scholarly journals A Framework for ERP Post-Implementation Amendments: A Literature Analysis

2017 ◽  
Vol 21 ◽  
Author(s):  
Taiwo Oseni ◽  
Susan Valerie Foster ◽  
Rahim Mahbubur ◽  
Stephen Patrick Smith
Keyword(s):  
Empirical Evaluation ◽  
Future Research ◽  
Literature Analysis ◽  
Erp Systems ◽  
Research Directions ◽  
Research Attention ◽  
Current State ◽  
The Future ◽  
Future Research Directions ◽  
State Of Research

Post-implementation amendments to ERP systems (ERP-PIA) are of importance for advancing ERP research, but more importantly essential if ERP systems are to be used as a strategic and competitive business tool. For ease of clarity, we have adopted the term “amendments” to encompass the main forms of post implementation activities: maintenance, enhancements and upgrades. The term ‘amendments’ is used to counteract one of the major findings from this research - the inconsistency of terms used by many authors to explain post implementation activities. This paper presents a review of the ERP post-implementation amendment literature in order to provide answers to two specific questions: first, what is the current state of research in the field of ERP-PIA; and second, what are the future research directions that need to be explored in the field of ERP-PIA. From the review, we develop a framework to identify: (a) major themes concerning ERP post-implementation amendments, (b) inherent gaps in the post-implementation amendments literature, and (c) specific areas that require further research attention influencing the uptake of amendments. Suggestions on empirical evaluation of research directions and their relevance in the extension of existing literature is presented.

scholarly journals Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Current Knowledge ◽  
Future Research ◽  
Journal Articles ◽  
Research Directions ◽  
Current State ◽  
Management Context ◽  
Future Research Directions ◽  
State Of Research

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.

scholarly journals Synovial Macrophages in Rheumatoid Arthritis: The Past, Present, and Future

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Jiajie Tu ◽  
Xinming Wang ◽  
Xun Gong ◽  
Wenming Hong ◽  
Dafei Han ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Future Research ◽  
Research Directions ◽  
Systematic Analysis ◽  
The Past ◽  
Current State ◽  
Pathological Conditions ◽  
The Future ◽  
Future Research Directions

The ontogeny of macrophages in most organs has already been established. Owing to the limited number and inaccessibility of synovial macrophages (SMs), the origin of SMs has not been fully elucidated. Previous studies suggested that SMs have two major origins, namely, tissue-resident and monocyte-derived SMs. However, no systematic analysis to identify SM ontology in either physiological or pathological conditions has been available to date. In this review, we summarize relevant studies on the two main origins of SMs in rheumatoid arthritis (RA) and forecast the future research directions for this field. Furthermore, we discuss the current state of RA therapy that is based on targeting different SM subsets.

The Why and How of the Integrative Review

2020 ◽  
pp. 109442812093550 ◽  
Author(s):  
Matthew A. Cronin ◽  
Elizabeth George
Keyword(s):  
Knowledge Synthesis ◽  
Integrative Review ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Fair Representation ◽  
Organization Science ◽  
Future Research Directions ◽  
State Of Research ◽  
Meta Analyses

An effective integrative review can provide important insight into the current state of research on a topic and can recommend future research directions. This article discusses different types of reviews and outlines an approach to writing an integrative review. It includes guidance regarding challenges encountered when composing integrative reviews, such as fair representation of different perspectives and synthesizing that knowledge to yield new insights. An integrative review is of unique value among other types of knowledge-synthesis vehicles, such as narrative or systematic reviews and meta-analyses. Because each has distinctive but important approaches to synthesizing empirical knowledge, our protocol for writing integrative reviews is designed to complement these other knowledge-synthesis vehicles to best advance organization science.

Review of Product Information Retrieval: Representation and Indexing

2004 ◽  
Author(s):  
Zhanjun Li ◽  
Min Liu ◽  
Karthik Ramani
Keyword(s):  
Information Retrieval ◽  
Research And Development ◽  
Product Information ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Design And Manufacturing ◽  
Future Research Directions ◽  
State Of Research ◽  
The Right

Engineers spend a significant amount of time searching for the right product information during the design and manufacturing process. A large amount as well as various types of product information have been generated and are available within the engineering databases. But representing and indexing the products effectively and retrieving them efficiently, remains a challenge. The purpose of this survey is to document the current state of research and development. We then identify avenues for exploration and provide a comparison of the advantages, disadvantages, and limitations among the various techniques. This survey concludes by suggesting possible future research directions.

Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities

2021 ◽  
Vol 108 ◽  
pp. 103309
Author(s):  
Tatiane Tobias da Cruz ◽  
José A. Perrella Balestieri ◽  
João M. de Toledo Silva ◽  
Mateus R.N. Vilanova ◽  
Otávio J. Oliveira ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Carbon Capture ◽  
Carbon Capture And Storage ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Future Research Directions ◽  
And Storage

Harambee: Pulling it All Together

2017 ◽  
Vol 119 (1) ◽  
pp. 1-6
Author(s):  
Adrienne D. Dixson ◽  
Gloria Ladson-Billings
Keyword(s):  
Teacher Educators ◽  
Culturally Relevant ◽  
Future Research ◽  
Special Issue ◽  
Research Directions ◽  
The Future ◽  
Future Research Directions ◽  
Common Understanding

The articles in this special issue represent both our attempt as editors to survey the field and provide some clarity for practitioners and teacher educators on fundamental ideas that frame CRP, not to limit its implementation or future research directions, but to ensure that as a community of educators and scholars, we share a common understanding of exactly what it means to be culturally relevant. The articles in this special issue provide both that clarity of the field, and vision for the future.

Online Word-of-Mouth Reviews

2014 ◽  
pp. 1689-1697
Author(s):  
Jing Huo ◽  
Qinglong Gou ◽  
Qi Dai ◽  
Zhimin Huang
Keyword(s):  
Word Of Mouth ◽  
Social Network Sites ◽  
Future Research ◽  
Purchase Decision ◽  
Research Directions ◽  
Research Attention ◽  
Online Word Of Mouth ◽  
Significant Research ◽  
Future Research Directions ◽  
Antecedents And Consequences

Online word-of-mouth (WOM) has received significant research attention as the Internet has rapidly developed. Owing to specific Internet platforms such as consumer reviews sites and social network sites, online WOM spreads much more quickly and widely than traditional WOM, and that phenomenon ultimately makes online WOM play a key role in a consumer's purchase decision. In this chapter we present an overview of previous research on online WOM to facilitate future research in this area. In this review, previous researches are divided into three streams, i.e., (1) the effectiveness of online WOM, (2) the valence of online WOM, and (3) the antecedents and consequences of online WOM. Also, two possible future research directions are suggested at the end the chapter.

Integrating Odor Sensing in Robotics

2018 ◽  
pp. 224-243
Author(s):  
Alauddin Yousif Al-Omary
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Chemical Sensors ◽  
Mobile Robotics ◽  
Future Research ◽  
Research Directions ◽  
The Future ◽  
The Status ◽  
Future Research Directions ◽  
Technical Challenges

In this chapter, the benefit of equipping the robot with odor sensors is investigated. The chapter addresses the types of tasks the mobile robots can accomplish with the help of olfactory sensing capabilities, the technical challenges in mobile robot olfaction, the status of mobile robot olfaction. The chapter also addresses simple and complex electronic olfaction sensors used in mobile robotics, the challenge of using chemical sensors, the use of many types of algorithms for robot olfaction, and the future research directions in the field of mobile robot olfaction.

Future Research Directions in E-Tourism Studies

Big Data ◽  
2016 ◽  
pp. 2368-2387
Author(s):  
Hajime Eto
Keyword(s):  
Big Data ◽  
Future Research ◽  
Research Directions ◽  
Scientific Methods ◽  
Tourism Studies ◽  
The Future ◽  
Future Research Directions ◽  
And Behaviors ◽  
Public Voice

As this book has the limited numbers of chapters and pages, many important issues remain unanalyzed. This chapter picks up and roughly discusses some of them for the future analyses in more analytical ways. The focuses are placed on how to apply the data scientific methods to the analyses of public voice, claims and behaviors of tourists, customers and the general publics by using the big data already acquired and stored somewhere.

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