Improving success rates for Indigenous business engagement

2017 ◽  
Vol 57 (2) ◽  
pp. 543
Author(s):  
Murray Saylor ◽  
Deb Archbold
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Lead Time ◽  
Oil And Gas ◽  
Success Rates ◽  
Failure Risk ◽  
Contract Failure ◽  
The Relationship

Although some oil and gas projects have successfully engaged Indigenous businesses in their supply chain, other projects have found this difficult to achieve. Understanding the risk factors in the process of Indigenous engagement and successfully managing those risks creates a positive environment for Indigenous business engagement, one that is much more likely to support long-term success and minimise business and contract failure. Risk management areas to consider include not understanding Traditional Owner community goals and priorities, not assisting communities to build their capabilities and poor communication. This paper maps these risks and outlines four practical strategies to mitigate these risks: (1) giving local Indigenous businesses the lead time to prepare for work opportunities and build their capabilities; (2) including a mix of large, medium-sized and small local Indigenous businesses in the supply chain; (3) using culturally respectful pathways for Indigenous employment; and (4) maintaining the relationship with Traditional Owner groups. Managing risks and using these practical approaches will improve and increase Indigenous business engagement in project supply chains.

scholarly journals An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries

2021 ◽  
Vol 13 (2) ◽  
pp. 445
Author(s):  
Wen-Kuo Chen ◽  
Venkateswarlu Nalluri ◽  
Suresh Ma ◽  
Mei-Min Lin ◽  
Ching-Torng Lin
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Service Providers ◽  
Telecommunications Industry ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
The Impact ◽  
The Relationship

Different sources of risk factors can occur in sustainable supply chain management due to its complex nature. The telecommunication service firm cannot implement multiple improvement practices altogether to overcome the risk factors with limited resources. The industries should evaluate the relationship between risk factors and explore the determinants of improvement measures. The purpose of the present study is to identify and analyze critical risk factors (CRFs) for enhancing sustainable supply chain management practices in the Indian telecommunication industry using interpretive structural modelling (ISM). Risk factors are identified through a literature survey, and then with the help of experts, nine CRFs are identified using a fuzzy Delphi method (FDM). The relationship among these CRFs has been analyzed using ISM, and the driving and the dependence power of those CRFs are analyzed. Results indicate that both “government policies (laws and regulations)” and “the impact of rapid change in technology” are independent or key factors that affect the sustainability of the telecommunications supply chain. In addition, results provide significant managerial implications, including enhanced sustainability, and the government should build justice, fairness, open laws, certainties, and regulations to prevent risk in the telecommunications industry supply chain; service providers should monitor the rapidly evolving technologies and focus on technical learning and organizational capacity development to overcome the impact of technological changes. The contribution of this study is using a novel approach to establish a hierarchical structural model for an effective understanding of CRFs relationships and to explore decisive risk factors that can help telecom service providers to better plan and design effective improvement strategies to enhance sustainability supply chain management.

HC and financial performance with two HRM strategies

2017 ◽  
Vol 66 (4) ◽  
pp. 459-478 ◽  
Author(s):  
Nopadol Rompho
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Financial Performance ◽  
Lead Time ◽  
Design Methodology ◽  
Strategy Choice ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to examine the relationship between levels of human capital and financial performance of firms that use two distinct human resource management (HRM) strategies. Design/methodology/approach A survey of 128 HRM managers was conducted to assess differences in human capital between firms using different HRM strategies. A multiple regression analysis was used to investigate the relationship between firms’ human capital and financial performance. Findings The results show that companies employing a make-organic strategy have a higher level of human capital than companies employing a buy-bureaucratic strategy. There was no relationship between the level of human capital and long term financial performance of firms with both make-organic and buy-bureaucratic strategies. Research limitations/implications This research contributes toward understanding the effect of HRM strategy and facilitates an optimal strategy choice depending on the organization. However, this study did not consider the lead time between changes in human capital and the effect on financial performance. Practical implications The research encourages firm managers to understand the value of human capital, preparing them for changes in the future. Originality/value This study is among the first to investigate the relationship between human capital and financial performance considering different HRM strategies.

scholarly journals Well Integrity Analysis and Application Based on FTA Method

2016 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Lili Yan
Keyword(s):  
Risk Factors ◽  
Oil And Gas ◽  
Gas Production ◽  
Control Measures ◽  
Analysis Model ◽  
Oil And Gas Production ◽  
Wellbore Integrity ◽  
Minimum Path ◽  
Failure Risk ◽  
Production Run

<p><em>With the increase of development the well integ</em><em>c</em><em>rity</em><em> </em><em>problem are becoming more and more serious. This article uses the </em><em>F</em><em>ault </em><em>T</em><em>ree </em><em>A</em><em>nalysis (FTA) method for many factors, such as completion, production and operation process, pressure annulus, the cementing quality, the wellhead system and leakage of pipe string.</em><em> </em><em>Many wellbore risk factors to conduct a comprehensive analysis and evaluation. Through the qualitative analysis of wellbore integrity failure risk, determining the level of risk factors and establishing the damage analysis model of the wellbore. According to the selected blocks in Shengli Oilfield example analysis of single wells find out the minimum cut sets, the minimum path sets and structure importance. The results showed that the selected block probability of top event is calculated and it’s 0.9961, and the actual selection conforms to statistics prove that the proposed based on the FTA wellbore damage risk analysis method is feasible, and through quantitative analysis and calculation of basic events of different important degree of parameters.</em></p><p><em>According to these risk factors for prevention of failure risk control measures are put forward, which provides reference for predict wellbore integrity to ensure the safety of oil and gas production run smoothly.</em></p>

Organizational Performance through Dairy Supply Chain Management Practices

2016 ◽  
pp. 84-96
Author(s):  
Rajeev Kumar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Management System ◽  
Market Performance ◽  
Customer Relationship ◽  
Chain Management ◽  
Improved Performance ◽  
The Relationship

Organizational implementing supply chain management (SCM) has obtained improved performance. Cost savings, increased revenues and the reduction of defects in products are some of the main advantages of introducing dairy supply chain management. These are also mentioned as long-term goals of the supply chain. Business profitability is closely associated with market and business shares. Based on the long-term goals of the SCM, the organizational performance measures are identified as financial and market performance and customer satisfaction. In the context of SCM, the financial and market performance factor is operational zed in terms of market share, return of total assets, annuals sales growth (Tan et al, 1999).The research paper attempts to find out the relationship between the dairy supply chain management (DSCM) practices and organizational performance. Various practices of DSCM through extensive literature review is taken into account i.e. Information and Communication Technology Practices, Supplier Relationship Practices, Supply Chain Manufacturing Practices, Inventory management system, Warehousing Management System, Transportation Management System, Customer Relationship Management for establishing the relationship with organizational performance. The aim of this study is to recommend these findings to companies which are still at the infancy stage when it comes to dairy supply chain management and integration with customers and suppliers.

Structural modelling of internal risk factors for oil and gas construction projects

2020 ◽  
Vol 14 (5) ◽  
pp. 975-1000
Author(s):  
Mukhtar A. Kassem ◽  
Muhamad Azry Khoiry ◽  
Noraini Hamzah
Keyword(s):  
Risk Factors ◽  
Construction Projects ◽  
Oil And Gas ◽  
Project Success ◽  
Partial Least Square ◽  
Oil Field ◽  
Path Coefficient ◽  
Content Type ◽  
Oil Companies ◽  
The Relationship

Purpose Project failure is the result of one or a combination of several causes of risk factors that are very important to identify for effective performance. This study aims to focus on studying the fundamental relationship between internal risk factors and the negative effect on oil and gas project success in Yemen using the partial least square structural equation modelling (PLS-SEM) method. Design/methodology/approach Data collection was carried out using a formal questionnaire survey of the oil field sector in Yemen by companies involved in mega-oil and gas construction projects. A hierarchical model for determining causative internal risk factors and their effects was developed and evaluated using SEM method by SmartPLS3 software technology. Findings The findings of analyzing model indicate that all categories have a significant effect on project success, while the most significant affected categories in the internal risk factors are project management factors, feasibility study-design and resources-material supply with a path coefficient value of 0.213, 0.197 and 0.186, respectively. Moreover, for the hypotheses test, the positive relationship means that all experimental hypotheses are accepted according to path coefficient value analysis. In addition, the internal risk factors research model shows the ranking of effects on project success starting with project stoppage (loading factor 0.841), cost overruns (loading factor 0.818), time overruns (loading factor 0.726) and project target failure with loading factor 0.539. Research limitations/implications The research was limited to the oil and gas construction projects in Yemen. Practical implications Interpreting the relationship between internal risk factors and their impact on the success of construction projects in the oil and gas sector will assist project team and oil companies in developing risk response strategies and developing appropriate plans to mitigate the effects of risks, which is presented in this paper. Originality/value The paper explains the relationship between cause and effect of internal risk factors in oil and gas projects in Yemen, and is expected to be a guideline for the oil companies and future academic research in the risk management area.

scholarly journals Reverse logistics risk management: identification, clustering and risk mitigation strategies

2020 ◽  
Vol 58 (7) ◽  
pp. 1449-1474 ◽  
Author(s):  
Hamidreza Panjehfouladgaran ◽  
Stanley Frederick W.T. Lim
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Reverse Logistics ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Risk Mitigation Strategies

PurposeReverse logistics (RL), an inseparable aspect of supply chain management, returns used products to recovery processes with the aim of reducing waste generation. Enterprises, however, seem reluctant to apply RL due to various types of risks which are perceived as posing an economic threat to businesses. This paper draws on a synthesis of supply chain and risk management literature to identify and cluster RL risk factors and to recommend risk mitigation strategies for reducing the negative impact of risks on RL implementation.Design/methodology/approachThe authors identify and cluster risk factors in RL by using risk management theory. Experts in RL and supply chain risk management validated the risk factors via a questionnaire. An unsupervised data mining method, self-organising map, is utilised to cluster RL risk factors into homogeneous categories.FindingsA total of 41 risk factors in the context of RL were identified and clustered into three different groups: strategic, tactical and operational. Risk mitigation strategies are recommended to mitigate the RL risk factors by drawing on supply chain risk management approaches.Originality/valueThis paper studies risks in RL and recommends risk management strategies to control and mitigate risk factors to implement RL successfully.

Long-term medical cannabis use and risk factors for diversion: Report on physician's guidance and patients’ behaviour

2019 ◽  
Vol 18 (1) ◽  
pp. 18-23
Author(s):  
Sharon R. Sznitman ◽  
Victoria Goldberg ◽  
Hedva Sheinman-Yuffe ◽  
Yuval Zolotov ◽  
Ezequiel Flechter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cannabis Use ◽  
Medical Cannabis ◽  
Safety Practices ◽  
Face To Face ◽  
Safe Storage ◽  
Regular Manner ◽  
Key Aspects ◽  
The Relationship

AbstractObjectivesVarious jurisdictions have legalized cannabis for medical purposes. As with all psychoactive medications, medical cannabis carries a risk of diversion and accidental ingestion. These risks may be particularly high among long-term medical cannabis patients as safety practices may become less salient to patients once the treatment becomes part of everyday life. The current study examines whether patients who have used medical cannabis for longer periods differ from those who have used for shorter periods in terms of sociodemographic background and other key aspects of medical cannabis use. Furthermore, the study examines the relationship between length of medical cannabis treatment and risk factors related to storage and diversion. Finally, the study examines the extent to which oncologists provide information to their patients about safe storage and disposal.MethodsOne hundred twenty-one medical cannabis oncology patients were interviewed face-to-face and 55 oncologists participated in a survey about safe storage and disposal practices related to medical cannabis.ResultsLength of medical cannabis treatment was related to administration by smoking and using higher monthly dosages. In terms of risk for unsafe storage and diversion, length of medical cannabis was positively associated with using cannabis outside the home and having been asked to give away medical cannabis. Physicians did not report providing information to patients regarding safe storage and disposal practices in a regular manner.Significance of resultsResults suggest that there is an ongoing risk of unsafe storage and diversion over the course of medical cannabis treatment. Oncologists may need to give more consistent and continued training in safe storage and disposal practices, especially among long-term medical cannabis patients.

scholarly journals ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Aleksandar Vujović ◽  
Aleksandar Đorđević ◽  
Ranka Gojković ◽  
Milan Borota
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Good Practice ◽  
Uncertain Data ◽  
Real Life ◽  
Frequency Of Occurrence ◽  
Management Problem ◽  
Extreme Risk

The problem of classification of risk factors in an uncertain environment is part of the risk management problem, which has a critical effect on the competitive advantage of production supply chain. The severities of consequences, their relative importance, and the frequency of occurrence of risk factors are defined by risk management team, depending on their experience and the results of good practice. Fuzzy rating of the severities of consequences and the frequency of occurrence of risk factors are described by linguistic expressions, which are modeled by triangular fuzzy numbers. The risk values, obtained by the materialization of the identified risk factors, are given precisely with the usage of fuzzy algebra rules. The classification criterion is defined as the distance between current risk value and extreme risk values. The proposed model enables determination of the priorities of risk factors. It is illustrated by an example with real-life data from a production supply chain in auto industry.

scholarly journals Risk Management in Oil and Gas (EPC) Industry

2021 ◽  
Vol 9 (9) ◽  
pp. 1255-1264
Author(s):  
Prashant Pralhad Kadam
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Oil And Gas ◽  
Safety Management ◽  
Management Strategies ◽  
Oil And Gas Industry ◽  
Construction Costs ◽  
Defective Items ◽  
Gas Industry ◽  
Risk Management Strategies

Abstract: The five most important risk factors identified in the design phase are 1] scope uncertainty, 2] failed management and planning, 3] changes in errors and omissions, 4] inadequate projectS team structure, 5] inadequate quality requirements. The top five risk factors determined by the procurement category are 1] Inadequate online resources and equipment, 2] Distribution of suppliers, 3] Uncertainty in design and style, codes, requirements and standards, 4] Defective items, and 5] Compromise. The 5 most important risk factors identified in the construction phase are 1] weak project capability, 2] excessive construction costs, 3] major construction delays, 4] strong project plan, and 5] poor safety management .This was initiated by the link between risk factors and the effects on price, quality and timing, as well as the potential for expensive, common, and high-quality outcomes. Keywords: Disaster risk management, risk management strategies, project risk management, oil and gas industry.

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