Template-Type: ReDIF-Article 1.0 Author-Name: Majdah ALNefaie Author-X-Name-First: Majdah Author-X-Name-Last: ALNefaie Author-Name: Shahadat Khan Author-X-Name-First: Shahadat Author-X-Name-Last: Khan Author-Name: Siva Muthaly Author-X-Name-First: Siva Author-X-Name-Last: Muthaly Title: Consumers' electronic word of mouth-seeking intentions on social media sites concerning Saudi bloggers' YouTube fashion channels: an eclectic approach Abstract: This study seeks to investigate the appropriateness of an eclectic model based on factors that influence Saudi consumers' electronic word of mouth (eWOM)-seeking intentions on bloggers' YouTube channels. There is a lack of understanding about eWOM-seekers' motivations for engaging in this behaviour. This study focuses on utilitarian and hedonic motivations and explores the factors related to the social and cultural elements that influence eWOM-seeking intentions. The study implements a two-phase mixed-method approach, including a qualitative and observational netnographic method. An online questionnaire is used to test the relationships among the variables in the study's conceptual framework. A total of 210 usable responses to the questionnaire were received. The data was analysed using the partial least squares (PLS) technique. The findings indicate that the availability of information and purchasing intentions developed through utilitarian motivations have the most significant influence on eWOM-seeking intentions. The managerial implications and limitations of this study and recommendations for future study are given in the conclusion hereto. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 1-22 Issue: 1 Volume: 5 Year: 2019 Keywords: social media sites; SMSs; utilitarian and hedonic motivations; seeking intention; fashion industry; Saudi Arabia; electronic word of mouth; eWOM. File-URL: http://www.inderscience.com/link.php?id=99000 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:1-22 Template-Type: ReDIF-Article 1.0 Author-Name: Asif Khan Author-X-Name-First: Asif Author-X-Name-Last: Khan Author-Name: Rachita Gulati Author-X-Name-First: Rachita Author-X-Name-Last: Gulati Title: Assessment of efficiency and ranking of microfinance institutions in India: a two-stage bootstrap DEA analysis Abstract: This paper examines the financial, social and overall bias-corrected efficiencies of 82 Indian microfinance institutions for the year 2015-2016, and obtains the potential determinants of efficiency scores using double bootstrap procedure by Simar and Wilson (2007). Bias-corrected efficiency scores are used to provide a strict ranking to sampled MFIs. An attempt is made to resolve the unsettled debate on trade-off between the dual goals of the MFIs. The results reveal that Indian MFIs are found more financially efficient than socially efficient in the sampled year. The efficiency differences across the MFIs' operating in central and northern regions and distinct sizes classes of MFIs are statistically significant. The study establishes enough evidence to advocate the absence of trade-off in achieving dual goals in the Indian MFI industry in the year 2015-2016. Finally, size of MFI and equity to assets ratio influences the efficiency levels of Indian MFIs. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 23-55 Issue: 1 Volume: 5 Year: 2019 Keywords: microfinance institutions; financial efficiency; social efficiency; trade-off; ranking of MFIs; bootstrap DEA model. File-URL: http://www.inderscience.com/link.php?id=99008 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:23-55 Template-Type: ReDIF-Article 1.0 Author-Name: Rahul S. Mor Author-X-Name-First: Rahul S. Author-X-Name-Last: Mor Author-Name: Jitendra Nagar Author-X-Name-First: Jitendra Author-X-Name-Last: Nagar Author-Name: Arvind Bhardwaj Author-X-Name-First: Arvind Author-X-Name-Last: Bhardwaj Title: A comparative study of forecasting methods for sporadic demand in an auto service station Abstract: Spare parts are essential in the automobile sector and forecasting of spare parts has always been the vital prospects in an automobile service parts station. In this paper, a comparison and efforts have been made at the service station of a reputed organisation to reduce the errors in demand forecasting of intermittent demand items. The errors are compared for various methods using mean absolute scaled error (MASE) and Syntetos and Boylan approximation (SBA) method which exhibited the least error for intermittent demand and lumpy demand pattern. While single exponential smoothing method is used for smooth and erratic demand pattern. All calculations are done in MS Excel and solver tool to find optimal values of smoothing parameters. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 56-70 Issue: 1 Volume: 5 Year: 2019 Keywords: demand forecasting; intermittent demand; sporadic demand; mean absolute scaled error; MASE; solver; auto service station. File-URL: http://www.inderscience.com/link.php?id=99009 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:56-70 Template-Type: ReDIF-Article 1.0 Author-Name: Hasliza Hassan Author-X-Name-First: Hasliza Author-X-Name-Last: Hassan Author-Name: Abu Bakar Sade Author-X-Name-First: Abu Bakar Author-X-Name-Last: Sade Author-Name: Hui Xin Low Author-X-Name-First: Hui Xin Author-X-Name-Last: Low Title: Discovering the brand personality of Bonia Abstract: Bonia is a well-known luxury fashion brand for leatherwear, footwear, apparel and accessories. This research focuses on the familiarity and the likelihood of Malaysians to purchase the product and the perception of the brand personality of Bonia by adapting the personality dimensions theory as the main pillar for measurement. The primary data for this research were collected through an online survey. According to the findings, the majority of Malaysians are familiar with the brand and are likely to purchase its products. The analysis of the findings for brand personality shows that Bonia is perceived as a competent, sincere and sophisticated brand. There were relatively few respondents who perceived that Bonia was an exciting and rugged brand. Bonia should be marketed to customers who are competent, sincere and sophisticated to match the personality of the product's brand with individual consumers. Neither excitement nor ruggedness represents the personality of Bonia. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 86-102 Issue: 1 Volume: 5 Year: 2019 Keywords: brand; brand personality; consumer; fashion; fashion band; fashion market; fashion product; luxury brand; luxury fashion; Malaysia. File-URL: http://www.inderscience.com/link.php?id=99018 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:86-102 Template-Type: ReDIF-Article 1.0 Author-Name: Rupinder Kaur Author-X-Name-First: Rupinder Author-X-Name-Last: Kaur Author-Name: Babita Kumar Author-X-Name-First: Babita Author-X-Name-Last: Kumar Title: Beneficiaries' perception and attitude towards service quality of non-profit organisations Abstract: The study attempts to understand the perception and attitude of beneficiaries towards service quality of non-profit organisations. There is a dearth of such studies conducted so far in non-profit domain. The beneficiaries are the recipients of services for free or as an act of philanthropy. Since non-profit organisations engage public money in providing services to the general public, it is pertinent to use this money judiciously and provide quality services to the beneficiaries. It is important to measure their perception so as to improve the quality of the services of the organisation. The objective of the research is to study the perception and attitude of beneficiaries towards the perceived service quality of social service organisations in Punjab. The study tried to adapt the existing dimensions of SERVPERF to suit the non-profit domain. A survey was administered on beneficiaries (n = 300) and their perception towards perceived service quality was measured. The methodology used has been described and the measurement instrument which has been used is also discussed. Finally the findings of the study are summarised along with the various limitations and directions for the future research. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 71-85 Issue: 1 Volume: 5 Year: 2019 Keywords: service quality; beneficiaries; social service; non-profit organisations; SERVPERF. File-URL: http://www.inderscience.com/link.php?id=99019 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:71-85 Template-Type: ReDIF-Article 1.0 Author-Name: Flora Babongo Author-X-Name-First: Flora Author-X-Name-Last: Babongo Author-Name: Tapio Niemi Author-X-Name-First: Tapio Author-X-Name-Last: Niemi Author-Name: Valérie Chavez-Demoulin Author-X-Name-First: Valérie Author-X-Name-Last: Chavez-Demoulin Author-Name: Ari-Pekka Hameri Author-X-Name-First: Ari-Pekka Author-X-Name-Last: Hameri Author-Name: Patrik Appelqvist Author-X-Name-First: Patrik Author-X-Name-Last: Appelqvist Title: Forecasting (un-)seasonal demand using geostatistics, socio-economic and weather data Abstract: Accurate demand forecasts are essential to supply chain management. We study the spatial demand variation of seasonal and unseasonal sport goods and demonstrate how demand forecast accuracy can be improved by using geostatistics and linking socio-economic and weather data with order line specific supply chain transactions. We found that the socio-economic features impact the demand of both seasonal and unseasonal products and unseasonal products are impacted more. Weather conditions affect only seasonal products. Cross-validation analyses show that using external information improves demand forecasting accuracy by reducing forecasting error up to 48%. The results can be applied both to the operational demand planning process and to the strategy used when making location-based decisions on supply chain actions, for example, deciding locations for new stores or running marketing campaigns. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 103-124 Issue: 1 Volume: 5 Year: 2019 Keywords: demand forecasting; seasonal products; socio-economic features; weather; geostatistics; kriging; semivariogram. File-URL: http://www.inderscience.com/link.php?id=99069 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:1:p:103-124 Template-Type: ReDIF-Article 1.0 Author-Name: Zeeshan Iqbal Author-X-Name-First: Zeeshan Author-X-Name-Last: Iqbal Author-Name: Maimoona Malik Author-X-Name-First: Maimoona Author-X-Name-Last: Malik Author-Name: Masood Ul Hassan Author-X-Name-First: Masood Ul Author-X-Name-Last: Hassan Title: Understanding the adoption of mobile marketing by small and medium enterprises of Pakistan Abstract: This study aimed to explore the mechanism of mobile marketing adoption intention by the small and medium enterprises of Pakistan. Based on the theoretical lens of technology-organisation-environment (TOE), the researchers examined the influence of top management support, novelty seeking management, competitors' pressure and perceived cost on intention to adopt mobile marketing as promotional tool. A self-administrative survey questionnaire was adapted and distributed by using convenient sampling technique for data collection. Furthermore, PLS-SEM approach was employed to test the empirical relationships between the study constructs. The results revealed that top management support, novelty seeking management and competitors' pressure have a positive influence on the intention to adopt mobile marketing. Moreover, perceived cost has negative association with intention to adopt mobile marketing by small and medium enterprises due to limited financial resources. Finally, the theoretical and practical implications, limitations and directions for future research were also discussed. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 125-144 Issue: 2 Volume: 5 Year: 2019 Keywords: small and medium enterprises; SMEs; mobile marketing; intention; technology-organisation-environment; TOE; Pakistan. File-URL: http://www.inderscience.com/link.php?id=101601 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:125-144 Template-Type: ReDIF-Article 1.0 Author-Name: Arindum Mukhopadhyay Author-X-Name-First: Arindum Author-X-Name-Last: Mukhopadhyay Title: An uncertain inventory model for deteriorating products with imperfections, variable selling price, partial backlogging and selling price dependent time varying demand Abstract: Imperfect items are unavoidable in inventory systems because of imperfect production, human-errors, damages, etc. In this competitive world, demand of a newly launched hi-tech products decreases over time because some better quality items are available in the market at the same or less price. This situation pushes the manufacturers to reduce selling price so that demand of that item may increase. Also many customers prefer to buy from other sellers when stock-out occurs. Keeping all these facts in mind, an inventory model is developed for imperfect items with decreasing selling price, waiting time dependent backlogging and selling price dependent time varying demand subject to constant deterioration rate adopting the techniques from uncertain programming, the above model is modified to an uncertain model with all the cost parameters as uncertain variables. Then the model is converted into equivalent expected value model and sensitivity of optimal policy is analysed. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 145-172 Issue: 2 Volume: 5 Year: 2019 Keywords: inventory; partial backlogging; shortages; deterioration; imperfect quality; uncertain programming. File-URL: http://www.inderscience.com/link.php?id=101603 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:145-172 Template-Type: ReDIF-Article 1.0 Author-Name: Sarat Chandra Nayak Author-X-Name-First: Sarat Chandra Author-X-Name-Last: Nayak Author-Name: Bijan Bihari Misra Author-X-Name-First: Bijan Bihari Author-X-Name-Last: Misra Title: VANFIS: virtual adaptive neuro-fuzzy inference system for modelling and forecasting stock data Abstract: Random fluctuations take place in stock data. At fluctuation points, it is difficult to predict the next data points from the previous data. Close enough data points are more informative to the forecasting process but not available adequately. This article presents deterministic and stochastic methods for exploration of virtual data positions from actual data and incorporated to original dataset. An adaptive neuro-fuzzy inference system (ANFIS) is exposed to such virtual data positions and works in a virtual environment. The model is termed as VANFIS, i.e., virtual ANFIS and employed to infer future stock indices of real stock markets. The performance of VANFIS methods are validated using 15 years data from ten stock markets and using five metrics. Also, relative worth of proposed methods are carried out over ANFIS. Experimental results show the significant improvement in prediction accuracy when proposed methods adopted. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 188-204 Issue: 2 Volume: 5 Year: 2019 Keywords: stock market forecasting; financial time series forecasting; ANFIS; virtual data position; VDP; linear extrapolation. File-URL: http://www.inderscience.com/link.php?id=101604 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:188-204 Template-Type: ReDIF-Article 1.0 Author-Name: Ebhote Oseremen Author-X-Name-First: Ebhote Author-X-Name-Last: Oseremen Title: Green marketing and competitive advantage in the manufacturing industry in Nigeria Abstract: The study examined the relationship between green marketing and competitive advantage in the manufacturing industry in Nigeria. In view of the competitiveness of the business environment in Nigeria, firms that hope to gain competitive advantage over their competitors in this era must be environmentally conscious through offering green products to consumers. The study's objective was to investigate green marketing and competitive advantage in the manufacturing industry in Nigeria. The study sample consisted of 64 registered manufacturing firms drawn from Edo and Delta States, South-South, Nigeria. The study employed ordinary least squares (OLS) multiple regression technique to analyse the data gathered from respondents. The study's findings revealed that product innovation and corporate social responsibility had a negative and significant relationship with competitive advantage while environmental commitment was significant and positively related to competitive advantage. The study recommended, among others things, that firms should embark on product innovation at regular interval aimed at adding environmental features to products, rebranding and repackaging. Finally, firms should in a matter of urgency improve on their corporate social responsibility in the environment where they operate. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 173-187 Issue: 2 Volume: 5 Year: 2019 Keywords: green; marketing; competitive; environment; manufacturing. File-URL: http://www.inderscience.com/link.php?id=101605 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:173-187 Template-Type: ReDIF-Article 1.0 Author-Name: Mehir Kumar Baidya Author-X-Name-First: Mehir Kumar Author-X-Name-Last: Baidya Author-Name: Bipasha Maity Author-X-Name-First: Bipasha Author-X-Name-Last: Maity Title: An empirical study of benchmarking marketing efforts Abstract: Shareholder value is non-negotiable in business. Marketing managers' should devise a marketing mix to create shareholder value. This work takes a modest attempt to devise and suggest a simplistic approach for managers of how to benchmark marketing efforts to maximise shareholder value. A quantitative research approach was taken into consideration. Four hypotheses were framed. Data on sales, advertising, and price were gathered from ten brands in a category over ten year. Thereafter, a hybrid regression model was fitted to data. Results reveal that the actual-points and the optimal-points of price and advertising are not equal in all nine cases in the pair-wise analyses. Findings of this research should guide managers to benchmark right price-point and right advertising-expenditures-point which indeed will maximise shareholder value of brand in question. This paper contributes to marketing because it highlights the role of marketing efforts in shareholder value creation and maximisation. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 223-240 Issue: 2 Volume: 5 Year: 2019 Keywords: advertising; brands; price; benchmarking; shareholder value; India. File-URL: http://www.inderscience.com/link.php?id=101606 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:223-240 Template-Type: ReDIF-Article 1.0 Author-Name: Sumit Sakhuja Author-X-Name-First: Sumit Author-X-Name-Last: Sakhuja Author-Name: Vipul Jain Author-X-Name-First: Vipul Author-X-Name-Last: Jain Author-Name: Shilpa Jain Author-X-Name-First: Shilpa Author-X-Name-Last: Jain Title: Comparing third-party logistics network and fourth-party logistics network using social network analysis approach Abstract: Logistics services are keys to the success of almost all the manufacturing firms. Logistics companies have great responsibility to minimise the supply chain risks. Third-party logistics provider has limited role in the supply chain, whereas fourth-party logistics provider performs series of operations in the supply chain. In this study, the role of logistics service providers has been quantified and the structure of 3PL and 4PL network is compared using social network analysis approach. A case study on logistics network has been discussed in this paper which is analysed with the help of social network analysis approach. The role of individual players in 3PL and 4PL has been described based on the outcomes of social network analysis of the networks. The work is an attempt to understand the role of key players in the network and thus can aid in making important decisions while collaborating with partners and making negotiations. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 205-222 Issue: 2 Volume: 5 Year: 2019 Keywords: logistics services; supply chain; networks; third-party logistic; 3PL; fourth-party logistic; 4PL; node level; network level. File-URL: http://www.inderscience.com/link.php?id=101607 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:205-222 Template-Type: ReDIF-Article 1.0 Author-Name: Saibal Dutta Author-X-Name-First: Saibal Author-X-Name-Last: Dutta Author-Name: Sujoy Bhattacharya Author-X-Name-First: Sujoy Author-X-Name-Last: Bhattacharya Title: Cross selling of investment products and services: a case study of leading financial services organisation Abstract: We have utilised 360-degree view of the customer information from multiple aspects of financial transaction, product purchase history and account details and provide insights to marketing teams in identifying the potential customers who can be targeted for cross sell of different financial investment products. Advanced analytics algorithms and statistical techniques like deep learning, neural network and logistic regression were applied on the transformed data to predict likelihood of cross sell response different financial product. The analysis of customer data helps to identify the potential customers who can be targeted for cross sell of different investment products and services. The result indicates deep leaning approach provide outstanding performance compare to neural network and logistic regression. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 241-248 Issue: 2 Volume: 5 Year: 2019 Keywords: cross-selling; financial products; investment products; predictive modelling; deep learning. File-URL: http://www.inderscience.com/link.php?id=101608 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:2:p:241-248 Template-Type: ReDIF-Article 1.0 Author-Name: Upendra Nath Shukla Author-X-Name-First: Upendra Nath Author-X-Name-Last: Shukla Title: Restoring digitisation for sustainable banking business in India Abstract: Recent initiatives of demonetisation and goods and service tax (GST) in India have promulgated more transactions via formal banking channel through digital mode making India a sustainable, less-cash economy. But current penetration of digital banking is in India is only 18% (Mckinsey Asia Financial Survey). Hence this research paper has a purpose to understand the root causes and customer's hitches for digital banking and to suggest a model to increase the penetration of digital banking in India. A survey of 690 banking customers is done to understand customer's interest for digital banking. Out of the six identified hitches for digital banking it is found that 'hitches of identity theft while using NET banking' and 'hitches due to misuse of confidential information by companies' are the most significant predictors to estimate the customer's interest for using digital banking. Customer's interest for digital banking varies significantly with age. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 304-320 Issue: 3 Volume: 5 Year: 2019 Keywords: digitisation; banking; sustainability; customers; demonetisation; India; market; competition; online; cashless; fintech. File-URL: http://www.inderscience.com/link.php?id=104043 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:304-320 Template-Type: ReDIF-Article 1.0 Author-Name: Sadhna Shukla Author-X-Name-First: Sadhna Author-X-Name-Last: Shukla Title: Neuromarketing: a change in marketing tools and techniques Abstract: The much-hyped field in cognitive sciences, neuromarketing, is still in its nascent stage which examines the brain responses to various marketing stimuli in order to comprehend the physiological genesis of consumer's choice. This study provides an integrative outline of the sophisticated tools and technologies used by neuromarketers for gaining hidden insight into consumer behaviour. Conventional marketing research approaches provided biased, intermediary solutions in revealing the true opinion of consumers. This paper also strives to present a snapshot of merits and demerits of traditional marketing and advance neuromarketing research approaches. However, earlier studies on neuromarketing have explored how different methodologies of neuromarketing are used to reveal the mysteries of consumer decision-making. Attempt has been made to integrate all the methodologies of market research to effectively probe and synthesise customer's underlying emotions with the help of triune brain model. Thereby, concluding with ethical issues and dilemma faced by the neuromarketing companies in today's world. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 267-284 Issue: 3 Volume: 5 Year: 2019 Keywords: cognitive science; consumer behaviour; decision-making; ethical; neuromarketing; stimuli. File-URL: http://www.inderscience.com/link.php?id=104044 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:267-284 Template-Type: ReDIF-Article 1.0 Author-Name: Anika Berens Author-X-Name-First: Anika Author-X-Name-Last: Berens Author-Name: Stefan Kolb Author-X-Name-First: Stefan Author-X-Name-Last: Kolb Author-Name: Heiko Haase Author-X-Name-First: Heiko Author-X-Name-Last: Haase Title: Critical success factors for digital platforms in B2B and B2C environments: an explicative multiple case study approach Abstract: Digital platforms belong to the fastest growing businesses in today's world. This paper explores critical success factors for the establishment of such platforms, focusing on both the B2B and B2C context. For this purpose, it uses a novel and confirmative qualitative approach, conducting explicative case studies of six globally leading digital platforms. Although all research theses investigated (business model's frontend and backend, agility, team diversity, ecosystem partnerships, visionary leadership and growth engines) were relevant for the analysed platforms, pivoting and branding strategy resulted as outstanding success factors. From a theoretical viewpoint, the paper contributes to enhancing the knowledge about the underlying drivers of digital platform businesses and offers options for future research. In practical terms, the outcomes contribute to effective platform creation and management. In particular, factors such as first-mover strategies, technology and design, frictionless entering, transparent information and ease of use lead to certain competitive advantages of digital platforms. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 346-370 Issue: 3 Volume: 5 Year: 2019 Keywords: digital platform; success factors; business-to-business; B2B; business-to-consumer; B2C; explicative case study. File-URL: http://www.inderscience.com/link.php?id=104045 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:346-370 Template-Type: ReDIF-Article 1.0 Author-Name: Mukesh Govind Kharat Author-X-Name-First: Mukesh Govind Author-X-Name-Last: Kharat Author-Name: Rekha D. Chikhalkar Author-X-Name-First: Rekha D. Author-X-Name-Last: Chikhalkar Author-Name: Manoj Kumar Jha Author-X-Name-First: Manoj Kumar Author-X-Name-Last: Jha Author-Name: Manoj Govind Kharat Author-X-Name-First: Manoj Govind Author-X-Name-Last: Kharat Title: An interpretative structural modelling approach to brand experience for consumer durables brands Abstract: The present study aims to recognise the facilitator and outcome variables of brand experience and investigate interlinks to develop a relationship among them. The variables were identified from the germane literature and brainstorming sessions with the academic and industry experts. Interpretative structural modelling (ISM) is applied to understand and model the relationship between the variables and their influence over each other. Further, the driving and dependence power is calculated to evaluate their influence. Results show that brand-related stimuli, appearance and marketing initiatives variables require a great deal of consideration due to their strategic significance. The results can be referred to as devise a marketing plan for offering a memorable and pleasant brand experience. The present study has significant implications to provide superior brand experience and strategic positioning. The study can be useful in managing and allocating the resources by understanding the strength and weakness of the studied variables. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 321-345 Issue: 3 Volume: 5 Year: 2019 Keywords: brand experience; antecedents; consumer durables; interpretive structural modelling-ISM; MICMAC analysis. File-URL: http://www.inderscience.com/link.php?id=104046 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:321-345 Template-Type: ReDIF-Article 1.0 Author-Name: Pradip Kumar Mitra Author-X-Name-First: Pradip Kumar Author-X-Name-Last: Mitra Author-Name: Charu Banga Author-X-Name-First: Charu Author-X-Name-Last: Banga Title: Predicting Indian basket crude prices through machine learning models - a comparative approach Abstract: Forecasting crude price can bring some stability in the decision making process for the firms dealing with it. Crude oil is a very volatile commodity so only linear time series modelling is not sufficient to predict its price. A nonlinear model like an artificial neural network is a better choice. The paper tries to test the prediction accuracy of a conventional neural network model and deep learning model using monthly data of Indian basket price of crude oil for 18 years. A simple MLP neural network model and a deep learning model of long short-term memory are used in the present study to find accuracies in predicting the crude price. The paper finds that a simple MLP model can provide better forecasting accuracy compared to a complicated LSTM model. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 249-266 Issue: 3 Volume: 5 Year: 2019 Keywords: crude oil price; forecasting; machine learning models; multilayer perceptron; MLP; neural network; long short-term memory; LSTM. File-URL: http://www.inderscience.com/link.php?id=104047 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:249-266 Template-Type: ReDIF-Article 1.0 Author-Name: Rajan Saxena Author-X-Name-First: Rajan Author-X-Name-Last: Saxena Author-Name: Kiran Desai Author-X-Name-First: Kiran Author-X-Name-Last: Desai Title: Fashion self-concept and fashion involvement: a mediation model Abstract: Single item fashion self-concept measures are useful in forecasting clothing expenditure. Actual fashion self-concept explains more variation than ideal fashion self-concept. Self-concept measures were mediated by the fashion involvement index in explaining their relationship with clothing expenditures. The short five item fashion involvement index has echoed its utility in fashion research in Indian context as well. A self-reported pen and paper survey amongst 159 respondents was conducted in a mega-city of India. The model was assessed for mediation relationships using Amos. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 285-303 Issue: 3 Volume: 5 Year: 2019 Keywords: fashion self-concept; single item measures; fashion involvement; expenditure on clothing; mediation. File-URL: http://www.inderscience.com/link.php?id=104048 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:285-303 Template-Type: ReDIF-Article 1.0 Author-Name: Sruthy S. Pillai Author-X-Name-First: Sruthy S. Author-X-Name-Last: Pillai Author-Name: G. Sandhya Author-X-Name-First: G. Author-X-Name-Last: Sandhya Author-Name: G. Rejikumar Author-X-Name-First: G. Author-X-Name-Last: Rejikumar Title: Acceptance of mobile payments and UPI technology - Indian context Abstract: The trend shows that more people prefer using the non-cash modes when cash shortage was at its crest even for small transaction. The context paved way for the researchers to examine consumer. We deployed the technology acceptance model (TAM) as the base theoretical framework to investigate into the subject matter. The premise for adopting the technology acceptance model is to measure and analyse the behaviour and attitude of customers towards adopting of mobile payment and UPI technology for transactions. The results suggested that there is a significant positive influence of simplicity and interoperability on the mobile payment adoption, timely contacts and security proved to have a negative influence on the dependent variable. People are more concerned about the security aspects as they believe that their monetary details are not safe while doing online transactions. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 371-384 Issue: 3 Volume: 5 Year: 2019 Keywords: mobile-payments; unified payments interface; UPI; TAM model. File-URL: http://www.inderscience.com/link.php?id=104049 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:5:y:2019:i:3:p:371-384