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As researchers are being called to examine the evolving technology research issues for COVID-19 and other pandemics, remote work has been accelerated and represents the future of work. Although it is known that one of the top forces shaping the future of work is changing employee expectations, the knowledge of remote work during a pandemic remains scant. Thus, this paper aims to determine the impact of remote worker’s expectations on their level of satisfaction and intention to continue to work remotely.

Using one of the prominent theories on expectations, Expectation Disconfirmation Theory (EDT), the authors conduct an online survey of 146 individuals who are currently working remotely.

By applying EDT, the findings demonstrate that an individual’s expectations regarding remote work impact their level of satisfaction with remote work and intention to continue to work remotely. Incorporating extant research, the findings extend the research stream to indicate that employees’ expectations about remote work significantly impact both their level of satisfaction and level of productivity.

The discussion elucidates the significance of understanding employee expectations regarding remote work in the evolving new normal. The findings from the study demonstrate the importance of an individual’s expectations regarding remote work on their level of satisfaction with remote work and intention to continue to work remotely. Thus, this study fills a gap in the literature by applying EDT to the remote work context.

The authors’ contribution to the literature involves using expectation disconfirmation theory (EDT) to examine the impact of expectations on outsourcing success. This study hypothesizes that perceptions of outsourcing success are contingent on disconfirmation between clients’ expectations and the perceived performance of fundamental issues related to the outsourcing relationship.

To test the hypothesis, this study surveyed chief information officers, vice presidents and senior information systems managers to determine their perceptions of vendors. This study analyzed the data using structural equation modeling.

The findings demonstrate that the existing outsourcing success factors are more precisely depicted as multidimensional success factors that predict managerial perceptions of outsourcing success. This study uses a novel perspective to identify the multidimensional nature of the outsourcing success factors that might have remained latent without further analysis.

Using EDT, this study extends the understanding of outsourcing success as not merely composed of unidimensional factors but as a collection of multidimensional outsourcing success factors. This research demonstrates that not only do these success factors predict outsourcing success, but they can also be grouped together to provide a diversified, yet parsimonious view of how expectations relating to certain success factors influence a client’s perception of outsourcing success.

Considering the growing prominence of millennials in the workforce, the current work explores the idea of cool employers as perceived, particularly by millennials.

Utilizing a mixed methods approach, the authors explore the polar concepts of cool and uncool potential employing organizations through a two-phase study that examined millennial's and nonmillennials’ perceptions of the components that constitute a cool or uncool organization to work.

The findings of the study indicate a difference between millennial and nonmillennial perceptions regarding the characteristics of a cool or uncool employing organization. Additionally, the authors discuss the dimensions of the cool and uncool organization concepts as perceived by millennials in the context of pertinent organizational theory.

Based upon the tenets of attraction–selection–attrition (ASA) theory and social identity theories, an organizational coolness concept is developed.

An organization’s competitive advantage can be strengthened if they are able to identify highly creative individuals. In fact, organizational success in the 21st century may depend upon a firm’s ability to identify highly creative individuals who are able to develop novel and useful ideas, which are the outcome of creativity. The authors posit that Information Technology (IT) plays a significant role in creativity.

Applying the componential view of creativity, the authors propose the theoretically-derived concept of Individual IT Creativity (IITC). Utilizing a 5-phase methodology, the authors provide a theoretically-derived and rigorously-validated measure of IITC.

This study demonstrates that IITC is manifested in individuals who (1) possess IT expertise; (2) are motivated by IT tasks and (3) exhibit IT creativity-relevant processes. The authors then develop a scale to measure IITC and examine IITC within a broader nomological network.

This study facilitates the investigation of new streams of research into IITC, including new possible outcomes in addition to IT acceptance.

The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.

The purpose of this paper is to determine whether the application of the minimalist approach is appropriate in distance learning (DL).

A survey of faculty who have participated in DL training courses at a university in the southeastern USA was conducted. In total, 72 faculty completed the survey, for a response rate of 34 percent.

Survey research findings demonstrate support for the suitableness of a minimalist approach to DL, as results indicate that faculty members do not need more training or more technology. In fact, results suggest there may be an excess of technological options, many of which are not being utilized.

In order to apply a minimalist approach to DL and in consideration of the survey results, the authors posit that fewer technologies should be used, the training required to teach an online course should be applied and simplified, and the technologies implemented in a DL course should be uncomplicated

Drawing from the literature on the minimalist approach to resourcefulness, a new lens with which to consider DL is presented. There have been few applications of minimalism within the IS literature. The minimalist approach presented herein is fitting given the budget reductions that have impacted higher education since the recession.

The purpose of this paper is to investigate and quantify the effects of personality traits, as defined by the five-factor model (FFM) on an individual’s ability to detect fake news. The findings of this study are increasingly important because of the proliferation of social media news stories and the exposure of organizational stakeholders and business decision makers to a tremendous amount of information, including information that is not correct (a.k.a. disinformation).

The data were collected utilizing the snowball sampling methodology. Students in an Management Information Systems course completed the survey. Since a diverse sample was sought, survey participants were instructed to recruit another individual from a different generation. The survey questions of the FFM identify particular personality traits in respondents. Survey respondents were given a collection of nine news stories, five of which were false and four that were true. The number of correctly identified stories was recorded, and the effect of personality traits on the ability of survey respondents to identify fake news was calculated using eta-squared and the effect size index.

Each of the five factors in the FFM demonstrated an effect on an individual’s ability to detect disinformation. In fact, every single variable studied had at least a small effect size index, with one exception: gender, which had basically no effect. Therefore, each variable studied (with the exception of gender) explained a portion of the variability in the number of correctly identified false news stories. Specifically, this quantitative research demonstrates that individuals with the following personality traits are better able to identify disinformation: closed to experience or cautious, introverted, disagreeable or unsympathetic, unconscientious or undirected and emotionally stable.

There is scant research on an individual’s ability to detect false news stories, although some research has been conducted on the ability to detect phishing (a type of social engineering attack to obtain funds or personal information from the person being deceived). The results of this study enable corporations to determine which of their customers, investors and other stakeholders are most likely to be deceived by disinformation. With this information, they can better prepare for and combat the impacts of misinformation on their organization, and thereby avoid the negative financial impacts that result.