Forthcoming articles

International Journal of Business Forecasting and Marketing Intelligence

International Journal of Business Forecasting and Marketing Intelligence (IJBFMI)

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 Articles will not be published until the final proofs are validated by their authors.

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International Journal of Business Forecasting and Marketing Intelligence (4 papers in press)

Regular Issues

  • Fuel Price Forecasting Combining Wavelet Neural Network and Adaptive Differential Evolution   Order a copy of this article
    by Carlos Eduardo Klein, Wesley Vieira Da Silva, Claudimar Pereira Da Veiga, Viviana Cocco Mariani, Leandro Dos Santos Coelho 
    Abstract: Once economies are not linearly changing, significant research efforts have been devoted to developing efficient forecasting methods. Artificial neural network (ANN) has been widely applied in forecasting and pattern recognition tasks. Recently, the wavelet neural networks have become a promising tool for nonlinear mapping. In this context, the main of this paper is to forecast the future price for gasoline, diesel, liquid petroleum gas (LGP), liquid natural gas (LNG), and finally sugar cane ethanol. This study differs from previous contributing with three aspects: (i) integration of wavelet analysis and computational intelligence techniques, which are limited in the fuels price forecasting area and are required for assessing the forecasting model for real-life applications. (ii) To rank six different neural network structures among the fuels to point the best ones. (iii) Encourage a discussion about the role of oil price forecasting in wider economic analysis.
    Keywords: Artificial neural network; Wavenet; Differential evolution; Oil price; Gasoline price; Forecasting.
    DOI: 10.1504/IJBFMI.2020.10031972
     
  • A Comprehensive Model for understanding Banking Service Quality: BANK SERVQUAL   Order a copy of this article
    by Rupali Gupta, Babita Kumar 
    Abstract: Paper aims at formulating measure of service quality for banking sector. Study was conducted in three most populated districts of Punjab, India. From each district three public and three private banks having maximum branches were chosen. From each bank, one branch operating in rural and one in urban areas was selected randomly. Hence, total of 36 branches were contacted. In all 720 customers, 20 from each branch (36 * 20 = 720) were surveyed through non disguised structured questionnaire. Findings highlighted that developed model (BANK SERVQUAL) to study service quality is valid and reliable for banking sector. In all 40 variables were considered to find their relative importance to service quality and customer satisfaction. Factor analysis was used to reduce redundant variables and finally six dimensions were identified. The formulated model for measuring service quality of banking sector implies that attitude of customers towards banking services is determined by service quality and customer satisfaction.
    Keywords: SERVQUAL; perception; expectation; satisfaction; attitude.
    DOI: 10.1504/IJBFMI.2020.10031980
     
  • Effect of Human Face and gaze direction in Advertising   Order a copy of this article
    by Sepideh Nasiri, Negar Sammaknejad, Mohamadali Sabetghadam 
    Abstract: Advertising is the most common form of communicating in marketing and employing human face in advertisement, is one of the most popular ways of influencing the audience. Also, advertising can survive and increase business growth if its effectiveness is appropriately determined and investigated. Ideally, advertising effectiveness in market must be analysed by standard and effective techniques, which can be assessed through complementing advantages of communicational and observational methods. Due to the lack of a native related study in Iranian literature, this experimental study conducted on Iranian participants. Results indicate that the use of human face leads to better attitude towards the advertisement and attract more attention, especially to the image part of the advertisement. In particular, the presence of human faces causes less attention to the product that is being advertised, a smart use of human gaze can disengage attention from the face and direct it towards the ads product and message.
    Keywords: advertisement effectiveness; human face; eye tracking; gaze direction.
    DOI: 10.1504/IJBFMI.2020.10032213
     
  • THE IMPACT OF SOCIAL MEDIA ON SUDAN'S UPRISING BEHAVIOR   Order a copy of this article
    by Ashraf Attia, Merve Yanar Gürce, Rana Fakhr, Barry Friedman 
    Abstract: Despite its growing and significant influence on behavioural change globally, there is limited research published on the role of social media on behavioural and political change. This research proposes an integrative framework that exemplifies the impact of social media on Sudanese constituents efforts to seek civil government. Trust, word of mouth, relationship, value, and loyalty were key social media mediating variables for the Sudanese behavioural during the uprising. These variables facilitated constituents positive attitude toward change and the youth movement towards democracy.
    Keywords: social media; Sudan; uprising; revolution; change.
    DOI: 10.1504/IJBFMI.2020.10032490