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Informed by the concept of well-being in Islam and the eudaimonic view of psychological well-being (PWB), and drawing on resilience theory, this study aims to understand (1) the implications of residing in conflict areas for entrepreneurs’ PWB, (2) the barriers facing entrepreneurs in these areas and (3) the implications of their religiosity for their PWB.

Utilizing an interpretative qualitative method, this study employed 22 entrepreneurs residing in conflict areas (Palestine and Libya). Thematic analysis was used to explore the participants’ experiences and insights.

The findings show that living in conflict areas enhances certain components of entrepreneurs’ PWB, such as self-acceptance and having a purpose in life and diminishes other components of their PWB, including environmental mastery, personal growth, the presence of autonomy and positive relations with others. Additionally, the findings suggest that religiosity, viewed through an Islamic lens, positively contributes to entrepreneurs’ PWB and identify societal (macro level) barriers faced by entrepreneurs in these areas.

The study is theoretically and contextually relevant and offers novel insights into the interplay between religion and well-being in conflict areas. It presents a reinvigorated awareness, opens specific research directions and permits the contextual applicability and possible extension of resilience theory.

This paper aims to depart from the national innovation system (NIS) arguments that countries' institutional arrangements and performance result from various complementary factors that generate innovative activities and products within economies.

To further explore these dimensions, the main objective of this paper is to address the determinants of global heterogeneity in the innovation outcomes of the nations. Thus, the research employs descriptive data analysis and multivariate regression models, using data from the Global Innovation Index (GII) to analyze innovation systems cross-regionally concerning institutional arrangements and performance. Since 2013, the GII, has annually measured and ranked the innovation inputs and outputs of more than a hundred countries based on a comprehensive and sophisticated approach and a multidimensional perspective.

The author found the empirical results remarkably interesting in many respects. The different indexes of innovation inputs affect the country's performance level, but not all show a statistically significant impact on innovation outputs. Institutions and infrastructure indexes do not affect the innovative performance of the economies. The main determinants of innovation performance worldwide are business sophistication, human capital & research (HC&R) and market sophistication. In short, the research presents an original contribution, mainly because it explores different views on NIS disparities worldwide, using complementary methodological strategies and based on comprehensive data on innovative inputs and outputs in the countries.

The findings add new evidence-based knowledge on the determinants of innovation performance in different realities, such as political, economic and administrative. These realities formulate innovation policies and implement them worldwide.

To improve the position tracking efficiency of the upper-limb rehabilitation robot for stroke hemiplegia patients, the optimization Learning rate of the membership function based on the fuzzy impedance controller of the rehabilitation robot is propose.

First, the impaired limb’s damping and stiffness parameters for evaluating its physical recovery condition are online estimated by using weighted least squares method based on recursive algorithm. Second, the fuzzy impedance control with the rule has been designed with the optimal impedance parameters. Finally, the membership function learning rate online optimization strategy based on Takagi-Sugeno (TS) fuzzy impedance model was proposed to improve the position tracking speed of fuzzy impedance control.

This method provides a solution for improving the membership function learning rate of the fuzzy impedance controller of the upper limb rehabilitation robot. Compared with traditional TS fuzzy impedance controller in position control, the improved TS fuzzy impedance controller has reduced the overshoot stability time by 0.025 s, and the position error caused by simulating the thrust interference of the impaired limb has been reduced by 8.4%. This fact is verified by simulation and test.

The TS fuzzy impedance controller based on membership function online optimization learning strategy can effectively optimize control parameters and improve the position tracking speed of upper limb rehabilitation robots. This controller improves the auxiliary rehabilitation efficiency of the upper limb rehabilitation robot and ensures the stability of auxiliary rehabilitation training.

Syrian refugees in the Netherlands frequently suffer from mental health problems. It is argued that mental health not only consists of the absence of psychiatric disorders but also of the presence of mental well-being. However, there is little attention to the mental well-being of refugees, and no intervention exists that focuses on fostering the mental well-being of refugees. Therefore, the new culturally sensitive positive psychology intervention “Mosaic” was developed and implemented in collaboration with the target audience and local partners. Mosaic is offered in the Arabic language, and the content is focused on (re)finding purpose in life and (re)discovering life values and subsequently acting upon these values. The purpose of this study is to assess the effect of Mosaic on the mental well-being of Syrians in the Netherlands.

The effect of Mosaic on the mental well-being of Syrians in the Netherlands is assessed by conducting a randomized controlled trial (RCT) with a waitlist control group.

Postintervention within sample t-tests showed that the intervention group (n = 66) experienced significantly more overall mental well-being, emotional well-being and purpose in life right after participating in the intervention when compared to the preintervention measurement. The effect on purpose in life persisted six months later. These improvements were not found among the control group (n = 60).

Mosaic is the first positive psychology intervention in the Netherlands that was developed for and in collaboration with Syrian refugees. To the best of the authors’ knowledge, this study is also the first study in the Netherlands and one of the first ones in Europe that assesses the effect of positive psychology for refugees specifically.

Based on self-determination theory (SDT), this study aims to investigate the motivational antecedents of faculty members’ continuance intention of using online teaching platforms. For this purpose, we introduced a model incorporating basic psychological needs satisfaction (BPNS) and different motivational mechanisms.

Using a survey study of 312 faculty members, we examined the model by structural equation modeling (SEM).

The SEM results revealed a positive correlation between BPNS and continuance intention. Additionally, we illustrate the importance of different types of extrinsic motivation. By presenting an alternative model, we demonstrate that the initial-use-identified regulation (one type of extrinsic motivation) has an association with continuance intention (CI). However, this association loses significance if BPNS is present within the model. Moreover, we determined that there is no significant relationship between initial-use external regulation (another type of extrinsic motivation) and faculty members' CI for online teaching. Lastly, the results revealed that pre-use amotivation and intrinsic motivation impact CI through initial-use BPNS.

The results suggest that decision-makers at educational institutions should consider that extrinsic motivation has different types with different impacts and that BPNS has a vital role in faculty members’ intention to continue using online teaching platforms.

This study is novel because it reveals some details of extrinsic motivation effects by offering a model that combines BPNS and different types of motivation in two stages. It is important and rare that we concentrate on the almost neglected issue of faculty members’ motivational perspectives in online teaching, while the literature mainly focuses on students’ perspectives.

With the rapid advancement of generative artificial intelligence (AI), it is important to consider how young people are making sense of these tools in their everyday lives. Drawing on critical postdigital approaches to learning and literacy, this study aims to center the experiences and perspectives of young people who encounter and experiment with generative AI in their daily writing practices.

This critical case study of one digital platform – Character.ai – brings together an adolescent and adult authorship team to inquire about the intertwining of young people’s playful and critical perspectives when writing on/with digital platforms. Drawing on critical walkthrough methodology (Light et al., 2018), the authors engage digital methods to study how the creative and “fun” uses of AI in youths’ writing lives are situated in broader platform ecologies.

The findings suggest experimentation and pleasure are key aspects of young people’s engagement with generative AI. The authors demonstrate how one platform works to capitalize on these dimensions, even as youth users engage critically and artfully with the platform and develop their digital writing practices.

This study highlights how playful experimentation with generative AI can engage young people both in pleasurable digital writing and in exploration and contemplation of platforms dynamics and structures that shape their and others’ literate activities. Educators can consider young people’s creative uses of these evolving technologies as potential opportunities to develop a critical awareness of how commercial platforms seek to benefit from their users.

This study contributes to the development of a critical and humanist research agenda around generative AI by centering the experiences, perspectives and practices of young people who are underrepresented in the burgeoning research devoted to AI and literacies.

This study aims to investigate the impact of digital leadership (capabilities, experience, predictability and vision) and green organizational culture on firms' digital transformation and financial performance. Additionally, the research aims to evaluate the mediating role of digital transformation in the relationship between digital leadership and firms' financial performance.

A purposive sampling technique was employed to identify and select individuals with relevant expertise and experiences in the field of digital transformation. A total of 164 responses were collected, and the questionnaire was designed based on a five-point Likert-type scale. The data were analyzed using SmartPLS 4 (Statistical Software for Structural Equation Modeling).

The findings indicate that digital leadership capabilities, experience, predictability and vision do not directly impact firms' performance. However, there is an indirect influence on firms' performance through digital transformation. While both digital transformation and green organizational culture (GOC) positively influence firms' financial performance, GOC, leader predictability and leader vision positively influence digital transformation. The results confirm that digital transformation mediates the relationship between capabilities, experience, predictability and vision and firms' financial performance.

The study highlights that strategic capabilities can enhance value-added processes during digital transformation, contributing to sustainability in the digital era. Overall, this research significantly advances both theoretical understanding and practical applications in the context of digital leadership and its impact on firms. Limited digital transformation stages among Malaysian firms impact the research, with some entities cautious about data disclosure and having limited cooperation with researchers. Gathering data from diverse sources would have strengthened the findings and methodological rigor of this multilevel study. Despite these limitations, the research offers fresh insights into the role of GOC, different facets of digital leadership and their influence on digital transformation and financial performance. This enhances existing knowledge and challenges assumptions of the transformational leadership theory (TLT) framework.

The study opens the door to further research into distinct leadership components and their effects in a similar context. By highlighting the positive influence of capabilities, experience, predictability and vision on digital transformation, it expands the theoretical and empirical scope in the realm of digital leadership. These findings encourage critical examination, refinement and evolution of TLT, providing insights for leaders and managers as they navigate digitalization, financial performance and digital leadership within organizations. In an era of digital transformation, leaders play a central role in building a psychologically safe environment and nurturing digitally skilled teams capable of managing technological changes. Leaders should possess the digital capabilities, experience, vision and predictability necessary to drive digital transformation, mitigate potential threats and adapt to the dynamic digital landscape.

These findings support government initiatives to accelerate digitalization and Industry 4.0 implementation. Collaboration between the government and private organizations is essential to create policies and practices that facilitate broad participation in digital transformation programs. Policymakers must adopt a proactive approach to address issues related to Internet accessibility, trade barriers, financing access and resource reallocation. These policies aim to ensure a high-quality and affordable digital infrastructure, cultivate trust in digital technologies and equip organizational leaders with the necessary digital skills.

This research provides valuable insights for practitioners to enhance firms' digital transformation. As a practical contribution, this study’s findings can inform how firms can better manage their key digital leadership resources and GOC to foster digital transformation and improve their financial performance.

Using features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of social features in P2P mobile payment applications, it is worth understanding how these components contribute to users’ switching behavior between conventional mobile payment and P2P mobile payment services. By treating sociability of P2P mobile payment as a pull factor, this study aims to extend the push–pull–mooring framework in the context of P2P mobile payment.

A questionnaire survey was conducted to obtain data. Respondents from the USA were exclusively selected due to the emerging number of P2P mobile payment users and the volume of transactions in this country. Based on a sample of 232 Amazon Mechanical Turk mobile payment users, the authors tested the hypotheses using the partial least squares structural equation model technique with SmartPLS software version 3.

The finding reveals that sociability is triggered by social presence, social benefit and social support within the P2P mobile payment platform. Moreover, dissatisfaction with perceived enjoyment of conventional mobile payment (push factor), customer innovativeness (mooring factor) and sociability of P2P mobile payment (pull factor) jointly influence users’ intention to switch to P2P mobile payment services, and subsequently drive their migration behavior.

Unlike past research that mainly focuses on utilitarian-related factors, to the best of the authors’ knowledge, this study is among the first to thoroughly examine the sociability features of P2P mobile payment service as a form of a social-centric system.

Consumers' perceptions of product intelligence affect their willingness to accept smart offerings. This paper explores how people perceive various smart products based on their smartness profiles, composed of five distinct smartness facets. Additionally, the study investigates how these perceptions of product intelligence impact consumers' evaluation of factors that either promote or impede the adoption of smart products. These factors are examined as potential mediators in the adoption process. This paper aims to determine if the value-based adoption model can be applied to a broad range of smart service systems.

Consumers assessed one of 28 smart products in a scenario-based quantitative study. Multilevel structural equation modeling (SEM) is used to test the conceptual model, taking the nested data structure into account.

The findings show that product smartness essentially enhances usage intention via adoption drivers (enjoyment and usefulness) and reduces usage intention via adoption barriers (intrusiveness). In particular, the ability to interact in a humanlike manner increases the benefits consumers perceive, which in turn increases consumer acceptance. Only the smartness characteristic of awareness impairs usage intention, mediated by the perceived benefits of enjoyment and usefulness.

In contrast to previous research, which usually focuses on single smart products, this work examines a variety of different products, which allows for better transferability of the results to other smart offerings. Furthermore, prior research has mainly focused on single facets of product smartness or researched smartness on an aggregated level. By considering the consumer perception of each smartness facet, the authors gain deeper insights into the perceptual differences regarding product smartness and how this affects technology adoption via conflicting key acceptance drivers and barriers.

This study examines the critical elements that contribute to the effective adoption of educational digital resources (EDRs) in schools, with a focus on school principals and their leadership, from a strategic pedagogical standpoint.

Using survey data from 200 school principals, measurement and structure models are tested through structural equation modeling to quantify the impact between constructs.

The findings indicate that the most important factor influencing how effectively schools are transforming digitally is how beneficial school principals believe EDRs to be. Other important elements include the environment of the school, the technical assistance and service provided for the EDRs, and the professional and personal background of the principal.

Principals should be a fundamental component of educational plans for digital transformation, considering things like their age, leadership and teaching experience. Other components include contextual elements like school size, complexity and digital culture. A school principal's ability to promote an open dialogue – that enables educational communities to view the integration of EDRs into pedagogical models as an opportunity to improve outcomes – can assist a digital culture transition, rather than via the principal's authority or bureaucratic influence.

This research is among the pioneer to study the role of school principals in the UAE towards understanding the direction for digital transformation.