THE VOICE OF INFORMAL ENTREPRENEURS: RESOURCES AND CAPABILITIES PERSPECTIVE

2018 ◽  
Vol 23 (03) ◽  
pp. 1850015 ◽  
Author(s):  
EIJAZ AHMED KHAN
Keyword(s):  
Field Study ◽  
Study Data ◽  
Policy Implications ◽  
Policy Makers ◽  
Analysis Technique ◽  
Proposed Model ◽  
Resources And Capabilities ◽  
Informal Entrepreneurship ◽  
The Voice ◽  
Associated Variables

Despite increased attention from scholars and policy makers, the growth of informal entrepreneurship and its challenges have been reported continuously and are growing frequently. However, there is an inadequate study on informal entrepreneurship growth in view of resources and capabilities. Thus, the objective of this paper is to propose a model of informal entrepreneurship in view of resources and capabilities by examining the existing literature and field study data in the context of a developing country. An exploratory field study was undertaken, where fourteen interviews were conducted. A content analysis technique was applied to identify the resources and capabilities factors with their associated variables and a research model was developed. Outcomes from field study recognized the resources and capabilities factors and variables, as well as their relationships. It vibrates well with the existing literature and establishes the proposed model. This study proposes a model for future informal entrepreneurship research and identifies theoretical and policy implications.

What Makes a City Bikeable? A Study of Intercity and Intracity Patterns of Bicycle Ridership using Mobike Big Data Records

2020 ◽  
Vol 46 (1) ◽  
pp. 55-75
Author(s):  
Ying Long ◽  
Jianting Zhao
Keyword(s):  
Big Data ◽  
Average Distance ◽  
Policy Implications ◽  
Rating System ◽  
City Centre ◽  
Average Score ◽  
Policy Makers ◽  
Usage Frequency ◽  
Share Data ◽  
The City

This paper examines how mass ridership data can help describe cities from the bikers' perspective. We explore the possibility of using the data to reveal general bikeability patterns in 202 major Chinese cities. This process is conducted by constructing a bikeability rating system, the Mobike Riding Index (MRI), to measure bikeability in terms of usage frequency and the built environment. We first investigated mass ridership data and relevant supporting data; we then established the MRI framework and calculated MRI scores accordingly. This study finds that people tend to ride shared bikes at speeds close to 10 km/h for an average distance of 2 km roughly three times a day. The MRI results show that at the street level, the weekday and weekend MRI distributions are analogous, with an average score of 49.8 (range 0–100). At the township level, high-scoring townships are those close to the city centre; at the city level, the MRI is unevenly distributed, with high-MRI cities along the southern coastline or in the middle inland area. These patterns have policy implications for urban planners and policy-makers. This is the first and largest-scale study to incorporate mobile bike-share data into bikeability measurements, thus laying the groundwork for further research.

scholarly journals Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 710
Author(s):  
Min Zhou ◽  
Man Yuan ◽  
Yaping Huang ◽  
Kaixuan Lin
Keyword(s):  
Spatial Patterns ◽  
Policy Development ◽  
Manufacturing Industries ◽  
Policy Implications ◽  
Land Policy ◽  
Spatial Transformation ◽  
Development Zone ◽  
Analysis Technique ◽  
Spatial System ◽  
Big Cities

Manufacturing space is a spatial system that combines the interaction between capital and institutions at the enterprise, industry, and spatial levels. It is also an important functional type that promotes the spatial evolution of big cities. Most studies focus on the effects of a single institutional type on the manufacturing space of big cities and lack systematic and complete exploration of the institutional mechanism. Current empirical research on typical industrial cities in China is insufficient. This study uses a GIS spatial analysis technique and a Poisson regression model to analyze the mechanism by which institutions have influenced the spatial patterns of manufacturing industries in the Wuhan metropolitan area since the 1990s. The results show that land policy, development zone policy, urban planning, transportation strategy, and eco-environmental policy all have a significant impact on the restructuring process and distribution pattern of the manufacturing industries through incentives and constraints. This study expands our understanding of the influence mechanism of manufacturing spatial patterns and proposes spatial guiding strategies and policy implications for the spatial transformation of urban manufacturing.

scholarly journals Entrepreneurial intention: An analysis of the role of Student-Led Entrepreneurial Organizations

2021 ◽  
Author(s):  
Giuliano Sansone ◽  
Elisa Ughetto ◽  
Paolo Landoni
Keyword(s):  
Entrepreneurial Intention ◽  
Policy Implications ◽  
Policy Makers ◽  
Student Entrepreneurship ◽  
Entrepreneurial Organizations ◽  
Entrepreneurial Activities ◽  
The University ◽  
The Impact ◽  
The Empirical Analysis

AbstractAlthough a great deal of attention has been paid to entrepreneurship education, only a few studies have analysed the impact of extra-curricular entrepreneurial activities on students’ entrepreneurial intention. The aim of this study is to fill this gap by exploring the role played by Student-Led Entrepreneurial Organizations (SLEOs) in shaping the entrepreneurial intention of their members. The analysis is based on a survey that was conducted in 2016 by one of the largest SLEOs in the world: the Junior Enterprises Europe (JEE). The main result of the empirical analysis is that the more time students spent on JEE and the higher the number of events students attended, the greater their entrepreneurial intention was. It has been found that other important drivers also increase students’ entrepreneurial intention, that is, the Science and Technology field of study and the knowledge of more than two foreign languages. These results confirm that SLEOs are able to foster students’ entrepreneurial intention. The findings provide several theoretical, practical and public policy implications. SLEOs are encouraged to enhance their visibility and lobbying potential in order to be recognized more as drivers of student entrepreneurship. In addition, it is advisable for universities and policy makers to support SLEOs by fostering their interactions with other actors operating in the entrepreneurial ecosystem, who promote entrepreneurship and technology transfer activities. Lastly, this paper advises policy makers to assist SLEOs’ activities inside and outside the university context.

Tourism Productivity Theory and Measurement for Policy Implications: The Case of Australia

2019 ◽  
Vol 59 (2) ◽  
pp. 247-266
Author(s):  
Tien Duc Pham
Keyword(s):  
Labor Productivity ◽  
Holistic Approach ◽  
Tourism Industry ◽  
Policy Implications ◽  
Policy Makers ◽  
Average Growth ◽  
Multifactor Productivity ◽  
Capital Productivity ◽  
Productivity Theory

Tourism productivity measures are quite diverse, not always compatible and usually based partly on labor productivity for hotels and restaurants. This article develops a holistic approach that integrates the principles of the growth accounting framework and tourism satellite account to measure multifactor productivity, labor productivity and capital productivity for the Australian tourism industry. This study shows that tourism has been identified as a reservoir for other industries through the ebbs and flows of labor demands. Compared with the rest of the economy, the average growth of labor productivity—that is, income per unit of labor—for tourism is stagnant, and has reached an unprecedented low, six times below the market sector average, mainly because of low multifactor productivity. The results are valuable for policy makers and the lobbying groups wanting to identify areas of need for policy changes to ensure the healthy long-term growth of tourism.

Do intraday week effect in currencies hourly trading reflect leverage and asymmetric anomalies? Policy implications for traders

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wajid Shakeel Ahmed ◽  
Muhammad Sohaib ◽  
Jamal Maqsood ◽  
Ateeb Siddiqui
Keyword(s):  
Emerging Economies ◽  
Garch Model ◽  
Study Data ◽  
Policy Implications ◽  
Asymmetric Effect ◽  
Data Set ◽  
Content Type ◽  
Study Results ◽  
Rational Choices ◽  
Trading Pattern

Purpose The purpose of this study is to determine if intraday week (IDW) effect of the currencies reflect leverage and asymmetric impact in currencies market. The study data set comprises of intraday patterns of 15 currencies from developed and emerging economies. Design methodology approach The study applies the exponential generalized autoregressive conditional heteroscedasticity (E-GARCH) model technique to observe the IDW leverage and asymmetric effect after introducing hourly dummies variables, namely, IDWmon, IDWwed, IDWfrid and IDWfrid-mon. Findings The study results favor the propositions and confirm that IDW effect do exist in the international forex markets in relation to hourly trading pattern for respective currencies. Mostly, currencies do depreciate on Monday and Wednesday compared to the rest of the days. However, on the last trading day, i.e. Friday currencies observe an appreciation pattern which is for both economies. The results have an evidence of leverage and asymmetric effect confirmed by the E-GARCH model as a result of press releases and influence by micro-factors in the currency markets. Practical implications The study believes to have theoretical connection related to the better understanding of currencies trend for developed and emerging economies, as the IDW effect exists. Moreover, confirmation of both the leverage and asymmetric effect in observed currencies would be able to assist the investors in making rational choices during the trading hours and would confirm considerable profits through profit incentivized strategies. Originality value The study not only add knowledge to the previous study work in relation to the hourly trading pattern of currencies with reference to the IDW effects but also highlights the leverage and asymmetric effect in currencies that will help in formulating future trading strategies particular to emerging economies.

Modelling the significance of social support and entrepreneurial skills for determining entrepreneurial behaviour of individuals

2018 ◽  
Vol 14 (3) ◽  
pp. 242-266 ◽  
Author(s):  
Muhammad Shoaib Farooq
Keyword(s):  
Social Support ◽  
Explanatory Power ◽  
Entrepreneurial Intention ◽  
Subjective Norms ◽  
Policy Makers ◽  
Content Type ◽  
Entrepreneurial Behaviour ◽  
Entrepreneurial Skills ◽  
Proposed Model ◽  
The Impact

Purpose Although entrepreneurial behaviour is considered a key element for economic development, yet very less is known about the determinants of factors leading towards entrepreneurial intention and behaviour. In order to bridge this gap, the purpose of this paper is to investigate the role of social support and entrepreneurial skills in determining entrepreneurial behaviour of individuals. Developing on the base of the theory of planned behaviour (TPB), this study investigates the relationship between social support, entrepreneurial skills and entrepreneurial behaviour along with existing constructs of the TPB (i.e. attitude, subjective norms, perceived behavioural control and entrepreneurial intention). Design/methodology/approach Data was collected from 281 respondents using a simple random sampling method, and the variance-based partial least-squares, structural equation modelling (PLS-SEM) approach was used for testing the proposed conceptual model. Findings Findings of this study have validated the proposed model, which have an explanatory power of 68.3 per cent. Moreover, findings reveal that social support and entrepreneurial skills have a significant impact on entrepreneurial intention of individuals. However, an unanticipated and non-significant relation between subjective norms and entrepreneurial intention is also found. Research limitations/implications Due to the limited scope of this study, a multi-group analysis is not possible, which is considered as a limitation of this study. Moreover, due to time constraints, this study is conducted within a specified time-frame; however, a longitudinal study over a period of three to six years can overcome this limitation. Practical implications Findings of this study are expected to have substantial implications for policy makers, future researchers and academicians. Outcomes of this study can help to better understand the cognitive phenomenon of nascent entrepreneurs. Moreover, it is expected that this study can serve as a torch-bearer for policy makers to develop better entrepreneurial development programmes, policies and initiatives for promoting self-employment behaviour. Originality/value Findings of this study are a unique step forward and offer new insights towards a better understanding of the determinants of entrepreneurial behaviour. Moreover, this study extends Ajzen’s (1991) TPB in the context of entrepreneurial behaviour. By introducing and investigating the impact of two new variables, i.e. social support and entrepreneurial skills in the TPB and by validating the proposed model with PLS-SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution in the overall body of knowledge.

scholarly journals Classification and Measurement of the Firms’ Resources and Capabilities Applied to Eco-Innovation Projects from a Resource-Based View Perspective

2018 ◽  
Vol 10 (9) ◽  
pp. 3161 ◽  
Author(s):  
Pilar Portillo-Tarragona ◽  
Sabina Scarpellini ◽  
Jose Moneva ◽  
Jesus Valero-Gil ◽  
Alfonso Aranda-Usón
Keyword(s):  
Natural Resources ◽  
Conceptual Framework ◽  
Case Studies ◽  
Corporate Sustainability ◽  
Policy Makers ◽  
Resource Based View ◽  
Depth Analysis ◽  
Innovation Projects ◽  
Resources And Capabilities

Interest from academics, policy–makers and practitioners in eco-innovation has increased as it enables the optimization of the use of natural resources improving competitiveness and it provides a conceptual framework for corporate sustainability. In this context, this paper provides an in-depth analysis and a wide classification of the specific indicators for the integrated measurement of eco-innovation projects in business from a resource-based view (RBV). The specific metrics were tested to measure the economic-financial and environmental resources and capabilities applied by five Spanish firms to eco-innovation projects, selected as case studies.

scholarly journals ANALISIS DAN PENGHITUNGAN INDEKS KESEJAHTERAAN MASYARAKAT KELAUTAN DAN PERIKANAN (IKMKP)

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Yayan Hikmayani ◽  
Irwan Muliawan ◽  
Tukul Rameyo Adi
Keyword(s):  
Secondary Data ◽  
Study Data ◽  
Government Programs ◽  
Group Discussions ◽  
Policy Makers ◽  
Economic Dimension ◽  
Central Kalimantan ◽  
Weighted Factor ◽  
Quantitative Descriptive ◽  
Welfare Index

Analisis terhadap perkembangan nilai Indeks Kesejahteraan Masyarakat Kelautan dan Perikanan (IKMKP) telah dilakukan sejak tahun 2014 sampai 2016. Permasalahan penentuan tingkat kesejahteraan dengan menyusun indikator yang mengarahkan pada pembangunan sektor kelautan dan perikanan secara sektoral dan menjadi wewenang Kementerian Kelautan dan Perikanan (KKP) adalah penting. Tujuan penulisan makalah ini untuk melihat kinerja pembangunan kelautan dan perikanan dilihat dari indikator kesejahteraan masyarakat pelaku usaha perikanan. Metode penelitian menggunakan metode desk study. Data terdiri data sekunder yang meliputi data ekonomi dan sosial kelembagaan yang dikumpulkan dan diperoleh dari Eselon 1 lingkup KKP. Verifikasi data dilakukan melalui diskusi kelompok terfokus yang dihadiri oleh pengambil kebijakan di Kementerian Kelautan dan Perikanan (KKP). Analisis data dilakukan menggunakan pendekatan deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa nilai Indeks Kesejahteraan Masyarakat Kelautan dan Perikanan (IKMKP) tahun 2016 sebesar 48,33. Nilai dimensi sosial dan kelembagaan sebesar 43,31 dan nilai dimensi ekonomi sebesar 43,27. Daerah yang memiliki Nilai IKMKP terbesar yaitu Provinsi Nusa Tenggara Barat dengan nilai sebesar 100. Sementara itu, daerah yang memiliki nilai IKMKP paling kecil yaitu Provinsi Kalimantan Tengah dengan nilai sebesar 0,00. Hasil tersebut mengindikasikan bahwa program-program pemerintah yang telah dialokasikan di Provinsi Nusa Tenggara Barat telah memberikan dampak positif terhadap peningkatan kesejahteraan dan sebaliknya untuk Provinsi Kalimantan Tengah masih belum memberikan dampak terhadap peningkatan kesejahteraaanya. Adapun dari analisa faktor penimbang, peningkatan kesejahteraan masyarakat kelautan dan perikanan akan lebih efektif jika semakin banyak jumlah Lembaga Ketahanan Masyarakat (LKM) yang terfasilitasi permodalan dan tidak terjadi perubahan komposisi pada struktur ongkos usaha perikanan.Title: Analysis of The Development Marine and Fisheries Welfare  Community Index (IKMKP) Analysis of the development of Marine and Fisheries Community Welfare Index (IKMKP) has been carried out since 2014 until 2016.  It is important to determine the welfare level by formulating indicators to the development of the marine and fisheries sector through Ministry of Marine Affairs and Fisheries (MMAF). The purpose of this paper is to measure the performance of marine and fisheries development based on fisheries businessmen welfare indicators. The research used desk study method and secondary data of economic and social institutional which are collected from Echelon-1 of MMAF. Data were verified in focus group discussions among policy makers of MMAF and were analyzed using quantitative descriptive approach. The results showed that Marine and Fisheries Community Welfare Index (IKMKP) value in 2016 was 48.33. The value of social and institutional dimensions is 43.31 and value of economic dimension is 43.27. Regions that have the highest IKMKP value is West Nusa Tenggara Province with a value of 100. Meanwhile, Central Kalimantan Province has the lowest IKMKP value of 0.00. These results indicate that government programs has contributed to the improvement of welfare in West Nusa Tenggara Province, meanwhile, it has not contributed to the welfare in Central Kalimantan Province. Based on weighted factor analysis, the welfare of marine and fisheries community will be more effective if there are more number of Community Resilience Institutions (MFIs) facilitated by capital and there is no changes in the structure of fisheries business costs.

scholarly journals A Machine Learning Approach for Speech Detection in Modern Wireless Communication Environment

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Shibanee Dash . ◽  
Mihir Narayan Mohanty .
Keyword(s):  
Wireless Communication ◽  
Speech Signal ◽  
Symbol Error Rate ◽  
Speech Communication ◽  
Noise Levels ◽  
Speech Detection ◽  
Voice Signal ◽  
Proposed Model ◽  
Machine Learning Approach ◽  
The Voice

Modern wireless communication has gained a improved position as compared to previous time. Similarly, speech communication is the major focus area of research in respective applications. Many developments are done in this field. In this work, we have chosen the OFDM modulation based communication system, as it has importance in both licensed and unlicensed wireless communication platform. The voice signal is passed though the proposed model to obtain at the receiver end. Due to different circumstances, the signal may be corrupted partially at the user end. Authors try to achieve a better signal for reception using a neural network model of RBFN. The parameters are chosen for the RBFN model, as energy, ZCR, ACF, and fundamental frequency of the speech signal. In one part these parameters have eligibility to eliminate noise partially, where as in other part the RBFN model with these parameters proves its efficacy for both noisy speech signals with noisy channel as Gaussian channel. The efficiency of OFDM model is verified in terms of symbol error rate and the transmitted speech signal is evaluated in term of SNR that shows the reduction of noise. For visual inspection, a sample of signal, noisy signal and received signal is also shown. The experiment is performed with 5dB, 10dB, 15dB noise levels. The result proves the performance of RBFN model as the filter.The performance is measured as the listener’s voice in each condition. The results show that, at the time of the voice in noise environment, proposed technique improves the intelligibility on speech quality.

Sign in / Sign up

Export Citation Format

Share Document