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This article aims to explore the connections between tacit knowledge management and the capacity to create new products and services for stimulating organizational performance.

This research utilizes a questionnaire-based study and 378 questionnaires gathered from different provinces of China between August and October 2022. The SmartPLS technique was used to evaluate the regression and mediation analysis on lower-order and higher-order components of the research hypotheses behind the model.

This investigation's results indicate that the tacit knowledge management process (TKMP) significantly drives product and service innovation and impacts organizational performance (ORP). According to the results, TKMP did not directly influence ORP and product innovation to mediate between Tacit knowledge and organizational performance.

Future research should concentrate on different combinations of influences on innovation and other consequences of introducing innovation into businesses. Moreover, researchers may add moderators to innovation and organizational performance.

This study assists managers in how tacit knowledge management affects organisational performance by examining product/service innovation capabilities. Product innovation also mediates between tacit knowledge and organizational performance. Service innovation improves organizational performance, prioritizing knowledge creation, sharing and retention to increase innovation and organizational success.

This study contributes to the literature on tacit knowledge management, innovation capability and organizational performance by concentrating on the tacit knowledge process and using the resource-based view. This study gives a solid theoretical and practical basis for understanding the component interactions.

Knowledge management (KM) is a process that depends on changes and transfers to different levels of understanding among individuals and acts as a powerful tool to strengthen the organization to remove the barriers, affect the decision-making process and enable individuals and organizations to achieve sustainable advantages. This study aims to explore the role of digitization on knowledge conversion modes and its subsequent impact on related outcomes with reference to higher education institutions (HEIs). Prospects and paradigms of digitation for HEIs have also been explored.

The systematic review method has been used to organize and analyze the existing literature on digitization, knowledge conversion and related outcomes with reference to HEIs. To increase the scope of the research, the authors anticipated 30 research articles published between 2010 and 2022 in Google Scholar, Scopus, ProQuest and EBSCO databases. The study used PRISMA to conduct a systematic literature review. The study used “knowledge conversion, “SECI model,” “Digitalization” and “Higher education institutions” keywords to search the most suitable articles. To ensure the quality of this research, the study used quality journals.

The increasing significance of knowledge-building practices and a technology-driven environment insinuates the adoption of information and communication technology (ICT)-enabled equipment and devices to transfer knowledge, which further leads toward enhancing the effectiveness of education. This study offers a review of enabling factors based on Nonaka and Takeuchi’s (1995) knowledge spiral and provides an in-depth insight into the significance of digitization for the higher education sector.

The study’s main contribution was to explore the interrelationship among digitization, knowledge conversion and outcomes. Both technological and non-technological/conventional interventions have been discussed with reference to teaching and knowledge dissemination patterns based on Nonaka’s (1994) Socialization, Externalization, Combination, and Internalization (SECI) knowledge spiral.

The authors synthesize the previous literature research dimensions and recommend future research.

The objective of the present study was to investigate the impacts of familiarity with and awareness of Florida as a snowbird destination, and satisfaction with the snowbird experience on Florida's image and on snowbirds' permanent relocation intention to Florida. Additionally, the influence of Florida's image on snowbirds' behavioral intention to move to Florida permanently was investigated.

Data gathered from 304 snowbirds were utilized in employing structural equation modeling to assess the research model.

The study results showed that awareness of and familiarity with Florida as a snowbird destination, and satisfaction with the snowbird experience significantly influenced participants' image perceptions of Florida. In addition, awareness of and familiarity with Florida as a snowbird destination, and participants' image of Florida had a significant influence on snowbirds' intentions to move to Florida permanently.

The findings of the study provide significant insights for destination marketing and management organizations and local policymakers in formulating and enacting policies in snowbird destinations to efficiently address migration trends.

This study is one of the first papers to empirically investigate and successfully construct a comprehensive model that explicate the determinants of snowbird tourists' permanent relocation intention.

In business-to-business interactions, conflicts are inevitable, and conflict-handling strategies that consider different variables improve the decision-making process of actors. This study aims to reveal the role of power and criticality in conflict-handling research in logistics service networks.

A 2 × 2 between-subject experimental design with four different scenarios was used. One hundred sixty logistics service actors completed an online questionnaire. Data were analyzed with ANOVA and paired sample t-tests using the SPSS 28.0 program.

In comparative scenarios involving high and low power dynamics, individuals with high power and high criticality situations are more inclined to favor the dominating strategy compared to low-power and low-criticality contexts. However, when faced with specific circumstances characterized by both high power and high criticality, actors tend to prioritize the integrating strategy initially, followed by the dominating and obliging strategies in that order. Notably, the statistical analysis revealed no significant interaction effect between criticality and power concerning the integrating, obliging and dominating conflict-handling strategies.

This study used an experimental approach to investigate criticality and power as contextual elements in determining conflict-handling strategies in an inter-firm environment within logistics service networks. This study is particularly groundbreaking in its knowledge of the relationship among power dynamics, conflict criticality and conflict-handling strategies.

The slow food movement has become increasingly widespread globally in recent years. This paper focuses on explaining how Turkish cuisine, which has a deep-rooted history, meshes with the slow food movement and how this movement affects consumer behavior.

Based on expert opinion analysis with academics knowledgeable about the food industry and gastronomy, this paper explores how the slow food movement in Turkiye is evolving and how consumers perceive it. Content analysis was applied to the data obtained from the personal interviews.

The authors find that the slow food movement creates a strong brand image for businesses that rely on emphasizing the responsibility to the ecological system while appealing to the five senses of consumers. It already shows great potential even in emerging markets where typical household discretionary income is modest.

Based on key theories regarding all sales activism cases, the authors have offered insights into the dynamics, motivations and techniques of the case. Ensuring the preservation of the slow food movement, framing and creating associations need to be examined.

Slow food is a movement that emerged against the standard, fast, tasty, but unhealthy products of the fast-food industry. It entails product variety, local flavors and preference for the single-flavor focus embedded in the fast-food movement. The movement started with considerations of gastronomy and later was institutionalized as a social movement phenomenon. Later, it expanded its base to activism, targeting various social issues.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.