Template-Type: ReDIF-Article 1.0
Author-Name: Evangelos Sambracos
Author-X-Name-First: Evangelos
Author-X-Name-Last: Sambracos
Author-Name: Marina Maniati
Author-X-Name-First: Marina
Author-X-Name-Last: Maniati
Author-Name: Sokratis Sklavos
Author-X-Name-First: Sokratis
Author-X-Name-Last: Sklavos
Title: A multi-parametric simulation study of neural networks' performance for nonlinear data against linear regression analysis in economics
Abstract:
Different mathematical and dynamic methods have been developed addressing the problem of forecasting, with the regression analysis to be one of the most frequently used statistical procedures. Meanwhile, neural networks (NNs) are considered to be well suited in finding accurate solutions in an environment characterised by volatility, noisy, irrelevant or partial information. In this chapter, a simulation study compares the performance of NNs against linear regression analysis is based on multiple combinations (421 in total) of five different factors providing those cases that the NN performs better than the LRM and defining the output bias as the main contributor to the NN outcome.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 17-31
Issue: 1
Volume: 6
Year: 2020
Keywords: artificial neural networks; regression analysis; bias.
File-URL: http://www.inderscience.com/link.php?id=109256
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Template-Type: ReDIF-Article 1.0
Author-Name: Satish Chandra Ojha
Author-X-Name-First: Satish Chandra
Author-X-Name-Last: Ojha
Title: Role of somatic markers in consumer durable brand selection in e-retail
Abstract:
Consumer durable goods industry is operating in a highly competitive, complex and rapidly changing business environment. Business leaders of consumer durable goods organisations know their importance of having ready to access timely, accurate, information and data for managing customer relationships across divisions. Additionally, the Indian consumer profile has changed in terms of education, income, occupation, reference group and media habits. The consumer buying preferences are rapidly changing and moving towards high-end technology products with acculturation. Products which were once considered luxury items have become a necessity because of the changing lifestyle and rising income levels. With the growth in disposable incomes, the demand for high-end products such as television, refrigerator, and air conditioners has increased considerably. Capitalising on brain nature, various marketers forayed into neuron-based marketing designs, especially based on the advertisements. The current examines the role of somatic markers in consumer durable brand selection in e-retail.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 1-16
Issue: 1
Volume: 6
Year: 2020
Keywords: brand selection; consumer durables; e-retail; Indian retail; somatic markers.
File-URL: http://www.inderscience.com/link.php?id=109279
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Template-Type: ReDIF-Article 1.0
Author-Name: Teena Bharti
Author-X-Name-First: Teena
Author-X-Name-Last: Bharti
Author-Name: Santosh Rangnekar
Author-X-Name-First: Santosh
Author-X-Name-Last: Rangnekar
Title: A bird's eye view approach: linking optimism and career planning in millennials of an emerging economy
Abstract:
The study aims to test the construct of optimism (positive future expectancies) and career planning in the students born in millennial era. The study investigated the gender differences in a sample of 381 students enrolled in a postgraduate program. The study adopted a cross-sectional survey-based research design and employed hierarchical regression technique to establish the relationship. Further, the study used Hayes-PROCESS approach to test the moderating role of gender. The results revealed that the millennial students have high levels of optimism and females are more optimistic in nature as compared to male students owing to various environmental and societal reasons. Furthermore, the male-female ratio is increasing in millennial population over a period of time. The research emphasised the role of an optimistic outlook in order to plan ahead as career planning is an ongoing process reflecting the effects of the environmental uncertainties. Hence, optimism should be cultivated in order to promote the competence and skill-building events which would help in enhancing the productivity resulting in better understanding of workplace and life at large. The work supplements the existing literature on outcome expectancies by adding to the social cognitive career theory.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 32-49
Issue: 1
Volume: 6
Year: 2020
Keywords: career planning; career development; gender; Indian organisations; moderation; optimism; social cognitive career theory; SCCT.
File-URL: http://www.inderscience.com/link.php?id=109280
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:1:p:32-49

Template-Type: ReDIF-Article 1.0
Author-Name: Sanjay Fuloria
Author-X-Name-First: Sanjay
Author-X-Name-Last: Fuloria
Title: Blockchain research: a bibliometric and text mining based review of literature
Abstract:
This study utilised two bibliometric analysis methods and a text mining method to provide a systematic and holistic review of blockchain related academic literature. A total of 91 publications related to blockchain were identified from the Scopus<SUP align="right"><SMALL>1</SMALL></SUP> database. Citation analysis identified security, data integrity, and integration of blockchains as foundations of this area of research. The study then employed keyword analysis to identify themes in blockchain research. Foundation, application, and emerging trend were the themes identified. The emerging trend in blockchain research was identified as the integration of blockchain with internet of things. Text mining was employed to identify additional themes. Technological aspect, business perspective, application areas, security, integrity and trust, models and frameworks, and benefits of blockchains were the additional themes. Finally, the study called for a future research agenda on blockchain research.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 50-62
Issue: 1
Volume: 6
Year: 2020
Keywords: blockchain; citation analysis; bibliometric analysis; research agenda; themes.
File-URL: http://www.inderscience.com/link.php?id=109281
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:1:p:50-62

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Alawamleh
Author-X-Name-First: Mohammad
Author-X-Name-Last: Alawamleh
Author-Name: Sama Afghani
Author-X-Name-First: Sama
Author-X-Name-Last: Afghani
Title: Jordanian beauty influencers and their effect on consumers
Abstract:
This paper will investigate the beauty influencers on social media platforms, their behaviours and attributes, and most importantly their effect on consumers. Our hypothesis is that the future of advertisement is social media, the traditional ways are fading, and this shift is facing resistance from the older generations. And with the appearance of advertisement through social media, influential users arose, creating this new phenomenon called 'influencers'. This research aims to investigate the dynamic relationship between the consumers and influencers, and how to control and maintain an ethical relation between any of the two parties most importantly, the influencer's effect on consumers and their behaviour. This study will be carried out through the use of primary research, where a questionnaires been distributed to as many Jordanian beauty consumers to see which influencers attract them the most, the level on influence they are under, and their behaviour in response to this influence.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 63-77
Issue: 1
Volume: 6
Year: 2020
Keywords: influencers; consumer behaviour; Jordan; social media.
File-URL: http://www.inderscience.com/link.php?id=109282
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:1:p:63-77

Template-Type: ReDIF-Article 1.0
Author-Name: Elia Oey
Author-X-Name-First: Elia
Author-X-Name-Last: Oey
Author-Name: Renita Vashti Bangun
Author-X-Name-First: Renita Vashti
Author-X-Name-Last: Bangun
Title: Aggregate planning application in a reverse logistics operation - a case study at a beverage manufacturer
Abstract:
Reverse logistics is relatively new, yet important, area in supply chain management. To some companies and industries, establishing a proper reverse logistics operation is necessity for cost savings and sustainability reason. The research was a case study at a beverage manufacturer in Indonesia which exercise a reverse logistics operation for their returned bottles. The objective of the study was to help the studied company find the best resource allocation by implementing classical aggregate planning strategy. Three scenarios were derived, and their cost implication were calculated. The result shown that their current practice of 'chase' strategy and manpower allocation can be improved with either 'adjusted chase' or 'level' strategy. The paper also highlights the importance for regular review of aggregate planning in reverse logistics operations of the studied company.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 135-156
Issue: 2
Volume: 6
Year: 2020
Keywords: aggregate planning; reverse logistics.
File-URL: http://www.inderscience.com/link.php?id=109876
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Template-Type: ReDIF-Article 1.0
Author-Name: Sangeeta Trott
Author-X-Name-First: Sangeeta
Author-X-Name-Last: Trott
Title: The impact of green banking initiatives on green brand equity of banks in India
Abstract:
The purpose of the paper is to investigate the impact of green banking initiatives on green brand equity of banks in India. A conceptual framework is prepared to study the impact of green banking on green brand equity of banks in India. The data is collected from 30 banks (both public and private) and 1,000 banking customers (individual and institutional) through written questionnaire method. The data is analysed through linear regression on SPSS. The findings of the study indicate that green processes have a significant positive impact of green brand equity of banks in India. However, green infrastructure do not have a significant impact of green brand equity of the banks in India. The main limitation of the study was the time factor in which the study was conducted. Future research can be directed towards conducting a inter country comparison of the impact of green banking initiatives on green brand equity of banks in India.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 79-98
Issue: 2
Volume: 6
Year: 2020
Keywords: green processes; green infrastructure; green initiatives; sustainability; development phase; India.
File-URL: http://www.inderscience.com/link.php?id=109877
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Template-Type: ReDIF-Article 1.0
Author-Name: Narendra Singh
Author-X-Name-First: Narendra
Author-X-Name-Last: Singh
Author-Name: Pushpa Singh
Author-X-Name-First: Pushpa
Author-X-Name-Last: Singh
Author-Name: Krishna Kant Singh
Author-X-Name-First: Krishna Kant
Author-X-Name-Last: Singh
Author-Name: Akansha Singh
Author-X-Name-First: Akansha
Author-X-Name-Last: Singh
Title: Machine learning based classification and segmentation techniques for CRM: a customer analytics
Abstract:
Machine learning and data mining help companies to build a tool that can make and take actions based on customer knowledge and information. Customer information is the base of maintaining long term relationship with customers and also known as customer relationship and management (CRM). Classification and segmentation of customer data set is utilised to maintain efficient relation with customers and subsequently increase the profitability and productivity. In this paper, author proposed customer segmentation based on demographic properties like gender, age and spending score and analysed the data set for interesting fact. The derived attribute data set is investigated for classification. Classification is used to categorise each customer into a number of classes, i.e., 'gold', 'silver', 'elite' and 'occasional'. Comparison of different classification algorithm is simulated by WEKA tool. Multi-layer perceptron (MLP) is found as the best classification algorithm with an accuracy of 98.33% compared to Naïve Bayes, regression and J48.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 99-117
Issue: 2
Volume: 6
Year: 2020
Keywords: machine learning; classification; segmentation; customer relationship management; CRM; WEKA; multi-layer perceptron; MLP.
File-URL: http://www.inderscience.com/link.php?id=109878
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:2:p:99-117

Template-Type: ReDIF-Article 1.0
Author-Name: Masood Ul Hassan
Author-X-Name-First: Masood Ul
Author-X-Name-Last: Hassan
Author-Name: Zeeshan Iqbal
Author-X-Name-First: Zeeshan
Author-X-Name-Last: Iqbal
Author-Name: Kamran Shakir
Author-X-Name-First: Kamran
Author-X-Name-Last: Shakir
Title: Impact of ICT training and education on women's employability and entrepreneurial skills: achieving the sustainable development goals
Abstract:
This study investigates the influence of skills-based ICT training and education on women's employability and their entrepreneurial skills in the context of Pakistan. With the help of printed survey questionnaire, the current study collected the data from 182 women. Moreover, in order to analyse the data, partial least square structural equation modelling (PLS-SEM) was applied through SmartPLS software. The findings of this study revealed that skills-based ICT training and education has a significant and positive impact on women's employability and their entrepreneurial skills. Moreover, women's employability skills are positively associated with the women's entrepreneurial skills. Finally, the researchers concluded this study with limitations and directions for future research.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 157-166
Issue: 2
Volume: 6
Year: 2020
Keywords: information and communication technology; training and education; women employability skills; women entrepreneurial skills; Pakistan.
File-URL: http://www.inderscience.com/link.php?id=109879
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:2:p:157-166

Template-Type: ReDIF-Article 1.0
Author-Name: Pavel Reyes-Mercado
Author-X-Name-First: Pavel
Author-X-Name-Last: Reyes-Mercado
Author-Name: M. Karthik
Author-X-Name-First: M.
Author-X-Name-Last: Karthik
Author-Name: Ram Kumar Mishra
Author-X-Name-First: Ram Kumar
Author-X-Name-Last: Mishra
Title: What's in a brand name? Preferences of mobile wallets in India under a shifting regulation
Abstract:
This paper analyses adopters' preferences on mobile wallets and model individual decisions in a financial environment under shifting regulations on know your customer and recent demonetisation. We used conjoint analysis to identify the utility contributions of wallets' attributes and levels. Findings from 275 questionnaires from urban sample in India show that the most important attribute is the brand name with 59%, followed by cash back amount, and fee per transfer/payment. For brand name, incumbent brands exhibited a positive utility to adopters while emerging brands presented a negative utility. For cash back amount, wallet adopters only favoured the highest level of 30% and they signalled with negative utilities the remaining two lower options. For fees, the sample found positive utility in the lowest fee of 3%. Noteworthy, the least important variable was the number of friends as proxy to assess the impact of network effects.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 118-134
Issue: 2
Volume: 6
Year: 2020
Keywords: Fintech; shifting regulations; mobile wallets; conjoint analysis; adoption of innovations; financial technology acceptance; India.
File-URL: http://www.inderscience.com/link.php?id=109880
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:2:p:118-134

Template-Type: ReDIF-Article 1.0
Author-Name: Carlos Eduardo Klein
Author-X-Name-First: Carlos Eduardo
Author-X-Name-Last: Klein
Author-Name: Wesley Vieira Da Silva
Author-X-Name-First: Wesley Vieira Da
Author-X-Name-Last: Silva
Author-Name: Claudimar Pereira Da Veiga
Author-X-Name-First: Claudimar Pereira Da
Author-X-Name-Last: Veiga
Author-Name: Viviana Cocco Mariani
Author-X-Name-First: Viviana Cocco
Author-X-Name-Last: Mariani
Author-Name: Leandro Dos Santos Coelho
Author-X-Name-First: Leandro Dos Santos
Author-X-Name-Last: Coelho
Title: Fuel price forecasting combining wavelet neural network and adaptive differential evolution
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 in literature with three aspects: 1) 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; 2) to rank six different neural network structures among the fuels to point the best ones; 3) encourage a discussion about the role of oil price forecasting in wider economic analysis.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 167-185
Issue: 3
Volume: 6
Year: 2020
Keywords: artificial neural network; wavenet; differential evolution; oil price; gasoline price; forecasting.
File-URL: http://www.inderscience.com/link.php?id=111370
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:3:p:167-185

Template-Type: ReDIF-Article 1.0
Author-Name: Rupali Gupta
Author-X-Name-First: Rupali
Author-X-Name-Last: Gupta
Author-Name: Babita Kumar
Author-X-Name-First: Babita
Author-X-Name-Last: Kumar
Title: A comprehensive model for understanding banking service quality: BANK SERVQUAL
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.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 204-220
Issue: 3
Volume: 6
Year: 2020
Keywords: SERVQUAL; perception; expectation; satisfaction; attitude.
File-URL: http://www.inderscience.com/link.php?id=111371
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:3:p:204-220

Template-Type: ReDIF-Article 1.0
Author-Name: Sepideh Nasiri
Author-X-Name-First: Sepideh
Author-X-Name-Last: Nasiri
Author-Name: Negar Sammaknejad
Author-X-Name-First: Negar
Author-X-Name-Last: Sammaknejad
Author-Name: Mohamad Ali Sabetghadam
Author-X-Name-First: Mohamad Ali
Author-X-Name-Last: Sabetghadam
Title: The effect of human face and gaze direction in advertising
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 ad's product and message.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 221-237
Issue: 3
Volume: 6
Year: 2020
Keywords: advertisement effectiveness; human face; eye tracking; gaze direction.
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:3:p:221-237

Template-Type: ReDIF-Article 1.0
Author-Name: Ashraf M. Attia
Author-X-Name-First: Ashraf M.
Author-X-Name-Last: Attia
Author-Name: Merve Yanar Gürce
Author-X-Name-First: Merve Yanar
Author-X-Name-Last: Gürce
Author-Name: Rana A. Fakhr
Author-X-Name-First: Rana A.
Author-X-Name-Last: Fakhr
Author-Name: Barry Friedman
Author-X-Name-First: Barry
Author-X-Name-Last: Friedman
Title: The impact of social media on Sudan's uprising behaviour
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.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 186-203
Issue: 3
Volume: 6
Year: 2020
Keywords: social media; Sudan; uprising; revolution; change.
File-URL: http://www.inderscience.com/link.php?id=111374
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:3:p:186-203

Template-Type: ReDIF-Article 1.0
Author-Name: Pedro Henrique Melo Albuquerque
Author-X-Name-First: Pedro Henrique Melo
Author-X-Name-Last: Albuquerque
Author-Name: Matheus Facure Alves
Author-X-Name-First: Matheus Facure
Author-X-Name-Last: Alves
Author-Name: Maísa Cardoso Aniceto
Author-X-Name-First: Maísa Cardoso
Author-X-Name-Last: Aniceto
Author-Name: Gustavo Monteiro Pereira
Author-X-Name-First: Gustavo Monteiro
Author-X-Name-Last: Pereira
Title: Conditional autoregressive value-at-risk: all flavours of CAViaR
Abstract:
In this article, we studied 13 parametric CAViaR models for 27 stock's indices concerning the bias-variance dilemma, providing an empirical golden rule for choosing the CAViaR structure over unknown information distributional features of financial data. Our findings pointed out that the adaptive model should be chosen when no prior information is available since it presented the smallest MSE in 23 of 27 assets. Furthermore, we also noted that in most cases, the CAViaR models overestimate the validation value-at-risk. This might not be troublesome from a regulators' point of view, since firms and financial institutions that would use those models will likely overestimate risk and hence adopt more conservative politics. However, from the firm's point of view, this means that they will likely operate in a suboptimal risk regime which.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 238-254
Issue: 3
Volume: 6
Year: 2020
Keywords: value-at-risk; VaR; conditional autoregressive value-at-risk; CAViaR; bias-variance dilemma; risk.
File-URL: http://www.inderscience.com/link.php?id=111376
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Handle: RePEc:ids:ijbfmi:v:6:y:2020:i:3:p:238-254