SESSION: Academic Keynote Address
ICT4D has emerged as an important research area within the IS discipline, with special issues in leading journals. Research on societal problems and a focus on the grand challenges facing the planet is crucial to do research that matters and changes the lives of the poorest people on the planet. In this presentation, against the backdrop of the presenter’s work in rural India, suggested future research directions that call for a paradigm shift will be proposed spanning from human-computer interaction to IS theories.
SESSION: Industry Keynote Address
Healthcare in the United States continues to evolve in its use of information technology. Health Information Exchange (HIE) organizations have been in existence across the country for nearly two decades and we are now beginning to see the benefits of the unique qualities they bring and the value to both the quality of patient care and the cost of care. This keynote address will focus on the evolution of the HIEs to their present state, the benefits and value they create for the various involved stakeholders in the healthcare arena, and further developments we expect to see in this arena as HIEs continue to evolve.
SESSION: Conference Panels
This panel will highlight papers that have received the Best Paper Award at the SIGMIS CPR conference going back to 2000 (with those since 2004 named the “Magid Igbaria Best Paper Award”). We will start the panel with a high-level over-view of papers that received the Best Paper Award – a sum-mary of the topics, research methods, types of organizations or populations studied, and publication outcomes after receiving the Best Paper Award. The main portion of the panel will feature authors describing how they regard conference papers as part of their research portfolio. A key goal of the panel is to elicit authors’ perspectives regarding whether conference papers are end goals themselves, an intermediate outcome that has value to their career only if later published in a journal, or a stepping stone to multiple later options.
The purpose of the Industry-Academia Panel session is to provide attendees with an opportunity to hear the views of a distinguished group of panelists on the theme of the conference, particularly as they relate to the future opportunities and challenges that arise the implementation and use of information technologies by various stakeholders in the various facets of the healthcare landscape.
SESSION: Paper Session 1.1: IT enabled Transformations in Healthcare
Patient Preferences for Authentication and Security: A Comparison Study of Younger and Older Patients
We examine authentication and security preferences of younger versus older patients in the healthcare domain. Previous research has investigated users’ perception of the acceptability of various forms of authentication in non-healthcare domains, but not patients’ preferences. First, we developed an interactive prototype to test three authentication methods: passwords, pattern, and voice. Our results indicate that younger patients prefer passwords by a significant margin. Older patients indicated more mixed preferences. In addition, we evaluated the level of security patients desired for protection of health information compared to financial information. We found no difference based on age: both groups felt financial security is more important than health data security. The findings of this research can be used to improve and enhance usability of future PHRs and overall PHR usage by patients. While this study is specific to cardiology patients we believe the results are generalizable to all patients with chronic conditions.
Can IT Improve Cardiac Treatment Quality?: A Quantitative Study of Interaction between Technology and External Factors
The scope of healthcare information systems (HIS) is immense. It can not only help in providing easy access to data and taking decisions, but also ensure following standard procedures and improve quality. Prior literature have discussed on technology impact while controlling for the organizational and economic factors. However, there is a dearth of research on the effect of their interaction with technology. Moreover, overall technology impact misses the depth of application-level impact. Our work discusses the application-level impact and also empirically shows the effect of its interaction with other external factors. Our finding for 2010 show that use of HIS in nursing activities was significant in improving care quality. Disease-specific applications also have a positive effect under the influence of organizational factors. In 2013, per-capita income has significant effect on the impact of technology. Moreover our results show a considerable increase in the significance of technology and the interplay between technology and external factors in 2013 from that in 2010. Thus, our work motivates researchers to explore factors influencing the effect of technology. It directs managers to prioritize their investment on applications based on their impact on healthcare quality.
In the past decade, research on healthcare IT (HIT) has become an established domain in the IS field . Given the large number of HIT papers published in IS journals, as well as the many special issues dedicated to HIT, and the role of IS special interest groups (e.g., AIS SIG Health) and specialized HIT conferences, it is time to take stock of the contributions of the IS community with regard to HIT. This paper provides a meta-review of HIT research – a review of nine prior IS HIT review papers from journals and conferences. Based on insights from our analysis, we create a new framework to classify IS HIT research (the PRECIOUS model). We argue that our framework leverages and extends the well-known PICO framework used in medical research to render it useful for IS scholars who seek to locate or classify the contributions of IS scholars to HIT research. In creating our PRECIOUS model, we also seek to remedy several problems that have previously been noted regarding the limitations of the conventional PICO model.
SESSION: Paper Session 1.2: Emerging Trends in Systems Development
The Influence of Agile Practices on Performance in Software Engineering Teams: A Subgroup Perspective
This research explores the influence of the agile practices daily stand-ups and retrospectives on negative effects of subgroups, i.e. of having several smaller groups within a team, on group conflict, satisfaction, and performance. Based on extant literature in agile software development (ASD) and group research, a model of effects of ASD practices and the constructs elaboration, i.e. direct sharing, of information and team reflexivity, i.e. how much teams reflect on processes and outcomes, is developed and assessed using a survey of agile teams. Previous findings on negative effects of subgroups on conflict and satisfaction are corroborated in an agile setting. Retrospectives enhance team reflexivity and elaboration of information. As expected, elaboration of information significantly attenuates effects on conflict. Surprisingly, reflexivity is seen to further exacerbate the negative effects of perceived subgroups on conflict and satisfaction.
If You Can’t Say Something Nice: Factors Contributing to Team Member Silence in Distributed Software Project Teams
Managing software projects is complex. Increasingly, organizations are using different methods and forms of teams to ensure software projects are developed on time, on budget, and meet functionality requirements. One factor that can affect the success of a software development team is the willingness of team members to be fully engaged and to share concerns throughout the effort. Employee silence is the unwillingness of an individual to express concerns. This exploratory research study examines three factors that influence a team member’s choice to remain silent when participating in a distributed software project: the individual’s level of experience, the role of the offending team member, and the individual’s personal responsibility to report. Using a scenario-based experiment, this study finds that some of the factors that are assumed in other contexts of employee silence may not be related in the context of distributed teams in which there is a need to voice concerns among peers.
SESSION: Paper Session 2.1: Social Media and Gamification
Some individuals actively avoid social media advertising, for instance by scrolling over ads or ignoring ads. Therefore, this research aims to identify distinct profiles of individuals avoiding social media advertising. We build upon the advertising avoidance model and take a person-centered approach, using latent profile analysis to identify different profiles of individuals, who avoid social media advertising. We identified three distinct profiles of individuals, differing in their perception and their level of avoidance: unconcerned users, playful avoiding users and goal-oriented users. We contribute by characterizing individuals avoiding SMA, so that companies can use these profiles to derive different strategies how to deal with different profiles.
Gamification is the process of adding games or game-like elements to a non-game task in order to encourage participation and engagement . Gamification, as a means of engaging consumers [6, 10, 16], has become more and more popular and implemented in a range of user-oriented applications. However studies have shown that it may not always have the type of impact as initially projected [12, 13]. Gamification yields different, sometimes contradictory, results with regard to the engagement outcomes. Researchers have argued that gamification is not always properly implemented and may not have consistent positive effects , as the reward mechanisms and intensified competition could create a controlling gaming environment that could dampen the intrinsic motivation of the participants . Therefore, it is important for businesses and organizations to be able to gauge the impact of gamified interventions and evaluate return on investment.
The significance of aggression for the understanding of human behavior cannot be over amplified. It associates the individual, behavior, habits, environment, and health (mental). Understanding specificity when it comes to types of aggression and aggressive behavior can help with implementing appropriate countermeasures to those who demonstrate aggressive behavior within their speech and behavior on social media platforms. Through a research synthesis utilizing different search engines to find work on hate speech detection, hate, anger, aggressive behavior in social media, and the consequences associated with these terms, it can be concluded that previous work on hate speech detection have developed methods that ignore the variety in speech, possible other categories of hate speech, the correlation of speech to human behavior, and demonstrate minimal to no empathy toward the users from which this data was extracted from. Categorizations of hate speech currently only include hate and offensive language. Another category that should be added is anger. Future studies should specify their searches to including aggressive behavior since it is the connection when analyzing human behavior and hate speech.
SESSION: Paper Session 2.2: Technology and the Workforce
The Effects of Anxiety and Preparation on Performance in Technical Interviews for HBCU Computer Science Majors
Interview anxiety affects us all and research suggests that it can have a negative impact on interview performance. For that reason, a better understanding of how interview anxiety is affecting underrepresented minorities in computing should be a goal of academic institutions and companies who plan to hire these students. Technical computing interviews often require more than just knowing how to code, and students are not always aware of this. The current study investigates interview anxiety, interview performance among African-American students at Historically Black Institutions and the tools they use to prepare for interviews. Findings suggest that interview performance decreases as interview anxiety increases, supporting past research. Also, results suggest that experience going through interviews have a positive impact on interview anxiety. The major contributions of this work include: further understanding of the research literature for interview anxiety in relation to African American students in computing; incite in how this group of students prepare for interviews.
Although prior research has examined the influence of technostress creators on various job outcomes, insights into the influence of individual technostress creators and their impacts on job outcomes are rather limited. In this research, by providing a technological component to the existing Job Demand-Resource framework, we investigate the relationship between individual technostress creators and burnout in an Indian context. We also examine the interaction among technostress creators to identify the mediating impact of techno-invasion and techno-insecurity. Analyzing a total of 163 responses, collected through an online survey we found encouraging pieces of evidence for our hypotheses. Specifically, our findings revealed that among the five technostress creators, only techno-invasion and techno-insecurity are positively related to burnout in an employee. The contributions of the study to theory and practice are also discussed.
Employers are more concerned than ever with effective hiring. Business competes for personnel in a dynamic employment market; securing the best prospective employee requires dedicated use of parallel networking channels to identify applicants of interest. One channel is interpersonal and is highly favored, carrying the power of interpersonal trust in the form of recommendations from “known others.” Applicants and employers, alike, favor strong personal connections when it comes to evaluating opportunities and prospects. The other channel is intermediated, and characterizes the confused conventional knowledge notion that online social media are effective channels through which applicants can influence employers. The true state of this channel’s effect lies more in the employer’s ability to use online social media as a filtering and qualifying mechanism to vet employees in advance of considering whether to engage in further interactions toward employment.
SESSION: Paper Session 3.1: Patient Perspectives in Healthcare
User Experiences with Personal Intelligent Agents: A Sensory, Physical, Functional and Cognitive Affordances View
The interaction between users and their personal intelligent agents like Apple’s Siri, Amazon’s Alexa, and Google Home is getting more personal, therefore raising questions about the ethical obligations of technology companies. Thus, a thorough examination of users’ experiences with these agents is indispensable. After all, it is merely the interaction between the human actor and the system that enables the artifact to be of consequence. This study uses an affordances lens to explore such use patterns. We qualitatively analyze 232 interviews with personal intelligent agents’ users. The results reveal sensory affordances that support functional ones (hands-free and eyes-free use, familiarity and emotional connection) and dominate the users’ experience with these agents. We also detect cognitive (personalization and learning from interactions), functional (speedy assistance and usefulness), and physical affordances (potential improvement). These findings have implications for researchers and practitioners alike seeking to understand usability patterns and challenges resulting from the integration of Apple’s Siri, Google Now, Amazon’s Echo and Microsoft’s Cortana into users’ everyday life.
We develop a social network based model of user-generated content (social support) in online health communities. Grounded in the social presence and the social network theories, we hypothesize the differential impacts of an online health community member’s brokerage and influence in the web-of-support on a) extent of social support, and two self-absorption linguistic features namely b) self-focused and c) socially-focused words in social support text. Variables were operationalized using text mining and social network analyses. We empirically tested our model using panel-data collected from an online health community for diabetics. Higher brokerage results in more support from the member; however, the marginal effect is decreasing. Higher influence results in reduced support; however, the effect is increasing at higher levels. Higher brokerage and influence results in more socially-focused support; however, the marginal effect is decreasing. Higher brokerage and influence results in less self-focused support; however, the marginal effect is increasing.
SESSION: Paper Session 3.2: IT and Innovation
Cloud Computing and Firm Innovation: The Role of Scalability and Heterogeneity in the Face of IT Resource Uncertainties
Will Users of Process Management Systems Be More Innovative?: A Study on Process Innovation and Process Orientation in the Financial Industry
SESSION: Paper Session 4.1: Analytics to Improve Health and Well-being
This paper is utilizing predictive models to determine missing electronic medical records (EMR) at general practice offices. Prior research has addressed the missing values problem in the EMRs used for secondary analysis. However, health care providers are overlooking the missing records problem that stores the patients’ medical visits information in EMRs. Our study provides a technique to predict the number of EMR entries for each practice based on their past data records. If the number of EMR entries is less than predicted, it warns the occurrence of missing records with the 95% confidence interval. The study uses seven years of EMRs from 14 general practice offices to train the predictive model. The model predicts EMR data entries and accordingly identified missing EMRs for the following year. We compared the actual visits illustrated by de-identified billing data to the predictive model. The study found auto-correlation method improves the performance of identifying missing records by detecting the period of prediction. In addition, artificial neural networks and support vector machines perform better than other predictive methods depending on whether the analysis aims at detecting missing EMRs or when identifying complete EMRs with no missing records. Results suggest that clinicians and medical professionals should be mindful of the potential missing records of EMRs prior any secondary analysis.
Using Reputation to Predict Online Psychological Counselor Appointment: Evidence from a Chinese Website
SESSION: Paper Session 4.2: Emerging Trends in Workforce Development – 1
One of the major challenges of crowdsourcing is to build a labor force that is not only capable but also honest. Prior research on crowdsourcing-mechanism design mostly focuses on motivating individual worker’s effort, while neglecting the importance of building highly trustworthy crowd labor force who tends to honestly report the quality of the microwork. To fill this gap, we propose a novel mechanism in this paper. The proposed mechanism combines the principal-agent model and signaling game to enable the information exchange from crowd workers to a requester, and to provide dynamic financial incentives/punishments to honest/dishonest behaviors identified in random quality inspections. To evaluate our proposed mechanism, we perform extensive simulations. Our results suggest that the proposed mechanism is effective and efficient to motivate workers who are capable but less honest to change their behavior when sending signals to indicate their finished microwork, while the extra cost of implementing the proposed mechanism could be minimal. With the behavioral changes of the “liars”, a highly capable and honest labor force of crowd workers may be developed. The model is also useful as a foundation for theoretical and empirical studies of information exchanges from worker to a requester in the crowdsourcing market.
Our research examines the impact of virtual mentoring, or E-mentoring. We surveyed 133 IT professionals as to their experiences as protégés. We asked them about their mentoring relationships, as well as job and career outcomes, and the extent to which they interacted with the mentor virtually. We predicted that E-mentoring would lead to less effective mentoring relationships, less mentoring satisfaction, and lower career outcomes, and that these effects would be moderated by age (millennial protégés versus older protégés). We found few effects, other than lower satisfaction with E-mentoring relationships. The results suggest that E-mentoring can be as effective as face-to-face mentoring. However, few in our sample had completely virtual mentoring relationships, so it may still be possible that E-mentoring with almost no face-to-face interaction may be less effective.
Previous studies have investigated the role of embodied conversational agents in providing mentoring advice in faculty- student relationships. One limitation is the need for the protégé to visit a specific website to access the agent (mentor). This paper presents the design and development of a conversational agent mentor that uses a more pervasive application for dialogue, short message service (SMS). The SMS conversational agent has been constructed to be used as a virtual mentor, to mentor undergraduate computer science majors at a Historically Black College (HBCU) who are considering pursuing a graduate degree in computing. This study has been designed to compare the effectiveness of the SMS conversational agent to the original conversational agent, an embodied conversational agent (ECA).
SESSION: Paper Session 5.1: Emerging Trends in Workforce Development – 2
Identifying and Discussing Drivers and Barriers of a Job System for the Virtual Agile Workforce of the Future
Agile software development, such as Scrum, and more recently agile project management have been topics that have been part of management literature over recent years. The further development towards agile work systems and with it the necessary changes to an agile workforce of the future is at the scope of this work. A structured literature review, based on articles published in peer-reviewed Management and Information Systems (IS) journals, is performed to find out in how far scientific research has already covered this development and to further analyze, what aspects play the most important roles in the advancement of agility. The key findings focus on the presence of flexible working arrangements, used by organizations and employees, virtual work, the necessary knowledge management measures as well as the vital role that leadership plays in the organization.
This paper positions the discussion of leveraging Historically Black Colleges and Universities in the effort to increase diversity in STEM Education. STEM Education can be prominently featured at HBCUs with the outcome of producing STEM graduates that enter into technical fields. As HBCUs shift from their initial founding and look to achieve strategic success in other areas, STEM Education would seem to be a natural fit. However, as with many well-intentioned goals at HBCUs, the ability to be successful in STEM Education hinges on several criteria, including funding, external corporate partnerships and internal collaborations. Given the roadblocks that HBCUs face and have been able to overcome, thus far, anchoring themselves as a cornerstone in STEM Education could prove to be a shift they could master. We conclude with five research questions that should further be explored by HBCUs as an extension of their STEM Education goals. HBCUs are unique institutions that will continue to play a pivotal role in America’s postsecondary educational system. Participation in STEM education is just one of the many ways their role will continue to be solidified.
SESSION: Paper Session 5.2: New Pathways
Students can enter IT degrees with only a general idea of available career pathways and career options. Students often select an IT degree based on intrinsic interest in IT, however their career decisions can be based on misconceptions about the industry. The ‘Day in the Life’ application seeks to provide industry and career knowledge to first- and second-year IT students through an informative resource detailing the daily activities of various IT professionals, with a focus upon individual video interviews and organisation-related content. Usability testing was conducted to answer the question: to what level does this site alone change students’ perspectives or understanding of day-to-day work in the IT industry? While revisions are recommended, overall student feedback indicates that the application has a positive effect on student knowledge, understanding, and career confidence.
In a research community, the use of the concept of category and categorization is widespread, generally helpful, but sometimes overly constraining. Despite the wealth of studies that propose new categories, a somewhat static view of categories pervades many disciplines. As we demonstrate on the analysis of a seminal framework by Gregor (2006), a given set of categories can be criticized and challenged in light of potentially valid alternatives. In contrast, we suggest for researchers to adopt the assumption of fluidity of categories, which leads to a different approach to demonstrating the contribution of research that deals with categories.
SESSION: Poster Session
Technology IPOs expose Information Technology (IT) firms to significant challenges that are fundamentally different from those faced during the founding or startup stage. To tackle the post-IPO challenges, IT firms pay premium wages to hire professional executives from the external labor market rather than from within. Yet, how the executive pay of external hires compares to that of internal hires when IT firms mark significant milestones in their lifecycle remain understudied. The current study therefore examines the pay of internal and external hires and place it within the context of the IPO timeline i.e. pre- and post-IPO. By analyzing data from multiple sources using a linear mixed effects modelling technique, we find that IT firms pay internal hires significantly higher than external hires in the pre-IPO stage. In the post-IPO stage, IT firms pay external hires significantly higher than internal hires. We discuss the implications of the findings on theory and practice.
“U.S. health care spending grew 5.8 percent in 2015, reaching $3.2 trillion or $9,990 per person. As a share of the nation’s Gross Domestic Product, health spending accounted for 17.8 percent” . Therefore, an intensive national effort to improve healthcare using information technology (IT) with a focus on reducing costs and increasing quality of service is well underway. In this regard, patient portals, known as personal health records, show promise as tools that patients value and that can reduce healthcare cost and improve health. These Health Information Technology (HIT) are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. Patient portals can lead to improvements in clinical outcomes, patient behavior, and experiences. However, portal adoption is still low, due to technological limitations and to the lack of adaptability to primary care practice workflow . Large studies in outpatient settings have found that providing patients with adequate functionalities leads to increases in patient satisfaction and then adherence to patient portal . In fact, patient portal user satisfaction is increasingly recognized as an important component of quality . However, little is known about the different patient portal characteristics that are associated with higher patient satisfaction. It seems there is insufficient evidence to support how portals empower patients and improve quality of care. According to the literature, many studies have addressed the relationship between the use of health information technologies and patients’ satisfaction [4-7]. Despite the fact that there is some evidence that such technologies improve and enhance patients’ satisfaction, there exist some inconsistencies in the findings and reported results . The literature also highlighted the need for further research that focuses on use of the patient portal and measures of quality indicators such as medical outcomes, medication adherence, and patient satisfaction . In this study, we systematically analyze users’ reviews of mobile patient portal to extract features that are associated with patient satisfaction. To this end, we use user rating as a proxy for user satisfaction and adopt word-level n-grams to represent user reviews. We use MyChart reviews as Epic has captured significant market share with at least partial health information for 51% of the US population. It has been described as the default EHR choice not for its superior performance, but because other systems are considered inferior . Specifically, in this research, we aim to identify predictors of patient satisfaction based on a systematic analysis of user feedback from actual use of patient portal. The data were collected using a web crawler. We obtain our data set consisting of 500 reviews. For data preprocessing, we removed stop words and represented user reviews using vectors of word-level n-grams weights. For the word n-grams, we include unigram, bigrams, and trigrams. We perform feature selection using the commonly used Chi-square (X2) method. To evaluate the predictive power of the features selected, we chose four evaluation metrics, precision, recall, accuracy, and F1 Score. Results analysis show that the majority of selected features are related to the ease of use of the patient portal, other features are related to specific features and functions the users can use within the application such as scheduling appointments, communication with health providers, using the calendar, etc. Results also report “touch id”, fingerprint recognition feature, which is a security related feature that allows users to log in to their portal. The performance results of the features selected in predicting user satisfaction using different classifiers such as decision tree, linear SVC, ridge classifier, logistic regression, Bernoulli Naïve Bayes (NB), and random forest show very good performance with accuracy ranging 73%-80%, F1 ranging 81%-86%, Precision ranging 88%-96%, and Recall ranging 75%-79%.
Building Health Information Networks Using Facebook: A Pilot Study with New Mothers in Rural Appalachia
This qualitative inquiry studies the key factors influencing the process of building, growing, and sustaining a health information network among new mothers on Facebook, who live in Appalachian Tennessee. Grounded theory analysis of in-depth phone interviews reveal that (i) realizing information needs, (ii) turning to the Internet and social media, (iii) joining the Facebook group, (iv) building a community of practice on the group, (v) information practices of users, and (vi) deriving benefits to meet the information needs, help them build the health information network.
Computing Career Exploration For Urban African American Students using Embodied Conversational Agents
Social media provides a flexible platform for self-presentation, which is one of the prominent functions used by young people. Young people post profile pictures, status updates, images and videos about their lives. However, the truthfulness of self-presentation may range from selected presentation, ideal self, self-promotion, to twisted, false self. Research has reported that the selective self-presentation on social media may have negative impact on the well being of young people. Using the theory of users and gratifications, this research attempts to investigate the interdependence between self-presentation, peer feed backs and peer comparison, and how the interdependence shapes young people’s self-presentation on social media.
This paper investigates the effects of fitness applications on physical activity performance, knowledge of which can help in feature design to improve users’ utilization of the apps.
Are Friendly and Competent the Same?: – The Role of the Doctor-Patient Relationship in Physician Ratings
More and more people regularly use physician rating websites to inform their choice of physicians. As physician rating websites attract more users, the number of such websites is expanding as well. Research on several German and English physician rating platforms has shown that despite similarities among the factors constituting ratings across platforms, there is no standardized set of such factors. The lack of a framework explaining how physicians are rated makes it difficult to compare how patients perceive and evaluate their doctor, and how physician ratings are calculated. As a step toward developing such a framework, this study identifies the factors influencing how satisfied patients are with their physician, and therefore how they rate them, assuming positive ratings on rating websites correlate with patient satisfaction. Past medical and healthcare-related research indicates that overall patient satisfaction is influenced by factors directly attributable to the physician, such as the quality of the medical treatment and the doctor-patient relationship, as well as by factors attributable to the administrative aspect of medical treatment services, such as waiting times, accessibility and the physical environment of the physician’s office. This research focuses solely on the factors directly associated with the physician. The literature identifies two main determinants of patient satisfaction with the physician: the perceived competence of the physician and the interpersonal relationship between the doctor and the patient. The influence of perceived competence of the physician is a controversial construct among practitioners, who argue that in general most patients are laymen in the field of medical treatment and are not able to accurately assess treatment quality. In other words, this knowledge gap between patient and physician skews perceived competence. The second important determinant of patient satisfaction are interpersonal aspects such as how much the patient likes the physician, which influences the patient’s perception of the physician’s technical skills. This kind of satisfaction focuses on the short-term evaluation of the physician and does not consider medical treatment outcomes, which is often only possible after much more time has passed and, even then, may not necessarily be directly or solely attributed to the treatment. In this study, patients (n=115) in waiting rooms of five physicians in southern Germany were part of the quantitative data collection how satisfied they are with their physician and, therefore, how they would rate them. The data was evaluated using the partial least square method, and convergent validity, construct reliability and discriminant validity were tested. According to our results, the doctor-patient relationship and perceived competence are major determinants of satisfaction. More importantly, our findings indicate a strong influence of the doctor-patient relationship on perceived competence, supported by high cross-loadings of the two constructs. This finding indicates that patients who like their physician are likely to rate the physician’s competence highly. This has important implications for the value of ratings as an information source. Patients may perceive ratings as an indicator of quality medical treatment, but the reviews and ratings on physician rating websites are a stronger indication of empathy, sympathy, amiability and likeability. The data also indicates that patients generally view their physicians positively, which is in line with previous research on physician ratings showing that patients ratings of physician rating websites usually favor their physician. This study fails to collect sufficient data about factors influencing patient dissatisfaction, since the sample had a heavy positive bias. In addition, this study does not measure rating behavior directly, but rather assumes strong correlation between high patient satisfaction and positive physician ratings. Further research will focus directly on the rating behavior on physician rating websites and the influence of treatment outcomes. To challenge the positive bias of patients, specialists should be chosen for the study, who are only visited few times by patients.
The increased use of health information technology has made a wide range of personal health information available for practitioners and researchers alike. Notably, as more personal health information becomes available, there is increasing concern for the data’s privacy. Personal electronic health information, i.e., digital report(s) of real-time patient-centered information, are a relatively new phenomenon for many of us to confront these days. Prior studies have examined the construct of privacy in-depth including cross-cultural perspective , analysis at different levels – organizational, group, and individual , literature reviews [3, 2] and more.
Expounding on these areas, research is now beginning to investigate the influence personal characteristics has on privacy. Rather than viewing privacy concerns as a single multidimensional consequence, our study examines the link between personality traits and individual privacy concern dimensions. A widely established proxy for privacy , known as the concern for information privacy (CFIP), consists of four components: collection, errors, unauthorized secondary use and improper access.
Unlike previous studies, we treat each of the privacy concern dimensions separately to determine how personality affects each specific concern. For some personality traits, we expect there to be a significant effect across all four dimensions; in others, the effect on some dimensions is expected to be significantly higher than others. In healthcare, the appropriate control of the information is viewed as an obligation of health care professionals from an ethics perspective but also as a function of their expertise, power and professional status . We expect that characteristics such as the dynamic nature of healthcare and the private and intimate essence of patient information will highlight explicable relationships between personality traits and dimensions of privacy.
We have developed a Likert-scale-based survey instrument corresponding to the model, gathered data, and are currently analyzing the dataset using structural equation modeling. We hope that the results of our study (once completed) will be beneficial for subsequent studies as well as for practitioners interfacing with concerned users of health data.
Mobile banking (MB) services offered today by a majority of financial institutions are moving from being a strategic advantage to survival strategy in a highly competitive environment. The ubiquity of smartphones among banking customers to access a wide array of banking services including account balance check, money transfer, and mobile deposit has fueled MB services adoption. Personalization involves customizing the user interface and graphics to each users’ need. Research on mobile usage shows that apps with personalization increases customer satisfaction, loyalty, continued usage and provide a higher return on investment for the banks.
In this study, we designed a personalized MB application that conducts real-time analysis of user’s prior interactions with the system to improve user experience with a personalized user interface (UI) while maintaining user privacy. The architecture of PERsonalized user interface in Mobile App (PERMA) system is modeled in terms of client-server architecture where the mobile app in a smart phone connects to a backend server in private cloud over mobile network
Lifecasting is a business model conducted in online social media contexts, wherein site owners produce content that is intended to be interesting and even financially compelling to an audience of like-minded individuals who participate as both viewers and collaborative content producers on the topic of focus. Largely a business model practiced by young Chinese techno-entrepreneurs, Lifecasting demonstrates how interesting topic knowledge combined with entrepreneurial spirt and marketing sensibilities related to the promotion of the online social media of the Internet can turn into promising careers for certain individuals. A similar phenomenon exists in the West, called “live streaming,” but while many might be tempted to compare Lifecasting with Western-style streaming, there are key distinctions for Chinese Lifecasters, leveraging the online social medium as a nascent and productive business model.
Lifecast audience members can send instant messages as well as payments and electronic “gifts” to their favorite Lifecasters, a factor which makes Lifecasting as a career quite compelling to some practitioners because of the revenue production potential.
Any online social media user can be a ‘caster, if they are willing to expend the time and effort to conceptualize, create, share, promote and exchange targeted personal information and experiences to interested groups of the Internet public. In this sense, modern Lifecasting represents a form of peer-to-peer (P2P) customized mass communication. As studied here, Lifecasting is a distinctly Chinese phenomenon. It is prevalent enough in China that the government formally tracks and reports on its progress. To that end, researchers interested in the concept as an aspect of emerging models of technological work should consider how likely the model is to prosper and grow in Western countries, specifically in view of its distinctly Eastern character in current use.
Arguments have been made that the Information Systems (IS) workforce is changing and that as old roles disappear, new roles emerge. The idea that IS workers are only found in IS roles has changed to one where it is accepted that IS work may occur both inside and outside IS, and with co-creation by external stakeholders. Our research describes an empirical study of eight years of undergraduate IS placement data. The primary research question presented here is in response to arguments made in the theoretical paper by Neiderman, Ferratt, and Trauth (2016) with a goal to test if IS employment trends are shifting in response to the need for “bridging” workers who understand both IS and the business. Early findings and implications are presented.
Improving Student-Driven Feedback and Engagement in the Classroom: Evaluating the Effectiveness of the Speed Dating Model
Information Systems (IS) pedagogy research supports the use of collaborative learning strategies that are based on the belief that learning increases when students work together to solve problems and develop cooperative learning skills. The use of innovative active learning approaches instead of lecture-based approaches have helped to engage student learning and build a broader range of skills and experiences (e.g., [1, 2]). In this project, we present an empirical comparison of two active learning classroom approaches – the speed dating method and a traditional presentation format. The speed dating method supports low-cost rapid comparison of project ideas, design, application and progress in a structured and bounded series of serial engagements. In contrast, traditional student presentations allow individuals to provide content but offer somewhat limited interactions. We analyzed data from 174 student surveys and in-class researcher observations of student engagement in an undergraduate senior capstone course entitled, Innovation in Information Systems. The course is centered on studio-based learning as assignments are primarily project-based, students’ work is periodically evaluated through critiques, and students continuously engage in critiquing peers’ work . The course utilized an alternating series of speed dating and presentation session formats. Our analysis resulted in three main findings. First, students reported receiving and giving much more helpful feedback during the speed dating sessions than in the presentation sessions. Second, students reported being significantly more engaged during the speed dating sessions than in the presentation sessions Finally, classroom observations of engagement showed that students were significantly more engaged in the speed dating session as compared to the presentation session . We believe these findings demonstrate that the speed dating method is a more effective alternative to a presentation format and is a useful complement to other collaborative learning methodologies.
Online advertising and the whole industry enabling and delivering online advertisements through the ad delivery process become more and more economically important, as it enables several Internet-based services and provides firms with the possibility to globally reach a broad range of consumers. The ad delivery process is concerned with the trade of ad spaces in the Internet and the placement of the right ad at the right time.
SESSION: Doctoral Consortium
Project success continues to be a concern for information systems practitioners and academics alike. Previous research has studied organizational attributes such as governance, knowledge, and individual attributes mainly focused on project leadership that can affect performance. This study makes an effort to shift the focus to IS professionals who are at the core of IS projects and explores how IS professional’s individual narrative of IS project success develops. Using the attribution theoretical lens, the study proposes that the development of the narrative of IS project success is a process of casual attribution involving perception of justice, engagement and perception of project performance. Seventy-nine IS professionals from various organizations participated in a survey which measured the project performance for projects they completed in the recent past, their level engagement in those projects, and their perception of justice during those projects. Respondents represented a wide variety of industries such as retail, telecommunications, and food from both US and non-US project locations. Besides explaining the narrative of IS success, the study also reveals that this narrative has potential downstream effect on the well-being of the IS professional. The study is expected to enrich the IS project management literature by providing deeper understanding of the perception of professionals working in IS projects.
Social Media and Public Discourse: A Technology Affordance Perspective on Use of Social Media Features
In this paper we present the proposal for a research study that aims at explaining the consequences of social media use on mass media content and public discourse. Social media is defined as a set of networked communication platforms that enable generation, distribution and consumption of user generated content. Technology features of the social media platforms are at the center of our analysis. The use of social media features is conceptualized using technology affordance theory. Borrowing from mass communication literature, we argue that media content is produced as a result of a dialectical relationship between media discourse and public opinion. The consequences of social media use on public discourse are conceptualized in terms of the changes in the dialectics between media discourse and public opinion resulting from the use of social media. Two types of public discourses are identified. We develop theory from extant literature to arrive at proposition on consequences of use of specific social media features on the media content and public discourse. Propositions are presented both for the general public discourse case and the context of particular type of discourses. We conclude this proposal by discussing the potential contributions of our study.
Online advertising becomes more and more economically important, as it enables several Internet-based services and provides firms with the possibility to globally reach a broad range of consumers. Despite its huge significance, the whole industry is currently exposed to severe challenges concerning the ad delivery process, as click-through rates are declining rapidly, risking the effectiveness of online advertising and thus also the ad dependent business models, which contributed decisively to latest innovations in IS. To bridge the gap between the advertising industry and the consumer, we conducted a literature review on the most important IS and Marketing journals and conferences, to summarize the current evolution of online advertising research and, in a second step, to identify research gaps that need to be filled in the course of this dissertation. Therefore, we mainly base on mixed methods approaches involving QCA to identify the actual effects online advertising has on the consumers and on organizations.
The video games sector, an information technology-enabled services (ITES) industry, has rapidly expanded over the last four decades growing at 13.3% annually. In the Philippines, which is now one of the top destinations for ITES in the world, the number of game developers is predicted to grow to 9,100 in 2022 from 4,300 in 2016. This study will explore the experiences and concerns of game developers in the context of information technology-enabled services in the country, and the process by which they address these concerns, using the classic or Glaserian grounded theory method. The results of the study can help game development organizations improve work processes or working conditions, which in turn could lead to greater productivity and quality, and schools in the design and development of game-related programs and curricula.
Food intake is an important form of health information to observe the current status of personal health, which enables setting healthy eating goals and choosing a better diet. Based on monitoring food intake information, customized mobile interventions can help in advising users to consume a diverse and desirable quantity of healthy foods. However, previous research has not assessed whether mobile interventions enhance healthy eating behavior as an intermediary when determining whether the interventions impact health outcomes. To design mechanisms for behavior change, we need a better understanding of how mobile-based interventions affect users’ motivation to change food intake behaviors and lead to healthier behavior. In this proposal, we categorize the prior interventions and behavior change techniques mainly based on three behavioral theories, i.e., control theory, theory of planned behavior, and theory of operant conditioning. Subsequently, the purpose of this thesis is: (1) to model theory-based mobile interventions for managing food intake, and (2) to investigate the impact of these mobile interventions on healthy eating behavior as an intermediary to better health outcomes. To this end, we propose three field experiment designs for future study.
Role of Absorptive Capacity, Knowledge Networks and Intellectual Property Rights in OSS Adoption of IT Firms: Doctoral Consortium Proposal