International Journal of Information Technology and Management最新文献_第6页

Exploring Factors Influencing Adoption of Blockchain in Accounting Applications using Technology–Organization–Environment Framework 利用技术-组织-环境框架探讨区块链在会计应用中采用的影响因素

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1477

Sujata Seshadrinathan, Shalini Chandra

引用次数: 7

FinTech in Information Systems Research: A 2010-2020 Review of the AIS Senior Scholars’ Basket 信息系统研究中的金融科技:2010-2020年AIS高级学者篮子回顾

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1489

Peter Haried, Ye Han, David A. Annino

引用次数: 1

An Analysis of Covid-19 Vaccine Allergic Reactions 新型冠状病毒疫苗过敏反应分析

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1521

Robert Schumaker, Michael A. Veronin, Trevor Rohm, R. Dixit, Shadi A. Aljawarneh, J. Lara

引用次数: 5

A Data Driven Approach to Profile Potential SARS-CoV-2 Drug Interactions Using TylerADE 使用TylerADE分析潜在SARS-CoV-2药物相互作用的数据驱动方法

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1504

Robert P. Schumaker, Michael A. Veronin, Trevor Rohm, M. Boyett, R. Dixit

引用次数: 2

The Design, Development and Validation of a Persuasive Content Generator 有说服力的内容生成器的设计、开发和验证

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1460

Sam Khataei, M. Hine, A. Arya

引用次数: 3

A comparison of artificial neural networks and the statistical methods in predicting MBA student’s academic performance 人工神经网络与统计方法在预测MBA学生学业成绩中的比较

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1485

Ojoung Kwon, Harry Xia, Serin Zhang

{"title":"A comparison of artificial neural networks and the statistical methods in predicting MBA student’s academic performance","authors":"Ojoung Kwon, Harry Xia, Serin Zhang","doi":"10.58729/1941-6679.1485","DOIUrl":"https://doi.org/10.58729/1941-6679.1485","url":null,"abstract":"MBA has become one of the most popular and vital professional degrees internationally. The MBA program admission process’s essential task is to choose the best analysis tools to accurately predict applicants’ academic performance potential based on the evaluation criteria in making admission decisions. Prior research finds that the Graduate Management Admission Test (GMAT) and undergraduate grade point average (UGPA) are common predictors of MBA academic performance indicated by graduate grade point average (GGPA). Using a sample of 250 MBA students enrolled in a state university with AACSB accreditation from Fall 2010 to Fall 2017, we test and compare the effectiveness of artificial neural networks (ANNs) against traditional statistical methods of ordinary least squares (OLS) and logistic regression in MBA academic performance prediction. We find that ANNs generate similar predictive power as OLS regression in predicting the numerical value of GGPA. By dichotomizing GGPA into categorical variables of “successful” and “marginal,” we identify that ANNs offer the most reliable prediction based on total GMAT score and UGPA while logistic regression delivers superior performance based on other combinations of the predictors. Our findings shed light on adopting ANNs to predict academic performance potential with a strong implication in MBA admissions to select qualified applicants in a competitive environment.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"145 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79584778","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 Ant-based Intelligent Design for Future Self-driving Commercial Car Service Strategy 基于蚁群的未来自动驾驶商用车服务策略智能设计

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1422

Jian Lin, Naveed Saleem, Vance Etnyre, G. Gercek, Nanfei Sun

引用次数: 0

The Soft Skills Business Demands of the Chief Information Security Officer 首席信息安全官的软技能业务需求

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1522

R. Smit, Jeroen van Yperen Hagedoorn, P. Versteeg, P. Ravesteijn

引用次数: 1

Exploring the Behavioral Intention to Use Collaborative Commerce: A Case of Uber 探索使用协同商务的行为意向:以Uber为例

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1545

C. C. Lee, Sinéad G. Ruane, Hyoun Sook Lim, Ruoquing Zhang, Heechang Shin

{"title":"Exploring the Behavioral Intention to Use Collaborative Commerce: A Case of Uber","authors":"C. C. Lee, Sinéad G. Ruane, Hyoun Sook Lim, Ruoquing Zhang, Heechang Shin","doi":"10.58729/1941-6679.1545","DOIUrl":"https://doi.org/10.58729/1941-6679.1545","url":null,"abstract":"The goal of our research study is to develop a hybrid instrument built on the revised Unified Theory of Acceptance and Use of Technology (UTAUT2) framework, which is reliable in predicting the behavioral intention to use the Uber ridesharing app. It focuses on extending the UTAUT2 in collaborative consumption, particularly from a consumer and ridesharing-app perspective. Our proposed framework, UTAUT-CC, preserves existing UTAUT2 constructs – performance expectancy, effort expectancy, social expectancy, and facilitating conditions. It also retains demographic moderating variables of age and gender, while maintaining some of the key integral relationships depicted in those models. We integrated three new constructs deemed relevant in linking collaborative consumption and a sharing economy – price, trust, and convenience. We incorporated elements of online and offline services (O2O) together from respective perspectives of mobile technology and ridesharing. Our overall model explained 70.5% of the variance of behavioral intention of Uber. We concluded the paper by exploring actionable implications for practitioners and scholars.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84674755","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: 4

What leads consumers to spread eWOM for Food Ordering Apps? 是什么导致消费者为订餐app传播eWOM ?

International Journal of Information Technology and Management Pub Date : 2021-01-01 DOI: 10.58729/1941-6679.1480

Brinda Sampat, K. C. Sabat

{"title":"What leads consumers to spread eWOM for Food Ordering Apps?","authors":"Brinda Sampat, K. C. Sabat","doi":"10.58729/1941-6679.1480","DOIUrl":"https://doi.org/10.58729/1941-6679.1480","url":null,"abstract":"Restaurants are using innovative ways to engage with consumers using Food Ordering Apps (FOAs). The purpose of this article is to identify the influence of consumers’ eSatisfaction, perceived value, trust, and eLoyalty on eWOM for FOAs in India. The study also verifies if eWOM for FOAs varies based on age, gender, family size, order value, and online shopping experience. The research followed a multi-stage approach. In the first stage, an extensive literature review was conducted to identify the various factors that lead to eWOM. In the second stage, a survey was distributed among the FOA users. 375 responses were obtained. In the third stage, a binary multivariate logistic regression was used to evaluate the predictive power of the proposed research model. The results indicated that eLoyalty, trust, and perceived value were statistically significant in predicting consumers’ intent to spread eWOM for FOAs. eSatisfaction, age, gender, order value, shopping experience, and family size were insignificant in shaping the customer’s intention to spread eWOM for FOAs. The findings of this study can be used to understand the factors that influence users to spread eWOM for FOAs. Managers in food delivery business can use the findings from this study to address the most relevant constructs shaping eWOM as it has an impact on the survival prospects and proﬁtability of the business.","PeriodicalId":55883,"journal":{"name":"International Journal of Information Technology and Management","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76123411","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: 6