https://i-scholar.in/index.php/ijbai/issue/feed International Journal of Business Analytics and Intelligence 2022-09-02T15:07:39+00:00 Tuhin Chattopadhyay publishing@publishingindia.com Open Journal Systems <div id="i-scholarabout">International Journal of Business Analytics and Intelligence (IJBAI) is formed to promote the dissemination of quality research in data science, business analytics and business intelligence. Journal aims to incorporate both the practitioners’ and the academicians’ perspective on business analytics. Thus it serves the dual purpose of fundamental and applied research. Therefore there exists a requirement of a repository of contemporary research and the dissemination of knowledge of analytics.</div> https://i-scholar.in/index.php/ijbai/article/view/213540 Analytically Yours : Information and Dependence 2022-09-02T15:07:39+00:00 Arnab Kumar Laha arnab@iima.ac.in No Abstract. 2022-04-01T00:00:00+00:00 https://i-scholar.in/index.php/ijbai/article/view/213541 Customer Attrition Analytics : The Case of a Recruitment Service Provider 2022-09-02T15:07:39+00:00 Mihir Dash mihirda@rediffmail.com Vishnu Raghavan raghavan.vishnu@gmail.com Customer attrition is the phenomenon wherein a customer leaves a service provider. With the growing competition in the service sector, preventing customer attrition has become critical for sustainability, as it is well established that retaining existing customers is more profitable than acquiring new customers (Jacob, 1994). This gives customer attrition analytics the challenging task of predicting which customers are likely to leave, and of subsequently designing and implementing retention programmes for these customers. Customer analytics has made many strides in marketing, employer desirability, and branding, but has so far made limited strides in the recruitment industry space. The objective of the study is to identify the factors affecting a candidate’s decision to accept a job opportunity in an organisation, using predictors such as the industry verticals, the candidate’s skillsets, workplace location, gender, compensation offered, and the notice period of the candidate. The model developed is a logistic regression model, to determine whether a candidate selected will accept a job opportunity in an organisation or not. The analysis was performed based on a sample of 443 candidates who were provided job offers in the period 2013-2015 by a recruitment service provider. 2022-04-01T00:00:00+00:00 https://i-scholar.in/index.php/ijbai/article/view/213542 A Comparative Analysis of Artificial Intelligence in Marketing and Traditional Marketing 2022-09-02T15:07:39+00:00 K. Sumitha sumipraba05@gmail.com Present trends in business are very vibrant, evolving day by day. Such innovations can be seen in each and every domain of the business. The marketing sector has also not been left untouched. With the change in the approach of communication and integration, conventional marketing has been progressing into non-conventional marketing, through the inculcation of artificial intelligence in marketing. The development of this has led to change in the marketing sector. To study the evolution of AI in marketing, along with the adoption and the perspective of customers towards AI marketing through the medium of this research is a desire. Artificial intelligence (AI) is an essential portion of many sectors, including marketing. The way in which we use data to make important marketing decisions and improve customer experience has been revolutionised by AI. The objective of this study was to determine the future of artificial intelligence in marketing, and to compare artificial intelligence marketing and traditional marketing. This research focused on the comparative study of AI with traditional marketing, its risks, benefits, and its impact on digital marketing and its future. A qualitative research methodology was utilised to address these topics. The theoretical framework discusses the topic of artificial intelligence in marketing, comparing it with traditional marketing. With the incredible progress in AI, machine learning, and deep learning in its subsegments, businesses are reaching new levels of data analytics productivity, which has an impact on the whole sector. For this thesis, the qualitative research method was applied by examining the marketing use of AI, to investigate how AI is changing the digital marketing sector. The objective of this approach was to do a broader and more detailed study of AI in marketing. Based on the findings of this thesis, it can be concluded that AI is going to fundamentally change how marketers do their work, making ads more personalised, predictive, and automated, than it has ever been. It is found that AI is an inevitable part of the future marketing and sales environment. The sooner we get acquainted with AI capabilities, the better. 2022-04-01T00:00:00+00:00 https://i-scholar.in/index.php/ijbai/article/view/213544 A Report on the Application of Drones in Infrastructure Safety 2022-09-02T15:07:39+00:00 Sravan Kumar Boosala sravan_boosala@scmhrd.edu The term ‘drone’ usually refers to any unpiloted aircraft. Sometimes referred to as ‘unmanned aerial vehicles’ (UAVs), these crafts can carry out an impressive range of tasks, ranging from military operations to package delivery. Drones are a valuable addition to any industrial facility’s efforts, as they sanction a limitless aerial perspective. The opportunities for drones to have real worth are endless. A drone is mainly used in the construction industry for surveying and inspection purposes. Drones are equipped with downward-facing sensors, such as RGB, multi spectral, thermal, or LIDAR, and they can capture a great deal of aerial data in a short time. The main objective of drones in infrastructure is mainly in the area of safety. Drone technology makes the job of site inspectors safer, as they can conduct inspections remotely without entering hazardous areas. In addition, drone inspections are faster and cost-effective. The methodology of drone application in infrastructure is that they provide construction teams with an overhead view of job sites, materials, machinery, and people. Contractors are using the autonomous flying machines to record images and videos that help optimise everything, from grading plans and operations to identifying differences between as-designed and as-built site plans. Drones in construction allow contractors a chance to monitor any issue, track progress, and develop better plans on-site by providing an unrivalled view of a site at a fraction of the cost. 2022-04-01T00:00:00+00:00 https://i-scholar.in/index.php/ijbai/article/view/213546 Investigating the Influence of Ethiopian National Culture on Information Security Policy (ISP) Violation : The Case of the Ethiopian Financial Institutions 2022-09-02T15:07:39+00:00 Dakito Alemu Kesto dakito.alemu@aau.edu.et Tilahun Muluneh dalemu22@gmail.com Nowadays, it is clear that information security is one of the most basic issues that organisations need to focus on. Despite huge investments made by companies to keep their information systems safe, there are many information security breaches that infiltrate companies’ systems; consequently, these cost them their reputation, affect customers’ confidence, and bring huge financial losses. Ethiopian companies are not immune to this security problem, and there are many signs of information security breaches. The literature suggests that almost all investments in information security related issues are for technological solutions. However, this type of solutions alone do not work well, and according to some researchers, there is one significant element that has been given very little attention, the human factor. Most of the information security breaches are caused by employees who are legitimate users of the company’s systems. So ‘how can we counter the illegal action of our own employees?’ is the main objective this study tried to address. The findings showed strong evidence on the influence of contextual factors and national culture, on employees’ information security behaviour, and consequently, it highlighted the importance of taking some level of precaution when organisations introduce new policies or standards that are copied from abroad. Policy makers and ISS managers in Ethiopia, particularly at the Information Network Security Agency (INSA), can learn how important it is to modify or adapt their ISP, which was copied from ISO 27002, based on the findings of this study. 2022-04-01T00:00:00+00:00 https://i-scholar.in/index.php/ijbai/article/view/213550 Macroeconomic Stability in India : Vector Error Correction Estimation of the Causal Relationship between Inflation, GDP, Money Supply, Interest Rate, Exchange Rate, and Fiscal Deficit 2022-09-02T15:07:39+00:00 T. Lakshmanasamy tlsamy@yahoo.co.in The significance, nature, and direction of the effect of inflation on economic growth and macroeconomic stability are contentious both in theory and empirical analysis. This paper examines the causal relationship between inflation and macroeconomic variables – interest rate, exchange rate, money supply, GDP, and fiscal deficit – in India, during the period 1986 to 2016, applying the vector correction (VECM) estimation method. The macro variables are stationary at first difference, and a cointegrating and causal relationship exists between the wholesale price index and interest rate, exchange rate, GDP, broad money, and gross fiscal deficit. The VECM estimates reveal that money supply and GDP are the most important macro variables in explaining the variations in inflation. The estimated error correction term shows that the short-run disequilibrium is corrected by about 20% every period towards the long-run equilibrium. The impulse response results show that inflation responds positively to the money supply from the start to the 9<sup>th</sup> period. To promote economic growth and keep inflation low, money supply and budget deficits need to be rationalised. 2022-04-01T00:00:00+00:00