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The purpose of this study is to deepen understanding of the effects of using social media technologies to acquire technological knowledge and organizational learning competences, of technological knowledge competences on organizational learning and finally of organizational learning on organizational performance.

The study was performed by analyzing data from a sample of 197 technology firms located in Spain. The hypotheses were tested using a structural equations model with the program LISREL 8.80.

This study’s conceptual framework is grounded in complexity theory – along with dynamic capabilities theory, which complements the resource-based view. The study contributes to the literature by proposing a model that reflects empirically how business ecosystems that use social media technologies enable the development of interorganizational and social collaboration networks that encourage learning and development of technological knowledge competences.

It would be interesting for future studies to consider other elements to conceptualize and measure social media technologies, including (among others) significance of the various tools used and strategic integration. The model might also analyze other sectors and another combination of variables.

The results of this study have several managerial implications: developing social media technologies and interorganizational social collaboration networks not only enables the organizational learning process but also encourages technological knowledge competences. Through innovation processes, use of social media technologies also contributes to strengthening companies’ strategic positioning, which ultimately helps to improve firms’ organizational performance.

Since social media technologies drive information systems in contemporary society (because they enable interaction with numerous agents), the authors highlight the use of complexity theory to develop a conceptual framework.

The study also deepens understanding of the connections by which new experiential learning contributes to the generation of coevolutionary adaptive business ecosystems and digital strategies that enable development of interorganizational and social collaborative networks through technological knowledge competences. Only after examining the impact of social media technologies on organizational performance in prior literature, did the authors underscore that both quantity and frequency of social media technology use are positively related to improvement in knowledge processes that lead to employees’ creation and acquisition of new metaknowledge.

In the context of exponential technological advancements in the economy and the role of entrepreneurial ventures in significantly contributing towards social and economic growth, this study aims to examine the influence of learning motivation and personal innovativeness (PI) on students’ entrepreneurship intention. The study gains relevance in the context of students in emerging economies like India, where the digital divide is still on the higher side. The study also seeks to understand the extent to which varying levels of technological self-efficacy moderate the interaction effects of human capital in the aforementioned relationship.

The sample for this study consisted of 330 students from various disciplines, including science, technology and management, who were selected randomly from different universities in India. A self-administered and structured questionnaire was used to obtain responses from the participants. The data were analysed using confirmatory factor analysis (IBM SPSS 23.0), and path analysis was performed using Hayes PROCESS Macro.

The study's results indicated that learning motivation and PI had a significant indirect effect on students’ entrepreneurship intention, mediated through human capital. However, interestingly, the relationships were varyingly influenced by technological self-efficacy as the moderator.

The contemporary student cohort consists of individuals known as “digital natives,” who possess a strong inclination towards digital learning and demonstrate innovative behaviour. The insights gained from this study underscore the crucial role of technological self-efficacy in shaping entrepreneurial intentions, indicating the necessity of incorporating technological training and skill development within international business education curricula. Also, the results of the study emphasize the need for integrating PI into business education programs, as it positively influences the entrepreneurial mindset and potential.

This study is pioneering in conceptualizing and testing a model that provides a more comprehensive understanding of student attitudes and outcomes. This understanding can be used to customize entrepreneurial programs to better meet the needs of students. Entrepreneurship fosters technological innovation and creates employment opportunities, making student venture creations a crucial factor in economic development and sustainability. For educators and university administrators, it is essential to comprehend how to enhance entrepreneurial intentions among students to design a learning environment that facilitates the creation of new ventures as a result of higher education.

New technology‐based ventures (NTBVs) gain access to beneficial social capital through their affiliation with technology incubators, organizations created to facilitate learning leading to the successful development of nascent firms. Scillitoe and Chakrabarti (2005, 2) identified three sources of beneficial social capital within human networks, “historical ties, organizational facilitation, and trustbased shared pursuit of common goals”, with organizational facilitation identified as the primary source of beneficial social capital for ventures within technology incubators. The current study extends this prior research investigating the development of social capital of NTBVs through incubator facilitation, focusing on the influence of female founders. Results are based on surveys collected from fifty‐four technology‐based firms affiliated with technology incubators in the United States and Finland. The results from this exploratory study show that the speed of technological learning is negatively affected by the interpersonal network access in firms with female founding management team members. Technological learning includes acquiring knowledge of legal protection of intellectual property, complex technological and scientific knowledge, and design and production skills that enable the development and commercialization of NTBV products and services (Deeds, DeCarolis, and Coombs, 1999). This finding contradicts prior research that suggests technological development of ventures is positively influenced by interpersonal network access through incubators (Hansen, Chesbrough, Nohria, and Sull 2000; Scillitoe and Chakrabarti 2005). Implications for technology incubator managers, NTBV founders, and economic development agencies that support technology incubators are discussed.

The primary objective of this study is to examine how students' technological factors affect remote access (RA) in smart learning (SL) environments. Additionally, the paper explores the moderating effect of students' technical skills (TS) on RA and SL.

The study applied a quantitative research approach and collected 125 valid questionnaires from students in Oman's higher education institutions (HEIs). A structural equation model (SEM) was employed for data analysis using the Smart PLS 4 version to examine the influence of technological factors on RA in SL environments.

It was found that the use of cloud-based RA in SL is influenced by students' use of technology, technology competitiveness and the availability of institutional software (IS). Moreover, students' TS were found to play a crucial role in moderating RA and SL, as well as technical knowledge (TK) and SL. These findings highlight the importance of technical competencies and software availability in shaping students' RA experiences.

The study's findings should be interpreted with caution due to the limited sample size, which may restrict the generalizability of the results.

The study suggests the technological learning capabilities of HEIs, which significantly improved by prioritizing critical technical factors, including knowledge and use of technology, availability of institutional software and RA antecedents in SL environments.

This paper offers practical and actionable directions for HEIs, universities, colleges and educators looking to incorporate technology into their practices in the dynamic and ever-evolving Fourth Industrial Era.

This study employs learning‐based theory to shed light on performance among newly internationalizing companies. Earlier studies have suggested that learning is an important goal for firms pursuing international diversification. Unlike previous studies which have focused their attention on one aspect of learning, this study examines three kinds of learning from internationalization: technological, market, and social. The impact of top management's prior international experience and cultural diversity on the three types of learning were also examined to understand their contingency effects. Consistent with social capital theory, external networks with suppliers and customers are a major contributor to a firm's international performance. Also, the findings for the influence of market learning on firm performance support the assumptions underlying the resource‐based view of the firm. However, mixed results were obtained for the relationship between technological learning and firm performance. Implications and directions for future research are discussed.

This study aims to develop a theoretical framework of the impact of clan and hierarchy cultures and knowledge technological capabilities on organizational learning.

A questionnaire survey was used to collect data from 693 employees working in knowledge management centers in various law and enforcement units in the United Arab Emirates (UAE). Structural equation modeling was used to test the relationships between the variables.

The findings show that the clan culture had a significant negative effect on organizational learning. However, hierarchy culture and knowledge technological capabilities had a significant positive impact in predicting organizational learning behavior.

The study focuses on a specific type of public organization only, which somewhat limits the generalizability of the research results. Second, as the study was cross-sectional, the causal relationships could not be inferred directly. The study results will help policymakers create a learning organization by examining the impact of organizational culture and knowledge of technological capabilities.

This paper has added knowledge about the relationship between culture types, knowledge technological capabilities and organizational learning, particularly in the UAE. This study helps to bridge the gap in research on culture and knowledge technological capabilities and organizational learning.

There has been growing interest on how emerging country firms can improve collaborative relationships with their international supply chain partners and improve performance outcomes. This paper aims to develop and test a model which emphasizes how advanced information technology and relationship learning can help Taiwanese electronics firms to improve their working relationship with international buyers.

Data were collected from 246 Taiwanese electronics firms which nurture relationships with international buyers. Structural equation modeling was employed to test the interrelationships between key concepts in the proposed conceptual model.

The findings suggest that applied technological innovation, a key IT resource, can enhance relationship learning for suppliers in their dealings with international buyers. This in turn contributes to higher supplier innovativeness and relationship performance. Moreover, applied technological innovation can improve supplier innovativeness directly. Interestingly however, applied technological innovation does not directly contribute to relationship performance.

This paper provides empirical evidence on the contribution of applied technological innovation on enhancing relationship learning and innovation in interfirm relationships for Asia‐Pacific dragon electronic firms.

Managers should focus on building relationship learning and adopting advanced IT to support joint learning activities in international channel relationships in order to improve relationship outcomes.

The paper develops hypotheses and tests a conceptual model which explains the contribution of applied technological innovation and relationship learning on supplier innovativeness and relationship performance.

The purpose of this research is to inspect the perceptions of MBA students regarding learning through podcasts. The author's goals are to reveal the students' attitudes toward the use of podcasts as a key learning tool in a graduate academic course, to examine the learning efficacy in this mode of learning, to inspect students' opinions regarding flexibility in learning with podcasts and to examine whether there is a different reference to podcasts as a mid-term assignment vs podcasts as a substitute for lectures.

This paper examines the learning attitudes and effectiveness of postgraduate students in business administration toward combining podcasts as an e-Learning tool. This paper also explores the flexibility of this kind of asynchronous learning. Two types of podcasts for two different pedagogical purposes were examined in the study, one as a team mid-term assignment and second as recorded lectures. The main results of this study provide significant evidence that previous experience in listening to podcasts on the Internet has a significant impact on learning effectiveness, student attitudes and learning satisfaction while using this technology. In fact, this study establishes that students that are technologically oriented and have prior experience listening to podcasts learn more in the course, have positive attitudes toward podcast technology as a learning tool, have high learning effectiveness and are satisfied with the flexibility of the asynchronous learning process.

The findings state that both in the mid-term assignment and in the course lessons as students listened to podcasts more frequently and gained experience listening to podcasts on the Internet, the students expressed more positive views toward learning using this technology, the students' learning effectiveness was higher and the students were more satisfied with the flexibility made possible by using this asynchronous technology tool of e-Learning. Moreover, the results of the study clearly indicate a positive correlation between listening to the podcast lessons in the course and the effectiveness of learning both in the mid-term assignment and in classes.

This study has some limitations. First, the findings are limited by the relatively small sample, with graduate students in an MBA program, in a course from the field of technological entrepreneurship. Furthermore, in this study, the students had partial freedom to choose the podcast for the students' mid-term assignment from a specific well-known program in the field of entrepreneurship and were not free to choose podcasts from any site available on the Internet. Although this process guided the students to use podcasts from a quality podcast program, the process also reduced the students' choice to some extent.

Academic institutions must provide the appropriate technological infrastructure for the development, creation and recording of quality podcasts by lecturers for students, in addition to training lecturers to teach through podcasts as an integral part of e-Learning advanced tools. Furthermore, institutions must financially incentivize and educationally encourage lecturers to teach at least some of the content in the course using pre-prepared podcasts.

The author's first suggestion to lecturers that wish to use podcasts as learning resources is to familiarize themselves with the technology and resources available to introduce students to the basics of podcasting and to make the students aware of the podcast's benefits. Second, the study highly recommends to integrate podcasts into the teaching curriculum in academia as early as possible in the basic courses, before the students move on to advanced courses in undergraduate studies. In this way, students in advanced courses can make better use of this technology.

As far as the author knows, this is the first study that combined two types of podcasts used for two complementary pedagogical purposes in an academic course: the first, open and available online podcasts as part of a mid-term assignment and the second type of podcasts that are recorded audio lessons as a complete replacement for course lectures. Additionally, the study sharpens the understanding that students' previous experience with technology is of great importance to learning effectiveness, as well as positive opinions and high learning satisfaction.

The purpose of this paper is to consider whether the characteristics of a technology affect the type of learning mode used for acquiring abilities related to specific competencies. While technological competencies have a direct impact on firm performance for technology‐intensive start‐ups, few if any of these firms posses all the prerequisite competencies required for a given technology‐product‐market paradigm as the firm enters or remains over time in that market. Consequently, high tech entrepreneurial firms must learn, acquire and develop competencies initially and in response to the changing requirements of industry standard products.

The paper includes a study of all 35 high‐tech start‐ups in the semiconductor silicon industry using primary and secondary source data.

The characteristics of a technology affect which of ten different learning methods are chosen by a firm to acquire a competence. The study finds that risk, uncertainty, status, pervasiveness, observability, disruptiveness, and centrality are technological characteristics that influence the learning modes that are selected by a firm.

This is the first study to focus on the impact of technological characteristics on learning methods used. Practical and theoretical value in determining under what technological circumstances a learning method should be used to acquire and develop skills with a new technology.

This paper aims to identify the influence of innovation network and technological learning on innovation performance of high-tech cluster enterprises.

Using a questionnaire, data are collected from Dalian High-tech Industrial park in China. In addition, structural equation model is used to identify the influence of innovation network and technological learning on the innovation performance of high-tech cluster enterprise.

The findings of this study show that the centrality of network location and the strength of the network relationship have a direct positive effect on technology acquisition, technology digestion and technology exploit of high-tech cluster enterprises. Meanwhile, technology acquisition has a direct positive effect on technology digestion, technology digestion has a direct positive effect technology exploit, and technology exploit has a direct positive effect innovation performance of high-tech cluster enterprises.

To improve innovation performance, high-tech cluster enterprises should not only nurture and optimize innovation networks but also improve technological learning ability.

This paper empirically supports the significant influence of innovation network and technological learning on innovation performance. While the results provide guidance for researchers and practitioners, it also adds value to innovation-related research.