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Within the Person-Organization fit framework and Signalling Theory, this study investigates the performance of word dictionaries detecting cultural values in online job advertisements as one form of external communication of an organization. Based upon a merge of the dictionaries, a corporate value analysis of Germany is conducted.

The study builds on a dataset (n > 151 k) of online job advertisements which were scraped from a German job portal. It was pre-processed according to natural language processing standards. For analysing the values of an organization a dictionary based word count was applied. Therefore, the current state-of-the-art dictionaries were tested, and an enhanced dictionary was developed and translated from English to German. Finally, a cluster analysis was conducted.

This study supports the possibility of measuring cultural values in texts where the enhanced dictionary based on Ponitzovskiy shows the best results. It thereby supports the use of the Universal Value Structure model (Schwartz, 1992) as well as the Signalling Theory (Guest et al., 2021), that values spread across 10 core or 4 aggregated dimensions are communicated via online job advertisements. Finally, the study offers a profile of the German corporate culture average as well as 4 cultural clusters and separate organizations, all with different profiles.

This study develops an enhanced dictionary based on a large dataset of online job advertisements for analysing the external communication of values or culture of an organization for improving the Person-Organization fit.

This study aimed to observe the effect of workplace spirituality (WPS) on employee silence. In addition, the study investigated the mediating role of workplace incivility on the relationship of WPS with employee silence. We further explored the WPS–workplace incivility link by testing the dark triad as the moderator.

We collected time-lagged data from 403 employees in the Indian hospitality industry. Statistical Package for Social Sciences (SPSS) and Partial Least Squares - Structural Equation Modeling (PLS-SEM) were used to observe the linkages among the study variables.

The results revealed that WPS is associated negatively with employee silence. The dark triad moderated the association between WPS and workplace incivility. Workplace incivility significantly mediated the association between WPS and employee silence.

The study findings would help organizations in promoting WPS to alleviate the occurrences of uncivil behavior at work and comprehend the negative consequences of workplace incivility such as employee silence.

To the best of the author’s knowledge, this study is the first of its kind to explore the linkage between WPS and employee silence. The paper makes a significant contribution by analyzing the interactive effect of personal (dark triad), environmental (WPS) and behavioral (workplace incivility) factors on employee silence.

The purpose of this study is to identify seminal research works on distance and online learning that have had significant impact on the domain.

The authors used the SCOPUS database for this study as the data source, and a well-defined search strategy retrieved the items for analysis. First, the authors identified the h-index (n = 207) of the discipline to determine the threshold for listing the top works. The authors critically analysed these classic publications using several bibliometric parameters to present the analysis. To understand the primary focus of the classic research works, the authors also carried out a keyword cluster analysis using VOSviewer.

While the USA produced maximum classic research, authors from Canada have maximum research visibility in terms of citations (n = 474.06). Canada also received the highest value of RCI (1.30), followed by Taiwan and Australia. The majority of the classics are published in 67 scientific journals. Of these, Computers and Education published the highest number with a quarter of the total citations (n = 19,403). Although e-learning was the nucleus of the research theme, the authors observed that students, learning systems, online learning, blended learning, learning management systems and computer-aided instructions dominated their influence in the research cluster.

To the best of the authors’ knowledge, this is the first of its kind work in the field of distance and online learning. Findings of this study would be useful to faculty, researchers and students in the discipline to focus on the seminal works and understand their implications better in the context of the growing significance of the discipline.

Entrepreneurial support programs, like incubators and accelerators, often offer mentorship to new ventures. However, existing research on mentoring has mainly focused on the entrepreneur's perspective, leaving researchers with limited understanding of why experienced mentors provide support to new ventures. This study aimed to explore mentors' motives in mentor–venture relationships and their impact on the advisory process. It also examined different types of mentors (social and commercial) and their motivations for assisting and supporting new ventures.

The present study utilizes a qualitative research approach to investigate the motivations and mechanisms through which new venture mentors assist founders in their growth and success. In-depth interviews were conducted with 18 mentors supporting both social and commercial ventures. These mentors were selected from ten accelerator and incubator programs situated in Belgium. The interviews aimed to gain insights into the mentors' motivations and their experiences in the role of mentors.

Based on the social exchange theory and the norm of reciprocity, this study identified two main motives of mentors: “gaining back” reflecting mentors’ self-interest in deriving benefits from the relationship and “paying back” representing their altruistic reasons for supporting new ventures. Additionally, the study identified mentor functions that primarily involved providing career-related support to new ventures. Moreover, the research revealed intriguing similarities and differences in the motivations and mentoring functions between mentors of social and commercial ventures.

Future research should explore the evaluation process and criteria used by mentors and new ventures when selecting each other for a productive mentoring relationship. Additionally, further investigation is needed to examine the firm-level impact of various mentoring services on the performance of social and commercial new ventures at different stages of development. Comparing mentor motives and functions across diverse geographical settings would address the limitation of the study and provide a more comprehensive understanding of the topic.

The findings of the study can inform policymakers, accelerator and incubator program managers and new ventures seeking mentors and support initiatives. They can use the insights to design effective mentoring programs that align with the specific needs and motivations of mentors and new ventures. Understanding the different motives and functions of mentors can help in the selection of appropriate mentors who can provide the necessary support and expertise to new ventures.

The study highlights the importance of mentorship in the development of entrepreneurial ecosystems. Accelerator and incubator programs play a crucial role in connecting new ventures with mentors who have the right motivation and expertise, contributing to the growth and success of new ventures and the overall entrepreneurial ecosystem. By identifying both altruistic and self-interest motivations in mentoring relationships, the study emphasizes the dual dimensions that characterize the mentor–venture relationship. This understanding can foster stronger collaborations and reciprocal exchanges between mentors and new ventures, ultimately benefiting both parties.

This research contributes to the entrepreneurship literature by exploring the mentor–new venture relationship from mentors' perspective. It expands the existing research on mentor–protégé relationships, broadening the understanding of mentoring dynamics in different organizational settings. The findings offer insights grounded in social exchange theory and provide directions for future research on mentor–venture relationships, resource exchange and relationship development. The study also holds practical implications for policymakers and program managers involved in fostering mentoring initiatives for new ventures.

The multiple goals make social enterprises vulnerable to mission drift, which hurts the sustainability of these hybrid organizations. As initiators, the relationship between social entrepreneurs and the mission drift of social enterprises needs to be further explored. This study aims to explore how entrepreneurs’ education and age impact social enterprise mission drift and examine the potential moderating effects of social enterprise legitimacy.

This study uses the Global Entrepreneurship Monitor data set to obtain the required samples, and further regression analysis is used to test the hypotheses.

The results showed that the more educated the entrepreneur, the lower the social enterprise mission drift. There is an inverted U-shaped relationship between social entrepreneurs’ age and mission drift. Finally, the inverted U-shaped relationship between age and mission drift was more pronounced in contexts with lower social enterprise legitimacy than high legitimacy levels.

This study highlights the significance of founders’ characteristics on the mission robustness of the social enterprises they create. At the same time, the role of social enterprise legitimacy is demonstrated in the context of this study. The findings of this research have implications for social entrepreneurs, social enterprises and policymakers.

The purpose of this paper is to explore how GenAI can help companies achieve a higher level of hyper-segmentation and hyper-personalization in the tourism industry, as well as show the importance of this disruptive tool for tourism marketing.

This paper used the Web of Science and Google Scholar databases to provide updated studies and expert authors to explore GenAI in the tourism industry. Analysing hyper-segmentation and hyper-personalization modalities through GenAI and their new challenges for tourists, tourism cities and companies.

Findings reveal that GenAI technology exponentially improves consumers’ segmentation and personalization of products and services, allowing tourism cities and organizations to create tailored content in real-time. That is why the concept of hyper-segmentation is substantially focused on the customer (understood as a segment of one) and his or her preferences, needs, personal motivations and purchase antecedents, and it encourages companies to design tailored products and services with a high level of individual scalability and performance called hyper-personalization, never before seen in the tourism industry. Indeed, contextualizing the experience through GenAI is an important way to enhance personalization.

This paper also contributes to enhancing and bootstrapping the literature on GenAI in the tourism industry because it is a new field of study, and its functional operability is in an incubation stage. Moreover, this viewpoint can facilitate researchers and companies to successfully integrate GenAI into different tourism and travel activities without expecting utopian results. Recently, there have been no studies that tackle hyper-segmentation and hyper-personalization methodologies through GenAI in the tourism industry.

The United Nations (UN) is globally acknowledged for its unique role as a convening platform to address humanitarian, peace, security and sustainable development challenges. However, it is not often associated with technological innovation. Blockchain technology, an innovation that emerged in the late 2000s, has generated animated discussions that are led, in the most part, by private sector institutions. A dearth of literature highlights the innovative blockchain projects supported by UN entities. The purpose of this study is to provide an overview of blockchain innovations supported by UN entities and explore opportunities for future studies.

This paper used an exploratory case study approach with the purpose of providing a broad perspective of blockchain innovations undertaken by UN entities in the quest to meet sustainable and equitable development across the world.

This study found 25 blockchain projects by 13 UN entities in 19 countries. The geographical spread of the case studies revealed that two studies have global jurisdiction, five studies in Africa, three in Europe, four in Latin America and the Caribbean and 11 in Asia, Oceania and the Middle East. Of the 19 countries, three had two projects each. Two countries had three projects and the rest had one project each. Of the 13 UN entities, three dominated with UNICEF (part of six projects), UNDP (part of 10 projects) and WFP (part of four projects). Finally, the 25 projects were divided among three categories of blockchain use cases, as defined by UN guidance documents. Five case studies focused on immutable record keeping, five on transfer of value and 15 on smart contracts.

This study offers a unique overview of blockchain efforts within UN entities. It provides a platform for future studies to reveal implicit assumptions, contrasting explanations and casual connections.

This study social based on cognitive theory (SCT), aims to better understand how transformational leadership affects team-level knowledge sharing and absorptive ability in the construction industry. It also examines the moderating influence of the AI-based virtual assistant on the indirect relationship between transformational leadership and team innovation through knowledge sharing and absorptive ability at the team level.

This study used a simple random sample approach to gather data from several small and medium-sized construction firms in Anhui Province, China. A total of 407 respondents, including 89 site engineers and 321 team members, provided their responses on a five-point Likert scale questionnaire.

The findings showed that AI-based virtual assistants significantly moderated the direct and indirect association between transformational leadership and knowledge sharing, and subsequently with team innovation. Unexpectedly, the findings showed that AI-based virtual assistant did not moderate the direct relationship between transformational leadership and team-level absorptive capacity.

This study adds a fresh perspective to the literature on construction management by examining team innovation driven by transformational leadership through an underlying mechanism. It is unique in that it uses the team adaptation theory to investigate the understudied relationship between transformational leadership and team innovation in the construction industry.

As per the vision of promoting agricultural collectives, the government of India promoted the farmer producer organization (FPO). However, with the fast growth of FPOs, there is an issue with performance measurement. This study is aimed at the development of performance metrics for the FPOs.

In the first stage, we selected the measures from a secondary literature review and identified 11 parameters. Further, the Delphi round was conducted in the second stage with 26 experts working with FPOs and they were asked to rank these parameters. Based on the weightage of each parameter, the most important parameters were decided. The mean ranks and deviations of the performance parameters were analyzed. The hypothesis test and Kendall’s coefficient of concordance have been further used to validate the performance parameters. In the third stage, based on the inputs from the experts, a questionnaire was designed, and the data was collected from chief executive officers (CEOs) of the FPOs to identify the most important performance parameters.

The experts identified governance, financial support and professional management as important measures for FPOs. In the second round of the study, finance and governance were identified as the most important factors. It is important to note that finance and governance were the two most important factors in making an FPO successful. Finally, a 100-point metric was developed in seven major heads.

This study will be advantageous for all the stakeholders involved in the promotion of FPOs, including FPOs themselves, funding agencies providing funds to FPOs, skill-building organizations, etc.

This paper is one of its kind to develop a 100 points metrics for performance evaluation of FPOs.

Fierce competition among over-the-top (OTT) platforms has rendered branding a precondition for consumer appeal. This study proposes a new structural equation model for OTT brands, especially Netflix, where hedonic and eudaimonic entertainment motives function as facilitators of consumer brand engagement.

An online survey was conducted. Structural Equation Modeling was used to build the model and test for various direct, mediation, and moderation effects.

The results suggest a multiple mediation model in which the relationship between the two types of entertainment and intention to use Netflix is sequentially mediated by consumer attention and consumer brand engagement. Moreover, this study confirms that female consumers, compared to male consumers, exhibit higher levels of consumer brand engagement when motivated by hedonic entertainment.

This is the first study to present a novel structural model for the content consumption of OTT brands and test the role of the two types of entertainment in the intention to use Netflix.