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This study seeks to provide a greater understanding of the variables that influence travellers’ intention to participate in social media, paying special attention to (1) the direct impact of perceived usefulness (PU) of social media and (2) the moderating impact of tourists’ altruism and self-interest.

The proposed conceptual model was empirically tested using an online questionnaire distributed to a sample of 394 tourists visiting a World Heritage city.

The findings show that perceived social media usefulness has a significant effect on users’ intention to share experiences. Additionally, self-interest appears to moderate the relationship between perceived social media usefulness and users’ sharing intention, but the results do not support the moderating effect of altruism.

Despite scholars’ growing interest in social networks as sources of tourist information, little is known about the aspects that encourage users’ participation in these platforms. This paper offers key contributions to the relevant literature in this field and offers compelling recommendations for tour operators' management of social networks.

本研究擬讓我們更清楚了解驅使旅行人士參與社交媒體上的交流活動的變數;為求達至這研究目的，研究人員特別對以下兩方面加以注意和研究：(一) 、旅行人士對社交媒體的感知效用所帶來的直接影響;(二) 、旅行人士的利他主義，以及其對個人利益的考慮所帶來的緩和影響。

研究人員對其提出之概念模型進行實證測試，方法乃透過收集一個包含394名曾參觀世界遺產城市的旅行人士的樣本所回應的網上問卷數據，並進行數據分析。

研究結果顯示，旅行人士若覺得社交媒體是有用的話，則他們會更願意在那裡分享旅行經歷;而且，他們對自己個人利益的考慮，似會緩和他們對社交媒體的感知效用與其分享經歷的願意程度之間的關係;唯研究結果沒有證實利他主義會帶來緩和的影響。

雖然學者對社交網絡作為提供資訊的來源感到興趣，而且這興趣不斷增加，但我們對促進旅行人士參與社交網絡平台活動之因素的了解仍然淺薄，就此而言，本研究於有關的文獻提供了重要的貢獻;研究亦為旅遊經營者就應如何管理社交網絡提供了具說服力的建議。

Organizational Purpose (OP) has become increasingly important in the organizational context. This research focuses on how OP can contribute to employee motivation, using personal and institutional OP factors and considering the importance of employee motivation toward organizational success.

To conduct the research, we selected a branch of a leading multinational company in the chemical sector. Based on data collected through a questionnaire sent out to employees and using fuzzy-set Qualitative Comparative Analysis (fsQCA), we identified combinations of individual and institutional OP factors leading to high (or low) employee motivation.

The results reveal that individual and institutional OP factors synergistically promote high employee motivation. The employees' contribution to the OP and the integrity of the organization’s leadership are two key motivating factors.

Organizations struggle to develop sustainable competitive advantages in an ever-competitive environment. Focusing on the “why” instead of the “how” may help organizations differentiate and achieve higher employee motivation. This research clarifies how to turn purpose into an asset to improve employee motivation.

The conclusions highlight the need to share the OP through leadership actions and the importance of helping workers recognize the OP and its values, integrate them into their actions and feel how they contribute to its achievement.

This research aims to describe the factors influencing the tax morale of entrepreneurs in the Brazilian telecommunications industry.

The authors surveyed a sample of 167 entrepreneurs from the sector using structured online self-assessment questionnaires analyzed quantitatively through the partial least squares structural equation modeling technique.

The results indicate that risk of detection, severity of punishments and tax justice represent determining factors for the tax morale of entrepreneurs, though their age also contributes to explaining tax behavior, proving to be a significant control variable. These findings presuppose a predominance of institutional pressures from the regulatory and normative pillars on this group, in contrast to evidence from previous studies dealing with tax morale among ordinary citizens.

The theoretical implications are fourfold. The authors address a gap in the study of tax morale at the organizational level, integrate the entrepreneurship literature in specific sectors with tax policies through neo-institutional theory, support changes in the tax legislation of an emerging economy with widespread biases of corruption and add more diversity to the perceived legitimacy of its current tax system. Practical recommendations include the creation of public policies particularly targeted at younger entrepreneurs predominant in this sector to build a regulatory framework that incorporates both tax justice and severity of punishments to foster trust between taxpayers and tax authorities; using the institutional legitimacy mechanism to elicit a more isonomic performance of the tax authorities; and reevaluating the risk of detection strategies.

This paper aims to check the fragmentation of knowledge across multiple sources of evidence, identifying, scrutinizing and outlining suggestions concerning the challenges researchers face when using multiple sources of data to identify studies.

This study produced a comprehensive database of 15,848 items from Scopus, Web of Science and EBSCO on the organizational growth and decline topics. The analyses carried out to check the fragmentation of scientific knowledge and the challenges in identifying studies have made use of the basic data frame functions in R’s language and the Bibliometrix and Corpus R’s packages.

This study confirms the fragmentation of scientific knowledge as well as it identifies the following challenges: missing information in key fields, nonexistence of standards in terminology, limitations on data extraction, duplicates and multiple formats of cited reference. Additionally, it suggests practical coping procedures and advances implications for stakeholders and an agenda for future research.

This study provides valuable and practical examples with empirical confirmation of scientific knowledge fragmentation and offers an integrated view of many challenges in the process of identifying studies. Moreover, by offering suggestions to address these challenges, this study not only offers a practical guide to scientific researchers but also initiates a wider discussion regarding knowledge organizing in social sciences.

While some countries have used debt to drive economic growth, the asymmetric effect on sub-Saharan African (SSA) countries has received little attention in the empirical literature. This paper therefore examines the asymmetric effect of external debts on economic growth.

The panel nonlinear autoregressive distributed lag (NARDL) approach was employed in the study for 29 sub-Saharan African countries from 1990 to 2021. The cross-sectional dependence test was used to determine the presence of cross-sectional dependence, while the second-generation panel unit root tests was used to examine the unit-root properties.

The empirical results show that external debt has an asymmetric effect on economic growth in both the short and long run. In the long run, a positive shock in external debts of 1% triggers an upturn in economic growth by 0.216% while a negative shock triggers 0.354% decline in economic growth. This implies that the negative shock of external debts has a much stronger impact on economic growth than the positive shock. In the short run, a positive shock in external debts by 1% triggers a decline in economic growth by 0.641%, while a negative shock of 1% triggers a fall in economic growth of 0.170%.

The paper used the NARDL model to examine the asymmetric impact of external debt on the economic growth of SSA countries, which has not been extensively studied. It is recommended that governments in the selected countries in sub-Saharan Africa should drive economic growth by promoting domestic revenue mobilization since external debts impede economic growth.

Achieving better performance and a sustainable competitive advantage is essential for survival in the hotel industry. However, literature is scarce on which factors local hotel businesses in developing countries should rely on to compete successfully. With an emerging economy and significant potential for growth in the travel and hospitality sectors, Colombia is seeking to improve the performance of its hotel industry. To achieve this goal, exploring and analyzing the effects of the strategies and practices implemented is essential. Accordingly, this study investigates the dynamics of the interactions between strategies, process innovations, outsourcing practices and operational quality in the hotel industry in Colombia.

The methodology used in this research is quantitative, using structural equation modeling based on data collected from 150 valid questionnaires.

The strategies of the hotel sector have an impact on hotel performance. Although process innovation demonstrably affects quality and outsourcing, there is a low impact on the performance of the studied hotels. The hotel sector lacks strategy autonomy as strategies are not directed to the organization's overall improvement but only to satisfy stakeholders' requirements.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. It provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. Additionally, it provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

Developing successful strategies is vital to generating performance. Quality and safety are critical strategies to achieve a sustainable competitive advantage. But literature is scarce on which factors local hotel businesses should rely on to compete successfully in developing countries. In particular, the concept of outsourcing in a highly distrusting developing country has not been addressed adequately. This research contributes to literature by evaluating quality as a competitive strategy in the hotel sector in a developing country to achieve a superior performance.

This study aims to understand the perceived emotions of human–artificial intelligence (AI) interactions in the private sector. Moreover, this research discusses the transferability of these lessons to the public sector.

This research analysed the comments posted between June 2022 and June 2023 in the global open Reddit online community. A data mining approach was conducted, including a sentiment analysis technique and a qualitative approach.

The results show a prevalence of positive emotions. In addition, a pertinent percentage of negative emotions were found, such as hate, anger and frustration, due to human–AI interactions.

The insights from human–AI interactions in the private sector can be transferred to the governmental sector to leverage organisational performance, governmental decision-making, public service delivery and the creation of economic and social value.

Beyond the positive impacts of AI in government strategies, implementing AI can elicit negative emotions in users and potentially negatively impact the brand of private and government organisations. To the best of the authors’ knowledge, this is the first research bridging the gap by identifying the predominant negative emotions after a human–AI interaction.

This study aims to identify how the sustainability of Brazilian Federal Institutes of Education, Science and Technology is implemented.

The research is descriptive and quantitative, and questionnaires were used to collect data, which were applied to the campuses and deans of the 38 IFs. The sample selection resulted from a sampling calculation for a finite population, which considered the five Brazilian regions, reaching 248 respondents. To analyze the collected data, descriptive statistics were used to demonstrate the mean, standard deviation (σ) and coefficient of variation of each of the seven axes of the questionnaire and also of the axes and regions jointly; and the sustainability indicator was defined.

A majority of the analyzed FIs were considered to be medium or highly sustainable. The classifications achieved by the FIs demonstrate that sustainability practices are reasonably present in a significant number of campi and Principals’ Offices.

This study contributes by creating a data collection instrument to measure the sustainability practice, not only in educational institutions but also in any type of institution; and the sustainability indicators created, which make it possible to classify organs and entities in accordance with sustainable initiatives implemented by them.

This study’s authors can highlight the mapping of sustainability implementation in the Brazilian Federal Institutes analyzed, which, owing to the sample used, allows for the verification of similarities and differences in these practices between the five Brazilian regions, in addition to making comparisons possible.

Social entrepreneurship is a topical issue in the context of entrepreneurial intention. Our quantitative study seeks to explore the complex and dynamic nexus of the ever-evolving landscape of entrepreneurial intentions, which results in socioeconomic development through the mediating influence of entrepreneurial knowledge.

The South Asian region was considered a research population, considering its characteristics and inclination toward social entrepreneurial activities. The required data were collected using an online survey questionnaire. 330 questionnaires were mailed online to the targeted participants, and 239 responses were received and analyzed using SPSS and AMOS software.

The study found a significant positive relationship between entrepreneurial intention and socioeconomic development. A 1% improvement in entrepreneurial intention corresponds to a 40% increase in socioeconomic development and 17% enhancement in entrepreneurial knowledge. Our study also demonstrates that a 1% improvement in entrepreneurial intention brings about a substantial improvement of 26% in socioeconomic development when mediated by entrepreneurial knowledge.

It is recommended that intentional learning spaces focus on intensifying social entrepreneurial intention and develop mechanisms for knowledge transfer platforms to facilitate knowledge sharing among social entrepreneurs. Organizations may support and take initiatives to bridge the gap between experienced and novice social entrepreneurs. Institutions may introduce incentive structures that promote sustainable entrepreneurship, highlight social entrepreneurs’ success stories, and emphasize the linkage between intention, knowledge, and positive societal outcomes.

Owing to the lack of literature and inadequate empirical research, our study was articulated to enhance existing knowledge and postulate the basis for high-order empirical studies in the context of social entrepreneurial intention backed by entrepreneurial knowledge. Moreover, this study provoked entrepreneurial intention based on the theory of planned behavior with the mediating influence of entrepreneurial knowledge, which adds a distinctive dimension to social entrepreneurial intention, enhances research originality, and provides practical implications for individuals seeking to thrive in dynamic environments.

The primary aim of this study is to provide actionable guidance for augmenting profitability in photovoltaic power plant investments within Iran’s solar energy sector. By emphasizing prudent capital management and strategic investment decisions, our research seeks to assist emerging businesses in attaining sustained success in this domain.

This study presents a comprehensive approach to refined decision-making in Iran’s solar energy sector. Our methodology integrates the best-worst method, ArcGIS software for site selection, and the TOPSIS method for decision-making, aiming to enhance precision and reliability.

Our research has identified ten promising regions suitable for photovoltaic power plant installations in Iran. Leveraging the TOPSIS method, we have made optimal selections among these alternatives. Furthermore, our exhaustive cost analysis, incorporating factors like land prices, system maintenance, revenue estimation, and various financial scenarios, has yielded insights into project cost-effectiveness.

By filling a notable gap in the literature regarding optimal site selection and investment strategies for photovoltaic power plants in Iran, our research contributes to the sustainable development of solar energy infrastructure. Through a thorough literature review and the development of a novel methodology, we offer valuable guidance for businesses and investors seeking success in Iran’s solar energy sector. Our study represents a significant advancement by introducing a novel methodology that integrates the best-worst method, ArcGIS software, and the TOPSIS method for site selection and investment analysis. These findings furnish valuable guidance for businesses seeking success in the solar energy sector, thereby contributing to the sustainable development of renewable energy infrastructure in Iran and beyond.