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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.

The purpose of this paper is to show how social media technologies (SMT) make the firm proficient to act on business opportunities and reconfigure business resources by encouraging networks to routinize the firm’s knowledge and innovation competencies.

The paper analyzes data obtained from a sample of 201 technological firms located in Spain. Structural equation modeling with Lisrel is used to test the hypotheses.

This paper contributes to the literature by reflecting empirically in a structural model how SMT drive technological knowledge competencies to improve organizational performance directly and indirectly by leveraging processes of innovation capability in the firm.

The study has some limitations, among them transversal analysis of different constructs. The number of relationships analyzed is limited, as is the literature focuses on a digital vision from a social media point of view.

Some implications for managers emerge. SMT both enable an emergent participatory culture through ubiquitous digital devices and social networks and balance constant connectivity afforded by digital devices.

Drawing on complexity science, the authors develop a conceptual framework to explain how social media, as emergent IS phenomena, help firms to create business value, leveraging network effects and knowledge flows, and increasing innovative capability.

The aim of this paper is to highlight the importance of different technological aspects of organizations on Spanish high‐technology firms' performance.

The relationships studied are confirmed empirically using a structural equation model to demonstrate our hypotheses. The sample was selected from the database “Dun & Bradstreet España” in the year 2005 and includes 201 Spanish firms. CEOs were our main informants.

The results obtained show that support from top managers will directly influence the organizational learning (OL) process and technological distinctive competencies (TDCs) (antecedents of corporate entrepreneurship) and that corporate entrepreneurship finally influences organizational performance.

The paper is exploratory in character, and its goal is to show whether interrelations exist between the variables. The main limitations are: the sectors chosen refer only to Spain; the analysis is cross‐sectional in character; the study uses a single method and self‐reports (CEOs).

To obtain perfect adaptation of the firm to its environment, it is crucial that managers develop corporate entrepreneurship to improve high‐technology sector firms' performance. The paper shows the important role of the top manager's support in developing TDCs and OL. Success in such issues is of vital importance to corporate entrepreneurship in the firm.

The paper seeks to stimulate new lines of research on one variable (TDCs) and to relate it to other constructs, producing new relationships and observing their repercussions for the firm.

The aim of this paper is to highlight the importance of different technological aspects of organizations for Spanish firms' performance through organizational learning and corporate entrepreneurship (where organizational innovation is essential).

The relationships studied are confirmed empirically using a structural equation model to demonstrate the hypotheses. The sample was selected from the database Dun & Bradstreet España for 2003, obtaining 201 Spanish firms. CEOs were the main informants.

The results show that the support adopted by top managers will directly influence the organizational learning process, technological distinctive competencies and corporate entrepreneurship. Technological distinctive competencies are also supported by organizational slack resources, technological skills and a technological infrastructure. Finally, corporate entrepreneurship influences organizational performance.

The paper is exploratory in character, and its goal is to show whether interrelations exist between the variables. The main limitations are: the sectors chosen refer only to Spain; the analysis performed is cross‐sectional; and a single method and self‐reports are used.

The paper shows that to obtain perfect adaptation of the firm to its environment, it is crucial that managers develop corporate entrepreneurship, especially innovation, to improve high‐technology sector firms' performance.

The paper seeks to stimulate new lines of research regarding technological distinctive competencies, organizational learning and corporate entrepreneurship and to relate them to other constructs, observing their repercussions for the firm.

In the field of business, digital transformation is the integration of digital technology into all areas of business, from generating to deliver value to customers. This concept is essential for sustainable growth of a company and its overall economy. Based on this fact, this authentic and informative research is conducted whose major aim is to examine the importance of digital transformation within a business through big data, the Internet of things and blockchain-based capabilities for overall strategic performance within the telecom sector in China.

For that aim, data quality and technology competence are considered as independent variables, strategic performance as dependent variable and big data analytics capabilities, Internet of things capabilities and blockchain capabilities routinization acted as mediators within this paper. In its data collection mechanism, an online survey was conducted in which questionnaires are randomly distributed to the telecom sector's professionals in which only 343 of them gave their valid outcomes. After collecting primary data, confirmatory factor analysis (CFA) and structural equation modeling (SEM)–based statistical outcomes have been generated.

Results indicate that there is a significant relationship between data quality and strategic performance and between technological competence and strategic performance. Also, the big data analytics and Internet of Things capabilities acted as significant mediating role between both independent and dependent variables. But blockchain capabilities routinization is that variable that acts as an insignificant mediator between independent and dependent variables' relationship.

Overall, this study is an informative and attractive source for the Chinese government, its telecom industry, administrative body and related ones to understand the importance of such IT capabilities' implications within their operating activities for their strategic performance management. Also, related field scholars can utilize its reliable data in their research analysis. Its major limitations are (1) lack of qualitative/ mixed method of research and (2) lack of comparative analysis that may impact the acceptability factor of this paper, and this weakness can be overcome by upcoming scholars in their research.

The “VUCA world” is an environment characterized by unprecedented levels of volatility, uncertainty, complexity, and ambiguity (VUCA). In such a turbulent environment, corporate entrepreneurship is key for all businesses, especially family firms. Corporate entrepreneurship is a concept that enables innovation, growth, and competitive advantage over competitors. It is a driving force for organizations to make changes in their structures and operations to respond to changes by using the limited resources they have in the environments in which they operate and to reduce the negative effects of shortening product life cycles. Family firms, which have an important place in the economies of countries, are indispensable players in economic activities, they need to think more strategically, and innovative and have an entrepreneurial perspective in ensuring their adaptation for competitive and growth purposes. In this study, the relationship between the place of family firms in the VUCA world and corporate entrepreneurship was tried to be established, and the corporate entrepreneurship of family firms was examined in line with their corporate logic. For this purpose, the news on the corporate websites of seven family companies operating in Türkiye and included in the 2023 Family Business Index was analyzed by content analysis method. Data were coded with thematic coding and findings were revealed. Common types of logic in family firms are market logic and efficiency and savings logic, with a hybrid characteristic consisting of a combination of market logic and efficiency and savings logic.

Research on social media frequently analyze social media usage (SMU)'s positive consequences for organizations and individuals; however, recent innovation studies caution that SMU may not always lead to positive new product development (NPD) outcomes. The competing streams of research highlight a fundamental tension that exists in the social media literature exemplified by the question: Is SMU good or bad for NPD? In this manuscript, the authors suggest that a more appropriate question as follows: What are the positive and negative indirect effects of SMU on NPD performance? The purpose of this paper is to discuss the aforementioned points in detail.

A literature review provides the model and hypotheses. Using a sample of 168 Chinese firms, the authors conducted an empirical test following multiple regression analysis.

The results demonstrate that SMU facilitates business analytics (ability) and social legitimacy (opportunity) but impairs entrepreneurial proclivity (motivation). These three constructs in turn mediate the effect of SMU on NPD performance. Moreover, this paper explores how technological turbulence moderates SMU's effects on business analytics, entrepreneurship proclivity and social legitimacy.

The results may be affected by both the context (solely in China) and type (cross-sectional) of the data set. Future research might take a decompositional approach to study SMU's effect on innovation in different NPD stages. Furthermore, with widely varying purposes (e.g., marketing, information searching, partner collaboration, new product launch, etc.), there is certainly a need for more clarity and understanding of how firms can leverage each of these different social media activities for successful NPD.

First, we suggest that managers in China should be explicitly aware of the double-edged sword effect of SMU on NPD performance. Second, this study encourages managers to use social media carefully when technological turbulence becomes intense.

Drawing on the ability–motivation–opportunity framework, this is one of the first studies to simultaneously examines the benefits and costs of SMU for NPD. In addition, this paper bridges the separate literatures on social media, business analytics, entrepreneurial proclivity and social legitimacy and contributes to the NPD research.

The purpose of this article is to study the moderating effect of absorptive capacity, defined as the set of organizational routines and processes through which companies acquire, assimilate, transform and exploit knowledge to produce a dynamic organizational capacity (Zahra and George, 2002), in three strategic orientations: market orientation; technology orientation and entrepreneurial orientation and their positive relationship in the performance of the medium and large Mexican manufacturing firms. Likewise, it is determined whether these three combined SOs influence firm performance.

The data was collected from 171 medium and large-sized Mexican manufacturing firms. The proposed hypotheses are tested using partial least square structural equation modeling (PLS-SEM).

Despite the importance of knowledge for the development of firms, the results indicate that the moderating effect of absorptive capacity is only present in the relationship between entrepreneurial orientation and firm performance. That is, firms cannot take advantage of knowledge simultaneously between the three strategic orientations. For their part, market orientation and entrepreneurial orientation exert a positive influence on firm performance.

The main practical implication for the manufacturing industry is that they must develop mechanisms to detect what kind of knowledge affects each strategic orientation, in this way it can make the absorptive capacity influence the relationships between SO and FP.

The main contribution consists of studying the moderating effect of the absorptive capacity on the relationship between three strategic orientations and firm performance, and not concentrating solely on the simultaneous use of these strategies as is commonly done.

Drawing on the technology-organization-environment (TOE) framework, this study aims to investigate determinants of performance of artificial intelligence (AI) adoption in hospitality industry during COVID-19 and identifies the relative importance of each determinant.

A two-stage approach that integrates partial least squares structural equation modeling (PLS-SEM) with artificial neural network (ANN) is used to analyze survey data from 290 managers in the hospitality industry.

The empirical results reveal that perceived AI risk, management support, innovativeness, competitive pressure and regulatory support significantly influence the performance of AI adoption. Additionally, the ANN results show that competitive pressure and management support are two of the strongest determinants.

This research offers guidelines for hospitality managers to enhance the performance of AI adoption and presents policy-making insights to promote and support organizations to benefit from the adoption of AI technology.

This study conceptualizes the performance of AI adoption from both process and firm levels and examines its determinants based on the TOE framework. By adopting an innovative approach combining PLS-SEM and ANN, the authors not only identify the essential performance determinants of AI adoption but also determine their relative importance.