Data analytics criteria of IoT enabled smart energy meters (SEMs) in smart cities

2019 ◽  
Vol 13 (2) ◽  
pp. 402-423 ◽  
Author(s):  
Kiran Ahuja ◽  
Arun Khosla
Keyword(s):  
Data Analysis ◽  
Data Analytics ◽  
Design Methodology ◽  
Smart Cities ◽  
Routine Activities ◽  
Practical Implementation ◽  
Research Strategies ◽  
Content Type ◽  
Improve Efficiency ◽  
Data Analytic

Purpose This paper aims to focus on data analytic tools and integrated data analyzing approaches used on smart energy meters (SEMs). Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Design/methodology/approach A few research strategies have been accounted for analyzing the raw data, yet at the same time, a considerable measure of work should be done in making these commercially reasonable. Data analytic tools and integrated data analyzing approaches are used on SEMs. Furthermore, while observing the diverse techniques and frameworks of data analysis of SEM, the authors propose a novel framework for SEM by using gamification approach for enhancing the involvement of consumers to conserve energy and improve efficiency. Advantages of SEM’s are additionally discussed for inspiring consumers, utilities and their respective partners. Findings Consumers, utilities and researchers can also take benefit of the recommended framework by planning their routine activities and enjoying rewards offered by gamification approach. Through gamification, consumers’ commitment enhances, and it changes their less manageable conduct on an intentional premise. The practical implementation of such approaches showed the improved energy efficiency as a consequence.

Engaging with a Laclau & Mouffe informed discourse analysis: a proposed framework

2014 ◽  
Vol 9 (4) ◽  
pp. 351-370 ◽  
Author(s):  
Sara Walton ◽  
Bronwyn Boon
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Iterative Method ◽  
Analytical Method ◽  
Design Methodology ◽  
Discourse Theory ◽  
Content Type ◽  
Political Analysis ◽  
Textual Data ◽  
Data Analytic

Purpose – The purpose of this paper is to present an analytical method through which a political analysis of intra and inter-organizational conflicts may be conducted. Design/methodology/approach – The iterative method of data analysis the paper presents is based on a consolidation of work using Laclau and Mouffe’s discourse theory across both management and organization and social science disciplinary domains. Findings – While the politically orientated discourse theory of Laclau and Mouffe has begun to be used by management and organization researchers, little guidance is available for how to actually conduct the analysis of data using this discourse approach. The method the paper proposes involves making explicit an analytical process for reading available textual data. Originality/value – The value of this paper is primarily for management and organization researchers who are attracted to discourse theory but feel intimidated or confused about how to operationalize this theory into data analytic practice.

What attracts vehicle consumers’ buying

2019 ◽  
Vol 120 (1) ◽  
pp. 57-78 ◽  
Author(s):  
Fuli Zhou ◽  
Ming K. Lim ◽  
Yandong He ◽  
Saurabh Pratap
Keyword(s):  
Big Data ◽  
Operations Management ◽  
Data Analytics ◽  
Design Methodology ◽  
Big Data Analytics ◽  
Content Type ◽  
Consumption Behavior ◽  
Integrated Method ◽  
Data Analytic

Purpose The increasingly booming e-commerce development has stimulated vehicle consumers to express individual reviews through online forum. The purpose of this paper is to probe into the vehicle consumer consumption behavior and make recommendations for potential consumers from textual comments viewpoint. Design/methodology/approach A big data analytic-based approach is designed to discover vehicle consumer consumption behavior from online perspective. To reduce subjectivity of expert-based approaches, a parallel Naïve Bayes approach is designed to analyze the sentiment analysis, and the Saaty scale-based (SSC) scoring rule is employed to obtain specific sentimental value of attribute class, contributing to the multi-grade sentiment classification. To achieve the intelligent recommendation for potential vehicle customers, a novel SSC-VIKOR approach is developed to prioritize vehicle brand candidates from a big data analytical viewpoint. Findings The big data analytics argue that “cost-effectiveness” characteristic is the most important factor that vehicle consumers care, and the data mining results enable automakers to better understand consumer consumption behavior. Research limitations/implications The case study illustrates the effectiveness of the integrated method, contributing to much more precise operations management on marketing strategy, quality improvement and intelligent recommendation. Originality/value Researches of consumer consumption behavior are usually based on survey-based methods, and mostly previous studies about comments analysis focus on binary analysis. The hybrid SSC-VIKOR approach is developed to fill the gap from the big data perspective.

Exploration of factors leading to successful mediation

2017 ◽  
Vol 28 (1) ◽  
pp. 24-49 ◽  
Author(s):  
Yafei Zhang ◽  
Li Chen
Keyword(s):  
Data Analysis ◽  
Design Methodology ◽  
Information Dissemination ◽  
Gold Medal ◽  
Chinese Society ◽  
Content Type ◽  
Effective Factors ◽  
Key Factor ◽  
Contemporary Chinese

Purpose The purpose of this study is to explore possible factors leading to a successful mediation in Chinese mediation shows. In China, media always play an indispensable role in information dissemination, morality advocacy and policy explanation. Design/methodology/approach This paper employed content analysis of 166 episodes of one representative mediation show, Gold Medal Mediation, and regression technique in data analysis. Findings Results of ordinal regression suggested that “secret talking”, rather than transparency, between disputants had significant influence on successful mediation. Function of mediators is limited in reaching full mediation. The effective factors leading to full mediation include compromise of rights, secret talking, attitude of the observer cohort. It suggests that the role of mediator is limited, rather than being over-exaggerated, in successful mediation. The successful mediation is largely dependent on disputants’ motivations. Additionally, “compromise of rights” by disputants is a key factor in solving disputes. Research limitations/implications Findings of this study revealed the role of Chinese mediation shows in propagating mediation in contemporary Chinese society and supporting upheld morality values. Due to the nature of the chosen mediation show, some disputes take more than one episode to solve. However, this study looks at each episode without considering the integrity of the dispute. That is, if the disputes take two episodes, the coder codes the two episodes as two separate disputes instead of looking at it as one dispute. Originality/value By exploring various aspects of mediations shows, including the role of mediators, disputants and a cohort of observers, this study can both explicitly show predicted factors to successful mediations on the shows, and can implicitly examine the power and perceived justification of mediation in contemporary China via media.

Re-defining open government data standards for smart cities’ websites: a case study of selected cities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lnenicka ◽  
Stuti Saxena
Keyword(s):  
Design Methodology ◽  
Smart Cities ◽  
Open Government ◽  
Data Standards ◽  
Content Type ◽  
Open Government Data ◽  
Government Data

Purpose The purpose of this paper is to study the select Smart Cities of Czech and Indian counterparts and assess the extent to which open government data (OGD) standards are being adhered to using select indicators. Design/methodology/approach This study integrates the benchmarking frameworks provided in literature on OGD and apply them to evaluate the OGD standards of the Smart Cities’ websites. Findings Whereas the Czech Smart Cities are relatively more advanced in their OGD initiatives, the Indian counterpart is far lagging behind in their endeavors. Originality/value While there are many studies on OGD and Smart Cities, there has been no study which seeks to appreciate if the OGD initiatives are being adhered to by the Smart Cities.

Using a distributed deep learning algorithm for analyzing big data in smart cities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammed Anouar Naoui ◽  
Brahim Lejdel ◽  
Mouloud Ayad ◽  
Abdelfattah Amamra ◽  
Okba kazar
Keyword(s):  
Big Data ◽  
Deep Learning ◽  
Data Analysis ◽  
Data Storage ◽  
Smart City ◽  
Smart Cities ◽  
Smart Environment ◽  
Data Systems ◽  
Content Type ◽  
Big Data Systems

PurposeThe purpose of this paper is to propose a distributed deep learning architecture for smart cities in big data systems.Design/methodology/approachWe have proposed an architectural multilayer to describe the distributed deep learning for smart cities in big data systems. The components of our system are Smart city layer, big data layer, and deep learning layer. The Smart city layer responsible for the question of Smart city components, its Internet of things, sensors and effectors, and its integration in the system, big data layer concerns data characteristics 10, and its distribution over the system. The deep learning layer is the model of our system. It is responsible for data analysis.FindingsWe apply our proposed architecture in a Smart environment and Smart energy. 10; In a Smart environment, we study the Toluene forecasting in Madrid Smart city. For Smart energy, we study wind energy foresting in Australia. Our proposed architecture can reduce the time of execution and improve the deep learning model, such as Long Term Short Memory10;.Research limitations/implicationsThis research needs the application of other deep learning models, such as convolution neuronal network and autoencoder.Practical implicationsFindings of the research will be helpful in Smart city architecture. It can provide a clear view into a Smart city, data storage, and data analysis. The 10; Toluene forecasting in a Smart environment can help the decision-maker to ensure environmental safety. The Smart energy of our proposed model can give a clear prediction of power generation.Originality/valueThe findings of this study are expected to contribute valuable information to decision-makers for a better understanding of the key to Smart city architecture. Its relation with data storage, processing, and data analysis.

Investigating the effects of operators on warranty cost under sales delay conditions

2018 ◽  
Vol 24 (2) ◽  
pp. 244-259
Author(s):  
Sepideh Eskandari Dorabati ◽  
Ali Zeinal Hamadani ◽  
Hamed Fazlollahtabar
Keyword(s):  
Data Analysis ◽  
Design Methodology ◽  
Claims Data ◽  
Time Interval ◽  
Content Type ◽  
Proposed Model ◽  
Warranty Cost ◽  
Warranty Costs ◽  
Warranty Claims ◽  
Claims Data Analysis

Purpose Due to the fact that the non-standard products, being used by customers, may cause failures in products with sales delays, which naturally affect the warranty policy. Thus, it seems to be necessary to study these two concepts simultaneously. The paper aims to discuss these issues. Design/methodology/approach In this paper, a model is developed for estimating the expected warranty costs under sales delay conditions when two operator costs (failing but not reported and non-failing but reported) are included. Findings The proposed model is validated using a numerical example for a two types of intermittent and fatal failures occur under a non-renewing warranty policy. Originality/value Sales delay is the time interval between the date of production and the date of sale. Most reported literature on warranty claims data analysis related to sales delay have mainly focussed on estimating the probability distribution of the sales delay.

Optimal supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Data Analytics ◽  
Business Performance ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Internal Dynamic ◽  
Content Type ◽  
Combining Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Companies can enhance their supply chain by combining data analytics and the digitization of activities. Manager focus on internal dynamic capabilities and effectiveness of data acquisition and utilization increases the possibility of improved operational and business performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Uncertain risk: assessing open data signals

2020 ◽  
Vol 14 (4) ◽  
pp. 623-637
Author(s):  
Anne L. Washington
Keyword(s):  
Information Asymmetry ◽  
Data Analytics ◽  
Design Methodology ◽  
Open Data ◽  
Digital Government ◽  
Content Type ◽  
Information Signaling ◽  
Future Value ◽  
Data Signal

Purpose Open data resources contain few signals for assessing their suitability for data analytics. The purpose of this paper is to characterize the uncertainty experienced by open data consumers with a framework based on economic theory. Design/methodology/approach Drawing on information asymmetry theory about market exchanges, this paper investigates the practical challenges faced by data consumers seeking to reuse open data. An inductive qualitative analysis of over 2,900 questions asked between 2013 and 2018 on an internet forum identified how a community of 15,000 open data consumers expressed uncertainty about data sources. Findings Open data consumers asked direct questions that expressed uncertainty about the availability, interoperability and interpretation of data resources. Questions focused on future value and some requests were devoted to seeking data that matched known sources. The study proposes a data signal framework that explains uncertainty about open data within the context of control and visibility. Originality/value The proposed framework bridges digital government practice to information signaling theory. The empirical evidence substantiates market aspects of open data portals. This paper provided a needed case study of how data consumers experience uncertainty. The study integrates established theories about risk to improve the reuse of open data.

What prompts users to click on news headlines? Evidence from unobtrusive data analysis

2019 ◽  
Vol 72 (1) ◽  
pp. 49-66 ◽  
Author(s):  
Tingting Jiang ◽  
Qian Guo ◽  
Shunchang Chen ◽  
Jiaqi Yang
Keyword(s):  
Data Analysis ◽  
Design Methodology ◽  
Information Science ◽  
Online News ◽  
Clickstream Data ◽  
Content Type ◽  
Text Length ◽  
News Selection ◽  
Log File ◽  
News Headlines

Purpose The headlines of online news are created carefully to influence audience news selection today. The purpose of this paper is to investigate the relationships between news headline presentation and users’ clicking behavior. Design/methodology/approach Two types of unobtrusive data were collected and analyzed jointly for this purpose. A two-month server log file containing 39,990,200 clickstream records was obtained from an institutional news site. A clickstream data analysis was conducted at the footprint and movement levels, which extracted 98,016 clicks received by 7,120 headlines ever displayed on the homepage. Meanwhile, the presentation of these headlines was characterized from seven dimensions, i.e. position, format, text length, use of numbers, use of punctuation marks, recency and popularity, based on the layout and content crawled from the homepage. Findings This study identified a series of presentation characteristics that prompted users to click on the headlines, including placing them in the central T-shaped zones, using images, increasing text length properly for greater clarity, using visually distinctive punctuation marks, and providing recency and popularity indicators. Originality/value The findings have valuable implications for news providers in attracting clicks to their headlines. Also, the successful application of nonreactive methods has significant implications for future user studies in both information science and journalism.

The value-orientations of Catholic and Buddhist entrepreneurs

2017 ◽  
Vol 44 (12) ◽  
pp. 2428-2449 ◽  
Author(s):  
Gábor Kovács
Keyword(s):  
Design Methodology ◽  
Empirical Investigation ◽  
Qualitative Content Analysis ◽  
Qualitative Comparative Analysis ◽  
Value Orientations ◽  
Social Teaching ◽  
Practical Implementation ◽  
Spiritual Values ◽  
Content Type ◽  
Economic Framework

Purpose The purpose of this paper is to explore and compare the core operating values of Catholic and Buddhist entrepreneurs. Design/methodology/approach The study is an empirical investigation of the value-orientations of Catholic and Buddhist entrepreneurs in Hungary. By applying qualitative content analysis, document analysis and qualitative comparative analysis, the study presents the distinctive spiritual values in business. Findings Regardless of their different approach, Catholic and Buddhist value-orientations are implemented in the same value-dimensions that are: the ontological conceptions, procedural aspects, and the other-directedness of business activities. Social implications The findings substantiate the understanding of the behavior and the motivations of spiritually value-oriented entrepreneurs, furthermore Catholic and Buddhist values may serve as inspirations of genuine ethical behavior in business. By promoting these values a more ethical, more sustainable economic framework can be established. Originality/value Spiritual values are studied by comparing the value-orientations of Catholic and Buddhist entrepreneurs. Furthermore, the study explores Catholic social teaching and Buddhist economics, and their practical implementation in a comparative way.

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