Hybrid journal (It can contain Open Access articles) ISSN (Print) 1751-200X - ISSN (Online) 1751-2018 Published by Inderscience Publishers[447 journals]
Authors:Jawad Azimi, Jimbo H. Claver, Takeru Suzuki, Jesus Pascal Pages: 1 - 32 Abstract: This study assessed impact of food advertising on purchasing behaviour of children in emerging consumption markets. A case study was conducted in Kabul, Afghanistan. In this research, we considered a system where children's buying behaviour was the output and food advertising and moderator variables namely age, siblings, gender, parent's influence and media type were considered as inputs. The study relied on primary data collected from 385 children aged between 5 and 15. Data were analysed with STATA 2013. The data and statistical models were tested for validity and reliability; the tests included Cronbach's alpha, Jarque-Bera, Bruesch-Pagan/Cook-Wisberg, Winsorization, Skewness and Kurtosis, Akaike information criterion (AIC), and variance inflation factor (VIF). The study found that television advertisements had the most influence on purchasing behaviour of children directly or indirectly through their parents. The study also found that the magnitude of advertising outcome on children varied based on moderator variables mentioned above. Keywords: children's buying behaviour; food advertisement; TV advertising; parents' influence; quantitative analysis; reliability; multiple regression; business statistics; AIC and systems Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 1 - 32 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104142 Issue No:Vol. 14, No. 1 (2019)
Authors:Amir Abbas Shojaie, Mohamad Amin Kaviani Pages: 33 - 43 Abstract: In this study, we propose a queuing-based mathematical model for analysing the congestion phenomenon in a transportation network. For this purpose, we present a mathematical model for network design with the objective of the cost minimisation and optimal demand satisfaction under demand uncertainty situation. The queuing theory usage helps to better model the congestion item caused by customers' referrals to the facilities of the transportation network. Moreover, a numerical example is solved to demonstrate the validity of the proposed model. To the best of the authors' knowledge, this is the first study which looks at the congested transportation network problem considering demand uncertainty from a queuing theory perspective. Keywords: queuing theory; congested networks; transportation; mathematical modelling; demand uncertainty; systems; optimisation Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 33 - 43 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104143 Issue No:Vol. 14, No. 1 (2019)
Authors:Wajeeha Aslam, Kashif Farhat Pages: 44 - 55 Abstract: Technology in the industry has improved the processes, products and customer experience. Due to this, the importance of after sales service is increasing. The aim of this study is to identify the impact of after-sales service quality delivery on customers' overall satisfaction in the retail sector. Also, the impact of overall satisfaction on word of mouth and repurchase intention. A sample of 330 responses were collected through questionnaire by purposive sampling technique from the customers who had purchased an electronic equipment (UPS or air conditioner). EFA, CFA and SEM analyses were performed to measure the relationships among constructs with the help of SPSS and Amos. The result revealed that after-sales service quality delivery affects customer overall satisfaction which leads to repurchase intention and word-of-mouth. This study helps the retail and marketing managers as it allows them to differentiate their offerings in order to develop the long-term relationship with their customers. This paper especially caters to the retail sector which is dynamic and where customers are highly involved. Keywords: after-sales services; customer satisfaction; repurchase intention; word of mouth; delivery; technology Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 44 - 55 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104145 Issue No:Vol. 14, No. 1 (2019)
Authors:Frederico Silva Valentim Sallum, Luiz Flavio Autran Monteiro Gomes, Maria Augusta Soares Machado Pages: 56 - 73 Abstract: ANBIMA, the Brazilian Financial and Capital Markets Association, monthly presents the ranking of investment funds management by category. This ranking makes available information about the management of resources from players that invested in funds in Brazil. The institutions that are included in this ranking are ordered based on the total amount of the net equity under management in all categories of investment funds. The research presented in this article applies the TODIM multi-criteria method for building the ANBIMA ranking of June 2017 using the ten best-positioned institutions. In order to accomplish this, each participating institution is considered as an alternative and each category of investment fund functions as a criterion. This allows for a comparison between the ANBIMA ranking against the ranking obtained by using the TODIM method. This comparison points to the possibility of making use of a new, enriched system to order the institutions based on pairwise analyses and taking into account expressions of gains and losses. Keywords: ANBIMA ranking; management of investment funds; systems; ranking of investment funds; TODIM method Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 56 - 73 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104147 Issue No:Vol. 14, No. 1 (2019)
Authors:Viviane Moura Rocha Ferreira, Juracy Parente, Mateus Canniatti Ponchio, Felipe Zambaldi Pages: 74 - 94 Abstract: In emerging markets, the rapid expansion of online retailing is mainly driven by new adopters from lower-income consumer segments. However, little is known about the behaviour of this group in online retail. This study evaluates the relationships between e-loyalty, e-satisfaction, e-trust and e-quality, paying particular attention to the moderating role of consumer income. Data were collected from a sample of 1,020 Brazilian consumers via a web survey and were analysed using structural equation modelling (SEM). Among the main results, this study finds that consumers from the higher-income group pay more attention to the quality of website information, while consumers from the lower-income group emphasise the importance of fulfilment. E-satisfaction is more important than e-trust in determining e-loyalty and these relationships are moderated by income. Online retailers should pay special attention to tailoring their promotional efforts to foster consumer loyalty according to different consumer income groups. Keywords: loyalty; e-commerce; emerging markets; quality; satisfaction; trust; structural equation modelling; SEM; income moderation effect; Brazilian consumers; technology Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 74 - 94 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104150 Issue No:Vol. 14, No. 1 (2019)
Authors:Ximena López-Mendoza, David Mauricio Pages: 95 - 124 Abstract: Technology transfer (TT) is a tool for the development of societies and its success is affected by several factors; hence, it is important to identify them and note how they influence the different stages of the technology transfer process. The present work identifies new factors (adaptation to change, government policies, selection criterion of the project portfolio, work environment, product satisfaction, entropy, stress, and ethics), the same ones that have been supported in the theories of human and organisational behaviour, these affect all stages of the technology transfer process from university to industry. The study was made based on confirmatory factor analysis (CFA) and the model of structural equations and was carried out on 85 universities in four countries of the Andean region. The obtained results confirm that, at 95% confidence, the proposed factors influence all stages of the technology transfer process. Keywords: factors of technology transfer; technology transfer; stages of technology transfer; model of structural equations Citation: International Journal of Business and Systems Research, Vol. 14, No. 1 (2020) pp. 95 - 124 PubDate: 2019-12-20T23:20:50-05:00 DOI: 10.1504/IJBSR.2020.104151 Issue No:Vol. 14, No. 1 (2019)
Hybrid journal (It can contain Open Access articles)
[447 journals]
