Australian Lamb Supply Chain: A Conceptual Framework

In the last decade, supply chain management has played an important role to lead agribusiness today to succeed in their business goals, to gain competitive advantages, and to improve business performance. As the result of that, there has been extensive studying in a popular topic of strategic supply chain management in order to improve business performance as well as along supply chain performance under the real situation. This is because in current business world, supply chain practices are crucial to influence many agribusinesses to continuously adapt proper supply chain management in their nature of business. This paper will propose a conceptual framework of supply chain practices and supply chain performance indicators of the Australian Lamb Industry.Lamb Supply Chain, Supply Chain Management, Livestock Production/Industries,

Supply Chain Practice, Supply Chain Performance Indicators and Competitive Advantage of Australian Beef Enterprises: A Conceptual Framework

This research focuses on an Australian agribusiness supply chain, the Australian Beef Supply Chain. The definition of the Australian Beef Supply Chain is the chain or sequence of all activities from the breeding property to the domestic or overseas consumers. The beef sector in Australia is undergoing rapid change because of globalisation, a highly competitive beef market (local and export), quicker production cycle and delivery times and consequently reduced inventories, a general speed-up of the rate of change in the business environment, the trend toward more outsourcing of activities, and the rapid development of IT. In this business environment, advanced supply chain systems have the potential to provide significant contributions to Australian beef industry performance. A conceptual framework of the research project has been proposed. There are three elements of conceptual framework. Firstly, supply chain practice of Australian beef industry consists of five sub-elements such as strategic supplier partnerships, customer relationships, information sharing, information quality and a lean system. Moreover, there is an antecedent of cooperative behaviour such as trust and commitment influencing supply chain practice and supply chain performance indicators. Secondly, supply chain performance indicators include four sub-elements such as flexibility, efficiency, food quality and responsiveness. Finally, the competitive advantage framework of the Australian beef enterprises consists of price, quality, export sales growth and time to market. As a further step of the research after developing the conceptual framework, the research project focuses the analysis on how the antecedents of the sub-elements of supply chain practice affect supply chain performance in Australian beef enterprises, how trust and commitment in trading partners affect supply chain performance, how attributes such as flexibility, efficiency, food quality and responsiveness influence the sub-elements of competitive advantage. The research project leads on to further work on how Australian beef enterprises measure their supply chain performance and what the major difficulties are arising when implementing supply chain management in the Australian beef industry and what kind of changes can be made to beef supply chains to enhance their performance.Agribusiness,

THE ANALYSIS OF SUPPLY RESPONSE OF RICE UNDER RISK IN JAMBI PROVINCE

Farmers’ supply responsiveness planting rice in Jambi Province was estimated using Meta- Profit analysis function. The objective of study is to analyze rice farmers’ supply response. Research was conducted in Jambi Province in the year of 2010. Result showed that farmers’ profit planting rice increased because its price increased. Furthermore, its share decreased when its labour wage increased. This implied to farmers to plant rice because rice was relatively more profitable than other plants. The result showed that farmers tended to pushed risk in planting decision. As expected that irrigation index was also the important significant factor. Following it found that its profit planting rice increased in wet season. This results were consistent with the fact that the water availability was important factor to plant rice. The consistency of previous result, it found that profit to plant rice was the positive determination with irrigation index. This implied that government policy in agriculture had positive impact on technological adoption. The analysis production function suggested that labour and fertilizer elasticities higher than zero significantly. Production rice elasticity by considering the number of labour used was a little bit lower than fertilizer. As expected, it found that rice production elasticity by considering irrigation index was bigger than zero significantly.Crop Production/Industries,

Consumer behavior analysis on sales process model using process discovery algorithm for the omnichannel distribution system

Currently, Omnichannel distribution services are experiencing very rapid development around the world. In the Omnichannel distribution services, each existing sales channel will be connected to each other through integration capabilities so that no channels are left neglected. This is able to provide the best experience for consumers when shopping both online through mobile devices, laptops, and in physical stores. But on the other hand, this creates problems for business people who develop Omnichannel services. On the one hand, it facilitates the marketing process, but on the other hand, business people have difficultyreading the behavior of consumers who use Omnichannel distribution services. One way to analyze consumer behavior is to use the Process Discovery approach to obtain a process model. There are several Process Discovery Algorithms capable of describing and analyzing process models. In this paper, an experiment was carried out using the sales event log dataset generated from the Omnichannel distribution service system. Service channels used are Marketplace, Web Store, Social Media, Social Media Shop, and Media Messenger. Sales process modelling is generated using the Inductive Miner Algorithm, Heuristic Algorithm, Alpha Miner Algorithm and Fuzzy Miner Algorithm. Then the next step is to measure the process model obtained by Conformance Checking. The purpose of process modeling and measurement is to obtain a sales process model that can predict consumer behavior patterns well. The results of the analysis show that the process model generated by the Fuzzy Miner Algorithm is the best process model for describing consumer behavior in Omnichannel Distribution Services in this study. Based on the process model obtained with the Fuzzy Miner Algorithm, consumer behavior shows that the majority of consumers spend time on social media channels and then make purchases on the Marketplace channel. In addition, the results of the analysis show that consumers make more transactions on the Marketplace channel compared to the webstore channel or Social Media Shop channel

Image analysis of periapical radiograph for bone mineral density prediction

Osteoporosis is a systemic skeletal disease. Parameter from any bone site in the body has possibility to be developed as a predictor of osteoporosis. The alteration in the mandible trabecular bone is visible in periapical radiographs. The aim of this study was to correlate the area parameter and the integrated density of periapical radiograph with bone mineral density. Image analysis of periapical radiograph i.e. measurement of area parameter and integrated density was done on Region of Interest (ROI) by using canny edge detection method. Result of this study showed that the area parameter has asignificant (α \u3c 0.05) negative correlation with the bone mass density (BMD) of the lumbar spine (r = -0.371) and T-score of the lumbar spine (r = -0.383). The linear regression test showed that the area parameter only can be used to predict T-score of the lumbar spine (F=5.822, α \u3c 0.05). The integrated density showed a significant (α \u3c 0.05) negative correlation with T-score of hip (r = -0.332) and T-score of lumbar spine (r = -0.377). It can be concluded that the area parameter can be used as one of input parameters for computer-aided system of osteoporosis early detection by using periapical radiograph

Risk perception and psychological behavior of investors in emerging market: Indonesian stock exchange

Capital market functions as a mediator between parties who have excess funds that is, investors and those who need the funds that is, emitents. Decision to sell and buy shares of a financial asset is very strategic decision for investors because it is associated with the chances of return to be earned in the future. The objective of this paper is to investigate the investor\u27s psychology on buying and selling common stock in the stock exchange in emerging market. The specific purpose of this research is to provide the simultaneous empirical evidence about the perception of risk, psychology aspects towards the confidence and performance. The sample consists of 100 individual investors in Palembang, South Sumatera, Indonesia. The data were collected during March-May 2016 using questionnaire. Research findings show that perception of risk and psychology significantly affect confidence. Furthermore, confidence has a significantly positive impact on performance. This research has not been explained entirely towards the investor\u27s psychological behavior aspects, so the additional variable may be needed as the full reflection of investor\u27s psychology. The further research may use experimental study, starts from buying stocks, and factors that can be considered in selling stock

Intention to buy, interactive marketing, and online purchase decisions

The digital era changes marketing activities and consumer behavior, particularly by changing conventional transactions into digitalized ones through online marketplaces. Before consumers make purchase decisions, they usually experience a phase in which they have needs and desires to choose, have, and use certain products. This phase is commonly known as intention to buy. However, intention to buy alone is insufficient in encouraging ones to make purchase decisions, especially in the online shopping environment. In this respect, the trust factor in online transactions that is established by maintaining good relationships with consumers through interactive marketing also likely explains online purchase decisions. Consequently, this study tests the effect of intention to buy on online purchase decisions as moderated by interactive marketing at an online marketplace in Indonesia, namely Sale-Stock. Data are generated from 200 respondents with the purposive sampling technique by distributing the questionnaires in Google Form through social media. Data are then analyzed with the multiple regression technique. The results show that intention to buy and interactive marketing affect online purchase decisions, both individually and simultaneously. Further, interactive marketing does not moderate the relationship between intention to buy and online purchase decisions.Era digital mengubah aktivitas pemasaran dan perilaku konsumen, khususnya dari transaksi yang bersifat konvensional menjadi digitalisasi dalam online marketplace. Sebelum konsumen memutuskan untuk melakukan pembelian, ada tahapan di mana mereka memiliki kebutuhan dan keinginan untuk memilih, memiliki, dan menggunakan produk tertentu yang disebut sebagai niat beli. Namun, niat dalam berbelanja semata, khususnya dalam transaksi online, belum tentu mendorong seseorang untuk melakukan pembelian. Faktor kepercayaan dalam transaksi online, yang dapat dibangun dengan membangun hubungan yang baik dengan konsumen melalui pemasaran interaktif juga disinyalir menjadi faktor pendukung lain. Penelitian ini menguji pengaruh minat membeli terhadap keputusan pembelian konsumen, yang dimoderasi oleh pemasaran interaktif di salah satu online markeplace Indonesia, yaitu Sale-Stock. Data diperoleh dari 200 responden dengan menggunakan teknik purposive sampling melalui kuesioner yang didistribusikan melalui media sosial dengan menggunakan Google Form. Hasil penelitian yang dianalisis menggunakan teknik regresi berganda menunjukkan bahwa niat beli dan pemasaran interaktif baik secara parsial dan simultan secara signifikan berpengaruh terhadap keputusan pembelian. Lebih lanjut lagi, pemasaran interaktif dikenal sebagai moderator prediktor dalam model penelitian ini

Obedience to Uli’l-Amr and tax compliance: Islamic scholarly perceptions

For Muslims, all aspects of human life including politics and leadership are governed by the Holy Qur’an. One of the well-known verses is QS. An-Nisa 4:59 which instructs the Muslims to obey uli’l-amr. The literature, however, shows that the scope of obedience is not absolute. Resultantly, the current research aims to understand the tax compliance in the context of obedience to authority. It provides a contemporary viewpoint from the Islamic boarding school (pesantren) communities in Depok, Indonesia about enrichment. Both quantitative research and field observations have been used to accomplish the research goals. Focusing on the pesantren communities’ support for the operation of public services, it highlights the connections between obedience to authority and tax compliance. They confirm several assertions frequently linked to tax compliance based on the responsibility on order to obey the ruler, the legitimacy of tax collection, and the intention to engage in tax (non) compliance. The findings enhance the pesantren environment’s support for taxation as a commitment to implement QS. An-Nisa 4: 59. If the government’s ability to collect taxes is constrained, it would remind them to handle this resource efficiently. This study emphasises the importance of taxation for the viability of the state with genuine support for taxation, transcending any political right. Since uli’l-amr is inherent in religious teachings, the government’s main goal remains to encourage taxpayer compliance through various means of assistance. In this regard, recommendations for promoting tax compliance through some mechanisms are also presented

The macroeconomic factors affecting government bond yield in Indonesia, Malaysia, Thailand, and the Philippines

© The author(s) 2020. This publication is an open access article. © Benny Budiawan Tjandrasa, Hotlan Siagian, Ferry Jie, 2020 The government bond (GB) has become the most attractive investment portfolio option, even though many macroeconomic factors affect the bond yield. This paper aims to investigate the determining factor of local currency government bond yield by considering the inflation rate, credit default swap, stock market index, exchange rate, and volatility index. This study used 240 data panel from the Bloomberg stock market in the form of data panel covering Southeast developing countries, namely Indonesia, Thailand, Malaysia, and the Philippines, for five years or sixty months from January 2015 to December 2019. Data analysis used recursive models and multivariate regression techniques using EViews software. The random effect model results revealed that change in the foreign exchange rate and volatility indexes affected, partially and simultaneously, the changes in the stock market index. The result also showed that changes in the stock market index, inflation rate, and credit default swap affected, partially and simultaneously, government bond yield changes. These results suggest that the government bond yield could be managed by controlling volatility index, foreign exchange rate, stock market index, inflation rates, and credit default swaps. This finding could provide an insight into the policymaker and fiscal authority on managing the risk of government bonds under control during high volatility or even making it reasonably lower. This result could contribute to the current research in the field of financial management

The Readiness of Palm Oil Industry in Enterprise Resource Planning

The palm oil industry is one of the sources of non-oil and gas foreign exchange of Indonesia. It contributes to National Gross Domestic Product at 13.96% in 2017. This study aims to examine the readiness of palm oil industry in the implementation of Enterprise Resources Planning (ERP). The readiness of palm oil industry in implementing ERP, is not only about a large cost, but also the ERP has required great resources including human respurces, technology, management, and process and data. Thus, it should fit the needs of the industry. Using the Critical Success Factors (CSF) method, this study employs five dimensions of the ERP readiness, that is management, process, technology, data, and personnel. A survey research method is employed to acquire the data and there are 19 items for those five dimensions. A gap analysis is employed to analyse the data and this method is used to determinethe disparity between existing conditions and future expectations. The findings reveal that the palm oil industry is well prepared to implement the ERP from four dimensions of management, technology, process and personnel.The management factor is the one of an factor of readiness in the ready category together with other factors including process, and human resources. Technology is the best factor which has led to increasing demands for building a strong information technology infrastructure to integrate business processes. The company needs to complete the master data onto the database and change the database system integrated into a single database that causes data is lack of ready data in ERP implementation