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New business practices and the globalization of markets force firms to take innovation as the fundamental pillar of their competitive strategy. Research and Development (R&D) plays a vital role in innovation. As technology advances and product life cycles become shorter, firms rely on R&D as a strategy to invigorate innovation. R&D project portfolio selection is a complex and challenging task. Despite the management's efforts to implement the best project portfolio selection practices, many projects continue to fail or miss their target. The problem is that selecting R&D projects requires a deep understanding of strategic vision and technical capabilities. However, many decision-makers lack technological insight or strategic vision. This article aims to provide a method to capitalize on the expertise of R&D professionals to assist managers in making informed and effective decisions. It also provides a framework for aligning the portfolio of R&D projects with the organizational vision and mission.

This article proposes a new strategic approach for R&D project portfolio selection using efficiency-uncertainty maps.

The proposed strategy plane helps decision-makers align R&D project portfolios with their strategies to combine a strategic view and numerical analysis in this research. The proposed strategy plane consists of four areas: Exploitation Zone, Challenge Zone, Desperation Zone and Discretion Zone. Mapping the project into this strategic plane would help decision-makers align their project portfolio according to the corporate perspectives.

The new approach combines the efficiency and uncertainty dimensions in portfolio selection into an integrated framework that: (i) provides a complete representation of the stochastic decision-making processes, (ii) models the endogenous uncertainty inherent in the project selection process and (iii) proposes a computationally practical and visually unique solution procedure for classifying desirable and undesirable R&D projects.

Since the outbreak of the COVID-19 pandemic, the demand for online services has risen, with e-payment emerging as a prominent option for customers seeking faster and more convenient transactions to complete their online purchases. Nevertheless, e-payment adoption in Egypt remains a challenge that requires further investigation. Thus, this study aims to investigate the factors influencing online customers’ attitudes and intentions towards adopting e-payment for online transactions, social influence, perceived ease of use, perceived usefulness, perceived trust, structural assurance and perceived privacy/security risk.

The data were gathered from 302 customers in Egypt and structurally analysed based on partial least squares structural equation modelling (PLS-SEM).

The findings revealed that social influence, perceived usefulness and perceived trust are significant antecedents of attitude. Furthermore, perceived usefulness, perceived trust, perceived privacy/security risk and attitude directly influence behavioural intention. Structural assurance and perceived trust directly influence perceived privacy/security risk. Moreover, perceived usefulness, perceived trust and attitude were found to have several mediating roles.

This study adds new empirical evidence from a developing country regarding the adoption of e-payment among online customers. In addition, its findings can help the government, practitioners and policymakers understand how to promote customers’ positive attitudes and encourage their intentions towards using e-payment.

The findings of this study can contribute to the digital transformation strategy in Egypt by providing insights into enhancing online shoppers’ attitudes and intentions towards e-payment adoption. This, in turn, can boost Egyptian e-commerce and the country's digital economy as a whole.

This paper aims to investigate if perceived security, trust and perceived privacy affect both perceived usefulness and perceived ease of use. Also, the study explores if trust, perceived usefulness and perceived ease of use influence consumers’ intentions to use the e-payment system which is supported by testing the moderation effect of gender on the intention to use such systems in the higher education institutes.

In total, 850 participants from United Arab Emirates (UAE) universities have filled an online questionnaire prepared for these aims. The survey instrument is composed of 22 items. The primary data was used to test the study model, proposed constructs and the study hypotheses using the Smart PLS Software.

The research confirmed that perceived security, trust and perceived privacy affect both perceived usefulness and perceived ease of use. Also, the study found that trust, perceived usefulness and perceived ease of use have anticipated the significance of consumers’ intention to use e-payment system which is found also moderated by gender. Research outcomes indicated an important contribution towards the acceptance of e-payment systems and the common design of e-commerce systems.

Research outcomes have indicated an important contribution toward the acceptance of e-payment systems and the common design of e-commerce systems. Additionally, this study helped in increasing the reader’s understanding of various aspects of e-commerce, specifically consumers’ trust and privacy protection which consequently allows the online sellers to formulate appropriate strategies and actions imperative to serve the online purchasers and target the internet users.

This study aims to measure the acceptance of digital resources by integrating knowledge management (KM) factors (i.e. acquisition, sharing, application and protection) into the factors of the technology acceptance model (TAM) (i.e. perceived ease of use and perceived usefulness) and their impact on actual system use through behavioural intention.

Using the quantitative research method, a survey was conducted of the public sector universities of Punjab, Pakistan. Data were collected from postgraduate students and analysed using partial least squares structural equation modelling.

The findings showed that the factors of KM with the integration of TAM significantly impact the acceptance of digital resources. The study’s hypotheses are all supported, and the findings demonstrated that knowledge acquisition, knowledge sharing, knowledge application and knowledge protection significantly influenced perceived usefulness and perceived ease of use, and that these factors are positively correlated with behavioural intentions to use digital resources.

This study has considerable significant implications for policymakers, developers and practitioners in designing digital resources. This study will also assist librarians to discover areas for development that may enhance the use of digital resources among users

The development of mobile technology has changed the traditional financial industry and banking sector. While traditional banks have adopted artificial intelligence (AI) techniques to deepen the development of mobile banking applications (apps), the current literature lacks research on the use of AI-based constructs to explore users' mobile banking app adoption intentions. To fill this gap, based on stimulus-organism-response (SOR) theory, two AI feature constructs as stimuli are considered, namely, perceived intelligence and anthropomorphism. This study then develops a research model to investigate how intelligence and anthropomorphism affect task-technology fit (TTF), perceived cost, perceived risk and trust (organism), which in turn influence users' AI mobile banking app adoption (response).

This study used a convenience nonprobability sampling approach; a total of 451 responses were collected to examine the model. The partial least squares technique was utilized for data analysis.

The results show that intelligence and anthropomorphism increase users' willingness to adopt mobile banking apps through TTF and trust. However, higher levels of anthropomorphism enhance users' perceived cost. In addition, both intelligence and anthropomorphism have insignificant effects on perceived risk. The results provide theoretical contributions for AI-based mobile banking app adoption and offer practical guidance for bank planning to use AI to retain users.

Based on SOR theory, this study reveals that as features, AI-enabled intelligence and anthropomorphism help us further understand users' perceptions regarding cost, risk, TTF and trust in the context of AI-enabled app adoption intentions.

The concept of e-learning is essential in employee education since it provides different ways to develop employees' knowledge, skills and attitudes using modern technologies. E-learning has been overgrowing in employee education because learning can be held anytime and anywhere. In order to succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address the factors affecting its success. This paper aims to test the role of internet of Things (IoT)-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework.

E-learning systems receive ever-increasing attention in academia, business and public administration. With the development of e-learning, employee education has also benefited from its capacities in various fields. To succeed in implementing e-learning and benefiting from its capacities, and avoiding potential threats in the country, it is necessary to address its success. The proposing of Information and Communications Technology (ICT)-based technologies such as the IoT, cloud, etc., in e-learning, can help transform education. Therefore, this paper aims to test the role of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on the success of employees' e-learning programs based on a framework. The research model and the data collected from the questionnaires have been analyzed via Smart PLS 3.2. This study has utilized the SEM to evaluate the causal model's reliability and validity based on measurement. According to the literature in this study, a framework has been proposed that examines the impact of IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity on employees' learning programs' success.

The results have shown that IoT-based systems, cloud-based services, virtual classes and evaluation tools are four significant factors affecting attitude, content management and creativity. The results have also shown that attitude, content management and creativity are three significant factors affecting employees' learning programs' success. The factors above are considered critical in explaining the success of employees' e-learning programs, but, as far as we know, there has been no study in which all these factors were demonstrated together.

From a practical viewpoint, the statistical outcomes support the important role of the following factors: IoT-based systems, cloud-based services, virtual classes, evaluation tools, attitude, content management and creativity. Henceforth, aspects relating to these factors got the attention of any organization to develop e-learning processes.

This research will contribute to the literature related to employees' e-learning programs' success by integrating all the mentioned variables. As far as we know, it is the first study to test these variables in Iran.

This study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.

Semistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.

The following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.

The study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.

The study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning.

Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An online administrated questionnaire is distributed through convenience sampling to reach generation(Z) students. The questionnaire is developed using Google form, placing the link on various universities' social media platforms so to be accessible to the respondents. Path coefficient analysis of SEM is used to test the hypotheses.

Results show that the individual's level of technological optimism, discomfort and insecurity impact adoption intentions toward IoT products and services for online learning; the mental motivator, innovativeness, is insignificant.

This study helps guide practitioners (education institutions, IoT-developers, marketers and other professionals in the field) to consider students' mindset when designing products and strategies for promoting online learning and introducing educational IoT. This research provides insights on IoT in higher education; it provides perspectives for IoT adoption intention pro-online learning, aiding institutions looking for trends and practices for skills and work-based learning developments.

This study contributes to knowledge and literature by shedding light on the educational challenge of why not all students could harness the potentials of online learning and IoT of the twenty-first century. It provides insights to clarify students' mindset toward educational IoT needed for online learning.

The study is done to investigate the factors that affect the intention of higher education students towards online education. The research also focuses on the importance of students' stability and students' resilience on perceived usefulness and perceived easiness of use that frame the attitude towards the intention to use online education.

Online survey method is employed using Google form link with a sample of 686 students of higher education. Excluding the outliers (univariate and multivariate), the final sample size (N = 679) considers the empirical results of the study. Partial least square structural equation modelling (PLS-SEM) is applied to unearth the relationship in the proposed research model of the study.

The empirical results indicate that perceived usefulness and perceived easiness of use have a direct impact on students' intention to use online education platform. Moreover, perceived usefulness and perceived easiness of use also have a positive influence on the students' attitude, which has a strong influence on students' intention to use online mode of education system. Also, students' stability and students' resilience have mixed impact on the level of perceived usefulness and perceived easiness of use that are the most useful determinants of attitude towards the intention to use online education.

The study counts on the technology acceptance model (TAM) where constructs like behavioural controllability, past exposure and perceived accordance are not considered for measuring the intention of students in adapting to online education.

This paper employs the extended model of technology acceptance with additional determinants, namely, students' stability and students' resilience, to investigate the intention to use the online form of education as an alternative to the offline mode.

The purpose of the study is to determine the impact that the crucial determinants have on the behavioural intention (BI) of undergraduates to adopt Massive Open Online Courses (MOOCs), addressing two perspectives that are students' technical experience and psychosocial factors.

This is a questionnaire study, and all the respondents are undergraduates in Barcelona, Spain. A total of 188 students are selected as survey subjects. Data collection applies the five-point Likert scale, and the collected information refers to demographic information and constructs related to the technology acceptance model (TAM) and theory of planned behaviour (TPB). Confirmatory factor analysis (CFA) and partial least square (PLS) are used to examine the measurement model's convergent and discriminant validity and test the hypotheses implementing the bootstrapping method.

The results show perceived usefulness (PU) and perceived ease of use (PEOU) are influential in forming an attitude (ATT), and PU could directly impact BI significantly. Additionally, the mediating role of ATT in the relationships amongst PU, PEOU and BI are investigated. Besides, perceived behavioural control (PBC) is found a critical variable and significantly impacts BI, whereas subjective norms (SN) is not found statistically significant in explaining BI in this study.

This study has confirmed that ATT has a positive mediation effect on PU, PEOU and BI. This study has also confirmed the validity and model fit of the incorporated model of TAM and TPB, which sufficiently accounts for the planned behavioural process of undergraduates to accept a MOOC and contributes to validating literature of the incorporated model of TAM and TPB. Besides, this study provides MOOCs managers with practical suggestions. First, ease-of-use interfaces should be designed and intensified. Second, more channels should be explored to satisfy students' needs. Third, managers should intensify the leverage of the systems and introduce the free trial period to new learners. Fourth, a bonus mechanism could be adopted to motivate students. Last, manager should intensify the construction of oral advertisements amongst students.