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Despite the relevance of how enterprise architecture (EA) contributes to organizational performance in contemporary digital technology-driven strategic renewal, little is known about the position of EA artifacts. Therefore, this study aims to build an integrative model of EA artifact-enabled EA value supplemented with a research agenda to enhance our understanding further.

This study leveraged grounded theory techniques and a systematic review approach to develop the integrative model and research agenda.

We inductively build a model of the position of EA artifacts in EA value creation. Additionally, we elaborate a research agenda that proposes (1) an investigation of the role of an EA practice in successful strategic change, (2) an examination of how to manage EA practice value generation and (3) longitudinal research to gain insight into the evolution of value creation by EA practices.

This study presents a model of EA artifact-enabled EA value, thereby contributing to our understanding of the mechanisms, inhibitors and success factors associated with EA value. Following our model, the proposed research agenda contains future research areas to help us better understand the mechanisms and interrelatedness of EA practices in highly dynamic environments.

The paper presents an approach for defining ICT investment proposals. The approach was developed on the authority of the Dutch Ministry of Transport, Public Works and Water Management. The Ministry was confronted with a growing amount of ICT investment proposals. Since there was no format for describing a proposal and no procedure for obtaining the data on the basis of which a proposal was described, the decision to select proposals for funding missed any kind of rationality. Proposals differed enormously and hence were incomparable. The evaluation of existing ICT assessment methods showed that there was not any method that would meet the expectations and demands of the Ministry. The main points of criticism concentrated on the limitation of applying a fixed set of data for describing a project proposal and the absence of a process to support the selection of a meaningful set of data to describe a project. Inspired by the multi‐criteria score method of Parker a tailor‐made approach for defining ICT investment proposals was developed, taking into account the characteristics of the governmental organization. In this paper, the approach as well as the developmental process with regard to this approach are presented. The overall conclusion is that a tailor‐made approach, which is developed with the full cooperation of the user organization, has considerable advantages since local knowledge and expertise is incorporated in this type of approach.

The purpose of this paper is to identify information governance (IG) requirements in the context of dynamic business networking (BN).

For the identification of IG requirements a systematic literature review is conducted. The practical significance of identified IG requirements is evaluated through a case study.

A comprehensive list of IG requirements in dynamic BN is identified. These requirements are classified in information quality, information security, and metadata domains. The conducted case study demonstrates information exchange issues in a real world dynamic BN that reflects the practical significance of the identified IG requirements.

Exploiting emerging market opportunities through a dynamic BN necessitates the realization of a comprehensive IG program within the network. Otherwise, information exchange related risks can interrupt the operations in a BN. In this research the authors concentrate on interactions between parties within a BN. The interactions with customers for the co-creation of value are not addressed directly. Although the conducted case study reflects the practical significance of the identified IG requirements clearly, more empirical study is needed for prioritizing these IG requirements.

The governor of a BN needs to balance between the value obtained from dynamic networked interactions and the risk evolving from the dynamic inter-organizational information exchange.

The comprehensive list of IG requirements that are identified in this research can be used to develop an IG program that enables high quality and secure information exchange in a dynamic BN.

The aim of this paper is the analysis of teenage consumers with varying degrees of healthy and unhealthy lifestyle habits and different healthy and unhealthy eating behaviours and food involvement, and its effects on packaging cues. At the same time, the paper tries to analyse the moderating role of gender.

With a sample of 589 (316 girls and 273 boys) young consumers (14–17 years old) and using SEM methodology, this paper tested a theoretical model related to the association between health, food, packaging cues and gender differences.

Among teenagers, healthy habits (sports) and healthy eating behaviours affect positively food involvement (p < 0.01 in both cases), and food involvement is positively related to informative packaging cues (p < 0.05). There are some differences between girls and boys. For example (1) there is a significant relationship between your consumers' sports activities and food involvement, and young consumers' healthy eating behaviours and food involvement. (2) More food-involved teenagers are those consumers that significantly read more carefully the packaging labels. Or (3) gender could be considered as a variable able to moderate the relationships between health and unhealthy lifestyle habits and eating behaviours, food involvement and packaging decisions.

The present paper tries to fulfil some literature gaps by developing a study with teenage consumers to solve three main questions/objectives: (1) Do healthy behaviours affect teenagers' food involvement? (2) Does teenagers' food involvement affect teenagers' packaging perceptions? and (3) Do girls and boys differ in their food packaging perceptions?

This study aims to investigate how small talk interaction affects knowledge sharing, examining the mediating role of interpersonal trust (affect- and cognition-based trust) and the moderating role of perceived similarity among the mechanisms of small talk and knowledge sharing.

This research conducts complementary studies and collects multi-culture and multi-wave data to test research hypotheses and adopts structural equation modeling to validate the whole conceptual model.

The research findings first reveal two trust mechanisms linking small talk and knowledge sharing. Meanwhile, the perceived similarity between employees, specifically, strengthens the affective pathway of trust rather than the cognitive pathway of trust.

This study combines Interaction Ritual Theory and constructs a dual-facilitating pathway approach that aims to reveal the impact of small talk on knowledge sharing, describing how and when small talk could generate a positive effect on knowledge sharing. This research provides intriguing and dynamic insights into understanding knowledge sharing processes.

The purpose of this study was to uncover representative emergent areas and to examine the research area of marketing, tourism and big data (BD) to assess how these thematic areas have developed over a 27-year time period from 1996 to 2022. This study analyzed 1,152 studies to identify the principal thematic areas and emergent topics, principal theories used, predominant forms of analysis and the most productive authors in terms of research.

The articles for this research were all selected from the Web of Science database. A systematic and quantitative literature review was performed. This study used SciMAT software to extract indicators. Specifically, this study analyzed productivity and produced a science map.

The findings suggest that interest in this area has increased gradually. The outputs also reveal the innovative effort of industry in new technologies for developing models for tourism marketing. Ten research areas were identified: “destination marketing,” “mobility patterns,” “co-creation,” “gastronomy,” “sustainability,” “tourist behavior,” “market segmentation,” “artificial neural networks,” “pricing” and “tourist satisfaction.”

This work is unique in proposing an agenda for future research into tourism marketing research with new technologies such as BD and artificial intelligence techniques. In addition, the results presented here fill the current gap in the research since while there have been literature reviews covering tourism with BD or marketing, these areas have not been studied as a whole.

El objetivo de esta investigación fue descubrir nichos representativos de áreas emergentes y examinar el área de Marketing, Turismo y Big Data, evaluando cómo han evolucionado estas áreas temáticas durante un período de 27 años desde 1996–2022. Analizamos 1.152 investigaciones para identificar las principales áreas temáticas y temas emergentes, las principales teorías utilizadas, las formas de análisis predominantes y los autores más productivos en términos de investigación.

Todos los artículos para esta investigación fueron seleccionados de la base de datos Web of Science. Realizamos una revisión sistemática y cuantitativa de la literatura. Utilizamos el software SciMAT para extraer indicadores. Específicamente, analizamos la productividad y elaboramos un mapeo científico.

Los hallazgos sugieren que el interés en esta área ha aumentado gradualmente. Los resultados también revelan el esfuerzo innovador de la industria en nuevas tecnologías para desarrollar modelos de marketing turístico. Se identificaron diez áreas de investigación (“marketing de destinos”, “patrones de movilidad”, “co-creación”, “gastronomía”, “sostenibilidad”, “comportamiento turístico”, “segmentación de mercado”, “redes neuronales artificiales”, “precios”, y “satisfacción del turista”).

Este trabajo es único al proponer una agenda para futuras investigaciones en investigación de Marketing Turístico con nuevas tecnologías como Big Data y técnicas de Inteligencia Artificial. Además, los resultados presentados aquí llenan el vacío actual en la investigación ya que si bien se han realizado revisiones de literatura que cubren Turismo con Big Data o Marketing, estas áreas no se han estudiado como un conjunto.

这一特定研究领域的目标是发现具有代表性的新兴领域, 并考察市场营销、旅游和大数据研究领域, 以评估这些主题领域在1996年至2022年的27年间是如何发展的。我们分析了1152项研究, 以确定主要专题领域和新兴主题、使用的主要理论、主要的分析形式以及在研究方面最有成效的作者。

本研究的文章都是从Web of Science数据库中选出的。我们进行了系统化的定量文献审查, 并使用SciMAT软件来提取指标。具体来说, 我们分析了生产力并制作了一个科学研究地图。

研究结果表明, 人们对这一领域的兴趣已经逐渐增加。本文也揭示了工业界在开发旅游营销模式的新技术方面的创新努力。研究确定了十个研究领域：“目的地营销”、“流动模式”、“共同创造”、“美食”、“可持续性”、“游客行为”、“市场细分”、“人工神经网络”、“定价 “和游客满意度”。

这项研究的独特之处在于提出了未来利用大数据和人工智能技术等新技术进行旅游营销研究的议程。此外, 本文的结果填补了目前的研究空白, 因为虽然有文献综述涉及旅游与大数据或市场营销, 但这些领域还没有被作为一个整体来研究。

Research in tourism and hospitality industry marketing has identified many highly effective applications of social media. However, studies in the existing literature do not enable a comprehensive understanding of this phenomenon because they lack a theoretical foundation. Therefore, this study systematically reviewed the literature from the perspective of the task-technology fit (TTF) theory. The purpose of this paper is to map out what is known about social media use in tourism and hospitality marketing and what areas need further exploration.

A descriptive cumulative review of the literature obtained 99 articles published in tourism and hospitality journals from 2010 to 2019.

The analysis suggests that to understand social media use in tourism marketing, researchers and practitioners in the industry must clarify the following four issues: the control variables, longitudinal analyzes and TTF concepts that should be used in future studies; the fitness of social media platforms for tourism marketing; how various social media platforms differ in terms of performance outcome; and the digital divide in the use of social media for tourism.

An integrated framework was developed to identify constructs and to understand their relationships. Recent studies in this domain are discussed; theoretical and practical suggestions and implications for future research are given.