Data-driven effort estimation techniques of agile user stories: a systematic literature review

2022 ◽  
Author(s):  
Bashaer Alsaadi ◽  
Kawther Saeedi
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Data Driven ◽  
Effort Estimation ◽  
Estimation Techniques ◽  
User Stories

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

scholarly journals Current Research Trend on Agile Software Development

2019 ◽  
pp. 99-105
Author(s):  
Handrie Noprisson
Keyword(s):  
Literature Review ◽  
Software Development ◽  
Systematic Literature Review ◽  
Traditional Approach ◽  
Agile Software Development ◽  
Research Trend ◽  
Effort Estimation ◽  
Software Methodology ◽  
Meta Analyses ◽  
Agile Software

In recent years, the software development methodology evolves from the traditional approach to agile software development. This paper attempted to conduct a systematic literature review (SLR) regarding the improved agile software development to tackle its weakness based on recent research papers. Systematic Reviews and Meta-Analyses (PRISMA) as Systematic Literature Review Method (SLR). SLR is the review method which uses some protocols in order to minimize bias in the reviews. The improved of agile software methodology mostly regarding code reusability, usability, project quality, estimation, software delivery, usability, user responses and requirements delivery, communication between members, usability, practical activities, communication between team and stake holder, usability, workflow (learning), problem identification and effort estimation.

scholarly journals Data-Driven Approaches for Circular Economy in Manufacturing for Digital Technologies: A Review of Current Research and Proposed Framework

2018 ◽  
Author(s):  
Okechukwu Okorie ◽  
Konstantinos Salonitis ◽  
Fiona Charnley ◽  
Mariale Moreno ◽  
Christopher Turner ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Review Paper ◽  
Digital Technologies ◽  
Data Driven ◽  
Empirical Literature ◽  
Future Research ◽  
Current Trends

The Circular Economy has been of growing significance within academic, policymaking and industry groups. Latest developments in the field of Circular Economy has led to an expansion of CE studies focused on interrogating CE as a paradigm, its relationship with sustainability and concepts and definitions of the Circular Economy. Research has also identified the significant potential of applying circular approaches to areas of the economy, including manufacturing and Industry 4.0, which, with data, is enabling latest the advances in digital technologies. This is the first review paper to integrate the fields of CE and digital technologies resulting in a framework which provides directions for policymakers and guidance for future research. To achieve this, we conduct a systematic literature review of the empirical literature related to digital technologies, industry 4.0 and circular approaches, from the point of the 9 Rs. The systematic literature review (SLR) is based on peer-reviewed articles published between 2000-2018. The findings reveal that while research on the circular economy has been on an annual rise, research on digital technologies enabled circular economy is still relatively an untouched area of research across all nine (9) circular approaches. As such this is an area rife for further research. This paper also presents illustrative charts and graphs to summarize the current trends in circular economy research in manufacturing. From this, a framework for future circular economy research for manufacturing for digital technologies is proposed.

scholarly journals UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW

2021 ◽  
Vol 1 ◽  
pp. 3289-3298
Author(s):  
Maurice Meyer ◽  
Ingrid Wiederkehr ◽  
Christian Koldewey ◽  
Roman Dumitrescu
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Success Factors ◽  
Data Driven ◽  
Physical Systems ◽  
Usage Phase ◽  
Product Planning ◽  
Decision Making Processes ◽  
Research Questions ◽  
Usage Data

AbstractCyber-physical systems (CPS) are able the collect huge amounts of data about themselves, their users, and their environment during their usage phase. By feeding these usage data back into product planning, manufacturers can optimize their engineering and decision-making processes. Despite promising potentials, most manufacturers still do not analyze usage data within product planning. Also, research on usage data-driven product planning is scarce. Therefore, this paper aims to identify the main concepts, advantages, success factors and challenges of usage data-driven product planning. To answer the corresponding research questions, a comprehensive systematic literature review is conducted. From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and challenges of usage data-driven product planning are presented. The six main concepts and the three taxonomies allow for a deeper understanding of the topic while highlighting necessary future actions and research needs.

Data-driven based HVAC optimisation approaches: A Systematic Literature Review

2021 ◽  
pp. 103678
Author(s):  
Maher Ala’raj ◽  
Mohammed Radi ◽  
Maysam F. Abbod ◽  
Munir Majdalawieh ◽  
Marianela Parodi
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Data Driven
Sign in / Sign up

Export Citation Format

Share Document