Forthcoming articles


International Journal of Information Systems and Change Management


These articles have been peer-reviewed and accepted for publication in IJISCM, 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 Articles will not be published until the final proofs are validated by their authors.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 Information Systems and Change Management (3 papers in press)


Regular Issues


  • Prediction of Construction Cost Index Based on Multi Variable Grey Neural Network Model   Order a copy of this article
    by Shasha Xie, Jun Fang 
    Abstract: The construction cost index can reflect the construction market price changes on the project cost. As a result of the regulation loopholes to management and data security, which can be used to analyze the valid data missing and effective with fewer samples for study, resulting in many classic prediction models can not play a role. The study compared numerous models. According to the characteristics of poor sample data and numerous factors for construction engineering, the grey model and BP neural network are selected to establish the prediction model. This study built material and machinery shift as independent variables, the construction cost as the dependent variable to establish the grey neural network model. In empirical analysis, data processing, training and simulation were used by MATLAB, the results concluded: compared with other conventional models, the combined forecasting model for poor data is more effective.
    Keywords: Construction Cost Index; Grey Model; BP Neural Network; Poor Data Sample; Prediction Model.

  • Face ID: An innovative biometric approach to control sales personnel production deviance   Order a copy of this article
    by Syed Jamal Shah, Zhang Li 
    Abstract: This research aims to examine whether supervisors perception of Face ID based SFA tool serves as determinants of his/her intention to accept in terms of systems usefulness and ease of use in order to control salespeople production deviance (i.e., skipping work, reporting fake). It also explored customers privacy concern as moderator of the relationship between these determinants and supervisor intention to accept. Data collected from 323 pharmaceutical sales supervisors of the top twenty pharmaceutical companies in Pakistan revealed that both proposed determinants positively influenced supervisors intention to accept Face ID based sales force automation (SFA) system. Furthermore, the moderating role of customers privacy concern was found non-significant. This is the first Face ID based SFA acceptance study that extends Technology acceptance model (TAM) variables into the sales profession context and the first system that will give exact information about the authenticity of salesforce job activities.
    Keywords: Face ID system; privacy concern; production deviance; perceived ease of use; perceived usefulness; salesforce automation system.

  • Moderating role of Information Technology and Gender between FFM and Firms Performance: Empirical Evidence from SMEs of Laos   Order a copy of this article
    by Litinthong Kixmixay, Liu Cheng 
    Abstract: Personality is an important factor where it is crucial to understand its role in distinct activities of the businesses since the five-factor model (FFM) of personality traits has widely been studied in various dimensions and contexts worldwide. Nonetheless, less concentration was dedicated to unveiling the effect of FFM, firm's performance with respect to sales, and technological integration in sales management, mainly from developing nations along with empirical findings. This study explores the associations of FFM toward sales performance (SSP) adopting information technology (ITV) and gender (GDR) as the moderator between FFM and SSP, respectively. Data were collected from major cities of Laos from January, 2018 to April 2018 and analyzed by SPSS adopting structure equation molding and Fishers statistical approach. The results affirmed the positive linkages of FFM, i.e., extraversion (FMETC), agreeableness (FMATC), conscientiousness (FMCTC), openness to experience (FMOTC), and emotional stability (FMSTC) toward SSP. It is further explored that ITV and GDR have a positive impact between FFM and SSP where ITV integration strengthens the relationships while GDR did not moderate the relationship. Additionally, this study provides insights into management on how sales might be optimized considering traits of the individuals and ITV, and suggests future research directions for the researchers.
    Keywords: Personality traits; Five-Factor Model; Firms’ Performance; Integrating Information Technology; structure equation modeling; empirical evidence; Republic of Laos.