Template-Type: ReDIF-Article 1.0
Author-Name: Abhiraj Sen
Author-X-Name-First: Abhiraj
Author-X-Name-Last: Sen
Author-Name: Jaydip Sen
Author-X-Name-First: Jaydip
Author-X-Name-Last: Sen
Title: A study on the performance evaluation of equal-weight portfolio and optimum risk portfolio on the Indian stock market
Abstract:
Designing an optimum portfolio for allocating suitable weights to its constituent assets so that the return and risk associated with the portfolio are optimised is a computationally hard problem. The seminal work of Markowitz that attempted to solve the problem by estimating the future returns of the stocks is found to perform sub-optimally on real-world stock market data. This is because the estimation task becomes extremely challenging due to the stochastic and volatile nature of stock prices. This work illustrates three approaches to portfolio design minimising the risk, optimising the risk, and assigning equal weights to the stocks of a portfolio. Thirteen critical sectors listed on the National Stock Exchange (NSE) of India are first chosen. Three portfolios are designed following the above approaches choosing the top ten stocks from each sector based on their free-float market capitalisation. The portfolios are designed using the historical prices of the stocks from 1 January 2017 to 31 December 2022. The portfolios are evaluated on the stock price data from 1 January 2022 to 31 December 2022. The performances of the portfolios are compared, and the portfolio yielding the higher return for each sector is identified.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 37-95
Issue: 1
Volume: 10
Year: 2025
Keywords: return; risk; minimum risk portfolio; MRP; mean-variance portfolio; optimum risk portfolio; ORP; Sharpe ratio.
File-URL: http://www.inderscience.com/link.php?id=142945
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:1:p:37-95

Template-Type: ReDIF-Article 1.0
Author-Name: Alvaro Fabiano Pereira de Macedo
Author-X-Name-First: Alvaro Fabiano Pereira de
Author-X-Name-Last: Macedo
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: Luciano Luiz Dalazen
Author-X-Name-First: Luciano Luiz
Author-X-Name-Last: Dalazen
Author-Name: Deoclécio Junior Cardoso da Silva
Author-X-Name-First: Deoclécio Junior Cardoso da
Author-X-Name-Last: Silva
Title: Personality traits and their impact on decision-making risks in auction-based market purchases
Abstract:
Understanding human behaviour is pivotal in financial services marketing, particularly in decision-making processes. Given that individual characteristics can significantly influence participation dynamics in auctions, this research delves into how personality traits shape the risk profile of auction market purchasers. Utilising a mixed-methods approach, we gathered data from 58 qualitative and 282 quantitative respondents through an online questionnaire. This sample comprised Brazilian auction participants, both buyers and sellers. The analysis employed advanced statistical methodologies, highlighting descriptive statistics, hypothesis tests, and factor and regression analyses. We scrutinised five key personality constructs: extraversion, neuroticism, pleasantness, openness to experience, and conscientiousness. This study presents five principal insights, equipping auctioneers, sellers, and buyers with a deeper understanding of auction participant profiles. These findings pave the way for optimised business strategies and demystify auction dynamics.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 96-118
Issue: 1
Volume: 10
Year: 2025
Keywords: financial services marketing; behavioural finance; auction; personality traits; personal finance; marketing intelligence.
File-URL: http://www.inderscience.com/link.php?id=142947
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:1:p:96-118

Template-Type: ReDIF-Article 1.0
Author-Name: Alan D. Smith
Author-X-Name-First: Alan D.
Author-X-Name-Last: Smith
Title: Nearshoring and its potential impacts on the global supply chain: case study of retailing and manufacturing firms
Abstract:
In recent years, a multitude of events have occurred to significantly test the resiliency of global supply chains. The largest impact were the effects and fallout of the COVID-19 pandemic which saw extreme variability introduced to all aspects of supply chain management including procurement, warehouse operations, transportation and sustainability initiatives. To best counteract potential foreseen and unforeseen circumstances, organisations have reevaluated their ideologies and examined how nearshoring operations can be advantageous to minimise challenges and perils to their business continuity. A scholarly examination of the principles surrounding nearshoring and its impacts on global supply chains. With context paid to two Pittsburgh, PA-area companies in the retail and manufacturing markets, practical application of these principles are examined with managerial implications addressed. Nearshoring will be recommended as an efficient route for companies to achieve streamlined operational approaches and their goals within while minimising their risk exposure and maximising perceived values.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 1-21
Issue: 1
Volume: 10
Year: 2025
Keywords: business case study; information technology; IT; manufacturing; nearshoring; offshoring; onshoring; operations; retail marketing and services; supply chain management; SCM.
File-URL: http://www.inderscience.com/link.php?id=142951
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:1:p:1-21

Template-Type: ReDIF-Article 1.0
Author-Name: Chipem Zimik
Author-X-Name-First: Chipem
Author-X-Name-Last: Zimik
Author-Name: Prem Prakash Mishra
Author-X-Name-First: Prem Prakash
Author-X-Name-Last: Mishra
Title: Auction game of agro-product under cobweb phenomenon of supply and demand
Abstract:
Auction of agro-product between buyers and a farmer deals with first-price auctions in the situation of the cobweb model of supply and demand. The first price bidding auction lies in the neighbourhood of a balanced price of the indivisible agro-product. The selection of bid price holds the Weibull probability density function. We measure the available agro-product at the balance point of demand and supply which is associated with the balanced price. A new computational approach has been employed to obtain the optimum expected bidding value to get the win as well as the expected revenue earned by the farmer in the first price auction of agro-products under cobweb nature price fluctuations.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 119-139
Issue: 1
Volume: 10
Year: 2025
Keywords: agro-product; cobweb phenomenon; first-price auction; Weibull distribution; inventory level.
File-URL: http://www.inderscience.com/link.php?id=142956
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:1:p:119-139

Template-Type: ReDIF-Article 1.0
Author-Name: Sohela Malik
Author-X-Name-First: Sohela
Author-X-Name-Last: Malik
Author-Name: Nidhi Tandon
Author-X-Name-First: Nidhi
Author-X-Name-Last: Tandon
Title: Study of consumers' buying pattern of dietary supplements
Abstract:
Today's competitive world forces an individual to live a stressful life which leads to no other option but to compromise with their healthy habits. So, in order to cope up with this situation, individuals are moving towards dietary supplements. Dietary supplements are characterised as any health product that is largely expected to enhance the eating regimen when taken in form of any tablet, capsules, etc. This research talks about the increasing intake of dietary supplements among the population of age group above 18 years and the factors that affect their purchase. With the corona virus pandemic, a few patterns have speed up, while shopper needs have changed in accordance with the emergency. Customers in India have started putting their wellbeing first and this research demonstrates that respondents focus harder on a nutritious eating routine.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 22-36
Issue: 1
Volume: 10
Year: 2025
Keywords: consumer buying behaviour; dietary supplements; nutraceutical industry; corona virus pandemic.
File-URL: http://www.inderscience.com/link.php?id=143004
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:1:p:22-36

Template-Type: ReDIF-Article 1.0
Author-Name: Aman Tyagi
Author-X-Name-First: Aman
Author-X-Name-Last: Tyagi
Author-Name: Namit Khanduja
Author-X-Name-First: Namit
Author-X-Name-Last: Khanduja
Title: Automatic laptop purchase system based on case base reasoning technique
Abstract:
Laptop market is booming once again. Demand of laptops is increasing very fast due to COVID-19 pandemic and lockdowns at many places. Moreover, trend for work from home, online classes and e-business are very common these days. People in many underdeveloped/developing countries are facing the problem in selecting new laptop due to lack of technical knowledge. The problem is more complex because of lot of varieties/brands are available in the market. There is a need of extensive research in this area. In the present work, a case base reasoning (CBR) method is proposed to address the problem of customers to select suitable laptop according to their requirements within their budget. CBR methodology helps in decision making of selection of laptop automatically. Two methods are also developed to update the recent technologies model in the database and also store the feedback from customers about their previous laptops.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 165-184
Issue: 2
Volume: 10
Year: 2025
Keywords: case base reasoning; CBR system; decision support system; knowledge base; laptop purchase decision.
File-URL: http://www.inderscience.com/link.php?id=145274
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:165-184

Template-Type: ReDIF-Article 1.0
Author-Name: Varun Kesavan
Author-X-Name-First: Varun
Author-X-Name-Last: Kesavan
Author-Name: K. Sakthi Srinivasan
Author-X-Name-First: K. Sakthi
Author-X-Name-Last: Srinivasan
Title: A historical and bibliometric analysis of the current landscape and future prospects of financial inclusion
Abstract:
'Financial inclusion' refers to the provision of such services at a low cost and in a timely manner, especially for low-income and other marginalised individuals who lack even the most fundamental banking services. This study aims to determine how much research has been conducted on the topic of financial inclusion. This study aims to conduct the first systematic review of financial inclusion studies. In this investigation, open access research is also assessed. The selected Scopus articles were published between 2010 and 2022. The initial search yielded 3,382 publications; however, only 1,898 were included in the analysis. For bibliometric analysis, we utilise Biblioshiny R Studio. Throughout the course of history, there has been an upward trend in the rate of publication. The USA, China and India would all benefit substantially from this development. Numerous studies have focused on financial inclusion, banking in India, and other aspects of the Indian economy. This research on carbon emissions, the financial system, finance, financial inclusion, and financial services aims to address knowledge voids, organise key issues, contribute to the existing literature, and lay the foundation for future researchers.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 141-164
Issue: 2
Volume: 10
Year: 2025
Keywords: financial inclusion; financial exclusion; bibliometric analysis; Bibliometrix; science mapping; Scopus database.
File-URL: http://www.inderscience.com/link.php?id=145275
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:141-164

Template-Type: ReDIF-Article 1.0
Author-Name: Priyanka Bhaskar
Author-X-Name-First: Priyanka
Author-X-Name-Last: Bhaskar
Author-Name: Neha Seth
Author-X-Name-First: Neha
Author-X-Name-Last: Seth
Title: OpenAI: a PESTLE analysis of factors influencing ChatGPT's business growth
Abstract:
The generative pre-trained transformer is a large language model developed by OpenAI (San Francisco, California). ChatGPT is an advanced AI-powered chatbot that was educated using a massive database of human conversations. OpenAI's founders recognised the potential for AI to benefit society but were aware of the potential risks. ChatGPT offers transformative potential since it combines two state-of-the-art AI and NLP technologies. OpenAI investigates more areas of AI and experiments with more approaches to AI development. PESTLE analysis is a high-level method for considering potential influences on ChatGPT. OpenAI faces risks from various sources due to its global scope, including political, economic, social, technological, legal, and environmental. OpenAI is a research facility to maximise the positive effects of AI while minimising its negative ones. It has expanded the availability of AI, and pushed the technology's boundaries while emphasising its potential for good in the world.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 185-198
Issue: 2
Volume: 10
Year: 2025
Keywords: OpenAI; ChatGPT; PESTLE; organisation; external factors; artificial intelligence.
File-URL: http://www.inderscience.com/link.php?id=145287
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:185-198

Template-Type: ReDIF-Article 1.0
Author-Name: Shem Sikombe
Author-X-Name-First: Shem
Author-X-Name-Last: Sikombe
Title: Investigating after-sales service, customer satisfaction and word-of-mouth nexus: evidence from a branded car dealership
Abstract:
The study investigates after-sales service, customer satisfaction and word-of-mouth relationships using evidence from a branded car dealership. The study used a cross-sectional and structured questionnaire design to collect data from the branded car dealership customers. Seventy-seven questionnaires were successfully retained and analysed from customers in different locations. Hierarchical regression analysis and mediation analysis using the Hayes bootstrapping procedure was used. Results reveal a significant and positive relationship between maintenance facilities and customer satisfaction. Furthermore, a positive and significant relationship exists between warranty and customer satisfaction. However, the quality of spares has no significant relationship with customer satisfaction. The results also show that maintenance facilities are the major contributor to customer satisfaction at the branded car dealership. Additionally, results show that customer satisfaction mediates the relationship between the availability of maintenance facilities, warranties, quality of spares and word-of-mouth. Sales managers can utilise the findings to improve their competitiveness.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 199-213
Issue: 2
Volume: 10
Year: 2025
Keywords: after-sales service; customer satisfaction; word-of-mouth; branded car dealership.
File-URL: http://www.inderscience.com/link.php?id=145289
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:199-213

Template-Type: ReDIF-Article 1.0
Author-Name: Guilherme Braz Pitta
Author-X-Name-First: Guilherme Braz
Author-X-Name-Last: Pitta
Author-Name: Claudimar Pereira da Veiga
Author-X-Name-First: Claudimar Pereira da
Author-X-Name-Last: Veiga
Author-Name: Wesley Vieira da Silva
Author-X-Name-First: Wesley Vieira da
Author-X-Name-Last: Silva
Author-Name: Zhaohui Su
Author-X-Name-First: Zhaohui
Author-X-Name-Last: Su
Title: Consumer purchase behaviour in electronic commerce: main barriers
Abstract:
Several studies have been conducted on consumer purchase behaviour in electronic commerce. Most of these studies have attempted to identify factors influencing purchase behaviour and intentions in electronic commerce. However, with a growing number of consumers making purchases in electronic commerce, many people have not shopped in this online market due to uncertainties and perceived risks associated with online purchase transactions. This article seeks to identify the main barriers preventing consumers from making electronic commerce purchases and why they continue to resist this new technology. The collected data (n = 978) were analysed using structural equation modelling (SEM), demonstrating the importance of trust and perceived risk in deciding whether to buy electronic commerce. The results of this study are expected to help retailers' direct strategies to lower the main barriers that can affect the decision-making of potential consumers.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 214-237
Issue: 2
Volume: 10
Year: 2025
Keywords: e-commerce; barriers; electronic commerce purchase; non-shoppers; consumer behaviour; marketing intelligence; business retailing.
File-URL: http://www.inderscience.com/link.php?id=145291
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:214-237

Template-Type: ReDIF-Article 1.0
Author-Name: Alan D. Smith
Author-X-Name-First: Alan D.
Author-X-Name-Last: Smith
Title: Case study of global apparel companies: how some are adjusting their supply chain strategies to post-COVID-19
Abstract:
This research effort examined two retail companies, American Eagle and Duluth Trading Company, with two unique approaches to their supply chain management models. A consumer survey and analysis associated with the appeal industry in the same area (NS Ohio and Western PA) was completed. While the approaches may be different, similarities are shared between the two companies in relation to their supply chain automatisation. Optimising technology and automating processes while delivering resources and materials to supply final goods to its customers is a top priority. The competitive and demographic threats that these two companies are facing as they continue to find a sustainable model competing with other top-technological performers in the retail industry are real and compelling. The companies have gone through COVID-19 and have had to review processes in place to be able to overcome business closures and shutdowns.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 238-286
Issue: 2
Volume: 10
Year: 2025
Keywords: apparel industry; COVID-19; INCOTERMS; next-day delivery; omnichannel; supply chain management; SCM.
File-URL: http://www.inderscience.com/link.php?id=145311
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:2:p:238-286

Template-Type: ReDIF-Article 1.0
Author-Name: Thanh-Binh Phung
Author-X-Name-First: Thanh-Binh
Author-X-Name-Last: Phung
Author-Name: Nguyen Thi Thanh Ha
Author-X-Name-First: Nguyen Thi Thanh
Author-X-Name-Last: Ha
Author-Name: Ly My Van
Author-X-Name-First: Ly My
Author-X-Name-Last: Van
Author-Name: Nguyen Thi Hong Nhung
Author-X-Name-First: Nguyen Thi Hong
Author-X-Name-Last: Nhung
Author-Name: Nguyen Phuong Anh
Author-X-Name-First: Nguyen Phuong
Author-X-Name-Last: Anh
Author-Name: Dao Manh Ha
Author-X-Name-First: Dao Manh
Author-X-Name-Last: Ha
Title: The study of perceived severity of COVID-19 on online impulsive buying behaviour in Vietnam: the role of internal factors
Abstract:
Internal factors have been shown as important factors that affect online impulsive buying behaviour, especially when COVID-19 shifted shopping habits and caused a change in their minds. This study provides profound insight into the influence of the perceived severity of COVID-19 and enhances the internal factors affecting online impulsive buying behaviour. The perceived severity of COVID-19 during the pandemic caused a rise in monotony and sensation-seeking expressions, making online buying activities after the epidemic more appealing. The result showed that internal factors such as the perceived severity of COVID-19, stress, boredom, materialism, hedonic motivation, and sensation-seeking play a significant role in online impulsive buying behaviour. In contrast, there was no association between stress and browsing, perceived severity of COVID-19, and materialism.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 287-302
Issue: 3
Volume: 10
Year: 2025
Keywords: internal factors; impulsive buying; perceived severity; COVID-19; Vietnam.
File-URL: http://www.inderscience.com/link.php?id=147037
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:287-302

Template-Type: ReDIF-Article 1.0
Author-Name: Harleen Kaur
Author-X-Name-First: Harleen
Author-X-Name-Last: Kaur
Author-Name: Priya Devi
Author-X-Name-First: Priya
Author-X-Name-Last: Devi
Title: Interplay of digital trust alliance, entrepreneurial orientation and use of digital payments: digital shift of rural MSMEs to survive COVID-19
Abstract:
Through the lens of digital trust alliance and entrepreneurial orientation, this paper investigates the usage of digital payments among rural MSMEs during COVID-19 pandemic. Quantitative data were collected through survey from owners and managers of various micro, small and medium-sized enterprises across different industrial sectors. The study contributes to the survival of MSMEs using digital strategy during crisis. Digital trust alliance emerges as a significant element in usage of digital payments. It has been discovered that entrepreneurial orientation amplifies the ability of MSMEs to endure significant disruptions in business environment. The originality of the paper lies in the establishment of the moderating role of entrepreneurial orientation between the independent variable (digital trust alliance) and dependent variable (usage of digital payments). Additionally, it is one of a few studies looking into rural MSMEs digital shift to survive COVID-19 in India.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 343-356
Issue: 3
Volume: 10
Year: 2025
Keywords: digital payments; digital transformation; COVID-19; MSMEs; entrepreneurial orientation.
File-URL: http://www.inderscience.com/link.php?id=147041
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:343-356

Template-Type: ReDIF-Article 1.0
Author-Name: Sukhvinder Angoori
Author-X-Name-First: Sukhvinder
Author-X-Name-Last: Angoori
Author-Name: Sanjeev Kumar
Author-X-Name-First: Sanjeev
Author-X-Name-Last: Kumar
Title: Barriers to reusage and adoption of Pradhan Mantri Ujjwala Yojana
Abstract:
Pradhan Mantri Ujjwala Yojana is a significant government intervention in India for the cooking energy transition. The program was aimed to safeguard woman from different hazards associated with the use of TCF, whether it is related to their health, economies, or social well-being. The scheme provided the LPG connection to poor households with free or minimal costs. However, after receiving the LPG connection, the women continuously use TCF. The paper aims to identify the factors forcing women to use TCF. The paper finds that the easy access, price, and amount of usage of TCF and LPG, cooking practices, and food types of rural households discourage the adoption of LPG as a main fuel in rural India.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 357-376
Issue: 3
Volume: 10
Year: 2025
Keywords: adoption; barriers; health; LPG; Pradhan Mantri Ujjwala Yojana; PMUY; rural; traditional cooking fuel; TCF; women.
File-URL: http://www.inderscience.com/link.php?id=147043
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:357-376

Template-Type: ReDIF-Article 1.0
Author-Name: Norasyikin Abdullah Fahami
Author-X-Name-First: Norasyikin Abdullah
Author-X-Name-Last: Fahami
Author-Name: Mohd. Faizal Basri
Author-X-Name-First: Mohd. Faizal
Author-X-Name-Last: Basri
Title: Unveiling trends and opportunities: a bibliometric analysis of stock market research
Abstract:
This study highlights the current trends, main areas, keywords, and opportunities for future research in the field of stock market research. Bibliometric analysis using Harzing's Publish and Perish (PoP) software and VOSviewer was used to analyse a sample of 6,426 studies from the Scopus database between 2018 and 2022. This study identifies prominent authors and articles by evaluating their citations, publications, geographical locations, and importance within the network. The authors also analysed keywords and co-occurrences to identify the top keywords and their associations, current topics, current state of collaboration, and areas for further research. Although research on the stock market is global, cross-national collaboration is lacking, particularly among authors from different regions and nations. Considering academic interest in the stock market, this study concludes by suggesting new keywords and possible research questions that should be explored in future studies.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 318-342
Issue: 3
Volume: 10
Year: 2025
Keywords: bibliometric; VOSviewer; Harzing's Publish and Perish; Scopus; trends; opportunities; stock market; keywords; theme; future research.
File-URL: http://www.inderscience.com/link.php?id=147045
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:318-342

Template-Type: ReDIF-Article 1.0
Author-Name: Tanushree Banerjee
Author-X-Name-First: Tanushree
Author-X-Name-Last: Banerjee
Title: Role of traditional and online advertisement in building brand equity: a study on selected household appliances
Abstract:
The role of marketing communications, especially advertisement in brand development is a widely researched area. In today's marketing landscape there is a growing preference for internet and technology based advertising, yet traditional methods retain significance. This study aims to compare the impact of traditional and digital advertisements on brand equity and its dimensions based on Aaker's model. Focussed on consumer durable segment, data from 227 consumers was analysed using structural equation modeling (SEM). Results showed both forms of advertising positively influenced brand equity dimensions with traditional ads notably impacting brand perceived quality. This reaffirms the enduring importance of traditional advertising despite evolving communication trends. Additionally findings support the applicability of Aaker's brand equity model (1992) particularly in consumer durable segment. While all four brand equity constructs were not equally influential, brand association, brand loyalty and perceived quality significantly contribute to brand equity, aiding marketers in understanding their respective roles in brand building.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 377-395
Issue: 3
Volume: 10
Year: 2025
Keywords: brand equity; brand awareness; brand loyalty; perceived quality; brand associations; traditional ads; digital ads.
File-URL: http://www.inderscience.com/link.php?id=147050
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:377-395

Template-Type: ReDIF-Article 1.0
Author-Name: Precious Chikezie Ezeh
Author-X-Name-First: Precious Chikezie
Author-X-Name-Last: Ezeh
Author-Name: Ali Isah
Author-X-Name-First: Ali
Author-X-Name-Last: Isah
Author-Name: Rufai Mohammed Abdulrahman
Author-X-Name-First: Rufai Mohammed
Author-X-Name-Last: Abdulrahman
Title: Predictors and inhibitors of mobile banking adoption in Nigeria
Abstract:
The adoption of mobile banking in Nigeria is still very low despite Nigerian Government bent on introducing cashless policy. Thus, the aim of this paper is to investigate the predictors and inhibitors of mobile banking adoption in northwest Nigeria. Data for this paper were collected from 400 respondents in northwestern Nigeria. The relationship between constructs was examined using AMOS-structural equation model. The reliability and validity of the instrument were examined using Cronbach's alpha, composite reliability and average variance extracted. The findings revealed that only self-efficacy influence the adoption of mobile banking. This study extends TAM and also introduces gender as a moderator. It was found that self-efficacy and perceived ease of use influence the adoption of mobile banking among male, while all the factors tested have no significant influence among female. The study has exposed the reasons for the low adoption of mobile banking among Nigerians.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 303-317
Issue: 3
Volume: 10
Year: 2025
Keywords: mobile banking; perceived usefulness; perceived ease of use; PEOU; perceived self-efficacy; amount of information; Nigeria; technology acceptance model; TAM; gender.
File-URL: http://www.inderscience.com/link.php?id=147068
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:303-317

Template-Type: ReDIF-Article 1.0
Author-Name: Alan D. Smith
Author-X-Name-First: Alan D.
Author-X-Name-Last: Smith
Title: Inventory management and RFID in healthcare: case study and an empirical look at the potential of the online pharmacy industry
Abstract:
RFID technologies in the healthcare industry might be the solution to the changing challenges the industry has had to face recently. Pharmaceutical companies have to deal with international drug requirements and regulations, and a complex network of distribution channels. University of Pittsburgh Medical Center (UPMC) (established 1893) and Allegheny Health Network (AHN) (established 1999) have significantly evolved in their supply chain operations and inventory management. This has left the opportunity for them to start a system, and have it advance over time. It started on paper, and as the Internet was created, there were easier methods for inventory control. With new processes come new obstacles, such as supply chain problems and inventory management issues. Supply chain tactics used by both hospitals and provide ways to alleviate some inventory management issues are highlighted. A comparison of the systems as well as an empirical study should provide much needed insights for improvements.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 396-432
Issue: 3
Volume: 10
Year: 2025
Keywords: demand forecasting; enterprise resource planning; ERP; inventory management; healthcare; online pharmacies; RFID; supplier management.
File-URL: http://www.inderscience.com/link.php?id=147072
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:3:p:396-432

Template-Type: ReDIF-Article 1.0
Author-Name: Muhammad Umer Chaudhry
Author-X-Name-First: Muhammad Umer
Author-X-Name-Last: Chaudhry
Author-Name: Syed Shoaib Nazir
Author-X-Name-First: Syed Shoaib
Author-X-Name-Last: Nazir
Title: An exploratory study of various factors influencing customer behaviour towards apparel e-commerce in Pakistan
Abstract:
This study investigated the interplay between customer behaviour, attitudes toward e-commerce and apparel e-commerce, and brand image in Pakistan's apparel e-commerce sector. Using a survey of 466 Pakistani apparel online shoppers, with equal gender representation, the research explored factors influencing customer behaviour, with customer attitude and brand image as independent variables and behaviour as dependent. Statistical analyses confirmed significant positive relationships between customer attitude toward e-commerce and apparel e-commerce, brand image, and customer behaviour. Findings suggest that favourable e-commerce attitudes and positive brand perceptions enhance customer behaviour in apparel e-commerce. Additionally, demographic attributes were found to influence customer behaviour and attitudes. This underscores the importance of understanding both consumer perceptions and demographic factors in shaping strategies within the apparel e-commerce market in Pakistan.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 433-451
Issue: 4
Volume: 10
Year: 2025
Keywords: apparel e-commerce; customer-behaviour; CB; customer-attitude; CA; brand-image; BI; Pakistan; brands; perception; online-shopping; customer-gratification; clothing items.
File-URL: http://www.inderscience.com/link.php?id=148880
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:4:p:433-451

Template-Type: ReDIF-Article 1.0
Author-Name: Alan D. Smith
Author-X-Name-First: Alan D.
Author-X-Name-Last: Smith
Title: Perceptual benchmarking study of personal water conservation and its global crisis within a healthcare environment
Abstract:
Droughts and lack of quality water supplies have become a worldwide phenomenon that has been accelerating within the last 50+ years. This crisis has created unusable grey water and greatly reduced needed water supplies for consumption and sanitation. It has become a global healthcare policy problem that must be solved. This research outlines the growing number of the population that is experiencing a shortage of potable water and analyses methods for reducing the severity of this problem. Based on an analysis of primarily a sample of the Great Lakes' population (n = 580), motivation concerning water conservation and water scarcity were examined. Each age group and gender were analysed and three hypotheses were tested to determine if these relationships among conservation variables were statistically significant. Unfortunately, most were not actively involved, just installing water-conserving fixtures in their home by a function of age, females and more educated are most concerned.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 452-485
Issue: 4
Volume: 10
Year: 2025
Keywords: cognitive dissonance theory; grey water; personal healthcare; pollution; water conservation; water infrastructure; water shortage.
File-URL: http://www.inderscience.com/link.php?id=148881
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:4:p:452-485

Template-Type: ReDIF-Article 1.0
Author-Name: P.F. Bansah
Author-X-Name-First: P.F.
Author-X-Name-Last: Bansah
Author-Name: V. Gaffar
Author-X-Name-First: V.
Author-X-Name-Last: Gaffar
Author-Name: H. Disman
Author-X-Name-First: H.
Author-X-Name-Last: Disman
Author-Name: A.K. Yeliawati
Author-X-Name-First: A.K.
Author-X-Name-Last: Yeliawati
Title: Online environmental influencers and pro-environmental purchase intentions: examining the interplay of green brand attitude and green brand associations in green fast-moving consumer goods
Abstract:
This study investigates the influence of online green influencers on pro-environmental purchase intentions and the mediating effects of green brand attitudes and associations of green fast-moving consumer goods in Ghana (FMCG). We examined the data collected using questionnaires from a diverse sample of 649 participants. Structural equation modelling was used to analyse the empirical data. We found that online green influencers exert a significant effect on the pro-environmental purchase intentions of FMCG consumers. We establish that the relationship between online green influencers and pro-environmental purchasing intentions is mediated by green brand attitude. In addition, we established that online green influencers have an indirect impact on pro-environmental purchasing intentions through the cultivation of a positive attitude towards green brands rather than through the establishment of associations with green brands. Leveraging online green influencers, building strong brand associations with sustainability, and cultivating positive brand attitudes enhance pro-environmental purchase intentions.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 486-506
Issue: 4
Volume: 10
Year: 2025
Keywords: online green influencers; green brand attitude; green brand associations; pro-environmental purchase intentions; structural equation model.
File-URL: http://www.inderscience.com/link.php?id=148882
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:4:p:486-506

Template-Type: ReDIF-Article 1.0
Author-Name: Jaydip Sen
Author-X-Name-First: Jaydip
Author-X-Name-Last: Sen
Author-Name: Hetvi Waghela
Author-X-Name-First: Hetvi
Author-X-Name-Last: Waghela
Author-Name: Sneha Rakshit
Author-X-Name-First: Sneha
Author-X-Name-Last: Rakshit
Title: Exploring sectoral profitability in the Indian stock market using deep learning
Abstract:
This paper explores using a deep learning long short-term memory (LSTM) model for accurate stock price prediction and its implications for portfolio design. Despite the efficient market hypothesis suggesting that predicting stock prices is impossible, recent research has shown the potential of advanced algorithms and predictive models. The study builds upon existing literature on stock price prediction methods, emphasising the shift toward machine learning and deep learning approaches. Using historical stock prices of 180 stocks across 18 sectors listed on the NSE, India, the LSTM model predicts future prices. These predictions guide buy/sell decisions for each stock and analyse sector profitability. The study's main contributions are threefold: introducing an optimised LSTM model for robust portfolio design, utilising LSTM predictions for buy/sell transactions, and insights into sector profitability and volatility. Results demonstrate the efficacy of the LSTM model in accurately predicting stock prices and informing investment decisions. By comparing sector profitability and prediction accuracy, the work provides valuable insights into the dynamics of the current financial markets in India.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 527-566
Issue: 4
Volume: 10
Year: 2025
Keywords: deep learning; long short-term memory; LSTM; network; return; sectoral portfolio; risk; India.
File-URL: http://www.inderscience.com/link.php?id=148883
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:4:p:527-566

Template-Type: ReDIF-Article 1.0
Author-Name: Saket Ranjan Praveer
Author-X-Name-First: Saket Ranjan
Author-X-Name-Last: Praveer
Author-Name: Baba Gnanakumar Perpetran
Author-X-Name-First: Baba Gnanakumar
Author-X-Name-Last: Perpetran
Author-Name: M.K. Baby
Author-X-Name-First: M.K.
Author-X-Name-Last: Baby
Title: Beyond the bling: demystifying the surge in India's gold ETF market
Abstract:
This research investigates the surge in demand for Gold Exchange Traded Funds (ETFs) in India compared to physical gold between April 2019 and October 2023. It aims to identify the factors driving this shift, focusing on investor sentiment, risk-return profiles, and market trends. The study employs a two-phase approach. First phase analyses the relationship between gold and Gold ETFs in terms of price and returns using Pearson correlation and Granger causality tests. Second phase assesses investor sentiment through sentiment analysis of reviews from investment forums. Data is collected for gold prices, returns, Gold ETF prices, returns, and investor sentiment from April 2019 to October 2023. The analysis focuses on seven Gold ETFs with exponential growth: HDFC, ICICI, LIC, NIPPON, SBI, UTI, and KOTAK. The research findings provide valuable insights into the dynamics of investment surges and their implications for market participants.
Journal: Int. J. of Business Forecasting and Marketing Intelligence
Pages: 507-526
Issue: 4
Volume: 10
Year: 2025
Keywords: Gold ETFs; investment surge; investor sentiment; gold price; Granger causality; India.
File-URL: http://www.inderscience.com/link.php?id=148884
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Handle: RePEc:ids:ijbfmi:v:10:y:2025:i:4:p:507-526