Enhancing Quality across Industries: A Systematic Literature Review on the Impact of Six Sigma

Ahmad Syamil,Mohammad Ichsan,Muhammad Syahrazly,Maharani Putri Fadjar,Irza Raihan Revidia People&Global Business Association 2023 Global Business and Finance Review Vol.28 No.7

Purpose: The objective of this study is to conduct a systematic literature review on the impact of Six Sigma in various industries. Design/methodology/approach: A total of 83 articles from respected international journals published between 2015 and 2020 were selected and analyzed. The inclusion criteria ensured that the articles focused on quality improvement using the Six Sigma approach and were published by reputable publishers. Findings: The f indings of the s tudy reveal that manufacturing emerged as the most prevalent sector, with 17 studies dedicated to it. Among the selected articles, case studies were the most employed research method, accounting for 59 studies. Moreover, the study highlights the primary benefits associated with implementing Six Sigma. The most notable benefit is the reduction of defect rates, followed by improvements in efficiency and cost reduction. the primary benefit of Six Sigma is the reduction of defects (52 cases or 42.75%), followed by improvement in efficiency (49 cases or 37.40%), and then cost reduction (26 cases or 19.85%). Research limitations/implications: Based on the results, the study recommends that organizations adopt Six Sigma to enhance the quality of their processes, increase efficiency, and minimize costs. Originality/value: T his recommendation is p articularly relevant f or t he m anufacturing s ector, which s howcased the highest concentration of research studies in the literature.

Challenges in Distributed Agile Software Development Environment: A Systematic Literature Review

( Imran Ghani ),( Angelica Lim ),( Muhammad Hasnain ),( Israr Ghani ),( Muhammad Imran Babar ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.9

Due to increasing interest in distributed agile software development, there is a need to systematically review the literature on challenges encountered in the agile software development environment. Using the Systematic Literature Review (SLR) approach, 32 relevant publications, dated between 2013 and 2018 were selected from four electronic databases. Data from these publications were extracted to identify the key challenges across the system development life cycle (SDLC) phases, which essentially are short phases in each agile-based iteration. 5 types of key challenges were identified as impacting the SDLC phases; these challenges are Communication, Coordination, Cooperation, Collaboration and Control. In the context of the SLDC phases, the Communication challenge was discussed the most often (79 times, 33%). The least discussed challenges were Cooperation and Collaboration (26 times, 11% each). The 5 challenges occur because of distances which occur in distributed environment. This SLR identified 4 types of distances which contribute to the occurrence of these key challenges - physical, temporal, social-cultural and knowledge/experience. Of the 32 publications, only 4 included research which proposed new solutions to address challenges in agile distributed software development. The authors of this article believe that the findings in this SLR are a resource for future research work to deepen the understanding of and to develop additional solutions to address the challenges in distributed agile software development.

Cryptography for Privacy in a Resource-Constrained IoT: A Systematic Literature Review

Fredy Mendoza-Cardenas,Andres J. Aparcana-Tasayco,Rai Stiv Leon-Aguilar,Jose Luis Quiroz-Arroyo 대한전자공학회 2022 IEIE Transactions on Smart Processing & Computing Vol.11 No.5

The Internet of Things (IoT) is intelligent devices connected to a network, which enables collection, transmission, and processing of real-world data. IoT applications make extensive use of resource-constrained devices. These applications work with critical data that need confidentiality and privacy during transmission. In this resource-constrained scenario, lightweight cryptography is a tool to ensure confidentiality, privacy, and data integrity. The number of research papers on cryptography in a resource-constrained IoT has increased over three years. A systematic literature review (SLR) is a search for papers and answers on relevant questions for researchers in their area of interest. This study applies an SLR based on the Kitchenham and PRISMA guidelines to analyze the influence of cryptography on privacy in a resource-constrained IoT. The most relevant results show that the number of papers published on the topic in the years 2019-2021 has increased, that most of the papers found in the review were in IEEE Access, and that the most frequent words in the titles and abstracts were lightweight, IoT, encryption, and scheme. Moreover, most of the research was developed on the Asian continent. This study concludes that cryptography for privacy in a resource-constrained IoT is a developing area of research.

공급망 중단의 원인별 회복탄력성 전략과 정보기술의 역할: 문헌 조사

김세인,김성수 한국SCM학회 2023 한국SCM학회지 Vol.23 No.2

Existing studies analyzed resilience from supply chain disruptions and the role and impact of information technology in the supply chain from various perspectives. However, very few studies have comprehensively examined the relationship between the effectiveness of resilience and the role of information technology in response to supply chain disruptions. his study aims to examine the role and impact of information technology through literature surveys, focusing on resilience strategies that are effective in disrupting supply chains. Effective resilience strategies were reviewed by dividing supply chain disruptions by cause and impact, and information technology that positively affects them was presented. Therefore, this study is expected to contribute to establishing the insights and effective and systematic strategies needed to recover from supply chain disruptions that may occur for various reasons.

Latest Transformations of XP Process Model: A Systematic Literature Review

Khan, Sadia,Fahiem, Muhammad Abuzar,Bakhtawar, Birra,Aftab, Shabib,Ahmad, Munir,Aziz, Nauman,Almotilag, Abdullah,Elmitwally, Nouh Sabri International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6

Process model is an integral part of software industry. Different process models are used now a days in the industry for different software projects. Process models need to be tailored to address some specific project needs. Agile models are considered as the most widely used process models nowadays. They have distinctive features and the ability to address the dynamic needs of today's software development. Extreme programming (XP) is one of the extensively used agile process model especially for small projects. Many researchers have tried to mold XP to overcome its shortcomings and for better working in specific scenarios. Therefore, many customized versions of XP process model are available today. In this paper, we are going to analyze the latest customizations of XP. For this purpose, a systematic literature review is conducted on studies published from 2012 till 2018 in renowned online search libraries. This comprehensive review highlights the purpose of customizations, along with the areas in which customizations are made, and phases & practices which are being customized. This work will serve the researchers to discover the modern versions of XP process model as well as will provide a baseline for future directions for customizations.

Effect of Human Related Factors on Requirements Change Management in Offshore Software Development Outsourcing: A theoretical framework

Mehmood, Faisal,Zulfqar, Sukana Institute of Information Science and Technology 2021 Soft computing and machine intelligence Vol.1 No.1

Software development organizations are globalizing their development activities increasingly due to strategic and economic gains. Global software development (GSD) is an intricate concept, and various challenges are associated with it, specifically related to the software requirement change management Process (RCM). This research aims to identify humans' related success factors (HSFs) and human-related challenges (HCHs) that could influence the RCM process in GSD organizations and propose a theoretical framework of the identified factors concerning RCM process implementation. The Systematic Literature Review (SLR) method was adopted to investigate the HSFs and HCHs. Using the SLR approach, a total of 10 SFs and 10 CHs were identified. The study also reported the critical success factors (HCSFs) and critical challenges (HCCHs) for RCM process implementation following the factors having a frequency 50% as critical. Our results reveal that five out of ten HSFs and 4 out of ten HCHs are critical for RCM process implementation in GSD. Finally, we have developed a theoretical framework based on the identified factors that indicated a relationship among the identified factors and the implementation of the RCM process in the context of GSD. We believe that the results of this research can help tackle the complications associated with the RCM in GSD environment, which is vigorous to the success and progression of GSD organizations.

Machine Learning for Management in Software-defined Networks: A Systematic Literature Review

Andres J. Aparcana-Tasayco,Javier Gamboa-Cruzado 대한전자공학회 2022 IEIE Transactions on Smart Processing & Computing Vol.11 No.6

Software-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on using these two variables has increased in recent years. Therefore, a systematic literature review based on Kitchenham’s guidelines and PRISMA guidelines is necessary. The review included publications from between 2016 and 2021. The study recorded 21,743 primary articles, and after applying rigorous exclusion and quality criteria, 81 articles were obtained. The results show the most productive authors, such as Julong, as well as the relationships between the most productive authors and the keywords “SDN” and “Machine Learning,” which are the most used among researchers.

A bibliometric analysis of agricultural vulnerability in the context of climate change from 2010 to 2021

Sarda Rajesh,Gonencgil Barbaros,Halder Somenath,Kumar Pankaj 대한공간정보학회 2024 Spatial Information Research Vol.32 No.3

Climate change is a genuine issue threatening the presence of species and livelihoods, consequently causing the vulnerability. Agricultural vulnerability is seriously undermined by regular disasters, caused by climate change. Therefore, researchers and policymakers are showing their interest in the effect of climate change on agricultural vulnerability through publishing research works. This study aims to perform a bibliometric analysis of climate change-induced agricultural vulnerability using the Web of Science and Scopus databases, and PRISMA method. The study highlights the current trend, hot-spot area, and their development through a literature dataset taken into consideration from 2010 to 2021. The outcome showed that the USA, UK, Australia, and China are the countries with high publications potentials. Consequently, there has been a significant increase ( R2 = 0.90) in highlighted research area (2010–2021). The findings revealed that climate change and agricultural vulnerability research expanded gradually into different subject categories. The most frequent keywords were ‘climate change,’ ‘vulnerability,’ ‘adaptation,’ and ‘agriculture.’ The result showed that five clusters displayed the co-occurrences of term map. With the help of each clustering group, development of the respective research field can be smartly analyzed. Based on the findings, several research gaps are identified and offer opportunities for further studies.