scholarly journals Non-financial factors affecting livestock farm’s performance in meat supply chain

New Medit ◽  
2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Information Quality ◽  
Positive Association ◽  
Opportunistic Behavior ◽  
Factors Affecting ◽  
Financial Factors ◽  
Test Study ◽  
Factors Affecting Performance

This article investigates non-financial factors affecting performance of livestock farms in the meat supply chain in Albania. A structured questionnaire was developed to collect data in three main regions of Albania (Tirana, Korça and Lushnje). Confirmatory factor analysis is used to develop measures for the non-financial factors (i.e. trust, contracts, opportunistic behavior, information sharing and information quality) and Structural Equation Modelling is employed to test study hypotheses. The result shows that trust is positively associated with farm’s performance. On the other hand, communication (i.e. resulting from the merge of information sharing and information quality) is negatively associated with performance. However, communication appears to have a positive association with farm’s performance indirectly through its effect on trust. Thus, it can be deducted that communication builds trust and trading relationship based on trust show higher levels of farm’s performance. Lastly, contracts and opportunistic behavior do not show any significant association with farm’s performance.

Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry

2020 ◽  
Vol 31 (3) ◽  
pp. 697-723
Author(s):  
Yue Zhang ◽  
Derek Baker ◽  
Garry Griffith
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Framework ◽  
Information Sharing ◽  
Structural Equation ◽  
Information Quality ◽  
Structural Equation Models ◽  
Red Meat ◽  
Costs And Benefits ◽  
Content Type

PurposeThis paper aims to address the association between the quality and quantity of information in supply chains and the costs and benefits of generating, using and sharing it.Design/methodology/approachThe authors’ conceptual framework draws on multiple disciplines and theories of the value and use of product information. Controllable aspects of information, its quality and quantity, are the focus of the study as drivers of firm and chain performance. Structural equation models of constructs at two stages of the Australian red meat supply chain are employed, using data from a survey of 81 sheep and cattle breeders and commercial producers.FindingsInformation quality influences performance more for some product attributes than others and is more influential than is information quantity. Information sharing for many attributes generates benefits only at high cost. Investment in measurement and transmission technologies is supported for intrinsic and extrinsic measures of quality. Differences in respondents' evaluation of information quality are interpreted as evidence of persistent chain failure.Originality/valueTo the authors' knowledge, this is the first attempt at quantifying and comparing the benefits and costs of information sharing across multiple stages of a supply chain and the first to assess quantitatively the role played by information quality and quantity in generating costs and benefits.

scholarly journals Interrogating antecedents to SME supplier performance in a developing country

2019 ◽  
Vol 20 (1) ◽  
pp. 259-285 ◽  
Author(s):  
C Mafini ◽  
D R I Pooe ◽  
V W Loury-Okoumba
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
Information Quality ◽  
Sampling Technique ◽  
Positive Influence ◽  
Institutional Trust ◽  
Supply Chain Collaboration ◽  
Measurement Scales ◽  
Supplier Performance

The purpose of this study was to analyse the antecedents to supplier performance by examining the relationship between information sharing, information quality, institutional trust, supply chain collaboration and supplier performance in small and medium enterprises (SMEs). A quantitative design was adopted in which a survey questionnaire was administered to 400 owners and managers of SMEs based in the southern part of Gauteng, South Africa. Respondents were selected using a nonprobability convenience sampling technique. Data was analysed using a combination of the Statistical Packages for the Social Sciences (SPSS version 22.0) and Analysis of Moment Structures (Amos version 22) software. The psychometric properties of the measurement scales were ascertained using confi rmatory factor analysis (CFA). Hypotheses were tested using structural equation modelling (SEM). Information sharing exerted a positive influence on both institutional trust and supply chain collaboration. Information quality exerted a strong positive influence on institutional trust but had an insignificant influence on supply chain collaboration. Institutional trust was statistically insignificant, whereas supply chain collaboration was statistically significant in influencing supplier performance. The results of this study validate the roles performed by the constructs examined in facilitating the improvement of supply chain activities among SMEs and their suppliers.

scholarly journals Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks

2020 ◽  
Vol 12 (21) ◽  
pp. 8882 ◽  
Author(s):  
Daeheon Choi ◽  
Chune Young Chung ◽  
Thou Seyha ◽  
Jason Young
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
New Technologies ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Supply Networks ◽  
Factors Affecting ◽  
Supply Chain Networks ◽  
Blockchain Technology ◽  
Technological Barriers

From a supply chain perspective, new technologies such as blockchain can improve the efficiency and competitiveness of logistics and increase customer satisfaction. Although blockchain technology has been lauded as a way for firms to build sustainable supply chain networks, the rate of acceptance of this technology remains low. Therefore, this study seeks to identify the factors that discourage firms from merging blockchain with the supply chain. Instead of providing further reasons for adopting blockchain technology, we try to understand what deters firms from adding blockchain to their operations. Following the deductive approach, a confirmatory factor analysis is conducted on pre-test questionnaires to test, improve, and verify the constructs (questions) to measure the hypothesized factors. A theoretical model is proposed based on the hypotheses, and structural equation modeling is applied. The results are estimated using the partial least squares approach and a sample of 83 respondents. Our findings based on our empirical data support most of our hypotheses. We find that various factors impede the adoption of blockchain technologies, including technological barriers, constraints rooted in organizations and the environment, and system-related governmental barriers. In addition, various factors are critical determinants of resistance to blockchain in the technological, organizational, and environmental dimensions.

Understanding continuance usage intention of mHealth in a developing country

2020 ◽  
Vol 14 (2) ◽  
pp. 251-272 ◽  
Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Least Squares Method ◽  
System Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Continuance Usage ◽  
The Government ◽  
Continuance Usage Intention

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

scholarly journals THE INFLUENCE OF INFORMATION SHARING AND INFORMATION QUALITY TOWARD SUPPLY CHAIN INTEGRATION AND ENTERPRISE PERFORMANCE (Study of Shallot Farmers in East Java)

2020 ◽  
Vol 28 (2) ◽  
pp. 101-120
Author(s):  
Roihatul Musyafi ◽  
Hamidah Utami ◽  
Arik Prasetya
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Business Performance ◽  
Information Quality ◽  
Life Cycles ◽  
Supply Chain Integration ◽  
Primary Data ◽  
Performance Study ◽  
Global Business

Purpose — This research was conducted to study the effect of information sharing and information quality toward supply chain integration and farmer business performance. Design/methodology/approach — The type of this research is quantitative explanatory research. The data used in this study are primary data obtained by questionnaire. The sampling method uses multistage proportional random sampling, sample obtained amount 200 farmers. Data analysis in this study uses path analysis method with SPSS 23. Findings — The results of this research indicate that the quality of information is not significant to the integration of supply chain and farmer business performance. Information sharing has a positive and significant effect toward supply chain integration and farmer business performance, supply chain integration has a positive and significant effect toward farmer business performance. Practical Implications — Increasing global business competition and efforts to shorten product life cycles are the two main factors that encourage businesses to change their focus from competitive competition to mutually beneficial relationships and cooperation to improve business performance. Originality/value — The main objective of supply chain activities for business activities is a crucial element because with these activities the goods produced can reach the end consumers.

scholarly journals AN INVESTIGATION THE RELATIONSHIP BETWEEN ORGANIZATIONAL CULTURE AND EXTERNAL CUSTOMER SATISFACTION ORIENTATION (An Empirical Study of four stars hotels in Tripoli- Libya)

2020 ◽  
Vol 28 (2) ◽  
pp. 121-147
Author(s):  
Yousef Zaroug ◽  
Armanu Thoyib ◽  
Djumilah Hadiwidjojo ◽  
Ir Solaimun
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Business Performance ◽  
Information Quality ◽  
Life Cycles ◽  
Supply Chain Integration ◽  
Primary Data ◽  
Global Business ◽  
External Customer

Purpose — This research was conducted to study the effect of information sharing and information quality toward supply chain integration and farmer business performance. Design/methodology/approach — The type of this research is quantitative explanatory research. The data used in this study are primary data obtained by questionnaire. The sampling method uses multistage proportional random sampling, sample obtained amount 200 farmers. Data analysis in this study uses path analysis method with SPSS 23. Findings — The results of this research indicate that the quality of information is not significant to the integration of supply chain and farmer business performance. Information sharing has a positive and significant effect toward supply chain integration and farmer business performance, supply chain integration has a positive and significant effect toward farmer business performance. Practical Implications — Increasing global business competition and efforts to shorten product life cycles are the two main factors that encourage businesses to change their focus from competitive competition to mutually beneficial relationships and cooperation to improve business performance. Originality/value — The main objective of supply chain activities for business activities is a crucial element because with these activities the goods produced can reach the end consumers.

scholarly journals Investigating the factors affecting the development of the humanitarian aid supply chain by popular athletes

2021 ◽  
Vol 9 (SPE2) ◽  
Author(s):  
Yeganeh Gheibi ◽  
Shahab Bahrami ◽  
Mohsen Bagherian Farahabadi
Keyword(s):  
Supply Chain ◽  
Quantitative Analysis ◽  
Structural Equation ◽  
Humanitarian Aid ◽  
Equation Method ◽  
Factors Affecting ◽  
Research Results ◽  
Technological Factors

In the quantitative analysis of the research, the structural equation method with the PLS approach has been used. The results of the present study showed that; 25 micro actives were extracted through interviews, these factors were divided into 5 categories: cultural, managerial, legal, human, and communication-technological factors. The research results showed that; among the factors affecting the development of the humanitarian aid supply chain through popular athletes, managerial factors had the most role and importance (impact = 0.983; T-factor = 427.756). This highlights the importance and necessity of management platforms for the development of the humanitarian aid supply chain through popular athletes.

scholarly journals The role of relationship quality and loyalty between rice farmers and food companies in supply chain

2021 ◽  
Vol 9 (4) ◽  
pp. 851-856 ◽  
Author(s):  
Quoc Nghi Nguyen ◽  
Van Nam Mai
Keyword(s):  
Supply Chain ◽  
Relationship Quality ◽  
Structural Equation ◽  
Mekong Delta ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Rice Farmers ◽  
Perceived Benefit ◽  
Impacting Factors

Relationship quality plays a key role in maintaining the connection among parties in a supply chain. Relationship quality promotes loyalty of the supply chain’s factors. This study applies structural equation modeling (SEM) to point out factors affecting the relationship quality and loyalty between farmers and food companies in the rice supply chain. The research data were collected by stratified sampling with a sample size of 232 farmers associating with food companies in the rice supply chain in the Mekong Delta. The four impacting factors that the study has found out include trust, perceived benefit, support policy, and payment terms. Most importantly, the study has demonstrated that relationship quality has a positive correlation with loyalty among parties in the regional rice supply chain.

Supply chain network and information sharing effects of SMEs’ credit quality on firm performance

2019 ◽  
Vol 32 (5) ◽  
pp. 714-734 ◽  
Author(s):  
Zulqurnain Ali ◽  
Bi Gongbing ◽  
Aqsa Mehreen
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Information Sharing ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Individual Characteristics ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Content Type ◽  
Credit Quality

Purpose The purpose of this paper is to examine how a supply chain (SC) network helps small and medium enterprises (SMEs) to obtain liquidity and working capital for enhancing their performance while developing the relationships among SC members through information sharing. Moreover, this study also investigates whether a strong tie or bridge tie improves the availability of SMEs’ credit and performance. Design/methodology/approach Using a survey approach, data were collected from textile SMEs, located in Pakistan. Structural equation modeling and hierarchical regression model were run to validate the proposed model and the relationships. Findings Findings highlighted that strong tie and bridge tie of SMEs positively and significantly enhance the credit quality and SMEs’ performance. Furthermore, information sharing significantly moderates the relationship between SC network ties and SMEs’ credit quality. Credit quality significantly explains the indirect (mediation) association between the strong tie and the firm performance. Practical implications This study will help the SMEs’ entrepreneurs and SC executives to strengthen the liquidity position of SME and improve SMEs’ performance by developing the bridge ties. SMEs should share more information in their SC network while performing business transactions so that financers or lenders can easily access their operational capabilities and individual characteristics to offer them quality credit such as supply chain finance (SCF). Originality/value SMEs always face the issue of risk-free financing which adversely affects the firm performance. This study covered the hidden gap in SCM and SMEs’ financing literature by identifying the crucial role of SCF as quality credit in the development of SMEs. Moreover, SMEs can get benefits (e.g. quality credit=SCF) for better embedding in an SC network through information sharing.

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