Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring the strategic business and IT alignment in a digitally revolutionized economy

The competitive environment of Information Technologies (IT) burst with a never seen intensity, transforming industries, business models, organizational culture and processes. The mutual understanding between the functional areas of the organization with the IT unit is critical for the strategic alignment. Even though significant efforts have been made to understand the relationship of the factors that influence an effective alignment between business and IT, the instruments that measure the maturity achieved between Business and IT present a delay in its evolution. This paper criticizes the available models and proposes an update for measuring the level of maturity achieved in this critical strategic topic. The model was operationalized with constructs and a survey applied to a pilot sample of executives from mostly large Chilean companies. The proposed update includes new factors, which are considered as relevant in this new digital scenario, which, according to the results of the research, are a real contribution to measuring the degree of alignment between the business and the IT function.
ERP Skills in the Business Curriculum: Improving Program and Student Outcomes

Organizations face relentless competitive pressure, requiring them to perform with ever-increasing efficiencies. Enterprise resource planning (ERP) software can improve organizational performance by integrating and automating core business processes across separate functional areas such as accounting, finance, manufacturing, sales, and human resources. As a result, these connected, functional areas provide a cohesive business unit with a holistic view of the organization and faster response times for business concerns and decision-making. With these potential benefits, it is no surprise the ERP software market continues to grow annually, with an estimated global market value of $82.3 billion in 2016 (Statista 2018). This growth, expected to continue, is partly attributed to growth in the Software as a Service (SaaS) delivery model where small and medium-sized enterprises (SMEs) can purchase cloud-based applications and data storage from ERP providers such as SAP, Oracle, and Microsoft (Irriberri, Kwon, and Henson 2015). ERP solutions were once an option only for large enterprises that could afford the infrastructure required to implement these complex systems. But SaaS offers scalability and reduces the need for hardware and associated support, making ERP affordable to SMEs. As the industry-wide demand for ERP resources grows, so does the demand for workers with skills in ERP software. There is evidence that graduates with these skills earn higher salaries upon entering the marketplace (Cronan & Douglas 2012). In response, business schools are increasingly offering ERP education in various forms. One popular delivery system for ERP education is the SAP University Alliance. As the leader in ERP software service, the company claims 91% of the Forbes Global 2000 as SAP customers. As the demand for ERP services and requisite skills grows, so does the participation in the SAP University Alliance (SAP UA 2018). Reported at over 1,400 educational institutions in 2015 (Alshare, ElMasri, & Lane 2015), SAP states that number has grown to over 3,500 current alliance members (SAP UA 2018). This paper presents observational research describing the implementation of enterprise resource planning principles and development of software skills in a College of Business program.
Towards Understanding Malicious Actions on Twitter

In this study we investigate the characteristics of malicious account behaviors on Twitter based on the analysis of the published data archive. We investigate emergent behavior of malicious accounts that Twitter tagged as connected to state-backed information operations, identified as malicious and removed from the Twitter network. We focus on the analysis of four types of malicious accounts’ features: (1) Account reputation, (2) Account tweeting frequency, (3) Age of account and (4) Account activity score. With the use of descriptive statistics and unsupervised learning, we attempt to extend past research that defined behavioral patterns of malicious actors on Twitter. Our research contributes to the understanding of behavior of malicious actors and enriches current research in that area. In this paper we analyze the dataset published by Twitter in January 2019, which contains details on suspended malicious accounts’ activities initiated in Bangladesh.
Aplikasi Pendeteksi Citra yang diambil dari Kamera Mobile Device untuk Menghasilkan Ensiklopedia Fauna Berbasis Android

Finding new animals can sometimes be something new for humans. If both tame or wild animal is found, it usually search for information about the animal would do. However, knowledge of these animals still tend to be minimal. Questions arise about knowledge of these animal. However, this knowledge comes after the animal attacked. Therefore, the solution provided is an application that generates information that is always new with image detection technology. Thus, with just a photograph, information can be obtained easily and quickly. Application can be run on Android Jellybean operating system API 17 and so on.
A Review of Knowledge Contribution Measurement in Online Communities

Scholars have long studied the genesis of knowledge in organizations and communities. These entities are increasingly being superseded by virtual counterparts, leading to the emergence of online communities. While the information systems (IS) literature covers many aspects of how and why online community members contribute knowledge, less attention has been paid to the nature and rigor of its measurement. In response, this study reviews the empirical literature on knowledge contribution in online communities with the aim of assessing the current state of its measurement. Insights into direct and indirect measurement approaches are evaluated and three primary categories of measures are identified—volume, quality, and other. A typology of online communities is proposed to investigate measurement differences between community types. We find evidence that different theoretical perspectives inform measurement in different types of online communities. The paper concludes by outlining limitations and future research directions.
Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions

Augmented reality (AR) greatly diffused into the public consciousness in the last years, especially due to the success of mobile applications like Pokémon Go. However, only few people experienced different forms of augmented reality like head-mounted displays (HMDs). Thus, people have only a limited actual experience with AR and form attitudes and perceptions towards this technology only partially based on actual use experiences, but mainly based on hearsay and narratives of others, like the media or friends. Thus, it is highly difficult for developers and product managers of AR solutions to address the needs of potential users. Therefore, we disentangle the perceptions of individuals with a focus on their concerns about AR. Perceived concerns are an important factor for the acceptance of new technologies. We address this research topic based on twelve intensive interviews with laymen as well as AR experts and analyze them with a qualitative research method.
The Role of Career and Wage Incentives in Labor Productivity: Evidence from a Two-Stage Field Experiment in Malawi

We study how career and wage incentives affect labor productivity through self-selection and incentive effect channels using a two-stage field experiment in Malawi. First, recent secondary school graduates were hired with either career or wage incentives. After employment, half of the workers with career incentives randomly received wage incentives, and half of the workers with wage incentives randomly received career incentives. Career incentives attract higher-performing workers than wage incentives do, but they do not increase productivity conditional on selection. Wage incentives increase productivity for those recruited through career incentives. Observable characteristics are limited in explaining selection effects of entry-level workers.
Intestinal enteroids/organoids: A novel platform for drug discovery in inflammatory bowel diseases

The introduction of biologics such as anti-tumor necrosis factor (TNF) monoclonal antibodies followed by anti-integrins has dramatically changed the therapeutic paradigm of inflammatory bowel diseases (IBD). Furthermore, a newly developed anti-p40 subunit of interleukin (IL)-12 and IL-23 (ustekinumab) has been recently approved in the United States for patients with moderate to severe Crohn’s disease who have failed treatment with anti-TNFs. However, these immunosuppressive therapeutics which focus on anti-inflammatory mechanisms or immune cells still fail to achieve long-term remission in a significant percentage of patients. This strongly underlines the need to identify novel treatment targets beyond immune suppression to treat IBD. Recent studies have revealed the critical role of intestinal epithelial cells (IECs) in the pathogenesis of IBD. Physical, biochemical and immunologic driven barrier dysfunctions of epithelial cells contribute to the development of IBD. In addition, the recent establishment of adult stem cell-derived intestinal enteroid/organoid culture technology has allowed an exciting opportunity to study human IECs comprising all normal epithelial cells. This long-term epithelial culture model can be generated from endoscopic biopsies or surgical resections and recapitulates the tissue of origin, representing a promising platform for novel drug discovery in IBD. This review describes the advantages of intestinal enteroids/organoids as a research tool for intestinal diseases, introduces studies with these models in IBD, and gives a description of the current status of therapeutic approaches in IBD. Finally, we provide an overview of the current endeavors to identify a novel drug target for IBD therapy based on studies with human enteroids/organoids and describe the challenges in using enteroids/organoids as an IBD model.
Endodontic trends by South African Dental Association members: An online survey

Aim: The aim of the study is to determine the techniques and materials used by South African dental practitioners who perform endodontic treatment in private practice and evaluate their compliance to the 2006 European Society of Endodontology (ESE) quality guidelines. Materials and Methods: An online survey was distributed to all dentists registered with the South African Dental Association (n = 3191) and prosthodontists registered with the Academy of Prosthodontics (n = 61), practicing in South Africa. Fourteen subject areas related to endodontic materials and techniques were assessed. Responses were evaluated using simple descriptive and analytical statistics. Results: The overall response rate was 7% (n = 215/3252; specialist prosthodontists 18% and general dentists 6%). Sixty-three percent of respondents (n = 122/193) did not routinely use rubber dam. The use of rubber dam and magnification was positively correlated with postgraduate endodontic qualifications (P < 0.05). Antibiotic prescription for irreversible pulpitis without systemic involvement was reported in an average of 31% of cases. Formaldehyde-containing sealers were used by 5% (n = 9/193). The majority of respondents (89%, n = 171/191) used sodium hypochlorite as a primary irrigant. Cold obturation techniques (82%, n = 159/193) were preferred over warm techniques (18%, n = 34/193), with the single-cone technique the most popular (58%, n = 112/193). Almost half preferred steroid-containing medicaments (48%, n = 92/193). Conclusion: Surveyed practitioners largely complied with the 2006 ESE guidelines. Notable exceptions including low rubber dam use, inappropriate antibiotic prescription, and the continued use of formaldehyde-containing medicaments and sealers were reported. Improved compliance to established guidelines may be achieved through the use of these results when planning ducational activities.
Antecedents for Cyberloafing - A Literature Review

The private use of the Internet via desktop and smartphones during working time, also known as cyberloafing, has become a common practice at many workplaces. While critical voices expect performance losses through such behavior, their opponents perceive of the interruptions created by cyberloafing as an opportunity to recover and continue working with increased productivity afterwards. Given the growing body of research on Internet-related employees’ opportunism, this paper presents a systematic literature review of 69 studies to identify the factors behind cyberloafing. The classification includes personality traits as well as antecedents related to the job, organization and personal life. The paper concludes with a clear picture of the kind of circumstances which tend to increase cyberloafing and which factors statistically do not seem to have any impact on the abuse of Internet during working time.
The Role of Early User Participation in Discovering Software - A Case Study from the Context of Smart Glasses

Smart glasses facilitate advanced user interaction and increase workplace efficiency through innovation. Yet, their capabilities rely on userdriven discovery of new software that harnesses its benefits. This study investigates user participation during the discovery of new software, leveraging this emergent technology. We investigate user participation during software product discovery, i.e. during early activities that precede classical development and design activities, through an in-depth longitudinal case study with two representative user organizations. The results suggest an evolutionary perspective toward the benefits of different types of user participation: 1) user as a source of information, 2) user as a co-creator, and 3) user as an innovator. Practitioners benefit from our lessons learned, validation and extension of software discovery toward the emergent technology, and recommendations to apply user-driven software discovery. We distill three lessons: evolving types of user participation, enhancing desirability through user participation, and carefully discovering software products for emergent technologies.
Do Foreign IT Workers Substitute for or Complement the Natives?

This study investigates the interaction between foreign and native information technology (IT) workers within the production function framework. Two competing hypotheses are proposed for the substitution effect and the complementarity effect between foreign and native IT workers. We further test the two hypotheses with an industry-level dataset obtained by matching the productivity data to the CPS surveys. Our preliminary findings support that foreign and native IT workers are complements rather than substitutes. The results of this study can potentially bear important theoretical and practical implications.
An Empirical Study of Customers' Behavioral Intention to Use Ridepooling Services - An Extension of the Technology Acceptance Model

Shared mobility services for passenger transportation become increasingly popular all over the world. As services like carsharing are already well-established and well-accepted, ridepooling services are at their early stage and currently within first implementations. The most critical success factor of such services is the customer acceptance. We investigate the acceptance of 115 German questionnaire respondents using and extending the Technology Acceptance Model. Results indicate that the success factors of the developed model serve as useful predictors of the behavioral intention to use ridepooling services. Perceived compatibility was identified to have the strongest impact whereas perceived ease of use and perceived safety are not relevant for accepting ridepooling services. Based on these findings, our paper provides management implications and recommendations to improve acceptance and success of ridepooling services in Germany.
Towards a Taxonomy of Platforms for Conversational Agent Design

Software that interacts with its users through natural language, so-called conversational agents (CAs), is permeating our lives with improving capabilities driven by advances in machine learning and natural language processing. For organizations, CAs have the potential to innovate and automate a variety of tasks and processes, for example in customer service or marketing and sales, yet successful design remains a major challenge. Over the last few years, a variety of platforms that offer different approaches and functionality for designing CAs have emerged. In this paper, we analyze 51 CA platforms to develop a taxonomy and empirically identify archetypes of platforms by means of a cluster analysis. Based on our analysis, we propose an extended taxonomy with eleven dimensions and three archetypes that contribute to existing work on CA design and can guide practitioners in the design of CA for their organizations.
Justification of Mass Surveillance: A Quantitative Study

Online mass surveillance by governmental organizations is omnipresent. Even though this results in a loss of privacy and further negative outcomes for individuals, a majority is justifying mass surveillance. Understanding, why this is the case is among others important for individuals, who want to decrease justification of mass surveillance. Therefore, this study aims to uncover the factors that drive this justification. Drawing on system justification theory we consider mass surveillance to be a political arrangement. Five factors were identified that potentially drive individuals’ justification of mass surveillance which are among others, perceived privacy control or perceived security. A quantitative study was carried out and the results support most of our hypotheses. With our results, we contribute to the privacy-related area in the domain of IS, by indicating that individuals consider mass surveillance not necessarily to be bad and by giving advice on how to alter the level of justification.
Investigating Barriers for the Implementation of Telemedicine Initiatives: A Systematic Review of Reviews

Telemedicine is said to change the way care is delivered. Nevertheless, it still faces barriers to overcome the pilot stage and reach a majority of patients in regular care. Although research widely exists on telemedicine barriers in isolated settings, a systematic overview to summarize key scientific contributions is missing. This paper aims to close this gap with a systematic review of already existing reviews. In sum, 98 barriers for telemedicine implementation were found and categorized depending on the factors triggering the barriers. These factors include patient, healthcare provider, culture and disease (people-related); health sector, standards/guidelines, legal framework, finance, organization and methodology (process-related); and technology (object-related). Recommendations for researchers and practitioners were drawn to overcome the barriers identified.
AI in the Workplace: The Case of Intelligent Employee Assistants

This research proposal aims to study an emerging technology that is beginning to appear in the workplace. Intelligent employee assistants (IEA) are IT artifacts that help employees via natural language to relieve employees from routine tasks, collaborates with employees, makes recommendations and performs actions. These applications are being implemented and deployed by organizations to support employees. Examples of such applications include Alexa for Business and Nokia’s Multi-purpose Intuitive Knowledge Assistant (MIKA). IEAs have the potential to disrupt the workplace as they will perform ever-increasing tasks to enhance employee performance. However, human language is ambiguous; communication is a complex process and employees may have worries about losing control over their jobs being taken over by intelligent artificial applications such as IEAs. This research proposes to investigate the interaction between employees and IEAs and study the elements that break down communication and impede performance using the transactional communication theory.
Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management

Recently a discussion has been instigated in the scientific community on whether our understanding of information management (IM) is still up to date [1]. A workshop on the concepts and methods of an additional IM perspective which intends to identify possible technology applications (by putting the primary focus on the possibilities offered by information technology rather than on the support of existing organisational functions and task structures) was held at the WI Conference 2019. This paper summarizes the conceptual input of the workshop and provides an overview of the initial workshop contributions.
A Framework of Factors Enabling Digital Transformation

This paper provides a framework of factors which positively influence a company’s ability to successfully initialize digital transformation. It was motivated by empirical data and cases which describe the phenomenon that, although a majority of organizations is aware of the necessity of engaging in digital transformation, only a small fraction can successfully initialize associated initiatives. Following a design science approach, a framework describing four categories and nine underlying factors was developed through a structured literature review, and then evaluated for its practical applicability and relevance in semi structured expert interviews. Whilst empirical data indicates that the categories defined within the initial version of the framework allow a holistic categorization of all enabling factors, the set of enabling factors deducted from literature was shown to be relevant, but not holistic.
Birds of a Feather Lodge Together?: Predicting Review Sentiment Using Social Categorization Theory

Reviews drive online sales. In a perfect world, reviews represent a way to make the market contain less friction. That is, they accurately estimate the value of products without bias from the person writing the review. However, some suggest that factors that do not represent the quality of the product alter the relationship between the review and the sale. We use Tajfel and Turner (1986)’s social categorization theory to develop a model that predicts the sentiment of the review left by a guest. We test our hypotheses using archival data about interactions on AirBnB. We find that when the host and the guest share the same ethnicity with positive stereotypes, the review is more positive. However, if the host and the guest share an ethnicity with negative stereotypes, the review is more negative. The discussion section reflects on these results with respect to theory and offers practical implications.
Privacy Everywhere: a mechanism for decision making and privacy assurance in IoT environments

Increase in number of Internet of Things (IoT) devices and the diversity of forms of interaction can make it tiring to ask the user to make a privacy decision whenever it contacts a new IoT device or some device tries to access certain information. Due to sensitivity of many of information captured by IoT devices, it is necessary that data captured by IoT devices be processed before being sent to the cloud services. This work aims to present the Privacy Everywhere mechanism for decision making and guarantees user privacy in IoT environments. In validation of mechanism, accuracy check of the Allow/Deny and Privacy Action neural networks that make up the mechanism presented an accuracy of 88.02% and 86.67%, respectively. According to the results, the Privacy Everywhere mechanism is able to help users preserve the privacy of their data in IoT environments.