46 research outputs found

    International Academic Symposium of Social Science 2022

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    This conference proceedings gathers work and research presented at the International Academic Symposium of Social Science 2022 (IASSC2022) held on July 3, 2022, in Kota Bharu, Kelantan, Malaysia. The conference was jointly organized by the Faculty of Information Management of Universiti Teknologi MARA Kelantan Branch, Malaysia; University of Malaya, Malaysia; Universitas Pembangunan Nasional Veteran Jakarta, Indonesia; Universitas Ngudi Waluyo, Indonesia; Camarines Sur Polytechnic Colleges, Philippines; and UCSI University, Malaysia. Featuring experienced keynote speakers from Malaysia, Australia, and England, this proceeding provides an opportunity for researchers, postgraduate students, and industry practitioners to gain knowledge and understanding of advanced topics concerning digital transformations in the perspective of the social sciences and information systems, focusing on issues, challenges, impacts, and theoretical foundations. This conference proceedings will assist in shaping the future of the academy and industry by compiling state-of-the-art works and future trends in the digital transformation of the social sciences and the field of information systems. It is also considered an interactive platform that enables academicians, practitioners and students from various institutions and industries to collaborate

    Development of a Social Engineering eXposure Index (SEXI) using Open-Source Personal Information

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    Millions of people willingly expose their lives via Internet technologies every day, and even the very few ones who refrain from the use of the Internet find themselves exposed through data breaches. Billions of private information records are exposed through the Internet. Marketers gather personal preferences to influence shopping behavior. Providers gather personal information to deliver enhanced services, and underground hacker networks contain repositories of immense data sets. Few users of Internet technologies have considered where their information is going or who has access to it. Even fewer are aware of how decisions made in their own lives expose significant pieces of information, which can be used by cyber hackers to harm the very organizations with whom they are affiliated. While this threat can affect any person holding any position at an organization, upper management poses a significantly higher risk due to their level of access to critical data and finances targeted by cybercrime. The goal of this research was to develop and validate a Social Engineering eXposure Index (SEXI)ℱ using Open-Source Personal Information (OSPI) to assist in identifying and classifying social engineering vulnerabilities. This study combined an expert panel using the Delphi method, developmental research, and quantitative data collection. The expert panel categorized and assessed information privacy components into three identifiability groups, subsequently used to develop an algorithm that formed the basis for a SEXI. Validation of the algorithm used open-source personal information found on the Internet for 50 executives of Fortune 500 organizations and 50 Hollywood celebrities. The exposure of each executive and persona was quantified and the collected data were evaluated, analyzed, and presented in an anonymous aggregated form. Phase 1 of this study developed and evaluated the SEXI benchmarking instrument via an expert panel using the Delphi expert methodology. During the first round, 3,531 data points were collected with 1,530 having to do with the demographics, qualifications, experience, and working environments of the panel members as well as 2,001 attributing levels of exposure to personal information. The second Delphi round presented the panel members with the feedback of the first-round tasking them with categorizing personal information, resulting in 1,816 data points. Phase 2 of this study used the composition, weights, and categories of personal information from Phase 1 in the development of a preliminary SEXI benchmarking instrument comprised of 105 personal information items. Simulated data was used to validate the instrument prior to the data collection. Before initiating Phase 3, the preliminary SEXI benchmarking instrument was fully tested to verify the accuracy of recorded data. Phase 3 began with discovering, evaluating, and validating repositories of publicly available data sources of personal information. Approximately two dozen sources were used to collect 11,800 data points with the SEXI benchmarking index. Upon completion of Phase 3, data analysis of the Fortune 500 executives and Hollywood personas used to validate the SEXI benchmarking index. Data analysis was conducted in Phase 3 by one-way Analysis of Variance (ANOVA). The results of the ANOVA data analysis from Phase 3 revealed that age, gender, marital status, and military/police experience were not significant in showing SEXI differences. Additionally, income, estimated worth, industry, organization position, philanthropic contributions are significant, showing differences in SEXI. The most significant differences in SEXI in this research study were found with writers and chief information officers. A t-test was performed to compare the Fortune 500 executives and the Hollywood personas. The results of the t-test data analysis showed a significant difference between the two groups in that Hollywood Personas had a higher SEXI than the Fortune 500 Executives suggesting increased exposure due to OSPI. The results of this research study established, categorized, and validated a quantifiable measurement of personal information. Moreover, the results of this research study validated that the SEXI benchmarking index could be used to assess an individual’s exposure to social engineering due to publicly available personal information. As organizations and public figures rely on Internet technologies understanding the level of personal information exposure is critical is protecting against social engineering attacks. Furthermore, assessing personal information exposure could provide an organization insight into exposed personal information facilitating further mitigation of threats or potential social engineering attack vectors. Discussions and implications for future research are provided

    The Effect of Personality on SMS Phishing Vulnerability

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    In the last decade, cybercrime has sought to bypass technical security in place by focusing in people. Recently more attention has been given to the security of mobile devices. However, very little research has investigated the human factors of mobile phishing. This thesis investigates human aspects in relation to SMS phishing. Based on our findings, we present recommendations and opportunities for research that will help the security community to better understand phishing attacks and educate mobile users against them. The first study reports the results of a qualitative investigation of what people think and feel about mobile security. The study presents this investigation temporally by means of a series of interviews performed sequentially in multiple stages. A variation was noted in the users' responses and a theory was developed to explain such variation. The study proposed a grounded theory that suggested that human security attitude is strongly influenced by their agreeableness, conscientiousness and extraversion personality traits. The developed theory suggested that this general behaviour is moderated by individuals’ knowledge and past error-in-judgement experiences. The theory was tested via three further studies (one lab study and two experimental studies). The results suggest that the personality traits Assertiveness and Extraversion affect humans’ phishing vulnerability. To the best of our knowledge, the three studies are the first empirical studies of the human aspects involved in SMS phishing. The thesis embraces both quantitative and qualitative analysis approaches. The quantitative analysis helped in isolating the personality traits Assertiveness and Extraversion while the qualitative analysis helped us understand how individuals reason about their behaviour

    A sociomaterial account of assignment writing in Further Education classrooms

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    This PhD research explores assignment writing tasks in three separate Further Education classroom contexts. I approach the assignments as practical controversies as learners navigate their way through a course of study. Specifically, I attend to the ecology of digital literacy practices which emerge through the completion of the assignments by problematising the impact of cyberspace on classroom activities, as the learners undertake their work assisted by whatever digital media are to hand. I argue that connectivity of the Internet and deployment of digital media in classrooms contribute to emergent sociomaterial assemblages, or ‘actor-networks’, exploration and elucidation of which are key to understanding the literacy practices which instantiate them. This research addresses what these new sociomaterial assemblages look like, and the types of digital literacy practices arising from them. Drawing on recent work in Literacy Studies and actor-network theory, I uncover the complex and close relationship between the personal/informal literacy practices of learners and the digital demands imposed by normative classroom culture and policies. More broadly, I show that an assignment is an ‘assemblage’ which is tied together by political and managerial decisions, economic imperatives, teachers’ aims and practices, learner habits of use, material artefacts and their properties, etc. All of these agencies shape a certain choreography of digital literacy practices arising during classroom tasks; practices which can instantiate a tension between a normative classroom dramaturgy and a more anarchic learner bricolage. Findings of this research will inform policies on digital learning and benefit educational practice through in depth accounts of the digital habits and practices of learners’ life worlds, and how they align with classroom assignment tasks. By understanding learner practices it is possible to better understand digital innovations in education, the extent to which learners embrace or avoid imposed technologies, and how such practices re-shape assignments as evolving pedagogic forms

    Mobile Technology for Language Learning and Instruction: Investigating Beliefs and Attitudes of Indonesian EFL Preservice Teachers

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    This study is primarily aimed to investigate beliefs and attitudes of Indonesian EFL preservice teachers toward the use of mobile devices such as smartphones or tablets for learning and instructional practice in Indonesia. Furthermore, this phenomenological study attempted to reveal the factors affecting these two constructs from 20 Indonesian EFL preservice teachers through semi-structured interviews. The findings revealed participants’ beliefs that mobile devices could positively contribute to the development of language performance as learning tools and the development of language instruction as instructional tools. Regarding attitudes of EFL preservice teachers toward the use of mobile devices for learning and teaching, this study revealed mixed responses. As learning tools, all participants expressed their positive attitudes toward this technology and intention to use this technology more intensively. As for teaching tools, the majority of the participants expressed their negative attitudes which were reflected in their disappointment through their experience during their student teaching program and their lack of interest to adopt this technology for their future classes. However, they acknowledged that this technology was helpful to facilitate online learning and agreed that this technology would become more popular in the future. Analysis of the data also revealed factors affecting beliefs and attitudes of preservice teachers toward the use of mobile devices as learning and instructional tools comprising perceived ease of use and perceived usefulness and other influencing elements of self-efficacy: enactive mastery, vicarious experience, and physiological arousal. Finally, this study presents implications and recommendations which can be a reference to optimize the integrated mobile technology for class instruction and identifies which aspects in the implementation of mobile technology that require further investigation

    An analysis of high school students\u27 self-efficacy in second language acquisition through digital language lab learning: Exploring new pathways to proficiency

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    Students are often faced with barriers acquiring a second language due to various factors such as language anxiety, learning differences, and a lack of speaking time with the language. The purposes of this qualitative study were to: a) determine students\u27 perceptions of the effectiveness of a digital language lab on their self-efficacy in second language acquisition at the secondary level, and b) discern teachers\u27 perceptions of the effectiveness of the lab as well as recommendations for best practices in teacher training and implementation. Twenty-seven Italian and Spanish students and 12 world language teachers from two fairly rural high schools in Northeastern United States comprised the participants in this qualitative study. Data sources included: student interviews, a student survey, a teacher questionnaire, class observations, and material culture. Using grounded theory, it became evident students\u27 self-efficacy in language acquisition could be positively influenced for various leveled learners via practice opportunities available with the lab. Furthermore, educators shared lessons, created user guides, and taught others how to use the program. Thus, the study revealed not only the manner a blended resource provided students an anxiety-free tool to explore the target language, but also it showed how teachers embraced an opportunity to train other teachers as a preferred model of professional development when challenged with implementing a new technology throughout world language classrooms

    Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

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    Erschienen bei: universi - UniversitĂ€tsverlag Siegen. - ISBN: 978-3-96182-063-4Aus dem Inhalt: Track 1: Produktion & Cyber-Physische Systeme Requirements and a Meta Model for Exchanging Additive Manufacturing Capacities Service Systems, Smart Service Systems and Cyber- Physical Systems—What’s the difference? Towards a Unified Terminology Developing an Industrial IoT Platform – Trade-off between Horizontal and Vertical Approaches Machine Learning und Complex Event Processing: Effiziente Echtzeitauswertung am Beispiel Smart Factory Sensor retrofit for a coffee machine as condition monitoring and predictive maintenance use case Stakeholder-Analyse zum Einsatz IIoT-basierter Frischeinformationen in der Lebensmittelindustrie Towards a Framework for Predictive Maintenance Strategies in Mechanical Engineering - A Method-Oriented Literature Analysis Development of a matching platform for the requirement-oriented selection of cyber physical systems for SMEs Track 2: Logistic Analytics An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model Modeling Delay Propagation and Transmission in Railway Networks What is the impact of company specific adjustments on the acceptance and diffusion of logistic standards? Robust Route Planning in Intermodal Urban Traffic Track 3: Unternehmensmodellierung & Informationssystemgestaltung (Enterprise Modelling & Information Systems Design) Work System Modeling Method with Different Levels of Specificity and Rigor for Different Stakeholder Purposes Resolving Inconsistencies in Declarative Process Models based on Culpability Measurement Strategic Analysis in the Realm of Enterprise Modeling – On the Example of Blockchain-Based Initiatives for the Electricity Sector Zwischenbetriebliche Integration in der Möbelbranche: Konfigurationen und Einflussfaktoren Novices’ Quality Perceptions and the Acceptance of Process Modeling Grammars Entwicklung einer Definition fĂŒr Social Business Objects (SBO) zur Modellierung von Unternehmensinformationen Designing a Reference Model for Digital Product Configurators Terminology for Evolving Design Artifacts Business Role-Object Specification: A Language for Behavior-aware Structural Modeling of Business Objects Generating Smart Glasses-based Information Systems with BPMN4SGA: A BPMN Extension for Smart Glasses Applications Using Blockchain in Peer-to-Peer Carsharing to Build Trust in the Sharing Economy Testing in Big Data: An Architecture Pattern for a Development Environment for Innovative, Integrated and Robust Applications Track 4: Lern- und Wissensmanagement (e-Learning and Knowledge Management) eGovernment Competences revisited – A Literature Review on necessary Competences in a Digitalized Public Sector Say Hello to Your New Automated Tutor – A Structured Literature Review on Pedagogical Conversational Agents Teaching the Digital Transformation of Business Processes: Design of a Simulation Game for Information Systems Education Conceptualizing Immersion for Individual Learning in Virtual Reality Designing a Flipped Classroom Course – a Process Model The Influence of Risk-Taking on Knowledge Exchange and Combination Gamified Feedback durch Avatare im Mobile Learning Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks Track 5: Data Science & Business Analytics Matching with Bundle Preferences: Tradeoff between Fairness and Truthfulness Applied image recognition: guidelines for using deep learning models in practice Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting Reading Between the Lines of Qualitative Data – How to Detect Hidden Structure Based on Codes Online Auctions with Dual-Threshold Algorithms: An Experimental Study and Practical Evaluation Design Features of Non-Financial Reward Programs for Online Reviews: Evaluation based on Google Maps Data Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics Leveraging Unstructured Image Data for Product Quality Improvement Decision Support for Real Estate Investors: Improving Real Estate Valuation with 3D City Models and Points of Interest Knowledge Discovery from CVs: A Topic Modeling Procedure Online Product Descriptions – Boost for your Sales? EntscheidungsunterstĂŒtzung durch historienbasierte Dienstreihenfolgeplanung mit Pattern A Semi-Automated Approach for Generating Online Review Templates Machine Learning goes Measure Management: Leveraging Anomaly Detection and Parts Search to Improve Product-Cost Optimization Bedeutung von Predictive Analytics fĂŒr den theoretischen Erkenntnisgewinn in der IS-Forschung Track 6: Digitale Transformation und Dienstleistungen Heuristic Theorizing in Software Development: Deriving Design Principles for Smart Glasses-based Systems Mirroring E-service for Brick and Mortar Retail: An Assessment and Survey Taxonomy of Digital Platforms: A Platform Architecture Perspective Value of Star Players in the Digital Age Local Shopping Platforms – Harnessing Locational Advantages for the Digital Transformation of Local Retail Outlets: A Content Analysis A Socio-Technical Approach to Manage Analytics-as-a-Service – Results of an Action Design Research Project Characterizing Approaches to Digital Transformation: Development of a Taxonomy of Digital Units Expectations vs. Reality – Benefits of Smart Services in the Field of Tension between Industry and Science Innovation Networks and Digital Innovation: How Organizations Use Innovation Networks in a Digitized Environment Characterising Social Reading Platforms— A Taxonomy-Based Approach to Structure the Field Less Complex than Expected – What Really Drives IT Consulting Value Modularity Canvas – A Framework for Visualizing Potentials of Service Modularity Towards a Conceptualization of Capabilities for Innovating Business Models in the Industrial Internet of Things A Taxonomy of Barriers to Digital Transformation Ambidexterity in Service Innovation Research: A Systematic Literature Review Design and success factors of an online solution for cross-pillar pension information Track 7: IT-Management und -Strategie A Frugal Support Structure for New Software Implementations in SMEs How to Structure a Company-wide Adoption of Big Data Analytics The Changing Roles of Innovation Actors and Organizational Antecedents in the Digital Age Bewertung des Kundennutzens von Chatbots fĂŒr den Einsatz im Servicedesk Understanding the Benefits of Agile Software Development in Regulated Environments Are Employees Following the Rules? On the Effectiveness of IT Consumerization Policies Agile and Attached: The Impact of Agile Practices on Agile Team Members’ Affective Organisational Commitment The Complexity Trap – Limits of IT Flexibility for Supporting Organizational Agility in Decentralized Organizations Platform Openness: A Systematic Literature Review and Avenues for Future Research Competence, Fashion and the Case of Blockchain The Digital Platform Otto.de: A Case Study of Growth, Complexity, and Generativity Track 8: eHealth & alternde Gesellschaft Security and Privacy of Personal Health Records in Cloud Computing Environments – An Experimental Exploration of the Impact of Storage Solutions and Data Breaches Patientenintegration durch Pfadsysteme Digitalisierung in der StressprĂ€vention – eine qualitative Interviewstudie zu Nutzenpotenzialen User Dynamics in Mental Health Forums – A Sentiment Analysis Perspective Intent and the Use of Wearables in the Workplace – A Model Development Understanding Patient Pathways in the Context of Integrated Health Care Services - Implications from a Scoping Review Understanding the Habitual Use of Wearable Activity Trackers On the Fit in Fitness Apps: Studying the Interaction of Motivational Affordances and Users’ Goal Orientations in Affecting the Benefits Gained Gamification in Health Behavior Change Support Systems - A Synthesis of Unintended Side Effects Investigating the Influence of Information Incongruity on Trust-Relations within Trilateral Healthcare Settings Track 9: Krisen- und KontinuitĂ€tsmanagement Potentiale von IKT beim Ausfall kritischer Infrastrukturen: Erwartungen, Informationsgewinnung und Mediennutzung der Zivilbevölkerung in Deutschland Fake News Perception in Germany: A Representative Study of People’s Attitudes and Approaches to Counteract Disinformation Analyzing the Potential of Graphical Building Information for Fire Emergency Responses: Findings from a Controlled Experiment Track 10: Human-Computer Interaction Towards a Taxonomy of Platforms for Conversational Agent Design Measuring Service Encounter Satisfaction with Customer Service Chatbots using Sentiment Analysis Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment Erfolgsfaktoren von Augmented-Reality-Applikationen: Analyse von Nutzerrezensionen mit dem Review-Mining-Verfahren Designing Dynamic Decision Support for Electronic Requirements Negotiations Who is Stressed by Using ICTs? A Qualitative Comparison Analysis with the Big Five Personality Traits to Understand Technostress Walking the Middle Path: How Medium Trade-Off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents Theory-Based Affordances of Utilitarian, Hedonic and Dual-Purposed Technologies: A Literature Review Eliciting Customer Preferences for Shopping Companion Apps: A Service Quality Approach The Role of Early User Participation in Discovering Software – A Case Study from the Context of Smart Glasses The Fluidity of the Self-Concept as a Framework to Explain the Motivation to Play Video Games Heart over Heels? An Empirical Analysis of the Relationship between Emotions and Review Helpfulness for Experience and Credence Goods Track 11: Information Security and Information Privacy Unfolding Concerns about Augmented Reality Technologies: A Qualitative Analysis of User Perceptions To (Psychologically) Own Data is to Protect Data: How Psychological Ownership Determines Protective Behavior in a Work and Private Context Understanding Data Protection Regulations from a Data Management Perspective: A Capability-Based Approach to EU-GDPR On the Difficulties of Incentivizing Online Privacy through Transparency: A Qualitative Survey of the German Health Insurance Market What is Your Selfie Worth? A Field Study on Individuals’ Valuation of Personal Data Justification of Mass Surveillance: A Quantitative Study An Exploratory Study of Risk Perception for Data Disclosure to a Network of Firms Track 12: Umweltinformatik und nachhaltiges Wirtschaften KommunikationsfĂ€den im Nadelöhr – Fachliche Prozessmodellierung der Nachhaltigkeitskommunikation am Kapitalmarkt Potentiale und Herausforderungen der Materialflusskostenrechnung Computing Incentives for User-Based Relocation in Carsharing Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District Substitution of hazardous chemical substances using Deep Learning and t-SNE A Hierarchy of DSMLs in Support of Product Life-Cycle Assessment A Survey of Smart Energy Services for Private Households Door-to-Door Mobility Integrators as Keystone Organizations of Smart Ecosystems: Resources and Value Co-Creation – A Literature Review Ein EntscheidungsunterstĂŒtzungssystem zur ökonomischen Bewertung von Mieterstrom auf Basis der Clusteranalyse Discovering Blockchain for Sustainable Product-Service Systems to enhance the Circular Economy Digitale RĂŒckverfolgbarkeit von Lebensmitteln: Eine verbraucherinformatische Studie Umweltbewusstsein durch audiovisuelles Content Marketing? Eine experimentelle Untersuchung zur Konsumentenbewertung nachhaltiger Smartphones Towards Predictive Energy Management in Information Systems: A Research Proposal A Web Browser-Based Application for Processing and Analyzing Material Flow Models using the MFCA Methodology Track 13: Digital Work - Social, mobile, smart On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work The Potential of Augmented Reality for Improving Occupational First Aid Prevent a Vicious Circle! The Role of Organizational IT-Capability in Attracting IT-affine Applicants Good, Bad, or Both? Conceptualization and Measurement of Ambivalent User Attitudes Towards AI A Case Study on Cross-Hierarchical Communication in Digital Work Environments ‘Show Me Your People Skills’ - Employing CEO Branding for Corporate Reputation Management in Social Media A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change The More the Merrier? The Effect of Size of Core Team Subgroups on Success of Open Source Projects The Impact of Anthropomorphic and Functional Chatbot Design Features in Enterprise Collaboration Systems on User Acceptance Digital Feedback for Digital Work? Affordances and Constraints of a Feedback App at InsurCorp The Effect of Marker-less Augmented Reality on Task and Learning Performance Antecedents for Cyberloafing – A Literature Review Internal Crowd Work as a Source of Empowerment - An Empirical Analysis of the Perception of Employees in a Crowdtesting Project Track 14: GeschĂ€ftsmodelle und digitales Unternehmertum Dividing the ICO Jungle: Extracting and Evaluating Design Archetypes Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services Understanding the Role of Data for Innovating Business Models: A System Dynamics Perspective Business Model Innovation and Stakeholder: Exploring Mechanisms and Outcomes of Value Creation and Destruction Business Models for Internet of Things Platforms: Empirical Development of a Taxonomy and Archetypes Revitalizing established Industrial Companies: State of the Art and Success Principles of Digital Corporate Incubators When 1+1 is Greater than 2: Concurrence of Additional Digital and Established Business Models within Companies Special Track 1: Student Track Investigating Personalized Price Discrimination of Textile-, Electronics- and General Stores in German Online Retail From Facets to a Universal Definition – An Analysis of IoT Usage in Retail Is the Technostress Creators Inventory Still an Up-To-Date Measurement Instrument? Results of a Large-Scale Interview Study Application of Media Synchronicity Theory to Creative Tasks in Virtual Teams Using the Example of Design Thinking TrustyTweet: An Indicator-based Browser-Plugin to Assist Users in Dealing with Fake News on Twitter Application of Process Mining Techniques to Support Maintenance-Related Objectives How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce Business Process Compliance and Blockchain: How Does the Ethereum Blockchain Address Challenges of Business Process Compliance? Improving Business Model Configuration through a Question-based Approach The Influence of Situational Factors and Gamification on Intrinsic Motivation and Learning Evaluation von ITSM-Tools fĂŒr Integration und Management von Cloud-Diensten am Beispiel von ServiceNow How Software Promotes the Integration of Sustainability in Business Process Management Criteria Catalog for Industrial IoT Platforms from the Perspective of the Machine Tool Industry Special Track 3: Demos & Prototyping Privacy-friendly User Location Tracking with Smart Devices: The BeaT Prototype Application-oriented robotics in nursing homes Augmented Reality for Set-up Processe Mixed Reality for supporting Remote-Meetings Gamification zur Motivationssteigerung von Werkern bei der Betriebsdatenerfassung Automatically Extracting and Analyzing Customer Needs from Twitter: A “Needmining” Prototype GaNEsHA: Opportunities for Sustainable Transportation in Smart Cities TUCANA: A platform for using local processing power of edge devices for building data-driven services Demonstrator zur Beschreibung und Visualisierung einer kritischen Infrastruktur Entwicklung einer alltagsnahen persuasiven App zur Bewegungsmotivation fĂŒr Ă€ltere Nutzerinnen und Nutzer A browser-based modeling tool for studying the learning of conceptual modeling based on a multi-modal data collection approach Exergames & Dementia: An interactive System for People with Dementia and their Care-Network Workshops Workshop Ethics and Morality in Business Informatics (Workshop Ethik und Moral in der Wirtschaftsinformatik – EMoWI’19) Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates Report of the Workshop on Concepts and Methods of Identifying Digital Potentials in Information Management Control of Systemic Risks in Global Networks - A Grand Challenge to Information Systems Research Die Mitarbeiter von morgen - Kompetenzen kĂŒnftiger Mitarbeiter im Bereich Business Analytics Digitaler Konsum: Herausforderungen und Chancen der Verbraucherinformati

    A COMPARISON BETWEEN MOTIVATIONS AND PERSONALITY TRAITS IN RELIGIOUS TOURISTS AND CRUISE SHIP TOURISTS

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    The purpose of this paper is to analyze the motivations and the personality traits that characterize tourists who choose religious travels versus cruises. Participating in the research were 683 Italian tourists (345 males and 338 females, age range 18–63 years); 483 who went to a pilgrimage travel and 200 who chose a cruise ship in the Mediterranean Sea. Both groups of tourists completed the Travel Motivation Scale and the Big Five Questionnaire. Results show that different motivations and personality traits characterize the different types of tourists and, further, that motivations for traveling are predicted by specific —some similar, other divergent— personality trait
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