PENENTUAN STRATEGI RANTAI PASOK UMKM YANG KOMPETITIF BERDASARKAN LOGISTICAL-CROSSFUNCTIONAL DRIVERS: STUDI KASUS UMKM DI KABUPATEN JOMBANG – JAWA TIMUR

Pengembangan UMKM diperlukan, dengan cara penentuan strategi rantai pasok kompetitif. Penelitian ini bertujuan menentukan strategi rantai pasok UMKM yang kompetitif, dengan menganalisis kebaikan hasil prediksi, kemudian mengidentifikasi strategi kompetitif dari aspek fasilitas, inventori, transportasi (logistical drivers) dan dari aspek informasi, sourcing, pricing (crossfunctional drivers). Selanjutnya menganalis pengaruh tiap aspek tersebut terhadap strategi rantai pasok UMKM kompetitif. Desain penelitian menggunakan desain kuantitatif analitik, dengan data penelitian hasil survei dengan teknik purpose sampling, dan obyek studi kasus UMKM di Kabupaten Jombang Jawa Timur. Metode analisa data menggunakan Structural Equation Modelling-Partial Least Square (SEM-PLS). Hasil penelitian, bahwa kebaikan hasil prediksi berdasarkan evaluasi nilai R2 dan Q2 merupakan prediksi yang baik dan relevan untuk memprediksi. Selanjutnya hasil identifikasi strategi rantai pasok kompetitif dari aspek fasilitas, inventori, transportasi (logistical drivers) diketahui sekitar 30% sampai 40% UMKM yang memiliki arah strategi kompetitif. Kemudian dari aspek informasi, sourcing, pricing (crossfunctional drivers) diketahui sekitar 27%-33% UMKM dengan arah strategi kompetitif. Hasil analisis pengaruh aspek logistical-crossfunctional terhadap strategi rantai pasok UMKM yang kompetitif, disimpulkan semua aspek signifikan berpengaruh. Besarnya koefisien pengaruh terurut dari faktor fasilitas, sourcing, informasi, transportasi, inventori, dan pricing. Implementasi penelitian, dengan mengetahui jumlah UMKM belum kompetitif untuk selanjutnya agar dikembangkan, melalui penerapan prioritas urutan logistical-crossfunctional drivers. Abstract[Determining Competitive MSMEs Supply Chain Strategies Based on Logistical-Crossfunctional Drivers: A Case Study of MSMEs in Jombang Regency-East Java] The development of MSMEs are needed, by establishing a competitive supply chain strategy. This study aims to determine a competitive MSMEs supply chain strategy, by analyzing the goodness of the prediction, then identifying competitive strategies from the aspects of facilities, inventory, transportation (logistical drivers) and from the aspects of information, sourcing, pricing (cross-functional drivers). Furthermore, analyzing the influence of each of these aspects on the supply chain strategy of competitive MSMEs. The research design used a quantitative analytic design, with research data from the survey results using purposive sampling technique, and the object of the MSMEs case study in Jombang Regency, East Java. Methods of data analysis using Partial Least Square- Structural Equation Modeling (PLS-SEM). The results of the study, that the goodness of the prediction results based on evaluating the values of R2 and Q2is a good prediction and relevant to predict. Furthermore, the results of the identification of competitive supply chain strategies from the aspects of facilities, inventory, transportation (logistical drivers) are known that about 30% to 40% of MSMEs have a competitive strategy direction. Then from the aspect of information, sourcing, pricing (crossfunctional drivers), are known that about 27% -33% of MSMEs with a competitive strategy direction. Based on the analysis of the influence of each aspect of the supply chain strategy of competitive MSMEs, it is concluded that all aspects of logistical-cross-functional drivers are significant. The magnitude of the ordered influence coefficient is from the facilities, sourcing, information, transportation, inventory, and pricing. Research implementation, by knowing the number of MSMEs are not yet competitive, so that they are further developed, through the application of priority sequences of logistical-crossfunctional drivers.Keywords: Crossfunctional Drivers; Logistical Drivers; MSMEs Competitive Strategy; MSMEs Supply Chain; PLS-SEM

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Customer Satisfaction Assessment of E-Supply Chain Quality in Online Shopping: A Case Study

10.20944/preprints202009.0181.v1 ◽

2020 ◽

Author(s):

Maryam Abdirad ◽

Krishna Krishnan

Keyword(s):

Supply Chain ◽

Customer Satisfaction ◽

Structural Equation ◽

Online Shopping ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Key Factors ◽

Proposed Model

The purpose of this study is to examine the influence of Services Quality (SQ) of E-Supply Chain (E-SC) on customer satisfaction (CS) in online shopping. After a comprehensive review of the literature, the key factors of E-SC, CS, and SQ identification were selected. Then, the proposed conceptual model was presented. To validate this model, the data was collected through a survey of 150 respondents to diagnose customers’ satisfaction including online customers of “Digikala” online websites in Iran. The model was examined based on the partial least square-structural (PLS). Sample data was analyzed using SPSS21 and PLS. The proposed model was validated using factor analysis and structural equation modeling techniques. The results indicated that E-supply chain management(E-SCM) has a direct impact on CS. The effect of SQ is also confirmed. There is a positive and significant relationship between E-SCM and CS, E-SCM and SQ, and also, SQ and CS (P> 0.05).

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Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

Journal of Open Innovation Technology Market and Complexity ◽

10.3390/joitmc7030167 ◽

2021 ◽

Vol 7 (3) ◽

pp. 167

Author(s):

Mohammad Rokibul Kabir ◽

Md. Aminul Islam ◽

Marniati ◽

Herawati

Keyword(s):

Supply Chain ◽

Technology Acceptance ◽

Structural Equation ◽

Research Work ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Innovation Research ◽

Supply Chain Financing ◽

The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

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The Effect of Trust on the Fishing Industry Supply Chain Performance in Rokan Hilir Regency Riau Province, Indonesia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/934/1/012044 ◽

2021 ◽

Vol 934 (1) ◽

pp. 012044

Author(s):

E Yulinda ◽

K Supian ◽

M Saad

Keyword(s):

Supply Chain ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Government Support ◽

Equation Modeling ◽

Supply Chain Performance ◽

Fishing Industry ◽

Financial Flow ◽

The Relationship

Abstract This research was conducted in August-October 2020 in Rokan Hilir Regency, the largest central of the fishing industry in Riau Province, Indonesia. The research objective to analyse the effect of trust on the fishing industry supply chain performance in the regency. Respondents were set 270 fishing companies based on the Slovin formula. They were taken purposively in four fishing centres, namely Panipahan (Pasir Limau Kapas district), Bagansiapiapi (Bangko), Kubu Babussalam, and Sinaboi. Collecting data using a closed questionnaire, containing a number of statements measured by a 7-point Likert scale. The data collected includes trust (credibility, top management capability, and government support), and supply chain performance (smooth of goods flow, financial flow, and information flow). Data analysed using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method with the help of SmartPLS 3.3 software. The results showed that the trust has a positive and significant effect on the fishing industry performance in Rokan Hilir. This happens because the relationship between fellow entities of fishing industry supply chain occurs based on trust. The relationship between fishing companies (fisherman) and tauke (fish collectors, agents, and exporters) is based on patron-client ties, while the relationship between fellow tauke is based on family/blood ties. Both types of relationships have existed for years.

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Effect of eWOM, Ease of Use, Trust on Purchase Decision (Case Study on Blibli.com)

Jurnal Manajemen ◽

10.32832/jm-uika.v12i3.5142 ◽

2021 ◽

Vol 12 (3) ◽

pp. 446

Author(s):

Vivian Angel ◽

Moses Natadirja

Keyword(s):

Structural Equation ◽

Sampling Technique ◽

Sem Analysis ◽

Ease Of Use ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Purchase Decisions ◽

Positive Effect

<div class="WordSection1"><p><em>The purpose of this study was to determine: 1) Whether eWOM has a positive effect on purchase decisions, 2) Does Ease of Use have a positive effect on purchase decisions, 3) Does trust have a positive effect on purchase decisions. Data collection in this study was carried out using a questionnaire distributed online to Blibli users. The number of respondents used in this study is 100 respondents. The sampling technique used in this study is non-probability sampling by relying on judgmental sampling. Partial least square-structural equation modeling (PLS-SEM) analysis was performed using the SmartPLS 3.0 program to analyze the data. The findings of this study are that eWOM, Ease of Use and Trust have a positive effect on purchase decisions. The contribution of this research can provide input to the Blibli company to better maintain and manage ease of use, trust and electronic word of mouth so that Blibli users can use Blibli more freely and comfortably so that transactions carried out in Blibli can run more smoothly and safely, which is then will give Blibli an advantage as a player in Internet-based transaction systems because it is a fast paced industries that can change in a matter of time.</em></p></div><em><br clear="all" /></em>

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ANALYSIS OF THE IMPLEMENTATION OF SUSTAINABLE BUSINESS FOR COOPERATIVE REPUTATION (CASE STUDY IN SOUTH TANGERANG)

Economics and Business Solutions Journal ◽

10.26623/ebsj.v4i2.2792 ◽

2020 ◽

Vol 4 (2) ◽

pp. 36

Author(s):

Nashar Muhammad

Keyword(s):

Significant Relationship ◽

Structural Equation ◽

Poor Performance ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Economic Activities ◽

Sustainable Business ◽

The Relationship

<p>Cooperatives as one of the drivers of the community's economy face many obstacles in its performance. Poor performance, incompetent human resources, and financial system that is still not good to be a fundamental weakness in the ability of cooperatives to compete in economic activities that are full of challenges today. Of the 150,333 cooperatives in Indonesia the level of success and sustainability of cooperatives is still very small. This study aims to analyze the application of sustainable business to cooperative reputation.in South Tangerang City Data Analysis Method uses Structural Equation Modeling-Partial Least Square (SEM-PLS).The Result of study The relationship between economic aspects and sustainable business is positive and significant. Relationship between social aspects and sustainable business is positive and significant. Relationship between environmental aspects and sustainable business is positive and significant. The relationship between Sustainable business and the reputation of the cooperative is positive and significant</p>

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Impact of Goods and ServicesTax on Supply Chain Management

Business Perspectives and Research ◽

10.1177/22785337211015403 ◽

2021 ◽

pp. 227853372110154

Author(s):

Kuldeep Dhar ◽

Utkal Khandelwal

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Chain Model ◽

Tax System ◽

Chain Management ◽

The Impact

Companies prefer to have their warehouses run in each state before goods and services tax (GST), but after GST whole supply chain phenomenon have changed. The purpose of this study is to address the impact of GST and then see how it affects the wider supply chain management sector. For this conceptual model is adapted and modified from Porter’s value chain model in current GST context. Online convenience sampling survey of 519 respondents from Indian companies which comprised eight different subsectors has been conducted. Partial least square structural equation modeling technique has been used to analyze the data. Findings reveal the empirical significant impact of inbound logistics, supply chain operations and outbound logistics on productivity with GST scenario. In addition, results also established on the moderating role of GST environment on all these direct relationship. This study enriches the knowledge of supply chain operations with the arousal of new tax system GST in India. This research helps managers to understand this new tax system in a better way so that they can adopt this system for enhancing their business performance.

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DETERMINATION of MOTIVATION Muzakki PAYING ZAK at ZAKAT MANAGEMENT Institution (Case study on MSME owners)

Journal of Applied Finance & Accounting ◽

10.21512/jafa.v7i2.6380 ◽

2020 ◽

Vol 7 (2) ◽

pp. 17-28

Author(s):

Nurkholis Nurkholis ◽

Prabowo Yudo Jayanto

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Analysis Tool ◽

Sampled Data ◽

Management Agency

This study aims to test and analyze factors that influence the motivation of Muzakki to pay zakat through religiosity, understanding of zakat, level of income, environmental, accountability of zakat management agency and socialization of zakat management agency. The population in this research is all Muslim SMEs in Semarang, while 100 Muslim SME owners in Semarang that are randomly sampled. Data is collected using the questionnaires and analyzed using Structural Equation Modeling (SEM) and Partial Least Square (PLS) with Smart analysis tool PLS 3.0. The study shows that religiosity, understanding of zakat, income level, environment, and accountability of the zakat management agency has a positive and significant influence on the motivation of Muzakki to pay Zakaah. While socialization of zakat management zakat has no significant effect.

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Implementation of enterprise human resources management standards to achieve supply chain excellence in fertilizer companies in Indonesia

Uncertain Supply Chain Management ◽

10.5267/j.uscm.2020.11.004 ◽

2021 ◽

pp. 107-114 ◽

Cited By ~ 1

Author(s):

Noer Soetjipto ◽

Sulastri Sulastri ◽

Juli Prastyorini ◽

Soedarmanto Soedarmanto ◽

Ari Riswanto

Keyword(s):

Supply Chain ◽

Human Resources ◽

Structural Equation ◽

Career Planning ◽

Employee Performance ◽

Human Resources Management ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Resources Management

Employees have collective skills, abilities and experience that contribute to the interests of the company where they work, and can contribute to the success of supply chain and is a resource that is an asset in achieving supply chain excellence. To examine this relationship, this study investigates the role of human resources management (HRM) on the supply chain management of fertilizer companies in Indonesia, which is focused on the distribution and logistics of fertilizer from producer to their network and consumers. This study took samples from two fertilizer companies in East Java, structural equation modeling (SEM) analysis was carried out with the Smart PLS. 18 (Partial Least Square) program, and shows the value of t = 348.825 with p = 0.000 (p < 0.000) which means there is a significant effect of implementing enterprise human resources management (HRM) standards on company supply chain excellence and represents indicators of management strategy, cost leadership, focus on productivity, logistics, distributions, operational effectiveness, differentiation, and cooperation with companies or other institutions that support each other. The results of this study have provided an overview of the application of enterprise capable of supporting human resource management. Enterprise standards in both fertilizer companies are applied regularly, starting from checking the completeness of the employee database, including contact information, details of salary, compensation and benefits; attendance, employee performance, career planning, work relations, socialization, and informal communication so that the company would be able to adapt and be more flexible towards every need in the present and in the future.

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Factors Influencing Blockchain Diffusion in the Supply Chain

Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-9078-1.ch002 ◽

2019 ◽

pp. 38-60

Author(s):

Samuel Fosso Wamba ◽

Maciel M. Queiroz

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Diffusion Of Innovations ◽

Structural Equation ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Chain Management ◽

Factors Influencing ◽

And Diffusion

The literature concerning supply chain management (SCM) and blockchain integration is scarce, and organizations and decision makers still have a limited knowledge about blockchain solution diffusion in SCM. Under these circumstances, studies aimed to improving the understanding of the main blockchain diffusion factors are fundamental. This chapter is a contribution to bridging such gaps, as it aims to unlock the driving factors of blockchain diffusion in the SCM environment. Based on the emerging literature on blockchain, supply chain management, expectancy theory, and diffusion of innovations, a model was developed and validated, considering data from India's supply chain management professionals. The data was analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that IT deployment capability, compatibility, and trading partner pressure are factors that affect blockchain diffusion significantly. Also, the results bring essential managerial and theoretical implications regarding the blockchain diffusion in the SCM.

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