scholarly journals Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

2019 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Francesco Leotta ◽  
Massimo Mecella ◽  
Daniele Sora ◽  
Tiziana Catarci
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Visual Analysis ◽  
Future Research ◽  
Specific Method ◽  
Human Intervention ◽  
Smart Space ◽  
Smart Spaces ◽  
Research Questions

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field.

scholarly journals Sustainable, Smart, and Sensing Technologies for Cyber-Physical Manufacturing Systems: A Systematic Literature Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5495
Author(s):  
Mihai Andronie ◽  
George Lăzăroiu ◽  
Roxana Ștefănescu ◽  
Cristian Uță ◽  
Irina Dijmărescu
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Data Driven ◽  
Smart Manufacturing ◽  
Production Networks ◽  
Production Logistics ◽  
Time Production

With growing evidence of the operational performance of cyber-physical manufacturing systems, there is a pivotal need for comprehending sustainable, smart, and sensing technologies underpinning data-driven decision-making processes. In this research, previous findings were cumulated showing that cyber-physical production networks operate automatically and smoothly with artificial intelligence-based decision-making algorithms in a sustainable manner and contribute to the literature by indicating that sustainable Internet of Things-based manufacturing systems function in an automated, robust, and flexible manner. Throughout October 2020 and April 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “Internet of Things-based real-time production logistics”, “sustainable smart manufacturing”, “cyber-physical production system”, “industrial big data”, “sustainable organizational performance”, “cyber-physical smart manufacturing system”, and “sustainable Internet of Things-based manufacturing system”. As research published between 2018 and 2021 was inspected, and only 426 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 174 mainly empirical sources. Further developments should entail how cyber-physical production networks and Internet of Things-based real-time production logistics, by use of cognitive decision-making algorithms, enable the advancement of data-driven sustainable smart manufacturing.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals Internet of Things in Asset Management

2018 ◽  
Vol 9 (2) ◽  
pp. 104-119 ◽  
Author(s):  
Sini-Kaisu Kinnunen ◽  
Antti Ylä-Kujala ◽  
Salla Marttonen-Arola ◽  
Timo Kärri ◽  
David Baglee
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Spare Parts ◽  
Future Research ◽  
Frequency Identification ◽  
Preliminary Study ◽  
Smart Factories ◽  
Factories Of The Future

The emerging Internet of Things (IoT) technologies could rationalize data processes from acquisition to decision making if future research is focused on the exact needs of industry. This article contributes to this field by examining and categorizing the applications available through IoT technologies in the management of industrial asset groups. Previous literature and a number of industrial professionals and academic experts are used to identify the feasibility of IoT technologies in asset management. This article describes a preliminary study, which highlights the research potential of specific IoT technologies, for further research related to smart factories of the future. Based on the results of literature review and empirical panels IoT technologies have significant potential to be applied widely in the management of different asset groups. For example, RFID (Radio Frequency Identification) technologies are recognized to be potential in the management of inventories, sensor technologies in the management of machinery, equipment and buildings, and the naming technologies are potential in the management of spare parts.

Application of semantic technologies in bibliographic databases

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137
Author(s):  
Tsvetanka Georgieva-Trifonova ◽  
Kaloyan Zdravkov ◽  
Donika Valcheva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Keyword Search ◽  
Bibliographic Databases ◽  
Future Research ◽  
Semantic Technologies ◽  
Scientific Review ◽  
Content Type ◽  
Research Questions

Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

scholarly journals The Unified Theory Acceptance and Use of Technology in the Industrial Internet of Things Era: A Conceptual Framework

2020 ◽  
Author(s):  
Nugroho Ridhwan ◽  
Edi Purwanto
Keyword(s):  
Internet Of Things ◽  
Literature Review ◽  
Social Influence ◽  
Conceptual Framework ◽  
Behavioral Intention ◽  
Cultural Dimensions ◽  
Future Research ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Hofstede’S Cultural Dimensions

The purpose of this article is to build a conceptual framework based on literature review that will be tested in future research related to Digital Business. The results of the literature review allow for the construction of hypotheses into a conceptual framework. Furthermore, the study assesses the influence of performance expectations, efforts expectations and social influence on behavioral intention and usage behavior by modifying Hofstede’s cultural dimensions. The conceptual framework will be tested among Industrial Internet of Things (IIoT) users for future research in Indonesia. Keywords: performance expectancy, effort expectancy, social influence, behavioral intention, use behavior, UTAUT, Hofstede’s cultural dimensions, Industrial IoT

scholarly journals AI-Enabled Sensing and Decision-Making for IoT Systems

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hao Qinxia ◽  
Shah Nazir ◽  
Ma Li ◽  
Habib Ullah ◽  
Wang Lianlian ◽  
...  
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Research Community ◽  
Smart Sensors ◽  
Future Research ◽  
New Paradigm ◽  
Exclusion Criteria ◽  
Intelligent Devices ◽  
Research Questions

The influential stage of Internet of Things (IoT) has reformed all fields of life in general but specifically with the emergence of artificial intelligence (AI) has drawn the attention of researchers into a new paradigm of life standard. This revolution has been accepted around the globe for making life easier with the use of intelligent devices such as smart sensors, actuators, and many other devices. AI-enabled devices are more intelligent and capable of doing a specific task which saves a lot of resources and time. Different approaches are available in the existing literature to tackle diverse issues of real life based on AI and IoT systems. The role of decision-making has its own importance in the AI-enabled and IoT systems. In-depth knowledge of the existing literature is dire need of the research community to summarize the literature in effective way by which practitioners and researchers can benefit from the prevailing proofs and suggest new solutions for solving a particular problem of AI-enabled sensing and decision-making for the IoT system. To facilitate research community, the proposed study presents a systematic literature review of the existing literature, organizes the evidences in a systematic way, and then analyzes it for future research. The study reported the literature of the last 5 years based on the research questions, inclusion and exclusion criteria, and quality assessment of the selected study. Finally, derivations are drawn from the included paper for future research.

scholarly journals A Systematic Review of the Influence of Internal Marketing on Service Innovation

2020 ◽  
Vol 13 (9) ◽  
pp. 207
Author(s):  
Soheila Raeisi ◽  
Nur Suhaili Ramli ◽  
Meng Lingjie
Keyword(s):  
Systematic Review ◽  
Organizational Learning ◽  
Literature Review ◽  
Thematic Analysis ◽  
Service Innovation ◽  
Internal Marketing ◽  
Future Research ◽  
Research Questions ◽  
The Relationship ◽  
Practical Implications

This paper aims aimed to present the trends of the literature review in internal marketing and service innovation between 1990 and 2016. The significant reason to conduct this research is that significant variables of internal marketing to link with service innovation are not clearly defined. This research yielded 22 systematic reviews of articles in the Scopus library and adopted a thematic analysis to analyze the data collected. This study provides provided answers to research questions by elaborating on overall trends, objectives, theoretical framework, methodologies, and potential variables that strongly connect between internal marketing and service innovation. While sample sizes are limited to this paper, it suggests suggested fruitful recommendations for future research to overcome this limitation. This research has had two practical implications for managers to redefine their roles and the relationship between members of the organization and to help managers and the firms to consider internal marketing efforts towards motivation, organizational culture, and organizational learning.

Behavioural biases in investment decision making – a systematic literature review

2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Investment Decision ◽  
Future Research ◽  
Behavioural Finance ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose – The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research. Design/methodology/approach – We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013. Findings – Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias. Research limitations/implications – This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. Originality/value – The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

Cabinet Decision-making in Parliamentary Systems

2020 ◽  
pp. 437-459
Author(s):  
Michelangelo Vercesi
Keyword(s):  
Decision Making ◽  
Power Distribution ◽  
Future Research ◽  
Decision Making Process ◽  
Prime Ministers ◽  
Main Research ◽  
Collective Decisions ◽  
Parliamentary Systems ◽  
Research Questions

This chapter deals with the internal decision-making process of political executives in parliamentary systems, that is, how executives take their own collective decisions. The focus is on the cabinet system as a whole, including both cabinet members and other involved party-political and bureaucratic actors. In particular, the chapter reviews literature’s debates about the nature of cabinet government, the role of prime ministers, and variations of decision-making. A special attention is payed to factors explaining intra-cabinet power distribution and the choice of different decision-making arenas. After introducing the topic, an overview of conceptual issues and main research questions is provided. Subsequently, the work discusses the way in which scholars have addressed these issues and the findings they have reached. The final part stresses existing deficits and seeks to set the agenda for future research.

Sign in / Sign up

Export Citation Format

Share Document