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The purpose of the research was to examine the effect of strategic orientation on organizational innovativeness of small and medium enterprises (SMEs). Moreover, in order to highlight the constructive role of strategic orientation, the study also observes the intervening role of strategic alignment and moderating role of strategic flexibility.

Data were collected from 209 owner/managers of SMEs through self-administered questionnaires. Descriptive statistics, correlation and hierarchical regression were used for testing the study hypotheses.

Results revealed that strategic orientation is positively related to SMEs innovativeness. Strategic alignment mediates between the strategic orientation and innovativeness link. Furthermore, the findings also established that the association between strategic orientation and strategic alignment is stronger when SMEs are strategically flexible.

Organizational innovativeness is of vital importance for SMEs strength, especially in the context of developing economies. Although researchers have acknowledged several antecedents of SMEs innovativeness, however, it is still unclear how strategic orientation influences organizational innovativeness. Moreover, the study focuses on another important element of strategic alignment through the integration of goals and strategies to achieve innovativeness.

This study aims to investigate the role of e-service quality and e-trust for achieving e-loyalty among digital library users in the digital economy. The current study examined the mediation effect of e-trust in the connection between e-service quality and e-loyalty.

Cross-sectional design was applied for the purpose of data collection and empirical findings of the study. Survey method was used for the purpose of data collection from 783 online digital libraries users.

Results reveal that e-service quality positively predicts e-trust in digital economy. Moreover, in digital economy e-trust predicts the e-loyalty. The findings also reveal that e-trust mediates the relationship between e-service quality and e-loyalty links.

The finding of study suggested that individual level e-trust have a strong effect on e-loyalty in digital economy. Individual level aspects in term of e-service quality have a direct effect on e-trust to improve their e-loyalty. The finding indicated that digital libraries users in future will be more loyal toward e-service quality providers. The results are useful for the management of digital libraries and academia for future. This is the first study that includes e-service quality, e-trust and e-loyalty in the context of digital economy.

This bibliometric review examines the recent literature on sensor-based fall prevention for older adults. It analyzes publication trends, key researchers and institutions, major research themes, as well as gaps and opportunities in this field.

A comprehensive search was conducted in Scopus and Web of Science (WoS) databases for publications from 1990 to 2024. Bibliometric indicators including publication output, citation analysis and co-occurrence of keywords were used to map the research landscape. Network visualizations were employed to identify key thematic clusters.

The research on sensor-based fall prevention has grown rapidly, peaking in 2019. The USA, Australia and Canada lead this work, with universities and hospitals collaborating globally. Key themes include fall epidemiology, wearable sensors and AI for fall detection. Opportunities exist to better implement these sensor systems through large trials, user-centered design, hybrid sensors and advanced analytics.

While comprehensive, the analysis focused primarily on publications indexed in Scopus and WoS, which may not capture all relevant literature. Future studies could expand the search to include other databases and conduct deeper analyses of highly influential studies.

The review provides an evidence-informed roadmap to accelerate the translation of sensor innovations into scalable and sustainable fall prevention practices for vulnerable older adult populations.

This is the first comprehensive bibliometric analysis to map the research landscape of sensor-based fall prevention, identifying key trends, themes and opportunities to advance this critical domain addressing a major global public health challenge.