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This paper aims to the identification of journal articles that probably report on interdisciplinary research at Wageningen University & Research (WUR).

For identification of interdisciplinary research, an analysis is performed on journals from which articles have been cited in articles (co-)authored by WUR staff. The journals with cited articles are inventoried from the reference lists of the WUR articles. For each WUR article, a mean dissimilarity is calculated between the journal in which it has been published and the journals inventoried from the reference lists. Dissimilarities are derived from a large matrix with similarity values between journals, calculated from co-occurrence of these journals in the WUR articles’ reference lists.

For 21,191 WUR articles published between 2006 and 2015 in 2,535 journals mean dissimilarities have been calculated. The analysis shows that WUR articles with high mean dissimilarities often are published in multidisciplinary journals. Also, WUR articles with high mean dissimilarities are found in non-multidisciplinary (research field-specific) journals. For these articles (with high mean dissimilarities), this paper shows that citations are often made to more various research fields than for articles with lower mean dissimilarities.

Identification of articles reporting on interdisciplinary research may be important to WUR policy for strategic purposes or for the evaluation of researchers or groups. Also, this analysis enables to identify journals with high mean dissimilarities (due to WUR articles citing more various research fields). Identification of these journals with a more interdisciplinary scope can be important for collection management by the library.

Highly committed, motivated and engaged employees assure organizational success and competitiveness. The study aims to examine the association between human resource development (HRD) practices and employee engagement with organizational commitment as a mediating variable.

Data were collected from 760 employees of 13 star-rated hotels comprising 5 (five-star) and 8 (four-star). The data supported the hypothesized relationships. Structural equation modeling was used to evaluate the proposed model and hypotheses. Construct validity and reliability were established through confirmatory factor analysis.

The results indicate that HRD practices and affective commitment are significantly associated. HRD practices and continuance commitment were shown to be non-significantly associated. HRD practices and normative commitment were shown to be non-significantly associated. Employee engagement and organizational commitment are significantly associated. The results further show that organizational commitment mediates the association between HRD practices and employee engagement.

The generalizability of the findings will be constrained due to the research's hotel industry focus and cross sectional data.

The study's findings will serve as valuable pointers for stakeholders and policymakers of the hotel industry in the adoption, design and implementation of proactive HRD interventions to keep highly engaged and committed employees for organizational competitiveness and sustainability.

By evidencing empirically that organizational commitment mediates the nexus between HRD practices and employee engagement, the study extends the literature.

Acknowledging, on the one hand, the increasing fragility of supply chains and the number of risks involved in supply chain operations and, on the other hand, the role of small- and medium-sized enterprises (SMEs) in supply chains and the high exposure of these firms to risks of different types, this study aims to examine the relationship between supply chain risk management (SCRM) and innovation performance in SMEs. Furthermore, the impact of technological turbulence on this relationship was studied to take into account recent technological changes.

Structural equation modelling was carried out on a sample of Turkish SMEs to test the hypotheses developed.

The findings presented allow the authors to better understand the link between SCRM and innovation performance in SMEs. More precisely, empirical evidence is provided about the impact of SCRM components such as maturity and ability on innovation performance. Furthermore, the findings show the impact of technological turbulence on both SCRM and innovation performance.

By focusing on SCRM in SMEs, this paper contributes to the body of knowledge with regard to SCRM in general and with regard to SMEs in particular; research on the latter has only started recently. Moreover, by having studied SMEs from a developing country (other than China), this paper helps to develop a broader and more diverse perspective of SCRM.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

The primary purpose of this study is to integrate the stimulus-organism-behavior-accomplishment (S-O-B-A) paradigm to investigate the chain effect of university students' perceived university and family support on their entrepreneurial action (EA) with a serial mediation of their attitude and intention.

This study introduces stratified random sample to choose respondents and a cross-sectional research design. partial least square-structural equation modeling (PLS-SEM) has applied to thoroughly investigate the behavioral intention concerned with students' entrepreneurship action.

The findings explored that perceived university support and family supports positively impact students' entrepreneurship attitude, where perceived family support creates statistically more powerful implications than university support. Students' attitude toward entrepreneurship positively affects their entrepreneurial intent, and finally, the entrepreneurial pursuit has an affirmative impact on students' EA.

This study incorporates the S-O-B-A paradigm for the very first time to investigate the effects of students' environmental support on their EA with double mediation by their attitude and intention.

The purpose of this paper is to measure the perception and satisfactions of consumers of the tourism product of Kashmir region and identify potential niche markets that could be used in the development of the destination’s positioning strategy.

The author used a case study methodology. Self-completion questionnaires were distributed to tourists visiting Kashmir region at the peak of the 2018 tourism season. The scales used were adapted from two authoritative sources. Data from 479 completed questionnaires were analysed quantitatively by a variety of statistical techniques, including factor analysis.

Four possible niche markets are identified that can inform the development of the destination’s positioning strategy: nature based, adventure, cultural and culinary. The overall conclusions and discussion of the findings should provide a case-based framework for the practical planning and implementation of positioning strategies in the tourism context.

The time frame of the study was five summer months in one year, and only actual visitors completed the questionnaire. The study did not assess their evaluation of the quality of the services provided and consumed.

The overall conclusions and discussion of the findings should provide a case-based framework for the practical planning and implementation of positioning strategies in the tourism context.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。

As Chinese Generation Z consumers have distrust over traditional advertising and marketing, this study focuses on user-generated content (UGC) travel apps to demonstrate the structural relationship among the expertise of amateur information publisher, interactive atmosphere, information quality, expectation confirmation, perceived trust, experiential satisfaction and switching intention.

This study carried out a questionnaire-based survey among Chinese Generation Z consumers and obtained 356 valid questionnaire copies that were analyzed with the structural equation.

The expertise of amateur information publisher and the interactive atmosphere of UGC travel apps have positive effects on perceived trust; expectation confirmation and perceived trust have positive effects on experiential satisfaction, and experiential satisfaction has negative effects on switching intention.

The results should encourage UGC travel app developers to use visual effects so as to achieve a higher quality of information, foster a cordial interactive atmosphere and enhance the expertise of information publishers by selecting the best candidate, thus spurring the design of marketing activities popular among the Chinese Generation Z consumers.

This study argues that new-generation consumers have their specific appeals and in the tourist market. It explores the UGC travel apps, which are popular among Generation Z consumers in order to deepen marketing personnel's understanding of the relationship among the expertise of amateur information publisher, interactive atmosphere, information quality, expectation confirmation, perceived trust, experiential satisfaction and switching intention.

Collaboration between universities and industry is increasingly perceived as a vehicle to enhance innovation. Educational institutions are encouraged to build partnerships and multidisciplinary projects based around real-world open problems. Projects need to benefit student learning, not only the organisations looking for innovations. The context of this study is a multidisciplinary innovation project, as experienced by the students of an University of Applied Sciences in Finland. The purpose of this paper is to unfold students’ conceptions of the learning experience, to help teachers and curriculum designers to organise optimal conditions and processes, and support competence development. The research question was: How do students in higher professional education experience their learning in a multidisciplinary innovation project?

The study took a phenomenographic approach. The data were collected in the form of weekly diaries, maintained by the cultural management and social services students (n=74) in a mandatory multidisciplinary innovation project in professional higher education in Finland. The diary data were analysed using thematic inductive analysis.

The results of the study revealed that students’ understood the learning experience in relation to solvable conflicts and unusual situations they experienced during the project, while becoming aware of and claiming their collaborative agency and internalising phases of an innovation process. The competences as learning outcomes that students could name as developed related to content knowledge, different personal characteristics, social skills, emerging leadership skills, creativity, future orientation, social skills, technical, crafting and testing skills and innovation implementation-related skills, such as marketing, sales and entrepreneurship planning skills. However, future orientation and implementation planning skills showed more weakly than other variables in the data.

The findings suggest that curriculum design should enable networked, student-led and teacher supported pedagogical innovation processes that involve a whole path from future thinking and idea development through prototyping to implementation planning of the novel solution. Teachers promote deep comprehension of the innovation process, monitor and ease the pain of conflict if it threatens motivation, offer assessment tools and help in recognising gaps in individual competences and development needs, promote more future-oriented, concrete and implementable outcomes, and facilitate in bridging from innovation towards entrepreneurship planning.

The multidisciplinary innovation project described in this study provides a pedagogical way to connect higher education to the practises of society. These results provide encouraging findings for organising multidisciplinary project activities between education and working life. The paper, therefore, has significant value for teachers and entrepreneurship educators in designing curriculum and facilitating projects. The study promotes the dissemination of innovation development programmes in between education and work organisations also in other than technical and commercial fields.

As online course enrollments increase, it is important to understand how common course features influence students' behaviors and performance. Asynchronous online courses often include a discussion forum to promote community through interaction between students and instructors. Students interact both socially and cognitively; instructors' engagement often demonstrates social or teaching presence. Students' engagement in the discussions introduces both intrinsic and extraneous cognitive load. The purpose of this study is to validate an instrument for measuring cognitive load in asynchronous online discussions.

This study presents the validation of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions in an introductory physics course.

The instrument demonstrated reliability for a model with four subscales for all five discrete tasks. This study is foundational for future work that aims at testing the efficacy of interventions, and reducing extraneous cognitive load in asynchronous online discussions.

Nonresponse error due to the unincentivized, voluntary nature of the survey introduces a sample-related limitation.

This study provides a strong foundation for future research focused on testing the effects of interventions aimed at reducing extraneous cognitive load in asynchronous online discussions.

This is a novel application of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions.