lack of engagement has a significant effect on career self-efficacy levels of students. However, research results indicate that student’s career self-efficacy has a significant effect on only the self-exploration dimension. On the other hand, career self-efficacy has a partial mediating role between lack of engagement attitudes of parents and career exploration behaviors of students.

scholarly journals Mental Health of Refugees and Migrants during the COVID-19 Pandemic: The Role of Experienced Discrimination and Daily Stressors

2021 ◽  
Vol 18 (12) ◽  
pp. 6354
Author(s):  
Eva Spiritus-Beerden ◽  
An Verelst ◽  
Ines Devlieger ◽  
Nina Langer Primdahl ◽  
Fábio Botelho Guedes ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Health Impact ◽  
Equation Modeling ◽  
Daily Stressors ◽  
Health Crisis ◽  
The Impact ◽  
Migrant Groups

The COVID-19 pandemic is a defining global health crisis of our time. While the impact of COVID-19, including its mental health impact, is increasingly being documented, there remain important gaps regarding the specific consequences of the pandemic on particular population groups, including refugees and migrants. This study aims to uncover the impact of the COVID-19 pandemic on the mental health of refugees and migrants worldwide, disentangling the possible role of social and daily stressors, i.e., experiences of discrimination and daily living conditions. Descriptive analysis and structural equation modeling were used to analyze the responses of N = 20,742 refugees and migrants on the self-reporting global ApartTogether survey. Survey findings indicated that the mental health of refugees and migrants during the COVID-19 pandemic was significantly impacted, particularly for certain subgroups, (i.e., insecure housing situation and residence status, older respondents, and females) who reported experiencing higher levels of increased discrimination and increases in daily life stressors. There is a need to recognize the detrimental mental health impact of the COVID-19 pandemic on particular refugee and migrant groups and to develop interventions that target their unique needs.

Toward a Smart Organization, Integrating KM Processes and Organizational Capabilities

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Structural Equation ◽  
Common Knowledge ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Direct Impact ◽  
Suggested Model ◽  
Mediating Role ◽  
The Impact ◽  
Telecommunications Companies

It is common knowledge that organizations today face the challenges of growing competition. Therefore, organizations need to develop smarter to plan for several diverse and real-time challenges. The aim of this paper is to test the impact of knowledge management (KM) processes, organizational capabilities (OC), and mediating KM mechanisms and KM technologies toward a smart organization (SO). In this paper, structural equation modeling was applied by using Smart PLS 3.3.3 software to test hypotheses and the accuracy of the suggested model. The results showed a direct impact between all constructs and are a reflection of the SO of the employees (N=225) working in three Jordanian telecommunications companies. Additionally, the outcomes provision the partial mediating role of KM mechanisms and KM technology with OC in the SO. These outcomes can support leaders in generating a consciousness in addition to favorable OC, KM mechanisms, and KM technologies inside the organization, which enables the actual implementation of SO and uses the outcomes to plan their SO strategies.

The Impact of Performance Variables on Industry in K-Economy

2013 ◽  
Vol 64 (2) ◽  
Author(s):  
Muhammad Jawad Iqbal ◽  
Ibn-e- Hassan
Keyword(s):  
Knowledge Economy ◽  
Structural Equation ◽  
Strong Relationship ◽  
Equation Modeling ◽  
Survey Questionnaire ◽  
Performance Variables ◽  
Complementary Resources ◽  
The Impact ◽  
Associated Variables

In the knowledge economy, companies are thought to be the experts who develop innovative product or service as per demand and then market it to generate the revenue. The role of industry in a knowledge economy is to search and to promote inter-organizational collaborations for learning and to search linkages to arrange for complementary resources. These interactions improve the performance of industry in the knowledge economy. This research has been conducted to find out the impact of industry associated variables that significantly influence the performance of knowledge economy. Important attributes have therefore, been identified from the studies conducted in the field of knowledge economy. Influence of identified attributes on industry has been measured using structural equation modeling (SEM) technique. Data has been collected using survey questionnaire. Findings of the study confirm that there exist a strong relationship among the industry and it’s identified variables that collectively influence the performance of industry in the knowledge economy.

Traveler loyalty and its antecedents in the hotel industry

2019 ◽  
Vol 31 (1) ◽  
pp. 474-495 ◽  
Author(s):  
Heesup Han ◽  
Kiattipoom Kiatkawsin ◽  
Wansoo Kim
Keyword(s):  
Structural Equation ◽  
Equation Modeling ◽  
Emotional Experiences ◽  
Continuance Commitment ◽  
Content Type ◽  
Guest Satisfaction ◽  
Loyalty Intentions ◽  
The Impact ◽  
Metric Invariance

PurposeThe purpose of this paper is to examine the intricate associations among the performance of ambient atmospherics, emotional experiences, overall image and guest satisfaction and test the influence of these relationships on loyalty intentions by considering the moderating impact of continuance commitment in the upscale hotel context.Design/methodology/approachA field survey was conducted to collect the data. A quantitative approach was used for data analysis. Structural equation modeling and a test for metric invariance were used to identify the impact of study variables.FindingsThe results of this paper indicated that the hypothesized relationships were in general significant, that the proposed theoretical framework satisfactorily predicted guests’ intentions to be loyal and that the role of satisfaction among study constructs was prominent. Findings from the test for metric invariance also showed that continuance commitment significantly affected the associations among emotional experiences, satisfaction and loyalty intentions. Moreover, emotional experiences, overall hotel image and guest satisfaction were found to play a significant mediating role in generating loyalty intentions.Practical implicationsThe findings of this paper inform hotel practitioners of the clear role of atmospherics, emotional experiences, image, satisfaction and continuous commitment in building loyalty. In addition, these findings can help hotel practitioners and researchers invent thorough and strategic methods for loyalty enhancement.Originality/valueThe existing hotel literature has provided a limited view regarding the impact of these research variables. The present paper filled this research gap through the successfully development of a robust framework for hotel guest loyalty.

scholarly journals The Impact of Big Data Adoption on SMEs’ Performance

2021 ◽  
Vol 5 (4) ◽  
pp. 68
Author(s):  
Mahdi Nasrollahi ◽  
Javaneh Ramezani ◽  
Mahmoud Sadraei
Keyword(s):  
Big Data ◽  
Economic Performance ◽  
Structural Equation ◽  
Information Technologies ◽  
Social Performance ◽  
Empirical Studies ◽  
Research Area ◽  
Equation Modeling ◽  
Future Research ◽  
The Impact

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.

scholarly journals Intention to study digital marketing in the context of expected quality of a study program

2021 ◽  
pp. 35-44
Author(s):  
Ines Đokić ◽  
Nikola Milićević ◽  
Nenad Đokić
Keyword(s):  
Structural Equation ◽  
Marketing Research ◽  
Digital Marketing ◽  
Equation Modeling ◽  
General Level ◽  
Study Program ◽  
Generic Skills ◽  
Quality In Higher Education ◽  
The Impact

Measuring the quality in higher education can be performed on a more general level, usually by adjusting the instruments for measuring the quality of services in general, or through instruments that are related most directly to the study program. In any case, in methodological terms, one should keep in mind the relevant scientific knowledge regarding the treatment of a model that describes the relations of quality and its dimensions. In addition to appropriate theoretical observations, a primary marketing research was conducted in this paper, in order to determine whether and to what extent the expected quality of the study program affects the intention to enroll in it. In this particular case, students of the Faculty of Economics in Subotica (n = 89) evaluated (in June 2021) the expected quality of the master study program Digital Marketing (which is to start at this faculty in the forthcoming academic) and expressed their intentions to enroll in that program. Structural equation modeling was used. The results indicate that the expected quality positively and statistically significantly affects the intention to study the study program. The construct of the expected quality itself is statistically significantly formed by the dimensions of quality in the following order (according to the strength of the impact): Generic Skills, Good Teaching, Clear Goals and Standards, Appropriate Workload, and Appropriate Assessment.

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