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This study aims to highlight the importance of developing academic research in tourism and hospitality management into a more responsible approach, applying a multistakeholder model. This multistakeholder approach forces the tourist community to be considered when identifying the gaps and impacts of academic research.

This study suggests action research as one of the appropriate methodological approaches for conducting responsible research, as action research allows challenges to be overcome through the interaction of researchers and stakeholders. Principles of responsible research are indicated and exemplar studies that use action research are described.

Proposals and recommendations for responsible research are identified, such as demand-driven research, action research as a methodological approach and a way to address societal challenges, and the importance of considering the research ecosystem. In addition, some advantages (funding, reputation and legitimacy) and barriers (resources and publication) of responsible research are explained.

Practical implications are described. Conducting responsible research is oriented toward identifying real practical implications proposed and validated by the tourist community instead of being proposed solely by the researchers.

This paper emphasizes the need to work together with the tourist community and their stakeholders to enhance the real societal impact of academic research in tourism and hospitality management.

The authors would like to raise a self-critical debate for the future enrichment of research in the tourism industry. Research in this industry can contribute to solving significant societal problems. Responsible research can help scholars to be part of the solution to these challenges, working together with different tourism stakeholders.

Higher educational institutions, such as universities of applied sciences, have a significant role in promoting progress towards a sustainable future as defined by the United Nations (UN) sustainable development goals (SDGs). This paper aims to identify how the UN SDGs are featured in master’s theses set in work–life contexts.

Using a descriptive review and content analysis, this study identified the number of SDGs appearing in 31 master’s theses. Sustainable development (SD) and corporate social responsibility were reflected using the approaches and models in the literature. Finland’s eight objectives for committing to SD were used to examine the commitments made by the business school of the university of applied sciences to achieve Agenda 2030.

Emphasising the value of higher education for SD, this study found that SDGs three, eight and 12 appeared most frequently in the theses. Sustainable and responsible dimensions reflected several issues concerning both the worlds of business and industry among the firms and organisations investigated by the master’s degree students in the business school at the Jyväskylä University of Applied Sciences.

This research holds practical and pedagogical value, serving to encourage master’s and PhD students to further explore research on SDGs and to shape public policy.

Sustainability was looked at in a new way as investigated by the theses. Ways to integrate the SDGs into management degree programmes and conduct research in the fields of business administration, tourism and hospitality management were identified.

The purpose of this paper is to characterize library and information science (LIS) as fragmenting discipline both historically and by applying Whitley’s (1984) theory about the organization of sciences and Fuchs’ (1993) theory about scientific change.

The study combines historical source analysis with conceptual and theoretical analysis for characterizing LIS. An attempt is made to empirically validate the distinction between LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The origin of fragmentation in LIS due the contributions of other disciplines can be traced in the 1960s and 1970s for solving the problems produced by the growth of scientific literature. Computer science and business established academic programs and started research relevant to LIS community focusing on information retrieval and bibliometrics. This has led to differing research interests between LIS and other disciplines concerning research topics and methods. LIS has been characterized as fragmented adhocracy as a whole, but we make a distinction between research topics LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies.

The paper provides an elaborated historical perspective on the fragmentation of LIS in the pressure of other disciplines. It also characterizes LIS as discipline in a fresh way by applying Whitley’s (1984) theory.

This case aims to study the growth, evolution, and social innovation of iThrive Games, a socially minded initiative that aims to create meaningful opportunities using technology for teens to enhance the knowledge, mindsets, and skills they need to thrive through development and across the continuum of mental disorder to wellness. iThrive's focus has been on creating “meaningful games”—that is, games that promote health and well-being of teen players. Founded in 2014 by Dorothy Batten, President of DN Batten Foundation, the organization's mission was to collaborate with game developers, partner with teens across the game development cycle (ideation to testing), and provide resources to foster teen thriving through gameplay. To do so, the organization took a unique social entrepreneurial approach. Drawing on a positive psychology framework and building the brand among key stakeholders including game developers, researchers, funders, youth, educators, and parents, the organization orchestrated a community dedicated to advancing the meaningful games field, and in doing so, have widespread impact.

This paper aims to understand the current development situation of scientific data management policy in China, analyze the content structure of the policy and provide a theoretical basis for the improvement and optimization of the policy system.

China's scientific data management policies were obtained through various channels such as searching government websites and policy and legal database, and 209 policies were finally identified as the sample for analysis after being screened and integrated. A three-dimensional framework was constructed based on the perspective of policy tools, combining stakeholder and lifecycle theories. And the content of policy texts was coded and quantitatively analyzed according to this framework.

China's scientific data management policies can be divided into four stages according to the time sequence: infancy, preliminary exploration, comprehensive promotion and key implementation. The policies use a combination of three types of policy tools: supply-side, environmental-side and demand-side, involving multiple stakeholders and covering all stages of the lifecycle. But policy tools and their application to stakeholders and lifecycle stages are imbalanced. The development of future scientific data management policy should strengthen the balance of policy tools, promote the participation of multiple subjects and focus on the supervision of the whole lifecycle.

This paper constructs a three-dimensional analytical framework and uses content analysis to quantitatively analyze scientific data management policy texts, extending the research perspective and research content in the field of scientific data management. The study identifies policy focuses and proposes several strategies that will help optimize the scientific data management policy.

Seaports are vital in facilitating sustainable development, and environmental, social and governance (ESG) factors significantly impact an organization’s performance. Therefore, this study aims to identify and evaluate barriers and strategies of green investments to promote ESG practices within the seaport sector.

To fulfill this aim, a systematic literature review, interpretive structural modeling and the matrix of cross-impact multiplications were applied to classification analysis.

12 barriers were prioritized and categorized by experts in a focus group to optimize efforts and define the materiality of these barriers in implementing ESG strategies within seaport companies.

The implications of this study provide an alternative approach for ESG management in the context of seaports that can be applied in different regions by experts' opinion assessment.

No prior studies assessed the barriers and strategies for green investments in ESG from the port sector perspective.

This paper aims to examine the optimal sourcing strategies and pricing decisions of competing toy manufacturers and to discuss how manufacturers’ decisions are impacted by competition.

The authors consider a single-period model to characterise the competition between two competing toy manufacturers. Both of them are free to choose between virgin material and recycled material. The authors consider two types of consumers: sensitive consumers who are concerned about product safety and prefer the toy made of virgin material and insensitive consumers who do not care what material is used in the toy. The competing manufacturers play a Cournot competition.

The results reveal a special case of a win-win situation for both the manufacturer and the consumer. In addition, an increasing number of sensitive consumers does not always raise the price of virgin-material toys.

The authors derive the manufacturer’s equilibrium sourcing strategies, corresponding market-clearing prices and profits obtained.

The paper investigates how toy manufacturers’ optimal sourcing strategies are impacted by competition, considering market segments.

This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment with sustainable development objectives.

This study analysed 74 high-impact journals using bibliometric analysis to evaluate the well-being of India’s indigenous peoples about the SDGs.

This study analyses the well-being of tribal communities in India using existing scholarly articles and the ADO-TCM framework. It emphasises the importance of implementing Sustainable Development Goals (SDGs) to promote the well-being of indigenous populations.

This study uses bibliometric analysis and the ADO-TCM framework to investigate factors impacting tribal community welfare. It proposes theoretical frameworks, contextual considerations and research methodologies to achieve objectives.

The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.

This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc.

The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments.

Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.

We explore how sustainable management education (SME) can help prepare future leaders to manage crises effectively. Precisely, the intricacies of articulating moral and economic imperatives for businesses in a manner that engages students in sustainable behavior are a serious challenge for SME. We study how to integrate reminders of moral and economic imperatives in a socially responsible investment (SRI) stock-picking simulation created for SME.

Adopting an experimental design, we analyzed how the reminders affected the average environment social governance (ESG) integration in the portfolios of 127 graduate students in finance over a twelve-week period.

Our results show how essential it is to balance the two imperatives. The highest level of sustainable investment is attained when utilizing both reminders.

Our findings have practical implications for implementing and organizing SME in business schools to educate responsible leaders who are able to effectively manage crises. Learning responsible management is most effective when students are exposed to the inherent tension between moral and economic imperatives. Hence, our findings corroborate the win-win conception of SME.

No management decision study has experimentally measured the effects of SME practices on students' actual behavior. Our research fills this gap by complementing previous studies on the effectiveness of teaching practices, first by drawing on behavioral sciences and measuring changes in students' actual sustainability behavior and second by introducing moral and economic imperatives into an innovative teaching resource (TR) dedicated to SME.