Information Technology & People: Volume 37 Issue 2

The role of patient engagement in patient-centric health information exchange (HIE) initiatives: an empirical study in the United States

Pouyan Esmaeilzadeh, Spurthy Dharanikota, Tala Mirzaei

Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients…

The influence of membership fluidity on the coevolution of the social and knowledge systems in online knowledge communities

Jiangnan Qiu, Wenjing Gu, Zhongming Ma, Yue You, Chengjie Cai, Meihui Zhang

In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and…

Excessive technology use in the post-pandemic context: how work connectivity behavior increases procrastination at work

Siqin Yao, Jintao Lu, Hanying Wang, Joel John Wark Montgomery, Tomasz Gorny, Chidiebere Ogbonnaya

Using role stress theory, this study examines how work connectivity behavior (WCB) blurs the lines between employees' work and personal lives, thereby encouraging procrastination…

Setting goal difficulty in monetary incentives to physicians: evidence from an online health knowledge-sharing platform

Yuanyuan Dang, Shanshan Guo, Haochen Song, Yi Li

Prior studies on the impact of incentives on physicians’ online participation mainly focused on different incentives while ignoring the difficulty of setting monetary incentives…

Mobile health community loyalty development process in China: an empirical study from information seeking perspective

Xuejie Yang, Dongxiao Gu, Honglei Li, Changyong Liang, Hemant K. Jain, Peipei Li

This study aims to investigate the process of developing loyalty in the Chinese mobile health community from the information seeking perspective.

The future of platforms, big data and new forms of capital accumulation

Bhabani Shankar Nayak, Nigel Walton

The paper argues that the classical Marxist theory of capitalist accumulation is inadequate to understand new forms of capitalism and their accumulation processes determined by…

Digging deeper into responsibility: an investigation of responses to online help-request marketing campaigns in social networking groups

Zhongtao Hu

There is a growing trend among online merchants to conduct help-request marketing campaigns (HMCs), which refers to a kind of marketing campaign that leverages participants'…

Local social network structure and promotion effectiveness in social commerce

Huasi Xu, Yidi Liu, Bingqing Song, Xueyan Yin, Xin Li

Drawing on social network and information diffusion theories, the authors study the impact of the structural characteristics of a seller’s local social network on her promotion…

Understanding civil servants' intentions to open data: factors influencing behavior to disclose data

Fernando Kleiman, Sylvia J.T. Jansen, Sebastiaan Meijer, Marijn Janssen

The opening of government data is high on the policy agenda of governments worldwide. However, data release faces barriers due to limited support of civil servants, whereas the…

Effects of social media empowerment on COVID-19 preventive behaviors in China

Jiandong Lu, Xiaolei Wang, Liguo Fei, Guo Chen, Yuqiang Feng

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational…

I do not want to be perfect: investigating generation Z students' personal brands on social media for job seeking

Nguyen M Trang, Brad McKenna, Wenjie Cai, Alastair Maclean Morrison

This research aims to explore generation (Gen) Z's personal branding on social media when job seeking.

Establishing ties or strengthening friendships? Students' use of online social networks in intercultural friendship development

Baohua Yu, Yick Wah Leung

This study was conducted to achieve the following objectives: (1) determine the differences and reasons for using outgroup OSNs by gender, age and student groups (Mainland and…

Achieving software development agility: different roles of team, methodological and process factors

Shekhar Rathor, Weidong Xia, Dinesh Batra

Agile principles have been widely used in software development team practice since the creation of the Agile Manifesto. Studies have examined variables related to agile principles…

How does business analytics contribute to organisational performance and business value? A resource-based view

Sheshadri Chatterjee, Nripendra P. Rana, Yogesh K. Dwivedi

The purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving…

Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches

Efpraxia D. Zamani, Anastasia Griva, Konstantina Spanaki, Paidi O'Raghallaigh, David Sammon

The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus…

Understanding digitally enabled complex networks: a plural granulation based hybrid community detection approach

Samrat Gupta, Swanand Deodhar

Communities representing groups of agents with similar interests or functions are one of the essential features of complex networks. Finding communities in real-world networks is…

What citizens experience and how omni-channel could help–insights from a building permit case

Birgit Schenk, Mateusz Dolata, Christiane Schwabe, Gerhard Schwabe

By increasing the digitalization of commercial services citizens' expect more from public services. First of all, this study will strive to identify which problems citizens…

A deep-learning-based image forgery detection framework for controlling the spread of misinformation

Ambica Ghai, Pradeep Kumar, Samrat Gupta

Web users rely heavily on online content make decisions without assessing the veracity of the content. The online content comprising text, image, video or audio may be tampered…

Privacy-preserving AI-enabled video surveillance for social distancing: responsible design and deployment for public spaces

Nehemia Sugianto, Dian Tjondronegoro, Rosemary Stockdale, Elizabeth Irenne Yuwono

The paper proposes a privacy-preserving artificial intelligence-enabled video surveillance technology to monitor social distancing in public spaces.