Template-Type: ReDIF-Article 1.0 Author-Name: Packiaraj Thangavel Author-X-Name-First: Packiaraj Author-X-Name-Last: Thangavel Author-Name: Bibhas Chandra Author-X-Name-First: Bibhas Author-X-Name-Last: Chandra Title: Impact of sanctions on Russia on global economy Abstract: It has been well-established that countries make significant economic benefits when they participate in free trade with one another. The world has been becoming more and more integrated lately and frictionless flow of goods, capital and human resources have been happening across the boundary. When a country gets de-coupled from global trade by economic sanctions it crumbles, to name a few - Iraq, Iran, and North Korea. However, the sanctions are effective when they are imposed on the weak whose contribution to global GDP is insignificant, whereas when it is imposed on the one who has been offering key commodities, it is likely to backfire on imposing nations too. This article highlights various macroeconomic impact of Russian incursion into Ukraine territory and the resulted economic sanctions by Western allies. We do not discuss on the justification of the war or sanctions, but simply analyse the consequences of them on global economy. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 1-8 Issue: 1 Volume: 9 Year: 2024 Keywords: economic sanctions; invasion of Ukraine; global economy; inflation; supply chain disruption; globalisation; Russia; European Union. File-URL: http://www.inderscience.com/link.php?id=135717 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:1-8 Template-Type: ReDIF-Article 1.0 Author-Name: Yossi Hadad Author-X-Name-First: Yossi Author-X-Name-Last: Hadad Author-Name: Baruch Keren Author-X-Name-First: Baruch Author-X-Name-Last: Keren Author-Name: Dima Alberg Author-X-Name-First: Dima Author-X-Name-Last: Alberg Title: Handling the inconsistency in ranking customers via several multi-criteria ranking methods Abstract: There are many multi-criteria methods for ranking and classifying customers, but it is difficult to determine which, if any, ranking method is the best. In this paper, we propose an application that uses several ranking methods, is easy to implement and retrieves ranking criteria values from the customer relationship management system. Because each ranking method can yield a different ranking for each customer, we suggest giving each ranking method the same weight so that each customer's final ranking will be determined by the average of the ranks obtained from all the ranking methods. A unique result of the proposed application is the possibility of calculating the variance of the rank for each customer and the confidence intervals. The applicability of the proposed method was demonstrated in a real case study with nine ranking methods; IPython codes of five of those methods are available herein. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 50-79 Issue: 1 Volume: 9 Year: 2024 Keywords: marketing intelligence; customer relationship management; CRM; multiple criteria decision analysis; MCDA; data envelopment analyses; DEAs; analytic hierarchy process; AHP; shortest distance ranking methods. File-URL: http://www.inderscience.com/link.php?id=135719 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:50-79 Template-Type: ReDIF-Article 1.0 Author-Name: Kah Choon Ng Author-X-Name-First: Kah Choon Author-X-Name-Last: Ng Author-Name: Sui Chai Yap Author-X-Name-First: Sui Chai Author-X-Name-Last: Yap Author-Name: Dag Øivind Madsen Author-X-Name-First: Dag Øivind Author-X-Name-Last: Madsen Author-Name: Anil Kumar Author-X-Name-First: Anil Author-X-Name-Last: Kumar Title: Evaluation of visitor reviews and implementation of initiatives to enhance the cave experience: a case study on the Kek Lok Tong Cave in Malaysia Abstract: Cave temple tourism is the practice of visiting and exploring cave temples. In this paper, a case study of the Kek Lok Tong Cave in Malaysia is conducted in order to explore visitor reviews and based on these comments and secondary data on the safety of the temple, initiating initiatives to improve the cave experience. This study helps to understand the concept of cave tourism in Southeast Asia and provides some insight into the various tourism activities that take place in that region. The findings of the case study highlight the functions and perspectives of visitors to a touristy limestone temple to increase current knowledge and understanding of the protection and management of karst caves. The case study of Kek Lok Tong contributes to the currently small literature on cave temple tourism and is an illustration of cave tourism in Southeast Asia. The study also has practical implications for the local and regional tourism industry on how to manage and develop cave temples. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 103-120 Issue: 1 Volume: 9 Year: 2024 Keywords: cave tourism; cave temple; cave experience; visitor reviews; Malaysia. File-URL: http://www.inderscience.com/link.php?id=135721 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:103-120 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Title: COVID-19 and its perceived health belief impact on prepared food delivery services from a consumer behaviour perspective Abstract: COVID-19 has impacted the lives of billions of people around the globe. Industries are encountering challenges and adjusting to continue to survive the detrimental effects of the pandemic. Our group will focus on the restaurant (both fast-food and traditional sit downs) industry and further explore customer delivery services that has provided an opportunity for customers throughout the pandemic. DoorDash, Grubhub, and UberEats are leaders within the customer delivery industry and will be further analysed to see how impactful they have been throughout the pandemic. Four different categorical criteria were used to help empirically investigate the impact of prepared food services within the COVID-19 environment and afterwards. Questions will be developed within each of the categories to provide consumer insight. A sample of 3,240 respondents completed an online questionnaire. The results and conclusions projected potential continued and significant growth for customer delivery services DoorDash, Grubhub, and UberEats in a post-pandemic environment. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 9-49 Issue: 1 Volume: 9 Year: 2024 Keywords: consumer behaviour; COVID-19; DoorDash; empirical; Grubhub; health belief model; HBM; online food delivery services; pandemic; reasoned actions model; technical sophistication; UberEats. File-URL: http://www.inderscience.com/link.php?id=135723 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:9-49 Template-Type: ReDIF-Article 1.0 Author-Name: Halimberdy Gharajeh Author-X-Name-First: Halimberdy Author-X-Name-Last: Gharajeh Title: Do customers still buy online services? Comparing the purchase intention towards online paid courses in the COVID-19 era with the short and long-term periods after COVID-19 Abstract: COVID-19 changed many aspects of our lives, one of which has been the use of online educational services. Currently, we are gradually recovering from the COVID-19; however, the question whether people still want to purchase online paid courses (OPCs) or not is still relevant. Therefore, this study aims to compare the purchase intention concerning OPCs in the COVID-19 era with the short and long-term periods after the pandemic. Five hundred ninety-seven students from northern Iran's universities completed a survey during April and June 2022. The answers were analysed with the help of the paired-samples T test method. The results demonstrated that there was no significant difference in the era and short-term period after COVID-19, however, there has been witnessed a considerable decrease in such intentions during the long-time period. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 121-132 Issue: 1 Volume: 9 Year: 2024 Keywords: purchase intention; online paid courses; OPCs; customer behaviour; post COVID-19; paired-samples T test. File-URL: http://www.inderscience.com/link.php?id=135724 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:121-132 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: Fabíola Kaczam Author-X-Name-First: Fabíola Author-X-Name-Last: Kaczam Author-Name: Zhaohui Su Author-X-Name-First: Zhaohui Author-X-Name-Last: Su Author-Name: Wesley Vieira da Silva Author-X-Name-First: Wesley Vieira da Author-X-Name-Last: Silva Title: Reviewing the scientific literature of the barriers to online purchases Abstract: In recent decades, electronic commerce has grown significantly in scope and revenue through widespread internet access. Nevertheless, some consumers resist using electronic channels for online purchases. In this context, this article presents a typology addressing why consumers do not purchase electronic commerce and brings the main barriers preventing consumers from purchasing online. For this, a systematic literature review over 12 years. The typology was constructed, proposing four classes: 1) methodological procedures; 2) risk; 3) customer adoption; 4) business environment. Besides identifying the typology, this article makes other contributions: 1) the presentation of an updated portfolio of studies related to online consumer behaviour; 2) the presentation of the bibliometric characteristics of the field of research; 3) a set of barriers and strategies to reduce them; 4) a set of future research recommendations. This study can help managers formulate strategies to lower barriers preventing online purchases. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 80-102 Issue: 1 Volume: 9 Year: 2024 Keywords: internet commerce; consumer behaviour; online non-shopping; barriers. File-URL: http://www.inderscience.com/link.php?id=135725 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:1:p:80-102 Template-Type: ReDIF-Article 1.0 Author-Name: Moges Tufa Author-X-Name-First: Moges Author-X-Name-Last: Tufa Author-Name: Måns Söderbom Author-X-Name-First: Måns Author-X-Name-Last: Söderbom Title: The effect of firm absorptive capacity on learning by importing: mediation role of industry policy-induced intermediate input import Abstract: A growing body of evidence from studies on firms suggests that firm-level capability building is important for a firm's sustained competitiveness and national growth. In this paper, we base our argument on contemporary theories of firms to investigate the link between a firm's absorptive capacity and its effects to utilise external opportunities. The study also examines the mediation role of sector-specific industry policy in channelling the relationship between firm absorptive capacity (firm internal resource-bases) and learning by importing. We applied nonlinear generalised structural equation model (GSEM) on the mix of administrative and survey data from 271 chemical manufacturing firms in Ethiopia. We estimate direct, indirect, total effects and mediation paths tests. Our findings support the hypotheses and the results are consistent across analysis steps. The notable finding implies the existence of a positive and significant association between firm internal resource bases and firm learning by importing. Heterogeneous and marginal analysis was discussed. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 243-270 Issue: 3 Volume: 9 Year: 2024 Keywords: industry policy-induced; learning by importing; open innovation; absorptive capacity; GSEM; mediation; Ethiopia. File-URL: http://www.inderscience.com/link.php?id=139336 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:3:p:243-270 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: The growth of financial technology: a bibliometric and historical analysis Abstract: Modern developments in financial technology (FinTech) contribute to the sustainability of a community. The term 'FinTech' refers to an expansive industry that encompasses everything from data protection to the deliverance of financial services, enabling businesses to optimise their operations and develop innovative new products. As a result, field specialists are in high demand because more people rely on them to predict the subject's future development. This study aims to be the first comprehensive examination of FinTech research. In this investigation, open access research is also assessed. The articles were selected from Web of Science (WOS) between 2016 and 2022. The initial search resulted in 3,033 publications, but only 889 were considered for the study. Bibliometric analysis is performed using Biblioshiny R Studio. Throughout the course of history, there has been an upward trend in the rate of publication. This will result in significant benefits for China, the USA, and the UK. Numerous studies have focused on the Chinese economy, banking system, financial services, and financial technology. The objectives of this investigation into adoption, impact, returns, and risk are to address information gaps, organise essential topics, contribute to the existing literature, and set the foundation for future research. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 331-354 Issue: 3 Volume: 9 Year: 2024 Keywords: FinTech; technological advancements; bibliometric analysis; bibliometrix; science mapping; Web of Science database; WOS. File-URL: http://www.inderscience.com/link.php?id=139343 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:3:p:331-354 Template-Type: ReDIF-Article 1.0 Author-Name: Ayat Saed Mohammad Author-X-Name-First: Ayat Saed Author-X-Name-Last: Mohammad Author-Name: Sana'a Nawaf Al-Nsour Author-X-Name-First: Sana'a Nawaf Author-X-Name-Last: Al-Nsour Author-Name: Leen Suliman Mohammad Author-X-Name-First: Leen Suliman Author-X-Name-Last: Mohammad Title: Live stream marketing and consumer behaviour of the online consumers in Jordan Abstract: This research aimed to identify the impact of using live stream marketing on consumer purchase intentions. A questionnaire was used to collect primary data. The study population consisted of electronic buyers who use the live stream feature when shopping for their needs. 500 questionnaires were distributed and 299 of them were retained and valid for analysis. Smart PLS4 approaches were used to analyse the data. The research found that the consumer intention to buy is subject to the entertainment, information, attractiveness, expertise and trustworthiness. The research suggested that marketers in Jordan should pay more attention to the way they apply live stream marketing and work more to understand the features that the viewer prefers, they should also be aware of the ways they have to apply in order to increase the consumer's attention to buy their product. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 318-330 Issue: 3 Volume: 9 Year: 2024 Keywords: live stream marketing; purchase intention; Jordan. File-URL: http://www.inderscience.com/link.php?id=139346 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:3:p:318-330 Template-Type: ReDIF-Article 1.0 Author-Name: Antônio Augusto Rodrigues de Camargo Author-X-Name-First: Antônio Augusto Rodrigues de Author-X-Name-Last: Camargo Author-Name: Mauri Aparecido de Oliveira Author-X-Name-First: Mauri Aparecido de Author-X-Name-Last: Oliveira Title: Analysis of the application of different forecasting methods for time series in the context of the aeronautical industry Abstract: The aeronautical sector is a vital part of the Brazilian industrial landscape, contributing to the development of new technologies and production techniques with potential applications in other industries. However, there are limited studies on implementing improvements in its systems, highlighting the need for attention in specific subareas of companies in this sector. One such area is the production-planning department, especially the forecasting techniques applied in the supply chain. The objective is to compare the effectiveness of various time series forecasting methods, including classical statistical methods and neural networks (NN) using three different evaluation metrics. The study employs a real-time series that depicts the consumption of a specific material extensively used in the production line of a major Brazilian aircraft manufacturer. The purpose is to emphasise the significance of optimising strategic planning within the aeronautical sector and the potential savings that can be achieved by selecting the best forecast. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 300-317 Issue: 3 Volume: 9 Year: 2024 Keywords: forecasting; time series analysis; aeronautical industry; supply chain; statistical methods; neural networks; NN; operations research; Kanban; simple exponential smoothing; forecast accuracy. File-URL: http://www.inderscience.com/link.php?id=139347 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:3:p:300-317 Template-Type: ReDIF-Article 1.0 Author-Name: Natália Munari Pagan Author-X-Name-First: Natália Munari Author-X-Name-Last: Pagan Author-Name: Karina Munari Pagan Author-X-Name-First: Karina Munari Author-X-Name-Last: Pagan Author-Name: Janaina de Moura Engracia Giraldi Author-X-Name-First: Janaina de Moura Engracia Author-X-Name-Last: Giraldi Author-Name: Jorge Henrique Caldeira de Oliveira Author-X-Name-First: Jorge Henrique Caldeira de Author-X-Name-Last: Oliveira Title: Neurofeedbacks on brands in the context of neuroscience applied to consumption: mapping the state-of-the-art and research agenda Abstract: The objective of the research was to carry out a literature review of neurofeedbacks research in brands in neuromarketing. Using the content analysis technique, it was possible to group neuromarketing research on brands into four main categories: 1) brand preferences; 2) brand extension; 3) strong brands and weak brands; 4) other brand studies. Among all the neurofeedback tools currently available, only EEG and fMRI tools are used in the studies found. The EEG and fMRI tools are very effective and very relevant in understanding the role of the brand in the consumer's mind. Both tools allow a better understanding of the role of brands, as they allow the evaluation, measurement, and detection of electrical pulses exchanged between neurons (in the case of EEG), and the magnetic field of the brain (in the case of fMRI). Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 271-299 Issue: 3 Volume: 9 Year: 2024 Keywords: neuromarketing; neurofeedbacks tools; brand; neurons; brain; electroencephalography; EEG; consumer behaviour; preferences; cognitive response; affective response; mental response; electrical pulses; fRMI; decision-making. File-URL: http://www.inderscience.com/link.php?id=139357 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:3:p:271-299 Template-Type: ReDIF-Article 1.0 Author-Name: Alan D. Smith Author-X-Name-First: Alan D. Author-X-Name-Last: Smith Author-Name: Prasad Vemala Author-X-Name-First: Prasad Author-X-Name-Last: Vemala Title: Traditional and cryptocurrency investment concerns: the perceived future of investing Abstract: There are few financial investment options that have created such controversy and risk as cryptocurrency. A sample of 1,450 individuals and a statistical analysis of intrinsic and extrinsic variables via three specific research hypotheses contrasting financial competency about traditional versus cryptocurrency investors. Blockchain technologies that drive much of the improvements in global supply chains, e-commerce, and cryptocurrency exchanges has provided the efficiencies within information-driven systems. The huge swings and significant drops in cryptocurrencies' value from previous highs, are hallmarked by its volatile and risk. The familiarity of cryptocurrencies has generated relatively comfortability if they were using cryptocurrencies as the majority of their investments, which were relatively few. Although high expected returns were common, few felt that it was a viable long-term financial strategy. There were many striking differences among the age, income, and gender groups in terms of financial competency. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 355-407 Issue: 4 Volume: 9 Year: 2024 Keywords: big-data analytics; blockchain; cryptocurrency; digital currency; financial competency; gender; Roth IRA; responsible consumption; risk assessments. File-URL: http://www.inderscience.com/link.php?id=141738 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:355-407 Template-Type: ReDIF-Article 1.0 Author-Name: Alamir Costa Louro Author-X-Name-First: Alamir Costa Author-X-Name-Last: Louro Author-Name: Clara Gonçalves Pugirá Author-X-Name-First: Clara Gonçalves Author-X-Name-Last: Pugirá Author-Name: Rogerio Souza Murari Author-X-Name-First: Rogerio Souza Author-X-Name-Last: Murari Title: A scoping review for churn prediction: step-by-step tutorial and reproducible R code Abstract: This paper analyses the state of the art regarding churn prediction using machine learning (ML) algorithms, which have been published in the Scopus and Web of Science databases. We performed a step-by-step scoping review to show the relationship between ML and churn prediction. To provide insights on how to publish papers, we used a citation prediction negative binomial (NB) regression, and the bibliometric results can be useful for both beginners and experienced researchers. Telecommunications is the most important context for ML use in churn prediction, followed by banks, Saas, retail, and others. The most common approach is to quantitatively test many ML algorithms and their performance indexes, followed by ensembles and neural networks. This literature does not focus on traditional hypothesis tests or scales/constructs development. From the intersection of the foundations of ML and churn prediction, we provide objective trends for future studies. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 160-178 Issue: 2 Volume: 9 Year: 2024 Keywords: bibliometric; scoping review; churn; machine learning; ML. File-URL: http://www.inderscience.com/link.php?id=137643 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:2:p:160-178 Template-Type: ReDIF-Article 1.0 Author-Name: Arshi Author-X-Name-First: Author-X-Name-Last: Arshi Author-Name: Vaishali Author-X-Name-First: Author-X-Name-Last: Vaishali Title: Assessment of financial performance post mergers and acquisitions: evidence from the Indian banking sector Abstract: Banks frequently pursue consolidating banks through mergers and acquisitions as they are remarkable for strategic alliances and achieving competencies for banks seeking domestic and international exposure. By using a wide range of financial criteria, this study aims to ascertain whether M&A affects the financial performance of groups of recently consolidated Indian banks. The research period is from 2016 to 2022, and public-sector bank merger deals are considered. To benefit from economies of scale and synergies and to maintain market leadership, large mergers are closely monitored by all stakeholders, including customers, employees, and investors. These mergers are carried out specifically to strengthen the economy by boosting liquidity, dropping the issue of non-performing assets, and reducing risk. An attempt is made by using exploratory research design and various statistical tools, such as paired t-tests, to investigate the impact of big public-sector bank mergers and acquisitions. Conclusively, there has been no such change in the financial results of a few Indian banks following mergers and acquisitions. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 408-422 Issue: 4 Volume: 9 Year: 2024 Keywords: financial performance; mergers and acquisitions; M%A; consolidation; return on assets; ROA; return on equity; ROE. File-URL: http://www.inderscience.com/link.php?id=141740 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:408-422 Template-Type: ReDIF-Article 1.0 Author-Name: Pallavi Kishore Author-X-Name-First: Pallavi Author-X-Name-Last: Kishore Title: Unravelling the determinants of FDI in the GCC: a multifaceted analysis of economic, regulatory, and institutional factors Abstract: The remarkable surge of foreign direct investment (FDI) in the non-oil sectors of the Gulf countries over the past decade signifies a pivotal shift in their economic landscape. This surge has been driven by the urgent need to diversify these economies and ensure sustainable growth, given the challenges posed by depleting oil resources and volatile prices. In response to this imperative, there arises a critical need to investigate and comprehend the 'other' factors that exert influence over FDI inflows in the region. To address this knowledge gap, a comprehensive study was conducted, employing advanced panel data techniques and analysing data from the six Gulf Cooperation Council (GCC) countries. Notably, market size, infrastructure development, trade openness, inflation levels, and political stability emerged as crucial factors driving FDI. Conversely, the study did not find a significant association between FDI inflows and the variables of risk and competition. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 423-433 Issue: 4 Volume: 9 Year: 2024 Keywords: Gulf Cooperation Council; GCC; non-oil determinants; foreign direct investment; FDI; panel data; ordinary least square; OLS; random effects. File-URL: http://www.inderscience.com/link.php?id=141741 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:423-433 Template-Type: ReDIF-Article 1.0 Author-Name: Baranidharan Subburayan Author-X-Name-First: Baranidharan Author-X-Name-Last: Subburayan Title: A study on India: the dynamic brunt of macroeconomic variables on movement of exchange rate Abstract: This study's goal is to examine the dynamic behaviour of macroeconomic factors brunt on exchange rate movement in India over the period from May 2010 to August 2022. The study employed STATA software and econometric techniques including robust regression, GLS, and ARIMA model and the secondary data collected from RBI official website. The study's revealed that M3BM, IIP, and WIP had negative effects on the exchange rate, CMR and CP had favourable effects. Insignificant findings obtained for the TB, gold prices, NETFII, imported oil, TB91Days, and exchange rate (EXR). The study concluded that the exchanges rate movements were auto-regressed and brunt of economic fundaments was not effective expect, CMR and CP. The study offers regulators and policymakers the opportunity to create macroeconomic plans like INR as a trade exchange currency and for financial analysts and investors, as it helps them understand the interdependence of the macroeconomic variables and the exchange rate and thereby make informed investment decisions. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 133-159 Issue: 2 Volume: 9 Year: 2024 Keywords: exchange rate; macroeconomic variables; money supply; call money rate; wholesale price index; treasury bill; ARIMA model. File-URL: http://www.inderscience.com/link.php?id=137646 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:2:p:133-159 Template-Type: ReDIF-Article 1.0 Author-Name: R.K. Srivastava Author-X-Name-First: R.K. Author-X-Name-Last: Srivastava Title: Would a comparative study of dialogue-based brand placement in film and television be helpful in determining a successful strategy? Abstract: Marketers struggle to choose between film and television due to the effectiveness of brand placements via dialogue in brand communication. Therefore, the purpose of the study is to compare the impact of brand placement on purchase intentions, brand recall, and attitude towards brands in the spoken language of prominent characters in television shows and films. It is primary research. A Google Form is used for the survey based on the study. Participants in the study totalled 469. When brands are equally prominently featured in both television and film conversations, brand placement in the latter is comparatively more effective in terms of brand recall and purchase intention than in the former. A comparison of brand placement in two media and their relative effectiveness is used in this research to provide insight into selecting the right media for brand marketing. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 450-468 Issue: 4 Volume: 9 Year: 2024 Keywords: brand placement; brand promotion; purchase intentions; brand recall; brand attitude; congruity theory; emotional-rational-risk model. File-URL: http://www.inderscience.com/link.php?id=141742 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:450-468 Template-Type: ReDIF-Article 1.0 Author-Name: Basaria Martha Juliana Author-X-Name-First: Basaria Martha Author-X-Name-Last: Juliana Author-Name: Harjanto Prabowo Author-X-Name-First: Harjanto Author-X-Name-Last: Prabowo Author-Name: Mohammad Hamsal Author-X-Name-First: Mohammad Author-X-Name-Last: Hamsal Author-Name: Firdaus Alamsjah Author-X-Name-First: Firdaus Author-X-Name-Last: Alamsjah Title: The impact of digital adoption and adaptive leadership on organisational resilience: a case study of Indonesian banks Abstract: The Indonesian banking industry is susceptible to challenges when confronted with industry-related changes, particularly technological and consumer preference shifts. Consequently, it is imperative for Indonesian banks to learn how to reconfigure, adapt, and strategise their dynamic capabilities in order to overcome external environmental turbulences and attain organisational resilience. Taking into account the close relationship between modern society and technology, leaders must also consider how banks can navigate the digital domain, including the use of digital adoption. This study seeks to examine the impact of digital adoption and adaptive leadership on organisational resilience in the Indonesian banking industry, as moderated by environmental turbulence. The methodology is a quantitative cross-sectional method with SEM PLS applied to a sample of 75 respondents representing the four tier 1 capital-based classifications of Indonesian banks. The results indicate that digital adoption and adaptive leadership have a positive and statistically significant effect on organisational resilience. However, it was discovered that environmental turbulence has no effect on the relationship between digital adoption and adaptive leadership in the Indonesian banking sector's overall organisational resilience. This result contradicts previous research that examined the moderating effect of environmental turbulence. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 434-449 Issue: 4 Volume: 9 Year: 2024 Keywords: digital adoption; adaptive leadership; environmental turbulence; organisational resilience; banking; bank; COVID-19; Indonesia. File-URL: http://www.inderscience.com/link.php?id=141743 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:434-449 Template-Type: ReDIF-Article 1.0 Author-Name: David Karl Author-X-Name-First: David Author-X-Name-Last: Karl Title: Evaluating advanced product return forecasting algorithms - a (meta-)review integrating consumer returns research Abstract: While e-commerce has recently experienced substantial growth rates, retailers face increasing consumer returns. Machine learning techniques opened up opportunities for improved consumer returns forecasting. In the past, returns forecasting was analysed predominantly from a broader reverse logistics and closed-loop supply chain perspective. This paper extends this view by reviewing the state of research on current algorithms for forecasting returns in e-commerce in particular and integrating it into the body of knowledge regarding forecasting product returns extracted from previous reviews. Methodologically, four reviews were synthesised first. Subsequently, a systematic literature review was conducted, analysing 28 additional publications related to consumer returns and enriching the literature on product returns. Thus, this comprehensive review is the first to analyse current forecasting issues while integrating the e-commerce perspective and emphasising relevant developments regarding advanced algorithms and metrics for their assessment in returns forecasting. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 213-241 Issue: 2 Volume: 9 Year: 2024 Keywords: forecasting; product returns; consumer returns; literature review; performance indicators; machine learning; evaluation. File-URL: http://www.inderscience.com/link.php?id=137648 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:2:p:213-241 Template-Type: ReDIF-Article 1.0 Author-Name: Walter Araújo de Lima Filho Author-X-Name-First: Walter Araújo de Lima Author-X-Name-Last: Filho Author-Name: Natallya de Almeida Levino Author-X-Name-First: Natallya de Almeida Author-X-Name-Last: Levino 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 Title: Human behaviour: gender decisions based on behavioural theories Abstract: Efficient techniques and marketing intelligence are deemed crucial for successful business forecasting. Predicting human behaviour, especially in decision-making, has been identified as a significant challenge for companies. In this study, the financial decision-making behaviours of individuals in a specific Brazilian region were examined, focusing on gender differences during the COVID-19 pandemic. Through a quantitative approach, a questionnaire was administered to a sample of 323 participants. Descriptive statistics, factor analysis, and hypothesis testing were employed for data analysis. Findings revealed significant gender differences in decision-making criteria based on reasoned action and planned behaviour theories. A clear disparity was observed in how different genders altered their financial perceptions concerning the tested hypotheses. This research highlights the role of gender as a moderating factor in decision-making. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 469-491 Issue: 4 Volume: 9 Year: 2024 Keywords: human behaviour; marketing intelligence; forecasting business: behavioural finance; decision making; gender. File-URL: http://www.inderscience.com/link.php?id=141744 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:4:p:469-491 Template-Type: ReDIF-Article 1.0 Author-Name: Saurabh Verma Author-X-Name-First: Saurabh Author-X-Name-Last: Verma Author-Name: Mamta Gupta Author-X-Name-First: Mamta Author-X-Name-Last: Gupta Author-Name: Anandita Biswas Author-X-Name-First: Anandita Author-X-Name-Last: Biswas Title: The antecedents of rural customers' satisfaction and loyalty regarding mobile banking services during the COVID-19 pandemic in India Abstract: The COVID-19 pandemic has impacted many industries and altered their whole environments, and the financial sector is no exception. The main aim of the present study is to analyse the application-related factors affecting consumer satisfaction regarding YONO SBI among the rural consumers of Silchar (Assam), India during the COVID-19 pandemic. Further, the study explored the relationship between consumer satisfaction and loyalty regarding YONO SBI among the rural consumers of Silchar (Assam), India, through covariance-based structural equation modelling. The sample consists of the users of YONO SBI during the COVID-19 pandemic. The results of the present study indicate that certain factors affect consumer satisfaction such as perceived ease of use and perceived anxiety. The study provides valuable suggestions and recommendations for banking institutions to develop new policies and needful changes in their application services to enhance customer satisfaction. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 197-212 Issue: 2 Volume: 9 Year: 2024 Keywords: mobile banking application; innovation; consumer satisfaction; consumer loyalty; YONO SBI; India. File-URL: http://www.inderscience.com/link.php?id=137649 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:2:p:197-212 Template-Type: ReDIF-Article 1.0 Author-Name: Sheenam Lohan Author-X-Name-First: Sheenam Author-X-Name-Last: Lohan Author-Name: Arpit Sidhu Author-X-Name-First: Arpit Author-X-Name-Last: Sidhu Author-Name: Shubham Kakran Author-X-Name-First: Shubham Author-X-Name-Last: Kakran Title: The impact of investor's attention on global stock market: statistical review of literature Abstract: The present article aims to organise the current status of research on investors' attention and the global stock market return, through a literature review analysis. The present study also aims to classify prior literature into several undertaken categories. To evaluate prior research, 120 research papers were selected. This article examines the link between investor attention and the global stock market, as well as the impact of investor attention on global stock market returns. The amount of work has increased from 2011 to 2022 eventually attracting a lot of attention since then. According to the findings of previous studies, there is a link between investor attention and stock market results, and investor attention has an adverse impact on global stock returns, except in a few cases when it has a favourable impact. Most studies were done in the USA and China. Researchers and other interested parties will benefit from this study. Journal: Int. J. of Business Forecasting and Marketing Intelligence Pages: 179-196 Issue: 2 Volume: 9 Year: 2024 Keywords: investor's attention; stock market return; global stock market; literature review. File-URL: http://www.inderscience.com/link.php?id=137651 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijbfmi:v:9:y:2024:i:2:p:179-196