1006
An Implementation Over Auto Career Prediction
Based On Users Behaviour Analysis Attributes
Ruchi Jain, Dr. Vikash Kumar SinghAbstract: Student behavior makes an important role in its career. Many attributes gives the indication of users interest towards partic ular stream as well as self-employed startup orientation. As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area their interests and capabilities are going to put them in. This will help them in improving their performance and motivating their interests so that they will be directed towards their targeted career and get settled in that [20]. Also recruiters while recruiting the candidates after assessing them in all different aspects, these kind of career recommender systems help them in deciding in which job role the candidate should be kept in based on his/her performance and other evaluations. Career indecision is a difficult obstacle confronting adolescents. Traditional vocational assessment research measures it by means of questionnaires and diagnoses the potential sources of career indecision. Based on the diagnostic outcomes, career counselors develop treatment plans tailored to students. However, because of personal motives and the architecture of the mind, it may be difficult for students to know themselves, and the outcome of questionnaires may not fully reflect their inner states and statuses.
Keywords: -Sustainable Employability, Sustainable development, Economic, Ecological, job provider, logical attributes, Entrepreneurship, Leading attributes.
————————————————————
I INTRODUCTION
India is developing country and aspirant of developed countries. For being prosperous sustainability is required.Sustainable development has four dimensions: Economic, Financial, Social and EcologicalSustainable Development. From the economic perspective, sustainability implies competitive production structure with technological innovations as a major driver.From the financial aspect, sustainability can be attained by avoiding the huge internal and external imbalances as well as controlling speculative finance with tight regulations [18].
Social Sustainability can be acquired by eradicating crony capitalism and establishing effective, transparent and accountable government, simultaneously generating employment for all in order to obtain opportunities for progressive social and economic mobility [32]. in ecological terms, sustainability demands the
adoption of low- carbon systems of production and consumption
Employment Rate
The precise picture of the employment in the country must be analysed for the solution to the problem and to attain full employment is as follows:
According to International Labour Organization (ILO), the number of unemployed persons was found to be 18.3 millions in 2017 and was increased up to 18.6 million in 2018 and is expected to rise up to 18.9 millions in 2019 [19] .
According to the current scenario, even the underemployed must also be treated as unemployed in terms of underutilization of the labour time but the lower income group person those who are working can be excluded from this group.
Generally, most of the employed whose contribution is more than 90% of total population lacks social security benefits and are deprived of support and institutional benefits whereas mere 8% of the population is in secured sector.
The prevailing workforce have insufficient educational profile as well as lacks the appropriate skill [32].
The last and most important consideration is to reduce the growth rate in population.
Sustainable Employability
According to Ministry of Social Development (MSD) solicits " to procure the person into work, engage them in work for longer duration and to provide opportunities for the clients to elevate their job profile over time."
Government have posed many promises and polices for the employment but unable to meet the expectations. Some of the statistics which depicts the problem of unemployment
In India, the learner and industry has a huge skill gap. The current working population lies under the range of 15-59 years, and under education spectrum around 470+ million labour force exists [33].
Ubiquitous Human Computing
Ubiquitous Human Computing also referred as "ubicomp―
According to Mark Weiser, "Ubiquitous computing is the method of enhancing computer use by making many computers available throughout the physical environment, but making them effectively invisible to the user‖.
_____________________________________
Ruchi Jain ,Dr. Vikash Kumar Singh IGNTU, AmarkantakHead, Dept. of Computer Science,
It is the new generation of technology which is a subset of Human Computer Interaction Technologies. The Human-Computer Interaction models deals with the command user interface or Graphical User Interface are obsolete now a days. In this genre, the tens or hundreds of computing
devices must be operated by/in per person or per room. And at the same time, it should not be a visible part of the environment.
There are three basic forms of ubiquitous system devices which are tabs, pads and boards.
The ubicomp will be responsible for reduction in usage of physical devices as it may use any device anywhere unlike desktop computing with format portability everywhere.
Ubiquitous computing also termed as pervasive computing encourages the use of embedded computational capability.
There are some basic characteristics of ubicomp which are as follows:
It is invisible to the user.
It emphasizes more on work rather on technology. It supports multimodal interaction with the user and
simultaneously adaptive to the environment. It even supports communication like human to
human, that is, natural interactions.
The dynamic connection is available every time. It is always in learning process and therefore
promotes seamlessness [30].
Elements of Unicom
The following are the elements of Ubiquitous Human Computing:
Nanotechnology: The current trends enforces the usage of the miniature form of devices with powerful computing ability. Thus, many transistors are incorporated into a device and empowering it into small package [21].
Wireless Computing: It is the means to connect the computing device into the network it promotes the hassles of the cables which is supposed to access network and communication services within the reach of the wireless network.
Context-Awareness: The computer will recognize the need of the user according to their present situation to offer resources, services or information demanded by the user for that specified context. Many attributes are considered, which can be personnel or professional or related to the working environment [27].
Natural Interaction: The user is not bothered about the process of retrieval of information and need not worried about the semantic and syntax of that information. The user can multitask and giving all its hassles to the computer.
II LITEREATURE REVIEW
1008 shunned by the personal service [31]. The practical
experimental results of the AIAS humiliate the personalization of the work, to create just the right tools, to reduce the working areas of the workforce and workmen. The anticipated system is also widely accommodated in homes, and improves the performance of talented people through debt and continuous checks in the year 2012 [29]. Applications and resuscitations, which will retrieve and retrieve any of the erased database (database) are:
Ending the background of talents to social qualifications, hobbies, interest.
All social and mythic mice were identified, notwithstanding that their emotions in ethnic cultures lead.
In co-operation with colleagues and family. This periodic degradation and democracy. Skewed support based on higher qualification. Same Provide rescheduling for repairs in
community executives.
Include failing sister fixes based on names, photo, email, phone numbers and other factors.
[14]L. A. Overbey, G. McKoy, J. Gordon, and S. McKitrick,This paper presents is that a study on the criminality or terrorist group's reconsideration is considered to be worthwhile to earn in the virtual environment. In addition, a method for gathering, storing and analysing information for the content of the virtual world is required. As the first law, data dating projects were created in virtual lives at Second Life (SL). These devices can provide one of the most widely used data in avatars in SL, and such information is provided in an external database. Data from the database can then be analysed with SNA [25]. Virtual worlds pose a particular problem in cyber-intelligence intelligence. The fall and true nature of communication in the virtual world is one of those problems. Another brand is called the cars and other words, it lies in the world context problem in the virtual world. It is reasonable to obtain automated resources for the real-life motivation of the customer, employing virtual worlds. Many groups, which identify as "terrorists", were often spelled in virtual games. The language of the world as a world, and the confidence in the Motivation of the Tanner, were so called [26]. A method-enhancing application that automates and manages virtual world management can easily master most of the facilities and / or activities of remote and hidden networks, while context, language and content are fully understood 2010. [15]Thomas Hofmann,This paper presentsusing a temperature-controlled version of the Extraction Maximization algorithm that delivers great performance in practice. The probabilistic latent semantic analysis has many applications, especially in information processing, natural language processing, textual teaching and related fields. The article presents results of confusion for various types of texts and linguistic data collections as well as discussions in the automated indexing of documents. The experiments provide substantial and consistent improvements to the probabilistic standard of Latent Semantic Analysis. We have proposed a novel method for unspecified learning, the probabilistic latent semantic analysis, which is based on a latent statistical model [23]. We have argued that this approach is more than the standard latent semantic analysis because it has a solid
statistical basis and uses the (abandoned) assistant function as an optimization criterion. The moderate expectation masking is presented as an efficient adjustment procedure. The experimental technology has eliminated the beneficial advantages of extending the perplexity rating of text data such as specific data and for use in automated indexing of documents, and has achieved considerable performance in all cases2001 [36].
Table 1: Analysis of the available recent algorithms.
AUTHORS
ALGORI THM/TE CHNIQ UE
REMARK / FURTHER
EXTENSION
[11] Lai, Kyong Jin Shim, Richard J. Oentaryo,
Career Mapper tool
Usingthis automated resume evaluation tool, users can quicklyhave their resumes
evaluated and
appropriaterecommendations displayed in a user-friendly web interface
[12] Janhavi , Ashima
Singh SVM
artificial neural networks classifiers received an enormous attention due to some of their remarkable features
[13]MohdMahmood
Ali ARM
Identify fraudulent resumes based on name, photo, email-id, phone number and other factors
[14] L. A. Overbey, G. McKoy,
SNA
This Research involving a survey of the approaches criminal or terrorist groups can take to covertly advance their causes in virtual environments.
[15] Thomas Hofmann
Expecta tion Maximiz ation algorith m
We have proposed a novel method for unsupervised learning, called Probabilistic Latent Semantic Analysis,
In the comparison table 1 above, some existing recent algorithms are discussed, theirtechniques and remarks.
III PROPOSED WORK
The proposed work and the objective of the research is an important concept which works with automated learning. The proposed work objectives are required for automated learning and relevance to following research:
Working with big data which help in processing large number of documents with the proposed hive based accessing model.
Topic modelling help in data analysis using the various feature analysis, skill analysis from the large dataset.
Working with feature extraction, ANN Approach over the large data help in better data prediction. Data mining take advantage of natural language
Finally the proposed work objectives are presented in such a way that a real time usage of data can be
done for automated learning and providing a best solution over the large dataset.
Table 2: Analysis of the proposed work.
Authors Advantage Disadvantages
Number of Attributes taken
Real Time
(Y/N) Parameter Remark
Steffen Altmann Armin Falk[1]
In addition to such informational
challenges, the search process also puts a strain on individuals’ Self-confidence and willpower.
Besides the substantial economic losses that
unemployment typically entails, job
seekers face a variety of non-trivial
informational problems when Looking for new employment.
Self-confidence and willpower.
Yes Yi +b•Ti+Xic+4i = a
we investigate whether providing unemployed individuals with information about the job search process and the
consequences of
unemployment can improve their
employment prospects
Ana Beatriz Lopes de Sousa Jabbour1[2]
Advanced and digital manufacturing
technologies are able to unlock the circularity of resources
reduction of the negative effects of production systems
managers to make decisions, monitor performanc e, and track parts and products
Yes
R = CE+S
approach can only benefit from
Additional research work at both the theoretical and practical levels.
Enrico Marchi ,Woodam Chung, RienVisser.. [3]
it is important to understand the
major driving factors for the future development of forest operations that promote economic, environmental
And social well-being.
identify important issues
concerning forest operations And to propose a newparadigmtow ards
sustainability in a changing climate,work and environmental conditions.
mitigate and abate Greenhous
e gas
emissions.
Yes Q/mc mcΔT/mc, or = Q/mc = ΔT.
renewable resources is one of themost important sustainability Topics. Non-renewable resources are incompatible with sustainability perspectives and practices Federica Ciccullo, MargheritaPero , Maria Caridi, [4]
a set of practices aimed at reducing the
Environmental impact of the supply chain.
a lack of clarity as to how the environmental and social goals
can be
incorporated into established supply chains paradigms
economic performanc
e Yes
Established supply chain paradigm and sustainability focus E = empirical studies; T = theoretical studies.
To achieve each type of integration, a set of practices are highlighted. Interestingly, the same practices can support different integration types. Joseph Sarkis&Qingyu n Zhu [5]
Firms
observe that environmentally conscious practices adoption is necessary to maintain a competitive advantage. Reputation and the licence to operate in various regions of the world require organisations be more environmentally conscious and
Environmental issues ranging from localised water pollution and hazardous waste
management to global climate Change are all influenced by industrial and supply chain activities.
growth of non-government al
organisation s and civil society as watchdogs for humans And nature also grew.
Yes
LCA and LCC into QFD matrices.
1010 Sound in their
production and manufacturing.
The evolution of this concern from local to global can be attributed
to many
advances
Sandra Cuenta& Rita Peñabaena-Niebles1 &Ethel Garcia[6]
The aim of this research is to provide researchers a
starting point to potentiate the performance of the SVM classifier
for assuring the best possible classification and improving
The detection efficiency.
intended to overcome the disadvantages inherent in using traditional control charts in such conditions and encourage the use of data mining
techniques to provide
Innovative solutions for statistical process control.
organize, summarize, and discuss gathered Information.
Yes
K xi ! ; xj ! _ _
¼ tanh γ xi ! _ xj ! þ n
this paper evidences that the
application of nature inspired algorithms for kernel
parameter selection in auto-correlated SVM-based process monitoring Systems remains unexplored.
Chris J. Martin [7]
The Silicon Valley success stories of Airbnb
and Uber have catalysed a vibrant sharing economy discourse, participated in by the media, incumbent industries, Entrepreneurs and grassroots
activists.Within this discourse the sharing economy is framed in contradictory
Ways; ranging from a potential pathway to sustainability, to a nightmarish form of neoliberalism.
identifies narratives as the primary element of
discourse of interest in transitions research, as they both articulate sustainability problems and seek to identify and progress solutions
empower and resist the developmen t of the niche, policy-makers
Yes DR=Tp/Tp+
Fn
There is rapidly growing interest in the nature and impacts of the sharing economy amongst entrepreneurs, innovators, incumbent businesses, Policy-makers, media commenters and academic researchers alike.
Martin Geissdoerfer, Paulo Savaget, Nancy M.P. Bocken [8]
Research addresses this gap and aims to provide conceptual clarity by distinguishing the terms and
Synthesising the different types of relationships between them.
issues such as high
unemployment, poor working conditions, social vulnerability, the poverty trap, inter- and intergenerational equity, and widening inequalities
security, well-being, and health, particularly by maintaining the supply of non-replaceable goods and services
Yes ―I = P x A x T‖.
Environmental problems,
such as
biodiversity loss, water, air, and soil pollution, resource depletion, and excessive land
use are
increasingly jeopardising the
ResearchMing ming Cheng [9]
This Paper presents a more robust framework and holistic understandingof the sharing economy field and calls for a new theory-informed research agenda on sharing economy to coalesce multi-level perspectives.
The research designcombining co-citation and content analysis
is then
introduced. Theresults are discussed via a series of visual representations. After-wards, relevant insights are presented from the results and research gaps and areas for future research then follow.
analyses this literature in a holistic, objective and systematic manner
No RF=SE+TH
The sharing economy has a strong
intellectual tradition from lifestyle and social
movement field, consumption practice and sharing paradigm. JOSHUA ABELa, ROBERT RICH, JOSEPH SONG [10]
Their results, however, depend on the validity of their proposed uncertainty
Measures and auxiliary modelling assumptions.
Despite its importance, the
measurement of uncertainty is challenging due to the inherent difficulty of observing individuals’ Subjective magnitudes. HICP inflation, Output growth and the unemploym ent rate.
Yes
They denotes an ordered array of the IQR values from a survey in quarter q of year t
This paper examines matched point and density forecasts of output growth, inflation and unemployment
Attributes & significance: -Following are the attributes taken for the study analysis of student behaviour. A proper data is collected from the multiple students and based on it prediction is performed.
S.No. Attributes Description Values
1 School Students'
School
Binary: Gabriel Pereira(GP) or Mousinho da Silveira(MS)
2 Sex Students' sex Binary: Male(M) or Female(F)
3 Age Students' age Numeric: 15 to 22
4 Address
Students' home address type
Binary: Urban(U) or Rural(R)
5 Famsize Family size
Binary: less than or equal to 3(LE3) or greater than 3(GE3)
6 Pstatus
Parent's cohabitation status
Binary: living together(T) or Apart(A)
7 Medu Mother's
education
Numeric: None(0), Primary educatio-4th grade(1), 5th-9th Grade (2), Secondary
education(3), Higher education(4)
8 Fedu Father's
education
Numeric: None(0), Primary educatio-4th grade(1), 5th-9th Grade (2), Secondary
education(3), Higher education(4)
9 Mjob Mother's job
Nominal: 'teacher', 'health' care related, civil 'services', 'at
home' or 'other'
10 Fjob Father's job
Nominal: 'teacher', 'health' care related, civil 'services', 'at home' or 'other'
11 reason Reason to
choose school
Nominal: close to 'home', school 'reputation', 'course' preference or 'other'
12 guardian Student's guardian
Nominal: 'mother', 'father', or 'other'
13 traveltime
Home to school travel time
Numeric:
<15min(1)., 15 to 30 min.(2), 30 min-1 hour(3), or >1 hour(4)
14 studytime Weekly study time
Numeric:
<2hours(1), 2 to 5 hours(2), 5 to 10 hours (3), or >10 hours(4).
15 failures
Number of past class failures
Numeric: if 1<=n<3 (n),else(4)
16 schoolsup
Extra educational support
Binary : yes or no
17 famsup
Family educational support
Binary: yes or no
18 paid
Extra paid classes within the course subject like maths or Portuguese
Binary: yes or no
19 activities Extracurricular
activities Binary: yes or no
20 nursery Attended
1012
21 higher
Wants to take higher education
Binary: yes or no
22 internet
Internet access at home
Binary: yes or no
23 romantic
With a
romantic relationship
Binary: yes or no
24 famrel
Quality of family relationships
Numeric: Very bad(1), bad(2), good(3), Very good(4), Excellent(5)
25 freetime Free time after school
Numeric: Very low(1), Low (2), moderate(3),high(4), very high(5)
26 goout Going out with friends
Numeric: Very low(1), Low (2), moderate(3),high(4), very high(5)
27 Dalc
Workday alcohol consumption
Numeric: Very low(1), Low (2), moderate(3),high(4), very high(5)
28 walc
Weekend alcohol consumption
Numeric: Very low(1), Low (2), moderate(3),high(4), very high(5)
29 health Current health status
Numeric: Very bad(1), bad(2), moderate(3), good(4), Very good(5)
30 absences
Number of school absences
Numeric: 0 to 93
Grades corresponding
to the course subject : Maths or Portuguese
31 G1 First period
grade
Numeric: from 0 to 20
32 G2 Second period
grade
Numeric: from 0 to 20
33 G3 Final grade Numeric: from 0 to 20, output target
Architecture Developed Module:
There are multiple modules which are created using the java framework and performance over career analysis is executed. The architecture is deployed on Apache tomcat 8.0 server with 8 GB of RAM, 1 TB of HDD i7 Laptop treated as server with static IP usage. A behaviour input is tracked on above parameter attributes, thus the effective tracking is further performed with generated rules.
1. Student End: An evaluation of students resume profile, asking some random questions, solving some given puzzle to find skills from its different activity and make them a separate storage for utilizing in the recruitment process. Student involvement activity, building the relation between them can easily be used for skill finding module. Thus a small but efficient database preparation using the skill finding module can get performed [16].
2. Recruitment End: A dynamic form generation approach based on the Job description. Often job description contains different level of requirement. A dynamic form generation algorithm as well as automated skill requirement finder based on the JD provided can be done. Thus according to form filled by recruiter the result of matched skill can be returned as result [34].
Figure 1:- Flow Diagram of Student Career Prediction using Behaviour analysis.
Figure 1 above, discuss about the user student end, its data capture entity as well as the prediction analysis using the captured data.
IV CONCLUSION
Internet become a major resource of information, where most of the people find its usability over internet. The information activity makes a major impact in any of the decision making. Behaviour analysis make important for any of the student in finding its career analysis. There are multiple opportunity in market based on the users own attribute skillset. Unidirectional activity happen due to improper analysis of users statistics. In this paper a discussion of literature and their limitation is discussed. An architecture figure and discussion table discuss about the parameter analysis between different authors. This paper further discuss the implementation analysis of behaviour analysis framework. Thus the proper pattern analysis, relation building with the parameter and their prediction makes important outcome either in single career activity or entrepreneurship. Thus the framework created make effective rule building and career prediction analysis.
REFERENCES
[1] Steffen Altmann, Armin Falk, Simon Jäger, Florian Zimmermann, ―Learning about job search: A field experiment with job seekers in Germany‖,2018 Published by Elsevier B.V. 2018.
economy: a proposed research agenda and original roadmap for sustainable operations © Springer Science Business Media, LLC, part of Springer Nature 2018.
[3] Enrico Marchi ,Woodam Chung , RienVisser , Dalia Abbas , Tomas Nordfjell , Piotr S. Mederski , Andrew McEwan , Michal Brink, Andrea Laschi, Sustainable Forest Operations (SFO): A new paradigm in a changing world and climate, © 2018 Elsevier B.V. All rights reserved.
[4] Federica Ciccullo, MargheritaPero, Maria Caridi, Jonathan Gosling, Laura Purvis, Integrating theEnvironmental and social sustainability pillars into the lean and agile supply chain management paradigms: A literature review and future research directions, Journal of Cleaner Production (2017), doi: 10.1016/j.jclepro.2017.11.176.
[5] Joseph Sarkis&Qingyun Zhu, Environmental sustainability and production: taking the road less travelled, International Journal of Production
Research, 2017
https://doi.org/10.1080/00207543.2017.1365182. [6] Sandra Cuentas1 & Rita Peñabaena-Niebles1 &
Ethel Garcia, Support vector machine in statistical process monitoring: a methodological and analytical review /Published online: 23 November 2016 # Springer-Verlag London 2016.
[7] Chris J. Martin The sharing economy: A pathway to sustainability or a nightmarish form of neoliberal capitalism, Elsevier B.V. 2016.
[8] Martin Geissdoerfer Paulo Savaget , Nancy M.P. Bocken , Erik Jan Hultink, The Circular Economy e A new sustainability paradigm, Institute for Manufacturing, Department of Engineering, University of Cambridge, Cambridge, CB3 0FS, United Kingdom Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628, CE Delft, The Netherlands, Elsevier B.V. 2016.
[9] Mingming Cheng, Sharing economy: A review and agenda for future research University of Technology Sydney, UTS Business School, Ultimo, NSW, Australia,Elsevier B.V. 2016.
[10] Joshua Abel, Robert Rich, Joseph Song and Joseph Tracy, the Measurement andBehaviourOf Uncertainty: Evidence From The Ecb Survey Of Professional Forecasters Journal Of Applied Econometrics J. Appl. Econ. 31: 533–550 (2016) Published online 12 January 2015 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/jae.2430.
[11] Vivian Lai, Kyong Jin Shim, Richard J. Oentaryo, Philips K. Prasetyo, Casey Vu Ee-Peng Lim, David Lo,‖CareerMapper: An Automated Resume Evaluation Tool ‖,2016 IEEE International Conference on Big Data (Big Data).
[12] Janhavi,Ashima Singh, ―Efficient Regression Test Selection and Recommendation Approach for Component Based Software ‖, 978-1-4799-3080-7/14/$31.00 c 2014 IEEE.
[13] MohdMahmoodAli,Dr. Lakshmi
Rajamani,‖Automation of decision making process for selection of talented manpower considering risk
factor: A Data Mining Approach‖,978-1-4673-1090-1/12/$31.00 ©2012 IEEE.
[14] L. A. Overbey, G. McKoy, J. Gordon, and S. McKitrick, ―Automated sensing and social network analysis in virtual worlds,‖ in Proc. IEEE Int. Conf. Intell. Secur. Inform. (ISI), Vancouver, BC, Canada, May 2010, pp. 179–184.
[15] Thomas Hofmann,‖Unsupervised Learning by Probabilistic Latent Semantic Analysis‖, Springer Machine Learning, January 2001, Volume 42, Issue 1–2, pp 177–196.
[16] Mehdi Namdari* ,HooshangJazayeri-Rad, Seyed-JalaladdinHashemi,‖Process Fault Diagnosis Using Support Vector Machines with a Genetic Algorithm based Parameter Tuning‖,Journal of Automation and Control, 2014, Vol. 2, No. 1, 1-7.
[17] Assem Abdel HamedMousa," Ubiquitous/Pervasive Computing", INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH & DEVELOPMENT, ISSN: 2278 – 0211 (Online), Vol 2 Issue 10.
[18] Ahmadov, Y., &Helo, P. (2016). A cloud based job
sequencing with sequence-dependent setup for sheet metalmanufacturing. Annals of Operations Research, 1–20. https://doi.org/10.1007/s10479-016-2304-3.
[19] Akter, S., &Wamba, S. F. (2017). Big data and
disaster management: A systematic review and agenda forfutureresearch.Annals of Operations Research. https://doi.org/10.1007/s10479-017-2584-2.
[20] Bauer, H., Baur, C., Mohr, D., Tschiesner, A.,
Weskamp, T., Alicke, K., & Wee, D. (2016). Industry 4.0 afterthe initial hype–Where manufacturers are finding value and how they can best capture it. McKinsey.
[21] Digital, available in
https://www.mckinsey.de/files/mckinsey_industry_4
0_2016.pdf Accessed August2017.
[22] Bocken, N.M., Olivetti, E. A., Cullen, J. M., Potting,
J., &Lifset, R. (2017). Taking the circularity to the nextlevel: A special issue on the circular economy. Journal of Industrial Ecology, 21(3), 476–482.
[23] Despeisse, M., Baumers, M., Brown, P., Charnley,
F., Ford, S. J., Garmulewicz, A., et al. (2017). Unlockingvalue for a circular economy through 3D printing: A research agenda. Technological Forecasting andSocial Change, 115, 75–84.
[24] de Man, J. C., &Strandhagen, J. O. (2017). ―An
Industry 4.0 research agenda for sustainable business models‖. Procedia CIRP, 63, 721–726.
[25] DiMaggio, P., & Powell, W. W. (1983). The iron
cage revisited: Collective rationality and institutional isomorphismin organizational fields. American Sociological Review, 48(2), 147–160.
[26] Du, S., Tang, W., Zhao, J., &Nie, T. (2016). Sell to whom? Firm’s green production in competition facingmarket segmentation. Annals of Operations Research, 1–30. https://doi.org/10.1007/s10479-016-2291-
[27] Elia, V., Gnoni, M. G., &Tornese, F. (2017).
1014 [28] Agarwala R., "INDIA 2050- A Roadmap to
Sustainable Prosperity", SAGE Publications India Pvt. Ltd., 2014.
[29] http://planningcommission.gov.in/reports/genrep/bk
pap2020/32_bg2020.pdf [34]
http://www.yourarticlelibrary.com/essay/unemploy
ment-essay/causes-and-social-factors-of-
unemployment-in-india/43903www.seas.upenn.edu/~bhusnur4/cit596 _spring2014/PNP.pptx
[30] https://www.tutorialspoint.com/design_and_analysi s_of_algorithms/design_and_analysis