scholarly journals Results-Based Project Follow-Up

2020 ◽  
Vol 11 (2) ◽  
pp. 14-30
Author(s):  
Gideon Mekonnen Jonathan
Keyword(s):  
Design Science ◽  
New Method ◽  
Future Research ◽  
Development Projects ◽  
For Profit ◽  
Actual Outcome ◽  
Future Research Directions ◽  
Science Methodology ◽  
High Level

Results-based management (RBM) has become the choice of many governmental and non-governmental organisations, and not-for-profit agencies engaged in development projects. Despite its widespread adoption, tools and methods are still being developed to complement the framework. One of such methods sought by practitioners, according to the extant literature, is a method for project follow-up. Employing design science methodology, the study aimed to develop a new method that can be used to evaluate the gap between design and actual outcome of development projects. The research has resulted in a new method which proposed ten steps to perform project follow-up. The high-level requirements were evaluated using informed arguments. To warranty validity and impartiality of the evaluation of the method, the internal and external properties were evaluated by 37 qualified experts. The research has identified and suggested other methods that can be used to complement the designed method. The contribution of the study and potential future research directions are presented.

Probabilistic Rule Learning Systems

2021 ◽  
Vol 54 (4) ◽  
pp. 1-16
Author(s):  
Abdus Salam ◽  
Rolf Schwitter ◽  
Mehmet A. Orgun
Keyword(s):  
Probability Theory ◽  
Rule Learning ◽  
Background Knowledge ◽  
Learning Systems ◽  
Future Research ◽  
Research Directions ◽  
System Architectures ◽  
Probabilistic Rule ◽  
Future Research Directions ◽  
High Level

This survey provides an overview of rule learning systems that can learn the structure of probabilistic rules for uncertain domains. These systems are very useful in such domains because they can be trained with a small amount of positive and negative examples, use declarative representations of background knowledge, and combine efficient high-level reasoning with the probability theory. The output of these systems are probabilistic rules that are easy to understand by humans, since the conditions for consequences lead to predictions that become transparent and interpretable. This survey focuses on representational approaches and system architectures, and suggests future research directions.

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Enhancing Emergency Response Management using Emergency Description Information Technology (EDIT)

2016 ◽  
pp. 1264-1278
Author(s):  
Michael A. Erskine ◽  
Will Pepper
Keyword(s):  
Emergency Response ◽  
Process Model ◽  
Large Scale ◽  
Design Science ◽  
Future Research ◽  
Sporting Events ◽  
Emergency Responder ◽  
Response Information ◽  
Novel Approach ◽  
Future Research Directions

This paper presents a novel approach toward facilitating the effective collection and communication of information during an emergency. Initially, this research examines current emergency response information workflows and emergency responder dispatch criteria. A process for the optimization of these workflows and criteria, along with a suggested method to improve data collection accuracy and emergency response time using a mobile device application, are suggested. Specifically, a design-science approach incorporating the development of an expert system designed to facilitate efficient and effective sharing of emergency information is applied. The resulting benefits could improve emergency communications during large-scale international gatherings, such as sporting events or festivals, as well as the sharing of industry-specific safety incidents. A process model for conducting analyses of additional emergency response processes is also presented. Finally, future research directions are discussed.

A Generic Guide for Using Membrane Computing in Robot Control

2017 ◽  
pp. 86-96
Keyword(s):  
Operating Systems ◽  
Membrane Computing ◽  
Task Complexity ◽  
Future Research ◽  
Research Directions ◽  
Robot Controller ◽  
Swarm Algorithms ◽  
Future Research Directions ◽  
High Level ◽  
Generic Algorithms

As various theoretical and practical details of using membrane computing models have been presented throughout the book, certain details might be hard to find at a later time. For this reason, this chapter provides the reader with a set of checkmark topics that a developer should address in order to implement a robot controller using a membrane computing model. The topics discussed address areas such as: (1) robot complexity, (2) number of robots, (3) task complexity, (4) simulation versus real world execution, (5) sequential versus parallel implementations. This chapter concludes with an overview of future research directions. These directions offer possible solutions for several important concerns: the development of complex generic algorithms that use a high level of abstraction, the design of swarm algorithms using a top-down (swarm-level) approach and ensuring the predictability of a controller by using concepts such as those used in real-time operating systems.

PREDICTORS OF THERAPEUTIC FAILURE IN SLOT-MACHINE PATHOLOGICAL GAMBLERS FOLLOWING BEHAVIOURAL TREATMENT

2001 ◽  
Vol 29 (3) ◽  
pp. 379-383 ◽  
Author(s):  
Enrique Echeburúa ◽  
Javier Fernández-Montalvo ◽  
Concepción Báez
Keyword(s):  
Therapeutic Failure ◽  
Future Research ◽  
Personality Variable ◽  
Behavioural Treatment ◽  
Pathological Gamblers ◽  
Predictive Variables ◽  
Dsm Iv ◽  
One Year ◽  
High Level

The aim of this paper was to determine the features of pathological gamblers who dropped out of the treatment or relapsed within a one year follow-up period. The sample consisted of 69 patients selected according to DSM-IV criteria. Results indicated that the only difference between the patients who dropped out of treatment and the ones who completed was the level of state-anxiety. The former were more anxious than the latter. Predictive variables for the therapeutic failure were the dissatisfaction with the treatment, the high level of alcohol consumption, and the neuroticism as a personality variable. Implications of the study for clinical practice and future research in this field are commented upon.

scholarly journals Impact Tech Startups: A Conceptual Framework, Machine-Learning-Based Methodology and Future Research Directions

2021 ◽  
Vol 13 (18) ◽  
pp. 10048
Author(s):  
Benjamin Gidron ◽  
Yael Israel-Cohen ◽  
Kfir Bar ◽  
Dalia Silberstein ◽  
Michael Lustig ◽  
...  
Keyword(s):  
Machine Learning ◽  
Conceptual Framework ◽  
Impact Category ◽  
Private Investment ◽  
Social Enterprises ◽  
Future Research ◽  
Research Directions ◽  
For Profit ◽  
Future Research Directions ◽  
The Impact

The Impact Tech Startup (ITS) is a new, rapidly developing type of organizational category. Based on an entrepreneurial approach and technological foundations, ITSs adopt innovative strategies to tackle a variety of social and environmental challenges within a for-profit framework and are usually backed by private investment. This new organizational category is thus far not discussed in the academic literature. The paper first provides a conceptual framework for studying this organizational category, as a combination of aspects of social enterprises and startup businesses. It then proposes a machine learning (ML)-based algorithm to identify ITSs within startup databases. The UN’s Sustainable Development Goals (SDGs) are used as a referential framework for characterizing ITSs, with indicators relating to those 17 goals that qualify a startup for inclusion in the impact category. The paper concludes by discussing future research directions in studying ITSs as a distinct organizational category through the usage of the ML methodology.

scholarly journals How Job Tenure Weakens the Positive Influence of Education on Creative Performance through Task Performance

2022 ◽  
Vol 14 (1) ◽  
pp. 537
Author(s):  
Lu Yang ◽  
Jun Wei ◽  
Jinyi Zhou
Keyword(s):  
Task Performance ◽  
Positive Influence ◽  
Future Research ◽  
Job Tenure ◽  
Creative Performance ◽  
Research Directions ◽  
Future Research Directions ◽  
Indirect Relationship ◽  
High Level ◽  
Practical Implications

Researchers indicate that employees with a high level of education tend to have better creative performance. However, few studies have investigated the boundary conditions of this association. The componential model of creativity demonstrates that both task-relevant skills and creativity-relevant skills are indispensable factors of creative performance. Job tenure, which generally hinders employees from acquiring creativity-relevant skills, is regarded as a potential boundary condition. In this study, we investigate how job tenure weakens positive influence of education on creative performance through task performance. Using a sample of 368 employees and 43 leaders in a provincial bank in China, we indeed find that job tenure negatively moderates the indirect relationship between education and creative performance via task performance. Specifically, the positive relationship is weakened when job tenure is high than when it is low. We also discuss the theoretical and practical implications of our study and highlight future research directions.

Intermittent Motivational Interviewing and Transdiagnostic CBT for Anxiety: A Case Study

2019 ◽  
Vol 18 (4) ◽  
pp. 300-318 ◽  
Author(s):  
Isabella Marker ◽  
Peter J. Norton
Keyword(s):  
Treatment Outcome ◽  
Motivational Interviewing ◽  
Integrated Approach ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Future Research Directions ◽  
Clinically Significant

Recent meta-analytic findings have revealed that the addition of motivational interviewing (MI) to cognitive behavior therapy (CBT) for anxiety disorders improves treatment outcome. However, for the most part, previous research has limited MI as a prelude to CBT. This article explored the benefits and complications of a more integrated approach by adapting and examining an already established transdiagnostic CBT protocol to include intermittent MI strategies. The presented protocol is described and illustrated using a case study of a woman meeting criteria for four anxiety disorder diagnoses. This study presents session-by-session treatment accounts, as well as pre, post, and follow-up data. Results indicated clinically significant improvement, supporting the utility of intermittent MI strategies within CBT. Implementation recommendations and future research directions are discussed.

Minimal important changes and differences in elective hand surgery

2014 ◽  
Vol 40 (9) ◽  
pp. 900-912 ◽  
Author(s):  
J. N. Rodrigues ◽  
N. T. Mabvuure ◽  
D. Nikkhah ◽  
Z. Shariff ◽  
T. R. C. Davis
Keyword(s):  
Outcome Measures ◽  
Hand Surgery ◽  
Future Research ◽  
Level Of Evidence ◽  
Research Directions ◽  
Future Research Directions ◽  
Minimal Important Differences

Minimal important changes and differences describe the smallest changes and differences between individuals that are relevant to patients following treatment. Minimal important differences may vary between conditions, treatments and lengths of follow-up, and can be calculated in different ways. Minimal important differences for elective hand surgery were reviewed. A total of 99 minimal important differences were identified in 29 articles. The conditions, treatments, outcome measures used and follow-up periods are discussed. The Disabilities of the Arm, Shoulder and Hand had the most estimates of minimal important differences, but these varied. The methods used in the included studies were reviewed and appraised. Most minimal important differences were calculated using retrospective anchors. Future research directions in this area are suggested. Level of evidence: II

scholarly journals Designing complex socio-technical process systems – the airport example

2019 ◽  
Vol 25 (5) ◽  
pp. 1101-1125 ◽  
Author(s):  
Samia Mazhar ◽  
Paul Pao-Yen Wu ◽  
Michael Rosemann
Keyword(s):  
Process Management ◽  
Business Processes ◽  
Graphical Representation ◽  
Reference Model ◽  
Design Science ◽  
Contextual Factors ◽  
Future Research ◽  
Content Type ◽  
Multi Stakeholder ◽  
Science Methodology

Purpose A configurable reference model can be used to assist in the development and management of business processes in complex, multi-stakeholder environments. The purpose of this paper is to demonstrate a process design in such environments via configurable process reference modelling, using airports as an example. Design/methodology/approach Existing reference modelling methods around process modelling, merging and configuration are extended to include contextual and spatial factors using the design science methodology. The approach is empirically based on a set of business process management notation (BPMN) models for international passenger departures, consolidated from five Australian airport case studies via document analysis, interviews and observation. Findings The use of contextual factors and operational scenarios, structured using the proposed approach, facilitated efficient cross-organisational comparison for configuring processes to suit the needs of a target organisation. The resulting configurable model integrates the perspectives of organisational stakeholder groups with that of the customer in a transparent and unambiguous graphical representation. It is a reusable tool with low data collection needs for each use. Research limitations/implications Future research should include: version management; how to keep the model current; configurability via modelling objects other than gateways; and cross-discipline application (e.g. as a foundation for quantitative decision-making models). Originality/value This is the first reported application of configurable reference modelling to airport passenger facilitation. Methodological contributions include the addition of space-sensitive process elements and notation to BPMN; guidelines for systematically deriving contextual factors associated with process variants across similar organisations; and overall normative guidelines for inductively developing a configurable process reference model.

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