This study aims to examine the effects of electronic word of mouth communication (eWOM) among consumers on purchase intention and brand image, specifically, Generation Y and Z groups in relation to smartphone brands. The study utilizes an empirical research model using data collected from 402 valid respondents among consumers who use smartphone brands in North Cyprus. The study uses structural equation modeling (SEM) to explore and conduct the analysis. The results confirm the significant effects of eWOM on purchase intention through brand image and the moderating role of product type among eWOM, purchase intentions and brand image. The study also recommends that firms and marketers must concentrate on online communication channels to affect consumers' intention toward purchasing brands and brand image. Moreover, the current study model suggests that future study can be extended in different context, countries (i.e. developed, emerging, developing), industries (i.e. banks, e-commerce, tourism) and different social media platforms sites (i.e. Facebook, Twitter).
This dataset is used to investigate a comprehensive model of user satisfaction and electronic word of mouth (e-WOM). Building on the perceived telecommunication service quality and perceived value dimensions in enhancing and improving users' satisfaction and e-WOM, we empirically investigated how the dimensions of service quality as a second-order construct and perceived value dimensions affect users’ satisfaction and e-WOM in the context of mobile operators in North Cyprus. The data were collected through a self-administered questionnaire at Girne American University. The dataset was empirically evaluated using a survey of 500 respondents regarding their perceptions of the service provided by the mobile telecom operator. Data analysis involved structural equation modelling (SEM) using Statistical Package for the Social Sciences (SPSS) 23 and Analysis of Moment Structures (AMOS) 24. First, we conducted exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural modelling, followed by hypothesis testing. The outcomes obtained from this dataset indicated that perceived telecommunication service quality was positively related to perceived value dimensions (performance value and emotional value) and user satisfaction. At the same time, performance value, value for money, and social value were found to have a direct impact on user satisfaction. Specifically, there was a significant relationship between user satisfaction and e-WOM. The results may provide further insights into mobile value-added services.
This study aims to examine how Social Media Influencers (SMIs) influence patronage intentions (PI) through the influence of mediation on the brand credibility (BC) in the electronic devices sector in Jordan. Furthermore, the data were obtained by an online questionnaire based on Google Forms and a total of 315 followers in Jordan using an appropriate sampling method. structural equation modeling using Smart PLS 3 was used to investigate the relationships between SMIs, brand credibility, and patronage intentions (PI). The results indicated that SMIs directly influence PI and BC. BC Partially mediates the relationship between SMIs and PI. Research limitations in this study focus on a single sector electronic device at a specific location in Jordan. Future research may conduct cross-cultural studies to improve the generalizability of the present research findings.
This study investigates the impact of business analytics (BA) on supply chain performance (SCP) in Saudi industrial companies. It also investigates the mediating impact of information systems supporting (ISS) and business process orientation (BPO). A total of 373 respondents working in 38 manufacturing companies in the Kingdom of Saudi Arabia (KSA) were selected. A scale with acceptable validity and reliability indicators was developed to measure the study variables. The results indicated significant indirect impact of the business analytics (planning, supply, make, delivery) on supply chain performance as ISS and BPO mediate this impact. Based on the results, a set of recommendations were proposed, industrial companies in KSA must develop the analytical capabilities for managers by increasing awareness of the benefits achieved from using business analytics approaches. It is a critical precedent for supply chain SC efficiency, and for companies to enhance their analytical capabilities with good ISS and process orientation to utilize in analyzing vast amounts of internal and external data. Directions for future research are also presented in this paper.
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