scholarly journals Tailored performance dashboards—an evaluation of the state of the art

2021 ◽  
Vol 7 ◽  
pp. e625
Author(s):  
Artem Kruglov ◽  
Dragos Strugar ◽  
Giancarlo Succi
Keyword(s):  
Data Collection ◽  
Literature Review ◽  
Real World ◽  
Empirical Data ◽  
State Of The Art ◽  
Future Research ◽  
Research Attention ◽  
Research Designs ◽  
Search Processes ◽  
Multiple Domains

Context Tailoring mechanisms allow performance dashboards to vary their appearance as a response to changing requirements (e.g., adapting to multiple users or multiple domains). Objective We analyze existing research on tailored dashboards and investigate different proposed approaches. Methodology We performed a systematic literature review. Our search processes yielded a total of 1,764 papers, out of which we screened 1,243 and ultimately used six for data collection. Results Tailored dashboards, while being introduced almost thirty years ago, did not receive much research attention. However, the area is expanding in recent years and we observed common patterns in novel tailoring mechanisms. Since none of the existing solutions have been running for extended periods of time in real-world scenarios, this lack of empirical data is a likely cause of vaguely described research designs and important practical issues being overlooked. Implications Based on our findings we propose types of tailoring mechanisms taking into account the timing and nature of recommendations. This classification is grounded in empirical data and serves as a step ahead to a more unifying way of looking at tailoring capabilities in the context of dashboards. Finally, we outline a set of recommendations for future research, as well as a series of steps to follow to make studies more attractive to practitioners.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

scholarly journals Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

AMS Review ◽  
2020 ◽  
Vol 10 (3-4) ◽  
pp. 279-298 ◽  
Author(s):  
Sven Heidenreich ◽  
Katrin Talke
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Decision Model ◽  
Theory Development ◽  
Future Research ◽  
Adoption Process ◽  
Negative Outcomes ◽  
Research Attention ◽  
Advance Theory ◽  
Mandated Adoption

AbstractIn organizations, mandated adoption contexts are the rule rather than the exception. Individuals, who are denied the choice between adopting and rejecting an innovation, are more likely to engage in opposition behavior, particularly if the innovation conflicts with their held beliefs. Interestingly, neither the construct of forced adoption nor its consequences have received much research attention. To address this gap, we conduct a systematic literature review and provide theoretical rationales for the emergence of innovation resistance and opposition behaviors in organizations. We then develop an innovation decision model of individual adoption behavior that localizes negative outcomes of the secondary adoption process along the different process stages, providing insights into their emergence and potential consequences for the organization. Furthermore, we identify important avenues for future research and show how our innovation decision model can be used to advance theory development on forced adoption.

scholarly journals INTEREST-FREE FINANCING IN AGRO-INDUSTRY: CONCEPTS, THEORIES, METHODS AND RESEARCH GAPS

2021 ◽  
Vol 9 (03) ◽  
pp. 84-94
Author(s):  
Kiki Yulianto ◽  
◽  
Sukardi a ◽  
Nastiti Siswi Indrasti ◽  
Sapta Raharja ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Secondary Data ◽  
Future Research ◽  
Literature Study ◽  
Research Gaps ◽  
The Road ◽  
Road Map ◽  
Conference Papers

Interest-free financing in agro-industry is an exciting topic that has been developed by many researchers, but there is no clarity regarding the road map for future research. Therefore, formulations such as concepts, theories, methods, and research gaps, focusing on interest-free financing in agro-industry, are essential. This literature study was conducted using a systematic literature review method. The data used are secondary data from textbooks, theses/dissertations, conference papers, journals, scientific articles, and working papers. This study resulted in the formulation of the theory, concepts, and methods studied in the form of an explanation of 8 sub-topics of research gaps supported by references and explanations of state of the art. They are making it easier for researchers who have the same interest in developing and looking for novelties with the topic of interest-free financing research in the agro-industry.

scholarly journals CSR in Management Sciences: Is It “a Road to Nowhere”?

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 198
Author(s):  
Andrzej Janowski
Keyword(s):  
Environmental Management ◽  
Corporate Social Responsibility ◽  
Literature Review ◽  
Social Responsibility ◽  
Impact Factor ◽  
State Of The Art ◽  
Future Research ◽  
Management Journal ◽  
Extensive Analysis ◽  
Corporate Social

Over the years, the idea of corporate social responsibility has attracted the interest both of practitioners and researchers. While a discourse has occurred in the context of the meaning of Corporate Social Responsibility (CSR), there is no extensive analysis of the latest contributions. To address this gap, three objectives have been formulated for the purpose of this paper: to analyse development trends in CSR definitions, to assess the applicability of scientific efforts in the above-mentioned area and to demonstrate future research opportunities and threats based on the state-of-the-art in CSR. An organized literature review and bibliometric methods have been proposed based on 55 articles published in the “Corporate Social Responsibility and Environmental Management Journal”, the top ranked periodical with the highest Impact Factor, from its beginnings to January 2021. This research provides a clear overview of the recent CSR trends that are present in the literature, by pinpointing those works that refer to significant characteristics and indicate future trajectories of CSR in a managerial practical context, particularly important for the effectiveness of future CSR-oriented organizational activities. This paper summarises the existing CSR-related knowledge and constitutes the first attempt to investigate the process of the creation and development of the corporate social responsibility concept from its origins to its contemporary multidimensionality.

Sport in business studies: a state-of-the-art literature review

2018 ◽  
Vol 8 (5) ◽  
pp. 529-546
Author(s):  
Christofer Laurell ◽  
Sten Soderman
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Marketing Strategy ◽  
Design Methodology ◽  
State Of The Art ◽  
Future Research ◽  
Content Type ◽  
Business Studies ◽  
Current State ◽  
State Of Research

PurposeThe purpose of this paper is to provide a systematic review of articles on sport published in leading business studies journals within marketing, organisational studies and strategy.Design/methodology/approachBased on a review of 38 identified articles within the subfields of marketing, strategy and organisation studies published between 2000 and 2015, the articles’ topical, theoretical and methodological orientation within the studied subfields were analysed followed by a cross-subfield analysis.FindingsThe authors identify considerable differences in topical, theoretical and methodological orientation among the studied subfields’ associated articles. Overall, the authors also find that articles across all subfields tend to be focussed on contributing to mature theory, even though the subfield of marketing in particular exhibits contributions to nascent theory in contrast to organisation studies and strategy.Originality/valueThis paper contributes by illustrating the current state of research that is devoted or related to the phenomenon of sport within three subfields in business studies. Furthermore, the authors discuss the role played by leading business studies journalsvis-à-vissport sector-specific journals and offer avenues for future research.

Retail Customer Engagement

2019 ◽  
pp. 1-26
Author(s):  
Andrea Moretta Tartaglione ◽  
Giuseppe Granata
Keyword(s):  
Literature Review ◽  
Bibliometric Analysis ◽  
Scientific Community ◽  
State Of The Art ◽  
Customer Engagement ◽  
Future Research ◽  
Research Directions ◽  
Study Results ◽  
Research Findings ◽  
Future Research Directions

Customer engagement is one of the most debated topics in marketing literature. The great interest of the scientific community resulted in a large amount of research on this topic making it difficult for scholars to understand how to really contribute to advance the research. Based on these considerations, this chapter aims to provide an overview of the research findings and trends of previous studies to guide the researcher to the most influential works, results, and issues that need more insights. In particular, this chapter offers a literature review on customer engagement and retail customer engagement using bibliometric analysis and scientific mapping study. Results show the most productive authors, most cited publications, most frequent words, and clusters of related words. The analysis provides a description of the state of the art of retail customer engagement and suggests future research directions.

scholarly journals Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges

2020 ◽  
Vol 9 (2) ◽  
pp. 21 ◽  
Author(s):  
Martins O. Osifeko ◽  
Gerhard P. Hancke ◽  
Adnan M. Abu-Mahfouz
Keyword(s):  
Artificial Intelligence ◽  
Data Collection ◽  
Energy Efficient ◽  
State Of The Art ◽  
Future Internet ◽  
Future Research ◽  
Research Directions ◽  
Efficient Data ◽  
Future Research Directions ◽  
Efficient Data Collection

Smart, secure and energy-efficient data collection (DC) processes are key to the realization of the full potentials of future Internet of Things (FIoT)-based systems. Currently, challenges in this domain have motivated research efforts towards providing cognitive solutions for IoT usage. One such solution, termed cognitive sensing (CS) describes the use of smart sensors to intelligently perceive inputs from the environment. Further, CS has been proposed for use in FIoT in order to facilitate smart, secure and energy-efficient data collection processes. In this article, we provide a survey of different Artificial Intelligence (AI)-based techniques used over the last decade to provide cognitive sensing solutions for different FIoT applications. We present some state-of-the-art approaches, potentials, and challenges of AI techniques for the identified solutions. This survey contributes to a better understanding of AI techniques deployed for cognitive sensing in FIoT as well as future research directions in this regard.

scholarly journals Requirements for Robotic Interpretation of Social Signals “in the Wild”: Insights from Diagnostic Criteria of Autism Spectrum Disorder

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 81 ◽  
Author(s):  
Madeleine E. Bartlett ◽  
Cristina Costescu ◽  
Paul Baxter ◽  
Serge Thill
Keyword(s):  
Autism Spectrum Disorder ◽  
Real World ◽  
Technological Progress ◽  
State Of The Art ◽  
Autism Spectrum ◽  
Social Robotics ◽  
Human Behaviour ◽  
Spectrum Disorder ◽  
Future Research ◽  
Technological Means

The last few decades have seen widespread advances in technological means to characterise observable aspects of human behaviour such as gaze or posture. Among others, these developments have also led to significant advances in social robotics. At the same time, however, social robots are still largely evaluated in idealised or laboratory conditions, and it remains unclear whether the technological progress is sufficient to let such robots move “into the wild”. In this paper, we characterise the problems that a social robot in the real world may face, and review the technological state of the art in terms of addressing these. We do this by considering what it would entail to automate the diagnosis of Autism Spectrum Disorder (ASD). Just as for social robotics, ASD diagnosis fundamentally requires the ability to characterise human behaviour from observable aspects. However, therapists provide clear criteria regarding what to look for. As such, ASD diagnosis is a situation that is both relevant to real-world social robotics and comes with clear metrics. Overall, we demonstrate that even with relatively clear therapist-provided criteria and current technological progress, the need to interpret covert behaviour cannot yet be fully addressed. Our discussions have clear implications for ASD diagnosis, but also for social robotics more generally. For ASD diagnosis, we provide a classification of criteria based on whether or not they depend on covert information and highlight present-day possibilities for supporting therapists in diagnosis through technological means. For social robotics, we highlight the fundamental role of covert behaviour, show that the current state-of-the-art is unable to characterise this, and emphasise that future research should tackle this explicitly in realistic settings.

scholarly journals Better Prediction of Mutation Score

2021 ◽  
Author(s):  
Yossi Gil ◽  
Dor Ma’ayan
Keyword(s):  
Neural Networks ◽  
Real World ◽  
State Of The Art ◽  
Future Research ◽  
World Systems ◽  
Reliable Measurement ◽  
Mutation Score ◽  
Class Level ◽  
Effectiveness Prediction ◽  
Better Than

<div><div><div><p>Mutation score is widely accepted to be a reliable measurement for the effectiveness of software tests. Recent studies, however, show that mutation analysis is extremely costly and hard to use in practice. We present a novel direct prediction model of mutation score using neural networks. Relying solely on static code features that do not require generation of mutants or execution of the tests, we predict mutation score with an accuracy better than a quintile. When we include statement coverage as a feature, our accuracy rises to about a decile. Using a similar approach, we also improve the state-of-the-art results for binary test effectiveness prediction and introduce an intuitive, easy-to-calculate set of features superior to previously studied sets. We also publish the largest dataset of test-class level mutation score and static code features data to date, for future research. Finally, we discuss how our approach could be integrated into real-world systems, IDEs, CI tools, and testing frameworks.</p></div></div></div>

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