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This paper aims to explore the relationships between participants’ perceived benefits of sharing knowledge privately, within a group or with the general public within an organisational knowledge network. The quality and quantity of knowledge shared are explored in relation to the level of knowledge sharing visibility (both content and participants’ profiles).

A research framework of perceived benefits of knowledge sharing is designed; survey and content analysis are used to explore influences of perceived benefits on the quantity and quality of knowledge shared by participants for each level of knowledge sharing within an organisation. The research model is empirically tested using a questionnaire survey with 205 participants and content analysis of their contributions in a high-tech corporate group. This study uses the partial least squares path-modelling method to explore relationships between constructs of the research model.

The current research results show that intrinsic benefits are more influential than extrinsic benefits for private knowledge sharing, while extrinsic rewards play an important role at the public knowledge sharing within organisations. In addition, results indicate that both the quality and quantity of knowledge sharing at the group-level knowledge sharing are significantly higher than at the private and the public levels.

Contemporary knowledge management systems are developed by integrating communication channels in different visibility levels of knowledge exchange. Managers of knowledge management systems are advised to use the research outcome for developing incentive strategies in different levels.

In contrast to previous studies that focus on only one level of knowledge sharing, this paper explores relationships between perceived benefits of knowledge sharing with the quantity and quality of shared knowledge for three distinct levels of knowledge sharing.

This paper aims to explore participants’ perceived benefits and costs that influence the quantity and the quality of voluntary participation in knowledge networks in a resources-constrained economy.

A conceptual model of perceived benefits and costs of knowledge sharing is designed on the basis of literature. The influence of perceived benefit and cost on perceived quantity and quality of knowledge sharing are assessed on the basis of a survey with 283 participants in a business context within a resource-restrained economy.

The results indicate that reputation, reciprocity and altruism are perceived to benefit quantity of participation, whereas reciprocity, altruism and knowledge self-efficacy are perceived to benefit the quality of participation in knowledge networks. Effort and time have a negative impact on both quantity and quality of participation in knowledge sharing.

This study provides insights into the factors that influence acceptance and use of knowledge networks and can thus influence business policies.

This exploratory study explores both perceived benefits and costs of participation in knowledge sharing in a resource-constrained economy.

Traditionally, the banking and financial sectors have pioneered adoption of new technologies and business models. One important digital banking model that has proven its efficacy in recent times, is Digital-Only Banking (DOB) where consumers interact with their banks through digital channels only. Having detailed knowledge of what actually happens at the consumer level during the adoption of new digital models and technologies is paramount to the success of these technological initiatives. The present study aims to investigate DOB adoption behavior and possible barriers using a quantitative approach at the consumer level. A conceptual model is developed by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model, incorporating Trust (TR), Perceived Risk (PR) constructs and cultural moderators of Individualism (IDV) and Uncertainty Avoidance (UA).

For this study, an online survey instrument was created and administered in Iran. The research sample was selected through the application of purposive sampling. Data from 788 respondents were analyzed. The proposed model was tested using Partial Least Square.?.s Structural Equation Modeling (PLS-SEM).

The results show that DOB adoption is positively influenced by Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC), while PR negatively influences DOB adoption intention. Unexpectedly, the results indicate that TR has no significant impact on DOB usage intention. Additionally, this study demonstrates that with individuals having a low level of IDV, the relationship between PE and BI is stronger, and with individuals having a low level of UA, the impact of SI on BI is stronger. It also reveals that the impact of TR on BI is stronger in low individualistic cultures.

DOB providers should enhance support features of their services or provide facilities that make it simpler for users to accomplish online transactions. Here, in order to improve the UI/UX design of their apps, DOB product managers should carefully observe the technical guidelines of the operating systems of digital devices, such as the Human Interface Guidelines (HIG) for iOS and Material You for Android. Additionally, DOB providers should build partnerships with mega online retailers to provide hassle-free and easy to use payment solutions for consumers.

DOB, as a novel and business model, has been investigated in very few studies, especially regarding any which focus on its adoption. To fill this gap, this research investigates DOB adoption through a modified version of the UTAUT model. The findings of this study suggest that future research regarding DOB should consider sources of TR, types of non-adopters, and context. This study, as the first of its kind in DOB literature, also highlights the significant role played by cultural values in customer behavior regarding DOB adoption.

With the advent of digital platforms, entrepreneurs have been able to communicate and share information in visible environments. By focusing on the visibility aspect of digital platform in a resource-constrained economy, this study aims to propose a conceptual model for exploring entrepreneurial opportunity identification. Furthermore, this study delves into the moderating influence of entrepreneurial alertness on opportunity recognition.

A research model is constructed using the theory of communication visibility to investigate how message transparency and network translucence affect the identification and development of entrepreneurial opportunities, with additional exploration of the moderating influence of entrepreneurial alertness. A questionnaire survey is conducted with 152 Iranian founder-entrepreneurs to test the proposed conceptual model. The research model’s constructs are analyzed using the partial least squares structural equation modeling method.

The results confirm that communication visibility impacts both aspects of entrepreneurial opportunity identification. In addition, this study reveals the distinctive moderating effects of entrepreneurial alertness on the relationship between message transparency and the creation and discovery of entrepreneurial opportunities, while finding no significant effect on network transparency and opportunity identification.

This paper stands out for its originality in collecting data from an emerging market. Besides, it explores the association between entrepreneurs’ communication dimensions and the recognition of new opportunities at the intersection of digital platforms and entrepreneurship literature. Furthermore, it empirically illustrates the moderating role of entrepreneurial alertness in the relationships between communication visibility and opportunity identification, contributing significantly to existing research.

This research aims to fill the research gaps regarding customer preferences for digitalisation to create value for retailers and customers, as well as focus on retail change and shopping behaviour in grocery retail stores in the emerging market.

This paper contributes to the research in this area by evaluating customers' and retailers' attitudes towards digital transformation in retailing through interviews. Methodologically, 200 questionnaires were gathered, and data were analysed with the partial least squared structural equation modelling method.

The findings of this study reveal that the effect of digital transformation in the retail industry will be more apparent in an emerging market.

The paper's originality consists in understanding the future retail structure in an emerging market. Notably, focussing on business-to-consumer businesses appears helpful in distinguishing between behavioural (buying) intention and online buying behaviour (actual usage) in an emerging market.