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Information Systems Research
IF
2.46
Papers
1015
Papers 1018
1 page of 102 pages (1,018 results)
Newest
Xueming Luo35
Estimated H-index: 35
(TU: Temple University),
Xianghua Lu11
Estimated H-index: 11
(Fudan University),
Jing Li (NU: Nanjing University)
The rise of online shopping cart–tracking technologies enables new opportunities for e-commerce cart targeting (ECT). However, practitioners might target shoppers who have short-listed products in ...
Sean W. Hansen10
Estimated H-index: 10
(RIT: Rochester Institute of Technology),
A. James Baroody (RIT: Rochester Institute of Technology)
The U.S. healthcare system has experienced rapid growth in the adoption and use of clinical health information technology, such as electronic health record (EHR) systems. In a field as complex and ...
Poonacha K. Medappa1
Estimated H-index: 1
(HEC Paris),
Shirish C. Srivastava19
Estimated H-index: 19
(HEC Paris)
Does the task work orchestration in free (Libre) and open-source (FLOSS) software projects influence the project’s success? Does satisfying the psychological needs of the contributors effectively s...
Published on May 20, 2016in Social Science Research Network
Dominik Gutt2
Estimated H-index: 2
,
Philipp Herrmann5
Estimated H-index: 5
,
Mohammad Saifur Rahman5
Estimated H-index: 5
Crowdsourced information, such as online ratings, are increasingly viewed as a critical source for understanding local market dynamics. A key aspect of utilizing online ratings to derive competitive market intelligence is to delineate the systematic relationship between local market structure and distributional properties of online ratings. As one of the earliest papers in this stream, combining demographic, population, and restaurant review data from Yelp.com for 372 isolated markets in the U.S...
Published on Jul 19, 2019in Information Systems Research 2.46
Seung Hyun Kim25
Estimated H-index: 25
(Yonsei University),
Juhee Kwon5
Estimated H-index: 5
(CityU: City University of Hong Kong)
Effective use of electronic health records (EHRs) is considered an important step toward the goal of improving the quality of U.S. healthcare, while reducing its costs. However, did EHRs and a mean...
Published on Jul 19, 2019in Information Systems Research 2.46
Cheng Yi4
Estimated H-index: 4
(THU: Tsinghua University),
Zhenhui Jiang11
Estimated H-index: 11
(NUS: National University of Singapore)
+ 1 AuthorsXianghua Lu11
Estimated H-index: 11
(Fudan University)
This research investigates how firms can actively manage consumer-generated reviews in the form of highlighting authentic reviews on review platforms. While highlighting a positive review is expect...
Published on Jul 6, 2017in Information Systems Research 2.46
Sandeep Khurana , Liangfei Qiu6
Estimated H-index: 6
,
Subodha Kumar14
Estimated H-index: 14
Healthcare portals are gaining in popularity, connecting doctors with potential consumers of healthcare services. As online search and transaction marketplaces, they bring both sides of the market ...
Published on May 15, 2018in Information Systems Research 2.46
Yingjie Zhang3
Estimated H-index: 3
(CMU: Carnegie Mellon University),
Yingjie Zhang (UTD: University of Texas at Dallas)+ 1 AuthorsXiaoyi Wang1
Estimated H-index: 1
(ZJU: Zhejiang University)
Low engagement rates and high attrition rates have been formidable challenges to mobile apps and their long-term success. To date, little is known about how companies can scientifically detect user...
Published on Feb 1, 2017in Information Systems Research 2.46
Anuj Kumar5
Estimated H-index: 5
,
Kartik Hosanagar17
Estimated H-index: 17
(UPenn: University of Pennsylvania),
Kartik Hosanagar
Every major e-commerce site recommends related products on a product’s page. According to a McKinsey & Company retail report, 35% of what consumers purchase on Amazon and 75% of what they watch on ...
Published on Jun 24, 2019in Information Systems Research 2.46
Ni Huang (ASU: Arizona State University), Tianshu Sun (SC: University of Southern California)+ 1 AuthorsJoseph M. Golden
Online retailers often face the decision on whether they should implement a word-of-mouth (WOM) system on their websites. Some retailers opt not to have an in-site WOM system (e.g., Tiffany.com and...
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