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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.

This study investigates the key factors that influence customer satisfaction when interacting with augmented reality shopping assistance applications (ARSAPs). ARSAPs grant consumers the capability to experience products in a virtually simulated user environment before product acquisition. With the development of mobile e-commerce due to breakthroughs in smartphone and augmented reality (AR) technologies, there is an increasing potential for these emergent AR mobile services, yet there is a need for further improvement.

This study initially explored the key satisfaction factors for ARSAPs by utilizing topic modeling of a collection of actual user reviews. These factors are subsequently revisited and complemented by existing literature, and finally verified through logistic regression analysis supported by sentiment analysis.

This study identified the key factors that influence customer satisfaction with ARSAPs, including visuality, sense of reality, credibility, format, completeness, understandability, relevance, flexibility, response time, reliability, availability, ease of use and privacy. In particular, two additional factors (i.e. visuality and sense of reality) were newly identified as important in the context of AR, despite their previous omissions in existing literature.

This study is the first to investigate the key factors that influence customer satisfaction with ARSAPs from users' perspectives, utilizing topic modeling of a large amount of real-world data on actual user feedback. By identifying new factors (i.e. visuality and sense of reality) that were not identified in previous literature, this study provides important academic implications for a broader understanding of AR and related technologies that are essential elements of the metaverse. This study also provides valuable insights for developers and companies in the e-commerce industry on how to optimize AR applications and develop more targeted and effective marketing strategies in this field.

The purpose of this paper is to advance our understanding of international crisis mediation by introducing and examining the nested insider-partial mediator (NIPM) concept, a nuanced perspective on IPM behavior. This study challenges the traditional view of effective mediators as external, unbiased entities by delving into the behavior and contribution of mediators who are deeply embedded in the conflict environment, such as South Korea’s unique position in navigating the US–DPRK crisis in 2017–2018. By analyzing South Korea’s dual role as mediator and negotiator and its employment of both nondirective and directive mediation strategies, the paper demonstrates the potential effectiveness of NIPMs in managing complex biases and contributing to de-escalation in intense crisis scenarios.

This paper uses a focused single-case study approach to analyze South Korea’s role as an NIPM. Using a process-tracing methodology, it examines how contextual factors such as relationships, interests and inherent biases influenced South Korea’s mediation strategies in this complex geopolitical scenario. Empirical evidence was retrieved from public sources, including official statements and press interviews, providing an empirical foundation for understanding NIPM behavior. This approach facilitates a detailed study of South Korea’s unique mediation role within the intricate dynamics of the Korean Peninsula conflict.

The study’s findings illustrate the pivotal role NIPMs can play in complex international conflicts, underlining the significant potential of NIPMs in crisis prevention. The findings highlight South Korea’s adept navigation through intricate geopolitical dynamics, leveraging its unique insider position and established relationships with both the USA and North Korea. This behavior was instrumental in mitigating a potentially explosive situation, steering the crisis toward negotiation and de-escalation. The research underscores the effectiveness of the NIPM framework in understanding the nuanced behavior of mediators who are deeply integrated into multi-level conflicts, influenced by their connections, interests and inherent biases.

This research not only broadens the theoretical framework of insider-partial mediation by introducing the concept of NIPM, but also has practical implications for policymakers and practitioners in leveraging regional mediation strategies for international crisis mitigation. The study underscores the importance of mediators’ deep-rooted connections, biases and vested interests in influencing their mediation tactics, thus offering a comprehensive understanding of the multifaceted nature of international mediation in complex geopolitical conflicts.

As emerging scholars of color with transnational backgrounds, we collectively recount our socialization experiences in US higher education institutes. We explore moments of betweenness as catalysts for envisioning a more inclusive academia that operates beyond the tokenism of diversity.

Employing betweener autoethnography (Diversi and Moreira, 2018), we inquire into the sense of impasse encountered by South Korean female emerging scholars in the field of education in becoming an outsider within the academic system.

Chronicling our shifts in perspectives of our positionality, we interweave inquiries motivating us to challenge normative pressures and map our betweener experiences onto the Wiedman and DeAngelo’s (2020) socialization model. Through this process, we wedge open in-between spaces in the socialization process that accommodate the nuanced positionality of transnational scholars.

Integrating postcolonial critiques on the Western-centric meritocratic academia, this piece sheds light on the complexity and fluidity of emerging transnational scholars’ socialization processes. The thick, nuanced description deepens the understanding of the complexity of their identity negotiation within the dominant logics of academia. Our inquiries interwoven through betweener autoethnography serve as guidance for mentoring international graduate students and transnational scholars.

While prior studies have explored the relationship between visual appeal and purchasing decisions, the role of bookmarking has largely been underemphasized. This research aims to address this gap by focusing on the impact of bookmarking on consumer behavior, guided by the cognitive load theory and dual-system theory.

The authors executed a controlled experiment and analyzed the results using a two-stage regression method that linked visual appeal, bookmarking and purchase intent. Further empirical analysis was conducted to authenticate the authors' proposed model, utilizing real-world mobile commerce data from a clothing company.

This study's findings suggest that visual appeal influences purchase intent primarily through the full mediation of bookmarking, rather than exerting a direct influence. Furthermore, an increase in colorfulness corresponds positively with visual appeal, while visual complexity exhibits an inverted U-shaped relationship with it.

This study provides novel insights into the choice-set formation process through the theoretical lens of dual-system theory. Additionally, the authors employed an image processing technique to quantify a product's visual appeal as depicted in a photograph. This study also incorporates a comprehensive econometric analysis to connect the objective aspects of visual appeal with subjective responses.

This study investigates how the introduction of a stricter loss carryforward offset rule affects firms' innovation.

This study investigates the overall impact of a Korean tax reform that introduced a tighter loss deduction through a difference-in-differences approach and regression discontinuity design.

This study finds that firms subject to the more restrictive tax loss offset provisions tend to file fewer patents than firms not subject to the provision. The authors further find that this effect is more pronounced for firms with high R&D intensity, more investment opportunities and weaker monitoring mechanisms.

The results of this study suggest that more restrictive loss carryforward provisions may deter firms from innovation. This study contributes to the literature on the impact of tax loss rules, the effect of tax policies on investments and the real effects of corporate taxation.

This study sheds light on the debate of the consequences of a Korean tax reform. Specifically, the authors examine whether a stricter tax loss offset policy indeed dampens corporate innovation.

This study exploits a unique and infrequent exogenous tax policy change. The South Korean tax reform creates a treatment group of large firms that were affected by the tax reform, and a control group of small and medium-sized firms that were unaffected. This study takes advantage of this setting to examine the research question.

This study aims to understand how brand personality affects purchase intention through brand love and perceived quality in e-commerce.

Three hundred forty-eight users of e-commerce sites in New Delhi, India, were surveyed for the study. The data set was examined using confirmatory factor analysis, and the research hypotheses were assessed using structural equation modeling.

Two important conclusions emerged from the study. First, brand love and perceived quality have been considerably and favorably influenced by all six dimensions of brand personality of e-commerce brands. Second, the purchase intention toward the e-commerce sites is significantly and positively impacted by brand love and perceived quality.

This study by exploring various dimensions of brand personality, will assist e-commerce executives in increasing purchase intention toward the e-retailing sites.

This research is supposed to be the foremost to look at how brand personality, through brand love and perceived quality affects purchase intention toward e-commerce websites. The attachment theory is used in this study as a theoretical foundation for linking e-commerce brand personality to customers’ purchase intentions via brand love and perceived quality.

The purpose of the paper is to assess the systemic risk in the new energy stock markets of China.

This paper first uses the VaR method to study individual stock market risks. It then introduces the DCC model to capture the dynamic conditional correlation among the new energy stock markets.

The paper shows a generally upward trend of the stock market risk over time in the recent decade. Among all the markets considered, the solar power market demonstrates the highest risk, closely followed by the wind power market, while the hydropower market exhibits the lowest risk. Furthermore, the average dynamic conditional correlations among the new energy markets stay high during the period under investigation though daily correlations vary and significantly declined in 2020.

To the best of the authors’ knowledge, this paper is the first of its kind to study the systemic risk within the new energy stock market context. In addition, it not only investigates individual new energy stock market risks but also examines the dynamic linkages among those markets, thus providing comprehensive and unprecedented evidence of systemic risk in China new energy markets, which have useful implications for both regulators and investors.

The crude oil market plays a key role in addressing the issue of energy economics. This paper aims to detect the causality relationship between the crude oil market and economy based on the financial system.

This paper used the static and dynamic Hatemi-J Bootstrap Toda–Yamamoto and Diebold–Yilmaz connectedness index. The Hatemi-J Bootstrap Toda-Yamamoto approach allows researchers to use nonstationary data and that method is robust to nonnormal distribution and heteroscedasticity. The Diebold–Yilmaz connectedness index model provides researchers to detect the power of connectedness besides linkage direction. The analyzed period is the span from January 3, 2005 to October 3, 2022.

The results show bidirectional causality in the full sample but unidirectional causality before and after the 2008 financial crisis. During the 2008 financial crisis period and the COVID-19 period, there was a bidirectional and unidirectional causality, respectively. The connectedness approach indicates that the crude oil market affects financial stress through investors’ risk preferences.

The Diebold–Yilmaz spillover index model is based on vector autoregression methods with a stationarity precondition. However, some of the five dimensions that constitute the financial stress index (FSI) are nonstationary in level. Therefore, the authors takes the first difference of the nonstationary data.

The linkage between the crude oil market and the FSI provides useful information for investors and policymakers. For instance, this paper indicates that an investor wanted to forecast future value of the crude oil (financial stress) should consider the current and past values of financial stress (crude oil). Moreover, policymaker should consider the crude oil market (FSI) to make a policy proposal for financial system (crude oil market).

Recently, indicators of economic activity levels (economic policy uncertainty, implied volatility index) have begun to be considered to analyze the relationship between energy and the economy but very little is known in the literature about the leading and lagging roles of data in subsample periods and the linkage channel. The other originality of this research is using the new econometric approaches.

In this paper, the authors present an empirical framework that incorporates different factors of the impact of COVID-19 on small- and medium-sized enterprises (SMEs) in La Rioja, Spain, in relation to the value chain, gender and family business and allows the evaluation of these impacts on the SMEs' outcomes.

The authors conduct exploratory research based on phone interviews with 329 business managers from SMEs in La Rioja (Spain), from June 1 to June 30 2021, using ordinary least squares linear regression and matching procedures to test the study hypotheses.

The results show that the impact of COVID-19 related to primary activities in adding value, such as inbound logistics, operations and marketing, have a positive influence on innovation outcomes in SMEs, as do female managers. Family SMEs present poorer innovation outcomes.

At the organizational level, this paper may be of interest to management, and at the national and regional levels to policymakers, since it could help to develop policies that support SMEs' sourcing, operations and marketing in order to prepare for potential value chain disruptions. Additionally, this research may help decision-makers to foster and promote innovation in SMEs as a way of ensuring their resilience.

In this paper, the authors provide novel evidence about the effect of COVID-19 in SMEs. Moreover, it has been shown that the COVID-19 pandemic has triggered the redefinition of supply chains at the organizational level.