Looking Beyond the Pointing Finger: Ensuring the Success of the Scholarly Capital Model in the Contemporary Academic Environment

The currently predominant method of counting articles in ranked venues (CARV) to assess one’s academic achievements has had a deleterious impact on the state of the IS field, which points to a need for a paradigm shift. In this rejoinder to Cuellar, Truex, and Takeda’s (2019) article, I extend the scholarly capital model that they propose and comment on its applicability, adoption, and potential misuse. I propose that the model would benefit if it included a new component – practical capital, which comprises three dimensions: knowledge outreach (a scholar’s direct contribution to professional forums), knowledge impact (a scholar’s indirect contribution to professional forums), and community engagement (a scholar’s connections with the non-academic sector). I strongly recommend that the Association for Information Systems accept a formal stewardship role and facilitate further development, testing, and promotion of the scholarly capital model

User Perceptions and Employment of Interface Agents for Email Notification: An Inductive Approach

This study investigates user perceptions and employment of interface agents for email notification to answer three research questions pertaining to user demographics, typical usage, and perceptions of this technology. A survey instrument was administered to 75 email interface agent users. Current email interface agent users are predominantly male, well-educated and well-off innovative individuals who are occupied in the IS/IT sector, utilize email heavily and reside in an Englishspeaking country. They use agents to announce incoming messages and calendar reminders. The key factors why they like to use agents are perceived usefulness, enjoyment, ease of use, attractiveness, social image, an agent’s reliability and personalization. The major factors why they dislike doing so are perceived intrusiveness of an agent, agent-system interference and incompatibility. Users envision an ‘ideal email notification agent’ as a highly intelligent application delivering messages in a non-intrusive yet persistent manner. A model of agent acceptance and use is suggested

The Development of an AI Journal Ranking List Based on the Revealed Preference Approach

This study presents a ranking of 179 academic journals in the field of artificial intelligence. For this, the revealed preference approach, also referred to as a citation impact method, was utilized to collect data from Google Scholar. The ranking list was developed based on three relatively novel indices: h-index, g-index, and hc-index. These indices correlated perfectly with one another, and they correlated very strongly with Thomson`s Journal Impact Factors. The presented list may be utilized by scholars who want to demonstrate their research output, various academic committees, librarians and administrators who are not familiar with the AI research domain

The Use of Interface Agents for eMail in Critical Incidents

This study reports on several typical scenarios of the use of email interface agents under the influence of critical incidents. The critical incident technique was employed to survey the actual users of an interface agent-based email notification application. Respondents were asked to provide the last most significant either positive or negative incident of the usage of interface agents in their email application, and sixty critical incidents were obtained. With regards to positive-outcome situations, one representative scenario was constructed. With respect to the negative-outcome events, three distinct scenarios were identified. Overall, it is concluded that users acknowledge the quality of an agent when it acts reliably, marketers should advertise only realistic agent capabilities, an agent’s intrusive behavior results in an immediate agent usage termination, operability issues sometimes force people to reject the technology, and users attempt to preserve the employment of an agent under the negative impacts of external factors

Integrating Technology Addiction and Use: An Empirical Investigation of Facebook Users

The purpose of this study was to conceptually replicate the model proposed by Turel, Serenko, and Giles (2011) in the new context of social networking websites. For this, the original instrument was adapted, data from 186 social networking website users were collected, and the model was analyzed by means of Partial Least Squares (PLS). The results supported the ideas advanced in the original study and show that addiction distorts user perceptions of usefulness and enjoyment attributed to the system, which in turn, influence behavioral usage intentions. In contrast to study 2 in the original paper, and in line with study 1 in the original paper, no relationship between addiction and perceived ease of use was observed. Comparing central tendencies across studies, it seems that users of social networking websites are more likely to exhibit technology addiction symptoms than users of online auction websites. The results ultimately imply that context matters in technology addiction research since it can alter some aspects of the measurement model, nomological network, and construct means