Ethi(cs)quette of (Re)searching with E-friends: Clicking Towards a Social Media-driven Research Agenda

Social media increasingly shapes our professional and personal lives, leveraging its size, the potential for ubiquity, and real-time communication. Ranked the most popular social media platform by the number of subscribers, Facebook is increasingly gaining momentum as a research tool, mostly used to conduct surveys, adverts, and observation-driven research. However, Facebook’s potential for supporting consented qualitative research remains largely unexplored and deemed sometimes ethically questionable in the midst of ongoing debates around data protection rules and the ambiguity surrounding e-friendship meaning. This paper is based on an interpretative phenomenological Ph.D. study, between 2017-2020, aiming to deepen our understanding of London-based Romanian migrant entrepreneurs' experiences of social inclusion through entrepreneurship. This paper contributes to the literature on research methodology reflective practice of enabling ethical research, by outlining ethical implications of sampling via Facebook and when researching with e-friends as Facebook friends. It offers context-bound insights as guidance to researchers incorporating social media in their qualitative research The significance of this ethical research practice is discussed in terms of privacy, confidentiality, and informed consent as a cross point between GDPR regulatory framework, as universal research ethical framework, Facebook data privacy settings and the researcher’s reflective approach to mitigate ethical challenges experienced when recruiting Facebook e-friends

Reflective Argumentation

Theories of argumentation usually focus on arguments as means of persuasion, finding consensus, or justifying knowledge claims. However, the construction and visualization of arguments can also be used to clarify one's own thinking and to stimulate change of this thinking if gaps, unjustified assumptions, contradictions, or open questions can be identified. This is what I call "reflective argumentation." The objective of this paper is, first, to clarify the conditions of reflective argumentation and, second, to discuss the possibilities of argument visualization methods in supporting reflection and cognitive change. After a discussion of the cognitive problems we are facing in conflicts--obviously the area where cognitive change is hardest--the second part will, based on this, determine a set of requirements argument visualization tools should fulfill if their main purpose is stimulating reflection and cognitive change. In the third part, I will evaluate available argument visualization methods with regard to these requirements and talk about their limitations. The fourth part, then, introduces a new method of argument visualization which I call Logical Argument Mapping (LAM). LAM has specifically been designed to support reflective argumentation. Since it uses primarily deductively valid argument schemes, this design decision has to be justified with regard to goals of reflective argumentation. The fifth part, finally, provides an example of how Logical Argument Mapping could be used as a method of reflective argumentation in a political controversy

Comparing automatically detected reflective texts with human judgements

This paper reports on the descriptive results of an experiment comparing automatically detected reflective and not-reflective texts against human judgements. Based on the theory of reflective writing assessment and their operationalisation five elements of reflection were defined. For each element of reflection a set of indicators was developed, which automatically annotate texts regarding reflection based on the parameterisation with authoritative texts. Using a large blog corpus 149 texts were retrieved, which were either annotated as reflective or notreflective. An online survey was then used to gather human judgements for these texts. These two data sets were used to compare the quality of the reflection detection algorithm with human judgments. The analysis indicates the expected difference between reflective and not reflective texts

Linking business analytics to decision making effectiveness: a path model analysis

While business analytics is being increasingly used to gain data-driven insights to support decision making, little research exists regarding the mechanism through which business analytics can be used to improve decision-making effectiveness (DME) at the organizational level. Drawing on the information processing view and contingency theory, this paper develops a research model linking business analytics to organizational DME. The research model is tested using structural equation modeling based on 740 responses collected from U.K. businesses. The key findings demonstrate that business analytics, through the mediation of a data-driven environment, positively influences information processing capability, which in turn has a positive effect on DME. The findings also demonstrate that the paths from business analytics to DME have no statistical differences between large and medium companies, but some differences between manufacturing and professional service industries. Our findings contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision making. They also contribute to manager's knowledge and understanding by demonstrating how business analytics should be implemented to improve DM

Keywords of written reflection - a comparison between reflective and descriptive datasets

This study investigates reflection keywords by contrasting two datasets, one of reflective sentences and another of descriptive sentences. The log-likelihood statistic reveals several reflection keywords that are discussed in the context of a model for reflective writing. These keywords are seen as a useful building block for tools that can automatically analyse reflection in texts

A novel algorithm for dynamic student profile adaptation based on learning styles

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.E-learning recommendation systems are used to enhance student performance and knowledge by providing tailor- made services based on the students’ preferences and learning styles, which are typically stored in student profiles. For such systems to remain effective, the profiles need to be able to adapt and reflect the students’ changing behaviour. In this paper, we introduce new algorithms that are designed to track student learning behaviour patterns, capture their learning styles, and maintain dynamic student profiles within a recommendation system (RS). This paper also proposes a new method to extract features that characterise student behaviour to identify students’ learning styles with respect to the Felder-Silverman learning style model (FSLSM). In order to test the efficiency of the proposed algorithm, we present a series of experiments that use a dataset of real students to demonstrate how our proposed algorithm can effectively model a dynamic student profile and adapt to different student learning behaviour. The results revealed that the students could effectively increase their learning efficiency and quality for the courses when the learning styles are identified, and proper recommendations are made by using our method

DESIGN AS A FUNCTIONAL LEADER: A case study of Philips to investigate the potential of design as a leading functional discipline

This research investigates the role of design as a functional leader in multinational industries, to drive innovation successfully at a strategic level. It involved a detailed case study of the innovation process, and practices within Philips Design based in Eindhoven, The Netherlands, where design is a key decision making function within the company but not yet recognised as a leading discipline at strategic level. Philips Design wanted to use design research to build an integrated map of its actual practices and correlate these with other corporate innovation practices, to help establish strategic recognition for their value. The doctoral challenge was to explicate the process and determine whether the findings have generic capacity to support the role of design as a functional leading discipline. The investigation integrates an iterative loop of; abductive reasoning of design thinking and inductive reasoning of management thinking in an action research cycle. The case study was part of an empirical enquiry, where the researcher became a participatory observer at Philips Design, conducting one-on-one interviews for data collection and refining their analysis using a Delphi Technique. Three other multinational organisations were explored to take into account how each perceives the contribution of design and the different roles it plays in their organisation. Data triangulation was also used to validate findings with a third party expert. The research contributes to knowledge by confirming the conditions for design to act as a leading functional discipline. It shows that design cannot be the only functional lead for a multinational organisation. It identifies the major reason for this as the difference between thinkers trying to find viable options for the future and practitioners trying to defend the core business in their organisation, resulting in a gap between strategy and operation. The research further elaborates on the reasons for the gap to exist through qualitative conceptual relationships between designer behaviour and organisational culture in the different innovation cycles that exist in the organisation

Model Driven Mutation Applied to Adaptative Systems Testing

Dynamically Adaptive Systems modify their behav- ior and structure in response to changes in their surrounding environment and according to an adaptation logic. Critical sys- tems increasingly incorporate dynamic adaptation capabilities; examples include disaster relief and space exploration systems. In this paper, we focus on mutation testing of the adaptation logic. We propose a fault model for adaptation logics that classifies faults into environmental completeness and adaptation correct- ness. Since there are several adaptation logic languages relying on the same underlying concepts, the fault model is expressed independently from specific adaptation languages. Taking benefit from model-driven engineering technology, we express these common concepts in a metamodel and define the operational semantics of mutation operators at this level. Mutation is applied on model elements and model transformations are used to propagate these changes to a given adaptation policy in the chosen formalism. Preliminary results on an adaptive web server highlight the difficulty of killing mutants for adaptive systems, and thus the difficulty of generating efficient tests.Comment: IEEE International Conference on Software Testing, Verification and Validation, Mutation Analysis Workshop (Mutation 2011), Berlin : Allemagne (2011