scholarly journals On the Potency of Online User Representation: Insights from the Sharing Economy

2021 ◽  
pp. 167-181
Author(s):  
Timm Teubner ◽  
Marc T. P. Adam ◽  
Florian Hawlitschek
Keyword(s):  
Social Presence ◽  
Sharing Economy ◽  
User Profiles ◽  
Systems Research ◽  
Online Platforms ◽  
Information Systems Research ◽  
Underlying Mechanisms ◽  
Future Work ◽  
Systematic Framework

AbstractOnline user representation (UR) is a cornerstone of platform-mediated interactions within the sharing economy. While the general usefulness of UR artifacts for facilitating online and offline interactions is widely acknowledged and understood, the underlying mechanisms and operating principles often require a more detailed analysis. In this chapter, we thus introduce a systematic framework grounded in signaling and social presence theory for analyzing UR artifacts for online platforms in general—and the sharing economy in particular. We apply our framework as a structural lens in a case study on user profiles on Airbnb, unveiling structural similarities and differences between the opposing market sides. We discuss our findings against the backdrop of emerging information systems research directions and suggest paths for future work on the sharing economy.

scholarly journals Towards a Framework of Literature Review Process in Support of Information Systems Research

10.28945/2980 ◽  
2006 ◽  
Author(s):  
Yair Levy ◽  
Timothy J. Ellis
Keyword(s):  
Information Systems ◽  
Literature Review ◽  
Data Processing ◽  
Review Process ◽  
Target Audience ◽  
Systematic Data ◽  
Systems Research ◽  
Information Systems Research ◽  
Future Work ◽  
Blooms Taxonomy

This paper introduces an initial effort towards developing a framework for writing an effective literature review. The target audience for the framework are novice IS researchers or other researchers who are constantly struggling with the development of an effective literature-based foundation for the proposed research. The proposed framework follows the systematic data processing approach comprised of three major stages: 1) inputs (literature gathering and screening), 2) processing (Blooms Taxonomy), and 3) outputs (writing the review). This paper provides the rationale for developing a solid literature review and addresses the central stage, processing the literature. The paper concludes by providing arguments for the value of an effective literature review as well as implications for future work in this proposed framework.

Qualitative Research in Information Systems

2011 ◽  
pp. 291-304 ◽  
Author(s):  
M. Gordon Hunter
Keyword(s):  
Qualitative Research ◽  
Information Systems ◽  
Narrative Inquiry ◽  
Research Methods ◽  
Representative Sample ◽  
Qualitative Research Methods ◽  
Systems Research ◽  
Information Systems Research ◽  
Research Questions

The purpose of this chapter is to provide the researcher, who already is inclined to apply qualitative research, with an overview of methods. A representative sample of qualitative research methods is presented, which may be employed when conducting information systems research. These methods include Action Research, Case Study, Ethnography, Grounded Theory, and Narrative Inquiry. Examples of these research methods are also included, which provide a description of the method and references to more detailed presentations. Researchers should thoroughly explore these methods and become fully cognizant of when to appropriately apply each method. It is important to ensure that the chosen method addresses the research questions and supports the research objectives.

Applied Multi-Case Research in a Mixed-Method Research Project

2009 ◽  
pp. 120-139 ◽  
Author(s):  
Slinger Jansen
Keyword(s):  
Information System ◽  
Information Systems ◽  
Mixed Method ◽  
Research Area ◽  
Mixed Method Research ◽  
Research Project ◽  
Case Research ◽  
Systems Research ◽  
Information Systems Research

Even though information systems is a maturing research area, information systems case study reports generally lack extensive method descriptions, validity defense, and are rarely conducted within a multicase research project. This reduces the ability to build theory in information systems research using case study reports. In this chapter we offer guidelines, examples, and improvements for multicase studies. If information system researchers stick to these guidelines, case study reports and papers will get published more often, improving the rapidly maturing research area of information systems.

scholarly journals Decision-Making Enhancement in a Big Data Environment: Application of the K-Means Algorithm to Mixed Data

2019 ◽  
Vol 9 (4) ◽  
pp. 293-302
Author(s):  
Oded Koren ◽  
Carina Antonia Hallin ◽  
Nir Perel ◽  
Dror Bendet
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Mixed Data ◽  
Systems Research ◽  
Information Systems Research ◽  
Effective Decision ◽  
Data Ecosystem ◽  
Effective Decision Making ◽  
Business Requirements

Abstract Big data research has become an important discipline in information systems research. However, the flood of data being generated on the Internet is increasingly unstructured and non-numeric in the form of images and texts. Thus, research indicates that there is an increasing need to develop more efficient algorithms for treating mixed data in big data for effective decision making. In this paper, we apply the classical K-means algorithm to both numeric and categorical attributes in big data platforms. We first present an algorithm that handles the problem of mixed data. We then use big data platforms to implement the algorithm, demonstrating its functionalities by applying the algorithm in a detailed case study. This provides us with a solid basis for performing more targeted profiling for decision making and research using big data. Consequently, the decision makers will be able to treat mixed data, numerical and categorical data, to explain and predict phenomena in the big data ecosystem. Our research includes a detailed end-to-end case study that presents an implementation of the suggested procedure. This demonstrates its capabilities and the advantages that allow it to improve the decision-making process by targeting organizations’ business requirements to a specific cluster[s]/profiles[s] based on the enhancement outcomes.

Understanding Collaboration Success in Context of Cognitive and Social Presence

2011 ◽  
Vol 1 (3) ◽  
pp. 18-33 ◽  
Author(s):  
Amit V. Deokar ◽  
Thomas O. Meservy ◽  
Joel H. Helquist ◽  
John Kruse
Keyword(s):  
Information Systems ◽  
Social Presence ◽  
Exploratory Study ◽  
Cognitive Presence ◽  
Systems Research ◽  
Information Systems Research ◽  
Systems Collaboration ◽  
E Learning ◽  
Collaborative Efforts

Collaboration and the success of collaborative efforts has been the focus of much information systems research. Recent measures of collaboration success include effectiveness, efficiency, productivity, commitment, satisfaction with the process, and satisfaction with the outcome. While the possible antecedents of collaboration success are varied, this paper suggests that constructs from the e-learning literature that evolved independently from the information systems collaboration literature can be used to explain differences in perceived collaboration success. Results from a recent exploratory study demonstrate that cognitive presence and social presence explain a large amount of the variance of different collaboration success metrics.

Understanding Collaboration Success in Context of Cognitive and Social Presence

2013 ◽  
pp. 91-107
Author(s):  
Amit V. Deokar ◽  
Thomas O. Meservy ◽  
Joel H. Helquist ◽  
John Kruse
Keyword(s):  
Information Systems ◽  
Social Presence ◽  
Exploratory Study ◽  
Cognitive Presence ◽  
Systems Research ◽  
Information Systems Research ◽  
Systems Collaboration ◽  
E Learning ◽  
Collaborative Efforts

Collaboration and the success of collaborative efforts has been the focus of much information systems research. Recent measures of collaboration success include effectiveness, efficiency, productivity, commitment, satisfaction with the process, and satisfaction with the outcome. While the possible antecedents of collaboration success are varied, this paper suggests that constructs from the e-learning literature that evolved independently from the information systems collaboration literature can be used to explain differences in perceived collaboration success. Results from a recent exploratory study demonstrate that cognitive presence and social presence explain a large amount of the variance of different collaboration success metrics.

Sustainable Competitive Advantage in E-Commerce and the Role of the Enterprise System

2013 ◽  
pp. 303-319
Author(s):  
Petra Schubert ◽  
Susan P. Williams ◽  
Ralf Woelfle
Keyword(s):  
Competitive Advantage ◽  
Research Data ◽  
Competitive Advantages ◽  
Sustainable Competitive Advantage ◽  
Resource Based View ◽  
Systems Research ◽  
Information Systems Research ◽  
Sustainable Competitive Advantages

Developing and sustaining a competitive advantage from the use of information technology is a topic of concern for information systems research. Mata et al. (1995) present a model that is founded on the resource-based view of the firm. The model is used to discuss factors that lead to competitive advantage in e-commerce companies. This paper explores factors that enable sustainable competitive advantages in B2C retailing. The analysis is based on a single in-depth case study of an Internet pioneer company (LeShop), which was observed by the authors since its inception more than 10 years ago. The research data stems from a series of interviews with managers at LeShop as well as two case studies about the company from two different points in time (2000 and 2009). LeShop is an online pioneer, which began selling groceries on the Internet in Switzerland in April 1998. After a turbulent few years, LeShop is now one of the few successful e-commerce suppliers in the supermarket segment worldwide. The discussion includes an analysis of further critical resources of the company from a resource-based view.

scholarly journals Using Interpretive Qualitative Case Studies for Exploratory Research in Doctoral Studies: A Case of Information Systems Research in Small and Medium Enterprises

10.28945/2339 ◽  
2015 ◽  
Vol 10 ◽  
pp. 535-550 ◽  
Author(s):  
Shana R. Ponelis
Keyword(s):  
Information Systems ◽  
Case Studies ◽  
Doctoral Students ◽  
Research Training ◽  
Research Paradigm ◽  
Case Study Method ◽  
Qualitative Case Studies ◽  
Systems Research ◽  
Information Systems Research

The use of the case study method has gained mainstream acceptance in both entrepreneurship and information systems research to develop conceptual and theoretical models that are novel, yet grounded in the literature. In spite of many texts on the case study method and the growing acceptance and use of thereof, there are relatively few examples that discuss how to apply the case study method. The purpose of this paper is to provide such an example by drawing upon the author’s research for her doctoral dissertation in the discipline of information systems and entrepreneurship research. First, the use of qualitative case studies as research method is motivated, then the importance of the research paradigm is discussed and the interpretivist research paradigm justified followed by a detailed discussion of the research design. The paper concludes with a discussion of lessons learned and recommendations based on the author’s experience with using the case study method. The practical yet theoretically founded approach of this paper may be useful to doctoral students who are considering or using the case study method. Equally, supervisors and others involved in research training may find this paper useful as an illustrative example of the case study method for their students.

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