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International Journal of Business Intelligence Research
IGI Global, Journal Department
International Journal of Business Intelligence Research

IGI Global, Journal Department

1947-3591

International Journal of Business Intelligence Research/Journal International Journal of Business Intelligence Research
正式出版
收录年代

    Employer Brand Equity and Its Impact on the Application Intent of the Prospective Employees

    Dipali Shrikant Dalvi
    25页
    查看更多>>摘要:Skilled human capital marks organisational success. Attracting, recruiting, and retaining these employees is vital. Companies are applying branding principles to recruitment function. This is termed as employer branding (EB). Identifying a right fit to suit organizational needs is essential. Organizational communication plays a critical role to relate to job seekers of generation-i; they rely on information imparted via various media and decode their perception. In this study, it is evident that for job seekers, corporate websites are important sources of information while deciding their employer. The reviews on job hunting sites aid perception. Use of AI to relate to prospective employees adds competitive edge. This study was conducted to ascertain dimensions of EB and study the application intent of potential employees. It included students from engineering and management and the employees from the job market. The findings allowed comparison of application intent of three groups. Qualification and experience moderates' application intent of prospective employees was evident.

    Online Product Reviews and Their Impact on Third Party Sellers Using Natural Language Processing

    Akash Phaniteja NellutlaManoj HudnurkarSuhas Suresh AmbekarAbhay D. Lidbe...
    22页
    查看更多>>摘要:The purpose of this paper is to gain insights from the online product reviews of e-commerce sites such as Flipkart and Amazon and analyze its impact on third party sellers. To judge the authenticity of a product, reviews are more useful than ratings, since ratings do not give a complete picture. It is always preferred to consider both the product and seller reviews to have a seamless delivery and defect less product. In this paper, natural processing methods are used to gain insights by considering online reviews of a product. Methods such as sentiment analysis, bag of words model help to understand the impact of online product reviews on the seller's ratings and their performance over some time. The reviews are categorized into positive, negative, and neutral using sentiment analysis. Further, topic modeling is done to find out the topic reviews are majorly referring to. The seller reviews for a specific product after analysis are compared with the overall seller reviews to judge the authenticity. The results of this paper would be beneficial to both the consumers and sellers.

    Artificial Intelligence in FinTech: Understanding Stakeholders Perception on Innovation, Disruption, and Transformation in Finance

    Farida S. RasiwalaBindya Kohli
    18页
    查看更多>>摘要:The recent increase of robo-advisory services (RAs) in various financial domains has caused a threatening alarm to the traditional fund and wealth management industry. There has been a remarkable growth in RAs' assets under management (AUM) due to their ability to provide better expected return by being competitive on pricing, transparency, and services. The research paper is designed to explore the various experts in the financial industry (which includes VP and AVPs of investment bank, managers and senior executive at bank, IT professionals and executives, and FinTech entrepreneurs and CEOs) and perceive the digital disruption that is going to affect the traditional financial services industry. Secondly, it is to explore the various strategies that are being adopted by the financial service providers to withstand competition from the disruption caused by FinTech challengers. Moreover, the purpose of this research paper is also to understand the extent and effect of the disruption as well as the strategies adopted by financial industry players to face these disruptions from FinTech.

    A Data Analytics Study for Adverse Reactions of Blood Donors by Age, Gender, and Donation Type

    Muhammed MiahShah J. Miah
    16页
    查看更多>>摘要:The blood donation process is usually very safe, and blood donors are comfortable during the blood donation procedure; however, blood donors occasionally experience various types of adverse reactions during or at the end of blood donation. Some of these reactions are very minor while blood donors sometimes experience serious reactions as well. This study aims to analyze the various types of adverse reactions experienced by the blood donors. The study conducts detailed analysis on a significant amount of real data collected through a blood organization in the southern part of the United States and provides the results regarding the frequency and types of adverse reactions based on multiple attributes such as age, gender, and donation type.

    Cyber Security Solutions for Businesses in Financial Services: Challenges, Opportunities, and the Way Forward

    Shahzeb AkhtarPratima Amol SheoreySonali BhattacharyaAjith Kumar V. V....
    16页
    查看更多>>摘要:This paper examines the challenges that small, medium, and large businesses in the financial services industry are facing concerning data security and providing relevant tools and strategies to protect the same. A qualitative research-based approach has been used where one-on-one interviews were conducted with 10 CIOs (chief information officers) and CISOs (chief information security officers). This data was compared with secondary data sources to validate the findings. This paper presents an in-depth analysis regarding security technologies and their efficacy to protect data assets and sensitive information. It will also opine about the technologies that each business type can use economically to cover the gamut of cyber-attacks. Existing research is restricted to either addressing small and medium businesses (SMBs) or large businesses. This paper attempts a comprehensive review for all sizes of businesses.

    Experiential Retailing Leveraged by Data Analytics

    Manoj HudnurkarSuhas Suresh AmbekarAbhay D. LidbeUrshita Ghosh Dastidar...
    16页
    查看更多>>摘要:The purpose of the study is to establish how in retail industry consumer data can be leveraged and analysed to provide customers an enhance shopping experience. Popular machine learning algorithms related to text mining aids in parsing the natural language and helps to understand the brand image and what the brand currently is lacking. In the last decade, although ecommerce brought a revolution in retail industry, shopping trends show that consumers spend more in offline store than online. The rise of omni-channel retailing and data-driven decision-making are shifting retailer focus to providing enhanced in-store customer experiences. Retailers are trying to find ways to stand out in the highly competitive environment. The solution to this problem is providing retailtainment. This study helps to understand how the available customer data is to be analysed to create unique experiences and enable experience-based stores. The results of this study will help a retail company understand how omnichannel play an important role creating customer engagement strategies.