Exploring the factors affecting supply chain performance in Dairy industry using Exploratory Factor Analysis technique

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Arvind Bhardwaj ◽  
VINKEL KUMAR ARORA ◽  
Sarbjit Singh ◽  
Rahul S. Mor
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Exploratory Factor Analysis ◽  
Dairy Industry ◽  
Supply Chain Performance ◽  
Factors Affecting ◽  
Analysis Technique

A New Approach to Supply Chain Performance Measurement

2016 ◽  
pp. 111-128
Author(s):  
Amit Kumar Marwah ◽  
Girish Thakar ◽  
R. C. Gupta
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Measures ◽  
Research Work ◽  
Primary Data ◽  
Supply Chain Performance ◽  
New Approach ◽  
Factors Affecting ◽  
Manufacturing Organizations ◽  
Overall Reliability

Existing research work has established that many of today's manufacturing organizations have failed to develop a comprehensive supply chain performance measures. In this chapter, the authors intend to empirically assess the effects of supplier buyer relations and human metrics on supply chain performance in the context of Indian manufacturing organizations. After rigorous literature review, total 18 variables have been identified which are later on reduced in number by factor analysis. As a pilot study, primary data is collected from 100 manufacturing organizations by means of a questionnaire and a scale is developed. On a sample size of 100, the proposed hypotheses are tested by applying two-tailed tests. t-test and factor analysis resulted in 5 factors, 2 related to supplier-buyer relations and 3 related to human metrics. The overall reliability of the scale comes out to be 0.697. The research work provides a new approach to the manufacturing organizations to understand the factors affecting supply chain performance. The present study is limited to Indian manufacturing organizations.

Supplier selection criteria in the Greek hotel food and beverage divisions

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Konstantinos Vasilakakis ◽  
Despoina Sdrali
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Exploratory Factor Analysis ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Hotel Industry ◽  
Content Type ◽  
Factors Affecting ◽  
Food And Beverage ◽  
Purchasing Managers

PurposeThe purpose of this study is to investigate the factors affecting supplier selection in food and beverage divisions in the Greek hotel industry. This research aimed to (1) examine the factors affecting supplier selection in food and beverage divisions of the Greek hotel industry, as these were perceived by the Greek purchasing managers themselves; (2) investigate the underlying factors when changing a supplier.Design/methodology/approachA survey was conducted using a closed-ended type questionnaire. Data collection met the following three criteria: hotels with a fully operational food and beverage division could participate in the research, the research population comprised all the hotels located in 13 regions of Greece, the sample represented over 10% of the total hotels in each region. Finally, 653 valid questionnaires were collected.FindingsExploratory factor analysis showed that six broad sets of factors affect supplier selection in the food and beverage divisions: those related to raw materials, financing, environment, services, origin-nutrients and people. Regarding the factors considered in changing a supplier, three factors were found: service and product quality, economic policy change, food quality and safety management systems.Research limitations/implicationsGreek hotel managers could use the findings of the study to effectively create a supply chain management strategy that will lead to improved firm performance. Understanding the importance of the selection criteria for the supply chain performance and the need to build strong relationships with stakeholders, suppliers could also create a proper supply chain.Originality/valueThe study adds to the knowledge regarding the perspectives of the Greek purchasing managers in food and beverage divisions in hotel industry and the body of much-needed research. Using exploratory factor analysis, a sort of grouping of the variables seems beneficial for simplifying how to present and understand the factors affecting supplier selection in food and beverage divisions within the Greek context.

A New Approach to Supply Chain Performance Measurement

2017 ◽  
pp. 2222-2239
Author(s):  
Amit Kumar Marwah ◽  
Girish Thakar ◽  
R. C. Gupta
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Performance Measures ◽  
Research Work ◽  
Primary Data ◽  
Supply Chain Performance ◽  
New Approach ◽  
Factors Affecting ◽  
Manufacturing Organizations ◽  
Overall Reliability

Existing research work has established that many of today's manufacturing organizations have failed to develop a comprehensive supply chain performance measures. In this chapter, the authors intend to empirically assess the effects of supplier buyer relations and human metrics on supply chain performance in the context of Indian manufacturing organizations. After rigorous literature review, total 18 variables have been identified which are later on reduced in number by factor analysis. As a pilot study, primary data is collected from 100 manufacturing organizations by means of a questionnaire and a scale is developed. On a sample size of 100, the proposed hypotheses are tested by applying two-tailed tests. t-test and factor analysis resulted in 5 factors, 2 related to supplier-buyer relations and 3 related to human metrics. The overall reliability of the scale comes out to be 0.697. The research work provides a new approach to the manufacturing organizations to understand the factors affecting supply chain performance. The present study is limited to Indian manufacturing organizations.

scholarly journals People’s expectations in Ho Chi Minh City when buying over - the - counter drugs to self - treatment

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Nguyen Minh Ha ◽  
Nguyen The Hung
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Prescription Drugs ◽  
Quantitative Method ◽  
Information Behavior ◽  
Ho Chi Minh City ◽  
Over The Counter ◽  
Factors Affecting ◽  
Otc Drugs ◽  
Common Diseases

This objective is to study determinants of people’s expectation in Ho Chi Minh city when buying over – the counter drugs to self – treatment. With a directly surveyed dataset of 403 citizens over 18 years old who purchased medicines for self-treatment, and using the quantitative method by exploratory factor analysis (EFA), the study found factors affecting people’s expectations when buying over – the – counter (OTC) drugs to heal themselves are past purchase and use of non-prescription drugs, experience treating common diseases with OTC drugs, seeking information behavior when intending buying non-prescription drugs, the impression of the-over-counter medications and the impression of pharmacist at pharmacy by Ho Chi Minh city (HCMC) citizens.

Measurement of innovation capability in supply chain: an exploratory study

2016 ◽  
Vol 8 (4) ◽  
pp. 331-349 ◽  
Author(s):  
Faisal Iddris
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Measurement Scale ◽  
Unique Contribution ◽  
Innovation Capability ◽  
Content Type ◽  
Four Dimensions ◽  
Idea Management

Purpose The purpose of this paper is to explore the development of innovation capability construct measures in the context of supply chain and to objectively identify the key dimensions for stimulating focal firms’ innovativeness. Design/methodology/approach The scale items for this research were obtained from extant literature. The data were collected from homogenous sample of 117 Ghanaian middle level managers (respondents). Exploratory factor analysis was used to identify the main dimensions of innovation capability. Based on the statistical analysis, four dimensions were obtained – idea management, idea implementation, collaboration and learning – and the convergent validity, discriminant validity, nomological validity and reliability tests indicate that the scales are valid and reliable Findings Four dimensions (factors) of innovation capability were identified from the exploratory factor analysis. These dimensions were labelled as idea management, idea implementation, collaboration and learning. The results indicate that the integration of the dimensions of innovation capability may stimulate a focal firm’s innovativeness. Research limitations/implications First, the measurement scale might not capture all the important dimensions of innovation capability. Second, the judgmental sampling used in this study means that the result cannot be generalised to the entire supply chain population, third, the sample was drawn from one geographical location using non-probability sampling technique. Practical implications The measures provide supply chain managers with a better approach of understanding the innovation capability in their supply chain. For instance, the measurement of supply chain’s innovation capability should help supply chain managers to determine the important innovation areas that need attention most and to permit them to respond to challenges posed by any kind of innovation capability dimension that needs to be enhanced. Originality/value The unique contribution of this paper is the development innovation capability measurement scale in the context of supply chain.

Factors Affecting Towards Green Purchase Behavior Among Young Consumers in India

2018 ◽  
pp. 183-210
Author(s):  
Nagendra Kumar Sharma ◽  
Gyaneshwar Singh Kushwaha
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Exploratory Factor Analysis ◽  
Linear Regression Analysis ◽  
Measurement Instrument ◽  
Purchase Behavior ◽  
Green Product ◽  
Factors Affecting ◽  
Young Consumers

The objective of the chapter is to examine the factors that are essential for the green purchase behavior among the young consumers in India. The study consists of 343 young respondents, who were surveyed with the help of structured measurement instrument. The sample has been analyzed with the help of exploratory factor analysis and linear regression analysis. It was found in the study that the awareness towards the green product, attitude towards eco-labeling, and satisfaction via green products are significantly and positively linked to the green purchase behavior, whereas the attitude towards green pricing and ecologically concerned consumers are not associated with the green purchase behavior.

Factors Affecting Perceived Effectiveness of Local E-Government in Egypt

2012 ◽  
Vol 4 (1) ◽  
pp. 24-38 ◽  
Author(s):  
Hisham M. Abdelsalam ◽  
Christopher G. Reddick ◽  
Hatem A. ElKadi ◽  
Sara Gama
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Local Governments ◽  
Regression Models ◽  
Security And Privacy ◽  
Perceived Effectiveness ◽  
Factors Affecting ◽  
Government Effectiveness ◽  
Management Capacity ◽  
The Impact

An important area of e-government research is how different stakeholders perceive the impact and the use of e-government systems on the different channels of governmental services. The objective of this article is to examine the perceived effectiveness of local e-government systems through a survey of directors in different Egyptian cities. The approach to accomplish this objective is to conduct exploratory factor analysis and regression analysis to determine what factors explain e-government effectiveness. This research adopts a model that uses the citizen-initiated contacts with government literature as a way for understanding e-government effectiveness. Results of an exploratory factor analysis reveal that e-government effectiveness is explained by management capacity, security and privacy, and collaboration. These factors were then analyzed through regression models that indicated that management capacity and security and privacy influenced e-government effectiveness. However, there was no evidence that collaboration had a statistically significant impact on e-government effectiveness. This paper fits into the theme of the special issue since it suggests strategies to better design e-government technology for local governments in Egypt through changes in security, privacy, and management capacity.

scholarly journals The Novel Paradigm of Economics Driven for Local Smart Sustain Cities Modeling Using Exploratory Factor Analysis and Planning Technique Using Fuzzy Evaluation Decision Making

2020 ◽  
Vol 12 (3) ◽  
pp. 793
Author(s):  
Mode Vasuaninchita ◽  
Varin Vongmanee ◽  
Wanchai Rattanawong
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Smart City ◽  
Smart Cities ◽  
Local Context ◽  
Fuzzy Evaluation ◽  
Analysis Technique ◽  
Planning Technique ◽  
Evaluation Decision

The Smart Cities (SCs) models currently widely employed are identical and inconsiderate of Economics Driven (ED), Local Context (LC), and Sustainability (St) factors. These are key factors to driving, constructing, and developing smart cities. This paper presents a process wherein “the Local Smart Sustain Cities Model (LSSCsM)” is combined and modeled with Exploratory Factor Analysis technique (EFA) to design a smart city that fits the local features of a given area. This particular process creates a Smart Cities Model (SCsM) that has unique sustainability and local context factors. This paper also presents the smart cities Priority Action Ranking (PAR) process using Fuzzy Logic Decision Making (FLDM) to evaluate the strengths and weaknesses of each smart city economics driver and characteristic and prioritize the direction planning of each factor and characteristic. The resulting smart cities model can then be used as the foundation of sustainable smart cities that avoid the pitfall of using incompatible smart cities models as the base and consequently failing, thus avoiding the extravagant costs associated with an unsuccessful project of such scale.

Sign in / Sign up

Export Citation Format

Share Document