Sungwon Oh, Min Jae Park, Tae You Kim and Jiho Shin
This study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was…
Abstract
Purpose
This study aimed to present the methodology of the text data analysis to establish marketing strategies for fintech companies in a practical way. Specifically, the methodology was presented to convert customers' review data, which consisted of the text data (unstructured data), to the numerical data (structured data) by using a text mining algorithm “Global Vectors for Word Representation,” abbreviated as “GloVe”; additionally, the authors presented the methodology to deploy the numerical data for marketing strategies with eliminate-reduce-raise-create (ERRC) value factor analytics.
Design/methodology/approach
First, the authors defined the background, features and contents of fintech services based on a review of related literature review. Additionally, they examined business strategies, the importance of social media for fintech services and fintech technology trends based on the literature review. Next, they analyzed the similarity between fintech-related keywords, which represent the trends in fintech services, and the text data related to fintech corporations and their services posted on Facebook and Twitter, which are two of the most popular social media globally, during the period 2017–2019. The similarity was then quantified and categorized in terms of the representative global fintech companies and the status of each fintech service sector. Furthermore, the similarity was visualized, and value elements were rebuilt using ERRC strategy analytics.
Findings
This study is meaningful in that it quantifies the degree of similarity between customers' responses, experiences and expectations regarding the rapidly growing global fintech firms' services and trends in fintech services.
Originality/value
This study suggests a practical way to apply in business by providing a method for transforming unstructured text data into structured numerical data it is measurable. It is expected that this study can be used as the basis for exploring sustainable development strategies for the fintech industry.
Details
Keywords
Sherzodbek Murodilla Ugli Dadaboyev, Soyon Paek and Sungwon Choi
This research aims to clarify the relationship between organizational identification and employees’ unethical pro-organizational behavior, which has been a topic of mixed findings…
Abstract
Purpose
This research aims to clarify the relationship between organizational identification and employees’ unethical pro-organizational behavior, which has been a topic of mixed findings in previous empirical studies. To address this issue, a meta-analytic review was conducted, focusing on the influence of key individual differences such as gender, age and organizational tenure on the relationship between organizational identification and unethical pro-organizational behavior.
Design/methodology/approach
The study utilizes large scholarly databases including Google Scholar, PsycINFO, Business Source Premier and ProQuest Dissertations to identify relevant studies. A total of 31 independent samples with a combined sample size of 8,861 participants were included in the analysis.
Findings
The results showed that the estimated average correlation between organizational identification and unethical pro-organizational behavior after corrected for measurement unreliability was 0.188 (p < 0.001, 95% [CI: 0.125, 0.251]). Gender demonstrated a significant moderating effect (estimate = 0.004, p < 0.05, 95% [CI: 0.000, 0.007]), suggesting that there is stronger association between organizational identification and unethical pro-organizational behavior among male participants. Neither age nor organizational tenure had significant effect on organizational identification-unethical pro-organizational behavior relations.
Originality/value
This study revealed that the organizational identification-unethical pro-organizational behavior link was positive, and the relationship was stronger among male participants than their female counterparts. Age and organizational tenure show no significant impact on unethical pro-organizational behavior. These contribute to The authors' understanding of organizational identification-unethical pro-organizational behavior relationship, as well as identifying its boundary conditions. The study suggests directions for future research and implications for managers and practitioners.