scholarly journals Logistics Outsourcing in Large Manufacturing Companies: The Case of Slovenia and Lessons from Other Countries

2021 ◽  
Vol 23 (3) ◽  
Author(s):  
Marko Budler ◽  
Marko Jakšič ◽  
Teja Vilfan
Keyword(s):  
Manufacturing Companies ◽  
Logistics Outsourcing

Disentangling the driving factors of logistics outsourcing: a configurational perspective

2019 ◽  
Vol 32 (6) ◽  
pp. 964-992 ◽  
Author(s):  
Qingyao Wan ◽  
Yang Yuan ◽  
Fujun Lai
Keyword(s):  
Qualitative Comparative Analysis ◽  
Third Party ◽  
Manufacturing Companies ◽  
Positive Role ◽  
Logistics Outsourcing ◽  
Content Type ◽  
Logistics Services ◽  
Different Types ◽  
External Management ◽  
Configural Analysis

Purpose The purpose of this paper is to explore how external pressures, internal capability and transaction attributes of logistics outsourcing synergically influence the extent of asset-based and non-asset-based logistics outsourcing. Design/methodology/approach Based on the data surveyed from 250 manufacturing companies in China, this study employed fuzzy-set qualitative comparative analysis (fsQCA) to deduce multiple configurations for logistics outsourcing decisions. Findings The results suggest that asset-based logistics outsourcing is primarily driven by external imitation pressures or internal demands for logistics technologies, while non-asset-based logistics outsourcing is mainly driven by the demands for external management-based logistics services. Asset specificity plays a positive role in promoting both asset-based and non-asset-based logistics outsourcing. The requirement for third-party logistics (3PL) management capability depends on the outsourcing types and outsourcing causes. Practical implications This study provides guidance to practitioners for them to make outsourcing decisions. It suggests that asset-based logistics outsourcing is more appropriate when there are high external imitation pressures or more internal logistics demands, while non-asset-based logistics outsourcing should be used only when a firm needs management-based logistics services. Besides, 3PL users are suggested to outsource their logistics when their 3PL providers are required to make specific investments. In addition, managers should carefully evaluate firms’ capabilities in managing outsourcing relationships. Originality/value Previous studies largely ignored the interaction effects of a set of factors on logistics outsourcing decisions, and to date, little research empirically examined how outsourcing is driven in terms of different types of outsourcing. Drawing on the institutional theory, dynamic capability view, and transaction cost theory and overarching under the complexity theory, this study examines how institutional, organizational and transactional factors interplay with each other to influence different types of logistics outsourcing (i.e. asset based and non-asset based). Methodologically, the configural analysis (i.e. fsQCA) is applied to explore complex causal configurations that drive logistics outsourcing.

scholarly journals Priority Types of the Enterprise Logistic Activities for Outsourcing

2020 ◽  
Vol 24 (1) ◽  
pp. 189-193
Author(s):  
K. Sokoliuk ◽  
◽  
A. Lyashenko ◽  
Keyword(s):  
Point Of View ◽  
Third Party ◽  
Mixed System ◽  
Third Party Logistics ◽  
Manufacturing Companies ◽  
Statistical Research ◽  
Logistics Outsourcing ◽  
Global Trends ◽  
Management Optimization ◽  
Freight Forwarding

Annotation. Introduction. The article examines the services of logistic outsourcing from the point of view of Ukrainian manufacturing companies, analyzes the results of the survey, compares them with global trends. It was determined that Ukrainian companies use logistic outsourcing less often than companies in other regions of the world. Also, the most often outsourced fields were identified. Purpose. Analysis of logistics outsourcing services from the viewpoint of Ukrainian manufacturing companies and comparison of survey results based on the survey with global trends. Results. It was found that from the list of enterprise groups classification (micro, small, medium, large) all categories use the services of freight forwarding companies. The following types of logistic processes are most often outsourced: transportation, lease and maintenance of equipment, warehousing, logistic chain optimization. It was found that among other countries in the study of third-party logistics, Ukraine occupies the lowest position in the usage of outsourcing services in logistics. The reasons for outsourcing logistic processes in logistics are significant: lack of own resources and capacity, cost reduction. The relationship between causes and logistic processes has shown that in order to reduce logistic costs in the enterprise it is necessary to outsource transportation. Conclusions. Statistical research has shown a small relationship between the areas of logistic outsourcing and the main causes of outsourcing of logistic activities. Therefore, it is not appropriate to say that some logistical measures should be outsourced and others should not. The mixed system, which combines the usage of own and third-party production facilities, is the most suitable for most Ukrainian manufacturing companies Keywords: logistics, outsourcing, third-party logistics, transport, warehousing, supply chain management, optimization, respondent, survey.

scholarly journals CHALLENGES OF IMPORT LOGISTICS OUTSOURCING BY MANUFACTURING FIRMS IN NAIROBI COUNTY

2017 ◽  
Vol 1 (1) ◽  
pp. 86-106
Author(s):  
Anne Wanjiru Njoroge ◽  
Mr. Onserio Nyamwange
Keyword(s):  
Manufacturing Industry ◽  
Total Population ◽  
Manufacturing Firms ◽  
Third Party ◽  
Sample Survey ◽  
Primary Data ◽  
Third Party Logistics ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Business Functions

Purpose: The purpose of this study was to investigate challenges of import logistics outsourcing by manufacturing firms in Nairobi CountyMethodology: The research design of this study was a sample survey of the importers in the manufacturing industry as per the Kenya Association of Manufacturers. The total population of the companies in the manufacturing industry in Nairobi was 455 manufacturing firms. Primary data was collected via self-administered questionnaires with both open ended and closed questions that were designed to elicit specific responses for qualitative and quantitative analysis respectively. The data was analyzed by use of descriptive statistics.Results: The results indicated that the important reasons of outsourcing were satisfactory in explaining the decision by manufacturing companies to outsource. The reasons of outsourcing are a key determinant in deciding to outsource import logistics. The extent of challenges the importers face when importing services also determined the decision to outsource in the firms.Unique contribution to theory, practice and policy: The study recommends that the manufacturing firms should put more focus on core business functions and ensure reduction of overhead costs. They should take advantage of external expertise and experience and put measures to improve internal capabilities and expertise. The firms should reduce the total overall costs and where third party logistics providers provide a better service contract them. They should also emphasize on improved customer focus put measures to enable them compete effectively in the market.

scholarly journals CHALLENGES OF IMPORT LOGISTICS OUTSOURCING BY MANUFACTURING FIRMS IN NAIROBI COUNTY

2017 ◽  
Vol 1 (1) ◽  
pp. 86
Author(s):  
Anne Wanjiru Njoroge ◽  
Mr. Onserio Nyamwange
Keyword(s):  
Manufacturing Industry ◽  
Total Population ◽  
Manufacturing Firms ◽  
Third Party ◽  
Sample Survey ◽  
Primary Data ◽  
Third Party Logistics ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Business Functions

Purpose: The purpose of this study was to investigate challenges of import logistics outsourcing by manufacturing firms in Nairobi CountyMethodology: The research design of this study was a sample survey of the importers in the manufacturing industry as per the Kenya Association of Manufacturers. The total population of the companies in the manufacturing industry in Nairobi was 455 manufacturing firms. Primary data was collected via self-administered questionnaires with both open ended and closed questions that were designed to elicit specific responses for qualitative and quantitative analysis respectively. The data was analyzed by use of descriptive statistics.Results: The results indicated that the important reasons of outsourcing were satisfactory in explaining the decision by manufacturing companies to outsource. The reasons of outsourcing are a key determinant in deciding to outsource import logistics. The extent of challenges the importers face when importing services also determined the decision to outsource in the firms.Unique contribution to theory, practice and policy: The study recommends that the manufacturing firms should put more focus on core business functions and ensure reduction of overhead costs. They should take advantage of external expertise and experience and put measures to improve internal capabilities and expertise. The firms should reduce the total overall costs and where third party logistics providers provide a better service contract them. They should also emphasize on improved customer focus put measures to enable them compete effectively in the market.

Drivers of logistics outsourcing: examining transaction costs, core competences and planned behavior

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oskari Rintala ◽  
Tomi Solakivi ◽  
Sini Laari ◽  
Juuso Töyli ◽  
Lauri Ojala
Keyword(s):  
Supply Chain ◽  
Planned Behavior ◽  
Structural Equation ◽  
Structural Model ◽  
Third Party ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Logistics Outsourcing ◽  
Content Type ◽  
The Core Competence

PurposeThis study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.Design/methodology/approachThe literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.FindingsSupply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.Research limitations/implicationsThe constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.Practical implicationsThe factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.Originality/valueThe findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

Pengaruh Good Corporate Governance Terhadap Nilai Perusahaan Dengan Variabel Intervening Profitabilitas

2017 ◽  
Vol 25 (1) ◽  
pp. 13-39
Author(s):  
Achmad Tjahjono ◽  
Siti Chaeriyah
Keyword(s):  
Corporate Governance ◽  
Path Analysis ◽  
Executive Director ◽  
Audit Committee ◽  
Positive Impact ◽  
Institutional Ownership ◽  
Analysis Tool ◽  
Manufacturing Companies ◽  
Company Value ◽  
Good Corporate Governance

The Company was founded with the goal of increasing the value of the company as well as to provide prosperity for the owners or shareholders. Good Corporate Governance and profitability is an effort to enhance company value. This study aims to determine the influence of good corporate governance to company value with profitability as intervening variable. The population of this research is manufacturing companies listed in Indonesia Stock Exchange in 2010 - 2014. The sample is taken by using purposive sampling method. Under this method, as many as 123 companies were obtained. The analysis tool to test the hypothesis is path analysis with AMOS software version 21. Data analysis method is descriptive analysis, path analysis, and sobeltest. The results of this study indicate that managerial ownership, the audit committee and the profitability have positive impact toward the of the company value, institutional ownership has positive impact but not significant, non-executive director with negative effect tendency on the company value. The results of this study also showed that profitability cannot mediate the effect of good corporate governance mechanisms on company value. It can be suggested to replace the intervening variable with other variables such as quality of earnings instead of profitability since it is declined as an intervening variable. non-executive director and institutional ownership does not contribute any positive and significant effect on company value and profitability. The following research can use another proxy in the measurement process and consider other theories that could explain comprehensively.

Dividend Payout Ratio: Persoalan Free Cashflow, Debt To Equity Ratio, Kepemilikan Institutional, Investment Opportunity, Dan Kesejahteraan Karyawan

Liquidity ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Nurlis Azhar ◽  
Helmi Chaidir
Keyword(s):  
Cash Flow ◽  
Significant Influence ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Free Cash Flow ◽  
Manufacturing Companies ◽  
Flow Ratio ◽  
Prediction Ability ◽  
Employee Welfare ◽  
Equity Ratio

This study was conducted to examine the effect of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (Parliament) partially on manufacturing companies listed on Indonesia Stock Exchange period 2011-2015. In addition, to test the feasibility of regression model, the influence of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (DPR) simultaneously at manufacturing company listed on Bursa Indonesia Securities period 2011-2015. The population in this study are 146 manufacturing companies that have been and still listed in Indonesia Stock Exchange period 2011-2013. The sampling technique used was purposive sampling and obtained sample of 42 companies. Data analysis technique used is by using multiple linear regression test. The results showed that Free Cash Flow Ratio, no significant effect on Divident Payout Ratio (DPR). Debt Equity Ratio (DER) has a negative and significant influence on Divident Payout Ratio (DPR), Institutional Ownership has a significant positive effect on Divident Payout Ratio (DPR), Employee Welfare and Price Earning Ratio (PER) has a positive and significant influence on the Divident Payout Ratio ). Simultaneously Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) give effect to Divident Payout Ratio. The prediction ability of the five variables to the Divident Payout Ratio (DPR) is 21.3% as indicated by the adjusted R square of 0.271 while the remaining 79.7% is influenced by other factors not included in the research model.

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