Forthcoming articles

International Journal of Services Operations and Informatics

International Journal of Services Operations and Informatics (IJSOI)

These 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 Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Register for our alerting service, which notifies you by email when new issues are published online.

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Services Operations and Informatics (6 papers in press)

Regular Issues

  • Government data analytics, innovative, absorptive and citizens-demand sensing capability:A fuzzy set analysis   Order a copy of this article
    by Yousef Riyad Al-Saraireh, Murat Akkaya, Arif Sari 
    Abstract: Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction.
    Keywords: Government data analytics; innovative; absorptive and citizens-demand sensing capability: A fuzzy set analysis.
    DOI: 10.1504/IJSOI.2020.10027172
  • Artificial neural network based image encryption technique   Order a copy of this article
    by Shaimaa Abbas Fahdel Al-Abaidy 
    Abstract: Cryptography is used for the information transformation in safety manner. Encryption is the best method to convert the data one form to another. The cipher data cannot be understood by a third person. So to understand these various types of encryption schemes are available. In this present study, various encryptions, decryption techniques and they are proposed using chaotic neural network (CNN). CNN produces the same results in case of same input data. If the applied inputs are same, it is difficult to predict the system's behaviour, which will changes for any small change in input to that system. The objective is efficient use of artificial neural network with chaotic cryptography. With the help of chaotic sequence we found the weights of neural network. They are continuously updated on the basis of the generation of the key in the encryption algorithm. We used the Matlab tool/software to implement the encryption algorithm.
    Keywords: ANN; artificial neural network; image processing; cryptography; image encryption; chaotic maps; chaotic cryptosystems; cipher text; plain text.
    DOI: 10.1504/IJSOI.2020.10031162
  • A decision support strategy for Jatropha seed collection for biodiesel making through graphical approach   Order a copy of this article
    by S.P. Srinivasan, G. Deenadayalan 
    Abstract: Oil from Jatropha and Pongamia seeds are more appropriate in the production of bio-diesel. This bio energy replaces petro-diesel and deserves specific attention. However the warehousing and distribution of oil seeds is highly a dense task. This issue is being addressed by many supply chain models using different algorithms namely, Markov chain process, Integer Programming, Benders decomposition, etc., The above mentioned algorithms give variety of solutions in the respective systems. The proposed model recommends the method of finding the optimal distribution centre(s) of Jatropha seed through optimised unilateral graphical approach with possible and necessary constraints. (Whichever applicable, and wherever needed).The supply chain process consists of four different levels of modules. This paper is focused on the initial level of process to identify the appropriate solution of distribution method using graphical approach algorithmically. The resultant solution obtained may go ahead to the next level of the module in the supply chain with network.
    Keywords: Jatropha; graph theory; decision support system; supply chain; distribution; biodiesel; digraph.
    DOI: 10.1504/IJSOI.2020.10031192
  • A study on the CAPM and its extensions in perceptive of Pakistani asset management organisations   Order a copy of this article
    by Saleha Ashfaq, Yong Tang, Rashid Maqbool 
    Abstract: This paper explains about the capital asset pricing model (CAPM), its capability and its implication in the real-world data. To crave this thirst, we form this study by using the earlier CAPM approaches (Lintner, 1965; Sharpe, 1964) that are also employed by many latest researches. Though there is a lot of literature available on the extensions of the CAPM, still there is no consensus in the literature with respect to what a reasonable proportion of risk is, and therefore, regarding what is an appropriate measure for assessing risk-adjusted performance. Along these lines, the mission for robust asset pricing models proceeds. Owed to this, we chose five asset managing organisations for the Pakistani stock market KSE 100 Index for the time period of 2012 to 2015. We also employed descriptive test and robust test ratio on our selected data. The finding of the research shows a significant result and suggested the good performance of assets management organisations.
    Keywords: CAPM; capital asset pricing model; investment; asset management; Pakistan.
    DOI: 10.1504/IJSOI.2020.10031193
  • An efficient cryptanalysis scheme for secure data storage system in cloud using optimal dual encryption algorithm   Order a copy of this article
    by B. Srinivasa Rao, P. Premchand 
    Abstract: Cloud computing gives adaptable infrastructure and high storage capacity for Big Data applications. Many of the cloud clients have been migrating or building their business into the cloud. However, various potential clients are as yet reluctant to take advantage of the cloud due to security and privacy concerns. Mainly, the proposed system consists of three modules such as: i) cryptographic security system (CSS) using dual encryption algorithm; ii) security blocking system using optimal double attack; and iii) generating optimal security system. At first, we design the security system using hybridisation of blowfish and data encryption standard (DES). From this, we evaluate how much amount of original information retrieved. Then, finally, to increase the security system, we design an optimal dual encryption based security system. At last, the quality of the work compared to other encryption techniques with minimum encryption time.
    Keywords: cloud computing; security; dual encryption; CSS; cryptographic security system; blowfish; DES; data encryption standard; cryptanalysis.
    DOI: 10.1504/IJSOI.2020.10027973
  • Customer relationship management (CRM): a bibliometric analysis   Order a copy of this article
    by Vicente Guerola-Navarro, Raul Oltra-Badenes, Hermenegildo Gil-Gomez, Jose-Antonio Gil-Gomez 
    Abstract: This is a bibliometric study of the publications about customer relationship management (CRM), as one of the nowadays most implemented and extended enterprise management software. The objective of this paper is twofold: on the one hand to analyse the impact and focus of influence of the different authors and entities that have been researching on CRM, and secondly to determine (based on the results of the bibliometric study of the publications on CRM) if it may be of interest to investigate and deepen the benefits and impact on CRM results as a modern and leading enterprise management solution. Bibliometrics is a fundamental field of information science that studies bibliographic material quantitatively. This study presents a o bibliometric overview of CRM research using the web of science database, identifying the most prolific and influential journals, authors, institutions and countries, considering the period since 1900-2017.
    Keywords: CRM; customer relationship management; business intelligence; marketing; customer service; services; sales force automation.
    DOI: 10.1504/IJSOI.2020.10030517