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The scholarly discourse concerning the significance of relational embeddedness within multinational corporation (MNC) subsidiaries has reached a stage of maturity, albeit with fragmentation. In light of this, this paper aims to delineate hot topics that can serve as a promising research trajectory for future investigations into the phenomenon of relational embeddedness in MNC subsidiaries.

Through a systematic literature review, the authors examined 66 articles published between 1998 and 2022, sourced from two prominent databases: Scopus and Web of Science. To ensure the rigor of the investigation, the authors specifically focused on articles published in journals accredited with a minimum two-star rating according to the ABS (2021) criteria.

In the systematic review, the authors delineated four principal themes addressed in the literature concerning subsidiaries and relational embeddedness. Within these themes, the authors identified five underexplored research avenues that hold promise for future studies on relational embeddedness within the context of subsidiaries: (a) the question of the dark side of relational embeddedness, (b) the development of a global construct for relational embeddedness, (c) understanding how the social factors of relational embeddedness relate to each other, (d) the gains that local partners have in developing relational embeddedness with subsidiaries of foreign MNCs and how this relationship is moderated by the institutional environment and (e) the impact of internal.

While this study drew upon two major databases, future researchers are encouraged to explore alternative repositories to ensure the thoroughness of the findings. Another limitation of this study pertains to the chosen set of keywords, which did not encompass literature on innovation collaboration or knowledge flows within foreign subsidiaries. These areas are interconnected with the knowledge management literature and relational embeddedness, warranting attention in future investigations.

The managerial insights cater to two distinct cohorts: multinational subsidiary managers, equipping them with insights into leveraging relational strategies effectively and managers of partner companies, facilitating informed decision-making in optimizing access to subsidiary knowledge and resources.

In addition to facilitating the consolidation of fragmented literature, this study has identified five theoretical gaps that remain insufficiently explored within research utilizing the relational embeddedness framework in the context of MNC subsidiaries. Consequently, this research serves as an inaugural step for future investigations, elucidating specific avenues ripe for further exploration in the field.

The purpose of this study is to prepare trivalent chromium conversion (TCC) film on the Zn-Ni electrodeposited film on the surface of 2024 aluminum alloy and to ensure that the TCC film has good corrosion resistance and electrical conductivity.

The morphology of the TCC film was studied by scanning electron microscopy, and the elemental composition of the TCC film was characterized by X-ray energy dispersive spectroscopy. The TCC film was tested and the roughness was analyzed by 3D morphology (white light interference). The electrochemical behavior and corrosion resistance of TCC films were studied by the Tafel polarization curve and electrochemical impedance spectroscopy, and the conductivity was tested.

The TCC films were uniformly black and bright in appearance and were mainly compounds of Zn, Ni and Cr with O. The electrochemical impedance of the TCC film is larger than that of the Zn-Ni film, the corrosion current (I_corr) is smaller than that of the Zn-Ni film and the corrosion potential (E_corr) is larger than that of the Zn-Ni film, which has excellent corrosion resistance. TCCs were performed on the appropriate size of the shell sample, and the resistance of the shells was 1.5 mVDC, which meets the total resistance requirements of the test standard for composite connector accessories.

In this study, TCC film was successfully prepared on the Zn-Ni coating on the surface of 2024 aluminum alloy. The TCC film has good corrosion resistance and electrical conductivity.

This paper aims to explore the intersection of artificial intelligence (AI) and marketing within the context of knowledge management (KM). It investigates how AI technologies facilitate data-driven decision-making, enhance business communication, improve customer personalization, optimize marketing campaigns and boost overall marketing effectiveness.

This study uses a quantitative and systematic approach, integrating citation analysis, text mining and co-citation analysis to examine foundational research areas and the evolution of AI in marketing. This comprehensive analysis addresses the current gap in empirical investigations of AI’s influence on marketing and its future developments.

This study identifies three main perspectives that have shaped the foundation of AI in marketing: proxy, tool and ensemble views. It develops a managerially relevant conceptual framework that outlines future research directions and expands the boundaries of AI and marketing literature within the KM landscape.

This research proposes a conceptual model that integrates AI and marketing within the KM context, offering new research trajectories. This study provides a holistic view of how AI can enhance knowledge sharing, strategic planning and decision-making in marketing.

This study aimed to improve understanding of the phenomenon of food well-being (FWB) (conceptualization, measurement, antecedents and outcomes) so as to lead future empirical work on measurement, development and theory testing. The hope is to improve the societal benefits of FWB and sustainable food system transformation.

A domain-based systematic review of FWB was conducted using databases (Web of Science, ABI/INFORM, EBSCO and Scopus). The well-established theory, context, characteristics and methodology framework were used to structure the review.

This study synthesized conceptual definitions and measurements of consumer FWB from hedonic, eudemonistic and mixed research streams and a nomological network that distinguishes this construct from its antecedents and outcomes.

This study provides recommendations for consumers, food designers, retailers and policymakers to improve FWB.

This study assessed the conceptualizations of FWB from hedonic, eudemonistic and mixed perspectives for conceptual clarity. It summarized ten measurement tools for FWB-allied concepts (Well-being Related to Food Questionnaires, Satisfaction with Food-Related Life Scale and World Health Organization-Five Well-Being Index), which revealed the need for novel measurement. This study developed a holistic nomological network of FWB by identifying the categories of antecedents (food-related, consumer-related and contextual factors) and outcomes (general well-being, life satisfaction and food consumption). This study provides a research agenda for FWB measurement and theoretical development.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

This paper aims to put forth the proposition that the concept of hospitality is broader than what is often acknowledged in academic research. Specifically, this paper establishes hospitality as a fundamental human virtue. Accordingly, all people are proposed to exhibit daily actions associated with this virtue – albeit to varying degrees. A conceptual and operational definition of hospitality virtue is proposed.

Churchill’s (1979) construct development process is used to operationalize the hospitality virtue construct. Item generation, exploratory factor analysis and confirmatory factor analysis are used to establish an operational definition for the construct.

The results indicate that hospitality virtue is a second-order construct consisting of three dimensions: empathy, execution and embrace. This specification is referred to as the E³ hospitality virtue scale. As evidence of the nomological validity of this scale, the construct is demonstrated to have a positive impact on human flourishing.

To date, the vast majority of hospitality research has been conducted at the industry level. This research has the potential to break down the industry barriers that have constrained the broader impact of hospitality research and practice at the human and societal levels.

To the best of the authors’ knowledge, this is the first study to empirically consider hospitality not as an industry-level phenomenon, but as a fundamental part of the human condition. While there is evidence for this idea throughout the history of philosophy, this paper is the first to lend an operational structure to this concept.

Social media-induced fatigue has received much attention in recent years. Although studies have discussed the association between related stress and fatigue, few studies have analyzed the media characteristics corresponding to social interaction stress and their effects on fatigue from the perspective of social relations and interaction structure. This paper aims to explore the association between network heterogeneity, social stressors and fatigue from the perspective of a person-environment misfit.

The survey data of 402 social media users were analyzed, and hierarchical regression models were used to validate the proposed theoretical model.

Data analysis showed that supplementary misfits (network heterogeneity) and complementary misfits (information overload and role conflict) positively affect fatigue. Additionally, supplementary misfits can indirectly affect fatigue through complementary misfits. The analysis results also confirmed the positive moderating effect of the relationship climate between network heterogeneity and role conflict. However, the quality of information does not reduce the impact of network heterogeneity on information overload.

This study reveals the mechanisms affecting user fatigue due to a lack of match with the environment. It also provides evidence of stress self-regulation among social media users and suggests how managers can help alleviate it.

The exchange rate is an important driver of a country’s economic growth, influencing trade, investment, inflation, and employment. This study’s main objective was to investigate the threshold effects of exchange rates on economic growth.

In this research, innovative endogenous threshold autoregressive (TAR) models introduced by Hansen (2000) are employed for estimation and inference. The dataset comprises secondary annual time series data from Ghana, covering thirty-one years from 1990 to 2021. Economic growth is represented by GDPPC, with the growth exchange rate serving as the crucial threshold variable.

The finding suggests a single exchange rate threshold for Ghana, indicating a nonlinear relationship with economic growth. However, above 8.97%, the exchange rate considerably slows growth, harming the economy. The exchange rate negatively influences growth in both low and high-exchange-rate regimes, but it is insignificant in the high regime. In addition, inflation has a significant negative influence on growth in the low regime but a positive impact on the high regime. In contrast, interest rates positively impact growth in both regimes, though not as significantly in the high regime.

The findings from this study offer valuable insights to the Ghanaian government and policymakers as they consider choosing an exchange rate target that helps minimise the negative impact of a high exchange rate to promote economic growth.

This paper is remarkable for being one of the few studies that have explored the relationship between exchange rates and economic growth, exploring the threshold effect.

Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

The emergence of social media platforms has revolutionized how brands develop partnerships with social media influencers (SMIs). However, users are seeking more meaningful engagement with SMIs, and little is known about how brands can shift their focus from transient engagements to continued engagement that builds long-term brand–consumer relationships. Extant research has provided inconsistent findings regarding consumer engagement behavior. To address this knowledge deficit, we contribute to the consumer engagement literature by developing and testing a conceptual model that explores and explains the relationships between the factors that influence continued engagement intention (CEI), a form of behavioral intention.

A literature review was conducted to identify gaps and develop a theoretically informed conceptual model and hypotheses. Survey data from 604 Instagram SMI followers were analyzed using partial least squares structural equation modeling using SmartPLS 3.3.3 to assess the structural model relationships and conduct post hoc analysis.

The findings suggest that it is important to positively influence consumer responses to elicit CEI. Furthermore, homophily attitudes toward SMIs moderate the relationship between SMI experience and CEI.

Brands must work with SMIs to create positive SMI experiences and develop CEI. Furthermore, SMIs should focus on brands that fit their lifestyles to enhance homophily attitudes and forge CEI.

This study contributes to the literature by combining social exchange and flow theories to develop and test a holistic framework for examining CEIs regarding SMIs and brands. The findings show that creating positive SMI experiences benefits brands seeking CEI.