Search results
1 – 10 of 386Md. Kausar Alam, Oli Ahad Thakur and Fakir Tajul Islam
Inventory is a crucial part of a systematic supply chain of a business. Small firms mostly neglect inventory management (IM) by accumulating excessive inventory for a time. The…
Abstract
Purpose
Inventory is a crucial part of a systematic supply chain of a business. Small firms mostly neglect inventory management (IM) by accumulating excessive inventory for a time. The study aims to examine the IM practices of small and medium enterprises (SMEs) in Bangladesh.
Design/methodology/approach
The study applied a qualitative case study design. Data were collected from ten SME owners in Bangladesh. The study employed a purposive sampling technique to collect data. This study used semi-structured interviews to generate data. The NVivo software was used to analyze the data.
Findings
The findings show that most SME business owners collect raw materials from the local market. Along with the local sources, they collect raw materials from international markets. Some SME entrepreneurs collect raw materials throughout the country as they dealt with recycled products. Frequently, they used digital technologies and online media to manage raw materials. SME owners could not buy many raw materials due to financial crisis, wastage, and damage, leading to a ratio of 10–15% losses.
Research limitations/implications
This research contributes greatly to the government, SME Foundation, and trade associations concerning the SME IM system. The study recommends the government should reduce the tax rate on importing SME raw materials and inventories and exporting SME products.
Originality/value
This is the first study that focuses on the IM systems of SMEs in Bangladesh.
Details
Keywords
Jeff Vanevenhoven, Doan Winkel, Debra Malewicki, William L. Dougan and James Bronson
We offer a theoretical account of how two types of bricolage influence the entrepreneurial process. The first type involves social relationships or physical or functional assets…
Abstract
We offer a theoretical account of how two types of bricolage influence the entrepreneurial process. The first type involves social relationships or physical or functional assets, and thus pertains to an entrepreneurʼs external resources used in the instantiation of operations of a new venture. The second type pertains to an entrepreneurʼs internal resources‐experiences, credentials, knowledge, and certifications‐which the entrepreneur appropriates, assembles, modifies and deploys in the presentation of a narrative about the entrepreneurial process. We argue that both types of bricolage are essential to the success of a venturing attempt.
Details
Keywords
Karunamunige Sandun Madhuranga Karunamuni, Ekanayake Mudiyanselage Kapila Bandara Ekanayake, Subodha Dharmapriya and Asela Kumudu Kulatunga
The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process…
Abstract
Purpose
The purpose of this study is to develop a novel general mathematical model to find the optimal product mix of commercial graphite products, which has a complex production process with alternative sub-processes in the graphite mining production process.
Design/methodology/approach
The network optimization was adopted to model the complex graphite mining production process through the optimal allocation of raw graphite, byproducts, and saleable products with comparable sub-processes, which has different processing capacities and costs. The model was tested on a selected graphite manufacturing company, and the optimal graphite product mix was determined through the selection of the optimal production process. In addition, sensitivity and scenario analyses were carried out to accommodate uncertainties and to facilitate further managerial decisions.
Findings
The selected graphite mining company mines approximately 400 metric tons of raw graphite per month to produce ten types of graphite products. According to the optimum solution obtained, the company should produce only six graphite products to maximize its total profit. In addition, the study demonstrated how to reveal optimum managerial decisions based on optimum solutions.
Originality/value
This study has made a significant contribution to the graphite manufacturing industry by modeling the complex graphite mining production process with a network optimization technique that has yet to be addressed at this level of detail. The sensitivity and scenario analyses support for further managerial decisions.
Details
Keywords
Gina Vega and Roland E. Kidwell
This article advances a conceptual typology delineating the differences and similarities between business- and social-sector new venture creators. Our classification scheme…
Abstract
This article advances a conceptual typology delineating the differences and similarities between business- and social-sector new venture creators. Our classification scheme differentiates business and social entrepreneurs, considering characteristics of social entrepreneurs in a larger entrepreneurial context.Within a conceptual 2x2 typology based on two dimensions: drive (passion vs. business) and desired return (financial ROI vs. social ROI), we identify and classify 80 examples of new venture creators into one of the quadrants of an enterprise model of entrepreneurs. Preliminary results reveal similarities between social and traditional entrepreneurs and differentiate social entrepreneurs in terms of traits, goals, tendencies, and motivational sources.
Manuel Rossetti, Juliana Bright, Andrew Freeman, Anna Lee and Anthony Parrish
This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management…
Abstract
Purpose
This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.
Design/methodology/approach
The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.
Findings
Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.
Originality/value
To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.
Details
Keywords
Armin Mahmoodi, Leila Hashemi, Amin Mahmoodi, Benyamin Mahmoodi and Milad Jasemi
The proposed model has been aimed to predict stock market signals by designing an accurate model. In this sense, the stock market is analysed by the technical analysis of Japanese…
Abstract
Purpose
The proposed model has been aimed to predict stock market signals by designing an accurate model. In this sense, the stock market is analysed by the technical analysis of Japanese Candlestick, which is combined by the following meta heuristic algorithms: support vector machine (SVM), meta-heuristic algorithms, particle swarm optimization (PSO), imperialist competition algorithm (ICA) and genetic algorithm (GA).
Design/methodology/approach
In addition, among the developed algorithms, the most effective one is chosen to determine probable sell and buy signals. Moreover, the authors have proposed comparative results to validate the designed model in this study with the same basic models of three articles in the past. Hence, PSO is used as a classification method to search the solution space absolutelyand with the high speed of running. In terms of the second model, SVM and ICA are examined by the time. Where the ICA is an improver for the SVM parameters. Finally, in the third model, SVM and GA are studied, where GA acts as optimizer and feature selection agent.
Findings
Results have been indicated that, the prediction accuracy of all new models are high for only six days, however, with respect to the confusion matrixes results, it is understood that the SVM-GA and SVM-ICA models have correctly predicted more sell signals, and the SCM-PSO model has correctly predicted more buy signals. However, SVM-ICA has shown better performance than other models considering executing the implemented models.
Research limitations/implications
In this study, the authors to analyze the data the long length of time between the years 2013–2021, makes the input data analysis challenging. They must be changed with respect to the conditions.
Originality/value
In this study, two methods have been developed in a candlestick model, they are raw based and signal-based approaches which the hit rate is determined by the percentage of correct evaluations of the stock market for a 16-day period.
Details