Energy-Oriented Production Planning in Industry: A Systematic Literature Review and Classification Scheme

2021 ◽  
Vol 13 (23) ◽  
pp. 13317
Author(s):  
Hajo Terbrack ◽  
Thorsten Claus ◽  
Frank Herrmann

Scarcity of resources, structural change during the further development of renewable energy sources, and their corresponding costs, such as increasing resource costs or penalties due to dirty production, lead industrial firms to adapt ecological actions. In this regard, research on energy utilization in production planning has received increased attention in the last years, resulting in a large number of research articles so far. With the paper at hand, we review the literature on energy-oriented production planning. The aim of this study is to derive similar core issues and related properties along energy-oriented models within hierarchical production planning. For this, we carry out a systematic literature review and analyze and synthesize 375 research articles. We classify the underlying literature with a novel two-dimensional classification scheme and identify three key topics and five frequently found characteristics, which are presented in detail throughout this article. Based on these results, we state several potentials for further research.

2021 ◽  
pp. 097215092098485
Author(s):  
Sonika Gupta ◽  
Sushil Kumar Mehta

Data mining techniques have proven quite effective not only in detecting financial statement frauds but also in discovering other financial crimes, such as credit card frauds, loan and security frauds, corporate frauds, bank and insurance frauds, etc. Classification of data mining techniques, in recent years, has been accepted as one of the most credible methodologies for the detection of symptoms of financial statement frauds through scanning the published financial statements of companies. The retrieved literature that has used data mining classification techniques can be broadly categorized on the basis of the type of technique applied, as statistical techniques and machine learning techniques. The biggest challenge in executing the classification process using data mining techniques lies in collecting the data sample of fraudulent companies and mapping the sample of fraudulent companies against non-fraudulent companies. In this article, a systematic literature review (SLR) of studies from the area of financial statement fraud detection has been conducted. The review has considered research articles published between 1995 and 2020. Further, a meta-analysis has been performed to establish the effect of data sample mapping of fraudulent companies against non-fraudulent companies on the classification methods through comparing the overall classification accuracy reported in the literature. The retrieved literature indicates that a fraudulent sample can either be equally paired with non-fraudulent sample (1:1 data mapping) or be unequally mapped using 1:many ratio to increase the sample size proportionally. Based on the meta-analysis of the research articles, it can be concluded that machine learning approaches, in comparison to statistical approaches, can achieve better classification accuracy, particularly when the availability of sample data is low. High classification accuracy can be obtained with even a 1:1 mapping data set using machine learning classification approaches.


2021 ◽  
Vol 13 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Karen Schrier ◽  
Matthew Farber

Scholarship on the intersection of games and empathy is limited. However, over the past decade peer-reviewed articles have started to be published in this area. This study investigates this emerging scholarship on empathy and games to understand how researchers are describing, defining and communicating their work. For example, how are research articles about games defining empathy? From which disciplines are the researchers framing their studies? Which types of games are being used in the investigations? Forty-nine articles were found, coded and analysed by searching six different databases. For this investigation, each article was analysed based on the discipline, keyword(s) used to find the article, definition(s) of empathy used, types of games used in the article and the themes used in the article. Articles emerged from twelve different disciplines and described over thirteen different types of empathy. Findings were shared, as well as recommendations for researchers studying this area.


2020 ◽  

Business incubation initiatives have gained increased attention of researchers, practitioners, and policymakers due to its unique ability to provide a conducive environment that develops and accelerates entrepreneurship. University-based incubation centers have become an essential part of the entrepreneurship support services at campuses to offer critical support and provide various services to newly established start-ups. Recognizing the importance of university incubation centers, researchers are studying various aspects related to university-based business incubators to promote entrepreneurship among university students. In this study, a systematic literature review on university business incubators is conducted on 61 research articles selected after a rigorous process from three databases (ISI-Web of Knowledge, Taylor & Francis, Emerald). Studies were analyzed to answer four main questions related to university business incubators' methodological considerations, proximal and distant outcomes, theoretical lenses, and major research streams. Results revealed that the majority of the research is being done in European countries and the majority of research articles (50%) were published in 2017 to 2019 most having qualitative designs that indicate the importance of campus-based incubation initiatives to promote entrepreneurship. Proximal and distant outcomes revealed various factors at individual, team, firm, institutional, and policy levels. Institutional, network, and resource based-view (RBV) is the main theoretical underpinnings focused on institutional and firm-level studies. This study contributed by analyzing, summarizing, and evaluating UBI’s literature concerning methodological considerations, proximal and distant outcomes, and trend of major research streams. Key Words; University, Business, Incubation, Entrepreneurship, Start-ups


Author(s):  
Sharifah Nurafizah Syed Annuar ◽  
Imbarine Bujang

Objective- The objectives of this paper are to determine bases in segmenting organ donors and to examine potential variables that could be used to segment and target potential organ donors. Methodology/Technique To understand the complexities of the characteristics of potential organ donors in Malaysia, it is important that a systematic Literature Review be conducted. Research articles are searched from selected databases using certain keywords and articles met inclusion criteria are reviewed. This paper contributes to the understanding about the importance of food allergy awareness among public. Findings - Based on this review study, it was found the elders, men, individuals with higher educational level and reside in urban localities are more likely to become organ donors. Therefore, appropriate programs should be targeted to these groups. Novelty - The paper used systematic literature review to re-examine the characteristics of potential organ donors and group the potential organ donors in Malaysia using common segmentation bases. This paper contributes to marketing literature and provides insights to relevant authorities in designing Organ Donation Campaigns. Type of Paper Conceptual Keywords: Market Segmentation; Organ Donations; Malaysia; Demographic; Geographic; Psychographic; Behavioural.


Author(s):  
Norin Arshed ◽  
Mike Dansen

It is important to demonstrate and critically analyse your understanding of the literature within your chosen field of study or research. The chapter highlights the different types of literature reviews: the traditional literature review versus the systematic literature review. The literature review is often essential in establishing what is known about a subject area, and by association what is not yet known, allowing you to understand and explore gaps in knowledge by appraising, encapsulating, comparing, contrasting, and correlating scholarly books, research articles, reports and various other sources of information. This chapter provides guidance on undertaking a literature review by highlighting the key stages of the process: selecting a topic, searching the literature, reading and reviewing the literature, critiquing the literature, evaluating the literature, and finally writing the literature review. The aim of this chapter is to offer a clear, concise and structured way of undertaking a literature review to establish your theoretical framework and methodological focus.


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