Basics of qualitative research: Grounded theory procedures and techniques

Lincoln, Yvonna, and Egon Guba, "Postpositivism and the Naturalist Paradigm," pp. 14-46 in Yvonna Lincoln and Egon Guba, Naturalistic Inquiry . Beverly Hills, CA: Sage, 1985.*

(1998). Human cognitive abilities: A survey of factor analytic studies. Gifted and Talented International: Vol. 13, No. 2, pp. 97-98.

Human cognitive abilities: A survey of factor analytic studies

Thank you for reading experimental and quasi experimental designs for research. Maybe you have knowledge that, people have search numerous times for their favorite readings like this experimental and quasi experimental designs for research, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some infectious virus inside their laptop.

Experimental And Quasi Experimental Designs For Research

Extant literature has increased our understanding of specific aspects of digital transformation, however we lack a comprehensive portrait of its nature and implications. Through a review of 282 works, we inductively build a framework of digital transformation articulated across eight building blocks. Our framework foregrounds digital transformation as a process where digital technologies create disruptions triggering strategic responses from organizations that seek to alter their value creation paths while managing the structural changes and organizational barriers that affect the positive and negative outcomes of this process. Building on this framework, we elaborate a research agenda that proposes [1] examining the role of dynamic capabilities, and [2] accounting for ethical issues as important avenues for future strategic IS research on digital transformation.

Understanding digital transformation: A review and a research agenda

Empirical studies that use structural equation modeling (SEM) are widespread in information systems research. During the last few years, the component-based approach partial least squares (PLS) for testing structural models has become increasingly popular. At the same time, this approach's limitations have become a greater concern. Some researchers even suggest using alternative approaches that are considered superior to PLS. However, we believe that PLS is an adequate choice if the research problem meets certain characteristics and the technique is properly used. Thus, the intention of this article is to resolve potential uncertainties that researchers intending to use PLS might have. Consequently, we provide a nontechnical overview of PLS and outline the ongoing discourses on SEM in general and the PLS approach in particular. Furthermore, we present a basic framework for empirical research applying PLS as well as a detailed explanation of the different process steps. Finally, examples of information systems research using PLS are summarized to demonstrate its beneficial application and the appropriateness of the proposed framework. This article can serve as a helpful guide for inexperienced researchers applying PLS for the first time, but also as a reference guide for researchers with a better understanding of the field. Keywords: structural equation modeling, partial least squares, information systems research I. INTRODUCTION The information systems (IS) discipline examines socioeconomic systems that are characterized by the interplay between hardware and software on the one hand, as well as individuals, groups, and organizations on the other. For example, technology adoption, acceptance, and success, as well as the conditions under which these can be achieved are typical issues that are addressed by IS research. These research fields are similar in that their investigation requires the researcher to cope with constructs such as the beliefs, perceptions, motivation, attitude, or judgments of the individuals involved. These constructs are usually modeled as latent variables (LVs) that can be measured only through a set of indicators. Structural equation models describe the relationships between several of these LVs. A number of algorithms and software programs are available to estimate their relationships based on a dataset. Among these algorithms, the partial least squares (PLS) algorithm has become increasingly popular both in IS research and in other disciplines such as marketing (Albers 2010; Henseler et al. 2009) or strategic management (Hulland 1999). However, reminders of this approach's limitations have recently become more prominent. Consequently, researchers opt for a more careful application of PLS. Especially its statistical power at small sample sizes, the overall model fit, as well as the misspecification of measurement models have been the focus of recent discussions. To resolve the uncertainties that researchers intending to use PLS might have, we investigate current discourses on the PLS approach. In the following sections, we: * demonstrate the increasing popularity of PLS in the IS research community * outline the PLS approach by providing a nontechnical overview and reflecting on the ongoing discussion on structural equation modeling (SEM) in general and on PLS in particular * discuss differences between PLS and covariance-based approaches * present a basic framework for empirical research applying the PLS approach * provide examples of its beneficial application in IS research As a result, this paper helps SEM beginners and advanced researchers to make an informed decision about whether to use SEM or other alternative approaches to SEM. Even more, we present up-to-date recommendations on how to apply PLS appropriately. Section II demonstrates the increasing popularity of PLS for SEM in IS research by conducting a systematic review of literature that appeared in two prestigious IS journals during the last fifteen years. …

/pdf/structural-equation-modeling-in-information-systems-research-2jjhybpjex.pdf

Structural Equation Modeling in Information Systems Research Using Partial Least Squares

The convergence of the so-called SMAC technologies – social, mobile, analytics, and cloud computing – has led to an unprecedented wave of digitalization that is currently fueling innovation in business and society. As digitalization is embracing all aspects of our private and professional lives, it is becoming a priority for managers and policymakers, and has made it into the headlines of newspapers, magazines, and practitioner conferences. This wave of digitalization is creating opportunities for the BISE community to engage in innovative research activities and to increase the discipline’s visibility. However, since BISE researchers have investigated the increasing exploitation and integration of digital technologies over several decades, they also naturally react with ambivalence when others claim that going digital is a new phenomenon.

/pdf/digitalization-opportunity-and-challenge-for-the-business-5596ac6or4.pdf

Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community

Employee portals are utilized by many companies to improve companies' information exchange, communication, and employee collaboration, as well as to better support their business processes. Owing to limited IT budgets and the need to justify investments in employee portals, assessing the benefits of these is an important field in research and practice. Thus, the purpose of this study is to gain a better understanding of employee portal success. We introduce a theoretical model for this that is based on the DeLone and McLean IS Success Model. Furthermore, we develop hypotheses regarding the associations between different models' success dimensions and test them using more than 10,000 employees' responses collected in a survey of 22 companies. Our results indicate that besides the factors contributing to IS success in general, other success dimensions - like the quality of the collaboration and process support - have to be considered when aiming for a successful employee portal. The study's findings make it possible for practitioners to understand the levers with which to improve their employee portals. By empirically validating a comprehensive success model for employee portals, the study's results advance theoretical development in the area of collaboration-centered systems and present a basis for further research in this field.

An empirical investigation of employee portal success

In order to provide a general and comprehensive definition of information systems (IS) success that covers different evaluation perspectives, DeLone and McLean reviewed the existing definitions of IS success and their corresponding ­measures, and classified them into six major categories. Thus, they created a multidimensional measuring model with interdependencies between the different success categories (DeLone and McLean 1992). Motivated by DeLone and McLean’s call for further development and validation of their model, many researchers have attempted to extend or respecify the original model. Ten years after the publication of their first model and based on the evaluation of the many contributions to it, DeLone and McLean proposed an updated IS Success Model (DeLone and McLean 2003). This chapter gives an overview of the current state of research on the IS Success Model. Thereby, it offers a concise entry point to the theory’s background and its application, which might be specifically beneficial for novice readers.

The Updated DeLone and McLean Model of Information Systems Success

Measuring information systems (IS) success is of great interest to both researchers and practitioners. This article examines multidimensional approaches to measuring IS success and explores the current state of IS success research through a literature review and by classifying articles published between 2003 and 2007. Based on a total of 41 academic journal and conference publications, the relevant research carried out is identified, while the research results are categorized, consolidated, and discussed. The results show that the dominant empirical research analyzes the individual impact of a certain type of information system by ascertaining users’ evaluation of it by means of surveys and then applying structural equation modeling. The DeLone and McLean information systems success model is the main theoretical basis of the reviewed empirical studies. This article provides researchers with a comprehensive review and structuring of IS success research. Furthermore, opportunities for additional development are identified and future research directions suggested.

/pdf/the-state-of-research-on-information-systems-success-50av3l22aj.pdf

Nils Urbach

Papers

Structural Equation Modeling in Information Systems Research Using Partial Least Squares

Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community

An empirical investigation of employee portal success

The Updated DeLone and McLean Model of Information Systems Success

The State of Research on Information Systems Success