GIS Lite: Simple and Free Mapping Resources for Spatial Scholarship

This session will be a hands-on overview of the various tools related to mapping and spatial scholarship that are available. We will examine sites and programs such as ArcGIS Online, Google Earth, Google Map Maker, batchgeo and GeoCommons, and explore how to add data and scanned maps to create your own interactive maps

Gamification: Explaining Brand Loyalty in Mobile Applications

Gamification is one specific way to increase mobile app users’ brand loyalty. We propose that the frequency with which one uses immersion-, achievement- and social-related features relates to brand loyalty. To provide empirical evidence for this proposal, we obtained quantitative data from surveying 243 users on the mobile application Duolingo and conducted a fuzzy-set qualitative comparative analysis (fsQCA). We found that users need to frequently use immersion- and achievement-related features to result in high brand loyalty. On the contrary, we found users who infrequently use at least two gamification features have low brand loyalty. These findings extend the gamification literature by revealing an interaction between multiple gamification features and extend mobile application research by showing how gamification features relate to high and low brand loyalty. We also guide practitioners on how to identify users at risk to discontinue and reduce customer churn

Exploring the Impact of Influencer Marketing on Purchase Intention

Using influencer marketing, Fashion Nova developed from a startup to a global player in the fashion industry. Let by examples like this, recently many companies decided to invest in influencers endorsing their products to uplift their sales. Yet, little is known about how influencer marketing evokes purchase behavior among individuals. To answer this question, we want to conduct an interview-based study and a configurational approach, identifying factors and configurations of factors influencing individuals’ purchase behavior in response to influencer marketing. Theoretically, we base on the elaboration likelihood model (ELM) and adapt it to the context of influencer marketing. Thereby, we expect to contribute to theory by building a contextualized ELM for influencer marketing and identifying factors resulting in purchase behavior. Further, we expect to identify configurations of factors resulting in purchase behavior, which explain how the elaboration of influencer marketing influences purchase behavior, which can be used by firms

Financial Incentives: Only One Piece of the Workplace Wellness Puzzle; Comment on “Corporate Wellness Programs: Implementation Challenges in the Modern American Workplace”

In this commentary, we argue that financial incentives are only one of many key components that employers should consider when designing and implementing a workplace wellness program. Strategies such as social encouragement and providing token rewards may also be effective in improving awareness and engagement. Should employers choose to utilize financial incentives, they should tailor them to the goals for the program as well as the targeted behaviors and health outcomes

The Curse of Wealth – Middle Eastern Countries Need to Address the Rapidly Rising Burden of Diabetes

The energy boom of the last decade has led to rapidly increasing wealth in the Middle East, particularly in the oil and gas-rich Gulf Cooperation Council (GCC) countries. This exceptional growth in prosperity has brought with it rapid changes in lifestyles that have resulted in a significant rise in chronic disease. In particular the number of people diagnosed with diabetes has increased dramatically and health system capacity has not kept pace. In this article, we summarize the current literature to illustrate the magnitude of the problem, its causes and its impact on health and point to options how to address it

Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress

The purpose of the current study is to reveal personality profiles that predispose to the experience of techno-stressors within an organizational setting. These insights are useful because techno-stressors lead to considerable costs and adverse health effects. We use the theoretical lens of the transaction-based model of stress to study the effect of the Big Five personality traits on techno-stressors. We distributed a self-rating questionnaire among 221 individuals and analyzed data using fuzzy set Qualitative Comparison Analysis. The results reveal that six different personality profiles lead to the experience of techno-stressors. The study contributes to research by revealing that personality traits need to be investigated in profiles when studying their role in technostress and that different profiles of the Big Five predispose to techno-stressors. The results are useful for practitioners as they allow the prevention of techno-stressors and negative consequences by detecting users who are at risk at an early stage

WHY DO INDIVIDUALS AVOID SOCIAL MEDIA ADVERTIS-ING: A QUALITATIVE COMPARISON ANALYSIS STUDY

Companies spend billions of dollars in social media advertising, yet some social media users actively avoid social media advertising for instance by scrolling over ads. To understand that, this research builds upon the advertising avoidance model and applies a qualitative comparison analysis (QCA) to identify configurations of perceptions of avoidance. We reveal disruption, distraction, excessiveness and lack of incentive as perceptions that are necessary — yet not sufficient for evoking the avoidance of social media advertising. Furthermore, we reveal three distinct configurations of perceptions that are sufficient and lead to avoidance of social media advertising. This research contributes by uncovering the influence of configurations on social media advertising avoidance and companies can use these findings to reduce the effect of social media users actively avoiding social media advertising

Which Combinations of Techno-Stressors Harm Users and Organizations: A Qualitative Comparative Analysis

The purpose of the current study is to examine which combinations of techno-stressors lead users to be burned out or perform low due to their stressful use of information systems. Therefore, we take a configurational approach and investigate configurations of techno-stressors for job burnout and low job performance. We conduct a two-wave study, survey 166 employees and analyze the data by using fuzzy set qualitative comparative analysis (fsQCA). The results reveal four configurations leading to job burnout and one configuration leading to low job performance. The study contributes to technostress research by showing that techno-stressors need to be studied in configurations, by highlighting that job burnout and low job performance are caused by different configurations and by revealing that high as well as low levels of a techno-stressor can initiate the adverse reactions of users

Quality Indicators for International Benchmarking of Mental Health Care

Objective. To identify quality measures for international benchmarking of mental health care that assess important processes and outcomes of care, are scientifically sound, and are feasible to construct from preexisting data. Design. An international expert panel employed a consensus development process to select important, sound, and feasible measures based on a framework that balances these priorities with the additional goal of assessing the breadth of mental health care across key dimensions. Participants. Six countries and one international organization nominated seven panelists consisting of mental health administrators, clinicians, and services researchers with expertise in quality of care, epidemiology, public health, and public policy. Measures. Measures with a final median score of at least 7.0 for both importance and soundness, and data availability rated as ‘possible’ or better in at least half of participating countries, were included in the final set. Measures with median scores ≤3.0 or data availability rated as ‘unlikely’ were excluded. Measures with intermediate scores were subject to further discussion by the panel, leading to their adoption or rejection on a case-by-case basis. Results. From an initial set of 134 candidate measures, the panel identified 12 measures that achieved moderate to high scores on desired attributes. Conclusions. Although limited, the proposed measure set provides a starting point for international benchmarking of mental health care. It addresses known quality problems and achieves some breadth across diverse dimensions of mental health care