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    āļ›āļąāļˆāļˆāļąāļĒāļ—āļĩāđˆāļĄāļĩāļ­āļīāļ—āļ˜āļīāļžāļĨāļ•āđˆāļ­āļžāļĪāļ•āļīāļāļĢāļĢāļĄāļāļēāļĢāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āļ‚āļ­āļ‡āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„āđƒāļ™āđ€āļ‚āļ•āļāļĢāļļāļ‡āđ€āļ—āļžāļĄāļŦāļēāļ™āļ„āļĢ

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    āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ™āļĩāđ‰āļĄāļĩāļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ›āļąāļˆāļˆāļąāļĒāļ—āļĩāđˆāļĄāļĩāļ­āļīāļ—āļ˜āļīāļžāļĨāļ•āđˆāļ­āļžāļĪāļ•āļīāļāļĢāļĢāļĄāļāļēāļĢāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āļ‚āļ­āļ‡āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„āđƒāļ™āđ€āļ‚āļ•āļāļĢāļļāļ‡āđ€āļ—āļžāļĄāļŦāļēāļ™āļ„āļĢ āđ‚āļ”āļĒāļĄāļĩāļ‚āļ™āļēāļ”āļ‚āļ­āļ‡āļāļĨāļļāđˆāļĄāļ•āļąāļ§āļ­āļĒāđˆāļēāļ‡ 405 āļ„āļ™ āļœāļĨāļāļēāļĢāļ§āļīāļˆāļąāļĒāļžāļšāļ§āđˆāļē āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„āļŠāđˆāļ§āļ™āđƒāļŦāļāđˆāđ€āļ›āđ‡āļ™āđ€āļžāļĻāļŦāļāļīāļ‡ āļ­āļēāļĒāļļāļĢāļ°āļŦāļ§āđˆāļēāļ‡ 28 - 32 āļ›āļĩ āļŠāļ–āļēāļ™āļ āļēāļžāđ‚āļŠāļ” āļĢāļ°āļ”āļąāļšāļāļēāļĢāļĻāļķāļāļĐāļēāļ›āļĢāļīāļāļāļēāļ•āļĢāļĩ āļ­āļēāļŠāļĩāļžāđ€āļ›āđ‡āļ™āļžāļ™āļąāļāļ‡āļēāļ™āļšāļĢāļīāļĐāļąāļ—āđ€āļ­āļāļŠāļ™ āđāļĨāļ°āļĄāļĩāļĢāļēāļĒāđ„āļ”āđ‰āđ€āļ‰āļĨāļĩāđˆāļĒāļ•āđˆāļ­āđ€āļ”āļ·āļ­āļ™āļ­āļĒāļđāđˆāđƒāļ™āļŠāđˆāļ§āļ‡ 20,001 – 40,000 āļšāļēāļ— āļĢāļđāđ‰āļˆāļąāļāļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ āđāļĨāļ°āđ€āļ„āļĒāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„āļ—āļĩāđˆāļĄāļĩāļĢāļ°āļ”āļąāļšāļāļēāļĢāļĻāļķāļāļĐāļē āļ­āļēāļŠāļĩāļž āđāļĨāļ°āļĢāļēāļĒāđ„āļ”āđ‰āļ—āļĩāđˆāđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™ āļĄāļĩāļžāļĪāļ•āļīāļāļĢāļĢāļĄāļāļēāļĢāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āļ—āļĩāđˆāđāļ•āļāļ•āđˆāļēāļ‡āļāļąāļ™āđƒāļ™āļ”āđ‰āļēāļ™āļ„āļ§āļēāļĄāļ•āļąāđ‰āļ‡āđƒāļˆāļ‹āļ·āđ‰āļ­āđāļĨāļ°āļ„āļ§āļēāļĄāđ€āļĢāđ‡āļ§āđƒāļ™āļāļēāļĢāļ•āļąāļ”āļŠāļīāļ™āđƒāļˆāļāđˆāļ­āļ™āļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ āļ™āļ­āļāļˆāļēāļāļ™āļĩāđ‰ āļˆāļēāļāļœāļĨāļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒ Multiple linear regression āļžāļšāļ§āđˆāļē āļ›āļąāļˆāļˆāļąāļĒāļŠāđˆāļ§āļ™āļ›āļĢāļ°āļŠāļĄāļ—āļēāļ‡āļāļēāļĢāļ•āļĨāļēāļ”āļ‚āļ­āļ‡āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āļ—āļąāđ‰āļ‡ 4 āļ›āļąāļˆāļˆāļąāļĒāļ„āļ·āļ­ āļ”āđ‰āļēāļ™āļŠāļīāļ™āļ„āđ‰āļē āļ”āđ‰āļēāļ™āļĢāļēāļ„āļē āļ”āđ‰āļēāļ™āļŠāđˆāļ­āļ‡āļ—āļēāļ‡āļāļēāļĢāļˆāļąāļ”āļˆāļģāļŦāļ™āđˆāļēāļĒ āđāļĨāļ°āļ”āđ‰āļēāļ™āļāļēāļĢāļŠāđˆāļ‡āđ€āļŠāļĢāļīāļĄāļāļēāļĢāļ‚āļēāļĒāļĄāļĩāļ­āļīāļ—āļ˜āļīāļžāļĨāļ•āđˆāļ­āļžāļĪāļ•āļīāļāļĢāļĢāļĄāļāļēāļĢāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ āļ”āđ‰āļēāļ™āļ„āļ§āļēāļĄāđ€āļĢāđ‡āļ§āđƒāļ™āļāļēāļĢāļ•āļąāļ”āļŠāļīāļ™āđƒāļˆāļāđˆāļ­āļ™āļ‹āļ·āđ‰āļ­ āļĢāđ‰āļ­āļĒāļĨāļ° 31.8 āđ‚āļ”āļĒāļĄāļĩāđ€āļžāļĩāļĒāļ‡ 2 āļ›āļąāļˆāļˆāļąāļĒāļ„āļ·āļ­ āļ”āđ‰āļēāļ™āļŠāļīāļ™āļ„āđ‰āļē āđāļĨāļ°āļ”āđ‰āļēāļ™āļŠāđˆāļ­āļ‡āļ—āļēāļ‡āļāļēāļĢāļˆāļąāļ”āļˆāļģāļŦāļ™āđˆāļēāļĒāļ—āļĩāđˆāļĄāļĩāļ­āļīāļ—āļ˜āļīāļžāļĨāļ•āđˆāļ­āļžāļĪāļ•āļīāļāļĢāļĢāļĄāļāļēāļĢāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡ āļ”āđ‰āļēāļ™āļ„āļ§āļēāļĄāļ•āļąāđ‰āļ‡āđƒāļˆāļ‹āļ·āđ‰āļ­ āļĢāđ‰āļ­āļĒāļĨāļ° 35.8 āļ‹āļķāđˆāļ‡āļœāļĨāļˆāļēāļāļ‡āļēāļ™āļ§āļīāļˆāļąāļĒāļ™āļĩāđ‰āļœāļđāđ‰āļ›āļĢāļ°āļāļ­āļšāļāļēāļĢāļŠāļēāļĄāļēāļĢāļ–āļ™āļģāđ„āļ›āđƒāļŠāđ‰āđƒāļŦāđ‰āđ€āļāļīāļ”āļ›āļĢāļ°āđ‚āļĒāļŠāļ™āđŒāđƒāļ™āļāļēāļĢāļ§āļēāļ‡āđāļœāļ™ āđāļĨāļ°āļ›āļĢāļąāļšāđ€āļ›āļĨāļĩāđˆāļĒāļ™āļāļĨāļĒāļļāļ—āļ˜āđŒāđ€āļžāļ·āđˆāļ­āļ•āļ­āļšāļŠāļ™āļ­āļ‡āļ„āļ§āļēāļĄāļ•āđ‰āļ­āļ‡āļāļēāļĢāļ‚āļ­āļ‡āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„ āđāļĨāļ°āđ€āļžāļ·āđˆāļ­āļ”āļķāļ‡āļ”āļđāļ”āļœāļđāđ‰āļšāļĢāļīāđ‚āļ āļ„āļ—āļĩāđˆāļŠāļ™āđƒāļˆāļ‹āļ·āđ‰āļ­āļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āļ—āļģāđƒāļŦāđ‰āļŠāļēāļĄāļēāļĢāļ–āđ€āļžāļīāđˆāļĄāļĒāļ­āļ”āļ‚āļēāļĒāļŠāļīāļ™āļ„āđ‰āļēāļ­āļēāļŦāļēāļĢāļ­āļ­āļĢāđŒāđāļāļ™āļīāļ„āļŠāļģāļŦāļĢāļąāļšāļŠāļąāļ•āļ§āđŒāđ€āļĨāļĩāđ‰āļĒāļ‡āđ„āļ”āđ‰

    Determinants of digital wallet adoption and super app: A review and research model

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    As many companies are transforming through digitalisation to increase efficiency and effectiveness of business processes, financial technology firms innovated the digital wallet as an omnichannel payment to facilitate the digital payments. This review aims to explore the conceptual structure of the digital wallet knowledge base in business and management literature and the determinants that influence the consumer adoption decision of a digital wallet. A bibliometric approach is used to analyse 156 Scopus-indexed documents in this study field. Author co-citation reveals four key schools of thought: digital marketing and consumer behaviour, management and business analytics, mobile commerce and technology, and information and communication technology. The temporal overlay keyword cooccurrence map shows the topical focus changes of research from mobile payment technology, business uses, and determinants of digital wallet adoption. The top cited empirical documents also show that perceived usefulness, perceived ease of use, trust or perceived ability, perceived risk, and perceived value are consumers’ key considerations in choosing digital wallets for payments. This review seeks to contribute to both scientific knowledge and the model of research practice that could provide insights into digital wallet payment. The comprehensive research framework proposes the facilitators and inhibitors which employ the status quo bias theory and presents the mediating effects of the unified theory of acceptance and use of technology constructs on behavioural intention to use a digital wallet, positive word of mouth, and user satisfaction. Four additional determinants augment the existing theories, including perceived trust, perceived security and privacy, promotion, and super app for novelty

    Integrative Review of Absorptive Capacity’s Role in Fostering Organizational Resilience and Research Agenda

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    Organizational resilience (OR) has been studied as an important construct for maintaining an organization’s sustainability in today’s dynamic business world. However, the exact way to systematically achieve OR in real organizational settings is still unknown. In this paper, the scholars elucidate how OR can be fostered by developing knowledge absorptive capacity based on the knowledge-based view and dynamic capability theory. The paper highlights the significance of knowledge resources for a firm’s survival nowadays and provides conceptual clarity of how a firm’s ACAP could reinforce fostering OR. Thereby, this review fills the knowledge gaps of previous studies. Based on the review corpus, scholars also address other prominent antecedents for nurturing OR, such as leadership styles, dynamic capabilities, organizational learning, unlearning, networks, and social capital. Lastly, a conceptual model was developed for future organizational studies. In addition to the aforementioned contributions, the study’s novelty also lies in the review method, which is systematically conducted in an integrated manner by combining a bibliometric analysis and a scoping review. Furthermore, the study analyzes a more expansive database that includes 823 documents and covers documents published more recently, from 1992 to 2021
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