Examining the influence of business environment on socio-economic performance of informal microenterprises: Content analysis and partial least square approach

QR Code

Examining the influence of business environment on socio-economic performance of informal microenterprises: Content analysis and partial least square approach

This study realize that the relationships between business environment and firm performance in context of small and medium-sized enterprises and large organizations is well understood and focused, but less research has been done on microenterprises, especially in informal sector. The purpose of this...

Full description

Bibliographic Details
Main Authors:	Khan, E., Quaddus, Mohammed
Format:	Journal Article
Published:	Emerald Group Publishing Limited 2015
Online Access:	http://hdl.handle.net/20.500.11937/33789

Similar Items

Examining a model of knowledge management systems adoption and diffusion: A Partial Least Square approach
by: Xu, Jun, et al.
Published: (2012)

Antecedents of Perceived Business Performance Among Private Business Organizations: A Partial Least Square Approach
by: Zahir Osman,, et al.

Modeling the impact of information technology governance effectiveness using partial least square
by: Kaur, Jasber, et al.
Published: (2012)

Development and Validation of a Scale for Measuring Sustainability Factors of Informal Microenterprises: A Qualitative and Quantitative Approach
by: Khan, E., et al.
Published: (2015)

Assessing website usability attributes using partial least squares
by: Nur Sukinah, Aziz, et al.
Published: (2014)

Partial least squares modelling of attitudes of students towards learning statistics
by: Hassan Rahnaward Ghulami,, et al.
Published: (2014)

Modelling of Halal Warehouse Adoption Using Partial Least Squares (PLS)
by: Yuserrie, Zainuddin, et al.
Published: (2014)

Nonlinear least squares
by: Teunissen, Peter
Published: (1990)

Integer least-squares
by: Teunissen, Peter
Published: (2004)

Nonlinearity and Least-Squares.
by: Teunissen, Peter, et al.
Published: (1988)

Analysis of partial least square estimation process and control of distillation column process
by: Nurul Hamizah, Baharan
Published: (2006)

Partial least squares path modelling of UMP students’ attitudes on statistics achievements
by: Hassan Rahnaward, Ghulami
Published: (2015)

Partial least square path analysis of knowledge, attitude,and practice regarding dengue
by: Ajibola, Lamidi-Sarumoh Alaba, et al.
Published: (2019)

Multiway Partial Least Square For Modeling And Monitoring Of Poly Methyl Methacrylate Reactor
by: Osman, Syarina
Published: (2014)

Development of project success model using partial least squares - structural equation modeling for Malaysia SMES
by: Khan, Ahmed Ali M.
Published: (2019)

The characteristic spectral selection method based on forward and backward interval partial least squares
by: Qu, F., et al.
Published: (2016)

Estimation of vinyl acetate monomer concentration using neural network & partial least square
by: Mohamad Zafarudin, Mohamad
Published: (2008)

Quality of Work Life and Turnover Intention: A Partial Least Square (PLS) Approach
by: Lilis, Surienty, et al.
Published: (2014)

Linking strategy engagement to strategy execution: a partial least squares (PLS) approach
by: Chuah, Francis Chin Wei, et al.
Published: (2015)

Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations
by: Cheah, Jun Hwa, et al.
Published: (2020)

Inferential estimation and control of chemical processes using partial least squares based model
by: Lim, Wan Piang
Published: (2005)

Refugee microenterprises: prospects and challenges
by: Kachkar, Omar, et al.
Published: (2016)

Modeling demand for Islamic microfinance using partial least squares approach: evidence from Malaysia
by: Mohd Thas Thaker, Mohamed Asmy, et al.
Published: (2017)

Development of Adaptive Soft Sensor Using Locally Weighted Kernel Partial Least Square Model
by: Yeo, Wan, et al.
Published: (2017)

Predictive control of drying process using an adaptive neuro-fuzzy and partial least squares approach
by: Azadeh, A., et al.
Published: (2012)

Locally weighted kernel partial least square model for nonlinear processes: A case study
by: Joyce Chen Yen, Ngu, et al.
Published: (2022)

Estimation on gas density internal model control (IMC) controller using partial least squares
by: Muhammad Asraf, Abd Rahim
Published: (2009)

The Critical success factors for organizational performance of SMEs in Malaysia: a partial least squares approach
by: Lo, May-Chiun, et al.
Published: (2016)

The optimization of FTIR spectroscopy combined with partial least square for analysis of animal fats in quartenary mixtures.
by: Che Man, Yaakob, et al.
Published: (2011)

Partial least squares structural equation modeling using SmartPLS: a software review
by: Sarstedt, Marko, et al.
Published: (2019)

Development of robust procedures for partial least square regression with application to near infrared spectral data
by: Silalahi, Divo Dharma
Published: (2021)

Least-squares collocation with integer parameters
by: Teunissen, Peter
Published: (2006)

Integer aperture least-squares estimation
by: Teunissen, Peter
Published: (2005)

The GPS integer least-squares statistics.
by: Teunissen, Peter
Published: (2000)

Least-squares variance component estimation
by: Teunissen, Peter, et al.
Published: (2008)

Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithms
by: Srar, Jalal Abdulsayed
Published: (2011)

Comparison of partial least squares and random forests for evaluating relationship between phenolics and bioactivities of Neptunia oleracea
by: Soo, Yee Lee, et al.
Published: (2018)

Intention to Use Mobile Payment System by Ethnicity: A Partial Least Squares Multi-group Approach
by: Tan, Kim Lim, et al.
Published: (2019)

Implementation of Good Corporate Governance in Creating Bank Performance Sustainability Using Partial Least Square Method
by: Agus, Supriyatna, et al.
Published: (2022)

A gradient descent boosting spectrum modeling method based on back interval partial least squares
by: Ren, D., et al.
Published: (2015)