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Studies concentrating on digitalization and interconnected capabilities have increased over the past several decades. Digitalization capability and open innovation are perceived as sources of sustained competitiveness across disciplines. This study investigated how digitalization capability and coopetition strategy affect the sustainable performance of firms by exploring the role of internal and external factors in influencing the adoption and success of open innovation in emerging markets.

To test the hypothesis, the authors conducted a structural equation model analysis on 509 firm datasets from the hub cities in China, an innovative battlefield where multilateral cooperation and competition are interwoven for globalization, clean development and the enhancement of economic growth.

The authors found that a firm's digitalization capability positively impacts outbound/inbound open innovation, coopetition strategy and sustainable performance. This study’s results support a series of mediating effects through outbound/inbound open innovation and coopetition strategy. Also, it provides a nuanced understanding of how digitalization capability and open innovation can affect sustainable performance in emerging markets.

The present study provides a nuanced understanding of how digitalization capability and in/out-bound open innovation can affect sustainable performance in emerging markets. The authors believe this model contributes to current knowledge by filling several research gaps, and this study’s findings offer valuable and practical implications for achieving open innovation and creating sustainable performance.

The purpose of this study was to examine racial/ethnic differences in AFS use and their contributing factors using a decomposition analysis.

The 2018 National Financial Capability Study dataset was used to analyze the four major types of AFS—title loans, payday loans, pawnshops, and rent-to-own (RTO) stores—as proxies for AFS use. The study conducted both logistic regression analysis and decomposition analysis to examine the contributing factors.

The results of the logistic regression analysis demonstrated significant disparities in the use of alternative financial services (AFS) among racial and ethnic groups. Specifically, it was found that Blacks were more likely to utilize title and payday loans, pawnshops, and rent-to-own (RTO) stores compared to Whites. In contrast, Hispanics and Asians/individuals of other ethnicities were less likely to use title loans, but Hispanics were more likely to opt for payday loans over Whites. Furthermore, objective financial literacy exhibited a negative association with the likelihood of using these four types of AFS, whereas subjective financial literacy consistently showed a positive association. When examining the decomposition analyses, it became evident that both objective and subjective financial literacy played significant roles in explaining the racial and ethnic disparities in AFS usage. However, the patterns varied in three specific pairwise comparisons.

This study revealed the relative contributions of each factor to the racial/ethnic disparities through decomposition analysis. Our Fairlie decomposition approach addressed non-linearities within the decomposition framework, particularly in estimating the probabilities of AFS utilization, given its binary outcomes. This extension builds upon the Oaxaca decomposition. The study offers valuable insights into the variations in AFS use among different racial and ethnic groups.

The purpose of this study is to construct composite index variables of credit attitude using six attitudinal variables. This study also examines the relationship between consumer credit attitude and credit card debt behaviors.

This study used the pooled dataset of the 2010 and 2013 Survey of Consumer Finances (SCF) released by the Federal Reserve Board. A total of 8,417 households were used as our analytic sample. The credit card indices were constructed using factor analysis with polychoric correlations. Factors of the credit card debt behaviors were estimated using hierarchical logistic regression models.

The results of factor analysis identified two credit attitude indices (wants and needs). The results of hierarchical logistic regression analyses show that the credit attitude indices have a positive influence on payment behaviors; households with more favorable attitudes about credit use for non-necessities (wants) were more likely to hold an outstanding credit card balance, have irregular payment practice and pay a revolving charge.

Although there is ample documentation in the literature of credit behavior, the current literature is deficient in some areas for not addressing unobserved consumer attitudinal dispositions. Further, the separate treatment of selected survey items or an additive scale of survey items has been widely used; however, this approach cannot capture multidimensional characteristics among attitudinal items if credit attitude is not necessarily unidimensional. In response to the shortfall in the extant literature on credit card behavior, this study examined multidimensional aspects of credit attitude as a determinant of credit card debt behavior through methodological justification. Implications for future research and practitioners are provided.

This study examines the relationship between changes in retirement status and social support and their associations with the life satisfaction of older adults, with a focus on potential differences across income levels.

We analyzed various work-retirement pathways using retirement status data from two waves (2016 and 2018) of the biennial Health and Retirement Study. We examined the relationship between these pathways and life satisfaction, incorporating social support from close relationships, including those with a spouse or partner, children, immediate family members and friends. A subgroup analysis was performed based on household income levels.

The study found that completely or partially retired individuals reported higher life satisfaction than those who continued working. Those who had returned to work also experienced higher life satisfaction, particularly among the low-income group. Among the middle-income group, individuals transitioning toward retirement reported greater life satisfaction than those still working. Across all subgroups, closeness with a spouse or partner and having close friends were positively related to life satisfaction. However, a lack of close relationships with immediate family members was linked to lower life satisfaction in the low- and middle-income groups, though this was not found in the high-income group.

These findings have theoretical, policy, and practical implications for older populations, mainly retirees or those nearing retirement. The study suggests strategies to assist older adults in navigating diverse retirement pathways, such as fostering strong social connections and offering flexible or phased retirement programs to ease the transition.

This study aims to empirically examine the conditions for latecomers to successfully pursue path-creating catch-up strategies. In particular, the company is divided into two conditions: the external environment, which refers to the gap in the market share between the leaders and latecomers, and the internal capacities of the company, such as the company’s absorptive capacity, re-combinative capabilities and technological innovation leadership.

Because firms supported by the government tend to be conservative in their decision-making and technology development strategies, governmental assistance is likely to negatively affect path-creating catch-up strategies. This study surveyed small to medium enterprises in the Korea IT industry and analyzed the latecomers’ catch-up strategies from internal and external environment perspectives.

After ensuring its innovation capacity by developing of internal capacity, it turned out to lead to path-creative catch-up strategy and market disparity and government dependence moderates this relation. While market disparity has a positive moderation effect, government dependence showed a negative moderation effect.

The authors proposed and tested hypotheses of how a firm’s path-creative catch-up strategy is adopted and succeeds. Regarding the internal conditions, the authors statistically proved that absorptive capabilities, re-combinative capabilities and technology innovation leadership are important factors for a firm’s technology innovation capacity.

The purpose of this paper is to investigate the asset size regarding how the level of a bank’s premium asset management service interaction quality influences the referral intention using performance expectation and customer satisfaction as mediators.

The study employs data collected from an anonymous survey on 185 customers who visited the PB centers. The study employs confirmatory factor analysis methods following a path analysis and structural equation modeling for testing research hypotheses with stepwise moderating effect test.

The results indicate that superiority in interaction quality of premium asset management services has a positive influence on customer satisfaction and performance expectations, and these quality factors also show a positive influence on the intent to maintain relationships and even referral intentions. The results also show that customers with larger asset sizes only have mediocre intentions to refer bank services to people around them.

Marketing positions, which remain faithful to the asset management obligation to fulfill a stable profit rate through constant interactive processes based on a trusting relationship between the customer and dedicated staff member that forms over time, can be a basis for service quality that can secure mid-to-long-term competition superiority in financial firms that offer asset management services.

This study focuses on whether interaction factors that form the quality of services for customized premium asset management through the bank’s dedicated staff member have a positive influence on customer satisfaction and referral intentions. Based on this analysis, the authors presented strategic implications on conditions that financial firms must focus on in order to secure competitiveness.

The purpose of this study is to investigate critical factors needed for an internal environment conducive to entrepreneurial activity. Also, this study aims to suggest improved measurement items that can be applied to national corporations in the national management environment where is much interested in the implementation of corporate entrepreneurship.

In particular, by using the corporate entrepreneurship assessment instrument (CEAI) and through the Delphi and analytical hierarchy process (AHP) surveys on the group of corporate entrepreneurship experts, a comparative analysis among the emergent four kinds of types is deducted with main internal environmental factors of corporate entrepreneurship activities in South Korea.

This study contributes to the decision-making of many organizations about new business directions and success factors to gain new growth opportunities with corporate entrepreneurship activities according to each of their own internal environment status. As a result of the AHP analysis on the opportunist type, work discretion was revealed as the most significant factor. Furthermore, the avoiding identical work approach/steps, the subjective work assessment and the opportunities to practice one’s own style were all recognized as crucial enough to occupy the top to fourth place in the overall importance priority.

Academically, the local organizational environmental critical factors based on an existing CEAI were issued by allowing the AHP survey with specific scenarios per corporate entrepreneurship activity. This can be applied through various means to benefit many organizations looking for continuous growth and innovation based on corporate entrepreneurship.

Heuristics are used in the judgment and decision-making process of bank employees; however, discussions and research on the type or range of judgmental heuristics are very difficult to find throughout the world. In light of this, the purpose of this paper is to empirically analyze what types of heuristics are used in bank employees’ judgment and decision-making processes and the extent to which those types of heuristics prevent rational decision making due to the systematic biases they generate. In particular, this study aims to conduct empirical research based on various scenarios related to the banking industry.

To examine the heuristics in decision-making circumstances and the level of subsequent biases, the present study narrowed the scope of research to the three main types of heuristics introduced by Tversky and Kahneman (1974), namely, representativeness heuristics, availability heuristics and anchoring and adjustment heuristics. To analyze the bank employees’ decision making, this study specifically investigated the level of decision-making heuristics and the level of bias by focusing on these three types of heuristics. This study targeted bank employees who either sell financial products or are engaged in customer service work at a real/physical bank.

For representativeness heuristics, this study found bank employees’ judgment of probability was influenced by biases, such as insensitivity to prior probability, insensitivity to sample size, misconception of chance and insensitivity to predictability. Regarding availability heuristics, it found that bank employees judge the probability of events based on the ease of recalling an event instead of the actual frequency of the event, and so they fall prey to systematic biases. Finally, regarding anchoring and adjustment heuristics, this study found that employees fall prey to judgment biases as they judge the probability of conjunctive events and disjunctive events based on anchoring and insufficient adjustment.

Although people who are well-trained in statistics can avoid rudimentary errors, they fall prey to biased judgment at a similar level to those who are not properly trained in statistics when it comes to more complicated and ambiguous issues. It clearly indicates that it is risky to determine that financial experts would be more rational than the general public in making various judgments required in the policy-making process. To conclude, it is imperative to recognize the existence of heuristics-based systematic biases in the judgment and decision-making process and, furthermore, to reinforce the education and training system to improve bank employees’ rational choice and judgment ability.

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.

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.

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.

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.

This study aims to draw on Piaget’s theory of assimilation and accommodation (absorptive capacity) as having mediating roles to examine the effect of motivational factors in entrepreneurship education on entrepreneurial intention among engineering students. In addition, this relationship is analyzed along with the moderating effect of the home environment.

The structural equation model was applied to a sample of university students (736 respondents) engaged in an entrepreneurship education program in South Korea.

The findings highlight that the motivations of personal achievement, social welfare and social relationship were associated with assimilated students, and the motivations of personal achievement and cognitive interest were associated with accommodated students fostering entrepreneurial intention in their entrepreneurship education.

This finding contributes to the theoretical implications of absorptive capacity (assimilation and accommodation) in the learning process and has wider practical implications for course instructors in educational institutions who wish to promote the effectiveness of developing entrepreneurship knowledge and skills among engineering students.