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This paper aims to produce a framework for climate-smart agriculture (CSA) in the Yangambi landscape, Democratic Republic of the Congo (DRC). This would enable the authors to identify agricultural practices, assess vulnerability to climate change, identify options for improving agricultural systems from a climate change mitigation and adaptation perspective and finally provide climate-smart agricultural options.

The study used household survey methods of data collection. The data were collected using a structured questionnaire survey by interviewing 250 farm households, subdivided using three axes of the Yangambi landscape. Fisher’s exact test was used to determine relationships between two or more variables.

Results of the survey revealed that the vast majority (98%) of respondents perceived changes in temperature, rainfall and weather patterns. Reduction of crop yields and the emergence of new weed species and new crop pests are the main impacts on agricultural activities. Although 87.6% of respondents have no means of adaptation and resilience, some of them use crops rotation, fallow practice, fertilizers and bio-pesticides. A framework for CSA is proposed for the Yangambi landscape.

Policies and strategies to promote CSA in the study area should take into account local farmers' perceptions of climate change and consider first the adequacy of CSA practices for the specific conditions of the target area before its promotion. This study is thus useful for many REDD+ initiatives that are currently being promoted in DRC and particularly in the Tshopo Province.

This study is one of the first studies to focus on CSA in the Yangambi landscape, DRC. It assists the use of agriculture as a response to reducing deforestation while at the same time lowering agriculture’s carbon footprint and promoting a resilient and more productive farming system.

Industry 4.0 or the Fourth Industrial Revolution is characterized by robotic process automation and machine-to-machine communications. Since computers, machines, and robots share information and knowledge more swiftly and effectively than humans, the question is what human beings' role could be in the era of the Internet-of-Thing. The answer would be beneficial to institutions for higher education to anticipate. The literature reveals a gap between the intended learning outcomes in higher education institutions and the needs of employers in Industry 4.0. Evidence is shown that higher education mainly focused on knowledge (know-what) and theory-based (know-why) intended learning outcomes. However, competent professionals require knowledge (know-what), understanding of the theory (know-why), professional (know-how) and interpersonal skills (know-how and know-who), and need intrapersonal traits such as creativeness, persistence, a result-driven attitude et cetera. Therefore, intended learning outcomes in higher education should also develop interpersonal skills and intrapersonal characteristics. Yet, personality development is a personal effort vital for contemporary challenges. The history of the preceding industrial revolutions showed the drawbacks of personality and character education; politicians have abused it to control societies in the 19th and 20th centuries. In the discussion section, the institutions for higher education are alerted that the societal challenges of the twenty-first century could lead to a form of personality education that is not in the student's interest and would violate Isaiah Berlin's philosophical concept of ‘positive freedom’.

This study aims to explore how haute cuisine excellence is and can be self-represented on the websites of three-star restaurants and juxtaposed onto the websites of external authoritative food guides.

In total, 26 French Michelin three-star restaurant websites and their reviews in the prominent Michelin and Gault and Millau dining guides were examined. This data was then processed using lexicometric software.

Five semantic universes emerged, showing that restaurants and dining guides do not emphasize the same elements of culinary excellence. While restaurant websites emphasize the charismatic leadership role of the chef through family history, professional recognition and vicarious learning, the two iconic guides are far from rating the criteria they claim to: For the Michelin Guide, criteria other than cuisine appear central. Conversely, Gault and Millau, far from its nouvelle cuisine principles advocating democratization at lower cost, insists on fine products.

It remains essential for restaurants to use a repertoire of cultural components and symbols, capitalize on the charismatic and architectural roles of their chef and showcase fine products that are representative of classical cuisine. Storytelling and dynamic narrative add-ons, regularly updated on large-audience social media, appear central to increasing restaurants’ perceived value, communicating innovation and attesting to their singularity and uniqueness.

To the best of the authors’ knowledge, this is the first empirical study to overlap the lexical perspectives of three-star restaurants and iconic guides’ websites.

The “academic revolution” that has taken place over the past 50-60 years has brought about many opportunities, but also challenges, in the lives of academics. The “publish or perish” phenomenon can be seen as one manifestation of the heated competition among universities for talent and resources. The resulting increase in publications, the decrease in the time academics have to read them, together with editors’ call for more originality, innovation, and meaning in submitted manuscripts lead to two questions. What techniques can help researchers and PhD students to effectively and efficiently navigate through large bodies of literature? What tools and techniques can be used to enhance the foundations for theorising? The purpose of this paper is to answer these two interrelated questions.

The abstracts of 410 peer-reviewed journal articles connected to ethics in (international) marketing research are explored with software tools. The freely available VOSviewer software is used to visualise the specified body of literature. NVivo is employed to go deeper and explore specific themes identified through VOSviewer.

A total of 17 clusters were identified, representing the major themes in the selected body of literature. Additionally, a number of research avenues and research questions are presented.

The analysis is based on the information provided in abstracts. Future research may wish to extend the analysis to full articles.

The paper contributes by demonstrating how software tools such as VOSviewer and NVivo can be used to explore large bodies of literature and to experiment with research ideas to enhance the foundations for theorising.

This work aims to determine how innovation orientation (IO), built from six dimensions (strategic, structural-process, human resources, technological, organizational culture and market) affects organizational performance (OP) with the inclusion of knowledge management (KM) as a mediator and technological readiness (TR) as a moderator in the model.

Questionnaires completed by business service companies were analyzed using multiple regression analysis (path analysis), including the mediating variable (KM) and moderating variable (TR). The construct was validated with positive outcomes.

Of the eight hypotheses, six were supported. The study results show that strategic, technological, organizational culture and market dimensions of IO positively influence KM. On the other hand, KM plays an important role as a mediator in supporting the relationship between the four dimensions of IO and performance. Moreover, TR, as a moderator, positively affects the relationship between KM and OP.

The study is the first to explore the relationship between six dimensions of IO and KM in business service sector. Furthermore, this study provides evidence that TR can be beneficial for companies with respect to effective KM, which leads to the better performance.

Companies are increasingly benefiting from artificial intelligence (AI) applications in various domains, but also facing its negative impacts. The challenge lies in the lack of clear governance mechanisms for AI. While documentation is a key governance tool, standard software engineering practices are inadequate for AI. Practitioners are unsure about how to document AI, raising questions about the effectiveness of current documentation guidelines. This review examines whether AI documentation guidelines meet regulatory and industry needs for AI applications and suggests directions for future research.

A structured literature review was conducted. In total, 38 papers from top journals and conferences in the fields of medicine and information systems as well as journals focused on fair, accountable and transparent AI were reviewed.

This literature review contributes to the literature by investigating the extent to which current documentation guidelines can meet the documentation requirements for AI applications from regulatory bodies and industry practitioners and by presenting avenues for future research. This paper finds contemporary documentation guidelines inadequate in meeting regulators’ and professionals’' expectations. This paper concludes with three recommended avenues for future research.

This paper benefits from the insights from comprehensive and up-to-date sources on the documentation of AI applications.