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Business Intelligence Tools for a Digital Services Company in Peru, 2022 秘鲁某数字服务公司的商业智能工具，2022
Int. J. Bus. Intell. Res. Pub Date : 2023-02-16 DOI: 10.4018/ijbir.318330
Gladys Marisol Merino Castro, Higinio Guillermo Wong Aitken, Alicia Alicia Calvanapon
{"title":"Business Intelligence Tools for a Digital Services Company in Peru, 2022","authors":"Gladys Marisol Merino Castro, Higinio Guillermo Wong Aitken, Alicia Alicia Calvanapon","doi":"10.4018/ijbir.318330","DOIUrl":"https://doi.org/10.4018/ijbir.318330","url":null,"abstract":"The objective is to propose the use of the business intelligence tool Microsoft Power BI to contribute to the best decision making in the digital services company; there are deficiencies in the ERP integrator system currently used in the company, impairing decision-making in management and corresponding headquarters. The research is of an applied type, considering as a sample those involved in the operation of the ERP integrator system. The analysis of the ERP integrator and business intelligence Power BI software was used, obtaining as results that the use of ERP integrator stores a large magnitude of data that is not easily understandable, complex reading of reports, and lack of statistical graphs. Business intelligence Power BI was applied as a solution tool, obtaining tables designed with complete and correct data, extraction of tables for their subsequent relationship, and understandable statistical graphics; Power BI allows collaborators greater understanding when reading results.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121005985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Adoption of Big Data Analytics: Determinants and Performances Among Food Industries 采用大数据分析:食品行业的决定因素和表现
Int. J. Bus. Intell. Res. Pub Date : 2023-02-10 DOI: 10.4018/ijbir.317419
C. Ganeshkumar, J. G. Sankar, Arokiaraj David
{"title":"Adoption of Big Data Analytics: Determinants and Performances Among Food Industries","authors":"C. Ganeshkumar, J. G. Sankar, Arokiaraj David","doi":"10.4018/ijbir.317419","DOIUrl":"https://doi.org/10.4018/ijbir.317419","url":null,"abstract":"The study presents the results of the work undertaken to analyse constructs that make the companies adopt big data in the food industry towards the financial and market performance. Data was collected from 300 food industry employees who work in vital roles in the company. Primary data was collected through a survey method and a theoretical model was tested. Technological—Organizational—Enviornmental (TOE) framework was adopted, and the factors were analysed using Smart PLS software. It reveals that trialability, observability, complexity, and top management support are having a greater influence on big data analytics (BDA) adoption. Furthermore, external support, uncertainty and insecurity, and organizational readiness are also identified to affect BDA adoption. The findings ascertain the impact of BDA on the financial performance and marketing performance of the organisations. Understanding the variables that affect BDA acceptability enables managers to take the appropriate steps for a successful deployment. The research aids BDA service providers in luring and spreading BDA in the food sector.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122508994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Genetic Fuzzy System for Modeling Consumer Behavior 消费者行为建模的混合遗传模糊系统
Int. J. Bus. Intell. Res. Pub Date : 2022-01-01 DOI: 10.4018/ijbir.301231
P. Sajja
{"title":"Hybrid Genetic Fuzzy System for Modeling Consumer Behavior","authors":"P. Sajja","doi":"10.4018/ijbir.301231","DOIUrl":"https://doi.org/10.4018/ijbir.301231","url":null,"abstract":"Understanding consumer behavior is beneficial to a business in various aspects such as prediction of manufacturing quantity, new product launch, and aids in lock-in customers and lock-out competitors. The task is highly complex and traditional models do not help in absence of generalized decision making logic. Further such domains handle large amount of data in unstructured format. This article presents an intelligent system for modeling consumer behavior via a hybrid genetic fuzzy system from large source of data. The paper justifies and presents a literature survey with common observations. A four phase generic architecture of genetic fuzzy system presented for the modeling of consumer behavior. Detailed discussion on the architecture is also provided with an experiment. Technical details, fuzzy membership functions used in experiment, encoding strategy, genetic operators, and evaluation of rules using fitness function are also discussed in detail along with results. At end, applications of the research work in other domains are enlisted with possible future enhancements.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128507484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Facial Skincare Journey: Consumer Needs Identification to Enhance Online Marketing 面部护肤之旅:消费者需求识别提升网络营销
Int. J. Bus. Intell. Res. Pub Date : 2022-01-01 DOI: 10.4018/ijbir.297614
Intaka Piriyakul, Shawanluck Kunathikornkit, Montree Piriyakul, R. Piriyakul
{"title":"Facial Skincare Journey: Consumer Needs Identification to Enhance Online Marketing","authors":"Intaka Piriyakul, Shawanluck Kunathikornkit, Montree Piriyakul, R. Piriyakul","doi":"10.4018/ijbir.297614","DOIUrl":"https://doi.org/10.4018/ijbir.297614","url":null,"abstract":"Consumer journey analysis led to efficient marketing implementation. A journey represents a path of steps and interaction between consumer and service units at each touchpoint. Dissatisfaction in the touchpoint, causes a negative effect to retain a customer. Previous studies always constructed the journey maps relied on the narrative approach. According to use Google, consumers always face massive websites to access, which is a pain point in the journey. Improving consumer buying, led to the research aims: identifying consumer needs, and reducing SEO pain-point using content relevance indexing. The data (social media posts from the Thai beauty communities in the year 2020) is analyzed and has found that there are two need types: curative and preventive. The study can segment the 150 websites into four groups which reduce the search space. Moreover, the significant words from the wrapping technique can use to create keywords in the homepage introduction that are matching the products to consumer needs.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127420510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Business Intelligence Adoption and Implementation Risk in SMEs: Insights From an Empirical Study in Tunisia 中小企业商业智能采用与实施风险:来自突尼斯实证研究的见解
Int. J. Bus. Intell. Res. Pub Date : 2022-01-01 DOI: 10.4018/ijbir.305240
Placide Poba-Nzaou, Malatsi Galani, Chaima Aloui
{"title":"Business Intelligence Adoption and Implementation Risk in SMEs: Insights From an Empirical Study in Tunisia","authors":"Placide Poba-Nzaou, Malatsi Galani, Chaima Aloui","doi":"10.4018/ijbir.305240","DOIUrl":"https://doi.org/10.4018/ijbir.305240","url":null,"abstract":"Business Intelligence – BI systems are increasingly accessible to small and medium-sized enterprises (SMEs). Like all Information Systems (IS), their implementation is very risky by nature. Several scholars underscore that IS risk management is more effective when initiated earlier in the system life cycle, as early as at the adoption. The objective of this research is to describe and understand the process of BI adoption in SMEs focusing on the management of implementation risk of from the adoption stage using an interpretive holistic single-case study of a small manufacturing firm in Tunisia in Africa that successfully adopted a BI system. Consistent with previous research, the study shows that in order to manage the implementation risk during the adoption stage, SMEs can proceed in a way that is more efficient for them that is rather intuitive, informal and unstructured, which is, however, explicitly based on an architecture of principles, policies and practices. The main limitation of the study is related to the qualitative single case study design.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128330663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Measuring the Maturity of the Business Intelligence and Analytics Initiative of a Large Norwegian University: The BEVISST Case Study 衡量挪威一所大型大学商业智能和分析计划的成熟度:BEVISST案例研究
Int. J. Bus. Intell. Res. Pub Date : 2021-07-01 DOI: 10.4018/ijbir.297061
Xiaomeng Su, Elsa Cardoso
{"title":"Measuring the Maturity of the Business Intelligence and Analytics Initiative of a Large Norwegian University: The BEVISST Case Study","authors":"Xiaomeng Su, Elsa Cardoso","doi":"10.4018/ijbir.297061","DOIUrl":"https://doi.org/10.4018/ijbir.297061","url":null,"abstract":"Maturity models of Business Intelligence and Analytics (BIA) have been previously used to assess BIA development progress in organizations in many sectors, such as healthcare and business. However, there is a lack of studies reporting up-to-date knowledge on applying maturity assessment in Higher Education Institutions (HEI). It remains unclear precisely to what extent and how HEI employ maturity assessment and the benefits of such exercises. This paper addresses this gap by reporting a case study at a large Norwegian university. A domain-specific maturity model is used as a lens to observe and reflect on the BIA implementation at the Norwegian University of Science and Technology. This paper reports the assessment results and discuss the implications of the maturity assessment. The findings and discussions in the case can cater to a broader audience of BIA practitioners and researchers, contributing to understanding the value and adoption dynamics of BIA in Higher Education.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123270781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Voice Engagement Leading to Business Intelligence: A Systematic Review and Agenda for Future Research 语音参与导致商业智能:系统回顾和未来研究议程
Int. J. Bus. Intell. Res. Pub Date : 2021-07-01 DOI: 10.4018/ijbir.294568
Praveen Kumar Sattarapu, Deepti Wadera, Jaspreet Kaur
{"title":"Voice Engagement Leading to Business Intelligence: A Systematic Review and Agenda for Future Research","authors":"Praveen Kumar Sattarapu, Deepti Wadera, Jaspreet Kaur","doi":"10.4018/ijbir.294568","DOIUrl":"https://doi.org/10.4018/ijbir.294568","url":null,"abstract":"There are multiple studies establishing the importance of Business Intelligence (BI), in the Big Data Analytics context. Voice is yet to be seen as a contributing channel. Voice enabled assistants are at the forefront of conversational AI advancement. As humans speak to devices, brands and business are investing in engagement through voice channel. This voice engagement is resulting in both intangible and tangible benefits and generating voice commerce. The resultant voice data should be integral to BI, leading to Voice BI. This paper proposes a conceptual framework from engagement to intelligence, with support of five propositions to realise voice business intelligence. Type of applications and their engagement characterisation is segregated to create better understanding using Cross-Cases Observation Technique. Along with future research agenda to strengthen the propositions, this investigation observes building voice business intelligence by tracking relevant metrics which enable informed decisions.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133954328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The State of Artificial Intelligence in Marketing With Directions for Future Research 人工智能在市场营销中的现状及未来研究方向
Int. J. Bus. Intell. Res. Pub Date : 2021-07-01 DOI: 10.4018/ijbir.297062
Jing Chen, J. Ablanedo-Rosas, G. Frankwick, Fernando R. Jiménez Arévalo
{"title":"The State of Artificial Intelligence in Marketing With Directions for Future Research","authors":"Jing Chen, J. Ablanedo-Rosas, G. Frankwick, Fernando R. Jiménez Arévalo","doi":"10.4018/ijbir.297062","DOIUrl":"https://doi.org/10.4018/ijbir.297062","url":null,"abstract":"Today, artificial intelligence (AI) is becoming increasingly important in both industry and academics. To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and content analysis to examine the top 10 authors, top 20 most cited articles, and top 11 milestone papers from our 628 articles sample. Bibliometric study identified leading authors, documents, universities, countries, and sources of these articles. By using SNA, we spotted an academic social network of crucial publications. Moreover, we recognized eleven milestone articles that constitute the main knowledge flow in AI marketing through main path analysis. Finally, we discussed future directions based on our findings. Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117269298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Empirical Investigation of Factors Determining Actual Usage of Entertainment Streaming Apps in India 决定印度娱乐流媒体应用实际使用的因素的实证调查
Int. J. Bus. Intell. Res. Pub Date : 2021-07-01 DOI: 10.4018/ijbir.20210701oa02
Vishal Kulshrestha, Kokil Jain, Isha Sharma
{"title":"An Empirical Investigation of Factors Determining Actual Usage of Entertainment Streaming Apps in India","authors":"Vishal Kulshrestha, Kokil Jain, Isha Sharma","doi":"10.4018/ijbir.20210701oa02","DOIUrl":"https://doi.org/10.4018/ijbir.20210701oa02","url":null,"abstract":"Rise of internet and penetration of smartphones have made digital content accessible though Entertainment Streaming Apps (ESA). With the flexibility of time and place, ESA platforms are changing the dynamics of entertainment consumption. The current study explored the determinants of actual usage of ESA using the theory of planned behavior, flow theory and factors affecting entertainment related technology adoption including engagement, content, entertainment value, convenience value and monetary value. Data is collected through an online survey from 215 Indian ESA users and the proposed framework is empirically tested using partial least squares structural equation modeling (PLS-SEM). The findings of the study contribute to the growing body of literature on streaming apps adoption and usage by expanding the understanding of the factors that explain its usage behavior.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115115080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Recommendation System for People Analytics 人分析的推荐系统
Int. J. Bus. Intell. Res. Pub Date : 2021-07-01 DOI: 10.4018/ijbir.20210701oa04
Nan Wang, Evangelos Katsamakas
{"title":"A Recommendation System for People Analytics","authors":"Nan Wang, Evangelos Katsamakas","doi":"10.4018/ijbir.20210701oa04","DOIUrl":"https://doi.org/10.4018/ijbir.20210701oa04","url":null,"abstract":"Companies seek to leverage data and people analytics to maximize the business value of their talent. This article proposes a recommendation system for personalized workload assignment in the context of people analytics. The article describes the system, which follows a novel two-level hybrid architecture. We evaluate the system performance in a series of computational experiments and discuss future extensions. Overall, the proposed system could create significant business value as a decision support system that could help managers make better decisions. The article demonstrates how computational and machine learning approaches can complement humans in improving the performance of organizations.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122045208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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