scholarly journals COST FACTOR ANALYSIS ALONG THE VEGETABLE SUPPLY CHAIN: SRI LANKA

2021 ◽  
Vol 07 (03) ◽  
pp. 407-420
Author(s):  
Kumari K.A.T.S. ◽  
Dissanayake C.A.K. ◽  
Herath M.M. ◽  
Somakanthan N. ◽  
Wasantha P.G.L. ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Sri Lanka ◽  
Cost Factor

Factorial Structure of Individualism-Collectivism in Sri Lanka

1996 ◽  
Vol 78 (3) ◽  
pp. 907-914 ◽  
Author(s):  
Mark A. Freeman
Keyword(s):  
Factor Analysis ◽  
Sri Lanka ◽  
Cross Cultural ◽  
Sri Lankan ◽  
Factorial Structure ◽  
Item Questionnaire ◽  
Questionnaire Measure

This study investigated the dimensionality of a 21-item questionnaire measure of idiocentrism-allocentrism (the within-culture measure of individualism-collectivism) within the context of Sri Lankan culture. A survey of 438 Sri Lankan respondents, sampled from a wide variety of demographic contexts, provided data. Factor analysis indicated that idiocentrism and allocentrism are two independent, unipolar factors, rather than opposite poles of a single, bipolar dimension. The implications are discussed in the context of existing and future cross-cultural (etic) and within-cultural (emic) research on individualism-collectivism.

scholarly journals Factors Influencing on E-Banking Practices: Evidence from Sri Lanka

2017 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Anusiga Gunaratnam ◽  
Konalingam Kajenthiran ◽  
Umanakenan Ratnam ◽  
Achchuthan Sivapalan
Keyword(s):  
Factor Analysis ◽  
Sri Lanka ◽  
Influencing Factors ◽  
Likert Scale ◽  
Total Variance ◽  
Critical Factors ◽  
Factors Influencing ◽  
Unique Model

The purpose of this paper is to explore the influencing factors of e-banking practices in Sri Lanka. A questionnaire with seven-point Likert scale is applied to 388 usable responses. The study was exploratory in nature and employed factor analysis to identify the important factors of e-banking practices. Results indicate that mainly four factors are significant with respect to the e-banking practices. Privacy & convenience, content & website layout, speed of delivery, and accessibility are the critical factors influencing the e-banking practices. In addition, factors extracted from the analysis accounted for 53.704% of the total variance. This study expected to provide a unique model in the realm of e-banking.

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

scholarly journals A Factor Analytic Investigation of Electronic Word-of-Mouth towards Fast Food Industry in Sri Lanka

2020 ◽  
pp. 64-69
Author(s):  
Saraniya Devendra
Keyword(s):  
Factor Analysis ◽  
Sri Lanka ◽  
Fast Food ◽  
Food Industry ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Positive Word ◽  
Fast Food Industry ◽  
Fast Food Restaurants ◽  
Positive Word Of Mouth

In modern marketing, the Fast Food Industry has experienced lots of changes. These changes have influenced both industries and the nature of the rivalry. Consequently, it is not shocking that these bread winners have been enforced in a puzzling situation to concentrate on their customers instead of positive word of mouth communication. One of the best ways that restaurants can be differentiated from others and accomplish competitive advantage is using positive word of mouth. Consequently, this research is contributed to the vital element that is influencing on Electronic Word-of-Mouth (EWOM) in selective Fast Food Restaurants. The data were collected from a convenience sample of 200 customers in Colombo Divisional Secretariat Division, Sri Lanka. The respondents provided the data utilizing a close-ended questionnaire. Exploratory Factor Analysis has been used to analyze the data and to draw the findings. From the factor analysis, it has been identified that four factors, namely Encouragement, In-depth explanation, Differentiation and Contacts, are the primary influencers. These four factors have combined variance of 55.411% of the decision regarding the adoption of Electronic Word-of-Mouth by Fast Food Restaurants to ensure strategic development.

scholarly journals Oral Impact on Daily Performance (OIDP) scale for use in Sri Lankan Adolescents: a cross sectional modification and validation study

2019 ◽  
Author(s):  
Uttara Amilani ◽  
Prasanna Jayasekara ◽  
Irosha R Perera ◽  
Hannah E Carter ◽  
Sameera Senanayake ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Oral Health ◽  
Sri Lanka ◽  
Cultural Adaptation ◽  
Concurrent Validity ◽  
Principal Component ◽  
Sri Lankan ◽  
Oral Impact ◽  
Bartlett’S Test

Abstract Background Oral Health Related Quality of Life (OHRQoL) surveys play an important role in understanding subjective patient experiences in oral health care. The Oral Impact on Daily Performance (OIDP) scale is a validated OHRQoL tool that measures the impact and extent to which an individual’s daily activities may be compromised by their oral health. It is commonly used to facilitate oral health service planning. The aim of this study was to modify and validate a Sinhalese version of the OIDP for use in Sri Lankan adolescents. Methods The stage I involved cultural adaptation of the tool through translation and modification. After translation and cultural adaptation, the modified OIDP was tested on 220, 15-19 year secondary school students in the Gampaha district, Sri Lanka. The adolescents completed the modified OIDP scale along with questions on self-reported perceived oral health problems and treatment need which were used to assesses the concurrent validity of the modified OIDP scale. Stage II and III involved the exploring factor structure, validation and a reliability assessment. Factorability was assessed by inspection of correlation matrix and Kaiser-Meyer-Olkin and Bartlett's Test of Sphericity tests as a measure of sampling adequacy. An exploratory factor analysis was carried out using Principal Component Analysis method and factors were rotated using the oblimin method. Results 220 adolescents participated in factor analysis and validation studies. The most prevalent oral health impact related to chewing and enjoying foods, reported by 36.8% of respondents The Kaiser-Meyer-Olkin measure was 0.87 and Bartlett’s test of Sphericity was significant (p<0.001) Cronbach’s alpha was calculated as 0.88, indicating a high level of internal consistency. The principal component analysis produced two factors with Eigen values ranging from 1.12 to 4.40, explaining 70.0% of total variance. Concurrent validity was satisfactory as the OIDP score increased when the adolescents’ perceived oral health decreased.Conclusion This study showed that the modified OIDP scale is applicable for use among adolescents in Sri Lanka. It has promising psychometric properties but further research is required to use this tool in other cohorts.

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.

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