scholarly journals Companies’ perception toward manufacturing execution systems

Author(s):  
Adil Aramja ◽  
Oualid Kamach ◽  
Rachid Elmeziane

The use of information systems in manufacturing sector is very crucial to reach a high level of operational excellence and improve companies’ competitiveness. The use of such systems will definitely increase in the upcoming years, considering the digitalization strategies. Manufacturing execution systems gained a lot of attention in recent years due to showcased benefits in production management operations. Companies that adopted such systems witnessed an increase in process efficiency and enhancements with regards to cost savings and products quality. This paper seeks to analyze what makes the usage of manufacturing execution systems successful among manufacturing companies. We analyzed how the integration capabilities of such systems with other business applications and the company profile impact their usage and consequently the perceived benefits. A case study was conducted with 51 manufacturing companies and data were analyzed using partial least square structural equation modeling technique. The results confirmed the positive and significant impact of the company profile and solution integration capabilities on system usage. In addition, a ranking of solution modules importance for companies was also provided.

2020 ◽  
Vol 30 (3) ◽  
pp. 205-211
Author(s):  
Rico Anggriawan ◽  
David Kurniawan

This study was conducted in April to August 2019 to determine the relation between broilers’ production management with its business analysis in Kediri district, East Java. The research using survey methods. The questionnaire was used as a data collection tool, which was carried out by interviews and field observations. Determination of location and respondent uses purposive sampling method and selects 25 farmers. Production management indicators consist of five categories; breed, feeding, housing system, maintenance, and health. Business analysis indicators consist of R/C ratio, Break Event Point (BEP), and Payback Period (PP. Data analysis uses descriptive analysis and statistical analysis of the Structural Equation Modeling (SEM) method using the Partial Least Square (PLS) program. The results showed that farmers had implemented production management well. Broiler partnership farm is a profitable business. The value of Revenue Cost ratio was 1.45 and with the Payback Period for 2.97 years. Production management of broiler farms has a positive and significant effect on its business analysis.


2020 ◽  
Vol 9 (2) ◽  
pp. 59-72
Author(s):  
Muhammad Nawawi ◽  
Roza Mulyadi ◽  
Dabella Yunia

The aims of this research is to give empirical evidence of changes in management accounting practices (MA) by examining the effects of changes in data quality, information quality and management accounting tasks on the efficiency and effectiveness of accounting, and indirectly on change in management accounting after the adoption of an enterprise resource planning (ERP) systems. Empirical analysis of the study used primary data from a survey of 29 manufacturing companies with 102 CFO respondents, accounting managers and business controllers, with a response rate of 28.43%, providing significant support for the proposed model. Structural equation modeling (SEM) approach with testing tools using partial least square (PLS) is used in this research. The linear thing with the results of previous research is the same, it was found that the erp implementation time is the determinant of significant MA changes, while the difference from previous researchers is in the end user, where the company that has adopted the ERP system has just felt a greater MA change when compared to users early on. The results showed that the implementation of global ERP and the use of business intelligence tools (BI) were significantly related to changes in MA practices.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Galih Fajar Muttaqin ◽  
Asih Machfodzhoh ◽  
Nabilla Audrey Frishilla

This study aims to examine the effect of Empathetic Leadership on Job Performance with Job Innovation as an Intervening variable. This research is a type of quantitative research, data is collected using primary data and questionnaires to obtain information from respondents, namely middle managers who work in manufacturing companies in the provinces of DKI Jakarta, Banten and Answerarat. The analytical method used is Structural Equation Modeling (SEM) with Partial Least Square (PLS) Path Modeling with the SmartPLS 2.0 analysis tool. The result of this research is that Empathetic leadership has an effect on Job Innovation and Job Performance. Empathetic leadership affects Job Performance through Job Innovation.


2018 ◽  
Vol 16 (3) ◽  
pp. 478-500 ◽  
Author(s):  
Ali-Asghar Dadashnejad ◽  
Changiz Valmohammadi

Purpose One of most important tools for lean production is value stream mapping (VSM), which identifies and reduces errors, losses, waiting time and improves value adding time, leading to enhanced product quality through empowering production unit in terms of production risk and cost reduction in the long term. This paper aims to present a general concept for production flow, such that value stream can be fully understood. For this purpose, this research investigates the effect of value stream on operational losses and analyzes the process that has been conducted in preview step operationally, using the discovered pattern. Design/methodology/approach In this research, related processes were evaluated after the review of the relevant literature and after extracting operational basics of lean approach using a questionnaire, such that all factors affecting operational losses and VSM were assessed. Then comparison between the result of current state map and the result of future state map were done and analyzed. Cronbach’s alpha was calculated to test the designed questionnaire’s reliability, which resulted in an acceptable level of 0.845. The structural equation modeling method through SPSS and Smart–Partial Least Square was applied to analyze the data and test the hypotheses. Findings The results reveal that implementing required changes and corrections will lead directly to production process improvement, which, in turn, results in higher customer satisfaction because of cost reduction and quality enhancement. Also, tests of the hypotheses confirm that VSM affects six operational losses, namely, equipment failures, set-up and changeovers, idling and minor stoppages, reduced speed operation, scrap and rework and startup losses. Research limitations/implications Though this study was done in a single manufacturing company, the implementation of this study delivers important results that can be deployed in other such manufacturing companies. Practical implications This tool helps to identify loss points, make right decisions, and choose the best methods and lean tools for improvement. The surveyed company can integrate lean principles and tools and achieve better results using this tool. Also, this tool could be used to analyze the process and to define necessary changes before changing the process components. Originality/value This study contributes to the body of knowledge in manufacturing research as the study regarding the effects of improvement opportunities identified through VSM on operational losses is still something new.


Kybernetes ◽  
2019 ◽  
Vol 48 (8) ◽  
pp. 1757-1781 ◽  
Author(s):  
Nasser Javid ◽  
Kaveh Khalili-Damghani ◽  
Ahmad Makui ◽  
Farshid Abdi

Purpose This paper aims to propose a multi-dimensional model on the basis of the key factors of the flexibility and the complexity through structural equation modeling (SEM). Dimensions of the flexibilities and complexity, including 16 main factors and 34 sub-factors, are investigated. The sampling of the research is accomplished using both academic and industrial experts. Design/methodology/approach A huge electronic questionnaire analysis, including 1,250 samples from which 1,036 were returned, was accomplished in various universities and manufacturing companies throughout the USA, Europe and Asia. Partial least square-SEM (PLS-SEM) is used to test the hypotheses through confirmatory factor analysis. Findings The results reveal insightful information about the impacts of different dimensions of flexibility on each other and also the effect of the flexibility on the complexity. Finally, system of linear mathematical equations for flexibility-complexity trade-off is proposed. This can be applied to realize the trade-off among dimensions of flexibility and complexity. Originality/value Flexible manufacturing systems are formed to meet the needs of the customers. Such systems try to produce products in appropriate quality at the right time and at the specified quantity. These, in turn, require flexibility and will cause complexity. Although flexibility and complexity are both important, there is no comprehensive framework in which the multi-dimensional relationships of the manufacturing flexibility and complexity, as well as their dimensions, are demonstrated.


2020 ◽  
Vol 11 (2) ◽  
pp. 137-147
Author(s):  
I Made Purba Astakoni ◽  
Ni Putu Nursiani

Abstract The objectives of this study are (1). (2) Analyzing the influence of firm size on profitability, (3) Analyzing the effect of capital structure on profitability, (4) Analyzing the role of capital structure variables in influencing the influence of firm size on profitability. The population in this study were all manufacturing companies in the Cosmetics and Household Purposes Sector listed on the Indonesia Stock Exchange (IDX). The total population in this study is 6 manufacturing companies in the cosmetics sector and household needs. Based on predetermined criteria, the number of samples is 3 companies, so the data analyzed is panel data with a total of 18 observations. Data analysis techniques use the Partial Least Square (PLS) approach. PLS is a model of Structural Equation Modeling (SEM) based on components or variants. PLS is a powerful analytical method because it is not based on many assumptions. The results of analysis and hypothesis testing indicate; The first hypothesis states that there is a significant positive effect on firm size on capital structure. The results of the analysis found that the size of the company had no significant positive effect on the capital structure so that the first hypothesis was not acceptable. The second hypothesis states that there is a significant positive effect on firm size on profitability. The results of the analysis found that the size of the company had no significant positive effect on profitability so that the second hypothesis was not acceptable. The third hypothesis which states there is a significant positive effect of capital structure on profitability. The results of the analysis found that the capital structure had a significant positive effect on profitability so that the third hypothesis could be accepted. In testing with the Sobel test it was found that the capital structure has not been tested as an intervening variable on the effect of firm size on profitability in the Cosmetics and Household Utilities manufacturing companies listed on the Indonesia Stock Exchange (IDX). Keywords: Company size; capital structure; profitability Abstrak Tujuan dari penelitian ini adalah (1). Menganalisis pengaruh ukuran perusahaan terhadap struktur modal, (2)Menganalisis pengaruh ukuran perusahaan terhadap profitabilitas, (3) Menganalisis pengaruh struktur modal terhadap profitabilitas,(4)Menganalisis peran variabel struktur modal dalam mengintervening pengaruh ukuran perusahaan terhadap profitabilitas. Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur Sektor Kosmetik dan Keperluan Rumah Tangga yang terdaftar di Bursa Efek Indonesia (BEI). Adapun jumlah populasi dalam penelitian ini sebanyak 6 perusahaan manufaktur sektor kosmetik dan keperluan rumah tangga. Berdasarkan kriteria yang telah ditetapkan maka jumlah sampel sebanyak 3 perusahaan, sehingga data yang dianalisis merupakan data panel dengan jumlah observasi sebanyak 18. Teknik analisis data menggunakan pendekatan Partial Least Square (PLS). PLS adalah model persamaan Structural Equation Modeling (SEM) yang berbasis komponen atau varian. PLS merupakan metode analisis yang powerfull karena tidak didasarkan pada banyak asumsi.Hasil analisis dan pengujian hipotesis menunjukkan; Hipotesis pertama yang menyatakan terdapat pengaruh signifikan positif ukuran perusahaan terhadap struktur modal . Hasil analisis menemukan ukuran perusahaan berpengaruh tidak signifikan positif terhadap struktur modal sehingga hipotesis pertama tidak dapat diterima. Hipotesis kedua yang menyatakan terdapat pengaruh signifikan positif ukuran perusahaan terhadap profitabilitas . Hasil analisis menemukan ukuran perusahaan berpengaruh tidak signifikan positif terhadap profitabilitas sehingga hipotesis kedua tidak dapat diterima. Hipotesis ketiga yang menyatakan terdapat pengaruh signifikan positif struktur modal terhadap profitabilitas . Hasil analisis menemukan struktur modal berpengaruh signifikan positif terhadap profitabilitas sehingga hipotesis ketiga dapat diterima. Pada pengujian dengan uji Sobel didapat bahwa struktur modal belum teruji sebagai sebagai variabel intervening pada pengaruh ukuran perusahaan terhadap profitabilitas pada perusahaan manufaktur Sektor Kosmetik dan Keperluan Rumah Tangga yang terdaftar di Bursa Efek Indonesia (BEI). Kata Kunci: Ukuran perusahaan; struktur modal; profitabilitas


2014 ◽  
Vol 5 (2) ◽  
pp. 184
Author(s):  
Susi Handayani ◽  
Hariyati Hariyati

AbstractSMEs need information systems that are reliable and competent entrepreneurial personality that will have an impact on managerial performance. Information reliable accounting system according Chenhall and Morris (1986) is one that has the characteristics of broad scope, timeliness, aggregation and integration. Information management accounting system that is broad scope is information that attention focus, quantification, and time horizon. Timeliness dimension has two sub dimensions, namely the frequency of reporting and speed of reporting. Dimensions aggregate is a summary of information by function, time periods, and the decision model. Integrated information reflects the lack of coordination between segments of one and the other subunits within the organization. This research is quantitative. This study uses analysis of causal relationships, that is how one variable affects changes in other variables. To analyze the data, this study uses analysis of Structural Equation Modeling (SEM) approach Partial Least Square (PLS).In data processing using software Warp PLS. The results showed that the Accounting Information Systems Management is broadscope, timeliness, integrated, and the aggregate effect on Managerial Performance is measured using an instrument of self-rating which is reflected in four indicators, namely increased revenue, cost savings, improved customer satisfaction and increased asset utilization. This shows that although SMEs are the type of business that is not great, but still requires a wide range of information, timely, integrated and comprehensive that can assist managers in making informed decisions that impact the increase managerial performance related to efficiency-related costs but still consider satisfaction customers thus increasing the income of the SMEs in environmental conditions of uncertainty. Keywords: SME, SIAM characteristics, Managerial Performance


2018 ◽  
Vol 6 (2) ◽  
pp. 199
Author(s):  
Asep Saifuddin Chalim

This study discussed employee turnover as one of the crucial problems faced by every organization. This study sought to analyze the determinants of turnover intention, such as job insecurity, organizational commitment, and job satisfaction. The objects of this study were newcomer lecturers of private Islamic universities in East Java Province, Indonesia. To analyze the relationship among independent variables and dependent variable; this study employed a correlation path model. To build the structural formulation of the correlation path model, this study used the variance-based Structural Equation Modeling (SEM) as a Partial Least Square (PLS) analysis. The study found that job insecurity influenced job satisfaction and organizational commitment. Moreover, job satisfaction and organizational commitment had positive impacts on the turnover intention. In contrast, job insecurity did not have a direct significant impact on the turnover intention, but it had indirect effect that influences job satisfaction and organizational commitment.


2020 ◽  
Author(s):  
Murat Kayak

This study aims to investigate destination brand prestige, and to explore the mediating effects of destination brand worldness between destination brand prestige and intention to revisit. Research is designed to collect primary data from the Taiwanese tourists. Partial least squares structural equation modeling is used to test the effects. The research model is appropriately implemented in Smart PLS 3 and a full mediation has existed through the empirical findings. The study shows how destination brand worldness mediates the relationship between destination brand prestige and intention to revisit.


2020 ◽  
Vol 4 (4) ◽  
pp. 55-74
Author(s):  
Faqeer Muhammad ◽  
Kifayat Ullah ◽  
Rehmat Karim

This study aims to explore the influence of Natural Resources and Environment (NRE), Politico-Economic Conditions (PEC) on Tourist Behavioral Intension (TBI) in Hunza, Pakistan. The study further investigates the mediating role of Tourist Satisfaction (TS) on the given variables. Partial Least Square Structural Equation Modeling (PLS-SEM) technique has been applied to conceptualize the research frame and to test the proposed hypotheses. Primary data was collected by using convenient sampling technique for analysis from 220 tourists who visited tourism nucleus sites of Hunza. The finding of the study reveals that Natural resources and Environment, Politico-and Economic Conditions have a significant positive impact on Tourist’s Behavioral Intensions. Moreover, Tourist’s Satisfaction partially mediates the positive relationships among Natural Resources and Environment, Political & Economic Conditions and Tourist’s Behavioral Intensions. The findings of the study extend the understanding that presence of natural resources along with healthy environment and stable political & economic conditions of a destination are the key determinants for sustainable tourism development.


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