scholarly journals Impact of enterprise resource planning systems on management control systems and firm performance

2021 ◽  
Vol 9 (3) ◽  
pp. 745-754 ◽  
Author(s):  
Teddy Hikmat Fauzi

The aim of this study is to provide empirical evidence of the mediating effect of Supply Chain Management (SCM) on the relationship between enterprise resources planning (ERP) and financial performance. The empirical analysis in this study is based on primary data obtained from a survey of 300 agricultural sector companies with 220 respondents or with a response rate of 73%. This research was conducted with a Structural Equation Modeling (SEM) approach with a test tool using Partial Least Square (PLS). Overall, the findings in this study indicate that Supply Chain Management (SCM) mediates in part the effects of enterprise resources planning (ERP) on financial performance. The results of this study indicate that the implementation of enterprise resources planning (ERP) results in increased financial performance in the long term and Supply Chain Management (SCM) helps companies achieve increased financial performance in the future.

2021 ◽  
pp. 227853372110154
Author(s):  
Kuldeep Dhar ◽  
Utkal Khandelwal

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.


Author(s):  
Samuel Fosso Wamba ◽  
Maciel M. Queiroz

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.


Author(s):  
Amer Saeed ◽  
H.P. Rasika Priyankara ◽  
N.P.G.S.I. Naotunna

Businesses around the globe are facing tremendous pressures to improve their manufacturing practices to minimize their harmful effects on the environment. These pressures are being exerted from different stakeholders but in developing countries mostly there are powerful suppliers and customers, which can change the choices of decision makers in the local industry. According to institutional theory these pressures combined are called normative pressures. By using path modeling this study attempted to find out the role of normative pressures to adopt green supply chain management (GSCM) practices and the impact of those adopted practices on environmental and economic performance of those companies through partial least square (PLS) structural equation modeling (SEM). Data was collected from 134 manufacturing companies in Pakistan through a questionnaire. Path analysis results confirmed that normative pressures have positive and significant impact on adopting the GSCM practices and subsequently these practices improve the environmental performance of the companies in Pakistan. Results also confirmed many existing studies that GSCM practices directly do not improve economic performance but environmental performance does have a significant positive effect on the economic performance


Author(s):  
Samuel Fosso Wamba ◽  
Maciel M. Queiroz

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.


2021 ◽  
Vol 9 (3) ◽  
pp. 617-624 ◽  
Author(s):  
Elza Syarief

This research was conducted to examine the extent to which market uncertainty can encourage market players, especially SMEs, to exploit innovation and environmentally friendly orientation to improve their performance. From a supply chain perspective, market uncertainty, which in this study is proxied by the Covid-19 pandemic, has great potential to reduce performance and disrupt production and distribution lines as well as consumer demand. This encourages affected SMEs, such as SMEs that focus on providing tourism products, such as fashion and merchandise, to maintain their performance with product innovation, and minimize the use of non-environmentally friendly products. The object of research is Small and Medium Enterprise (SME) producing tourism souvenirs in Yogyakarta, Indonesia. Using the analysis technique of Structural Equation Modeling (SEM) with 150 respondents, the findings indicate that market uncertainty serves as a catalyst for SMEs to maintain performance through marketing innovation and product reorientation. Specifically, the results show that there is a positive and significant influence between innovation and green orientation on SME performance, and the mediating effect of market uncertainty to increase marketing innovation and environmentally friendly orientation. These findings theoretically contribute to explaining the relationship between supply chain management in the context of market uncertainty. In practical terms, this study confirms the need for support by stakeholders to support limited domestic tourism, according to health protocols, as well as digitalization of marketing for tourism SMEs.


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