Challenges to Experimental Audit JDM Research and the Role of Online Platforms in Resolving these Challenges

2021 ◽  
Author(s):  
Justin Leiby ◽  
Kristina M. Rennekamp ◽  
Ken T. Trotman
Keyword(s):  
Data Quality ◽  
Important Research ◽  
Managerial Accounting ◽  
Publication Process ◽  
Online Platforms ◽  
Single Study ◽  
Research Questions ◽  
Quality Issues ◽  
Over Time

We survey experienced experimental researchers to understand their beliefs about the biggest challenges facing audit JDM research. By far, the biggest challenge identified by respondents is access to experienced participants. This creates a major problem as examining important research questions often requires hard-to-access professionals and the availability of these participants has decreased over time. Other important challenges to audit JDM research include the publication process (including demands for multiple experiments in a single study involving experienced participants) and demonstrating practical contributions. We also compare responses about the challenges facing financial and managerial accounting researchers, in order to better understand the problems that are unique to audit researchers. We discuss how the challenges identified might be either mitigated or exacerbated by the use of various online platforms. We discuss data quality issues and potential solutions, provide suggestions on potential new sources of participants and possible ways forward for audit JDM research.

scholarly journals Fresh perspectives on customer experience

2015 ◽  
Vol 29 (6/7) ◽  
pp. 430-435 ◽  
Author(s):  
Janet R. McColl-Kennedy ◽  
Anders Gustafsson ◽  
Elina Jaakkola ◽  
Phil Klaus ◽  
Zoe Jane Radnor ◽  
...  
Keyword(s):  
Research Agenda ◽  
Design Methodology ◽  
Customer Experience ◽  
Future Research ◽  
Dynamic Nature ◽  
Content Type ◽  
Research Questions ◽  
Advance Theory ◽  
Over Time

Purpose – The purpose of this paper is to provide directions for future research on: broadening the role of customers in customer experience; taking a practice-based approach to customer experience; and recognizing the holistic, dynamic nature of customer experience across all touch points and over time. Design/methodology/approach – The approach is conceptual identifying current gaps in research on customer experience. Findings – The findings include a set of research questions and research agenda for future research on customer experience. Originality/value – This research suggests fresh perspectives for understanding the customer experience which can inspire future research and advance theory and managerial practice.

scholarly journals From ranking algorithms to ‘ranking cultures’

2018 ◽  
Vol 24 (1) ◽  
pp. 50-68 ◽  
Author(s):  
Bernhard Rieder ◽  
Ariadna Matamoros-Fernández ◽  
Òscar Coromina
Keyword(s):  
Qualitative Analysis ◽  
Social Power ◽  
Causal Explanation ◽  
Search Results ◽  
Ranking Algorithms ◽  
Online Platforms ◽  
Change Metrics ◽  
Empirical Approaches ◽  
Over Time

Algorithms, as constitutive elements of online platforms, are increasingly shaping everyday sociability. Developing suitable empirical approaches to render them accountable and to study their social power has become a prominent scholarly concern. This article proposes an approach to examine what an algorithm does, not only to move closer to understanding how it works, but also to investigate broader forms of agency involved. To do this, we examine YouTube’s search results ranking over time in the context of seven sociocultural issues. Through a combination of rank visualizations, computational change metrics and qualitative analysis, we study search ranking as the distributed accomplishment of ‘ranking cultures’. First, we identify three forms of ordering over time – stable, ‘newsy’ and mixed rank morphologies. Second, we observe that rankings cannot be easily linked back to popularity metrics, which highlights the role of platform features such as channel subscriptions in processes of visibility distribution. Third, we find that the contents appearing in the top 20 results are heavily influenced by both issue and platform vernaculars. YouTube-native content, which often thrives on controversy and dissent, systematically beats out mainstream actors in terms of exposure. We close by arguing that ranking cultures are embedded in the meshes of mutually constitutive agencies that frustrate our attempts at causal explanation and are better served by strategies of ‘descriptive assemblage’.

scholarly journals The Co-Development of Science, Math, and Language Interest Among Spanish and Finnish Secondary School Students

2021 ◽  
Vol 6 ◽  
Author(s):  
Milagros Sainz ◽  
Katja Upadyaya ◽  
Katariina Salmela-Aro
Keyword(s):  
Secondary School ◽  
Secondary School Students ◽  
Longitudinal Design ◽  
Gender Performance ◽  
Latent Growth Curve ◽  
Latent Growth ◽  
School Students ◽  
Research Questions ◽  
Over Time

The present two studies with a 3-year longitudinal design examined the co-development of science, math, and language (e.g., Spanish/Finnish) interest among 1,317 Spanish and 804 Finnish secondary school students across their transition to post-compulsory secondary education, taking into account the role of gender, performance, and socioeconomic status (SES). The research questions were analyzed with parallel process latent growth curve (LGC) modeling. The results showed that Spanish students’ interest in each domain slightly decreased over time, whereas Finnish students experienced an overall high and relatively stable level of interest in all domains. Further, boys showed greater interest in math and science in both countries, whereas girls reported having a greater interest in languages. Moreover, Spanish and Finnish students with high academic achievement typically experienced high interest in different domains, however, some declines in their interest occurred later on.

The Interplay of Entrepreneurship and Collaboration

2019 ◽  
pp. xiv-14
Author(s):  
Jeffrey J. Reuer ◽  
Sharon F. Matusik ◽  
Jessica Jones
Keyword(s):  
Value Creation ◽  
Interorganizational Collaboration ◽  
Resource Acquisition ◽  
Important Research ◽  
Entrepreneurial Ventures ◽  
Units Of Analysis ◽  
Theoretical Perspectives ◽  
Research Questions ◽  
Multiple Units

The role of collaboration in entrepreneurship spans across different contexts, varied theoretical perspectives, and multiple units of analysis. This chapter introduces The Oxford Handbook of Entrepreneurship and Collaboration with an overview of the important role that collaboration plays in value creation, resource acquisition, and the development of entrepreneurial ventures. It is organized in two ways. First, the chapter summarizes each chapter to direct readers to the material of greatest relevance and interest to them. Second, it identifies important research questions to further push connections between the fields of entrepreneurship and interorganizational collaboration.

Introduction

2020 ◽  
pp. 1-25
Author(s):  
Himanshu Jha
Keyword(s):  
Institutional Change ◽  
Tipping Point ◽  
Political Processes ◽  
The Core ◽  
State Apparatus ◽  
State And Society ◽  
Research Questions ◽  
Global Norms ◽  
Over Time

This chapter introduces the book by presenting the case for institutional change. It starts by explaining what institutions are and subsequently argues how RTI is a valid case of institutional change. It poses the core research puzzle and the guiding research questions. It engages with the existing alternate scholarly explanations, point to the gaps, and suggests an alternate explanation. It proposes an endogenous model of institutional change that builds on gradual and incremental ideational shifts over time to finally reach a ‘tipping point’. In this chapter the entire book plan is laid out by indicating that this volume, spread over six chapters, deals with two distinct yet interrelated layers of the ideational and policy moves within the state apparatus and related institutions. The socio-political processes within both state and society and the role of global norms are part of these phases/layers.

scholarly journals A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With Depression (Preprint)

2020 ◽  
Author(s):  
Maryam Zolnoori ◽  
Mark D Williams ◽  
William B Leasure ◽  
Kurt B Angstman ◽  
Che Ngufor
Keyword(s):  
Data Quality ◽  
Quality Data ◽  
Patient Centered ◽  
High Quality ◽  
Data Set ◽  
High Quality Data ◽  
Research Questions ◽  
Quality Issues ◽  
The Impact ◽  
Systematic Framework

BACKGROUND Patient-centered registries are essential in population-based clinical care for patient identification and monitoring of outcomes. Although registry data may be used in real time for patient care, the same data may further be used for secondary analysis to assess disease burden, evaluation of disease management and health care services, and research. The design of a registry has major implications for the ability to effectively use these clinical data in research. OBJECTIVE This study aims to develop a systematic framework to address the data and methodological issues involved in analyzing data in clinically designed patient-centered registries. METHODS The systematic framework was composed of 3 major components: visualizing the multifaceted and heterogeneous patient-centered registries using a data flow diagram, assessing and managing data quality issues, and identifying patient cohorts for addressing specific research questions. RESULTS Using a clinical registry designed as a part of a collaborative care program for adults with depression at Mayo Clinic, we were able to demonstrate the impact of the proposed framework on data integrity. By following the data cleaning and refining procedures of the framework, we were able to generate high-quality data that were available for research questions about the coordination and management of depression in a primary care setting. We describe the steps involved in converting clinically collected data into a viable research data set using registry cohorts of depressed adults to assess the impact on high-cost service use. CONCLUSIONS The systematic framework discussed in this study sheds light on the existing inconsistency and data quality issues in patient-centered registries. This study provided a step-by-step procedure for addressing these challenges and for generating high-quality data for both quality improvement and research that may enhance care and outcomes for patients. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18366

scholarly journals A Systematic Framework for Analyzing Observation Data in Patient-Centered Registries: Case Study for Patients With Depression

10.2196/18366 ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. e18366
Author(s):  
Maryam Zolnoori ◽  
Mark D Williams ◽  
William B Leasure ◽  
Kurt B Angstman ◽  
Che Ngufor
Keyword(s):  
Data Quality ◽  
Quality Data ◽  
Patient Centered ◽  
High Quality ◽  
Data Set ◽  
High Quality Data ◽  
Research Questions ◽  
Quality Issues ◽  
The Impact ◽  
Systematic Framework

Background Patient-centered registries are essential in population-based clinical care for patient identification and monitoring of outcomes. Although registry data may be used in real time for patient care, the same data may further be used for secondary analysis to assess disease burden, evaluation of disease management and health care services, and research. The design of a registry has major implications for the ability to effectively use these clinical data in research. Objective This study aims to develop a systematic framework to address the data and methodological issues involved in analyzing data in clinically designed patient-centered registries. Methods The systematic framework was composed of 3 major components: visualizing the multifaceted and heterogeneous patient-centered registries using a data flow diagram, assessing and managing data quality issues, and identifying patient cohorts for addressing specific research questions. Results Using a clinical registry designed as a part of a collaborative care program for adults with depression at Mayo Clinic, we were able to demonstrate the impact of the proposed framework on data integrity. By following the data cleaning and refining procedures of the framework, we were able to generate high-quality data that were available for research questions about the coordination and management of depression in a primary care setting. We describe the steps involved in converting clinically collected data into a viable research data set using registry cohorts of depressed adults to assess the impact on high-cost service use. Conclusions The systematic framework discussed in this study sheds light on the existing inconsistency and data quality issues in patient-centered registries. This study provided a step-by-step procedure for addressing these challenges and for generating high-quality data for both quality improvement and research that may enhance care and outcomes for patients. International Registered Report Identifier (IRRID) DERR1-10.2196/18366

scholarly journals Research directions in data wrangling: Visualizations and transformations for usable and credible data

2011 ◽  
Vol 10 (4) ◽  
pp. 271-288 ◽  
Author(s):  
Sean Kandel ◽  
Jeffrey Heer ◽  
Catherine Plaisant ◽  
Jessie Kennedy ◽  
Frank van Ham ◽  
...  
Keyword(s):  
Data Quality ◽  
State Of The Art ◽  
Interactive Systems ◽  
Research Directions ◽  
Data Transformations ◽  
Challenges And Opportunities ◽  
Interactive Visualizations ◽  
Research Questions ◽  
Quality Issues ◽  
Integrate Data

In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usable form. This process of ‘data wrangling’ often constitutes the most tedious and time-consuming aspect of analysis. Though data cleaning and integration arelongstanding issues in the database community, relatively little research has explored how interactive visualization can advance the state of the art. In this article, we review the challenges and opportunities associated with addressing data quality issues. We argue that analysts might more effectively wrangle data through new interactive systems that integrate data verification, transformation, and visualization. We identify a number of outstanding research questions, including how appropriate visual encodings can facilitate apprehension of missing data, discrepant values, and uncertainty; how interactive visualizations might facilitate data transform specification; and how recorded provenance and social interaction might enable wider reuse, verification, and modification of data transformations.

The Image of Media and Journalism on the Pages of the Bulgarian Journalist Periodical (1959–1996): Results of а Quantitative Content Analysis

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Ivaylo Sapravliyski ◽  
Keyword(s):  
Content Analysis ◽  
Communist Regime ◽  
Important Research ◽  
Quantitative Content Analysis ◽  
Main Research ◽  
Quantitative Content ◽  
Research Questions ◽  
Main Research Topic ◽  
Democratic Transformation

This paper presents and analyzes the results of a quantitative content analysis of the periodical called Bulgarian Journalist ‒ Journalism and Society. The main research topic is the role of journalism and media in Bulgaria. Based on publications on the topic, it aims to “bring to light”, as far as possible, journalistic, political and public reflections on the role and place of media and journalism in Bulgarian society during the communist regime and the first years of democratic transformation. The main focus is on five research questions, on the basis of which the periodical is monitored and analyzed. The conclusions drawn at the end have an important research significance.

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