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Background: Social media platforms are increasingly used in healthcare to provide psychosocial support to cancer patients. Despite global enthusiasm, concerns about misinformation and emotional vulnerability persist. In Iran, cultural and regulatory contexts add complexity to this dynamic, necessitating a localized understanding of healthcare providers’ perspectives. Aims: This study aims to explore Iranian oncology nurses’ perceptions of the benefits and risks associated with hospitalized cancer patients' use of social media, and to identify factors influencing these perceptions. Methodology: A cross-sectional survey was conducted among 131 oncology nurses from various hospitals in Iran, primarily in Tehran. Participants completed a structured questionnaire assessing demographics, life satisfaction, personal social media use, and perceptions of social media's impact on patient morale. Data were analyzed using descriptive statistics, Pearson correlation, and path analysis. Results: Overall, nurses held a positive view of social media’s role in enhancing patient morale, with a mean perception score of 7.1/10. Younger nurses and those with junior professional ranks exhibited more favorable attitudes. Personal social media usage positively correlated with optimistic perceptions, while life satisfaction showed a weak but significant positive association. Path analysis indicated that daily social media usage and younger age were the strongest predictors of positive perceptions. Some nurses, however, expressed concerns about misinformation and patient vulnerability. Conclusions: The findings highlight the generally favorable yet nuanced attitudes of Iranian oncology nurses toward social media use by cancer patients. Efforts to enhance digital literacy among healthcare providers and culturally sensitive strategies are recommended to maximize social media’s psychosocial benefits while mitigating associated risks.

Recent years have witnessed extensive research on motivation in second/foreign language (L2) contexts. Attempts have been made to develop motivation-based techniques and methods to boost learners’ learning outcomes in L2 programs. Yet, studies that have targeted L2 learners’ perceptions about the effectiveness of such programs in online classes remain scarce. This study addressed this gap and delved into L2 learners’ perceptions of two motivation-oriented instructions, namely the ARCS-based (Attention, Relevance, Confidence, and Satisfaction) and L2MSS vision-inspired (Second Language Motivational Self System) instructions, in an online English course. To this end, 41 learners of English were assigned to two groups. One group was instructed based on the ARCS motivation framework, and the other was instructed based on the L2MSS framework. Then, 10 volunteer participants from each group participated in focus group interviews. Thematic analysis of the data revealed 19 subthemes and 7 main themes, including 4 themes of attention-related pedagogy, relevance-oriented content, confidence-building elements, and sense of contentment/discontentment regarding the ARCS group, and 3 themes of ideal self-orientations, ought-to self-orientations, and situated learning/teaching experiences regarding the L2MSS group. The engaging content and appealing learning environment in the ARCS group and the future perspective enhancement and goal setting in the L2MSS group were motivating factors, creating positive perceptions of the two programs. The findings suggest utilizing attention-catching and vision-building strategies to motivate learners and enhance their L2 learning outcomes in online classes.

Purpose: The purpose of this research is to design a model for evaluating digital innovation and transformation in startup business models.Method: The methodology of this reseatch is descriptive-exploratory and employs a qualitative approach. The thematic analysis was employed to study digital innovation and transformation in startup business models. The participants in this research were academic and industrial experts with a background in research and executive work in lean startups. Initially, a purposive sampling method was used to select the samples, and this was later extended using the snowball method. Ultimately, the researcher conducted 14 expert interviews to collect data. The data obtained from the interviews were reviewed and analyzed using coding based on theme analysis. Initially, codes were extracted from the text of the interviews. These codes were aggregated into more general codes, which were further studied and integrated into components. From these components, relevant dimensions were proposed, leading to the presentation of a model based on these dimensions and extracted components.Findings: The results indicate that the digital Innovation and transformation evaluation model for startup business models includes six main dimensions and 19 sub-themes. The proposed model consists of the following dimensions: "monitoring and analysis of market needs" with three components, "evaluation of product development costs" with three components, "digital innovation and transformation in the business model" with four components, "coordination and integration inside and outside the organization" with two components, "evaluation of learning ability and absorption of organizational knowledge" with three components, and "organizational resources and capacities" with four components.Conclusion: Based on the research findings, it is suggested that managers in the technology field understand the importance of lean startups. The indicators in the proposed model may be considered to help prepare and empower startups to improve their products and services. Each proposed dimension can be seen as a management skill necessary for the success of lean startups. Managers may create the appropriate conditions to integrate all of company capabilities.