Innovation barriers and risks for food processing SMEs in Malaysia: a
logistic regression analysis

QR Code

Innovation barriers and risks for food processing SMEs in Malaysia: a logistic regression analysis

The food industry is facing a period of rapid change driven by globalization, trade liberalization, development of genetic, processing and information technology, intellectual property rights, changes in family structure and health and food safety concerns. Given that the food processing SMEs acco...

Full description

Bibliographic Details
Main Authors:	Nor Ghani Mohd Nor, Abu Bashar Bhuiyan, Jamaliah Said, Syed Shah Alam
Format:	Article
Language:	English
Published:	School of Social, Development and Environmental Studies, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia 2016
Online Access:	http://journalarticle.ukm.my/9822/ http://journalarticle.ukm.my/9822/1/15x.geografia-si-feb16-norghani-edam_%281%29.pdf

Similar Items

The innovation drivers, strategies and performance of food processing SMEs in Malaysia
by: Abul Bashar Bhuiyan,, et al.
Published: (2016)

Innovative Solution for Barriers of Green Logistics in Food Manufacturing Industries
by: Meraa Divi, Pannirselvan, et al.
Published: (2016)

Institution-based barriers to innovation in SMEs in China
by: Zhu, Y., et al.
Published: (2012)

Logistic regression for spatial Gibbs point processes
by: Baddeley, Adrian, et al.
Published: (2014)

Spatial logistic regression and change-of-support in Poisson point processes
by: Baddeley, Adrian, et al.
Published: (2010)

Determination and Analysis of Obstacles of Innovation in Malaysian Food Processing SMEs
by: Suziyana, Mat Dahan, et al.
Published: (2014)

Export Barriers to halal food processing small and medium enterprises (SMEs) in Malaysia
by: Ismail, Mohd Mansor, et al.
Published: (2013)

MANAGEMENT OF OPEN INNOVATION PROCESS AMONG SMEs IN THE FOOD SECTOR IN GHANA
by: PIENAAH, CHRISTOPHER CRILLY
Published: (2015)

The Determinants of Innovation in Malaysian Food Processing Small and Medium Enterprises (SMEs)
by: Suziyana, Mat Dahan, et al.
Published: (2015)

On comparison between logistic regression and geographically weighted logistic regression: with application to Indonesian poverty data
by: Saefuddin, Asep, et al.
Published: (2012)

Robust Diagnostics In Logistic Regression Model
by: Ariffin @ Mat Zin, Syaiba Balqish
Published: (2010)

Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
by: Chiaka, Emenyonu Sandra
Published: (2016)

Power outage prediction by using logistic regression and decision tree
by: Alia Yasmin, Nor Saidi, et al.
Published: (2021)

Enablers, barriers and challenges: a study of innovation capabilities among SMEs in Singapore
by: Chen, Matthias
Published: (2020)

The nature and drivers of food innovation in UK-based SMEs
by: Chen, Tianqi
Published: (2015)

Robust logistic diagnostic for the identification of high leverage points in logistic regression model
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2010)

Logistic Regression Methods with Truncated Newton Method
by: Jasni, Mohamad Zain, et al.
Published: (2012)

Loan eligibility classification using logistic regression
by: Lik Pao, Paul Law, et al.
Published: (2023)

Collinearity diagnostics of binary logistic regression model
by: Midi, Habshah, et al.
Published: (2010)

Robust bootstrap methods in logistic regression model
by: Ariffin, Syaiba Balqish, et al.
Published: (2012)

Binary logistic regression on cafeteria satisfaction services
by: Che Him, Norziha, et al.
Published: (2020)

Flood disaster effect on smallholder farmers’ food security in Kelantan: an ordered logistic regression analysis
by: Jega, Abdussalam Adamu, et al.
Published: (2018)

Logistic regression methods for classification of imbalanced data sets
by: Santi Puteri Rahayu, -
Published: (2012)

Importance of assessing the model adequacy of binary logistic regression.
by: Sarkar, S.K., et al.
Published: (2010)

Robust logistic regression to static geometric representation of ratios
by: Bahiraie, Alireza, et al.
Published: (2009)

Identification of high leverage points in binary logistic regression
by: Fitrianto, Anwar, et al.
Published: (2016)

Validation and performance analysis of binary logistic regression model
by: Rana, Md. Sohel, et al.
Published: (2010)

Identifying prognosis factors of pathological staging among colorectal patients using ordinal logistic regression model
by: Md Ghani, Nor Azura, et al.

Drivers and barriers of project management practices in logistic industry
by: Faiqah Masturina, Abd Aziz
Published: (2022)

Barriers in adopting technological innovation, organizational capacity, and business environment into Iraq SMEs: a preliminary study.
by: Mishaal, Mohammed Faraj, et al.
Published: (2022)

Barriers of Supply Chain Intelligence practices in SMEs: case of Malaysia
by: Jaharuddin, Nor Siah, et al.
Published: (2016)

Muslim foreign workers and payment of Zakat: application of logistic regression
by: Duasa, Jarita, et al.
Published: (2019)

Interestingness of association rules using symmetrical tau and logistic regression
by: Mohd Shaharanee, Izwan, et al.
Published: (2009)

An investigation into student performance prediction using regularized logistic regression
by: Kurniadi, Felix Indra, et al.
Published: (2023)

Modeling employments rate data using ordinal logistic regression
by: Fitrianto, Anwar, et al.
Published: (2014)

The performance of classical and robust logistic regression estimators in the presence of outliers
by: Midi, Habshah, et al.
Published: (2012)

Robust estimators in logistic regression: A comparatives simulation study.
by: Midi, Habshah, et al.
Published: (2010)

Determinants of desire for children: a multinomial logistic regression approach
by: Rana, Md. Sohel, et al.
Published: (2013)

Developing Logistics and Supply Chain for Export Successl SMEs in Thailand
by: Sutuntivorakoon, Nuthapong
Published: (2006)

Barriers to CIM Implementation for SMEs in the Klang Valley
by: Lim, Thiam Lai
Published: (2004)