Forthcoming Articles

International Journal of Services Operations and Informatics

International Journal of Services Operations and Informatics (IJSOI)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Services Operations and Informatics (3 papers in press)

Regular Issues

  • Big Data-Based Predictive Model for Attendance Rate of Reserve Forces Training   Order a copy of this article
    by Jungmok Ma 
    Abstract: While reserve forces are strategically important to deter war in the Republic of Korea, the training of the reservists is a challenge since they are civilians and difficult to control. In order to tackle the difficulty of predicting the attendance rate of reserve training, this paper proposes a predictive model using Big Data. The current prediction method in the military uses the last year's attendance rate, and one previous study suggests utilizing daily weather information without a systematic analysis. This paper aims to test the significance of the predictor variables in the daily attendance rate. Next, to improve the prediction accuracy of the current method, a predictive model with the volume of web search data is proposed. In the case study, statistically significant predictor variables are identified, and the proposed Big Data-based predictive model improves the prediction performance in comparison to the current method with real reserve training data.
    Keywords: big data; search query; predictive model; reserve forces; reserve training.
    DOI: 10.1504/IJSOI.2025.10071485
     
  • Influence of the Types of Innovation on the Performance of Firms in the Spanish Region of Valencia, in Terms of their Exports   Order a copy of this article
    by Héctor López, Rosa M. Yagüe Perales, Isidre March-Chorda 
    Abstract: The main objective of this article was to contribute new empirical evidence regarding the influence of innovation indicators on both firm performance and export capabilities within a specific region in Spain. To achieve this objective, a longitudinal empirical study was conducted at two time points, 2014 and 2020, utilising a sample of 113 companies. A direct association was found between a high level of exports and the implementation of strategic innovations, contrasting with the negative relationship observed with cost and investment barriers and the application of organisational innovation. Furthermore, a direct link was identified between belonging to the manufacturing sector and the implementation of process innovations, in contrast to the negative relationship found for the implementation of organisational innovations. Finally, the proper selection of innovation types, taking into account factors such as company size, sector classification, obstacles, and precedents, significantly influences the ability of companies to enhance their export levels.
    Keywords: Types of innovation; product innovation; process innovation; marketing innovation; organisational innovation; strategic innovation; cooperation; obstacle variable; impact variable; Oslo Manual 2005.
    DOI: 10.1504/IJSOI.2025.10073027
     
  • How Important Are Service Robots in Today's Hospitality Landscape? A Review and Research Guide   Order a copy of this article
    by Mrinal Kanti Das, Soumya Mukherjee, Dipak Saha, Sayantan Dass 
    Abstract: This study explores the impact of service robots on customer behaviour in the hospitality industry, focusing specifically on marketing a perspective that has been underexplored in previous research. A contextualised literature review combined with bibliometric techniques was conducted through VOSviewer and R software, analysing 856 papers sourced from the Scopus database. Findings highlight a significant increase in scholarly interest in service robots after 2022. Key insights include identification of top authors, leading journals, highly cited papers, contributing organisations, influential countries, and thematic clusters. A detailed content analysis based on bibliographic networks further identifies critical research gaps. The use of both Systematic Literature Review and bibliometric techniques also adds a valuable methodological contribution. The research is limited to the marketing domain, suggesting opportunities for future studies to explore broader perspectives. Overall, this work contributes to the literature by guiding future research directions and enhancing the understanding of marketing implications in human-robot interaction.
    Keywords: Service Robots; Artificial Intelligence; Consumer Behavior; Hospitality Sector; Customer Experience; Technology Adoption; Human-Robot Interaction.
    DOI: 10.1504/IJSOI.2025.10073053
     

 

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